From 3b4974c782e36141a4f8c2392f82f0514bb5979d Mon Sep 17 00:00:00 2001 From: Jeffrey Newman Date: Mon, 9 Dec 2024 15:39:47 -0600 Subject: [PATCH] Re-estimation (#3) * pydantic for estimation settings * allow df as type in config * fix table_info * auto ownership * repair for pydantic * update for ruff * updated for simple models * repair for Pydantic * simple simulate and location choice * df is attribute * scheduling * stop freq * test locations * cdap * nonmand_and_joint_tour_dest_choice * nonmand_tour_freq * fix ci to stop using mamba * test updates * use larch6 from pip * use numba for stop freq * fix for pandas 1.5 * fix stop freq test for numba * Sharrow Cache Dir Setting (#893) * setting necessary filesystem changes from settings file * set for multiprocessing * repair github actions * github action updates (#903) * script to make data * unified script for making data * remove older * bug * doc note * load from parquet if available * add original alt ids to EDB output when using compact * fix MP race * script arg to skip to EDB * clean up CDAP and blacken * refactor model_estimation_table_types change to estimation_table_types, to avoid pydantic namespace clash * repair drop_dupes * blacken * location choice with compact * choice_def for compact * spec changes for simple-simulate * re-estimation demo for auto ownership * clean up status messages * change name to stop pydantic warnings * edit configs * default estimation sample size is same as regular sample size * allow location alts not in cv format * dummy zones for location choice * update scheduling model estimation * various cleanup * stop freq * tidy build script * update 02 school location for larger example * update notebook 04 * editable model re-estimation for location choice * fix test names * update notebooks * cdap print filenames as loading * notebook 07 * tests thru 07 * notebooks 08 09 * build the data first * runnable script * change larch version dependency * keep pandas<2 * notebooks 10 11 * notebook 12 * remove odd print * add matplotlib * notebook 13 14 * test all the notebooks * add xlsxwriter to tests * notebook 15 * CDAP revise model spec demo * notebook 16 * notebook 17 * longer timeout * notebook 18 * notebook 19 * notebook 20 * smaller notebook 15 * configurable est mode setup * notebook 21 * notebook 22 * config sample size in GA * notebook 23 * updates for larch and graphviz * change default to compact * compare model 03 * test updates * rename test targets * repair_av_zq * move doctor up * add another repair * oops --------- Co-authored-by: David Hensle <51132108+dhensle@users.noreply.github.com> --- .github/workflows/branch-docs.yml | 2 +- .github/workflows/build_installer.yml | 4 +- .github/workflows/core_tests.yml | 145 +- .github/workflows/deployment.yml | 18 +- .github/workflows/test-deploy.yml | 10 +- activitysim/abm/models/location_choice.py | 3 +- activitysim/abm/models/trip_destination.py | 9 +- .../abm/models/util/tour_destination.py | 11 +- activitysim/cli/run.py | 5 +- activitysim/core/configuration/filesystem.py | 15 +- activitysim/core/configuration/logit.py | 7 +- activitysim/core/estimation.py | 51 +- activitysim/core/interaction_sample.py | 4 +- activitysim/core/mp_tasks.py | 1 + activitysim/core/workflow/state.py | 9 +- activitysim/estimation/larch/__init__.py | 15 +- .../estimation/larch/auto_ownership.py | 80 - activitysim/estimation/larch/cdap.py | 56 +- activitysim/estimation/larch/general.py | 97 +- .../estimation/larch/location_choice.py | 210 +- activitysim/estimation/larch/mode_choice.py | 25 +- .../estimation/larch/nonmand_tour_freq.py | 96 +- activitysim/estimation/larch/scheduling.py | 93 +- .../estimation/larch/simple_simulate.py | 100 +- .../estimation/larch/stop_frequency.py | 82 +- .../estimation_template.yaml | 2 +- .../estimation/test/test_larch_estimation.py | 24 +- .../test_larch_estimation/test_cdap_model.csv | 324 +- .../test_cdap_model_loglike.csv | 2 +- .../test_joint_tour_scheduling_loglike.csv | 2 +- ...twork_subtour_destination_BHHH_loglike.csv | 2 + ...rk_subtour_destination_BHHH_size_spec.csv} | 2 +- ...loc_atwork_subtour_destination_loglike.csv | 2 - ..._loc_atwork_subtour_scheduling_loglike.csv | 2 - ...ndatory_tour_destination_SLSQP_loglike.csv | 2 + ...tory_tour_destination_SLSQP_size_spec.csv} | 20 +- ...non_mandatory_tour_destination_loglike.csv | 2 - ..._non_mandatory_tour_scheduling_loglike.csv | 2 - .../test_loc_school_location_BHHH_loglike.csv | 2 + ...est_loc_school_location_BHHH_size_spec.csv | 23 + ...test_loc_school_location_SLSQP_loglike.csv | 2 + ...st_loc_school_location_SLSQP_size_spec.csv | 23 + .../test_loc_school_location_loglike.csv | 2 +- .../test_loc_school_location_size_spec.csv | 10 +- ...test_loc_trip_destination_BHHH_loglike.csv | 2 + ...t_loc_trip_destination_BHHH_size_spec.csv} | 16 +- .../test_loc_trip_destination_loglike.csv | 2 - ...t_loc_workplace_location_SLSQP_loglike.csv | 2 + ...oc_workplace_location_SLSQP_size_spec.csv} | 8 +- .../test_loc_workplace_location_loglike.csv | 2 - ..._atwork_subtour_destination_BHHH_None_.csv | 22 +- ...mandatory_tour_destination_SLSQP_None_.csv | 72 +- ...ation_model_school_location_BHHH_None_.csv | 21 + ...tion_model_school_location_SLSQP_None_.csv | 42 +- ...tion_model_trip_destination_BHHH_None_.csv | 48 + ...ion_model_trip_destination_SLSQP_0_12_.csv | 48 - ...n_model_workplace_location_SLSQP_None_.csv | 70 +- ...ndatory_tour_scheduling_school_loglike.csv | 2 +- ...mandatory_tour_scheduling_work_loglike.csv | 2 +- ..._non_mandatory_tour_scheduling_loglike.csv | 2 +- ...est_nonmand_and_joint_tour_dest_choice.csv | 72 +- ...and_and_joint_tour_dest_choice_loglike.csv | 2 +- .../test_nonmand_tour_freq.csv | 852 +- .../test_nonmand_tour_freq_loglike.csv | 16 +- ...model_atwork_subtour_scheduling_SLSQP_.csv | 50 - ...ing_model_joint_tour_scheduling_SLSQP_.csv | 120 +- ...andatory_tour_scheduling_school_SLSQP_.csv | 112 +- ..._mandatory_tour_scheduling_work_SLSQP_.csv | 128 +- ...l_non_mandatory_tour_scheduling_SLSQP_.csv | 180 +- .../test_school_location.csv | 42 +- .../test_school_location_loglike.csv | 2 +- .../test_school_location_size_spec.csv | 10 +- ...mulate_atwork_subtour_frequency_SLSQP_.csv | 222 +- ...atwork_subtour_frequency_SLSQP_loglike.csv | 2 +- ...t_simple_simulate_auto_ownership_BHHH_.csv | 2 +- ...est_simple_simulate_free_parking_BHHH_.csv | 2 +- ...simulate_joint_tour_composition_SLSQP_.csv | 64 +- ...e_joint_tour_composition_SLSQP_loglike.csv | 2 +- ...e_simulate_joint_tour_frequency_SLSQP_.csv | 154 +- ...mulate_joint_tour_participation_SLSQP_.csv | 120 +- ...imulate_mandatory_tour_frequency_BHHH_.csv | 108 +- ...mulate_mandatory_tour_frequency_SLSQP_.csv | 108 +- ...mandatory_tour_frequency_SLSQP_loglike.csv | 2 +- ...imple_simulate_trip_mode_choice_SLSQP_.csv | 546 +- .../test_stop_freq_model.csv | 378 +- .../test_stop_frequency_loglike.csv | 2 +- .../test_tour_and_subtour_mode_choice.csv | 604 +- .../test_workplace_location.csv | 70 +- .../test_workplace_location_loglike.csv | 2 +- .../test_workplace_location_size_spec.csv | 8 +- .../build_full_mtc_example.py | 195 + .../configs/estimation.yaml | 4 +- .../configs_estimation/estimation.yaml | 129 + .../configs_estimation/logging.yaml | 67 + .../configs_estimation/settings.yaml | 165 + .../notebooks/02_school_location.ipynb | 2156 +-- .../notebooks/03_work_location.ipynb | 5631 ++++---- .../notebooks/04_auto_ownership.ipynb | 5670 ++++++-- .../notebooks/05_free_parking.ipynb | 1003 +- .../notebooks/06_cdap.ipynb | 7651 +++++++--- .../notebooks/07_mand_tour_freq.ipynb | 3057 ++-- .../notebooks/08_work_tour_scheduling.ipynb | 2732 ++-- .../notebooks/09_school_tour_scheduling.ipynb | 3694 ++--- .../notebooks/10_joint_tour_freq.ipynb | 2543 ++-- .../notebooks/11_joint_tour_composition.ipynb | 2003 +-- .../12_joint_tour_participation.ipynb | 3320 +++-- .../13_joint_nonmand_tour_dest.ipynb | 3323 ++--- .../notebooks/14_joint_tour_scheduling.ipynb | 3824 ++--- .../notebooks/15_non_mand_tour_freq.ipynb | 11795 +++++++++++----- .../16_nonmand_tour_scheduling.ipynb | 3410 ++--- .../notebooks/17_tour_mode_choice.ipynb | 6278 ++++---- .../notebooks/18_atwork_subtour_freq.ipynb | 3380 +++-- .../notebooks/19_atwork_subtour_dest.ipynb | 1864 +-- .../20_atwork_subtour_scheduling.ipynb | 3425 ++--- .../notebooks/21_stop_frequency.ipynb | 5693 ++++---- .../notebooks/22_trip_dest.ipynb | 3497 +++-- .../notebooks/23_trip_mode_choice.ipynb | 5809 ++++---- .../notebooks/est_mode_setup.py | 83 + .../example_estimation/scripts/infer.py | 5 +- .../configs/tour_scheduling_school.csv | 2 +- .../configs/tour_scheduling_school.csv | 2 +- .../configs/estimation.yaml | 4 +- conda-environments/activitysim-dev-base.yml | 2 +- conda-environments/activitysim-dev.yml | 2 +- conda-environments/docbuild.yml | 2 +- conda-environments/github-actions-tests.yml | 2 + pyproject.toml | 10 +- 127 files changed, 56077 insertions(+), 42296 deletions(-) delete mode 100644 activitysim/estimation/larch/auto_ownership.py create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_loglike.csv rename activitysim/estimation/test/test_larch_estimation/{test_loc_atwork_subtour_destination_size_spec.csv => test_loc_atwork_subtour_destination_BHHH_size_spec.csv} (97%) delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_loglike.csv delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_scheduling_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_loglike.csv rename activitysim/estimation/test/test_larch_estimation/{test_loc_non_mandatory_tour_destination_size_spec.csv => test_loc_non_mandatory_tour_destination_SLSQP_size_spec.csv} (51%) delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_loglike.csv delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_scheduling_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_size_spec.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_size_spec.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_loglike.csv rename activitysim/estimation/test/test_larch_estimation/{test_loc_trip_destination_size_spec.csv => test_loc_trip_destination_BHHH_size_spec.csv} (63%) delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_loglike.csv rename activitysim/estimation/test/test_larch_estimation/{test_loc_workplace_location_size_spec.csv => test_loc_workplace_location_SLSQP_size_spec.csv} (72%) delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_loglike.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_BHHH_None_.csv create mode 100644 activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_BHHH_None_.csv delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_SLSQP_0_12_.csv delete mode 100644 activitysim/estimation/test/test_larch_estimation/test_scheduling_model_atwork_subtour_scheduling_SLSQP_.csv create mode 100644 activitysim/examples/example_estimation/build_full_mtc_example.py create mode 100644 activitysim/examples/example_estimation/configs_estimation/estimation.yaml create mode 100644 activitysim/examples/example_estimation/configs_estimation/logging.yaml create mode 100644 activitysim/examples/example_estimation/configs_estimation/settings.yaml create mode 100644 activitysim/examples/example_estimation/notebooks/est_mode_setup.py diff --git a/.github/workflows/branch-docs.yml b/.github/workflows/branch-docs.yml index 7a4ab1f1c..6447d047d 100644 --- a/.github/workflows/branch-docs.yml +++ b/.github/workflows/branch-docs.yml @@ -15,7 +15,7 @@ jobs: run: shell: bash -l {0} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 # get all tags, lets setuptools_scm do its thing diff --git a/.github/workflows/build_installer.yml b/.github/workflows/build_installer.yml index e6efa4814..cea4feca6 100644 --- a/.github/workflows/build_installer.yml +++ b/.github/workflows/build_installer.yml @@ -26,7 +26,7 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v3 + uses: actions/checkout@v4 - uses: conda-incubator/setup-miniconda@v3 with: @@ -47,7 +47,7 @@ jobs: shell: bash - name: Upload installer to Github artifact - uses: actions/upload-artifact@v3 + uses: actions/upload-artifact@v4 with: path: build/Activitysim-${{ inputs.version }}-${{ matrix.OS_NAME }}-${{ matrix.ARCH }}* name: Activitysim-${{ inputs.version }}-${{ matrix.OS_NAME }}-${{ matrix.ARCH }} diff --git a/.github/workflows/core_tests.yml b/.github/workflows/core_tests.yml index 6c95140e4..3b1a03b9e 100644 --- a/.github/workflows/core_tests.yml +++ b/.github/workflows/core_tests.yml @@ -26,13 +26,11 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ matrix.python-version }} - name: Set cache date for year and month @@ -46,7 +44,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -58,8 +56,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Lint with Black run: | @@ -111,13 +109,11 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ matrix.python-version }} - name: Set cache date for year and month @@ -131,7 +127,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -143,8 +139,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Lint with Black run: | @@ -194,13 +190,11 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ env.python-version }} - name: Set cache date for year and month @@ -214,7 +208,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -226,8 +220,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list # TODO: Cache sharrow compiled flows? The contents of __pycache__ appear to # be ignored, so this is not working as expected right now @@ -282,13 +276,11 @@ jobs: - name: Checkout ActivitySim uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ env.python-version }} - name: Set cache date for year and month @@ -304,7 +296,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -316,8 +308,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Checkout Example uses: actions/checkout@v4 @@ -345,13 +337,11 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ env.python-version }} - name: Set cache date for year and month @@ -365,7 +355,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -377,8 +367,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Test Random Seed Generation run: | @@ -392,18 +382,16 @@ jobs: defaults: run: shell: bash -l {0} - name: estimation_mode_test + name: Estimation Mode Unit Tests runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ env.python-version }} - name: Set cache date for year and month @@ -417,11 +405,11 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - - name: Install Larch - run: mamba install "larch>=5.7.1" + - name: Install Larch v6 + run: python -m pip install larch6 - name: Install activitysim # installing without dependencies is faster, we trust that all needed dependencies @@ -432,14 +420,75 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Test Estimation Mode run: | python -m pytest activitysim/estimation/test/test_larch_estimation.py --durations=0 - - + + estimation_notebooks: + needs: foundation + env: + python-version: "3.10" + label: linux-64 + defaults: + run: + shell: bash -l {0} + name: Estimation Notebooks Test + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Setup Miniforge + uses: conda-incubator/setup-miniconda@v3 + with: + miniforge-version: latest + activate-environment: asim-test + python-version: ${{ env.python-version }} + + - name: Set cache date for year and month + run: echo "DATE=$(date +'%Y%m')" >> $GITHUB_ENV + + - uses: actions/cache@v4 + with: + path: ${{ env.CONDA }}/envs + key: ${{ env.label }}-conda-${{ hashFiles('conda-environments/github-actions-tests.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }} + id: cache + + - name: Update environment + run: | + conda env update -n asim-test -f conda-environments/github-actions-tests.yml + if: steps.cache.outputs.cache-hit != 'true' + + - name: Install Graphviz + uses: ts-graphviz/setup-graphviz@v2 + + - name: Install Larch v6 + run: python -m pip install larch6 "pandas<2" pydot + + - name: Install activitysim + # installing without dependencies is faster, we trust that all needed dependencies + # are in the conda environment defined above. Also, this avoids pip getting + # confused and reinstalling tables (pytables). + run: | + python -m pip install -e . --no-deps + + - name: Conda checkup + run: | + conda info -a + conda list + + - name: Create Estimation Data + run: | + python activitysim/examples/example_estimation/notebooks/est_mode_setup.py --household_sample_size 5000 + + - name: Test Estimation Notebooks + run: | + python -m pytest activitysim/examples/example_estimation/notebooks/*.ipynb \ + --nbmake-timeout=3000 \ + --ignore=activitysim/examples/example_estimation/notebooks/01_estimation_mode.ipynb + estimation_edb_creation: needs: foundation env: @@ -453,13 +502,11 @@ jobs: steps: - uses: actions/checkout@v4 - - name: Setup Mambaforge + - name: Setup Miniforge uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest activate-environment: asim-test - use-mamba: true python-version: ${{ env.python-version }} - name: Set cache date for year and month @@ -473,7 +520,7 @@ jobs: - name: Update environment run: | - mamba env update -n asim-test -f conda-environments/github-actions-tests.yml + conda env update -n asim-test -f conda-environments/github-actions-tests.yml if: steps.cache.outputs.cache-hit != 'true' - name: Install activitysim @@ -485,8 +532,8 @@ jobs: - name: Conda checkup run: | - mamba info -a - mamba list + conda info -a + conda list - name: Test Estimation EDB Creation run: | @@ -505,15 +552,13 @@ jobs: with: fetch-depth: 0 # get all tags, lets setuptools_scm do its thing - name: Set up Python 3.10 - uses: actions/setup-python@v2 + uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install dependencies uses: conda-incubator/setup-miniconda@v3 with: - miniforge-variant: Mambaforge miniforge-version: latest - use-mamba: true environment-file: conda-environments/docbuild.yml python-version: "3.10" activate-environment: docbuild diff --git a/.github/workflows/deployment.yml b/.github/workflows/deployment.yml index 2a0ef70c3..10652bba4 100644 --- a/.github/workflows/deployment.yml +++ b/.github/workflows/deployment.yml @@ -13,10 +13,10 @@ jobs: runs-on: ubuntu-latest if: github.repository == 'ActivitySim/activitysim' steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: actions/setup-python@v4 + - uses: actions/setup-python@v5 name: Install Python with: python-version: "3.10" @@ -39,7 +39,7 @@ jobs: else echo "✅ Looks good" fi - - uses: actions/upload-artifact@v3 + - uses: actions/upload-artifact@v4 with: name: releases path: dist @@ -48,11 +48,11 @@ jobs: needs: build-artifacts runs-on: ubuntu-latest steps: - - uses: actions/setup-python@v4 + - uses: actions/setup-python@v5 name: Install Python with: python-version: "3.10" - - uses: actions/download-artifact@v4.1.7 + - uses: actions/download-artifact@v4 with: name: releases path: dist @@ -84,13 +84,13 @@ jobs: run: shell: bash -l {0} steps: - - uses: actions/checkout@v3 - - uses: actions/download-artifact@v4.1.7 + - uses: actions/checkout@v4 + - uses: actions/download-artifact@v4 with: name: releases path: dist - name: Set up Python 3.10 - uses: actions/setup-python@v2 + uses: actions/setup-python@v5 with: python-version: "3.10" - name: Install dependencies @@ -132,7 +132,7 @@ jobs: if: github.event_name == 'release' runs-on: ubuntu-latest steps: - - uses: actions/download-artifact@v4.1.7 + - uses: actions/download-artifact@v4 with: name: releases path: dist diff --git a/.github/workflows/test-deploy.yml b/.github/workflows/test-deploy.yml index b4dbced25..bbcd938b3 100644 --- a/.github/workflows/test-deploy.yml +++ b/.github/workflows/test-deploy.yml @@ -12,10 +12,10 @@ jobs: build-artifacts: runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 with: fetch-depth: 0 - - uses: actions/setup-python@v4 + - uses: actions/setup-python@v5 name: Install Python with: python-version: "3.10" @@ -43,7 +43,7 @@ jobs: else echo "✅ Looks good" fi - - uses: actions/upload-artifact@v3 + - uses: actions/upload-artifact@v4 with: name: releases path: dist @@ -52,11 +52,11 @@ jobs: needs: build-artifacts runs-on: ubuntu-latest steps: - - uses: actions/setup-python@v4 + - uses: actions/setup-python@v5 name: Install Python with: python-version: "3.10" - - uses: actions/download-artifact@v4.1.7 + - uses: actions/download-artifact@v4 with: name: releases path: dist diff --git a/activitysim/abm/models/location_choice.py b/activitysim/abm/models/location_choice.py index 4d034db0f..bf36fa4cc 100644 --- a/activitysim/abm/models/location_choice.py +++ b/activitysim/abm/models/location_choice.py @@ -19,7 +19,6 @@ from activitysim.core.interaction_sample_simulate import interaction_sample_simulate from activitysim.core.util import reindex - """ The school/workplace location model predicts the zones in which various people will work or attend school. @@ -140,7 +139,7 @@ def _location_sample( sample_size = model_settings.SAMPLE_SIZE - if estimator: + if estimator and model_settings.ESTIMATION_SAMPLE_SIZE >= 0: sample_size = model_settings.ESTIMATION_SAMPLE_SIZE logger.info( f"Estimation mode for {trace_label} using sample size of {sample_size}" diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index c831faac1..30cb37e2a 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -173,7 +173,7 @@ def _destination_sample( ) sample_size = model_settings.SAMPLE_SIZE - if estimator: + if estimator and model_settings.ESTIMATION_SAMPLE_SIZE >= 0: sample_size = model_settings.ESTIMATION_SAMPLE_SIZE logger.info( f"Estimation mode for {trace_label} using sample size of {sample_size}" @@ -533,7 +533,12 @@ def choose_MAZ_for_TAZ( transpose=False, ) - if estimation.manager.enabled and (model_settings.ESTIMATION_SAMPLE_SIZE > 0): + if estimation.manager.enabled and ( + model_settings.ESTIMATION_SAMPLE_SIZE > 0 + or ( + model_settings.ESTIMATION_SAMPLE_SIZE < 0 and model_settings.SAMPLE_SIZE > 0 + ) + ): # want to ensure the override choice is in the choice set survey_choices = estimation.manager.get_survey_destination_choices( state, chooser_df, trace_label diff --git a/activitysim/abm/models/util/tour_destination.py b/activitysim/abm/models/util/tour_destination.py index 5cfb02b34..4bbcb1cff 100644 --- a/activitysim/abm/models/util/tour_destination.py +++ b/activitysim/abm/models/util/tour_destination.py @@ -9,7 +9,7 @@ from activitysim.abm.models.util import logsums as logsum from activitysim.abm.tables.size_terms import tour_destination_size_terms -from activitysim.core import estimation, config, los, simulate, tracing, workflow +from activitysim.core import config, estimation, los, simulate, tracing, workflow from activitysim.core.configuration.logit import TourLocationComponentSettings from activitysim.core.interaction_sample import interaction_sample from activitysim.core.interaction_sample_simulate import interaction_sample_simulate @@ -87,7 +87,7 @@ def _destination_sample( logger.info("running %s with %d tours", trace_label, len(choosers)) sample_size = model_settings.SAMPLE_SIZE - if estimator: + if estimator and model_settings.ESTIMATION_SAMPLE_SIZE >= 0: sample_size = model_settings.ESTIMATION_SAMPLE_SIZE logger.info( f"Estimation mode for {trace_label} using sample size of {sample_size}" @@ -457,7 +457,12 @@ def choose_MAZ_for_TAZ( transpose=False, ) - if estimation.manager.enabled and (model_settings.ESTIMATION_SAMPLE_SIZE > 0): + if estimation.manager.enabled and ( + model_settings.ESTIMATION_SAMPLE_SIZE > 0 + or ( + model_settings.ESTIMATION_SAMPLE_SIZE < 0 and model_settings.SAMPLE_SIZE > 0 + ) + ): # want to ensure the override choice is in the choice set survey_choices = estimation.manager.get_survey_destination_choices( state, chooser_df, trace_label diff --git a/activitysim/cli/run.py b/activitysim/cli/run.py index 03258be4b..f54fb3b95 100644 --- a/activitysim/cli/run.py +++ b/activitysim/cli/run.py @@ -362,7 +362,10 @@ def run(args): ] for cfg_key in np_info_keys: - info = np.__config__.get_info(cfg_key) + try: + info = np.__config__.get_info(cfg_key) + except AttributeError: + info = np.show_config("dicts").get(cfg_key, "MISSING") if info: for info_key in ["libraries"]: if info_key in info: diff --git a/activitysim/core/configuration/filesystem.py b/activitysim/core/configuration/filesystem.py index b55f0c496..ba2049e31 100644 --- a/activitysim/core/configuration/filesystem.py +++ b/activitysim/core/configuration/filesystem.py @@ -134,6 +134,18 @@ def _parse_arg(name, x): return self + def parse_settings(self, settings): + def _parse_setting(name, x): + v = getattr(settings, x, None) + if v is not None: + setattr(self, name, v) + + _parse_setting("cache_dir", "cache_dir") + _parse_setting("sharrow_cache_dir", "sharrow_cache_dir") + _parse_setting("profile_dir", "profile_dir") + _parse_setting("pipeline_file_name", "pipeline_file_name") + return + def get_working_subdir(self, subdir) -> Path: if self.working_dir: return self.working_dir.joinpath(subdir) @@ -157,7 +169,8 @@ def get_output_dir(self, subdir=None) -> Path: if subdir is not None: out = out.joinpath(subdir) if not out.exists(): - out.mkdir(parents=True) + out.mkdir(parents=True, exist_ok=True) + # we set exist_ok=True so we avoid multiprocess race conditions return out def get_output_file_path(self, file_name) -> Path: diff --git a/activitysim/core/configuration/logit.py b/activitysim/core/configuration/logit.py index 94233db26..594ecf353 100644 --- a/activitysim/core/configuration/logit.py +++ b/activitysim/core/configuration/logit.py @@ -187,13 +187,12 @@ class LocationComponentSettings(BaseLogitComponentSettings): SAMPLE_SIZE: int """This many candidate alternatives will be sampled for each choice.""" - ESTIMATION_SAMPLE_SIZE: int = 0 + ESTIMATION_SAMPLE_SIZE: int = -1 """ The number of alternatives to sample for estimation mode. - If zero, then all alternatives are used. + If zero, then all alternatives are used. If negative, then the regular + `SAMPLE_SIZE` is used. Truth alternative will be included in the sample. - Larch does not yet support sampling alternatives for estimation, - but this setting is still helpful for estimation mode runtime. """ LOGSUM_SETTINGS: Path diff --git a/activitysim/core/estimation.py b/activitysim/core/estimation.py index 143f36f62..98bbb73f7 100644 --- a/activitysim/core/estimation.py +++ b/activitysim/core/estimation.py @@ -72,19 +72,19 @@ class EstimationConfig(PydanticReadable): SKIP_BUNDLE_WRITE_FOR: list[str] = [] """List of bundle names to skip writing to disk. - This is useful for saving disk space and decreasing runtime + This is useful for saving disk space and decreasing runtime if you do not care about the estimation output for all models. """ EDB_FILETYPE: Literal["csv", "parquet", "pkl"] = "csv" - EDB_ALTS_FILE_FORMAT: Literal["verbose", "compact"] = "verbose" + EDB_ALTS_FILE_FORMAT: Literal["verbose", "compact"] = "compact" """Format of the alternatives table in the estimation data bundle. - + verbose: every possible alternative is listed in the table compact: alternatives are renumbered from 1 to sample_size """ DELETE_MP_SUBDIRS: bool = True """Flag to delete the multiprocessing subdirectories after coalescing the results. - + Typically only used for debugging purposes. """ @@ -94,7 +94,7 @@ class EstimationConfig(PydanticReadable): bundles: list[str] = [] """List of component names to create EDBs for.""" - model_estimation_table_types: dict[str, str] = {} + estimation_table_types: dict[str, str] = {} """Mapping of component names to estimation table types. The keys of this mapping are the model component names, and the values are the @@ -115,15 +115,15 @@ class EstimationConfig(PydanticReadable): survey_tables: dict[str, SurveyTableConfig] = {} - # pydantic class validator to ensure that the model_estimation_table_types + # pydantic class validator to ensure that the estimation_table_types # dictionary is a valid dictionary with string keys and string values, and # that all the values are in the estimation_table_recipes dictionary @model_validator(mode="after") - def validate_model_estimation_table_types(self): - for key, value in self.model_estimation_table_types.items(): + def validate_estimation_table_types(self): + for key, value in self.estimation_table_types.items(): if value not in self.estimation_table_recipes: raise ValueError( - f"model_estimation_table_types value '{value}' not in estimation_table_recipes" + f"estimation_table_types value '{value}' not in estimation_table_recipes" ) return self @@ -685,7 +685,24 @@ def melt_alternatives(self, df): output_format = self.settings.EDB_ALTS_FILE_FORMAT assert output_format in ["verbose", "compact"] + # original_alt_ids = None # if output_format == "compact": + # # preserve the original alt_ids in the EDB output + # original_alt_ids = melt_df[[chooser_name, alt_id_name]].drop_duplicates( + # ignore_index=True + # ) + # original_alt_ids = original_alt_ids.set_index( + # [chooser_name, alt_id_name], drop=False + # )[alt_id_name] + # original_alt_ids.index = pd.MultiIndex.from_arrays( + # [ + # original_alt_ids.index.get_level_values(0), + # original_alt_ids.groupby(level=0).cumcount(), + # ], + # names=[chooser_name, alt_id_name], + # ) + # original_alt_ids = original_alt_ids.unstack(1, fill_value=-1) + # # # renumber the alt_id column to just count from 1 to n # # this loses the alt_id information, but drops all of the empty columns # # (can still get empty columns if not every chooser has same number of alts) @@ -698,7 +715,13 @@ def melt_alternatives(self, df): [chooser_name, variable_column, alt_id_name] ).unstack(2) melt_df.columns = melt_df.columns.droplevel(0) - melt_df = melt_df.reset_index(1) + # if original_alt_ids is not None: + # original_alt_ids.index = pd.MultiIndex.from_arrays( + # [original_alt_ids.index, pd.Index(["alt_id"] * len(original_alt_ids))], + # names=melt_df.index.names, + # ) + # melt_df = pd.concat([melt_df, original_alt_ids], axis=0) + melt_df = melt_df.sort_index().reset_index(1) # person_id,expression,1,2,3,4,5,... # 31153,util_dist_0_1,0.75,0.46,0.27,0.63,0.48,... @@ -783,7 +806,7 @@ def __init__(self): self.settings_initialized = False self.bundles = [] self.estimation_table_recipes: dict[str, EstimationTableRecipeConfig] = {} - self.model_estimation_table_types: dict[str, str] = {} + self.estimation_table_types: dict[str, str] = {} self.estimating = {} self.settings = None self.enabled = False @@ -804,7 +827,7 @@ def initialize_settings(self, state): self.enabled = self.settings.enable self.bundles = self.settings.bundles - self.model_estimation_table_types = self.settings.model_estimation_table_types + self.estimation_table_types = self.settings.estimation_table_types self.estimation_table_recipes = self.settings.estimation_table_recipes if self.enabled: @@ -882,13 +905,13 @@ def begin_estimation( ), "Cant begin estimating %s - already estimating that model." % (model_name,) assert ( - bundle_name in self.model_estimation_table_types + bundle_name in self.estimation_table_types ), "No estimation_table_type for %s in %s." % ( bundle_name, ESTIMATION_SETTINGS_FILE_NAME, ) - model_estimation_table_type = self.model_estimation_table_types[bundle_name] + model_estimation_table_type = self.estimation_table_types[bundle_name] assert ( model_estimation_table_type in self.estimation_table_recipes diff --git a/activitysim/core/interaction_sample.py b/activitysim/core/interaction_sample.py index 6d80e5a8c..a43f41410 100644 --- a/activitysim/core/interaction_sample.py +++ b/activitysim/core/interaction_sample.py @@ -8,14 +8,14 @@ import pandas as pd from activitysim.core import ( - estimation, chunk, + estimation, interaction_simulate, logit, simulate, tracing, - workflow, util, + workflow, ) from activitysim.core.configuration.base import ComputeSettings from activitysim.core.skim_dataset import DatasetWrapper diff --git a/activitysim/core/mp_tasks.py b/activitysim/core/mp_tasks.py index db92be1da..7d31134bc 100644 --- a/activitysim/core/mp_tasks.py +++ b/activitysim/core/mp_tasks.py @@ -887,6 +887,7 @@ def setup_injectables_and_logging(injectables, locutor: bool = True) -> workflow state = workflow.State() state = state.initialize_filesystem(**injectables) state.settings = injectables.get("settings", Settings()) + state.filesystem.parse_settings(state.settings) # register abm steps and other abm-specific injectables # by default, assume we are running activitysim.abm diff --git a/activitysim/core/workflow/state.py b/activitysim/core/workflow/state.py index f21810bb5..dd8153460 100644 --- a/activitysim/core/workflow/state.py +++ b/activitysim/core/workflow/state.py @@ -478,15 +478,12 @@ def load_settings(self) -> State: include_stack=False, ) - # the settings can redefine the cache directories. - cache_dir = raw_settings.pop("cache_dir", None) - if cache_dir: - if self.filesystem.cache_dir != cache_dir: - logger.warning(f"settings file changes cache_dir to {cache_dir}") - self.filesystem.cache_dir = cache_dir settings_class = self.__class__.settings.member_type self.settings: Settings = settings_class.model_validate(raw_settings) + # need to parse any filesystem settings set in the settings file itself + self.filesystem.parse_settings(self.settings) + extra_settings = set(self.settings.__dict__) - set(settings_class.__fields__) if extra_settings: diff --git a/activitysim/estimation/larch/__init__.py b/activitysim/estimation/larch/__init__.py index 1d87e1ce1..76d1cb8e9 100644 --- a/activitysim/estimation/larch/__init__.py +++ b/activitysim/estimation/larch/__init__.py @@ -1,4 +1,7 @@ -import larch +from __future__ import annotations + +import larch as lx +from packaging.version import Version from .cdap import * from .data_maker import * @@ -10,6 +13,12 @@ from .simple_simulate import * from .stop_frequency import * +# require larch version 6.0.0 or later +if Version(larch.__version__) < Version("6.0.0"): + raise ImportError( + f"activitysim estimation mode requires larch version 6.0.0 or later. Found {larch.__version__}" + ) + def component_model(name, *args, **kwargs): if isinstance(name, str): @@ -25,6 +34,6 @@ def component_model(name, *args, **kwargs): models.append(model) all_data.extend(data) if all_data: - return ModelGroup(models), all_data + return lx.ModelGroup(models), all_data else: - return ModelGroup(models) + return lx.ModelGroup(models) diff --git a/activitysim/estimation/larch/auto_ownership.py b/activitysim/estimation/larch/auto_ownership.py deleted file mode 100644 index b008683be..000000000 --- a/activitysim/estimation/larch/auto_ownership.py +++ /dev/null @@ -1,80 +0,0 @@ -import os -from typing import Collection - -import numpy as np -import pandas as pd -import yaml -from larch import DataFrames, Model, P, X -from larch.util import Dict - -from .general import ( - apply_coefficients, - dict_of_linear_utility_from_spec, - remove_apostrophes, -) -from .simple_simulate import simple_simulate_data - - -def auto_ownership_model( - name="auto_ownership", - edb_directory="output/estimation_data_bundle/{name}/", - return_data=False, -): - data = simple_simulate_data( - name=name, - edb_directory=edb_directory, - values_index_col="household_id", - ) - coefficients = data.coefficients - # coef_template = data.coef_template # not used - spec = data.spec - chooser_data = data.chooser_data - settings = data.settings - - altnames = list(spec.columns[3:]) - altcodes = range(len(altnames)) - - chooser_data = remove_apostrophes(chooser_data) - chooser_data.fillna(0, inplace=True) - - # Remove choosers with invalid observed choice - chooser_data = chooser_data[chooser_data["override_choice"] >= 0] - - m = Model() - # One of the alternatives is coded as 0, so - # we need to explicitly initialize the MNL nesting graph - # and set to root_id to a value other than zero. - m.initialize_graph(alternative_codes=altcodes, root_id=99) - - m.utility_co = dict_of_linear_utility_from_spec( - spec, - "Label", - dict(zip(altnames, altcodes)), - ) - - apply_coefficients(coefficients, m) - - d = DataFrames( - co=chooser_data, - av=True, - alt_codes=altcodes, - alt_names=altnames, - ) - - m.dataservice = d - m.choice_co_code = "override_choice" - - if return_data: - return ( - m, - Dict( - edb_directory=data.edb_directory, - chooser_data=chooser_data, - coefficients=coefficients, - spec=spec, - altnames=altnames, - altcodes=altcodes, - ), - ) - - return m diff --git a/activitysim/estimation/larch/cdap.py b/activitysim/estimation/larch/cdap.py index 0f0f41218..018c6976d 100644 --- a/activitysim/estimation/larch/cdap.py +++ b/activitysim/estimation/larch/cdap.py @@ -10,16 +10,16 @@ import larch import numpy as np import pandas as pd +import xarray as xr import yaml -from larch import DataFrames, Model, P, X -from larch.log import logger_name +from larch import Dataset, Model, P, X from larch.model.model_group import ModelGroup from larch.util import Dict from ...abm.models.util import cdap from .general import apply_coefficients, explicit_value_parameters -_logger = logging.getLogger(logger_name) +_logger = logging.getLogger("larch") MAX_HHSIZE = 5 @@ -275,7 +275,7 @@ def cdap_joint_tour_utility(model, n_persons, alts, joint_coef, values): expression_value = "&".join(expression_list) # FIXME only apply to alternative if dependency satisfied - bug + raise NotImplementedError("bug") model.utility_co[anum] += X(expression_value) * P(coefficient) elif "_px" in expression: @@ -283,7 +283,7 @@ def cdap_joint_tour_utility(model, n_persons, alts, joint_coef, values): dependency_name = row.dependency.replace("x", str(pnum)) expression = row.Expression.replace("x", str(pnum)) # FIXME only apply to alternative if dependency satisfied - bug + raise NotImplementedError("bug") model.utility_co[anum] += X(expression) * P(coefficient) else: @@ -329,18 +329,29 @@ def cdap_split_data(households, values, add_joint): return cdap_data -def cdap_dataframes(households, values, add_joint): +def cdap_dataframes(households, values, add_joint) -> dict[int, Dataset]: data = cdap_split_data(households, values, add_joint) dfs = {} for hhsize in data.keys(): alts = generate_alternatives(hhsize, add_joint) - dfs[hhsize] = DataFrames( - co=data[hhsize], - alt_names=alts.keys(), - alt_codes=alts.values(), - av=1, - ch=data[hhsize].override_choice.map(alts), + dfs[hhsize] = Dataset.construct.from_idco( + data[hhsize], + alts=dict(zip(alts.values(), alts.keys())), ) + # convert override_choice to alternative code from alternative name + dfs[hhsize]["override_choice"] = xr.DataArray( + np.vectorize(alts.get)(dfs[hhsize].override_choice.data), + coords=dfs[hhsize].override_choice.coords, + dims=dfs[hhsize].override_choice.dims, + name="override_choice", + ) + # dfs[hhsize] = DataFrames( + # co=data[hhsize], + # alt_names=alts.keys(), + # alt_codes=alts.values(), + # av=1, + # ch=data[hhsize].override_choice.map(alts), + # ) return dfs @@ -388,11 +399,18 @@ def cdap_data( raise FileNotFoundError(edb_directory) def read_csv(filename, **kwargs): - filename = filename.format(name=name) - return pd.read_csv(os.path.join(edb_directory, filename), **kwargs) + filename = Path(edb_directory).joinpath(filename.format(name=name)).resolve() + if filename.with_suffix(".parquet").exists(): + if "comment" in kwargs: + del kwargs["comment"] + print(f"Reading {filename.with_suffix('.parquet')}") + return pd.read_parquet(filename.with_suffix(".parquet"), **kwargs) + print(f"Reading {filename}") + return pd.read_csv(filename, **kwargs) def read_yaml(filename, **kwargs): filename = filename.format(name=name) + print(f"Reading {os.path.join(edb_directory, filename)}") with open(os.path.join(edb_directory, filename), "rt") as f: return yaml.load(f, Loader=yaml.SafeLoader, **kwargs) @@ -436,7 +454,7 @@ def read_yaml(filename, **kwargs): except FileNotFoundError: joint_coef = None add_joint = False - print("Including joint tour utiltiy?:", add_joint) + print("Including joint tour utility?:", add_joint) spec1 = read_csv(spec1_file, comment="#") values = read_csv(chooser_data_file, comment="#") @@ -497,9 +515,9 @@ def cdap_model( cdap_dfs = cdap_dataframes(households, values, add_joint) m = {} _logger.info(f"building for model 1") - m[1] = Model(dataservice=cdap_dfs[1]) + m[1] = Model(datatree=cdap_dfs[1], compute_engine="numba") cdap_base_utility_by_person(m[1], n_persons=1, spec=spec1) - m[1].choice_any = True + m[1].choice_co_code = "override_choice" m[1].availability_any = True # Add cardinality into interaction_coef if not present @@ -510,13 +528,13 @@ def cdap_model( for s in range(2, MAX_HHSIZE + 1): # for s in [2, 3, 4, 5]: _logger.info(f"building for model {s}") - m[s] = Model(dataservice=cdap_dfs[s]) + m[s] = Model(datatree=cdap_dfs[s]) alts = generate_alternatives(s, add_joint) cdap_base_utility_by_person(m[s], s, spec1, alts, values.columns) cdap_interaction_utility(m[s], s, alts, interaction_coef, coefficients) # if add_joint: # cdap_joint_tour_utility(m[s], s, alts, d.joint_coef, values) - m[s].choice_any = True + m[s].choice_co_code = "override_choice" m[s].availability_any = True model = ModelGroup(m.values()) diff --git a/activitysim/estimation/larch/general.py b/activitysim/estimation/larch/general.py index 4e4fc3adf..19fb76e18 100644 --- a/activitysim/estimation/larch/general.py +++ b/activitysim/estimation/larch/general.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import logging import os from pathlib import Path @@ -5,13 +7,14 @@ import numpy as np import pandas as pd -from larch import DataFrames, Model, P, X # noqa: F401 -from larch.log import logger_name -from larch.model.abstract_model import AbstractChoiceModel +from larch import Model, P, X # noqa: F401 + +# from larch.log import logger_name +# from larch.model.abstract_model import AbstractChoiceModel from larch.model.tree import NestingTree from larch.util import Dict # noqa: F401 -_logger = logging.getLogger(logger_name) +_logger = logging.getLogger("larch") def cv_to_ca(alt_values, dtype="float64", required_labels=None): @@ -67,7 +70,12 @@ def cv_to_ca(alt_values, dtype="float64", required_labels=None): x_ca_tall = x_ca_tall.astype(dtype) # Unstack the variables dimension - x_ca = x_ca_tall.unstack(1) + x_ca = ( + x_ca_tall.reset_index() + .drop_duplicates() + .set_index(x_ca_tall.index.names) + .unstack(1) + ) # Code above added a dummy top level to columns, remove it here. x_ca.columns = x_ca.columns.droplevel(0) @@ -104,7 +112,9 @@ def str_repr(x): return x -def linear_utility_from_spec(spec, x_col, p_col, ignore_x=(), segment_id=None): +def linear_utility_from_spec( + spec, x_col, p_col, ignore_x=(), segment_id=None, x_validator=None, expr_col=None +): """ Create a linear function from a spec DataFrame. @@ -129,6 +139,13 @@ def linear_utility_from_spec(spec, x_col, p_col, ignore_x=(), segment_id=None): The CHOOSER_SEGMENT_COLUMN_NAME identified for ActivitySim. This value is ignored if `p_col` is a string, and required if `p_col` is a dict. + x_validator : Container, optional + A container of valid values for the x_col. If given, the + x_col values will be used if they are `in` the x_validator, + otherwise the value from `expr_col` will be used. + expr_col : str, optional + The name of the column to use when the x_col value is not + in the x_validator. Returns ------- @@ -144,6 +161,8 @@ def linear_utility_from_spec(spec, x_col, p_col, ignore_x=(), segment_id=None): x_col, seg_p_col, ignore_x, + x_validator=x_validator, + expr_col=expr_col, ) * X(f"{segment_id}=={str_repr(segval)}") return sum(partial_utility.values()) parts = [] @@ -156,6 +175,16 @@ def linear_utility_from_spec(spec, x_col, p_col, ignore_x=(), segment_id=None): _x = None else: raise + + # when a validator is given, use the expression column if the original + # x value is not in the validator + if _x is not None and _x not in ignore_x: + if x_validator is not None and _x not in x_validator: + _x = spec.loc[i, expr_col] + if _x.startswith("@"): + _x = _x[1:] + + # handle the parameter... _p = spec.loc[i, p_col] if _x is not None and (_x not in ignore_x) and not pd.isna(_p): @@ -194,7 +223,9 @@ def linear_utility_from_spec(spec, x_col, p_col, ignore_x=(), segment_id=None): return sum(parts) -def dict_of_linear_utility_from_spec(spec, x_col, p_col, ignore_x=()): +def dict_of_linear_utility_from_spec( + spec, x_col, p_col, ignore_x=(), x_validator=None, expr_col=None +): """ Create a linear function from a spec DataFrame. @@ -216,6 +247,13 @@ def dict_of_linear_utility_from_spec(spec, x_col, p_col, ignore_x=()): The CHOOSER_SEGMENT_COLUMN_NAME identified for ActivitySim. This value is ignored if `p_col` is a string, and required if `p_col` is a dict. + x_validator : Container, optional + A container of valid values for the x_col. If given, the + x_col values will be used if they are `in` the x_validator, + otherwise the value from `expr_col` will be used. + expr_col : str, optional + The name of the column to use when the x_col value is not + in the x_validator. Returns ------- @@ -224,7 +262,12 @@ def dict_of_linear_utility_from_spec(spec, x_col, p_col, ignore_x=()): utils = {} for altname, altcode in p_col.items(): utils[altcode] = linear_utility_from_spec( - spec, x_col, altname, ignore_x=ignore_x + spec, + x_col, + altname, + ignore_x=ignore_x, + x_validator=x_validator, + expr_col=expr_col, ) return utils @@ -288,15 +331,7 @@ def explicit_value_parameters(model): except Exception: pass else: - model.set_value( - i, - value=j, - initvalue=j, - nullvalue=j, - minimum=j, - maximum=j, - holdfast=True, - ) + model.lock_value(i, value=j) def apply_coefficients(coefficients, model, minimum=None, maximum=None): @@ -326,25 +361,22 @@ def apply_coefficients(coefficients, model, minimum=None, maximum=None): ) coefficients["constrain"] = "F" assert coefficients.index.name == "coefficient_name" - assert isinstance(model, AbstractChoiceModel) + # assert isinstance(model, AbstractChoiceModel) explicit_value_parameters(model) for i in coefficients.itertuples(): - if i.Index in model: + if i.Index in model.pnames: holdfast = i.constrain == "T" if holdfast: - minimum_ = i.value - maximum_ = i.value + model.lock_value(i.Index, value=i.value) else: - minimum_ = minimum - maximum_ = maximum - model.set_value( - i.Index, - value=i.value, - initvalue=i.value, - holdfast=holdfast, - minimum=minimum_, - maximum=maximum_, - ) + model.set_value( + i.Index, + value=i.value, + initvalue=i.value, + holdfast=holdfast, + minimum=minimum, + maximum=maximum, + ) def apply_coef_template(linear_utility, template_col, condition=None): @@ -419,7 +451,8 @@ def make_nest(cfg, parent_code=0): else: make_nest(a, parent_code=nest_names_to_codes[cfg["name"]]) - make_nest(nesting_settings) + if nesting_settings: + make_nest(nesting_settings) return tree diff --git a/activitysim/estimation/larch/location_choice.py b/activitysim/estimation/larch/location_choice.py index dca1e9ea4..7d797a754 100644 --- a/activitysim/estimation/larch/location_choice.py +++ b/activitysim/estimation/larch/location_choice.py @@ -1,15 +1,17 @@ from __future__ import annotations +import collections import os -from pathlib import Path -from typing import Collection import pickle +import warnings from datetime import datetime +from pathlib import Path +from typing import Collection import numpy as np import pandas as pd import yaml -from larch import DataFrames, Model, P, X +from larch import Dataset, Model, P, X from larch.util import Dict from .general import ( @@ -37,6 +39,23 @@ def size_coefficients_from_spec(size_spec): return size_coef +LocationChoiceData = collections.namedtuple( + "LocationChoiceData", + field_names=[ + "edb_directory", + "alt_values", + "chooser_data", + "coefficients", + "landuse", + "spec", + "size_spec", + "master_size_spec", + "model_selector", + "settings", + ], +) + + def location_choice_model( name="workplace_location", edb_directory="output/estimation_data_bundle/{name}/", @@ -50,7 +69,9 @@ def location_choice_model( return_data=False, alt_values_to_feather=False, chunking_size=None, -): + *, + alts_in_cv_format=False, +) -> Model | tuple[Model, LocationChoiceData]: model_selector = name.replace("_location", "") model_selector = model_selector.replace("_destination", "") model_selector = model_selector.replace("_subtour", "") @@ -60,8 +81,12 @@ def location_choice_model( edb_directory = edb_directory.format(name=name) def _read_csv(filename, **kwargs): - filename = filename.format(name=name) - return pd.read_csv(os.path.join(edb_directory, filename), **kwargs) + filename = Path(edb_directory).joinpath(filename.format(name=name)) + if filename.with_suffix(".parquet").exists(): + print("loading from", filename.with_suffix(".parquet")) + return pd.read_parquet(filename.with_suffix(".parquet"), **kwargs) + print("loading from", filename) + return pd.read_csv(filename, **kwargs) def _read_feather(filename, **kwargs): filename = filename.format(name=name) @@ -179,7 +204,10 @@ def _file_exists(filename): if label_column_name == "Expression": spec.insert(0, "Label", spec["Expression"].map(expression_labels)) - alt_values["variable"] = alt_values["variable"].map(expression_labels) + if alts_in_cv_format: + alt_values["variable"] = alt_values["variable"].map(expression_labels) + else: + alt_values = alt_values.rename(columns=expression_labels) label_column_name = "Label" if name == "trip_destination": @@ -194,44 +222,58 @@ def split(a, n): k, m = divmod(len(a), n) return (a[i * k + min(i, m) : (i + 1) * k + min(i + 1, m)] for i in range(n)) - # process x_ca with cv_to_ca with or without chunking - x_ca_pickle_file = "{name}_x_ca.pkl" - if chunking_size == None: - x_ca = cv_to_ca( - alt_values.set_index([chooser_index_name, alt_values.columns[1]]) - ) - elif _file_exists(x_ca_pickle_file): - # if pickle file from previous x_ca processing exist, load it to save time - time_start = datetime.now() - x_ca = _read_pickle(x_ca_pickle_file) - print( - f"x_ca data loaded from {name}_x_ca.fea - time elapsed {(datetime.now() - time_start).total_seconds()}" - ) - else: - time_start = datetime.now() - # calculate num_chunks based on chunking_size (or max number of rows per chunk) - num_chunks = int(len(alt_values) / chunking_size) - id_col_name = alt_values.columns[0] - all_ids = list(alt_values[id_col_name].unique()) - split_ids = list(split(all_ids, num_chunks)) - x_ca_list = [] - i = 0 - for chunk_ids in split_ids: - alt_values_i = alt_values[alt_values[id_col_name].isin(chunk_ids)] - x_ca_i = cv_to_ca( - alt_values_i.set_index([chooser_index_name, alt_values_i.columns[1]]) + if alts_in_cv_format: + # if alternatives are in CV format, convert them to CA format. + # The CV format has the chooser index as the first column and the variable name + # as the second column, with values for each alternative in the remaining columns. + # This format is inefficient and deprecated as of ActivitySim version 1.4. + + # process x_ca with cv_to_ca with or without chunking + x_ca_pickle_file = "{name}_x_ca.pkl" + if chunking_size == None: + x_ca = cv_to_ca( + alt_values.set_index([chooser_index_name, alt_values.columns[1]]) ) - x_ca_list.append(x_ca_i) + elif _file_exists(x_ca_pickle_file): + # if pickle file from previous x_ca processing exist, load it to save time + time_start = datetime.now() + x_ca = _read_pickle(x_ca_pickle_file) print( - f"\rx_ca_i compute done for chunk {i}/{num_chunks} - time elapsed {(datetime.now() - time_start).total_seconds()}" + f"x_ca data loaded from {name}_x_ca.fea - time elapsed {(datetime.now() - time_start).total_seconds()}" ) - i = i + 1 - x_ca = pd.concat(x_ca_list, axis=0) - # save final x_ca result as pickle file to save time for future data loading - _to_pickle(df=x_ca, filename=x_ca_pickle_file) - print( - f"x_ca compute done - time elapsed {(datetime.now() - time_start).total_seconds()}" - ) + else: + time_start = datetime.now() + # calculate num_chunks based on chunking_size (or max number of rows per chunk) + num_chunks = int(len(alt_values) / chunking_size) + id_col_name = alt_values.columns[0] + all_ids = list(alt_values[id_col_name].unique()) + split_ids = list(split(all_ids, num_chunks)) + x_ca_list = [] + i = 0 + for chunk_ids in split_ids: + alt_values_i = alt_values[alt_values[id_col_name].isin(chunk_ids)] + x_ca_i = cv_to_ca( + alt_values_i.set_index( + [chooser_index_name, alt_values_i.columns[1]] + ) + ) + x_ca_list.append(x_ca_i) + print( + f"\rx_ca_i compute done for chunk {i}/{num_chunks} - time elapsed {(datetime.now() - time_start).total_seconds()}" + ) + i = i + 1 + x_ca = pd.concat(x_ca_list, axis=0) + # save final x_ca result as pickle file to save time for future data loading + _to_pickle(df=x_ca, filename=x_ca_pickle_file) + print( + f"x_ca compute done - time elapsed {(datetime.now() - time_start).total_seconds()}" + ) + else: + # otherwise, we assume that the alternatives are already in the correct IDCA format with + # the cases and alternatives as the first two columns, and the variables as the + # remaining columns. This is a much more efficient format for the data. + assert alt_values.columns[0] == chooser_index_name + x_ca = alt_values.set_index([chooser_index_name, alt_values.columns[1]]) if CHOOSER_SEGMENT_COLUMN_NAME is not None: # label segments with names @@ -263,23 +305,39 @@ def split(a, n): # Remove choosers with invalid observed choice (appropriate total size value = 0) valid_observed_zone = x_co["total_size_segment"] > 0 + prior_n_cases = len(x_co) x_co = x_co[valid_observed_zone] x_ca = x_ca[x_ca.index.get_level_values(chooser_index_name).isin(x_co.index)] + after_n_cases = len(x_co) + if prior_n_cases != after_n_cases: + warnings.warn( + f"Removed {prior_n_cases - after_n_cases} choosers with invalid (zero-sized) observed choice", + stacklevel=2, + ) # Merge land use characteristics into CA data - try: - x_ca_1 = pd.merge(x_ca, landuse, on="zone_id", how="left") - except KeyError: - # Missing the zone_id variable? - # Use the alternative id's instead, which assumes no sampling of alternatives - x_ca_1 = pd.merge( - x_ca, - landuse, - left_on=x_ca.index.get_level_values(1), - right_index=True, - how="left", - ) - x_ca_1.index = x_ca.index + x_ca_1 = pd.merge( + x_ca, landuse, left_on=x_ca.index.get_level_values(1), right_index=True + ) + x_ca_1 = x_ca_1.sort_index() + + # relabel zones to reduce memory usage. + # We will core the original zone ids in a new column _original_zone_id, + # and create a new index with a dummy zone id. This way, if we have sampled + # only a subset of 30 zones, then we only need 30 unique alternatives in the + # data structure. + original_zone_ids = x_ca_1.index.get_level_values(1) + + dummy_zone_ids_index = pd.MultiIndex.from_arrays( + [ + x_ca_1.index.get_level_values(0), + x_ca_1.groupby(level=0).cumcount() + 1, + ], + names=[x_ca_1.index.names[0], "dummy_zone_id"], + ) + x_ca_1.index = dummy_zone_ids_index + x_ca_1["_original_zone_id"] = original_zone_ids + choice_def = {"choice_ca_var": "override_choice == _original_zone_id"} # Availability of choice zones if "util_no_attractions" in x_ca_1: @@ -287,22 +345,44 @@ def split(a, n): x_ca_1["util_no_attractions"] .apply(lambda x: False if x == 1 else True) .astype(np.int8) + .to_xarray() ) elif "@df['size_term']==0" in x_ca_1: av = ( x_ca_1["@df['size_term']==0"] .apply(lambda x: False if x == 1 else True) .astype(np.int8) + .to_xarray() + ) + elif expression_labels is not None and "@df['size_term']==0" in expression_labels: + av = ( + x_ca_1[expression_labels["@df['size_term']==0"]] + .apply(lambda x: False if x == 1 else True) + .astype(np.int8) + .to_xarray() ) else: - av = 1 + av = None assert len(x_co) > 0, "Empty chooser dataframe" assert len(x_ca_1) > 0, "Empty alternatives dataframe" - d = DataFrames(co=x_co, ca=x_ca_1, av=av) + d_ca = Dataset.construct.from_idca(x_ca_1) + d_co = Dataset.construct.from_idco(x_co) + d = d_ca.merge(d_co) + if av is not None: + d["_avail_"] = av + + m = Model(datatree=d, compute_engine="numba") + + # One of the alternatives might be coded as 0, so + # we need to explicitly initialize the MNL nesting graph + # and set to root_id to a value other than zero. + root_id = 0 + if root_id in d.dc.altids(): + root_id = -1 + m.initialize_graph(alternative_codes=d.dc.altids(), root_id=root_id) - m = Model(dataservice=d) if len(spec.columns) == 4 and all( spec.columns == ["Label", "Description", "Expression", "coefficient"] ): @@ -311,6 +391,8 @@ def split(a, n): x_col="Label", p_col=spec.columns[-1], ignore_x=("local_dist",), + x_validator=d, + expr_col="Expression", ) elif ( len(spec.columns) == 4 @@ -323,6 +405,8 @@ def split(a, n): x_col="Label", p_col=spec.columns[-1], ignore_x=("local_dist",), + x_validator=d, + expr_col="Expression", ) else: m.utility_ca = linear_utility_from_spec( @@ -331,6 +415,8 @@ def split(a, n): p_col=SEGMENT_IDS, ignore_x=("local_dist",), segment_id=CHOOSER_SEGMENT_COLUMN_NAME, + x_validator=d, + expr_col="Expression", ) if CHOOSER_SEGMENT_COLUMN_NAME is None: @@ -354,12 +440,16 @@ def split(a, n): apply_coefficients(coefficients, m, minimum=-25, maximum=25) apply_coefficients(size_coef, m, minimum=-6, maximum=6) - m.choice_co_code = "override_choice" + m.choice_def(choice_def) + if av is not None: + m.availability_ca_var = "_avail_" + else: + m.availability_any = True if return_data: return ( m, - Dict( + LocationChoiceData( edb_directory=Path(edb_directory), alt_values=alt_values, chooser_data=chooser_data, diff --git a/activitysim/estimation/larch/mode_choice.py b/activitysim/estimation/larch/mode_choice.py index a790075e1..5e15fd0e0 100644 --- a/activitysim/estimation/larch/mode_choice.py +++ b/activitysim/estimation/larch/mode_choice.py @@ -1,11 +1,14 @@ +from __future__ import annotations + import os from pathlib import Path from typing import Collection import numpy as np import pandas as pd +import xarray as xr import yaml -from larch import DataFrames, Model, P, X +from larch import Dataset, Model, P, X from larch.util import Dict from .general import ( @@ -54,7 +57,10 @@ def mode_choice_model( purposes.remove("atwork") # Setup purpose specific models - m = {purpose: Model(graph=tree, title=purpose) for purpose in purposes} + m = { + purpose: Model(graph=tree, title=purpose, compute_engine="numba") + for purpose in purposes + } for alt_code, alt_name in tree.elemental_names().items(): # Read in base utility function for this alt_name u = linear_utility_from_spec( @@ -73,31 +79,32 @@ def mode_choice_model( for model in m.values(): explicit_value_parameters(model) + model.availability_ca_var = "_avail_" apply_coefficients(coefficients, m) avail = construct_availability( m[purposes[0]], chooser_data, data.alt_codes_to_names ) - d = DataFrames( - co=chooser_data, - av=avail, - alt_codes=data.alt_codes, - alt_names=data.alt_names, + d = Dataset.construct.from_idco( + chooser_data, alts=dict(zip(data.alt_codes, data.alt_names)) ) + d["_avail_"] = xr.DataArray(avail, dims=(d.dc.CASEID, d.dc.ALTID)) if "atwork" not in name: for purpose, model in m.items(): - model.dataservice = d.selector_co(f"tour_type=='{purpose}'") + model.datatree = d.dc.query_cases(f"tour_type=='{purpose}'") model.choice_co_code = "override_choice_code" else: for purpose, model in m.items(): - model.dataservice = d + model.datatree = d model.choice_co_code = "override_choice_code" from larch.model.model_group import ModelGroup mg = ModelGroup(m.values()) + explicit_value_parameters(mg) + apply_coefficients(coefficients, mg) if return_data: return ( diff --git a/activitysim/estimation/larch/nonmand_tour_freq.py b/activitysim/estimation/larch/nonmand_tour_freq.py index c0db830e2..ff6835c41 100644 --- a/activitysim/estimation/larch/nonmand_tour_freq.py +++ b/activitysim/estimation/larch/nonmand_tour_freq.py @@ -1,14 +1,16 @@ +from __future__ import annotations + +import glob import logging import os +import pickle +from datetime import datetime from pathlib import Path import pandas as pd import yaml -from larch import DataFrames, Model -from larch.log import logger_name +from larch import Dataset, Model from larch.util import Dict -import pickle -from datetime import datetime from .general import ( apply_coefficients, @@ -17,7 +19,7 @@ remove_apostrophes, ) -_logger = logging.getLogger(logger_name) +_logger = logging.getLogger("larch") def interaction_simulate_data( @@ -29,16 +31,47 @@ def interaction_simulate_data( coefficients_files="{segment_name}/{name}_coefficients_{segment_name}.csv", chooser_data_files="{segment_name}/{name}_choosers_combined.csv", alt_values_files="{segment_name}/{name}_interaction_expression_values.csv", - segment_subset=[], + segment_subset=(), ): edb_directory = edb_directory.format(name=name) def _read_csv(filename, **kwargs): - filename = filename.format(name=name) - return pd.read_csv(os.path.join(edb_directory, filename), **kwargs) + filename = Path(edb_directory).joinpath(filename.format(name=name)) + if filename.with_suffix(".parquet").exists(): + print("loading from", filename.with_suffix(".parquet")) + if "comment" in kwargs: + kwargs.pop("comment") + return pd.read_parquet(filename.with_suffix(".parquet"), **kwargs) + if filename.exists(): + print("loading from", filename) + return pd.read_csv(filename, **kwargs) + # if the file does not exist, try to load parquet from a subdirectory + search_glob = os.path.join( + edb_directory, "*", filename.with_suffix(".parquet").name + ) + files = glob.glob(search_glob) + if files: + print("loading from", files[0]) + return pd.read_parquet(files[0], **kwargs) + # otherwise try to load csv from a subdirectory + search_glob = os.path.join(edb_directory, "*", filename.name) + files = glob.glob(search_glob) + if files: + print("loading from", files[0]) + return pd.read_csv(files[0], **kwargs) + raise FileNotFoundError(f"File {filename} not found") settings_file = settings_file.format(name=name) - with open(os.path.join(edb_directory, settings_file), "r") as yf: + settings_file_resolved = os.path.join(edb_directory, settings_file) + if not os.path.exists(settings_file_resolved): + search_glob = os.path.join(edb_directory, "*", settings_file) + settings_files = glob.glob(search_glob) + if not settings_files: + raise FileNotFoundError(f"Settings file {settings_file} not found") + else: + settings_file_resolved = settings_files[0] + + with open(settings_file_resolved) as yf: settings = yaml.load( yf, Loader=yaml.SafeLoader, @@ -113,7 +146,7 @@ def link_same_value_coefficients(segment_names, coefficients, spec): def unavail_parameters(model): - return model.pf.index[(model.pf.value < -900) & (model.pf.holdfast != 0)] + return model.pnames[(model.pvals < -900) & (model.pholdfast != 0)] def unavail_data_cols(model): @@ -202,8 +235,10 @@ def nonmand_tour_freq_model( edb_directory="output/estimation_data_bundle/{name}/", return_data=False, condense_parameters=False, - segment_subset=[], + segment_subset=(), num_chunks=1, + *, + alts_in_cv_format=False, ): """ Prepare nonmandatory tour frequency models for estimation. @@ -243,10 +278,13 @@ def nonmand_tour_freq_model( alt_values = data.alt_values alt_def = data.alt_def + # deduplicate rows in alt_def + alt_def = alt_def[~alt_def.index.duplicated(keep="first")] + m = {} for segment_name in segment_names: print(f"Creating larch model for {segment_name}") - segment_model = m[segment_name] = Model() + segment_model = m[segment_name] = Model(compute_engine="numba") # One of the alternatives is coded as 0, so # we need to explicitly initialize the MNL nesting graph # and set to root_id to a value other than zero. @@ -267,21 +305,29 @@ def nonmand_tour_freq_model( .set_index("person_id") .rename(columns={"TAZ": "HOMETAZ"}) ) - print("\t performing cv to ca step") - # x_ca = cv_to_ca(alt_values[segment_name].set_index(["person_id", "variable"])) - x_ca = get_x_ca_df( - alt_values=alt_values[segment_name].set_index(["person_id", "variable"]), - name=segment_name, - edb_directory=edb_directory.format(name="non_mandatory_tour_frequency"), - num_chunks=num_chunks, - ) + if alts_in_cv_format: + print("\t performing cv to ca step") + x_ca = get_x_ca_df( + alt_values=alt_values[segment_name].set_index( + ["person_id", "variable"] + ), + name=segment_name, + edb_directory=edb_directory.format(name="non_mandatory_tour_frequency"), + num_chunks=num_chunks, + ) + else: + x_ca = alt_values[segment_name].set_index(["person_id", "alt_id"]) - d = DataFrames( - co=x_co, - ca=x_ca, - av=~unavail(segment_model, x_ca), + d_co = Dataset.construct.from_idco( + x_co, + alts=alt_def.index.rename("alt_id"), ) - m[segment_name].dataservice = d + x_ca["_avail_"] = ~unavail(segment_model, x_ca) + # we set crack to False here so that we do not dissolve zero variance IDCAs + d_ca = Dataset.construct.from_idca(x_ca, crack=False) + d = d_ca.merge(d_co) + m[segment_name].datatree = d + m[segment_name].availability_ca_var = "_avail_" if return_data: return m, data diff --git a/activitysim/estimation/larch/scheduling.py b/activitysim/estimation/larch/scheduling.py index ea2aef1b2..74d87e8af 100644 --- a/activitysim/estimation/larch/scheduling.py +++ b/activitysim/estimation/larch/scheduling.py @@ -1,3 +1,5 @@ +from __future__ import annotations + import os from pathlib import Path from typing import Collection @@ -5,7 +7,7 @@ import numpy as np import pandas as pd import yaml -from larch import DataFrames, Model, P, X +from larch import Dataset, Model, P, X from larch.util import Dict from .general import ( @@ -28,6 +30,8 @@ def schedule_choice_model( chooser_file="{name}_choosers_combined.csv", settings_file="{name}_model_settings.yaml", return_data=False, + *, + alts_in_cv_format=False, ): model_selector = name.replace("_location", "") model_selector = model_selector.replace("_destination", "") @@ -36,14 +40,16 @@ def schedule_choice_model( edb_directory = edb_directory.format(name=name) def _read_csv(filename, optional=False, **kwargs): - filename = filename.format(name=name) - try: - return pd.read_csv(os.path.join(edb_directory, filename), **kwargs) - except FileNotFoundError: - if optional: - return None - else: - raise + filename = Path(edb_directory).joinpath(filename.format(name=name)) + if filename.with_suffix(".parquet").exists(): + print("loading from", filename.with_suffix(".parquet")) + return pd.read_parquet(filename.with_suffix(".parquet"), **kwargs) + if filename.exists(): + print("loading from", filename) + return pd.read_csv(filename, **kwargs) + if optional: + return None + raise FileNotFoundError(filename) settings_file = settings_file.format(name=name) with open(os.path.join(edb_directory, settings_file), "r") as yf: @@ -96,7 +102,7 @@ def _read_csv(filename, optional=False, **kwargs): else: raise ValueError("cannot find Label or Expression in spec file") - m = Model() + m = Model(compute_engine="numba") if len(spec.columns) == 4 and ( [c.lower() for c in spec.columns] == ["label", "description", "expression", "coefficient"] @@ -131,12 +137,16 @@ def _read_csv(filename, optional=False, **kwargs): apply_coefficients(coefficients, m, minimum=-25, maximum=25) chooser_index_name = chooser_data.columns[0] - x_co = chooser_data.set_index(chooser_index_name) + x_co = chooser_data.set_index(chooser_index_name).dropna(axis=1, how="all") alt_values.fillna(0, inplace=True) - x_ca = cv_to_ca( - alt_values.set_index([chooser_index_name, alt_values.columns[1]]), - required_labels=spec[label_column_name], - ) + if alts_in_cv_format: + x_ca = cv_to_ca( + alt_values.set_index([chooser_index_name, alt_values.columns[1]]), + required_labels=spec[label_column_name], + ) + else: + # the alternative code is "tdd" + x_ca = alt_values.set_index([chooser_index_name, "tdd"]) # if CHOOSER_SEGMENT_COLUMN_NAME is not None: # # label segments with names @@ -148,22 +158,36 @@ def _read_csv(filename, optional=False, **kwargs): # x_co["_segment_label"] = size_spec.index[0] alt_codes = np.arange(len(x_ca.index.levels[1])) + 1 - x_ca.index = x_ca.index.set_levels(alt_codes, 1) + x_ca.index = x_ca.index.set_levels(alt_codes, level=1) x_co["override_choice_plus1"] = x_co["override_choice"] + 1 x_co["model_choice_plus1"] = x_co["model_choice"] + 1 unavail_coefs = coefficients.query("(constrain == 'T') & (value < -900)").index unavail_data = [i.data for i in m.utility_ca if i.param in unavail_coefs] - if len(unavail_data): + + if "mode_choice_logsum" in x_ca and not len(unavail_data): + joint_avail = "~(mode_choice_logsum_missing)" + elif len(unavail_data): joint_unavail = "|".join(f"({i}>0)" for i in unavail_data) joint_avail = f"~({joint_unavail})" else: - joint_avail = 1 - - d = DataFrames(co=x_co, ca=x_ca, av=joint_avail) - m.dataservice = d + joint_avail = None + + # d = DataFrames(co=x_co, ca=x_ca, av=joint_avail) # larch 5.7 + d_ca = Dataset.construct.from_idca(x_ca) + if joint_avail == "~(mode_choice_logsum_missing)": + tmp = np.isnan(d_ca["mode_choice_logsum"]) + tmp = tmp.drop_vars(tmp.coords) + d_ca = d_ca.assign(mode_choice_logsum_missing=tmp) + d_co = Dataset.construct.from_idco(x_co) + d = d_ca.merge(d_co) + # if joint_avail is not None: + # d["_avail_"] = joint_avail + + m.datatree = d m.choice_co_code = "override_choice_plus1" - # m.choice_co_code = "model_choice_plus1" + if joint_avail is not None: + m.availability_ca_var = joint_avail if return_data: return ( @@ -216,38 +240,53 @@ def construct_availability_ca(model, chooser_data, alt_codes_to_names): return avail -def mandatory_tour_scheduling_work_model(return_data=False): +def mandatory_tour_scheduling_work_model( + edb_directory="output/estimation_data_bundle/{name}/", return_data=False +): return schedule_choice_model( name="mandatory_tour_scheduling_work", + edb_directory=edb_directory, return_data=return_data, coefficients_file="tour_scheduling_work_coefficients.csv", ) -def mandatory_tour_scheduling_school_model(return_data=False): +def mandatory_tour_scheduling_school_model( + edb_directory="output/estimation_data_bundle/{name}/", return_data=False +): return schedule_choice_model( name="mandatory_tour_scheduling_school", + edb_directory=edb_directory, return_data=return_data, coefficients_file="tour_scheduling_school_coefficients.csv", ) -def non_mandatory_tour_scheduling_model(return_data=False): +def non_mandatory_tour_scheduling_model( + edb_directory="output/estimation_data_bundle/{name}/", return_data=False +): return schedule_choice_model( name="non_mandatory_tour_scheduling", + edb_directory=edb_directory, return_data=return_data, ) -def joint_tour_scheduling_model(return_data=False): +def joint_tour_scheduling_model( + edb_directory="output/estimation_data_bundle/{name}/", return_data=False +): return schedule_choice_model( name="joint_tour_scheduling", + edb_directory=edb_directory, return_data=return_data, ) -def atwork_subtour_scheduling_model(return_data=False): +def atwork_subtour_scheduling_model( + edb_directory="output/estimation_data_bundle/{name}/", return_data=False +): return schedule_choice_model( name="atwork_subtour_scheduling", + edb_directory=edb_directory, return_data=return_data, ) diff --git a/activitysim/estimation/larch/simple_simulate.py b/activitysim/estimation/larch/simple_simulate.py index e7c5d07cd..f75d9642c 100644 --- a/activitysim/estimation/larch/simple_simulate.py +++ b/activitysim/estimation/larch/simple_simulate.py @@ -1,10 +1,14 @@ +from __future__ import annotations + +import collections import os from pathlib import Path +import larch import numpy as np import pandas as pd import yaml -from larch import DataFrames, Model +from larch import Model from larch.util import Dict from .general import ( @@ -30,7 +34,7 @@ def construct_availability(model, chooser_data, alt_codes_to_names): pandas.DataFrame """ avail = {} - for acode, aname in alt_codes_to_names.items(): + for acode, _aname in alt_codes_to_names.items(): unavail_cols = list( ( chooser_data[i.data] @@ -49,6 +53,37 @@ def construct_availability(model, chooser_data, alt_codes_to_names): return avail +SimpleSimulateData = collections.namedtuple( + "SimpleSimulateData", + field_names=[ + "edb_directory", + "settings", + "chooser_data", + "coefficients", + "coef_template", + "spec", + "alt_names", + "alt_codes", + "alt_names_to_codes", + "alt_codes_to_names", + ], +) + + +def read_spec(filename: str | os.PathLike) -> pd.DataFrame: + """Read a simple simulate spec file""" + print("loading spec from", filename) + spec = pd.read_csv(filename, comment="#") + spec = remove_apostrophes(spec, ["Label"]) + + # remove temp rows from spec, ASim uses them to calculate the other values written + # to the EDB, but they are not actually part of the utility function themselves. + spec = spec.loc[~spec.Expression.isna()] + spec = spec.loc[~spec.Expression.str.startswith("_")].copy() + + return spec + + def simple_simulate_data( name="tour_mode_choice", edb_directory="output/estimation_data_bundle/{name}/", @@ -58,15 +93,20 @@ def simple_simulate_data( settings_file="{name}_model_settings.yaml", chooser_data_file="{name}_values_combined.csv", values_index_col="tour_id", -): - edb_directory = edb_directory.format(name=name) +) -> SimpleSimulateData: + edb_directory = str(edb_directory).format(name=name) def _read_csv(filename, **kwargs): - filename = filename.format(name=name) - return pd.read_csv(os.path.join(edb_directory, filename), **kwargs) + filename = Path(edb_directory).joinpath(filename.format(name=name)) + if filename.with_suffix(".parquet").exists(): + print("loading from", filename.with_suffix(".parquet")) + return pd.read_parquet(filename.with_suffix(".parquet"), **kwargs) + if filename.exists(): + print("loading from", filename) + return pd.read_csv(filename, **kwargs) settings_file = settings_file.format(name=name) - with open(os.path.join(edb_directory, settings_file), "r") as yf: + with open(os.path.join(edb_directory, settings_file)) as yf: settings = yaml.load( yf, Loader=yaml.SafeLoader, @@ -86,23 +126,16 @@ def _read_csv(filename, **kwargs): except FileNotFoundError: coef_template = None - spec = _read_csv(spec_file, comment="#") - spec = remove_apostrophes(spec, ["Label"]) - - # remove temp rows from spec, ASim uses them to calculate the other values written - # to the EDB, but they are not actually part of the utility function themselves. - spec = spec.loc[~spec.Expression.isna()] - spec = spec.loc[~spec.Expression.str.startswith("_")].copy() + spec = read_spec(Path(edb_directory).joinpath(spec_file.format(name=name))) alt_names = list(spec.columns[3:]) alt_codes = np.arange(1, len(alt_names) + 1) - alt_names_to_codes = dict(zip(alt_names, alt_codes)) - alt_codes_to_names = dict(zip(alt_codes, alt_names)) + alt_names_to_codes = dict(zip(alt_names, alt_codes, strict=False)) + alt_codes_to_names = dict(zip(alt_codes, alt_names, strict=False)) chooser_data = _read_csv( chooser_data_file, - index_col=values_index_col, - ) + ).set_index(values_index_col) except Exception: # when an error happens in reading anything other than settings, print settings @@ -111,7 +144,7 @@ def _read_csv(filename, **kwargs): pprint(settings) raise - return Dict( + return SimpleSimulateData( edb_directory=Path(edb_directory), settings=settings, chooser_data=chooser_data, @@ -157,33 +190,40 @@ def simple_simulate_model( if settings.get("LOGIT_TYPE") == "NL": tree = construct_nesting_tree(data.alt_names, settings["NESTS"]) - m = Model(graph=tree) else: - m = Model(alts=data.alt_codes_to_names) + tree = construct_nesting_tree(data.alt_names_to_codes, {}) + m = Model(compute_engine="numba") m.utility_co = dict_of_linear_utility_from_spec( spec, "Label", - dict(zip(alt_names, alt_codes)), + dict(zip(alt_names, alt_codes, strict=False)), + x_validator=chooser_data, + expr_col="Expression", ) apply_coefficients(coefficients, m) if construct_avail: avail = construct_availability(m, chooser_data, data.alt_codes_to_names) + d = larch.Dataset.construct.from_idco( + pd.concat([chooser_data, avail], axis=1), + alts=dict(zip(alt_codes, alt_names, strict=False)), + ) else: avail = True + d = larch.Dataset.construct.from_idco( + chooser_data, alts=dict(zip(alt_codes, alt_names, strict=False)) + ) - d = DataFrames( - co=chooser_data, - av=avail, - alt_codes=alt_codes, - alt_names=alt_names, - ) - - m.dataservice = d + m.datatree = d.dc.as_tree("df") + m.graph = tree m.choice_co_code = "override_choice_code" + # set bounds on unbounded coefficients, so that they don't get big + # and cause numerical errors which some optimizers can't handle + m.set_cap(50) + if return_data: return ( m, diff --git a/activitysim/estimation/larch/stop_frequency.py b/activitysim/estimation/larch/stop_frequency.py index e580491e0..17c8bd505 100644 --- a/activitysim/estimation/larch/stop_frequency.py +++ b/activitysim/estimation/larch/stop_frequency.py @@ -1,10 +1,12 @@ +from __future__ import annotations + import os from pathlib import Path import numpy as np import pandas as pd import yaml -from larch import DataFrames, Model +from larch import Dataset, Model from larch.util import Dict from .general import ( @@ -25,11 +27,29 @@ def stop_frequency_data( edb_directory = edb_directory.format(name=name) settings_file = settings_file.format(name=name) - with open(os.path.join(edb_directory, settings_file), "r") as yf: - settings = yaml.load( - yf, - Loader=yaml.SafeLoader, - ) + try: + with open(os.path.join(edb_directory, settings_file), "r") as yf: + settings = yaml.load( + yf, + Loader=yaml.SafeLoader, + ) + except FileNotFoundError: + # search in all first level subdirectories for the settings file + for subdir in os.listdir(edb_directory): + if os.path.isdir(os.path.join(edb_directory, subdir)): + try: + with open( + os.path.join(edb_directory, subdir, settings_file), "r" + ) as yf: + settings = yaml.load( + yf, + Loader=yaml.SafeLoader, + ) + break + except FileNotFoundError: + pass + else: + raise segments = [i["primary_purpose"] for i in settings["SPEC_SEGMENTS"]] @@ -109,10 +129,30 @@ def stop_frequency_data( seg_alt_names_to_codes.append(alt_names_to_codes) seg_alt_codes_to_names.append(alt_codes_to_names) - chooser_data = pd.read_csv( - seg_subdir / chooser_data_file.format(name=name), - index_col=values_index_col, - ) + # load parquet if available, otherwise pickle, or if all else fails csv + if ( + (seg_subdir / chooser_data_file.format(name=name)) + .with_suffix(".parquet") + .exists() + ): + chooser_data = pd.read_parquet( + (seg_subdir / chooser_data_file.format(name=name)).with_suffix( + ".parquet" + ), + ).set_index(values_index_col) + elif ( + (seg_subdir / chooser_data_file.format(name=name)) + .with_suffix(".pkl") + .exists() + ): + chooser_data = pd.read_pickle( + (seg_subdir / chooser_data_file.format(name=name)).with_suffix(".pkl"), + ).set_index(values_index_col) + else: + chooser_data = pd.read_csv( + seg_subdir / chooser_data_file.format(name=name), + index_col=values_index_col, + ) seg_chooser_data.append(chooser_data) return Dict( @@ -163,9 +203,9 @@ def stop_frequency_model( if settings.get("LOGIT_TYPE") == "NL": tree = construct_nesting_tree(data.alt_names[n], settings["NESTS"]) - m = Model(graph=tree) + m = Model(graph=tree, compute_engine="numba") else: - m = Model() + m = Model(compute_engine="numba") m.utility_co = dict_of_linear_utility_from_spec( spec, @@ -177,15 +217,19 @@ def stop_frequency_model( avail = True - d = DataFrames( - co=chooser_data, - av=avail, - alt_codes=alt_codes, - alt_names=alt_names, + d = Dataset.construct.from_idco( + chooser_data, alts=dict(zip(alt_codes, alt_names)) ) - - m.dataservice = d + # d = DataFrames( + # co=chooser_data, + # av=avail, + # alt_codes=alt_codes, + # alt_names=alt_names, + # ) + + m.datatree = d m.choice_co_code = "override_choice_code" + m.availability_any = True models.append(m) from larch.model.model_group import ModelGroup diff --git a/activitysim/estimation/test/test_edb_creation/configs_estimation/estimation_template.yaml b/activitysim/estimation/test/test_edb_creation/configs_estimation/estimation_template.yaml index 34b612c4c..ff50c99ab 100644 --- a/activitysim/estimation/test/test_edb_creation/configs_estimation/estimation_template.yaml +++ b/activitysim/estimation/test/test_edb_creation/configs_estimation/estimation_template.yaml @@ -102,7 +102,7 @@ estimation_table_recipes: omnibus_tables_append_columns: [values_combined] -model_estimation_table_types: +estimation_table_types: school_location: interaction_sample_simulate workplace_location: interaction_sample_simulate auto_ownership: simple_simulate diff --git a/activitysim/estimation/test/test_larch_estimation.py b/activitysim/estimation/test/test_larch_estimation.py index 09355f846..c0ed4a44d 100644 --- a/activitysim/estimation/test/test_larch_estimation.py +++ b/activitysim/estimation/test/test_larch_estimation.py @@ -39,7 +39,7 @@ def _regression_check(dataframe_regression, df, basename=None, rtol=None): rtol = 0.1 dataframe_regression.check( df.select_dtypes("number") - .drop(columns=["holdfast"], errors="ignore") + .drop(columns=["holdfast", "minimum", "maximum"], errors="ignore") .clip(-9e9, 9e9), # pandas 1.3 handles int8 dtypes as actual numbers, so holdfast needs to be dropped manually # we're dropping it not adding to the regression check so older pandas will also work. @@ -73,7 +73,7 @@ def test_simple_simulate(est_data, num_regression, dataframe_regression, name, m m.load_data() m.doctor(repair_ch_av="-") loglike_prior = m.loglike() - r = m.maximize_loglike(method=method, options={"maxiter": 1000}) + r = m.maximize_loglike(method=method, options={"maxiter": 1000, "ftol": 1e-9}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, basename=f"test_simple_simulate_{name}_{method}_loglike", @@ -87,9 +87,11 @@ def test_simple_simulate(est_data, num_regression, dataframe_regression, name, m [ ("workplace_location", "SLSQP", None), ("school_location", "SLSQP", None), + ("school_location", "BHHH", None), ("non_mandatory_tour_destination", "SLSQP", None), ("atwork_subtour_destination", "BHHH", None), - ("trip_destination", "SLSQP", 0.12), + ("trip_destination", "BHHH", None), + # ("trip_destination", "SLSQP", 0.12), # trip_destination model has unusual parameter variance on a couple # parameters when switching platforms, possibly related to default data # types and high standard errors. Most parameters and the overall @@ -103,12 +105,12 @@ def test_location_model( from activitysim.estimation.larch import component_model, update_size_spec m, data = component_model(name, return_data=True) - m.load_data() + m.doctor(repair_av_zq="-", repair_nan_utility=True) loglike_prior = m.loglike() - r = m.maximize_loglike(method=method, options={"maxiter": 1000}) + r = m.maximize_loglike(method=method, options={"maxiter": 1000, "ftol": 1.0e-8}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, - basename=f"test_loc_{name}_loglike", + basename=f"test_loc_{name}_{method}_loglike", ) _regression_check(dataframe_regression, m.pf, rtol=rtol) size_spec = update_size_spec( @@ -119,7 +121,7 @@ def test_location_model( ) dataframe_regression.check( size_spec, - basename=f"test_loc_{name}_size_spec", + basename=f"test_loc_{name}_{method}_size_spec", default_tolerance=dict(atol=1e-6, rtol=5e-2) # set a little loose, as there is sometimes a little variance in these # results when switching backend implementations. @@ -143,7 +145,7 @@ def test_scheduling_model(est_data, num_regression, dataframe_regression, name, m.load_data() m.doctor(repair_ch_av="-") loglike_prior = m.loglike() - r = m.maximize_loglike(method=method) + r = m.maximize_loglike(method=method, options={"maxiter": 1000, "ftol": 1.0e-9}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, basename=f"test_{name}_loglike", @@ -158,7 +160,7 @@ def test_stop_freq_model(est_data, num_regression, dataframe_regression): m, data = component_model(name, return_data=True) m.load_data() loglike_prior = m.loglike() - r = m.maximize_loglike() + r = m.maximize_loglike(method="SLSQP", options={"maxiter": 1000, "ftol": 1.0e-9}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, basename=f"test_{name}_loglike", @@ -222,7 +224,7 @@ def test_cdap_model(est_data, num_regression, dataframe_regression): m = cdap_model() m.load_data() loglike_prior = m.loglike() - r = m.maximize_loglike(method="SLSQP", options={"maxiter": 1000}) + r = m.maximize_loglike(method="SLSQP", options={"maxiter": 1000, "ftol": 1.0e-7}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, basename="test_cdap_model_loglike", @@ -260,7 +262,7 @@ def test_tour_and_subtour_mode_choice(est_data, num_regression, dataframe_regres m.load_data() m.doctor(repair_ch_av="-") loglike_prior = m.loglike() - r = m.maximize_loglike(method="SLSQP", options={"maxiter": 1000}) + r = m.maximize_loglike(method="SLSQP", options={"maxiter": 1000, "ftol": 1.0e-9}) num_regression.check( {"loglike_prior": loglike_prior, "loglike_converge": r.loglike}, basename="test_tour_mode_choice_loglike", diff --git a/activitysim/estimation/test/test_larch_estimation/test_cdap_model.csv b/activitysim/estimation/test/test_larch_estimation/test_cdap_model.csv index a9e237b23..400eb2fb9 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_cdap_model.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_cdap_model.csv @@ -1,162 +1,162 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_UNAVAILABLE,-999,-999,0,-999,-999,-999 -coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N,0.87159546592932291,0.08233,0,,,0.87159546592932291 -coef_driving_age_child_who_is_in_school_asc_M,0.74815228797618816,2.3309186849999999,0,,,0.74815228797618816 -coef_driving_age_child_who_is_in_school_asc_N,-9.0640177490324412,-0.59911911200000001,0,,,-9.0640177490324412 -coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H,-0.90601686275009163,-0.50309999999999999,0,,,-0.90601686275009163 -coef_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H,0.42727506400961712,0.64749999999999996,0,,,0.42727506400961712 -coef_driving_age_child_who_is_in_school_interaction_with_income_more_than_100k_H,-1.7272824609972235,-2.0459999999999998,0,,,-1.7272824609972235 -coef_driving_age_child_who_is_in_school_interaction_with_less_than_20k_H,0.45396678614268526,1.3069999999999999,0,,,0.45396678614268526 -coef_full_time_worker_asc_M,0.98435866822120488,1.3787345790000001,0,,,0.98435866822120488 -coef_full_time_worker_asc_N,0.73324510331920412,0.62266239099999998,0,,,0.73324510331920412 -coef_full_time_worker_interaction_with_age_less_than_40_M,0.44443952843908197,0.20910000000000001,0,,,0.44443952843908197 -coef_full_time_worker_interaction_with_female_gender_M,0.038410812572387439,-0.12590000000000001,0,,,0.038410812572387439 -coef_full_time_worker_interaction_with_fewer_cars_than_workers_H,0.41538570763618882,0.50390000000000001,0,,,0.41538570763618882 -coef_full_time_worker_interaction_with_income_less_than_20k_H,0.44991051165021323,0.53129999999999999,0,,,0.44991051165021323 -coef_full_time_worker_intraction_with_peak_accessibility_to_all_employment_M,0.15132046128679377,0.1212,0,,,0.15132046128679377 -coef_non_working_adult_asc_N,0.61315184259117572,0.59464538600000005,0,,,0.61315184259117572 -coef_non_working_adult_interaction_with_female_gender_M,-0.74299999999999999,-0.74299999999999999,0,,,-0.74299999999999999 -coef_non_working_adult_interaction_with_fewer_cars_than_workers_H,0.80008083982324651,0.89649999999999996,0,,,0.80008083982324651 -coef_non_working_adult_interaction_with_income_between_50k_and_100k_H,-1.135877229516298,-0.56020000000000003,0,,,-1.135877229516298 -coef_non_working_adult_interaction_with_income_more_than_100k_H,-0.53695636446511075,-0.71879999999999999,0,,,-0.53695636446511075 -coef_non_working_adult_interaction_with_more_cars_than_workers_M,0.65149999999999997,0.65149999999999997,0,,,0.65149999999999997 -coef_non_working_adult_interaction_with_more_cars_than_workers_N,1.4756696612117433,0.81679999999999997,0,,,1.4756696612117433 -coef_non_working_adult_interaction_with_peak_accessibility_to_all_employment_M,0.23139999999999999,0.23139999999999999,0,,,0.23139999999999999 -coef_non_working_adult_retired_or_univ_student_interaction_with_off_peak_accessibility_to_all_employment_N,0.05369614335005668,0.072069999999999995,0,,,0.05369614335005668 -coef_part_time_worker_asc_M,4.6632375293425374,-0.71882373799999999,0,,,4.6632375293425374 -coef_part_time_worker_asc_N,0.63327669200378511,0.63603246700000005,0,,,0.63327669200378511 -coef_part_time_worker_interaction_with_income_between_50k_and_100k_H,0.084764438455744495,-0.4032,0,,,0.084764438455744495 -coef_part_time_worker_interaction_with_income_less_than_20k_H,0.38471102017852971,0.32319999999999999,0,,,0.38471102017852971 -coef_part_time_worker_interaction_with_income_more_than_100k_H,-1.3396802216835464,-0.35339999999999999,0,,,-1.3396802216835464 -coef_part_time_worker_interaction_with_income_more_than_100k_N,0.57320315896108665,0.42070000000000002,0,,,0.57320315896108665 -coef_part_time_worker_interaction_with_peak_accessibility_to_all_employment_M,-0.22927275954114743,0.20039999999999999,0,,,-0.22927275954114743 -coef_pre_driving_age_child_who_is_in_school_asc_M,3.9697740814213565,3.295863529,0,,,3.9697740814213565 -coef_pre_driving_age_child_who_is_in_school_asc_N,-6.9669814176755258,0.57142433999999998,0,,,-6.9669814176755258 -coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_M,-1.5862536567965162,-0.71409999999999996,0,,,-1.5862536567965162 -coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_N,-1.1444471156694567,-0.67200000000000004,0,,,-1.1444471156694567 -coef_pre_driving_age_child_who_is_in_school_interaction_with_age_6_to_9_M,-0.71694326641444928,-0.29430000000000001,0,,,-0.71694326641444928 -coef_pre_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H,1.0962667615224149,0.58620000000000005,0,,,1.0962667615224149 -coef_pre_driving_age_child_who_is_too_young_for_school_asc_M,0.92486435043901694,1.052531189,0,,,0.92486435043901694 -coef_pre_driving_age_child_who_is_too_young_for_school_asc_N,-8.6130259294995177,-0.83756777599999999,0,,,-8.6130259294995177 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_0_to_1_M,-0.94468281293415513,-0.45150000000000001,0,,,-0.94468281293415513 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_4_to_5_M,0.23268035055770159,0.61070000000000002,0,,,0.23268035055770159 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_fewer_cars_than_workers_H,-0.056007934757943807,0.50609999999999999,0,,,-0.056007934757943807 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_between_50k_and_100k_H,-0.71502868941234388,-0.57079999999999997,0,,,-0.71502868941234388 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_more_than_100k_H,-0.7760438496909059,-0.61860000000000004,0,,,-0.7760438496909059 -coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_more_cars_than_workers_N,0.77447196962877585,0.29909999999999998,0,,,0.77447196962877585 -coef_retired_asc_N,1.1425900456454805,0.408202071,0,,,1.1425900456454805 -coef_retired_interaction_with_age_more_than_80_H,1.1363693439466673,0.76659999999999995,0,,,1.1363693439466673 -coef_retired_interaction_with_female_M,0.47689999999999999,0.47689999999999999,0,,,0.47689999999999999 -coef_retired_interaction_with_fewer_cars_than_workers_H,1.1295952477348739,0.54959999999999998,0,,,1.1295952477348739 -coef_retired_interaction_with_income_less_than_20k_H,0.65398902348188781,0.53300000000000003,0,,,0.65398902348188781 -coef_retired_interaction_with_more_cars_than_workers_M,2.992,2.992,0,,,2.992 -coef_retired_interaction_with_more_cars_than_workers_N,0.76262176538305015,1.056,0,,,0.76262176538305015 -coef_retired_interaction_with_peak_accessibility_to_all_employment_M,0.2792,0.2792,0,,,0.2792 -coef_university_student_asc_M,2.1206612172447477,2.3535951759999998,0,,,2.1206612172447477 -coef_university_student_asc_N,0.47323909115586493,0.609709846,0,,,0.47323909115586493 --999.0,-999,-999,-999,-999,-999,-999 -coef_H_11,1.5446242163709172,1.6259999999999999,0,,,1.5446242163709172 -coef_H_12,0.15833568776463425,0.74070000000000003,0,,,0.15833568776463425 -coef_H_13,1.5389002358533881,1.1830000000000001,0,,,1.5389002358533881 -coef_H_14,1.3436422025992563,0.94359999999999999,0,,,1.3436422025992563 -coef_H_15,0.62460727406650574,1.298,0,,,0.62460727406650574 -coef_H_16,1.521735383660767,2.0640000000000001,0,,,1.521735383660767 -coef_H_17,1.4606474415665514,1.5009999999999999,0,,,1.4606474415665514 -coef_H_18,1.2139109701831139,0.99119999999999997,0,,,1.2139109701831139 -coef_H_22,-15.923116744497655,0.8911,0,,,-15.923116744497655 -coef_H_23,0.73052600611455265,1.6419999999999999,0,,,0.73052600611455265 -coef_H_24,1.0651655384578942,0.70569999999999999,0,,,1.0651655384578942 -coef_H_25,-16.202420121437097,0.46300000000000002,0,,,-16.202420121437097 -coef_H_26,4.156194778954351,3.0569999999999999,0,,,4.156194778954351 -coef_H_27,0.40222213291144671,0.76849999999999996,0,,,0.40222213291144671 -coef_H_28,-15.469749038901073,1.0700000000000001,0,,,-15.469749038901073 -coef_H_33,0.99710939823398292,1.018,0,,,0.99710939823398292 -coef_H_34,1.6743259141961955,1.7809999999999999,0,,,1.6743259141961955 -coef_H_35,-17.763631508602064,0.48349999999999999,0,,,-17.763631508602064 -coef_H_36,1.546,1.546,0,,,1.546 -coef_H_37,1.552,1.552,0,,,1.552 -coef_H_38,1.3400000000000001,1.3400000000000001,0,,,1.3400000000000001 -coef_H_44,1.7326164145508278,1.3520000000000001,0,,,1.7326164145508278 -coef_H_45,2.1749474138597793,1.2090000000000001,0,,,2.1749474138597793 -coef_H_46,0.52429999999999999,0.52429999999999999,0,,,0.52429999999999999 -coef_H_47,0.81120000000000003,0.81120000000000003,0,,,0.81120000000000003 -coef_H_48,1.167,1.167,0,,,1.167 -coef_H_55,0.98410006600474542,1.407,0,,,0.98410006600474542 -coef_H_56_57_58,0.86319999999999997,0.86319999999999997,0,,,0.86319999999999997 -coef_H_66,18.485095476410191,2.198,0,,,18.485095476410191 -coef_H_67,-18.838145375909068,0.97699999999999998,0,,,-18.838145375909068 -coef_H_68,1.4670000000000001,1.4670000000000001,0,,,1.4670000000000001 -coef_H_77,2.4644108765258532,2.7999999999999998,0,,,2.4644108765258532 -coef_H_78,16.353710938881033,1.4339999999999999,0,,,16.353710938881033 -coef_H_88,1.189203293091496,1.3779999999999999,0,,,1.189203293091496 -coef_M_11,-0.069163059806229873,0.14099999999999999,0,,,-0.069163059806229873 -coef_M_12,0.27916204731988919,0.088450000000000001,0,,,0.27916204731988919 -coef_M_13,0.29314801601836593,0.42730000000000001,0,,,0.29314801601836593 -coef_M_16,0.39262282583718466,0.38419999999999999,0,,,0.39262282583718466 -coef_M_17,-0.10503260073739486,0.26229999999999998,0,,,-0.10503260073739486 -coef_M_18,0.28872595185423811,0.51180000000000003,0,,,0.28872595185423811 -coef_M_22,0.94589050141866338,1.135,0,,,0.94589050141866338 -coef_M_23,0.1879379616749213,0.17299999999999999,0,,,0.1879379616749213 -coef_M_26,1.9267776692819061,1.103,0,,,1.9267776692819061 -coef_M_27,0.1161255949291411,0.30790000000000001,0,,,0.1161255949291411 -coef_M_28,0.40930716183312305,0.50739999999999996,0,,,0.40930716183312305 -coef_M_33,0.42731234923519629,0.87260000000000004,0,,,0.42731234923519629 -coef_M_36,-0.0020999999999999999,-0.0020999999999999999,0,,,-0.0020999999999999999 -coef_M_37,0.29749999999999999,0.29749999999999999,0,,,0.29749999999999999 -coef_M_38,0.22539999999999999,0.22539999999999999,0,,,0.22539999999999999 -coef_M_66,16.866971034774586,0.47939999999999999,0,,,16.866971034774586 -coef_M_67,-18.934085377461077,0.5151,0,,,-18.934085377461077 -coef_M_68,0.55159999999999998,0.55159999999999998,0,,,0.55159999999999998 -coef_M_77,1.1689185377597398,0.97309999999999997,0,,,1.1689185377597398 -coef_M_78,-1.5331233891804061,0.59609999999999996,0,,,-1.5331233891804061 -coef_M_88,1.1505839302746146,1.651,0,,,1.1505839302746146 -coef_N_11,0.87318887937108214,1.123,0,,,0.87318887937108214 -coef_N_12,0.24183915201361481,0.49469999999999997,0,,,0.24183915201361481 -coef_N_13,0.59192245194065063,0.55230000000000001,0,,,0.59192245194065063 -coef_N_14,-0.11520399026943709,0.021860000000000001,0,,,-0.11520399026943709 -coef_N_15,0.35837177201195769,0.3115,0,,,0.35837177201195769 -coef_N_16,0.87560206874032775,0.40949999999999998,0,,,0.87560206874032775 -coef_N_17,-0.12677865514794309,0.6008,0,,,-0.12677865514794309 -coef_N_18,0.10704226969734577,0.751,0,,,0.10704226969734577 -coef_N_22,0.72707556913323979,1.032,0,,,0.72707556913323979 -coef_N_23,0.54094331873208856,0.33550000000000002,0,,,0.54094331873208856 -coef_N_24,1.2778673813277723,0.74770000000000003,0,,,1.2778673813277723 -coef_N_25,-0.44876565834828996,0.098309999999999995,0,,,-0.44876565834828996 -coef_N_26,-14.897952319514477,0.495,0,,,-14.897952319514477 -coef_N_27,0.3031034553268101,0.89839999999999998,0,,,0.3031034553268101 -coef_N_28,0.90141537238007852,1.452,0,,,0.90141537238007852 -coef_N_33,0.94126692083673891,1.054,0,,,0.94126692083673891 -coef_N_34,-0.17640412257232874,0.193,0,,,-0.17640412257232874 -coef_N_35,0.10306375422257623,0.40649999999999997,0,,,0.10306375422257623 -coef_N_36,1.6200000000000001,1.6200000000000001,0,,,1.6200000000000001 -coef_N_37,0.51649999999999996,0.51649999999999996,0,,,0.51649999999999996 -coef_N_38,0.89729999999999999,0.89729999999999999,0,,,0.89729999999999999 -coef_N_44,0.18753988004006014,0.69840000000000002,0,,,0.18753988004006014 -coef_N_45,0.10139966319988514,0.18640000000000001,0,,,0.10139966319988514 -coef_N_46,0.68010000000000004,0.68010000000000004,0,,,0.68010000000000004 -coef_N_47,0.56459999999999999,0.56459999999999999,0,,,0.56459999999999999 -coef_N_48,1.1639999999999999,1.1639999999999999,0,,,1.1639999999999999 -coef_N_55,0.71481848079980614,0.72909999999999997,0,,,0.71481848079980614 -coef_N_56_57_58,0.29189999999999999,0.29189999999999999,0,,,0.29189999999999999 -coef_N_66,-2.4730624946698345,1.512,0,,,-2.4730624946698345 -coef_N_67,-14.740556739194025,1.4219999999999999,0,,,-14.740556739194025 -coef_N_68,1.2729999999999999,1.2729999999999999,0,,,1.2729999999999999 -coef_N_77,2.3130640609159334,1.5529999999999999,0,,,2.3130640609159334 -coef_N_78,-0.30407334622872023,0.61839999999999995,0,,,-0.30407334622872023 -coef_N_88,-0.15881741099470906,0.87709999999999999,0,,,-0.15881741099470906 -coef_H_124_122_144,0.33133065098679593,0.95730000000000004,0,,,0.33133065098679593 -coef_H_126_146,1.5514557242593745,0.29389999999999999,0,,,1.5514557242593745 -coef_H_222_224_244,-9.203498518007823,0.98809999999999998,0,,,-9.203498518007823 -coef_H_226_246_446,34.311085923988777,0.43740000000000001,0,,,34.311085923988777 -coef_H_266_466,0.47470000000000001,0.47470000000000001,0,,,0.47470000000000001 -coef_H_xxxxx,-4.3950349906415909,-8.6210000000000004,0,,,-4.3950349906415909 -coef_M_111,0.22029613237472445,0.31330000000000002,0,,,0.22029613237472445 -coef_M_112_114,-0.0040326112064052802,0.34949999999999998,0,,,-0.0040326112064052802 -coef_M_666,-0.3906,-0.3906,0,,,-0.3906 -coef_M_xxxxx,-0.094419014924773184,-1.528,0,,,-0.094419014924773184 -coef_N_112_114,0.38961790319791489,0.4637,0,,,0.38961790319791489 -coef_N_124_122_144,0.58723976265654321,0.34910000000000002,0,,,0.58723976265654321 -coef_N_166,-1.6454258220246625,0.3553,0,,,-1.6454258220246625 -coef_N_222_224_444,-0.73749437161692599,-1.3859999999999999,0,,,-0.73749437161692599 -coef_N_246_226_446,-0.85860667485009734,-0.85709999999999997,0,,,-0.85860667485009734 -coef_N_xxxxx,-1.0332955358547824,-3.4529999999999998,0,,,-1.0332955358547824 +param_name,value,best,initvalue,nullvalue +-999.0,-999,-999,-999,0 +coef_H_11,1.5419336578228711,1.5419336578228711,1.6259999999999999,0 +coef_H_12,0.1568571252329849,0.1568571252329849,0.74070000000000003,0 +coef_H_124_122_144,0.32986113267128092,0.32986113267128092,0.95730000000000004,0 +coef_H_126_146,1.4938156680605212,1.4938156680605212,0.29389999999999999,0 +coef_H_13,1.530278002377929,1.530278002377929,1.1830000000000001,0 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+coef_N_44,0.17090119236816009,0.17090119236816009,0.69840000000000002,0 +coef_N_45,0.10502837410928217,0.10502837410928217,0.18640000000000001,0 +coef_N_46,0.68010000000000004,0.68010000000000004,0.68010000000000004,0 +coef_N_47,0.56459999999999999,0.56459999999999999,0.56459999999999999,0 +coef_N_48,1.1639999999999999,1.1639999999999999,1.1639999999999999,0 +coef_N_55,0.71685424802473707,0.71685424802473707,0.72909999999999997,0 +coef_N_56_57_58,0.29189999999999999,0.29189999999999999,0.29189999999999999,0 +coef_N_66,-0.33771670602573539,-0.33771670602573539,1.512,0 +coef_N_67,-0.51003034698548388,-0.51003034698548388,1.4219999999999999,0 +coef_N_68,1.2729999999999999,1.2729999999999999,1.2729999999999999,0 +coef_N_77,2.3038032526813228,2.3038032526813228,1.5529999999999999,0 +coef_N_78,-0.050192112434025701,-0.050192112434025701,0.61839999999999995,0 +coef_N_88,-0.12160277921446122,-0.12160277921446122,0.87709999999999999,0 +coef_N_xxxxx,-1.0454032140665002,-1.0454032140665002,-3.4529999999999998,0 +coef_UNAVAILABLE,-999,-999,-999,0 +coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N,0.31817765512188612,0.31817765512188612,0.08233,0 +coef_driving_age_child_who_is_in_school_asc_M,0.76528459302162444,0.76528459302162444,2.3309186849999999,0 +coef_driving_age_child_who_is_in_school_asc_N,-3.5523769241342968,-3.5523769241342968,-0.59911911200000001,0 +coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H,-0.94575683546498501,-0.94575683546498501,-0.50309999999999999,0 +coef_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H,0.45457650403543642,0.45457650403543642,0.64749999999999996,0 +coef_driving_age_child_who_is_in_school_interaction_with_income_more_than_100k_H,-1.7469955117343503,-1.7469955117343503,-2.0459999999999998,0 +coef_driving_age_child_who_is_in_school_interaction_with_less_than_20k_H,0.45063485271679943,0.45063485271679943,1.3069999999999999,0 +coef_full_time_worker_asc_M,0.74125913107999808,0.74125913107999808,1.3787345790000001,0 +coef_full_time_worker_asc_N,0.73554763956044567,0.73554763956044567,0.62266239099999998,0 +coef_full_time_worker_interaction_with_age_less_than_40_M,0.44384674710175359,0.44384674710175359,0.20910000000000001,0 +coef_full_time_worker_interaction_with_female_gender_M,0.038779513853859825,0.038779513853859825,-0.12590000000000001,0 +coef_full_time_worker_interaction_with_fewer_cars_than_workers_H,0.41683751563975829,0.41683751563975829,0.50390000000000001,0 +coef_full_time_worker_interaction_with_income_less_than_20k_H,0.4546699336623663,0.4546699336623663,0.53129999999999999,0 +coef_full_time_worker_intraction_with_peak_accessibility_to_all_employment_M,0.17061134225870994,0.17061134225870994,0.1212,0 +coef_non_working_adult_asc_N,0.5032527423546157,0.5032527423546157,0.59464538600000005,0 +coef_non_working_adult_interaction_with_female_gender_M,-0.74299999999999999,-0.74299999999999999,-0.74299999999999999,0 +coef_non_working_adult_interaction_with_fewer_cars_than_workers_H,0.79550405235037291,0.79550405235037291,0.89649999999999996,0 +coef_non_working_adult_interaction_with_income_between_50k_and_100k_H,-1.1335473989478433,-1.1335473989478433,-0.56020000000000003,0 +coef_non_working_adult_interaction_with_income_more_than_100k_H,-0.52876095625819419,-0.52876095625819419,-0.71879999999999999,0 +coef_non_working_adult_interaction_with_more_cars_than_workers_M,0.65149999999999997,0.65149999999999997,0.65149999999999997,0 +coef_non_working_adult_interaction_with_more_cars_than_workers_N,1.4789652448709654,1.4789652448709654,0.81679999999999997,0 +coef_non_working_adult_interaction_with_peak_accessibility_to_all_employment_M,0.23139999999999999,0.23139999999999999,0.23139999999999999,0 +coef_non_working_adult_retired_or_univ_student_interaction_with_off_peak_accessibility_to_all_employment_N,0.064939130822218152,0.064939130822218152,0.072069999999999995,0 +coef_part_time_worker_asc_M,6.3592603940417298,6.3592603940417298,-0.71882373799999999,0 +coef_part_time_worker_asc_N,0.62900096289821572,0.62900096289821572,0.63603246700000005,0 +coef_part_time_worker_interaction_with_income_between_50k_and_100k_H,0.083715416192307907,0.083715416192307907,-0.4032,0 +coef_part_time_worker_interaction_with_income_less_than_20k_H,0.37591205189659627,0.37591205189659627,0.32319999999999999,0 +coef_part_time_worker_interaction_with_income_more_than_100k_H,-1.344577739113451,-1.344577739113451,-0.35339999999999999,0 +coef_part_time_worker_interaction_with_income_more_than_100k_N,0.57926282447447563,0.57926282447447563,0.42070000000000002,0 +coef_part_time_worker_interaction_with_peak_accessibility_to_all_employment_M,-0.36291295851748201,-0.36291295851748201,0.20039999999999999,0 +coef_pre_driving_age_child_who_is_in_school_asc_M,3.9364917022114958,3.9364917022114958,3.295863529,0 +coef_pre_driving_age_child_who_is_in_school_asc_N,-1.4901825824862984,-1.4901825824862984,0.57142433999999998,0 +coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_M,-1.560760489357776,-1.560760489357776,-0.71409999999999996,0 +coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_N,-1.1582880792288159,-1.1582880792288159,-0.67200000000000004,0 +coef_pre_driving_age_child_who_is_in_school_interaction_with_age_6_to_9_M,-0.69702865509680834,-0.69702865509680834,-0.29430000000000001,0 +coef_pre_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H,1.0807804461266468,1.0807804461266468,0.58620000000000005,0 +coef_pre_driving_age_child_who_is_too_young_for_school_asc_M,0.93791299554872232,0.93791299554872232,1.052531189,0 +coef_pre_driving_age_child_who_is_too_young_for_school_asc_N,-3.1168217219705499,-3.1168217219705499,-0.83756777599999999,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_0_to_1_M,-0.97840886625486712,-0.97840886625486712,-0.45150000000000001,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_4_to_5_M,0.22680433121070148,0.22680433121070148,0.61070000000000002,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_fewer_cars_than_workers_H,-0.064351049344718039,-0.064351049344718039,0.50609999999999999,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_between_50k_and_100k_H,-0.70378572103967652,-0.70378572103967652,-0.57079999999999997,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_more_than_100k_H,-0.77304583320350251,-0.77304583320350251,-0.61860000000000004,0 +coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_more_cars_than_workers_N,0.69633632402948109,0.69633632402948109,0.29909999999999998,0 +coef_retired_asc_N,1.0264990433635548,1.0264990433635548,0.408202071,0 +coef_retired_interaction_with_age_more_than_80_H,1.1355402656793447,1.1355402656793447,0.76659999999999995,0 +coef_retired_interaction_with_female_M,0.47689999999999999,0.47689999999999999,0.47689999999999999,0 +coef_retired_interaction_with_fewer_cars_than_workers_H,1.1284456224788169,1.1284456224788169,0.54959999999999998,0 +coef_retired_interaction_with_income_less_than_20k_H,0.65094671152574535,0.65094671152574535,0.53300000000000003,0 +coef_retired_interaction_with_more_cars_than_workers_M,2.992,2.992,2.992,0 +coef_retired_interaction_with_more_cars_than_workers_N,0.76654574573265821,0.76654574573265821,1.056,0 +coef_retired_interaction_with_peak_accessibility_to_all_employment_M,0.2792,0.2792,0.2792,0 +coef_university_student_asc_M,2.1131909971292351,2.1131909971292351,2.3535951759999998,0 +coef_university_student_asc_N,0.35532700566947006,0.35532700566947006,0.609709846,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_cdap_model_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_cdap_model_loglike.csv index dcd755572..cf7fc482c 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_cdap_model_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_cdap_model_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-2460.72797581254872057,-2335.77494762967762654 +0,-2460.7280651590818,-2336.352120296393 diff --git a/activitysim/estimation/test/test_larch_estimation/test_joint_tour_scheduling_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_joint_tour_scheduling_loglike.csv index a8e60cc38..c5a6e449e 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_joint_tour_scheduling_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_joint_tour_scheduling_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-1295.3015770898169,-175.64109886722656 +0,-185.1805538740314,-163.38981780168791 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_loglike.csv new file mode 100644 index 000000000..90f36e10e --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-1604.7051182769926,-1393.2868770044743 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_size_spec.csv similarity index 97% rename from activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_size_spec.csv rename to activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_size_spec.csv index 55915d90a..1472d05ed 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_BHHH_size_spec.csv @@ -12,7 +12,7 @@ 10,othmaint,non_mandatory,0,0.48199999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 11,social,non_mandatory,0,0.52200000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 -13,atwork,atwork,0,0.80359528369795752,0,0.19640471630204245,0,0,0,0,0,0,0 +13,atwork,atwork,0,0.9565182592635646,0,0.043481740736435397,0,0,0,0,0,0,0 14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_loglike.csv deleted file mode 100644 index eb025e263..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_destination_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-2334.2258751965092,-2329.8700459477177 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_scheduling_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_scheduling_loglike.csv deleted file mode 100644 index 65489ba05..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_atwork_subtour_scheduling_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-6685.5153616099333,-1437.800794640111 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_loglike.csv new file mode 100644 index 000000000..77c309087 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-8511.5032542114423,-7720.5833427253137 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_size_spec.csv similarity index 51% rename from activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_size_spec.csv rename to activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_size_spec.csv index af3285fe2..9aee2eecc 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_SLSQP_size_spec.csv @@ -1,23 +1,23 @@ ,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE -0,work_low,workplace,0,0.12912912912912916,0.19319319319319325,0.38338338338338335,0.12012012012012015,0.010010010010010012,0.1641641641641641,0,0,0,0 -1,work_med,workplace,0,0.12012012012012013,0.19719719719719711,0.32532532532532538,0.13913913913913917,0.0080080080080080097,0.21021021021021022,0,0,0,0 +0,work_low,workplace,0,0.12912912912912911,0.19319319319319317,0.38338338338338335,0.12012012012012011,0.01001001001001001,0.16416416416416416,0,0,0,0 +1,work_med,workplace,0,0.12012012012012012,0.19719719719719719,0.32532532532532532,0.13913913913913914,0.0080080080080080079,0.21021021021021019,0,0,0,0 2,work_high,workplace,0,0.11,0.20699999999999999,0.28399999999999997,0.154,0.0060000000000000001,0.23899999999999999,0,0,0,0 3,work_veryhigh,workplace,0,0.092999999999999999,0.27000000000000002,0.24099999999999999,0.14599999999999999,0.0040000000000000001,0.246,0,0,0,0 -4,university,school,0,0,0,0,0,0,0,0,0,0.59200000000000008,0.40799999999999997 +4,university,school,0,0,0,0,0,0,0,0,0,0.59199999999999997,0.40799999999999997 5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 -7,escort,non_mandatory,0,0.34195879720614686,0,0.13084293500721081,0,0,0,0.47127943957016599,0.055918828216476292,0,0 +7,escort,non_mandatory,0,0.46217099216294472,0,0.076417211673566368,0,0,0,0.45632020794852418,0.0050915882149647294,0,0 8,shopping,non_mandatory,0,1,0,0,0,0,0,0,0,0,0 -9,eatout,non_mandatory,0,0.65324866493964562,0,0.34675133506035422,0,0,0,0,0,0,0 -10,othmaint,non_mandatory,0,0.4233662207110353,0,0.57663377928896464,0,0,0,0,0,0,0 -11,social,non_mandatory,0,0.41656965799658413,0,0.58343034200341592,0,0,0,0,0,0,0 -12,othdiscr,non_mandatory,0.29737723981663911,0.27581414711676105,0,0.23370128672645701,0.12262191040591303,0,0,0,0.070485415934229814,0,0 +9,eatout,non_mandatory,0,0.90706301951236668,0,0.092936980487633311,0,0,0,0,0,0,0 +10,othmaint,non_mandatory,0,0.93116571483751687,0,0.068834285162483244,0,0,0,0,0,0,0 +11,social,non_mandatory,0,0.92391195421170202,0,0.076088045788297989,0,0,0,0,0,0,0 +12,othdiscr,non_mandatory,0.52511273726308272,0.27498108262234988,0,0.023448766399240456,0.15609458779050345,0,0,0,0.020362825924823438,0,0 13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 -15,escort,trip,0.0010000000000000002,0.22500000000000003,0,0.14400000000000002,0,0,0,0.46399999999999997,0.16600000000000004,0,0 +15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 17,eatout,trip,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 18,othmaint,trip,0.001,0.48099999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 19,social,trip,0.001,0.52100000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 20,othdiscr,trip,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 -21,univ,trip,0.000999000999000999,0,0,0,0,0,0,0,0,0.59140859140859148,0.4075924075924075 +21,univ,trip,0.00099900099900099922,0,0,0,0,0,0,0,0,0.59140859140859148,0.40759240759240761 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_loglike.csv deleted file mode 100644 index c5df93cab..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_destination_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-12819.670044726949,-12802.203974292237 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_scheduling_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_scheduling_loglike.csv deleted file mode 100644 index d774c94c6..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_non_mandatory_tour_scheduling_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-12689.271731526222,-9843.6723572271876 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_loglike.csv new file mode 100644 index 000000000..61faa0892 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-3150.9027927232128,-2472.1256126886806 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_size_spec.csv new file mode 100644 index 000000000..b5a470032 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_BHHH_size_spec.csv @@ -0,0 +1,23 @@ +,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE +0,work_low,workplace,0,0.12912912912912911,0.19319319319319317,0.38338338338338335,0.12012012012012011,0.01001001001001001,0.16416416416416416,0,0,0,0 +1,work_med,workplace,0,0.12012012012012012,0.19719719719719719,0.32532532532532532,0.13913913913913914,0.0080080080080080079,0.21021021021021019,0,0,0,0 +2,work_high,workplace,0,0.11,0.20699999999999999,0.28399999999999997,0.154,0.0060000000000000001,0.23899999999999999,0,0,0,0 +3,work_veryhigh,workplace,0,0.092999999999999999,0.27000000000000002,0.24099999999999999,0.14599999999999999,0.0040000000000000001,0.246,0,0,0,0 +4,university,school,0,0,0,0,0,0,0,0,0,1,0 +5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 +6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 +7,escort,non_mandatory,0,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46500000000000002,0.16600000000000001,0,0 +8,shopping,non_mandatory,0,1,0,0,0,0,0,0,0,0,0 +9,eatout,non_mandatory,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +10,othmaint,non_mandatory,0,0.48199999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 +11,social,non_mandatory,0,0.52200000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 +12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 +13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 +15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 +16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 +17,eatout,trip,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +18,othmaint,trip,0.001,0.48099999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 +19,social,trip,0.001,0.52100000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 +20,othdiscr,trip,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 +21,univ,trip,0.00099900099900099922,0,0,0,0,0,0,0,0,0.59140859140859148,0.40759240759240761 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_loglike.csv new file mode 100644 index 000000000..11f796f1c --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-3150.9027927232128,-2472.5944704127669 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_size_spec.csv new file mode 100644 index 000000000..569194ef5 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_SLSQP_size_spec.csv @@ -0,0 +1,23 @@ +,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE +0,work_low,workplace,0,0.12912912912912911,0.19319319319319317,0.38338338338338335,0.12012012012012011,0.01001001001001001,0.16416416416416416,0,0,0,0 +1,work_med,workplace,0,0.12012012012012012,0.19719719719719719,0.32532532532532532,0.13913913913913914,0.0080080080080080079,0.21021021021021019,0,0,0,0 +2,work_high,workplace,0,0.11,0.20699999999999999,0.28399999999999997,0.154,0.0060000000000000001,0.23899999999999999,0,0,0,0 +3,work_veryhigh,workplace,0,0.092999999999999999,0.27000000000000002,0.24099999999999999,0.14599999999999999,0.0040000000000000001,0.246,0,0,0,0 +4,university,school,0,0,0,0,0,0,0,0,0,0.99583037710619249,0.004169622893807531 +5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 +6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 +7,escort,non_mandatory,0,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46500000000000002,0.16600000000000001,0,0 +8,shopping,non_mandatory,0,1,0,0,0,0,0,0,0,0,0 +9,eatout,non_mandatory,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +10,othmaint,non_mandatory,0,0.48199999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 +11,social,non_mandatory,0,0.52200000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 +12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 +13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 +15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 +16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 +17,eatout,trip,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 +18,othmaint,trip,0.001,0.48099999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 +19,social,trip,0.001,0.52100000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 +20,othdiscr,trip,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 +21,univ,trip,0.00099900099900099922,0,0,0,0,0,0,0,0,0.59140859140859148,0.40759240759240761 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_loglike.csv index 645ce4977..2e9a9a9bb 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-4070.349038545839,-4058.2217927321499 +0,-3150.9027927232128,-2472.12561268868057596 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_size_spec.csv index 06a6f09b3..569194ef5 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_school_location_size_spec.csv @@ -1,9 +1,9 @@ ,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE -0,work_low,workplace,0,0.12912912912912916,0.19319319319319325,0.38338338338338335,0.12012012012012015,0.010010010010010012,0.1641641641641641,0,0,0,0 -1,work_med,workplace,0,0.12012012012012013,0.19719719719719711,0.32532532532532538,0.13913913913913917,0.0080080080080080097,0.21021021021021022,0,0,0,0 +0,work_low,workplace,0,0.12912912912912911,0.19319319319319317,0.38338338338338335,0.12012012012012011,0.01001001001001001,0.16416416416416416,0,0,0,0 +1,work_med,workplace,0,0.12012012012012012,0.19719719719719719,0.32532532532532532,0.13913913913913914,0.0080080080080080079,0.21021021021021019,0,0,0,0 2,work_high,workplace,0,0.11,0.20699999999999999,0.28399999999999997,0.154,0.0060000000000000001,0.23899999999999999,0,0,0,0 3,work_veryhigh,workplace,0,0.092999999999999999,0.27000000000000002,0.24099999999999999,0.14599999999999999,0.0040000000000000001,0.246,0,0,0,0 -4,university,school,0,0,0,0,0,0,0,0,0,0.66488586546020301,0.33511413453979705 +4,university,school,0,0,0,0,0,0,0,0,0,0.99583037710619249,0.004169622893807531 5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 7,escort,non_mandatory,0,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46500000000000002,0.16600000000000001,0,0 @@ -14,10 +14,10 @@ 12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 -15,escort,trip,0.0010000000000000002,0.22500000000000003,0,0.14400000000000002,0,0,0,0.46399999999999997,0.16600000000000004,0,0 +15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 17,eatout,trip,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 18,othmaint,trip,0.001,0.48099999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 19,social,trip,0.001,0.52100000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 20,othdiscr,trip,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 -21,univ,trip,0.000999000999000999,0,0,0,0,0,0,0,0,0.59140859140859148,0.4075924075924075 +21,univ,trip,0.00099900099900099922,0,0,0,0,0,0,0,0,0.59140859140859148,0.40759240759240761 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_loglike.csv new file mode 100644 index 000000000..b6a4640e0 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-21837.014551855944,-8695.4742987000536 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_size_spec.csv similarity index 63% rename from activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_size_spec.csv rename to activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_size_spec.csv index 04abb0cc9..ebfe3d5b7 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_BHHH_size_spec.csv @@ -13,11 +13,11 @@ 11,social,non_mandatory,0,0.52200000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 -14,work,trip,0,0.24014195523694865,0.00059525239425258316,0.0025343890988937991,0.0013168081587181715,0.75481634271693376,0.00059525239425293412,0,0,0,0 -15,escort,trip,0.0025746521059848222,0.31583599496207332,0,0.0063819245118687607,0,0,0,0.56721029531390887,0.10799713310616434,0,0 -16,shopping,trip,0.28745939613255439,0.71254060386744567,0,0,0,0,0,0,0,0,0 -17,eatout,trip,0,0.98157984232483642,0,0.018420157675163609,0,0,0,0,0,0,0 -18,othmaint,trip,0.066897386356299673,0.76728057159935903,0,0.16582204204434134,0,0,0,0,0,0,0 -19,social,trip,0.028735588735319624,0.90003600813919549,0,0.071228403125484938,0,0,0,0,0,0,0 -20,othdiscr,trip,0.27326163859230651,0.71190812297572337,0,0.0026878884184924783,0.0094544615949851765,0,0,0,0.0026878884184924428,0,0 -21,univ,trip,0.16785552148845903,0,0,0,0,0,0,0,0,0.41607223925575049,0.41607223925579045 +14,work,trip,0,0.50988404412746136,2.8830314727604896e-146,0,1.2350245131417982e-12,0.48708399966352267,0.0030319562077810091,0,0,0,0 +15,escort,trip,0.99999999999752021,4.6306836616861319e-13,0,1.8807680387063182e-13,0,0,0,1.4480163162588933e-12,3.8063890886682389e-13,0,0 +16,shopping,trip,0.99999999865706501,1.3429349752304603e-09,0,0,0,0,0,0,0,0,0 +17,eatout,trip,0,1,0,0,0,0,0,0,0,0,0 +18,othmaint,trip,0.99999999998646205,9.0646768310272159e-12,0,4.4735228850332918e-12,0,0,0,0,0,0,0 +19,social,trip,0.99999999999998024,1.5851156966866637e-14,0,3.8443449490946144e-15,0,0,0,0,0,0,0 +20,othdiscr,trip,0.96881871015685461,0.031181191433995798,0,0,0,0,0,0,9.8409149668972833e-08,0,0 +21,univ,trip,1,0,0,0,0,0,0,0,0,4.8326974397473536e-21,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_loglike.csv deleted file mode 100644 index 7bed7a2ee..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_trip_destination_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-27955.701284580879,-12569.486100216422 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_loglike.csv new file mode 100644 index 000000000..4068e18c5 --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_loglike.csv @@ -0,0 +1,2 @@ +,loglike_prior,loglike_converge +0,-8694.1663931267794,-7268.5499545875718 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_size_spec.csv similarity index 72% rename from activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_size_spec.csv rename to activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_size_spec.csv index b568bafc7..2ef299a31 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_SLSQP_size_spec.csv @@ -1,8 +1,8 @@ ,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE -0,work_low,workplace,0,0.04331096924066484,0.17606247084331519,0.37453642466033488,0.16935644669165648,0.000968861288590913,0.23576482727543777,0,0,0,0 -1,work_med,workplace,0,0.11999183383359351,0.14366373395357587,0.25125860903337882,0.079402445282216183,0.0024785834941433989,0.40320479440309209,0,0,0,0 -2,work_high,workplace,0,0.15790294154771911,0.19045576988955706,0.29641460514585227,0.1682066889662423,0.0063903077215986892,0.18062968672903063,0,0,0,0 -3,work_veryhigh,workplace,0,0.062641019242734242,0.11667678718376452,0.13342796655219047,0.056368476597385232,0.51025642529636983,0.12062932512755588,0,0,0,0 +0,work_low,workplace,0,0.81009695995589714,0.015566120986122242,0.038205865646079792,0.059310593251792124,0.061254339173986733,0.015566120986122242,0,0,0,0 +1,work_med,workplace,0,0.8281013406144393,0.017105484027381986,0.031082288899413148,0.052366292140338909,0.054239110291044855,0.017105484027382,0,0,0,0 +2,work_high,workplace,0,0.83264652845133025,0.018762949054789986,0.021130105260407248,0.064579726133974238,0.044117742044708114,0.018762949054789986,0,0,0,0 +3,work_veryhigh,workplace,0,0.85877445882802128,0.022889127413081023,0.032513950668635973,0.027093642194477335,0.035839693482703265,0.022889127413081023,0,0,0,0 4,university,school,0,0,0,0,0,0,0,0,0,0.59199999999999997,0.40799999999999997 5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_loglike.csv deleted file mode 100644 index 71e9b13b1..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_loc_workplace_location_loglike.csv +++ /dev/null @@ -1,2 +0,0 @@ -,loglike_prior,loglike_converge -0,-13535.154991016063,-13520.930381371694 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_atwork_subtour_destination_BHHH_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_atwork_subtour_destination_BHHH_None_.csv index f40a770d1..69549a887 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_location_model_atwork_subtour_destination_BHHH_None_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_atwork_subtour_destination_BHHH_None_.csv @@ -1,11 +1,11 @@ -,value,initvalue,nullvalue,minimum,maximum,best -atwork_HEREMPN,-1.7073243906685389,-1.3547956940605197,0,-6,6,-1.7073243906685389 -atwork_RETEMPN,-0.29840603581475661,-0.29840603581475661,0,-0.29840603581475661,-0.29840603581475661,-0.29840603581475661 -coef_distance_piecewise_linear_for_15_plus_miles,-0.20450000000000218,-0.20449999999999999,0,-25,25,-0.20450000000000218 -coef_distance_piecewise_linear_from_0_to_1_miles,-1.3641542578406347,-0.79259999999999997,0,-25,25,-1.3641542578406347 -coef_distance_piecewise_linear_from_1_to_2_miles,-0.73953227083074224,-0.79259999999999997,0,-25,25,-0.73953227083074224 -coef_distance_piecewise_linear_from_2_to_5_miles,-0.50452550250971084,-0.51970000000000005,0,-25,25,-0.50452550250971084 -coef_distance_piecewise_linear_from_5_to_15_miles,-0.073402957716087874,-0.20449999999999999,0,-25,25,-0.073402957716087874 -coef_mode_choice_logsum,0.50327067752307442,0.51359999999999995,0,-25,25,0.50327067752307442 -coef_no_attractions_atwork_size_variable_is_0,-999,-999,0,-999,-999,-999 -coef_sample_of_alternatives_correction_factor,1,1,0,1,1,1 +param_name,value,best,initvalue,nullvalue +atwork_HEREMPN,-3.389364816281855,-3.389364816281855,-1.3547956943511963,0 +atwork_RETEMPN,-0.29840603470802307,-0.29840603470802307,-0.29840603470802307,0 +coef_distance_piecewise_linear_for_15_plus_miles,-0.20450000464916254,-0.20450000464916254,-0.20450000464916229,0 +coef_distance_piecewise_linear_from_0_to_1_miles,-0.40672843393342367,-0.40672843393342367,-0.79259997606277466,0 +coef_distance_piecewise_linear_from_1_to_2_miles,0.46709869805144771,0.46709869805144771,-0.79259997606277466,0 +coef_distance_piecewise_linear_from_2_to_5_miles,0.11788881847828234,0.11788881847828234,-0.51969999074935913,0 +coef_distance_piecewise_linear_from_5_to_15_miles,0.25609050297480096,0.25609050297480096,-0.20450000464916229,0 +coef_mode_choice_logsum,0.73082605315228077,0.73082605315228077,0.51359999179840088,0 +coef_no_attractions_atwork_size_variable_is_0,-999,-999,-999,0 +coef_sample_of_alternatives_correction_factor,1,1,1,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_non_mandatory_tour_destination_SLSQP_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_non_mandatory_tour_destination_SLSQP_None_.csv index e771c163a..20b622582 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_location_model_non_mandatory_tour_destination_SLSQP_None_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_non_mandatory_tour_destination_SLSQP_None_.csv @@ -1,36 +1,36 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -0,0,0,0,0,0,0 -1,1,1,1,1,1,1 -coef_eatout_dist_0_2,-0.84467402735490316,-0.56089999999999995,0,-25,25,-0.84467402735490316 -coef_eatout_dist_2_5,-0.19454520781373841,-0.31919999999999998,0,-25,25,-0.19454520781373841 -coef_eatout_dist_5_plus,-0.24629159495698957,-0.12379999999999999,0,-25,25,-0.24629159495698957 -coef_escort_dist_0_2,0.2228884413970586,-0.14990000000000001,0,-25,25,0.2228884413970586 -coef_escort_dist_2_5,-0.81521338400578147,-0.86709999999999998,0,-25,25,-0.81521338400578147 -coef_escort_dist_5_plus,-0.2563656478267789,-0.2137,0,-25,25,-0.2563656478267789 -coef_mode_logsum,0.65403821794149997,0.67549999999999999,0,-25,25,0.65403821794149997 -coef_othdiscr_dist_0_2,-0.18332164122229277,-0.16769999999999999,0,-25,25,-0.18332164122229277 -coef_othdiscr_dist_2_5,-0.57243431566525749,-0.4955,0,-25,25,-0.57243431566525749 -coef_othdiscr_dist_5_plus,0.022109773636770347,-0.1193,0,-25,25,0.022109773636770347 -coef_othmaint_dist_2_5,-0.56157171580357979,-0.60550000000000004,0,-25,25,-0.56157171580357979 -coef_othmaint_dist_5_plus,-0.22835432716850948,-0.10929999999999999,0,-25,25,-0.22835432716850948 -coef_shopping_dist_2_5,-0.62326413831589389,-0.5655,0,-25,25,-0.62326413831589389 -coef_shopping_dist_5_plus,-0.15909882569148343,-0.1832,0,-25,25,-0.15909882569148343 -coef_social_dist_2_5,-0.22738363386509225,-0.34849999999999998,0,-25,25,-0.22738363386509225 -coef_social_dist_5_plus,-0.17253037782714531,-0.13059999999999999,0,-25,25,-0.17253037782714531 -eatout_HEREMPN,-0.93175594508470749,-1.3547956940605197,0,-6,6,-0.93175594508470749 -eatout_RETEMPN,-0.29840603581475661,-0.29840603581475661,0,-0.29840603581475661,-0.29840603581475661,-0.29840603581475661 -escort_AGE0519,-1.1709029084521012,-0.7657178733947807,0,-6,6,-1.1709029084521012 -escort_HEREMPN,-2.4523610869729757,-1.9379419794061366,0,-6,6,-2.4523610869729757 -escort_HSENROLL,-3.3024337875479479,-1.7957674906255938,0,-6,6,-3.3024337875479479 -escort_RETEMPN,-1.4916548767777169,-1.4916548767777169,0,-1.4916548767777169,-1.4916548767777169,-1.4916548767777169 -othdiscr_HEREMPN,-1.6192946896579288,-1.3019532126861397,0,-6,6,-1.6192946896579288 -othdiscr_HSENROLL,-2.8175790455412613,-2.322787800311565,0,-6,6,-2.8175790455412613 -othdiscr_OTHEMPN,-2.264214574744007,-1.8018098050815563,0,-6,6,-2.264214574744007 -othdiscr_RETEMPN,-1.4536083464363203,-1.5511690043101247,0,-6,6,-1.4536083464363203 -othdiscr_TOTHH,-1.3783261914707137,-1.3783261914707137,0,-1.3783261914707137,-1.3783261914707137,-1.3783261914707137 -othmaint_HEREMPN,-0.42083070691744962,-0.65778003672265395,0,-6,6,-0.42083070691744962 -othmaint_RETEMPN,-0.72981116493153675,-0.72981116493153675,0,-0.72981116493153675,-0.72981116493153675,-0.72981116493153675 -shopping_RETEMPN,0,0,0,0,0,0 -social_HEREMPN,-0.31321849637618082,-0.73814454649068106,0,-6,6,-0.31321849637618082 -social_RETEMPN,-0.65008769109949827,-0.65008769109949827,0,-0.65008769109949827,-0.65008769109949827,-0.65008769109949827 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +0,0,0,0,0 +1,1,1,1,0 +coef_eatout_dist_0_2,-0.36241753757283562,-0.36241753757283562,-0.56089997291564941,0 +coef_eatout_dist_2_5,0.1455948784794848,0.1455948784794848,-0.31920000910758972,0 +coef_eatout_dist_5_plus,-0.10347949759758775,-0.10347949759758775,-0.12380000203847885,0 +coef_escort_dist_0_2,0.37311835505986723,0.37311835505986723,-0.14990000426769257,0 +coef_escort_dist_2_5,0.021780514441237811,0.021780514441237811,-0.86710000038146973,0 +coef_escort_dist_5_plus,-0.11719861112519546,-0.11719861112519546,-0.21369999647140503,0 +coef_mode_logsum,0.58058639629827868,0.58058639629827868,0.67549997568130493,0 +coef_othdiscr_dist_0_2,-0.034089264034826726,-0.034089264034826726,-0.16769999265670776,0 +coef_othdiscr_dist_2_5,-0.064582241662395776,-0.064582241662395776,-0.49549999833106995,0 +coef_othdiscr_dist_5_plus,0.12360016041678727,0.12360016041678727,-0.1193000003695488,0 +coef_othmaint_dist_2_5,0.047194485653217981,0.047194485653217981,-0.6054999828338623,0 +coef_othmaint_dist_5_plus,-0.070139812280223396,-0.070139812280223396,-0.10930000245571136,0 +coef_shopping_dist_2_5,-0.084141591614817768,-0.084141591614817768,-0.56550002098083496,0 +coef_shopping_dist_5_plus,0.023925641427879701,0.023925641427879701,-0.18320000171661377,0 +coef_social_dist_2_5,0.15872711881616419,0.15872711881616419,-0.34850001335144043,0 +coef_social_dist_5_plus,-0.056983193388194325,-0.056983193388194325,-0.13060000538825989,0 +eatout_HEREMPN,-2.5766963293863645,-2.5766963293863645,-1.3547956943511963,0 +eatout_RETEMPN,-0.29840603470802307,-0.29840603470802307,-0.29840603470802307,0 +escort_AGE0519,-1.504395034914503,-1.504395034914503,-0.76571786403656006,0 +escort_HEREMPN,-3.2913818539226063,-3.2913818539226063,-1.9379420280456543,0 +escort_HSENROLL,-6,-6,-1.7957675457000732,0 +escort_RETEMPN,-1.4916548728942871,-1.4916548728942871,-1.4916548728942871,0 +othdiscr_HEREMPN,-4.4871212668473426,-4.4871212668473426,-1.3019531965255737,0 +othdiscr_HSENROLL,-4.6282281748496779,-4.6282281748496779,-2.3227877616882324,0 +othdiscr_OTHEMPN,-2.5914769992848368,-2.5914769992848368,-1.8018097877502441,0 +othdiscr_RETEMPN,-2.0252368499435924,-2.0252368499435924,-1.5511690378189087,0 +othdiscr_TOTHH,-1.3783261775970459,-1.3783261775970459,-1.3783261775970459,0 +othmaint_HEREMPN,-3.3345464979357597,-3.3345464979357597,-0.65778005123138428,0 +othmaint_RETEMPN,-0.72981119155883789,-0.72981119155883789,-0.72981119155883789,0 +shopping_RETEMPN,0,0,0,0 +social_HEREMPN,-3.1468133266863965,-3.1468133266863965,-0.73814451694488525,0 +social_RETEMPN,-0.65008771419525146,-0.65008771419525146,-0.65008771419525146,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_BHHH_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_BHHH_None_.csv new file mode 100644 index 000000000..33b657c2c --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_BHHH_None_.csv @@ -0,0 +1,21 @@ +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_grade_dist_0_1,0.080031235198373782,0.080031235198373782,-1.6418999433517456,0 +coef_grade_dist_15_up,-0.046010368210409304,-0.046010368210409304,-0.046000000089406967,0 +coef_grade_dist_5_15,0.011795679963699891,0.011795679963699891,-0.20309999585151672,0 +coef_high_dist_0_1,-0.48267138976026713,-0.48267138976026713,-0.95230001211166382,0 +coef_high_dist_15_up,-0.18818654818448871,-0.18818654818448871,-0.18819999694824219,0 +coef_high_dist_5_15,-0.12203943917498229,-0.12203943917498229,-0.19300000369548798,0 +coef_high_grade_dist_1_2,-0.2740077638163641,-0.2740077638163641,-0.56999999284744263,0 +coef_high_grade_dist_2_5,-0.12717991662132286,-0.12717991662132286,-0.56999999284744263,0 +coef_mode_logsum,0.28675535602711366,0.28675535602711366,0.53579998016357422,0 +coef_univ_dist_0_1,-0.20246864835878667,-0.20246864835878667,-3.2451000213623047,0 +coef_univ_dist_15_up,-0.072999830047635036,-0.072999830047635036,-0.072999998927116394,0 +coef_univ_dist_1_2,-0.50654663083945994,-0.50654663083945994,-2.7011001110076904,0 +coef_univ_dist_2_5,0.095856729554638809,0.095856729554638809,-0.57069998979568481,0 +coef_univ_dist_5_15,-0.1412133832985831,-0.1412133832985831,-0.50019997358322144,0 +gradeschool_AGE0519,0,0,0,0 +highschool_HSENROLL,0,0,0,0 +university_COLLFTE,-0.52424865961074829,-0.52424865961074829,-0.52424865961074829,0 +university_COLLPTE,-1275009.279056468,-1275009.279056468,-0.89648813009262085,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_SLSQP_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_SLSQP_None_.csv index a8d3375ab..1f4a5bf90 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_SLSQP_None_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_school_location_SLSQP_None_.csv @@ -1,21 +1,21 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -coef_grade_dist_0_1,-1.8247870973053,-1.6418999999999999,0,-25,25,-1.8247870973053 -coef_grade_dist_15_up,-0.045999999999999999,-0.045999999999999999,0,-25,25,-0.045999999999999999 -coef_grade_dist_5_15,-0.14366307042924978,-0.2031,0,-25,25,-0.14366307042924978 -coef_high_dist_0_1,-2.1639997502226276,-0.95230000000000004,0,-25,25,-2.1639997502226276 -coef_high_dist_15_up,-0.18820000000000001,-0.18820000000000001,0,-25,25,-0.18820000000000001 -coef_high_dist_5_15,-0.10033338505701977,-0.193,0,-25,25,-0.10033338505701977 -coef_high_grade_dist_1_2,-0.74768688779537662,-0.56999999999999995,0,-25,25,-0.74768688779537662 -coef_high_grade_dist_2_5,-0.66638573965332526,-0.56999999999999995,0,-25,25,-0.66638573965332526 -coef_mode_logsum,0.37504471661044059,0.53580000000000005,0,-25,25,0.37504471661044059 -coef_univ_dist_0_1,-3.3138919948169607,-3.2450999999999999,0,-25,25,-3.3138919948169607 -coef_univ_dist_15_up,-0.072999999999999995,-0.072999999999999995,0,-25,25,-0.072999999999999995 -coef_univ_dist_1_2,-2.8752075620640434,-2.7010999999999998,0,-25,25,-2.8752075620640434 -coef_univ_dist_2_5,-0.45544418705038636,-0.57069999999999999,0,-25,25,-0.45544418705038636 -coef_univ_dist_5_15,-0.57189713873239967,-0.50019999999999998,0,-25,25,-0.57189713873239967 -gradeschool_AGE0519,0,0,0,0,0,0 -highschool_HSENROLL,0,0,0,0,0,0 -university_COLLFTE,-0.52424864409813143,-0.52424864409813143,0,-0.52424864409813143,-0.52424864409813143,-0.52424864409813143 -university_COLLPTE,-1.2091557399547264,-0.89648810457797545,0,-6,6,-1.2091557399547264 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_grade_dist_0_1,0.097116326549615037,0.097116329571923371,-1.6418999433517456,0 +coef_grade_dist_15_up,-0.046000000089406967,-0.046000000089406967,-0.046000000089406967,0 +coef_grade_dist_5_15,0.012514539653739084,0.012514539708327558,-0.20309999585151672,0 +coef_high_dist_0_1,-0.4391430660668546,-0.43914306516185797,-0.95230001211166382,0 +coef_high_dist_15_up,-0.18819999694824219,-0.18819999694824219,-0.18819999694824219,0 +coef_high_dist_5_15,-0.12223669864939674,-0.12223669850105187,-0.19300000369548798,0 +coef_high_grade_dist_1_2,-0.27721668286846185,-0.27721668361053109,-0.56999999284744263,0 +coef_high_grade_dist_2_5,-0.12625067319470287,-0.12625067314690649,-0.56999999284744263,0 +coef_mode_logsum,0.28931317404209661,0.28931317414746177,0.53579998016357422,0 +coef_univ_dist_0_1,-0.34044181122123379,-0.34044180684505398,-3.2451000213623047,0 +coef_univ_dist_15_up,-0.072999998927116394,-0.072999998927116394,-0.072999998927116394,0 +coef_univ_dist_1_2,-0.42252956674554115,-0.42252956729334301,-2.7011001110076904,0 +coef_univ_dist_2_5,0.092094672169464362,0.092094672140662429,-0.57069998979568481,0 +coef_univ_dist_5_15,-0.14137251312653148,-0.14137251329149328,-0.50019997358322144,0 +gradeschool_AGE0519,0,0,0,0 +highschool_HSENROLL,0,0,0,0 +university_COLLFTE,-0.52424865961074829,-0.52424865961074829,-0.52424865961074829,0 +university_COLLPTE,-6,-6,-0.89648813009262085,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_BHHH_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_BHHH_None_.csv new file mode 100644 index 000000000..23e3026cf --- /dev/null +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_BHHH_None_.csv @@ -0,0 +1,48 @@ +param_name,value,best,initvalue,nullvalue +coef_UNAVAILABLE,-999,-999,-999,0 +coef_distance_joint,-0.30113542396064802,-0.30113542396064802,-0.12380000203847885,0 +coef_mode_choice_logsum,0.082682967088151746,0.082682967088151746,1.8209999799728394,0 +coef_one,1,1,1,0 +coef_prox_dest_outbound_work,6.4877761350612664,6.4877761350612664,-0.25999999046325684,0 +coef_prox_home_inbound_work,-0.42511543980575345,-0.42511543980575345,-0.15000000596046448,0 +coef_prox_home_outbound_work,6.4721898798728912,6.4721898798728912,-0.37999999523162842,0 +coef_util_distance_atwork,-0.12262386654203787,-0.12262386654203787,-0.12233459949493408,0 +coef_util_distance_eatout,-0.31527866138216842,-0.31527866138216842,-0.10289999842643738,0 +coef_util_distance_escort,-0.20896432406414306,-0.20896432406414306,-0.14910000562667847,0 +coef_util_distance_othdiscr,-0.32948687106831859,-0.32948687106831859,-0.12617222964763641,0 +coef_util_distance_othmaint,-0.18983651887636419,-0.18983651887636419,-0.096199996769428253,0 +coef_util_distance_school,-0.10589786663451535,-0.10589786663451535,-0.10559999942779541,0 +coef_util_distance_shopping,-0.31439120424553951,-0.31439120424553951,-0.11919999867677689,0 +coef_util_distance_social,-0.21252031645681738,-0.21252031645681738,-0.13289999961853027,0 +coef_util_distance_univ,-0.16366566512380015,-0.16366566512380015,-0.061299998313188553,0 +coef_util_distance_work_inbound,-6.9206223055934686,-6.9206223055934686,0.14781327545642853,0 +coef_util_distance_work_outbound,-0.15694164906466096,-0.15694164906466096,-0.049725916236639023,0 +eatout_HEREMPN,-819.1055252552693,-819.1055252552693,-1.3547956943511963,0 +eatout_RETEMPN,-0.29840603470802307,-0.29840603470802307,-0.29840603470802307,0 +escort_AGE0519,-34.168581928799881,-34.168581928799881,-0.76787072420120239,0 +escort_HEREMPN,-36.209681359186099,-36.209681359186099,-1.9379420280456543,0 +escort_HSENROLL,-35.504680589841293,-35.504680589841293,-1.7957675457000732,0 +escort_RETEMPN,-35.308657067519476,-35.308657067519476,-1.4916548728942871,0 +escort_TOTHH,-6.9077553749084473,-6.9077553749084473,-6.9077553749084473,0 +othdiscr_HEREMPN,-1590.2443769893835,-1590.2443769893835,-1.3019531965255737,0 +othdiscr_HSENROLL,-17.480780456151027,-17.480780456151027,-2.3227877616882324,0 +othdiscr_OTHEMPN,-4066.3792692241386,-4066.3792692241386,-1.8018097877502441,0 +othdiscr_RETEMPN,-4.8145886079817819,-4.8145886079817819,-1.5511690378189087,0 +othdiscr_TOTHH,-1.3783261775970459,-1.3783261775970459,-1.3783261775970459,0 +othmaint_HEREMPN,-33.040600275142353,-33.040600275142353,-0.65778005123138428,0 +othmaint_RETEMPN,-32.334391297442174,-32.334391297442174,-0.73188799619674683,0 +othmaint_TOTHH,-6.9077553749084473,-6.9077553749084473,-6.9077553749084473,0 +shopping_RETEMPN,-27.336163711692908,-27.336163711692908,-0.0010005002841353416,0 +shopping_TOTHH,-6.9077553749084473,-6.9077553749084473,-6.9077553749084473,0 +social_HEREMPN,-40.099928545719862,-40.099928545719862,-0.73814451694488525,0 +social_RETEMPN,-38.683289277404818,-38.683289277404818,-0.65200525522232056,0 +social_TOTHH,-6.9077553749084473,-6.9077553749084473,-6.9077553749084473,0 +univ_COLLFTE,-53.686637539870517,-53.686637539870517,-0.52424865961074829,0 +univ_COLLPTE,-18324.145024591242,-18324.145024591242,-0.89648813009262085,0 +univ_TOTHH,-6.9077553749084473,-6.9077553749084473,-6.9077553749084473,0 +work_AGREMPN,-0.045746743293575393,-0.045746743293575393,0,0 +work_FPSEMPN,-334.44500929829275,-334.44500929829275,0,0 +work_HEREMPN,-11947.426957365406,-11947.426957365406,0,0 +work_MWTEMPN,-5.1249753110793721,-5.1249753110793721,0,0 +work_OTHEMPN,-26.746358353776838,-26.746358353776838,0,0 +work_RETEMPN,0,0,0,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_SLSQP_0_12_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_SLSQP_0_12_.csv deleted file mode 100644 index abe98d47d..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_location_model_trip_destination_SLSQP_0_12_.csv +++ /dev/null @@ -1,48 +0,0 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_UNAVAILABLE,-999,-999,0,-999,-999,-999 -coef_distance_joint,-0.37640163363394014,-0.12379999999999999,0,-25,25,-0.37640163363394014 -coef_mode_choice_logsum,0.16302637352162752,1.821,0,-25,25,0.16302637352162752 -coef_one,1,1,0,1,1,1 -coef_prox_dest_outbound_work,-0.59976096803081336,-0.26000000000000001,0,-25,25,-0.59976096803081336 -coef_prox_home_inbound_work,-0.17411187178992643,-0.14999999999999999,0,-25,25,-0.17411187178992643 -coef_prox_home_outbound_work,-0.76295690223363544,-0.38,0,-25,25,-0.76295690223363544 -coef_util_distance_atwork,-0.122334597,-0.122334597,0,-25,25,-0.122334597 -coef_util_distance_eatout,-0.36619050394180647,-0.10290000000000001,0,-25,25,-0.36619050394180647 -coef_util_distance_escort,-0.33778430073643445,-0.14910000000000001,0,-25,25,-0.33778430073643445 -coef_util_distance_othdiscr,-0.40879077774005879,-0.126172224,0,-25,25,-0.40879077774005879 -coef_util_distance_othmaint,-0.2579687786027548,-0.096199999999999994,0,-25,25,-0.2579687786027548 -coef_util_distance_school,-0.1056,-0.1056,0,-25,25,-0.1056 -coef_util_distance_shopping,-0.39048426507116651,-0.1192,0,-25,25,-0.39048426507116651 -coef_util_distance_social,-0.33876758749031255,-0.13289999999999999,0,-25,25,-0.33876758749031255 -coef_util_distance_univ,-0.18638287666609779,-0.0613,0,-25,25,-0.18638287666609779 -coef_util_distance_work_inbound,0.14549074690265271,0.147813278663948,0,-25,25,0.14549074690265271 -coef_util_distance_work_outbound,-0.30050379136271688,-0.049725915742290003,0,-25,25,-0.30050379136271688 -eatout_HEREMPN,-4.2741238026831576,-1.3547956940605197,0,-6,6,-4.2741238026831576 -eatout_RETEMPN,-0.29840603581475661,-0.29840603581475661,0,-0.29840603581475661,-0.29840603581475661,-0.29840603581475661 -escort_AGE0519,-1.5127395733276923,-0.76787072675588175,0,-6,6,-1.5127395733276923 -escort_HEREMPN,-5.9999999999999591,-1.9379419794061366,0,-6,6,-5.9999999999999591 -escort_HSENROLL,-3.1713650180398978,-1.7957674906255938,0,-6,6,-3.1713650180398978 -escort_RETEMPN,-2.0982466239249806,-1.4916548767777169,0,-6,6,-2.0982466239249806 -escort_TOTHH,-6.9077552789821368,-6.9077552789821368,0,-6.9077552789821368,-6.9077552789821368,-6.9077552789821368 -othdiscr_HEREMPN,-5.9999999999999867,-1.3019532126861397,0,-6,6,-5.9999999999999867 -othdiscr_HSENROLL,-6,-2.322787800311565,0,-6,6,-6 -othdiscr_OTHEMPN,-4.7422691542793025,-1.8018098050815563,0,-6,6,-4.7422691542793025 -othdiscr_RETEMPN,-0.42080704850071809,-1.5511690043101247,0,-6,6,-0.42080704850071809 -othdiscr_TOTHH,-1.3783261914707137,-1.3783261914707137,0,-1.3783261914707137,-1.3783261914707137,-1.3783261914707137 -othmaint_HEREMPN,-5.9999999999977494,-0.65778003672265395,0,-6,6,-5.9999999999977494 -othmaint_RETEMPN,-4.4680626390475311,-0.73188800887637595,0,-6,6,-4.4680626390475311 -othmaint_TOTHH,-6.9077552789821368,-6.9077552789821368,0,-6.9077552789821368,-6.9077552789821368,-6.9077552789821368 -shopping_RETEMPN,-5.9999999999990461,-0.0010005003335835344,0,-6,6,-5.9999999999990461 -shopping_TOTHH,-6.9077552789821368,-6.9077552789821368,0,-6.9077552789821368,-6.9077552789821368,-6.9077552789821368 -social_HEREMPN,-5.9999999999996891,-0.73814454649068106,0,-6,6,-5.9999999999996891 -social_RETEMPN,-3.4634568876043041,-0.65200523722877013,0,-6,6,-3.4634568876043041 -social_TOTHH,-6.9077552789821368,-6.9077552789821368,0,-6.9077552789821368,-6.9077552789821368,-6.9077552789821368 -univ_COLLFTE,-5.9999999999981588,-0.52424864409813143,0,-6,6,-5.9999999999981588 -univ_COLLPTE,-5.9999999999980629,-0.89648810457797545,0,-6,6,-5.9999999999980629 -univ_TOTHH,-6.9077552789821368,-6.9077552789821368,0,-6.9077552789821368,-6.9077552789821368,-6.9077552789821368 -work_AGREMPN,1.1452442363377451,0,0,-6,6,1.1452442363377451 -work_FPSEMPN,-5.9999999999998632,0,0,-6,6,-5.9999999999998632 -work_HEREMPN,-4.5512776072689656,0,0,-6,6,-4.5512776072689656 -work_MWTEMPN,-5.9999999999992735,0,0,-6,6,-5.9999999999992735 -work_OTHEMPN,-5.2060194818516452,0,0,-6,6,-5.2060194818516452 -work_RETEMPN,0,0,0,0,0,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_location_model_workplace_location_SLSQP_None_.csv b/activitysim/estimation/test/test_larch_estimation/test_location_model_workplace_location_SLSQP_None_.csv index 4fbab9890..d4b8d728d 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_location_model_workplace_location_SLSQP_None_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_location_model_workplace_location_SLSQP_None_.csv @@ -1,35 +1,35 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -coef_dist_0_1,-1.0822922946274103,-0.84279999999999999,0,-25,25,-1.0822922946274103 -coef_dist_0_5_high,0.1207879915621165,0.14999999999999999,0,-25,25,0.1207879915621165 -coef_dist_15_up,-0.091700000000000004,-0.091700000000000004,0,-25,25,-0.091700000000000004 -coef_dist_1_2,-0.24766620079389307,-0.31040000000000001,0,-25,25,-0.24766620079389307 -coef_dist_2_5,-0.3685512775196465,-0.37830000000000003,0,-25,25,-0.3685512775196465 -coef_dist_5_15,-0.15169975841932976,-0.1285,0,-25,25,-0.15169975841932976 -coef_dist_5_up_high,-0.015068815366553389,0.02,0,-25,25,-0.015068815366553389 -coef_mode_logsum,0.1608428973358158,0.29999999999999999,0,-25,25,0.1608428973358158 -work_high_AGREMPN,-5.414473039484391,-5.1159958097540823,0,-6,6,-5.414473039484391 -work_high_FPSEMPN,-2.0198354749074623,-1.575036485716768,0,-6,6,-2.0198354749074623 -work_high_HEREMPN,-1.5774962961301324,-1.258781040820931,0,-6,6,-1.5774962961301324 -work_high_MWTEMPN,-2.0728064576402221,-1.4312917270506265,0,-6,6,-2.0728064576402221 -work_high_OTHEMPN,-2.1440619487784449,-1.870802676568508,0,-6,6,-2.1440619487784449 -work_high_RETEMPN,-2.2072749131897207,-2.2072749131897207,0,-2.2072749131897207,-2.2072749131897207,-2.2072749131897207 -work_low_AGREMPN,-5.8479826351063204,-4.6051701859880909,0,-6,6,-5.8479826351063204 -work_low_FPSEMPN,-0.64550992870675994,-1.6450650900772514,0,-6,6,-0.64550992870675994 -work_low_HEREMPN,0.10934025159883133,-0.95972028980149104,0,-6,6,0.10934025159883133 -work_low_MWTEMPN,-0.35351399513998311,-1.8078888511579385,0,-6,6,-0.35351399513998311 -work_low_OTHEMPN,-0.68434316293298214,-2.120263536200091,0,-6,6,-0.68434316293298214 -work_low_RETEMPN,-2.0479428746204649,-2.0479428746204649,0,-2.0479428746204649,-2.0479428746204649,-2.0479428746204649 -work_med_AGREMPN,-6,-4.8283137373023015,0,-6,6,-6 -work_med_FPSEMPN,-1.9402118373687092,-1.6245515502441485,0,-6,6,-1.9402118373687092 -work_med_HEREMPN,-1.3812045016840873,-1.1239300966523995,0,-6,6,-1.3812045016840873 -work_med_MWTEMPN,-0.90824261771266779,-1.5606477482646683,0,-6,6,-0.90824261771266779 -work_med_OTHEMPN,-2.533158060495702,-1.9732813458514451,0,-6,6,-2.533158060495702 -work_med_RETEMPN,-2.120263536200091,-2.120263536200091,0,-2.120263536200091,-2.120263536200091,-2.120263536200091 -work_veryhigh_AGREMPN,-0.27766271475654764,-5.521460917862246,0,-6,6,-0.27766271475654764 -work_veryhigh_FPSEMPN,-1.7531684994723506,-1.3093333199837622,0,-6,6,-1.7531684994723506 -work_veryhigh_HEREMPN,-1.6190143529862893,-1.422958345491482,0,-6,6,-1.6190143529862893 -work_veryhigh_MWTEMPN,-1.7198536938187046,-1.4024237430497744,0,-6,6,-1.7198536938187046 -work_veryhigh_OTHEMPN,-2.4806660321461727,-1.9241486572738007,0,-6,6,-2.4806660321461727 -work_veryhigh_RETEMPN,-2.375155785828881,-2.375155785828881,0,-2.375155785828881,-2.375155785828881,-2.375155785828881 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_dist_0_1,-0.29614981943016305,-0.29614981943016305,-0.84280002117156982,0 +coef_dist_0_5_high,-0.037934685148704593,-0.037934685148704593,0.15000000596046448,0 +coef_dist_15_up,-0.091700002551078796,-0.091700002551078796,-0.091700002551078796,0 +coef_dist_1_2,0.36470038809157851,0.36470038809157851,-0.31040000915527344,0 +coef_dist_2_5,0.074882919278809829,0.074882919278809829,-0.3783000111579895,0 +coef_dist_5_15,0.042000918183646346,0.042000918183646346,-0.12849999964237213,0 +coef_dist_5_up_high,-0.09087337502871097,-0.09087337502871097,0.019999999552965164,0 +coef_mode_logsum,0.30896144806031556,0.30896144806031556,0.30000001192092896,0 +work_high_AGREMPN,-5.1450221148210131,-5.1450221148210131,-5.1159958839416504,0 +work_high_FPSEMPN,-6,-6,-1.5750365257263184,0 +work_high_HEREMPN,-5.8811853171285584,-5.8811853171285584,-1.2587810754776001,0 +work_high_MWTEMPN,-6,-6,-1.4312916994094849,0 +work_high_OTHEMPN,-4.7639836057101634,-4.7639836057101634,-1.870802640914917,0 +work_high_RETEMPN,-2.2072749137878418,-2.2072749137878418,-2.2072749137878418,0 +work_low_AGREMPN,-4.6300621303951566,-4.6300621303951566,-4.6051702499389648,0 +work_low_FPSEMPN,-6,-6,-1.6450650691986084,0 +work_low_HEREMPN,-5.1021077661983387,-5.1021077661983387,-0.95972031354904175,0 +work_low_MWTEMPN,-6,-6,-1.8078888654708862,0 +work_low_OTHEMPN,-4.6623088926077152,-4.6623088926077152,-2.1202635765075684,0 +work_low_RETEMPN,-2.0479428768157959,-2.0479428768157959,-2.0479428768157959,0 +work_med_AGREMPN,-4.8459968751410516,-4.8459968751410516,-4.8283138275146484,0 +work_med_FPSEMPN,-6,-6,-1.62455153465271,0 +work_med_HEREMPN,-5.4027609472499369,-5.4027609472499369,-1.1239300966262817,0 +work_med_MWTEMPN,-5.9999999999999991,-5.9999999999999991,-1.56064772605896,0 +work_med_OTHEMPN,-4.8811360108806872,-4.8811360108806872,-1.9732813835144043,0 +work_med_RETEMPN,-2.1202635765075684,-2.1202635765075684,-2.1202635765075684,0 +work_veryhigh_AGREMPN,-5.5516059766686876,-5.5516059766686876,-5.521461009979248,0 +work_veryhigh_FPSEMPN,-6,-6,-1.309333324432373,0 +work_veryhigh_HEREMPN,-5.6489927637825792,-5.6489927637825792,-1.4229583740234375,0 +work_veryhigh_MWTEMPN,-6,-6,-1.4024237394332886,0 +work_veryhigh_OTHEMPN,-5.8313629173672439,-5.8313629173672439,-1.9241486787796021,0 +work_veryhigh_RETEMPN,-2.3751556873321533,-2.3751556873321533,-2.3751556873321533,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_school_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_school_loglike.csv index e76a45b3f..13b40bf6a 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_school_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_school_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-2475.6453326598094,-2344.7409183750583 +0,-2372.124053104777,-2329.0008675965573 diff --git a/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_work_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_work_loglike.csv index 6970d3e66..66fdd2bfd 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_work_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_mandatory_tour_scheduling_work_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-9138.134506637969,-8404.2487574734187 +0,-8343.7438769575056,-8319.0773809188413 diff --git a/activitysim/estimation/test/test_larch_estimation/test_non_mandatory_tour_scheduling_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_non_mandatory_tour_scheduling_loglike.csv index 3282b45e7..027ad8ce1 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_non_mandatory_tour_scheduling_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_non_mandatory_tour_scheduling_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-12772.911183835131,-9506.0541725800285 +0,-9330.0289068958136,-9291.4339963381062 diff --git a/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice.csv b/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice.csv index 5a8bf11db..95558980d 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice.csv @@ -1,36 +1,36 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -0,0,0,0,0,0,0 -1,1,1,1,1,1,1 -coef_eatout_dist_0_2,-0.76797916075917105,-0.56089999999999995,0,-25,25,-0.76797916075917105 -coef_eatout_dist_2_5,-0.22644636259204301,-0.31919999999999998,0,-25,25,-0.22644636259204301 -coef_eatout_dist_5_plus,-0.18814992028058361,-0.12379999999999999,0,-25,25,-0.18814992028058361 -coef_escort_dist_0_2,0.22669529391335932,-0.14990000000000001,0,-25,25,0.22669529391335932 -coef_escort_dist_2_5,-0.81349761658617425,-0.86709999999999998,0,-25,25,-0.81349761658617425 -coef_escort_dist_5_plus,-0.25505635884043121,-0.2137,0,-25,25,-0.25505635884043121 -coef_mode_logsum,0.66293335178956303,0.67549999999999999,0,-25,25,0.66293335178956303 -coef_othdiscr_dist_0_2,-0.20320115406190975,-0.16769999999999999,0,-25,25,-0.20320115406190975 -coef_othdiscr_dist_2_5,-0.55094376688046098,-0.4955,0,-25,25,-0.55094376688046098 -coef_othdiscr_dist_5_plus,-0.00014599013956733095,-0.1193,0,-25,25,-0.00014599013956733095 -coef_othmaint_dist_2_5,-0.57993229022084924,-0.60550000000000004,0,-25,25,-0.57993229022084924 -coef_othmaint_dist_5_plus,-0.22966135112433173,-0.10929999999999999,0,-25,25,-0.22966135112433173 -coef_shopping_dist_2_5,-0.62979386608506294,-0.5655,0,-25,25,-0.62979386608506294 -coef_shopping_dist_5_plus,-0.13065191570180024,-0.1832,0,-25,25,-0.13065191570180024 -coef_social_dist_2_5,-0.24518547406208724,-0.34849999999999998,0,-25,25,-0.24518547406208724 -coef_social_dist_5_plus,-0.19021662093061398,-0.13059999999999999,0,-25,25,-0.19021662093061398 -eatout_HEREMPN,-0.94688018419944264,-1.3547956940605197,0,-6,6,-0.94688018419944264 -eatout_RETEMPN,-0.29840603581475661,-0.29840603581475661,0,-0.29840603581475661,-0.29840603581475661,-0.29840603581475661 -escort_AGE0519,-1.1713218472625264,-0.7657178733947807,0,-6,6,-1.1713218472625264 -escort_HEREMPN,-2.4501503469929982,-1.9379419794061366,0,-6,6,-2.4501503469929982 -escort_HSENROLL,-3.3045642735486878,-1.7957674906255938,0,-6,6,-3.3045642735486878 -escort_RETEMPN,-1.4916548767777169,-1.4916548767777169,0,-1.4916548767777169,-1.4916548767777169,-1.4916548767777169 -othdiscr_HEREMPN,-1.5849006741800804,-1.3019532126861397,0,-6,6,-1.5849006741800804 -othdiscr_HSENROLL,-2.4667805407825685,-2.322787800311565,0,-6,6,-2.4667805407825685 -othdiscr_OTHEMPN,-2.3703426620470296,-1.8018098050815563,0,-6,6,-2.3703426620470296 -othdiscr_RETEMPN,-1.2385802852918961,-1.5511690043101247,0,-6,6,-1.2385802852918961 -othdiscr_TOTHH,-1.3783261914707137,-1.3783261914707137,0,-1.3783261914707137,-1.3783261914707137,-1.3783261914707137 -othmaint_HEREMPN,-0.66895307929197778,-0.65778003672265395,0,-6,6,-0.66895307929197778 -othmaint_RETEMPN,-0.72981116493153675,-0.72981116493153675,0,-0.72981116493153675,-0.72981116493153675,-0.72981116493153675 -shopping_RETEMPN,0,0,0,0,0,0 -social_HEREMPN,-0.3028654470570214,-0.73814454649068106,0,-6,6,-0.3028654470570214 -social_RETEMPN,-0.65008769109949827,-0.65008769109949827,0,-0.65008769109949827,-0.65008769109949827,-0.65008769109949827 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +0,0,0,0,0 +1,1,1,1,0 +coef_eatout_dist_0_2,-0.27121792391961891,-0.27121792391961891,-0.56089997291564941,0 +coef_eatout_dist_2_5,0.10608796923916697,0.10608796923916697,-0.31920000910758972,0 +coef_eatout_dist_5_plus,-0.030055040831786589,-0.030055040831786589,-0.12380000203847885,0 +coef_escort_dist_0_2,0.36566723960275005,0.36566723960275005,-0.14990000426769257,0 +coef_escort_dist_2_5,0.028378662901016108,0.028378662901016108,-0.86710000038146973,0 +coef_escort_dist_5_plus,-0.11708701992134836,-0.11708701992134836,-0.21369999647140503,0 +coef_mode_logsum,0.59887430720061385,0.59887430720061385,0.67549997568130493,0 +coef_othdiscr_dist_0_2,-0.034497995271121927,-0.034497995271121927,-0.16769999265670776,0 +coef_othdiscr_dist_2_5,-0.050531906736139574,-0.050531906736139574,-0.49549999833106995,0 +coef_othdiscr_dist_5_plus,0.10722115306679328,0.10722115306679328,-0.1193000003695488,0 +coef_othmaint_dist_2_5,0.021990226822960424,0.021990226822960424,-0.6054999828338623,0 +coef_othmaint_dist_5_plus,-0.069040145806240003,-0.069040145806240003,-0.10930000245571136,0 +coef_shopping_dist_2_5,-0.088053277034711469,-0.088053277034711469,-0.56550002098083496,0 +coef_shopping_dist_5_plus,0.053178032652148891,0.053178032652148891,-0.18320000171661377,0 +coef_social_dist_2_5,0.13875731050537282,0.13875731050537282,-0.34850001335144043,0 +coef_social_dist_5_plus,-0.093851542275907265,-0.093851542275907265,-0.13060000538825989,0 +eatout_HEREMPN,-2.6485746777114287,-2.6485746777114287,-1.3547956943511963,0 +eatout_RETEMPN,-0.29840603470802307,-0.29840603470802307,-0.29840603470802307,0 +escort_AGE0519,-1.5700822201838556,-1.5700822201838556,-0.76571786403656006,0 +escort_HEREMPN,-3.381566795567077,-3.381566795567077,-1.9379420280456543,0 +escort_HSENROLL,-5.5115296809721706,-5.5115296809721706,-1.7957675457000732,0 +escort_RETEMPN,-1.4916548728942871,-1.4916548728942871,-1.4916548728942871,0 +othdiscr_HEREMPN,-4.3767539149782362,-4.3767539149782362,-1.3019531965255737,0 +othdiscr_HSENROLL,-4.0323913073099753,-4.0323913073099753,-2.3227877616882324,0 +othdiscr_OTHEMPN,-2.6010090126387664,-2.6010090126387664,-1.8018097877502441,0 +othdiscr_RETEMPN,-1.8907979924961573,-1.8907979924961573,-1.5511690378189087,0 +othdiscr_TOTHH,-1.3783261775970459,-1.3783261775970459,-1.3783261775970459,0 +othmaint_HEREMPN,-3.5067524801333883,-3.5067524801333883,-0.65778005123138428,0 +othmaint_RETEMPN,-0.72981119155883789,-0.72981119155883789,-0.72981119155883789,0 +shopping_RETEMPN,0,0,0,0 +social_HEREMPN,-3.1930226314841379,-3.1930226314841379,-0.73814451694488525,0 +social_RETEMPN,-0.65008771419525146,-0.65008771419525146,-0.65008771419525146,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice_loglike.csv index 3d4d12de9..60449226e 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_nonmand_and_joint_tour_dest_choice_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-13284.574594749327,-13268.709190928732 +0,-8815.2207980563562,-8000.0090578510162 diff --git a/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq.csv b/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq.csv index c69badeb9..a5798dcda 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq.csv @@ -1,426 +1,426 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,0.3190372575850004,0.0298,0,,,0.3190372575850004 -coef_1_plus_eating_out_tours_constant,-1.0128556061868639,0.0097000000000000003,0,,,-1.0128556061868639 -coef_1_plus_maintenance_tours_constant,-2.8426429307763517,0.1202,0,,,-2.8426429307763517 -coef_1_plus_other_discretionary_tours_constant,10.543978753178383,0.74119999999999997,0,,,10.543978753178383 -coef_1_plus_shopping_tours_constant,7.1839137908242963,0.47739999999999999,0,,,7.1839137908242963 -coef_1_plus_visting_tours_constant,-0.3208195851541456,0.052200000000000003,0,,,-0.3208195851541456 -coef_2_plus_escort_tours_constant,0.60671030252342817,0.74019999999999997,0,,,0.60671030252342817 -coef_at_home_pre_driving_school_kid_and_escorting_tour,-0.92647632492670284,-0.27460000000000001,0,,,-0.92647632492670284 -coef_at_home_pre_school_kid_and_discretionary_tour,-0.65566150836617298,-0.4703,0,,,-0.65566150836617298 -coef_at_home_pre_school_kid_and_escorting_tour,-0.79299240501544976,-1.5674999999999999,0,,,-0.79299240501544976 -coef_auto_access_to_retail_and_discretionary,-1.0508623054596398,0.084400000000000003,0,,,-1.0508623054596398 -coef_auto_access_to_retail_and_maintenance,0.27881164131795588,0.074899999999999994,0,,,0.27881164131795588 -coef_auto_access_to_retail_and_shopping,-0.6308268427373509,0.1067,0,,,-0.6308268427373509 -coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,0.16837878665395392,0.13039999999999999,0,,,0.16837878665395392 -coef_female_and_escorting_tour,0.60135724689113756,0.18240000000000001,0,,,0.60135724689113756 -coef_female_and_tour_frequency_is_1,-0.31583892945263869,-0.076600000000000001,0,,,-0.31583892945263869 -coef_female_and_tour_frequency_is_2,-0.5828100966419405,-0.1062,0,,,-0.5828100966419405 -coef_female_and_tour_frequency_is_5,0.022734817568325703,-0.32740000000000002,0,,,0.022734817568325703 -coef_high_income_group_and_discretionary_tour,-0.060443076774255075,0.25650000000000001,0,,,-0.060443076774255075 -coef_high_income_group_and_eating_out_tour,0.72620905564966565,0.55810000000000004,0,,,0.72620905564966565 -coef_high_income_group_and_tour_frequency_is_1,1.1372979170796778,0.51890000000000003,0,,,1.1372979170796778 -coef_high_income_group_and_tour_frequency_is_2,2.2159303224114666,1.1335999999999999,0,,,2.2159303224114666 -coef_high_income_group_and_tour_frequency_is_5_plus,0.10501223044514314,1.3898999999999999,0,,,0.10501223044514314 -coef_high_income_group_and_visiting_tour,-0.86265476671748431,-0.24229999999999999,0,,,-0.86265476671748431 -coef_logged_maximum_residual_window_tour_frequency_is_1,1.3354533697510027,1.2562,0,,,1.3354533697510027 -coef_logged_maximum_residual_window_tour_frequency_is_2,1.4260046446625716,1.2867999999999999,0,,,1.4260046446625716 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,0.64024624278385667,1.3993,0,,,0.64024624278385667 -coef_mediumhigh_income_group_and_tour_frequency_is_1,1.0937153306192198,0.49809999999999999,0,,,1.0937153306192198 -coef_mediumhigh_income_group_and_tour_frequency_is_2,1.8148765360700809,0.83450000000000002,0,,,1.8148765360700809 -coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,1.0390643994599666,1.0213000000000001,0,,,1.0390643994599666 -coef_number_of_joint_eating_out_tours,-9.9809215555613431,-0.58660000000000001,0,,,-9.9809215555613431 -coef_number_of_mandatory_tours_and_tour_frequency_is_2,-1.4334081077188456,-0.88870000000000005,0,,,-1.4334081077188456 -coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-1.6366589797047477,-2.3342999999999998,0,,,-1.6366589797047477 -coef_presence_of_driving_school_kid_and_discretionary_tour,0.38403906373496743,-0.39629999999999999,0,,,0.38403906373496743 -coef_presence_of_driving_school_kid_and_escorting_tour,-0.21108592167092743,0.36009999999999998,0,,,-0.21108592167092743 -coef_presence_of_full_time_worker_and_discretionary_tour,-0.78342819804391672,-0.66700000000000004,0,,,-0.78342819804391672 -coef_presence_of_full_time_worker_and_eating_out_tour,-0.74762089644693475,-0.35709999999999997,0,,,-0.74762089644693475 -coef_presence_of_full_time_worker_and_maintenance_tour,-0.34233564267666977,-0.16850000000000001,0,,,-0.34233564267666977 -coef_presence_of_full_time_worker_and_shopping_tour,-0.63058521173008519,-0.30590000000000001,0,,,-0.63058521173008519 -coef_presence_of_non_worker_and_discretionary_tour,-1.2669707808842081,-0.42809999999999998,0,,,-1.2669707808842081 -coef_presence_of_non_worker_and_eating_out_tour,-0.44503023956321403,-0.2014,0,,,-0.44503023956321403 -coef_presence_of_non_worker_and_escorting_tour,-0.85427331034949039,-0.48149999999999998,0,,,-0.85427331034949039 -coef_presence_of_non_worker_and_maintenance_tour,-0.20935037072535292,-0.32369999999999999,0,,,-0.20935037072535292 -coef_presence_of_non_worker_and_shopping_tour,-0.84441949424610041,-0.41599999999999998,0,,,-0.84441949424610041 -coef_presence_of_part_time_worker_and_discretionary_tour,-0.041239276355498081,-0.2102,0,,,-0.041239276355498081 -coef_presence_of_part_time_worker_and_maintenance_tour,-0.18336221092296712,-0.15840000000000001,0,,,-0.18336221092296712 -coef_presence_of_part_time_worker_and_shopping_tour,-0.14852190396109033,-0.15409999999999999,0,,,-0.14852190396109033 -coef_presence_of_pre_driving_school_kid_and_discretionary_tour,-0.12585844615812486,-0.39589999999999997,0,,,-0.12585844615812486 -coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.4021102250286928,1.3974,0,,,1.4021102250286928 -coef_presence_of_pre_school_kid_and_discretionary_tour,-0.017076036823995389,-0.5081,0,,,-0.017076036823995389 -coef_presence_of_pre_school_kid_and_eating_out_tour,-0.84547304246409216,-0.42249999999999999,0,,,-0.84547304246409216 -coef_presence_of_pre_school_kid_and_escorting_tour,0.74822720714906121,0.68420000000000003,0,,,0.74822720714906121 -coef_presence_of_pre_school_kid_and_shopping_tour,-0.006143364129761947,-0.20799999999999999,0,,,-0.006143364129761947 -coef_presence_of_retiree_and_discretionary_tour,-0.5968298706214118,-0.91039999999999999,0,,,-0.5968298706214118 -coef_presence_of_retiree_and_eating_out_tour,-1.2874101904899586,-0.57079999999999997,0,,,-1.2874101904899586 -coef_presence_of_retiree_and_escorting_tour,-12.931599172963331,-0.80800000000000005,0,,,-12.931599172963331 -coef_presence_of_university_student_and_discretionary_tour,-0.40727682870124049,-0.85509999999999997,0,,,-0.40727682870124049 -coef_total_number_of_tours_is_1,-7.5238510045347198,-7.3571999999999997,0,,,-7.5238510045347198 -coef_total_number_of_tours_is_2,-10.052745008623061,-10.647,0,,,-10.052745008623061 -coef_total_number_of_tours_is_3,-11.089117141589441,-13.500500000000001,0,,,-11.089117141589441 -coef_total_number_of_tours_is_4,-12.79747158559379,-16.3965,0,,,-12.79747158559379 -coef_total_number_of_tours_is_5,-21.780097785311945,-19.6843,0,,,-21.780097785311945 -coef_total_number_of_tours_is_6_plus,-999,-999,0,-999,-999,-999 -coef_transit_access_to_retail_and_tour_frequency_is_5_plus,0.07445921318512129,0.022599999999999999,0,,,0.07445921318512129 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_urban_and_escorting_tour,-0.40934213736815739,-0.43159999999999998,0,,,-0.40934213736815739 -coef_walk_access_to_retail_and_discretionary,0.16052040097513201,0.0567,0,,,0.16052040097513201 -coef_walk_access_to_retail_and_eating_out,0.21128946397868445,0.14499999999999999,0,,,0.21128946397868445 -coef_walk_access_to_retail_and_escorting,-0.10528530451785624,0.045100000000000001,0,,,-0.10528530451785624 -coef_walk_access_to_retail_and_shopping,0.030181871306816859,0.033000000000000002,0,,,0.030181871306816859 -coef_zero_car_ownership_and_tour_frequency_is_5_plus,-0.22749157163698558,-0.34860000000000002,0,,,-0.22749157163698558 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,0.77792661515451589,0.5272,0,,,0.77792661515451589 -coef_1_plus_eating_out_tours_constant,1.6650752768925599,0.69140000000000001,0,,,1.6650752768925599 -coef_1_plus_maintenance_tours_constant,1.2147335336677649,0.55330000000000001,0,,,1.2147335336677649 -coef_1_plus_other_discretionary_tours_constant,1.7838713459166913,0.79890000000000005,0,,,1.7838713459166913 -coef_1_plus_shopping_tours_constant,1.5216128214649225,0.75690000000000002,0,,,1.5216128214649225 -coef_1_plus_visting_tours_constant,1.0454819231998753,0.14050000000000001,0,,,1.0454819231998753 -coef_2_plus_escort_tours_constant,1.8826614596684659,1.5987,0,,,1.8826614596684659 -coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,0.049231503501832231,-0.54979999999999996,0,,,0.049231503501832231 -coef_female_and_discretionary_tour,0.4392516750827225,0.30719999999999997,0,,,0.4392516750827225 -coef_female_and_shopping_tour,0.75313279306505232,0.45240000000000002,0,,,0.75313279306505232 -coef_high_income_group_and_discretionary_tour,0.23650597334594267,0.29599999999999999,0,,,0.23650597334594267 -coef_high_income_group_and_maintenance_tour,1.3851001428210838,0.67630000000000001,0,,,1.3851001428210838 -coef_high_income_group_and_shopping_tour,0.8194174808417779,0.70660000000000001,0,,,0.8194174808417779 -coef_high_income_group_and_tour_frequency_is_1,1.1457147075553702,0.86819999999999997,0,,,1.1457147075553702 -coef_high_income_group_and_tour_frequency_is_2,1.3475187007328813,1.5362,0,,,1.3475187007328813 -coef_high_income_group_and_tour_frequency_is_5_plus,1.4989029758459638,1.9331,0,,,1.4989029758459638 -coef_high_income_group_and_visiting_tour,-0.51731565603377461,-0.68679999999999997,0,,,-0.51731565603377461 -coef_logged_maximum_residual_window_tour_frequency_is_1,0.7685190519346432,1.5748,0,,,0.7685190519346432 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,1.2439948002596291,2.0026000000000002,0,,,1.2439948002596291 -coef_mediumhigh_income_group_and_shopping_tour,0.6050472895465131,0.44209999999999999,0,,,0.6050472895465131 -coef_mediumlow_income_group_and_tour_frequency_is_1,0.78437721900423418,0.59809999999999997,0,,,0.78437721900423418 -coef_mediumlow_income_group_and_tour_frequency_is_2,0.77646590224476053,0.91779999999999995,0,,,0.77646590224476053 -coef_mediumlow_income_group_and_tour_frequency_is_5_plus,0.85089808758167285,1.7539,0,,,0.85089808758167285 -coef_number_of_joint_tours_and_tour_frequency_is_4,-1.3476574161190644,-1.1986000000000001,0,,,-1.3476574161190644 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.98906870125269652,-0.23899999999999999,0,,,-0.98906870125269652 -coef_number_of_mandatory_tours_and_tour_frequency_is_2,-2.8297942396940736,-1.8208,0,,,-2.8297942396940736 -coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-2.7856768576922941,-2.5922999999999998,0,,,-2.7856768576922941 -coef_presence_of_driving_school_kid_and_escorting_tour,1.029446605173121,0.41639999999999999,0,,,1.029446605173121 -coef_presence_of_full_time_worker_and_maintenance_tour,-0.48499903259305888,-0.31309999999999999,0,,,-0.48499903259305888 -coef_presence_of_non_worker_and_discretionary_tour,-0.55680343236172403,-1.0370999999999999,0,,,-0.55680343236172403 -coef_presence_of_non_worker_and_eating_out_tour,-0.23160785989506891,-0.65449999999999997,0,,,-0.23160785989506891 -coef_presence_of_non_worker_and_escorting_tour,-0.61711333679139824,-0.52629999999999999,0,,,-0.61711333679139824 -coef_presence_of_part_time_worker_and_maintenance_tour,-1.0349086974724879,-0.56210000000000004,0,,,-1.0349086974724879 -coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.8088903614971785,1.5794999999999999,0,,,1.8088903614971785 -coef_presence_of_pre_school_kid_and_escorting_tour,0.29170166111444701,0.54139999999999999,0,,,0.29170166111444701 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1,0.3086114999500732,-0.15590000000000001,0,,,0.3086114999500732 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-0.53068484571189922,-0.56810000000000005,0,,,-0.53068484571189922 -coef_presence_of_retiree_and_eating_out_tour,0.10920851120872498,-1.389,0,,,0.10920851120872498 -coef_presence_of_retiree_and_escorting_tour,-0.46115035352397654,-0.75160000000000005,0,,,-0.46115035352397654 -coef_presence_of_university_student_and_eating_out_tour,-1.7593233495192167,-1.4318,0,,,-1.7593233495192167 -coef_total_number_of_tours_is_1,-6.8126152336072634,-7.6391,0,,,-6.8126152336072634 -coef_total_number_of_tours_is_2,-9.848059513629396,-10.4557,0,,,-9.848059513629396 -coef_total_number_of_tours_is_3,-12.828277375142353,-14.0176,0,,,-12.828277375142353 -coef_total_number_of_tours_is_4,-17.097027294518412,-16.971699999999998,0,,,-17.097027294518412 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_urban_and_escorting_tour,0.42574953449141995,-0.39290000000000003,0,,,0.42574953449141995 -coef_walk_access_to_retail_and_tour_frequency_is_1,0.080139740576734939,0.089899999999999994,0,,,0.080139740576734939 -coef_walk_access_to_retail_and_tour_frequency_is_2,0.10381957230648611,0.1447,0,,,0.10381957230648611 -coef_walk_access_to_retail_and_tour_frequency_is_5_plus,0.050631059321334597,0.34789999999999999,0,,,0.050631059321334597 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,1.8515063856421023,1.7028000000000001,0,,,1.8515063856421023 -coef_1_plus_eating_out_tours_constant,-13.970900895148123,2.0722999999999998,0,,,-13.970900895148123 -coef_1_plus_maintenance_tours_constant,-0.33803118769084733,0.33479999999999999,0,,,-0.33803118769084733 -coef_1_plus_other_discretionary_tours_constant,-1.4739923019690557,1.3389,0,,,-1.4739923019690557 -coef_1_plus_shopping_tours_constant,2.0188727174813774,1.8403,0,,,2.0188727174813774 -coef_1_plus_visting_tours_constant,1.1323634825734481,1.2172000000000001,0,,,1.1323634825734481 -coef_2_plus_escort_tours_constant,2.7388802993288452,2.8378999999999999,0,,,2.7388802993288452 -coef_auto_access_to_retail_and_discretionary,0.6683734729533154,0.094,0,,,0.6683734729533154 -coef_auto_access_to_retail_and_eating_out,3.3138758891504487,0.1018,0,,,3.3138758891504487 -coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-1.1118144810513726,-0.58099999999999996,0,,,-1.1118144810513726 -coef_female_and_discretionary_tour,-0.25441035312551963,-0.3266,0,,,-0.25441035312551963 -coef_female_and_eatingout_tour,-0.67597119919881721,-0.65680000000000005,0,,,-0.67597119919881721 -coef_female_and_tour_frequency_is_1,-0.50912757178913237,0.097299999999999998,0,,,-0.50912757178913237 -coef_female_and_tour_frequency_is_2,0.67536539039172305,0.2361,0,,,0.67536539039172305 -coef_female_and_tour_frequency_is_5,1.992028104740627,1.9001999999999999,0,,,1.992028104740627 -coef_high_income_group_and_eating_out_tour,-1.7911774479045783,-0.72070000000000001,0,,,-1.7911774479045783 -coef_high_income_group_and_shopping_tour,0.0036422160874866197,0.56930000000000003,0,,,0.0036422160874866197 -coef_high_income_group_and_tour_frequency_is_1,1.4404498701731279,0.39860000000000001,0,,,1.4404498701731279 -coef_high_income_group_and_tour_frequency_is_2,0.83745190593386265,0.80089999999999995,0,,,0.83745190593386265 -coef_high_income_group_and_tour_frequency_is_5_plus,-16.251792370439588,0.82540000000000002,0,,,-16.251792370439588 -coef_high_income_group_and_visiting_tour,-0.82404884406611401,-0.36940000000000001,0,,,-0.82404884406611401 -coef_logged_maximum_residual_window_tour_frequency_is_0,0.2804768002125545,1.1858,0,,,0.2804768002125545 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,2.3895231997864537,1.4842,0,,,2.3895231997864537 -coef_mediumhigh_income_group_and_tour_frequency_is_1,0.50210130383758622,0.1109,0,,,0.50210130383758622 -coef_mediumhigh_income_group_and_tour_frequency_is_2,2.1358136364876388,0.39140000000000003,0,,,2.1358136364876388 -coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,3.8895054347112406,0.61370000000000002,0,,,3.8895054347112406 -coef_number_of_joint_discretionary_tours,-12.752183693752794,0.67130000000000001,0,,,-12.752183693752794 -coef_number_of_joint_shopping_tours,-26.373288193463711,-0.71299999999999997,0,,,-26.373288193463711 -coef_number_of_joint_tours_and_tour_frequency_is_2,-13.926155494658921,-0.31530000000000002,0,,,-13.926155494658921 -coef_number_of_joint_tours_and_tour_frequency_is_3,-1.3634750179314692,-0.73509999999999998,0,,,-1.3634750179314692 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.80994304158323804,-0.1852,0,,,-0.80994304158323804 -coef_number_of_mandatory_tours_and_tour_frequency_is_2,-1.9296858293686057,-0.87529999999999997,0,,,-1.9296858293686057 -coef_number_of_mandatory_tours_and_tour_frequency_is_3,-3.1165358610084146,-1.6157999999999999,0,,,-3.1165358610084146 -coef_presence_of_full_time_worker_and_discretionary_tour,-1.0912632357636489,-0.48330000000000001,0,,,-1.0912632357636489 -coef_presence_of_full_time_worker_and_eating_out_tour,0.77587232422920438,-0.52510000000000001,0,,,0.77587232422920438 -coef_presence_of_full_time_worker_and_shopping_tour,-0.47914248744882598,-0.77280000000000004,0,,,-0.47914248744882598 -coef_presence_of_non_worker_and_discretionary_tour,-0.59191766592824591,0.97809999999999997,0,,,-0.59191766592824591 -coef_presence_of_non_worker_and_tour_frequency_is_1,0.20739098927232799,-0.85060000000000002,0,,,0.20739098927232799 -coef_presence_of_non_worker_and_tour_frequency_is_5,-0.10809095623412202,-1.1803999999999999,0,,,-0.10809095623412202 -coef_presence_of_part_time_worker_and_eating_out_tour,-3.2046073684551888,-1.9795,0,,,-3.2046073684551888 -coef_presence_of_part_time_worker_and_escorting_tour,-2.2247073118309659,-1.8212999999999999,0,,,-2.2247073118309659 -coef_presence_of_part_time_worker_and_shopping_tour,-0.72896673490600039,-0.51990000000000003,0,,,-0.72896673490600039 -coef_presence_of_pre_driving_school_kid_and_escorting_tour,-0.075902664875801412,0.94889999999999997,0,,,-0.075902664875801412 -coef_presence_of_pre_driving_school_kid_and_maintenance_tour,0.072697095095962505,0.38629999999999998,0,,,0.072697095095962505 -coef_presence_of_pre_school_kid_and_escorting_tour,1.7499151704017379,2.1465000000000001,0,,,1.7499151704017379 -coef_presence_of_pre_school_kid_and_maintenance_tour,-0.61302038898844102,0.96940000000000004,0,,,-0.61302038898844102 -coef_presence_of_pre_school_kid_and_shopping_tour,0.4218433052411511,1.3134999999999999,0,,,0.4218433052411511 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1,-2.0284687546419584,-0.99609999999999999,0,,,-2.0284687546419584 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_2,-0.79737893556046791,-1.9096,0,,,-0.79737893556046791 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-0.31913117480031128,-2.8469000000000002,0,,,-0.31913117480031128 -coef_presence_of_university_student_and_discretionary_tour,0.090801806893705261,-0.6542,0,,,0.090801806893705261 -coef_presence_of_university_student_and_eating_out_tour,-0.42835318314992721,-0.65290000000000004,0,,,-0.42835318314992721 -coef_total_number_of_tours_is_1,-8.5863403053428833,-6.2138,0,,,-8.5863403053428833 -coef_total_number_of_tours_is_2,-11.31949482279566,-8.9079999999999995,0,,,-11.31949482279566 -coef_total_number_of_tours_is_3,-14.109861113838994,-12.3261,0,,,-14.109861113838994 -coef_total_number_of_tours_is_4,-17.545826976965291,-15.811400000000001,0,,,-17.545826976965291 -coef_transit_access_to_retail_and_discretionary,0,0,0,0,0,0 -coef_transit_access_to_retail_and_maintenance,0.25755159606468364,0.031399999999999997,0,,,0.25755159606468364 -coef_transit_access_to_retail_and_tour_frequency_is_5_plus,0.20705109302348529,0.066400000000000001,0,,,0.20705109302348529 -coef_urban_and_discretionary_tour,-1.8565923019691735,0.95630000000000004,0,,,-1.8565923019691735 -coef_urban_and_eatingout_tour,-15.36320089514812,0.68000000000000005,0,,,-15.36320089514812 -coef_urban_and_escorting_tour,0.80226698426219045,0.85160000000000002,0,,,0.80226698426219045 -coef_urban_and_maintenance_tour,0.35876881230913166,1.0316000000000001,0,,,0.35876881230913166 -coef_urban_and_shopping_tour,0.71157271748139417,0.53300000000000003,0,,,0.71157271748139417 -coef_urban_and_tour_frequency_is_1,-3.5373403053428834,-1.1648000000000001,0,,,-3.5373403053428834 -coef_urban_and_tour_frequency_is_2,-4.7291948227956535,-2.3176999999999999,0,,,-4.7291948227956535 -coef_urban_and_tour_frequency_is_5_plus,-6.0208880908118116,-2.5026999999999999,0,,,-6.0208880908118116 -coef_walk_access_to_retail_and_shopping,0.10237878294870741,0.097199999999999995,0,,,0.10237878294870741 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,-4.6370945761626077,-0.062899999999999998,0,,,-4.6370945761626077 -coef_1_plus_eating_out_tours_constant,-4.7784926750203027,-0.1429,0,,,-4.7784926750203027 -coef_1_plus_maintenance_tours_constant,-9.9288535518266823,-0.065299999999999997,0,,,-9.9288535518266823 -coef_1_plus_other_discretionary_tours_constant,-4.8073687191051899,0.33339999999999997,0,,,-4.8073687191051899 -coef_1_plus_shopping_tours_constant,-4.0132353551593232,0.46829999999999999,0,,,-4.0132353551593232 -coef_1_plus_visting_tours_constant,-4.8733834129994724,-0.12720000000000001,0,,,-4.8733834129994724 -coef_2_plus_escort_tours_constant,-8.967938948525461,0.92730000000000001,0,,,-8.967938948525461 -coef_at_home_pre_driving_school_kid_and_escorting_tour,-0.85247075086999724,-1.1479999999999999,0,,,-0.85247075086999724 -coef_at_home_pre_school_kid_and_eating_out_tour,0.60985731009359834,-0.3926,0,,,0.60985731009359834 -coef_at_home_pre_school_kid_and_escorting_tour,-0.061265250325528015,-0.13730000000000001,0,,,-0.061265250325528015 -coef_auto_access_to_retail_and_maintenance,0.61777145381329102,0.095600000000000004,0,,,0.61777145381329102 -coef_car_shortage_vs_workers_and_tour_frequency_is_1,-0.33803024620733235,-0.36230000000000001,0,,,-0.33803024620733235 -coef_car_shortage_vs_workers_and_tour_frequency_is_2,-1.4819665998101139,-1.272,0,,,-1.4819665998101139 -coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-2.5557207485506246,-1.9307000000000001,0,,,-2.5557207485506246 -coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,3.121774566538436,0.77380000000000004,0,,,3.121774566538436 -coef_female_and_maintenance_tour,-0.24639047530045038,-0.24640000000000001,0,,,-0.24639047530045038 -coef_female_and_tour_frequency_is_1,0.74864834160230664,0.39019999999999999,0,,,0.74864834160230664 -coef_female_and_tour_frequency_is_2,0.67696554036131518,0.5323,0,,,0.67696554036131518 -coef_female_and_tour_frequency_is_3,1.281698729380099,0.74519999999999997,0,,,1.281698729380099 -coef_female_and_tour_frequency_is_5,2.3807456280650667,1.1294,0,,,2.3807456280650667 -coef_high_income_group_and_discretionary_tour,0.51835922730368678,0.88460000000000005,0,,,0.51835922730368678 -coef_high_income_group_and_eating_out_tour,1.5486575358906367,0.70860000000000001,0,,,1.5486575358906367 -coef_high_income_group_and_shopping_tour,0.72862383681691834,0.97760000000000002,0,,,0.72862383681691834 -coef_high_income_group_and_tour_frequency_is_2,19.097882832130001,1.0632999999999999,0,,,19.097882832130001 -coef_high_income_group_and_tour_frequency_is_3,19.408558066997916,1.7742,0,,,19.408558066997916 -coef_high_income_group_and_tour_frequency_is_5_plus,19.832444995943295,2.3940999999999999,0,,,19.832444995943295 -coef_high_income_group_and_visiting_tour,-0.54232747274109727,-0.94489999999999996,0,,,-0.54232747274109727 -coef_logged_maximum_residual_window_tour_frequency_is_1,6.5467446485012912,1.7637,0,,,6.5467446485012912 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,7.3593803409865783,1.7927999999999999,0,,,7.3593803409865783 -coef_mediumhigh_income_group_and_discretionary_tour,0.18835358603238547,0.50090000000000001,0,,,0.18835358603238547 -coef_mediumhigh_income_group_and_eating_out_tour,-0.18198447365326542,0.46310000000000001,0,,,-0.18198447365326542 -coef_mediumhigh_income_group_and_shopping_tour,1.2220802803491335,0.89059999999999995,0,,,1.2220802803491335 -coef_mediumhigh_income_group_and_tour_frequency_is_1,19.971750133805212,0.74260000000000004,0,,,19.971750133805212 -coef_mediumhigh_income_group_and_tour_frequency_is_2,19.468344647994446,0.85460000000000003,0,,,19.468344647994446 -coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,19.731739849414112,1.0791999999999999,0,,,19.731739849414112 -coef_mediumhigh_income_group_and_visiting_tour,0.027868052585523006,-0.26700000000000002,0,,,0.027868052585523006 -coef_mediumlow_income_group_and_discretionary_tour,-0.31620776069124212,0.17069999999999999,0,,,-0.31620776069124212 -coef_mediumlow_income_group_and_eating_out_tour,0.64577775646714697,0.27660000000000001,0,,,0.64577775646714697 -coef_mediumlow_income_group_and_shopping_tour,0.55581824053699758,0.77339999999999998,0,,,0.55581824053699758 -coef_mediumlow_income_group_and_tour_frequency_is_1,17.934259369140999,0.57089999999999996,0,,,17.934259369140999 -coef_mediumlow_income_group_and_tour_frequency_is_5_plus,18.117542759840582,0.83150000000000002,0,,,18.117542759840582 -coef_number_of_joint_eating_out_tours,-13.182546391318507,-0.77270000000000005,0,,,-13.182546391318507 -coef_number_of_joint_shopping_tours,-16.839997040358107,-0.23910000000000001,0,,,-16.839997040358107 -coef_number_of_joint_tours_and_tour_frequency_is_1,-7.786577241296107,-0.1699,0,,,-7.786577241296107 -coef_number_of_joint_tours_and_tour_frequency_is_2,-9.7470048997804675,-0.42849999999999999,0,,,-9.7470048997804675 -coef_number_of_joint_tours_and_tour_frequency_is_3,-9.2917736869942509,-0.65510000000000002,0,,,-9.2917736869942509 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-9.5554593661807772,-1.0410999999999999,0,,,-9.5554593661807772 -coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.67659999999999998,-0.67659999999999998,0,,,-0.67659999999999998 -coef_number_of_mandatory_tours_and_tour_frequency_is_3,-1.0518000000000001,-1.0518000000000001,0,,,-1.0518000000000001 -coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_presence_of_full_time_worker_and_eating_out_tour,-1.3147958654758525,-0.4667,0,,,-1.3147958654758525 -coef_presence_of_full_time_worker_and_escorting_tour,0.35065195049774833,0.3947,0,,,0.35065195049774833 -coef_presence_of_non_worker_and_eating_out_tour,-0.40882607128740478,-0.49759999999999999,0,,,-0.40882607128740478 -coef_presence_of_non_worker_and_tour_frequency_is_1,1.8072738927257486,-0.37630000000000002,0,,,1.8072738927257486 -coef_presence_of_non_worker_and_tour_frequency_is_2,1.6043590091288431,-0.71899999999999997,0,,,1.6043590091288431 -coef_presence_of_non_worker_and_tour_frequency_is_5,2.2189804494458247,-1.0228999999999999,0,,,2.2189804494458247 -coef_presence_of_part_time_worker_and_discretionary_tour,-0.47082010921072343,-0.35449999999999998,0,,,-0.47082010921072343 -coef_presence_of_part_time_worker_and_escorting_tour,-0.93192205579588727,-0.58609999999999995,0,,,-0.93192205579588727 -coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.6418290951424679,1.3773,0,,,1.6418290951424679 -coef_presence_of_pre_school_kid_and_escorting_tour,0.7399830171990065,0.71940000000000004,0,,,0.7399830171990065 -coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1,-3.592889456087303,0.14860000000000001,0,,,-3.592889456087303 -coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,-3.4708451274125283,0.48399999999999999,0,,,-3.4708451274125283 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-3.861870451391785,-0.71609999999999996,0,,,-3.861870451391785 -coef_presence_of_retiree_and_eating_out_tour,-1.019099347827936,-0.69110000000000005,0,,,-1.019099347827936 -coef_presence_of_retiree_and_tour_frequency_is_1,2.0287807170341305,-0.46400000000000002,0,,,2.0287807170341305 -coef_presence_of_retiree_and_tour_frequency_is_5,1.9825418671121779,-0.47949999999999998,0,,,1.9825418671121779 -coef_total_number_of_tours_is_1,-23.000695056294269,-8.9791000000000007,0,,,-23.000695056294269 -coef_total_number_of_tours_is_2,-21.149512681682054,-12.024800000000001,0,,,-21.149512681682054 -coef_total_number_of_tours_is_3,-20.410765355763306,-14.851599999999999,0,,,-20.410765355763306 -coef_total_number_of_tours_is_4,-18.774647425097385,-17.703700000000001,0,,,-18.774647425097385 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_walk_access_to_retail_and_discretionary,0.21406620307694346,0.077200000000000005,0,,,0.21406620307694346 -coef_walk_access_to_retail_and_shopping,0.039842855774011393,0.059799999999999999,0,,,0.039842855774011393 -coef_walk_access_to_retail_and_tour_frequency_is_1,-0.50693837400775899,0.071300000000000002,0,,,-0.50693837400775899 -coef_walk_access_to_retail_and_tour_frequency_is_2,-0.40382295711954785,0.12559999999999999,0,,,-0.40382295711954785 -coef_walk_access_to_retail_and_tour_frequency_is_5_plus,-0.26053331276767533,0.15079999999999999,0,,,-0.26053331276767533 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,-2.730596441707033,-0.3992,0,,,-2.730596441707033 -coef_1_plus_eating_out_tours_constant,-2.5833046285296968,0.024500000000000001,0,,,-2.5833046285296968 -coef_1_plus_maintenance_tours_constant,-2.2992187432888329,0.1046,0,,,-2.2992187432888329 -coef_1_plus_other_discretionary_tours_constant,-2.2431962112746411,0.42820000000000003,0,,,-2.2431962112746411 -coef_1_plus_shopping_tours_constant,-1.9166425444609607,0.59470000000000001,0,,,-1.9166425444609607 -coef_1_plus_visting_tours_constant,-2.3440181385910446,0.27889999999999998,0,,,-2.3440181385910446 -coef_2_plus_escort_tours_constant,-4.9359365117262612,0.51749999999999996,0,,,-4.9359365117262612 -coef_car_surplus_vs_workers_and_tour_frequency_is_1,3.0947542803847758,0.79649999999999999,0,,,3.0947542803847758 -coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,3.4758535212559294,2.1301999999999999,0,,,3.4758535212559294 -coef_female_and_discretionary_tour,0.54152756838822758,0.49540000000000001,0,,,0.54152756838822758 -coef_female_and_maintenance_tour,0.70832787326060975,0.74239999999999995,0,,,0.70832787326060975 -coef_female_and_shopping_tour,0.60931588761842026,0.96879999999999999,0,,,0.60931588761842026 -coef_female_and_tour_frequency_is_1,-2.5191550523228474,-0.93479999999999996,0,,,-2.5191550523228474 -coef_female_and_tour_frequency_is_2,-2.7271688013300479,-1.3028,0,,,-2.7271688013300479 -coef_female_and_tour_frequency_is_5,-4.1602031889993674,-2.266,0,,,-4.1602031889993674 -coef_high_income_group_and_discretionary_tour,0.92588438224313008,1.0095000000000001,0,,,0.92588438224313008 -coef_high_income_group_and_eating_out_tour,1.6244927835124816,1.4842,0,,,1.6244927835124816 -coef_high_income_group_and_maintenance_tour,1.0061046178584812,1.3794999999999999,0,,,1.0061046178584812 -coef_high_income_group_and_shopping_tour,1.1051711361584451,1.0949,0,,,1.1051711361584451 -coef_high_income_group_and_visiting_tour,-0.65666362660607858,-0.51370000000000005,0,,,-0.65666362660607858 -coef_logged_maximum_residual_window_tour_frequency_is_1,2.9665568629163652,1.8357000000000001,0,,,2.9665568629163652 -coef_logged_maximum_residual_window_tour_frequency_is_2,5.581416234805145,2.2707000000000002,0,,,5.581416234805145 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,31.909531343908711,4.4023000000000003,0,,,31.909531343908711 -coef_mediumhigh_income_group_and_eating_out_tour,0.96427913024112555,1.181,0,,,0.96427913024112555 -coef_mediumhigh_income_group_and_maintenance_tour,0.46535126543893468,0.76480000000000004,0,,,0.46535126543893468 -coef_mediumhigh_income_group_and_visiting_tour,-0.47816865355794147,-0.43680000000000002,0,,,-0.47816865355794147 -coef_mediumlow_income_group_and_eating_out_tour,0.87748591593357028,0.97689999999999999,0,,,0.87748591593357028 -coef_number_of_joint_shopping_tours,-0.29099820983920754,-0.80720000000000003,0,,,-0.29099820983920754 -coef_number_of_joint_tours_and_tour_frequency_is_2,-6.3271431915064547,-0.94999999999999996,0,,,-6.3271431915064547 -coef_number_of_joint_tours_and_tour_frequency_is_3,-85.627388567464422,-7.1429999999999998,0,,,-85.627388567464422 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_number_of_mandatory_tours_and_tour_frequency_is_3,-5.0195999999999996,-5.0195999999999996,0,,,-5.0195999999999996 -coef_presence_of_full_time_worker_and_discretionary_tour,-0.33198445309738206,-0.48349999999999999,0,,,-0.33198445309738206 -coef_presence_of_full_time_worker_and_shopping_tour,-0.20732525834821677,-0.3609,0,,,-0.20732525834821677 -coef_presence_of_non_worker_and_discretionary_tour,-0.084103900991314984,-0.56030000000000002,0,,,-0.084103900991314984 -coef_presence_of_non_worker_and_eating_out_tour,-0.70153618577934562,-0.78800000000000003,0,,,-0.70153618577934562 -coef_presence_of_non_worker_and_tour_frequency_is_1,1.1906806536749803,0.224,0,,,1.1906806536749803 -coef_presence_of_non_worker_and_tour_frequency_is_2,1.3741954582206455,0.24360000000000001,0,,,1.3741954582206455 -coef_presence_of_non_worker_and_tour_frequency_is_3,2.1568221868185788,0.62,0,,,2.1568221868185788 -coef_presence_of_non_worker_and_tour_frequency_is_5,3.6943030762883984,3.3742000000000001,0,,,3.6943030762883984 -coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.6828802924993791,1.4903,0,,,1.6828802924993791 -coef_presence_of_pre_school_kid_and_escorting_tour,0.64181265687243838,0.50270000000000004,0,,,0.64181265687243838 -coef_presence_of_retiree_and_eating_out_tour,-0.9446797599672041,-0.92820000000000003,0,,,-0.9446797599672041 -coef_presence_of_retiree_and_tour_frequency_is_1,0.32142426327796303,-0.44579999999999997,0,,,0.32142426327796303 -coef_presence_of_retiree_and_tour_frequency_is_5,-0.05124161320643273,-0.53149999999999997,0,,,-0.05124161320643273 -coef_total_number_of_tours_is_1,-14.532344602813701,-8.5684000000000005,0,,,-14.532344602813701 -coef_total_number_of_tours_is_2,-15.267479639550283,-12.7416,0,,,-15.267479639550283 -coef_total_number_of_tours_is_3,-15.029318290282511,-15.097799999999999,0,,,-15.029318290282511 -coef_total_number_of_tours_is_4,-14.905139738811323,-19.543900000000001,0,,,-14.905139738811323 -coef_total_number_of_tours_is_5,-27.549766404642561,-20.7897,0,,,-27.549766404642561 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_walk_access_to_retail_and_tour_frequency_is_5_plus,0.69108202810785446,0.061600000000000002,0,,,0.69108202810785446 -coef_0_auto_household_and_escorting_tour,-289.81943839376481,-2,0,,,-289.81943839376481 -coef_1_escort_tour_constant,-6434.9613170821285,-0.49340000000000001,0,,,-6434.9613170821285 -coef_1_plus_eating_out_tours_constant,-3885.4119129943556,-0.024199999999999999,0,,,-3885.4119129943556 -coef_1_plus_maintenance_tours_constant,-1195.8070135696348,-0.43440000000000001,0,,,-1195.8070135696348 -coef_1_plus_other_discretionary_tours_constant,-2406.8061209898142,-0.26019999999999999,0,,,-2406.8061209898142 -coef_1_plus_shopping_tours_constant,-2389.30594524151,0.53200000000000003,0,,,-2389.30594524151 -coef_1_plus_visting_tours_constant,-2389.3059957968449,0.23669999999999999,0,,,-2389.3059957968449 -coef_2_plus_escort_tours_constant,-5667.6854005226833,1.4155,0,,,-5667.6854005226833 -coef_auto_access_to_retail_and_tour_frequency_is_5_plus,-44.188372748106481,0.1004,0,,,-44.188372748106481 -coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-17232.832070588393,-0.63690000000000002,0,,,-17232.832070588393 -coef_car_surplus_vs_workers_and_tour_frequency_is_1,-4035.619541886927,0.29020000000000001,0,,,-4035.619541886927 -coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,15225.992542144893,2.0352000000000001,0,,,15225.992542144893 -coef_high_income_group_and_discretionary_tour,4481.0843932231746,2.327,0,,,4481.0843932231746 -coef_high_income_group_and_eating_out_tour,-3157.2738344019517,0.49159999999999998,0,,,-3157.2738344019517 -coef_high_income_group_and_maintenance_tour,4461.4848620401744,0.3982,0,,,4461.4848620401744 -coef_high_income_group_and_shopping_tour,4461.3908032762156,0.24429999999999999,0,,,4461.3908032762156 -coef_high_income_group_and_visiting_tour,4461.3908519450242,0.2858,0,,,4461.3908519450242 -coef_logged_maximum_residual_window_tour_frequency_is_1,16.594329465647881,1.3298000000000001,0,,,16.594329465647881 -coef_logged_maximum_residual_window_tour_frequency_is_2,-19742.937757107196,1.3758999999999999,0,,,-19742.937757107196 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,-11491.665678473473,3.2808000000000002,0,,,-11491.665678473473 -coef_mediumhigh_income_group_and_discretionary_tour,572.84750941634763,1.405,0,,,572.84750941634763 -coef_mediumlow_income_group_and_discretionary_tour,-4429.9422108889057,0.91690000000000005,0,,,-4429.9422108889057 -coef_number_of_joint_tours_and_tour_frequency_is_1,-4180.3539679243559,-0.2162,0,,,-4180.3539679243559 -coef_number_of_joint_tours_and_tour_frequency_is_2,-1606.5028797398816,-0.35870000000000002,0,,,-1606.5028797398816 -coef_number_of_joint_tours_and_tour_frequency_is_3,-109.81932871468001,-4.2701000000000002,0,,,-109.81932871468001 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_number_of_mandatory_tours_and_tour_frequency_is_1,-16877.023969621659,-0.23400000000000001,0,,,-16877.023969621659 -coef_number_of_mandatory_tours_and_tour_frequency_is_2,12620.764595473987,-0.92310000000000003,0,,,12620.764595473987 -coef_number_of_mandatory_tours_and_tour_frequency_is_3,-4861.9979116103832,-6.5834999999999999,0,,,-4861.9979116103832 -coef_presence_of_driving_school_kid_and_discretionary_tour,-578.87207263924711,-0.92020000000000002,0,,,-578.87207263924711 -coef_presence_of_driving_school_kid_and_eating_out_tour,6.3817283359748718,-0.63770000000000004,0,,,6.3817283359748718 -coef_presence_of_non_worker_and_tour_frequency_is_2,878.00882728962233,-0.65710000000000002,0,,,878.00882728962233 -coef_presence_of_non_worker_and_tour_frequency_is_5,-1944.9226435678067,-1.4044000000000001,0,,,-1944.9226435678067 -coef_presence_of_pre_driving_school_kid_and_eating_out_tour,-164.90625497529834,-1.5698000000000001,0,,,-164.90625497529834 -coef_presence_of_pre_school_kid_and_eating_out_tour,313.47630877463621,-0.29870000000000002,0,,,313.47630877463621 -coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1,4033.5668708392936,-0.32190000000000002,0,,,4033.5668708392936 -coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,10149.331976157329,-1.0873999999999999,0,,,10149.331976157329 -coef_presence_of_university_student_and_discretionary_tour,3906.3784034663036,-1.2834000000000001,0,,,3906.3784034663036 -coef_total_number_of_tours_is_1,15200.662336544106,-7.1505999999999998,0,,,15200.662336544106 -coef_total_number_of_tours_is_2,-1638.5561861275439,-11.1214,0,,,-1638.5561861275439 -coef_total_number_of_tours_is_3,-14010.60832366959,-13.175000000000001,0,,,-14010.60832366959 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_urban_and_maintenance_tour,-1194.333213569586,1.0394000000000001,0,,,-1194.333213569586 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,-1.5720814237734582,-0.75509999999999999,0,,,-1.5720814237734582 -coef_1_plus_eating_out_tours_constant,-2.2222102013387453,1.1145,0,,,-2.2222102013387453 -coef_1_plus_maintenance_tours_constant,-1.4971354138568955,-0.50600000000000001,0,,,-1.4971354138568955 -coef_1_plus_other_discretionary_tours_constant,0.090817823541839565,0.46339999999999998,0,,,0.090817823541839565 -coef_1_plus_shopping_tours_constant,1.4746879181605808,0.4783,0,,,1.4746879181605808 -coef_1_plus_visting_tours_constant,-1.7926081421309932,-0.40060000000000001,0,,,-1.7926081421309932 -coef_2_plus_escort_tours_constant,-2.0596227390284212,-0.0086,0,,,-2.0596227390284212 -coef_auto_access_to_retail_and_escorting,0.55510802136078319,0.062899999999999998,0,,,0.55510802136078319 -coef_high_income_group_and_eating_out_tour,-1.3619797807034295,-0.70099999999999996,0,,,-1.3619797807034295 -coef_high_income_group_and_shopping_tour,-3.7366703425339884,-0.65059999999999996,0,,,-3.7366703425339884 -coef_high_income_group_and_tour_frequency_is_5_plus,16.017262145435474,2.0175000000000001,0,,,16.017262145435474 -coef_logged_maximum_residual_window_tour_frequency_is_5_plus,1.5260250309714616,1.5603,0,,,1.5260250309714616 -coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,15.096813647053857,1.5197000000000001,0,,,15.096813647053857 -coef_mediumlow_income_group_and_tour_frequency_is_5_plus,14.227758877255997,1.0872999999999999,0,,,14.227758877255997 -coef_number_of_joint_maintenance_tours,-1.3475999999999999,-1.3475999999999999,0,,,-1.3475999999999999 -coef_number_of_joint_tours_and_tour_frequency_is_2,-1.1971153311644798,-0.6149,0,,,-1.1971153311644798 -coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,0,-999,-999,-999 -coef_number_of_mandatory_tours_and_tour_frequency_is_1,-9.8896793584290901,-1.0330999999999999,0,,,-9.8896793584290901 -coef_number_of_mandatory_tours_and_tour_frequency_is_3,-10.675107092433787,-2.7444999999999999,0,,,-10.675107092433787 -coef_presence_of_full_time_worker_and_discretionary_tour,0.16721747201730811,0.75260000000000005,0,,,0.16721747201730811 -coef_presence_of_non_worker_and_eating_out_tour,-1.2956623157773164,-1.3073999999999999,0,,,-1.2956623157773164 -coef_presence_of_non_worker_and_shopping_tour,-1.353669617377284,-0.64500000000000002,0,,,-1.353669617377284 -coef_presence_of_non_worker_and_tour_frequency_is_5,-0.43468555779873808,0.2177,0,,,-0.43468555779873808 -coef_presence_of_part_time_worker_and_discretionary_tour,-0.34215511287271527,0.37209999999999999,0,,,-0.34215511287271527 -coef_presence_of_pre_driving_school_kid_and_shopping_tour,1.4153790711463878,0.9365,0,,,1.4153790711463878 -coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,0.29018085236023033,-0.22639999999999999,0,,,0.29018085236023033 -coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,0.32894398996272695,-0.44390000000000002,0,,,0.32894398996272695 -coef_total_number_of_tours_is_1,-11.291182385016718,-7.4863,0,,,-11.291182385016718 -coef_total_number_of_tours_is_2,-13.228339349370408,-10.718,0,,,-13.228339349370408 -coef_total_number_of_tours_is_3,-14.184904611232321,-13.788399999999999,0,,,-14.184904611232321 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_urban_and_escorting_tour,-4.4838269018301071,0.43519999999999998,0,,,-4.4838269018301071 -coef_walk_access_to_retail_and_eating_out,0.40010315143817771,0.073800000000000004,0,,,0.40010315143817771 -coef_0_auto_household_and_escorting_tour,-2,-2,0,-2,-2,-2 -coef_1_escort_tour_constant,0.17965076785235903,0.36220000000000002,0,,,0.17965076785235903 -coef_1_plus_eating_out_tours_constant,0.20482664652109922,0.96120000000000005,0,,,0.20482664652109922 -coef_1_plus_maintenance_tours_constant,0.073169219104483346,0.67879999999999996,0,,,0.073169219104483346 -coef_1_plus_other_discretionary_tours_constant,1.1336617402336022,1.4935,0,,,1.1336617402336022 -coef_1_plus_shopping_tours_constant,0.78536748101077303,1.6919,0,,,0.78536748101077303 -coef_1_plus_visting_tours_constant,-0.01128610640731513,0.44240000000000002,0,,,-0.01128610640731513 -coef_2_plus_escort_tours_constant,1.7444288874445422,2.2219000000000002,0,,,1.7444288874445422 -coef_discretionary_tour,0.54316174023360153,0.90300000000000002,0,,,0.54316174023360153 -coef_escorting_tour,1.3535085427415612,2.4910000000000001,0,,,1.3535085427415612 -coef_maintenance_tour,0.41636921910448493,1.022,0,,,0.41636921910448493 -coef_presence_of_full_time_worker_and_escorting_tour,-0.61349175561144009,-0.89300000000000002,0,,,-0.61349175561144009 -coef_presence_of_non_worker_and_discretionary_tour,0.01387890311352221,0.79100000000000004,0,,,0.01387890311352221 -coef_presence_of_non_worker_and_eating_out_tour,1.1150524768977683,1.157,0,,,1.1150524768977683 -coef_presence_of_non_worker_and_escorting_tour,0.89099305834953102,0.89000000000000001,0,,,0.89099305834953102 -coef_presence_of_non_worker_and_shopping_tour,0.23105344171814296,0.80800000000000005,0,,,0.23105344171814296 -coef_presence_of_part_time_worker_and_eating_out_tour,1.3926752534763249,1.0369999999999999,0,,,1.3926752534763249 -coef_presence_of_part_time_worker_and_shopping_tour,1.0440437570455019,1.155,0,,,1.0440437570455019 -coef_total_number_of_tours_is_1,-4.4367465516985458,-5.7590000000000003,0,,,-4.4367465516985458 -coef_total_number_of_tours_is_2,-9.0395579310490177,-11.516999999999999,0,,,-9.0395579310490177 -coef_total_number_of_tours_is_3,-12.714428561518217,-17.276,0,,,-12.714428561518217 -coef_total_number_of_tours_is_4,-29.080351094611324,-23.035,0,,,-29.080351094611324 -coef_total_number_of_tours_is_6_plus,-999,-999,0,-999,-999,-999 -coef_urban_and_discretionary_tour,0,0,0,0,0,0 -coef_visiting_or_social_tour,0.31531389359268519,0.76900000000000002,0,,,0.31531389359268519 +param_name,value,best,initvalue,nullvalue +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,0.4427992642013524,0.4427992642013524,0.029799999669194221,0 +coef_1_plus_eating_out_tours_constant,-0.55916615444423889,-0.55916615444423889,0.0097000002861022949,0 +coef_1_plus_maintenance_tours_constant,-0.048218934526752716,-0.048218934526752716,0.12020000070333481,0 +coef_1_plus_other_discretionary_tours_constant,1.1187985007824965,1.1187985007824965,0.74119997024536133,0 +coef_1_plus_shopping_tours_constant,0.80935601218553088,0.80935601218553088,0.47740000486373901,0 +coef_1_plus_visting_tours_constant,0.32772255127625538,0.32772255127625538,0.052200000733137131,0 +coef_2_plus_escort_tours_constant,0.86516558906506291,0.86516558906506291,0.7401999831199646,0 +coef_at_home_pre_driving_school_kid_and_escorting_tour,-1.1058628439891163,-1.1058628439891163,-0.27459999918937683,0 +coef_at_home_pre_school_kid_and_discretionary_tour,-0.70795142385539511,-0.70795142385539511,-0.47029998898506165,0 +coef_at_home_pre_school_kid_and_escorting_tour,-0.59160407292839623,-0.59160407292839623,-1.5674999952316284,0 +coef_auto_access_to_retail_and_discretionary,0.045130482105384076,0.045130482105384076,0.084399998188018799,0 +coef_auto_access_to_retail_and_maintenance,0.066126086285235641,0.066126086285235641,0.074900001287460327,0 +coef_auto_access_to_retail_and_shopping,0.12409575232027123,0.12409575232027123,0.10670000314712524,0 +coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,0.17885689584708081,0.17885689584708081,0.13040000200271606,0 +coef_female_and_escorting_tour,0.56410426544507486,0.56410426544507486,0.18240000307559967,0 +coef_female_and_tour_frequency_is_1,-0.30708391029855547,-0.30708391029855547,-0.076600000262260437,0 +coef_female_and_tour_frequency_is_2,-0.55559756867326349,-0.55559756867326349,-0.10620000213384628,0 +coef_female_and_tour_frequency_is_5,0.018075964162005607,0.018075964162005607,-0.32739999890327454,0 +coef_high_income_group_and_discretionary_tour,-0.091486067503143295,-0.091486067503143295,0.2565000057220459,0 +coef_high_income_group_and_eating_out_tour,0.72625729628634217,0.72625729628634217,0.55809998512268066,0 +coef_high_income_group_and_tour_frequency_is_1,1.155230706967018,1.155230706967018,0.51889997720718384,0 +coef_high_income_group_and_tour_frequency_is_2,2.3389197436575069,2.3389197436575069,1.1335999965667725,0 +coef_high_income_group_and_tour_frequency_is_5_plus,0.47586062840136895,0.47586062840136895,1.3898999691009521,0 +coef_high_income_group_and_visiting_tour,-0.86542592778132377,-0.86542592778132377,-0.24230000376701355,0 +coef_logged_maximum_residual_window_tour_frequency_is_1,1.3596125256366514,1.3596125256366514,1.2561999559402466,0 +coef_logged_maximum_residual_window_tour_frequency_is_2,1.4369987512243636,1.4369987512243636,1.2868000268936157,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,0.84347379326069005,0.84347379326069005,1.3992999792098999,0 +coef_mediumhigh_income_group_and_tour_frequency_is_1,1.1094796643673868,1.1094796643673868,0.49810001254081726,0 +coef_mediumhigh_income_group_and_tour_frequency_is_2,1.9181926670959439,1.9181926670959439,0.8345000147819519,0 +coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,1.3393581345532311,1.3393581345532311,1.0212999582290649,0 +coef_number_of_joint_eating_out_tours,-1.7726850801344511,-1.7726850801344511,-0.58660000562667847,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_2,-1.4026438175955793,-1.4026438175955793,-0.88870000839233398,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-2.025313408839498,-2.025313408839498,-2.3343000411987305,0 +coef_presence_of_driving_school_kid_and_discretionary_tour,0.33629833566221962,0.33629833566221962,-0.39629998803138733,0 +coef_presence_of_driving_school_kid_and_escorting_tour,-0.19071865882881728,-0.19071865882881728,0.36010000109672546,0 +coef_presence_of_full_time_worker_and_discretionary_tour,-0.75882600647076048,-0.75882600647076048,-0.66699999570846558,0 +coef_presence_of_full_time_worker_and_eating_out_tour,-0.73960069695319364,-0.73960069695319364,-0.35710000991821289,0 +coef_presence_of_full_time_worker_and_maintenance_tour,-0.38630750284054705,-0.38630750284054705,-0.16850000619888306,0 +coef_presence_of_full_time_worker_and_shopping_tour,-0.60182073500121425,-0.60182073500121425,-0.30590000748634338,0 +coef_presence_of_non_worker_and_discretionary_tour,-1.2394724190464534,-1.2394724190464534,-0.42809998989105225,0 +coef_presence_of_non_worker_and_eating_out_tour,-0.43749171051759073,-0.43749171051759073,-0.20139999687671661,0 +coef_presence_of_non_worker_and_escorting_tour,-0.92810302506396747,-0.92810302506396747,-0.48149999976158142,0 +coef_presence_of_non_worker_and_maintenance_tour,-0.25135759242376515,-0.25135759242376515,-0.32370001077651978,0 +coef_presence_of_non_worker_and_shopping_tour,-0.81193650011085927,-0.81193650011085927,-0.41600000858306885,0 +coef_presence_of_part_time_worker_and_discretionary_tour,-0.037914012004716779,-0.037914012004716779,-0.2101999968290329,0 +coef_presence_of_part_time_worker_and_maintenance_tour,-0.18845880952367774,-0.18845880952367774,-0.15839999914169312,0 +coef_presence_of_part_time_worker_and_shopping_tour,-0.13360094221187135,-0.13360094221187135,-0.15410000085830688,0 +coef_presence_of_pre_driving_school_kid_and_discretionary_tour,-0.098195561407346782,-0.098195561407346782,-0.39590001106262207,0 +coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.4005304562436685,1.4005304562436685,1.3974000215530396,0 +coef_presence_of_pre_school_kid_and_discretionary_tour,0.0018788117570303462,0.0018788117570303462,-0.50809997320175171,0 +coef_presence_of_pre_school_kid_and_eating_out_tour,-0.86481034258984602,-0.86481034258984602,-0.42250001430511475,0 +coef_presence_of_pre_school_kid_and_escorting_tour,0.74141629258937403,0.74141629258937403,0.6841999888420105,0 +coef_presence_of_pre_school_kid_and_shopping_tour,-0.018826868013972368,-0.018826868013972368,-0.20800000429153442,0 +coef_presence_of_retiree_and_discretionary_tour,-0.56414341094868059,-0.56414341094868059,-0.91039997339248657,0 +coef_presence_of_retiree_and_eating_out_tour,-1.2971397912010263,-1.2971397912010263,-0.57080000638961792,0 +coef_presence_of_retiree_and_escorting_tour,-3.9791405866488541,-3.9791405866488541,-0.80800002813339233,0 +coef_presence_of_university_student_and_discretionary_tour,-0.35370106427869641,-0.35370106427869641,-0.85509997606277466,0 +coef_total_number_of_tours_is_1,-8.0929871920905487,-8.0929871920905487,-7.3572001457214355,0 +coef_total_number_of_tours_is_2,-11.373665685061901,-11.373665685061901,-10.647000312805176,0 +coef_total_number_of_tours_is_3,-13.230959643793058,-13.230959643793058,-13.500499725341797,0 +coef_total_number_of_tours_is_4,-15.595277265944466,-15.595277265944466,-16.396499633789062,0 +coef_total_number_of_tours_is_5,-19.867033359049749,-19.867033359049749,-19.684299468994141,0 +coef_total_number_of_tours_is_6_plus,-999,-999,-999,0 +coef_transit_access_to_retail_and_tour_frequency_is_5_plus,0.050586414602862534,0.050586414602862534,0.022600000724196434,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_urban_and_escorting_tour,0.23133047198776119,0.23133047198776119,-0.43160000443458557,0 +coef_walk_access_to_retail_and_discretionary,0.035768845177126592,0.035768845177126592,0.056699998676776886,0 +coef_walk_access_to_retail_and_eating_out,0.23990162152188213,0.23990162152188213,0.14499999582767487,0 +coef_walk_access_to_retail_and_escorting,-0.12003056391798796,-0.12003056391798796,0.045099999755620956,0 +coef_walk_access_to_retail_and_shopping,-0.045608290266312995,-0.045608290266312995,0.032999999821186066,0 +coef_zero_car_ownership_and_tour_frequency_is_5_plus,-0.2160690015503576,-0.2160690015503576,-0.34860000014305115,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,0.78022647864874106,0.78022647864874106,0.52719998359680176,0 +coef_1_plus_eating_out_tours_constant,1.6369882471832848,1.6369882471832848,0.69139999151229858,0 +coef_1_plus_maintenance_tours_constant,1.2611597485996247,1.2611597485996247,0.55330002307891846,0 +coef_1_plus_other_discretionary_tours_constant,1.8042028984875396,1.8042028984875396,0.79890000820159912,0 +coef_1_plus_shopping_tours_constant,1.4577278573241144,1.4577278573241144,0.75690001249313354,0 +coef_1_plus_visting_tours_constant,1.0730718283709404,1.0730718283709404,0.14049999415874481,0 +coef_2_plus_escort_tours_constant,1.8729239069881625,1.8729239069881625,1.5987000465393066,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,0.047550202162169208,0.047550202162169208,-0.54979997873306274,0 +coef_female_and_discretionary_tour,0.44246508408459873,0.44246508408459873,0.30720001459121704,0 +coef_female_and_shopping_tour,0.72280754095601429,0.72280754095601429,0.45239999890327454,0 +coef_high_income_group_and_discretionary_tour,0.17993929507162121,0.17993929507162121,0.29600000381469727,0 +coef_high_income_group_and_maintenance_tour,1.2972259045977341,1.2972259045977341,0.67629998922348022,0 +coef_high_income_group_and_shopping_tour,0.87248673602279736,0.87248673602279736,0.70660001039505005,0 +coef_high_income_group_and_tour_frequency_is_1,1.2363061506956392,1.2363061506956392,0.86820000410079956,0 +coef_high_income_group_and_tour_frequency_is_2,1.3997702009895265,1.3997702009895265,1.5362000465393066,0 +coef_high_income_group_and_tour_frequency_is_5_plus,1.5247592588483323,1.5247592588483323,1.9330999851226807,0 +coef_high_income_group_and_visiting_tour,-0.58407376090955276,-0.58407376090955276,-0.68680000305175781,0 +coef_logged_maximum_residual_window_tour_frequency_is_1,0.78207461828672042,0.78207461828672042,1.5748000144958496,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,1.2295616602720314,1.2295616602720314,2.0025999546051025,0 +coef_mediumhigh_income_group_and_shopping_tour,0.64569736253979326,0.64569736253979326,0.44209998846054077,0 +coef_mediumlow_income_group_and_tour_frequency_is_1,0.88613463643879131,0.88613463643879131,0.59810000658035278,0 +coef_mediumlow_income_group_and_tour_frequency_is_2,0.84850399647408248,0.84850399647408248,0.91780000925064087,0 +coef_mediumlow_income_group_and_tour_frequency_is_5_plus,0.87831822891977274,0.87831822891977274,1.7539000511169434,0 +coef_number_of_joint_tours_and_tour_frequency_is_4,-1.2633997095537546,-1.2633997095537546,-1.1986000537872314,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.94282353171733657,-0.94282353171733657,-0.23899999260902405,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_2,-2.7338328554607796,-2.7338328554607796,-1.8207999467849731,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-2.6682909569935234,-2.6682909569935234,-2.5922999382019043,0 +coef_presence_of_driving_school_kid_and_escorting_tour,1.0188615044012985,1.0188615044012985,0.41639998555183411,0 +coef_presence_of_full_time_worker_and_maintenance_tour,-0.48961457222493282,-0.48961457222493282,-0.31310001015663147,0 +coef_presence_of_non_worker_and_discretionary_tour,-0.57727792649553333,-0.57727792649553333,-1.0370999574661255,0 +coef_presence_of_non_worker_and_eating_out_tour,-0.21267685745459988,-0.21267685745459988,-0.65450000762939453,0 +coef_presence_of_non_worker_and_escorting_tour,-0.59185572336636527,-0.59185572336636527,-0.52630001306533813,0 +coef_presence_of_part_time_worker_and_maintenance_tour,-1.0186820306196382,-1.0186820306196382,-0.56209999322891235,0 +coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.7856557294189983,1.7856557294189983,1.5794999599456787,0 +coef_presence_of_pre_school_kid_and_escorting_tour,0.27408822617776946,0.27408822617776946,0.54140001535415649,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1,0.30438027742581492,0.30438027742581492,-0.15590000152587891,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-0.52997357567752201,-0.52997357567752201,-0.5680999755859375,0 +coef_presence_of_retiree_and_eating_out_tour,0.057141478624328376,0.057141478624328376,-1.3890000581741333,0 +coef_presence_of_retiree_and_escorting_tour,-0.44904086319222258,-0.44904086319222258,-0.75160002708435059,0 +coef_presence_of_university_student_and_eating_out_tour,-1.819545601982254,-1.819545601982254,-1.4318000078201294,0 +coef_total_number_of_tours_is_1,-7.0159278521309831,-7.0159278521309831,-7.6391000747680664,0 +coef_total_number_of_tours_is_2,-10.006686059458314,-10.006686059458314,-10.455699920654297,0 +coef_total_number_of_tours_is_3,-12.780090082076166,-12.780090082076166,-14.017600059509277,0 +coef_total_number_of_tours_is_4,-17.006726946049447,-17.006726946049447,-16.971700668334961,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_urban_and_escorting_tour,0.40857422586786191,0.40857422586786191,-0.39289999008178711,0 +coef_walk_access_to_retail_and_tour_frequency_is_1,0.091591528383907397,0.091591528383907397,0.089900001883506775,0 +coef_walk_access_to_retail_and_tour_frequency_is_2,0.12013944932753479,0.12013944932753479,0.14470000565052032,0 +coef_walk_access_to_retail_and_tour_frequency_is_5_plus,0.043892915968164865,0.043892915968164865,0.34790000319480896,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,1.8320083268912393,1.8320081212504946,1.7028000354766846,0 +coef_1_plus_eating_out_tours_constant,-13.842117153486281,-13.842113426324161,2.0722999572753906,0 +coef_1_plus_maintenance_tours_constant,-0.36965786889297769,-0.36965847869322271,0.33480000495910645,0 +coef_1_plus_other_discretionary_tours_constant,-1.2004258495977875,-1.2004252032682035,1.3388999700546265,0 +coef_1_plus_shopping_tours_constant,1.9630014272782856,1.9630010920712406,1.8402999639511108,0 +coef_1_plus_visting_tours_constant,1.0077266905164448,1.0077264438102758,1.2172000408172607,0 +coef_2_plus_escort_tours_constant,2.7101792728099783,2.7101793241888337,2.837899923324585,0 +coef_auto_access_to_retail_and_discretionary,0.60576917052564894,0.60576901559373153,0.093999996781349182,0 +coef_auto_access_to_retail_and_eating_out,3.2803304602848562,3.2803296298812761,0.10180000215768814,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-1.1286721006590705,-1.1286716773156127,-0.58099997043609619,0 +coef_female_and_discretionary_tour,-0.27866976927760068,-0.27866980957578169,-0.32659998536109924,0 +coef_female_and_eatingout_tour,-0.71346970397905807,-0.71346918819904392,-0.65679997205734253,0 +coef_female_and_tour_frequency_is_1,-0.48821855191385899,-0.48821751083893139,0.097300000488758087,0 +coef_female_and_tour_frequency_is_2,0.70828217386581849,0.70828183909772424,0.23610000312328339,0 +coef_female_and_tour_frequency_is_5,2.0698314021941049,2.0698320315070937,1.9002000093460083,0 +coef_high_income_group_and_eating_out_tour,-1.7871396439814193,-1.7871393359274383,-0.72070002555847168,0 +coef_high_income_group_and_shopping_tour,-0.0097579376258961487,-0.0097578081985406004,0.56929999589920044,0 +coef_high_income_group_and_tour_frequency_is_1,1.4527093121517425,1.4527099923825588,0.3986000120639801,0 +coef_high_income_group_and_tour_frequency_is_2,0.90039297576289479,0.90039284655601348,0.80089998245239258,0 +coef_high_income_group_and_tour_frequency_is_5_plus,-6.947254854872086,-6.9472539654420844,0.82539999485015869,0 +coef_high_income_group_and_visiting_tour,-0.77942127489278434,-0.77942163984758739,-0.36939999461174011,0 +coef_logged_maximum_residual_window_tour_frequency_is_0,0.26793790497643488,0.26793818025889998,1.1857999563217163,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,2.4020620521081604,2.4020617768256951,1.4842000007629395,0 +coef_mediumhigh_income_group_and_tour_frequency_is_1,0.4738896197844194,0.4738898434218578,0.11089999973773956,0 +coef_mediumhigh_income_group_and_tour_frequency_is_2,2.1475070128100544,2.1475072544785649,0.39140000939369202,0 +coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,3.9137980844922171,3.9137982636389732,0.61369997262954712,0 +coef_number_of_joint_discretionary_tours,-6.8227040161278429,-6.8227030499165631,0.67129999399185181,0 +coef_number_of_joint_shopping_tours,-4.5845196404815836,-4.5845189614516721,-0.71299999952316284,0 +coef_number_of_joint_tours_and_tour_frequency_is_2,-9.1761287341051698,-9.1761275454648299,-0.31529998779296875,0 +coef_number_of_joint_tours_and_tour_frequency_is_3,-1.7257215207841496,-1.7257219586505792,-0.73509997129440308,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.64122576357731442,-0.64122588480735709,-0.18520000576972961,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_2,-1.7823789287319811,-1.7823796487869576,-0.87529999017715454,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_3,-2.9941269208431893,-2.9941272442555316,-1.6158000230789185,0 +coef_presence_of_full_time_worker_and_discretionary_tour,-1.1123947161390522,-1.1123952221405766,-0.48330000042915344,0 +coef_presence_of_full_time_worker_and_eating_out_tour,0.7644158078010701,0.76441605865788576,-0.5250999927520752,0 +coef_presence_of_full_time_worker_and_shopping_tour,-0.47330099399200232,-0.4733010233040793,-0.7728000283241272,0 +coef_presence_of_non_worker_and_discretionary_tour,-0.59088716119227658,-0.59088747572415357,0.9781000018119812,0 +coef_presence_of_non_worker_and_tour_frequency_is_1,0.1878408165883074,0.18784146495376636,-0.85060000419616699,0 +coef_presence_of_non_worker_and_tour_frequency_is_5,-0.17945867023496131,-0.17945929629633911,-1.180400013923645,0 +coef_presence_of_part_time_worker_and_eating_out_tour,-3.2345296325509101,-3.234529777482781,-1.9795000553131104,0 +coef_presence_of_part_time_worker_and_escorting_tour,-2.2546395276485063,-2.2546394925137023,-1.8213000297546387,0 +coef_presence_of_part_time_worker_and_shopping_tour,-0.7496461309021506,-0.74964534531823057,-0.51990002393722534,0 +coef_presence_of_pre_driving_school_kid_and_escorting_tour,-0.083989210795650721,-0.083989664675771999,0.94889998435974121,0 +coef_presence_of_pre_driving_school_kid_and_maintenance_tour,0.053444488601664397,0.053444497296591398,0.38629999756813049,0 +coef_presence_of_pre_school_kid_and_escorting_tour,1.725644687339964,1.7256441682495762,2.1465001106262207,0 +coef_presence_of_pre_school_kid_and_maintenance_tour,-0.5795847743089354,-0.57958494820750939,0.96939998865127563,0 +coef_presence_of_pre_school_kid_and_shopping_tour,0.45827102667224523,0.45827002311694837,1.3135000467300415,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1,-2.0326667193288683,-2.0326652307764594,-0.99610000848770142,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_2,-0.71238012908852999,-0.71237818006976983,-1.9096000194549561,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-0.20193836611977739,-0.201935994121831,-2.8468999862670898,0 +coef_presence_of_university_student_and_discretionary_tour,0.066507097009832913,0.066507630930055919,-0.65420001745223999,0 +coef_presence_of_university_student_and_eating_out_tour,-0.42018064953666173,-0.42018066679895533,-0.65289998054504395,0 +coef_total_number_of_tours_is_1,-8.6552470544456295,-8.6552472298372294,-6.2137999534606934,0 +coef_total_number_of_tours_is_2,-11.339670857033484,-11.33967023685339,-8.9079999923706055,0 +coef_total_number_of_tours_is_3,-14.129960972164627,-14.129960682683405,-12.32610034942627,0 +coef_total_number_of_tours_is_4,-17.475109164095372,-17.475108877724633,-15.811400413513184,0 +coef_transit_access_to_retail_and_discretionary,0,0,0,0 +coef_transit_access_to_retail_and_maintenance,0.25155766645491617,0.25155779901079267,0.031399998813867569,0 +coef_transit_access_to_retail_and_tour_frequency_is_5_plus,0.20940431632076822,0.20940454322004187,0.066399998962879181,0 +coef_urban_and_discretionary_tour,-1.5830257994345194,-1.5830251531049353,0.95630002021789551,0 +coef_urban_and_eatingout_tour,-15.234417103609095,-15.234413376446975,0.68000000715255737,0 +coef_urban_and_escorting_tour,0.72536698170688063,0.72536687882384698,0.85159999132156372,0 +coef_urban_and_maintenance_tour,0.32714212462203368,0.32714151482178866,1.0315999984741211,0 +coef_urban_and_shopping_tour,0.65570145569778049,0.65570112049073548,0.53299999237060547,0 +coef_urban_and_tour_frequency_is_1,-3.606247148859373,-3.6062473242509725,-1.1648000478744507,0 +coef_urban_and_tour_frequency_is_2,-4.7493707738730677,-4.7493701536929747,-2.3176999092102051,0 +coef_urban_and_tour_frequency_is_5_plus,-5.9702694637288616,-5.9702688878768999,-2.5027000904083252,0 +coef_walk_access_to_retail_and_shopping,0.10528331492362221,0.1052833269153322,0.097199998795986176,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,-1.8969002612948864,-1.8972809252170171,-0.06289999932050705,0 +coef_1_plus_eating_out_tours_constant,-2.0443889188163173,-2.0448333669216079,-0.1429000049829483,0 +coef_1_plus_maintenance_tours_constant,-7.7254359495798148,-7.7270897339714733,-0.065300002694129944,0 +coef_1_plus_other_discretionary_tours_constant,-2.0647872487949561,-2.0651921993347462,0.33340001106262207,0 +coef_1_plus_shopping_tours_constant,-1.282411214400667,-1.2827907558560692,0.46830001473426819,0 +coef_1_plus_visting_tours_constant,-2.1187265722127613,-2.119130128830065,-0.12720000743865967,0 +coef_2_plus_escort_tours_constant,-3.4882178837837579,-3.4889221159472918,0.92729997634887695,0 +coef_at_home_pre_driving_school_kid_and_escorting_tour,-0.83394458908199209,-0.83391904211683632,-1.1480000019073486,0 +coef_at_home_pre_school_kid_and_eating_out_tour,0.6315649245505468,0.63153544170594222,-0.39259999990463257,0 +coef_at_home_pre_school_kid_and_escorting_tour,-0.08455563088757391,-0.084558517582898715,-0.13729999959468842,0 +coef_auto_access_to_retail_and_maintenance,0.67210093938356752,0.67223833895969887,0.095600001513957977,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_1,0.22076749188228875,0.22093605520065349,-0.36230000853538513,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_2,-0.9349732023831957,-0.93482141743941694,-1.2719999551773071,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-2.0213316139356832,-2.0212701718601216,-1.9306999444961548,0 +coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,3.5090722695093683,3.5095724879606411,0.77380001544952393,0 +coef_female_and_maintenance_tour,-0.24827336118817248,-0.24851003473203095,-0.24639999866485596,0 +coef_female_and_tour_frequency_is_1,0.55537913022754337,0.55558571844411853,0.39019998908042908,0 +coef_female_and_tour_frequency_is_2,0.4700121436993433,0.47033652415332988,0.53229999542236328,0 +coef_female_and_tour_frequency_is_3,1.0935778897473212,1.0937278933542067,0.74519997835159302,0 +coef_female_and_tour_frequency_is_5,2.1058304843489379,2.1060351207036332,1.1294000148773193,0 +coef_high_income_group_and_discretionary_tour,0.53542200030194598,0.53532544473639576,0.88459998369216919,0 +coef_high_income_group_and_eating_out_tour,1.5430004952789953,1.5430357486801614,0.70859998464584351,0 +coef_high_income_group_and_shopping_tour,0.72248005627607348,0.72246863725799271,0.97759997844696045,0 +coef_high_income_group_and_tour_frequency_is_2,4.8659060743107148,4.8667865382550879,1.0633000135421753,0 +coef_high_income_group_and_tour_frequency_is_3,5.1569073742137981,5.1577005315354292,1.7741999626159668,0 +coef_high_income_group_and_tour_frequency_is_5_plus,5.5695995714955888,5.5703869156647645,2.3940999507904053,0 +coef_high_income_group_and_visiting_tour,-0.55652923789707232,-0.55654488685220238,-0.94489997625350952,0 +coef_logged_maximum_residual_window_tour_frequency_is_1,6.8143657923425485,6.815671298679093,1.763700008392334,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,7.4778936905915021,7.4792750296860024,1.7927999496459961,0 +coef_mediumhigh_income_group_and_discretionary_tour,0.19484718211939026,0.1949087350001007,0.50089997053146362,0 +coef_mediumhigh_income_group_and_eating_out_tour,-0.17900832259277194,-0.17895101978739814,0.46309998631477356,0 +coef_mediumhigh_income_group_and_shopping_tour,1.2056310249094397,1.2056460380629153,0.89060002565383911,0 +coef_mediumhigh_income_group_and_tour_frequency_is_1,6.1357755555537432,6.1368619389686074,0.74260002374649048,0 +coef_mediumhigh_income_group_and_tour_frequency_is_2,5.6203221150091016,5.621312928169897,0.85460001230239868,0 +coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,5.902275082711002,5.9033024674122805,1.0792000293731689,0 +coef_mediumhigh_income_group_and_visiting_tour,0.0072888420909105259,0.0072425497797064513,-0.2669999897480011,0 +coef_mediumlow_income_group_and_discretionary_tour,-0.29540295644751735,-0.29532964571554288,0.17069999873638153,0 +coef_mediumlow_income_group_and_eating_out_tour,0.65802264858986625,0.65793719500149939,0.27660000324249268,0 +coef_mediumlow_income_group_and_shopping_tour,0.5503864174305747,0.55034836543703713,0.77340000867843628,0 +coef_mediumlow_income_group_and_tour_frequency_is_1,3.6362917244942166,3.6370680682721321,0.57090002298355103,0 +coef_mediumlow_income_group_and_tour_frequency_is_5_plus,3.8030230281375874,3.8037930038540892,0.83149999380111694,0 +coef_number_of_joint_eating_out_tours,-5.7578659480764109,-5.7590292220149779,-0.77270001173019409,0 +coef_number_of_joint_shopping_tours,-10.86032878033782,-10.862820539578552,-0.23909999430179596,0 +coef_number_of_joint_tours_and_tour_frequency_is_1,-3.5806784726726657,-3.5814001794995587,-0.16990000009536743,0 +coef_number_of_joint_tours_and_tour_frequency_is_2,-5.1193513695195279,-5.1202366413321725,-0.42849999666213989,0 +coef_number_of_joint_tours_and_tour_frequency_is_3,-4.6446726603410955,-4.6456045066231875,-0.65509998798370361,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-4.8470304959707029,-4.8478742633711249,-1.041100025177002,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_1,-0.67659997940063477,-0.67659997940063477,-0.67659997940063477,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_3,-1.051800012588501,-1.051800012588501,-1.051800012588501,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_presence_of_full_time_worker_and_eating_out_tour,-1.3129272099813087,-1.3129546317286533,-0.4666999876499176,0 +coef_presence_of_full_time_worker_and_escorting_tour,0.34977167501271478,0.3497410147889421,0.39469999074935913,0 +coef_presence_of_non_worker_and_eating_out_tour,-0.40015678475147548,-0.40015646938307892,-0.49759998917579651,0 +coef_presence_of_non_worker_and_tour_frequency_is_1,1.2564012158056577,1.2568441721992365,-0.37630000710487366,0 +coef_presence_of_non_worker_and_tour_frequency_is_2,1.0428547824447958,1.0433986649176088,-0.71899998188018799,0 +coef_presence_of_non_worker_and_tour_frequency_is_5,1.6729377444156812,1.673362537920315,-1.0228999853134155,0 +coef_presence_of_part_time_worker_and_discretionary_tour,-0.46853620786950861,-0.46851175171192849,-0.35449999570846558,0 +coef_presence_of_part_time_worker_and_escorting_tour,-0.91620401760820491,-0.91626917282183395,-0.58609998226165771,0 +coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.645226868283342,1.6452028413894657,1.3773000240325928,0 +coef_presence_of_pre_school_kid_and_escorting_tour,0.73413015866674558,0.73411877105653434,0.71939998865127563,0 +coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1,-4.2717006949434637,-4.2727718042560454,0.14859999716281891,0 +coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,-4.1531060929831938,-4.1542847014169757,0.48399999737739563,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,-4.0092293410093136,-4.0100024764367959,-0.71609997749328613,0 +coef_presence_of_retiree_and_eating_out_tour,-0.98695379970331221,-0.98695373145616694,-0.69110000133514404,0 +coef_presence_of_retiree_and_tour_frequency_is_1,2.3328682638704601,2.3340717788338958,-0.46399998664855957,0 +coef_presence_of_retiree_and_tour_frequency_is_5,2.2895526967814139,2.2902926082161419,-0.47949999570846558,0 +coef_total_number_of_tours_is_1,-14.862387943118435,-14.863701190898123,-8.979100227355957,0 +coef_total_number_of_tours_is_2,-15.76114107396082,-15.762046562760142,-12.024800300598145,0 +coef_total_number_of_tours_is_3,-17.754112538361621,-17.754634820463089,-14.85159969329834,0 +coef_total_number_of_tours_is_4,-18.779593636700369,-18.779689721119343,-17.703699111938477,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_walk_access_to_retail_and_discretionary,0.21083331596043739,0.21082887854988322,0.07720000296831131,0 +coef_walk_access_to_retail_and_shopping,0.042414728322429048,0.042410061719515363,0.059799998998641968,0 +coef_walk_access_to_retail_and_tour_frequency_is_1,-0.73146719824169415,-0.73175969660042617,0.071299999952316284,0 +coef_walk_access_to_retail_and_tour_frequency_is_2,-0.6224679003604594,-0.62275823201236125,0.12559999525547028,0 +coef_walk_access_to_retail_and_tour_frequency_is_5_plus,-0.48317718182460601,-0.48343535149985983,0.15080000460147858,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,-1.3838956479528135,-1.3838955598311522,-0.39919999241828918,0 +coef_1_plus_eating_out_tours_constant,-1.2251820468944299,-1.2251815896798568,0.024499999359250069,0 +coef_1_plus_maintenance_tours_constant,-0.9467390901603373,-0.94673868292188801,0.10459999740123749,0 +coef_1_plus_other_discretionary_tours_constant,-0.95705700168035457,-0.95705640502785616,0.42820000648498535,0 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+coef_female_and_tour_frequency_is_2,-2.5245735788315185,-2.5245730541075631,-1.3028000593185425,0 +coef_female_and_tour_frequency_is_5,-3.9777594453014777,-3.9777585979711256,-2.2660000324249268,0 +coef_high_income_group_and_discretionary_tour,0.96176887062837879,0.9617690305973885,1.0095000267028809,0 +coef_high_income_group_and_eating_out_tour,1.6107399863189256,1.6107399132659015,1.4842000007629395,0 +coef_high_income_group_and_maintenance_tour,0.99860462074351897,0.99860457400478175,1.3795000314712524,0 +coef_high_income_group_and_shopping_tour,1.0955552497273626,1.0955552433296207,1.0949000120162964,0 +coef_high_income_group_and_visiting_tour,-0.62823584789675457,-0.62823569014018499,-0.51370000839233398,0 +coef_logged_maximum_residual_window_tour_frequency_is_1,2.0411409487638097,2.0411408722900823,1.8357000350952148,0 +coef_logged_maximum_residual_window_tour_frequency_is_2,5.0543518983412508,5.0543512662707899,2.2706999778747559,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,5.1028111260779792,5.1028109074006487,4.4022998809814453,0 +coef_mediumhigh_income_group_and_eating_out_tour,0.9601832770329618,0.96018319037111421,1.1809999942779541,0 +coef_mediumhigh_income_group_and_maintenance_tour,0.46026894334674823,0.46026867052213322,0.76480001211166382,0 +coef_mediumhigh_income_group_and_visiting_tour,-0.47448562479929113,-0.47448576085276917,-0.43680000305175781,0 +coef_mediumlow_income_group_and_eating_out_tour,0.8587186097762155,0.85871850010116635,0.97689998149871826,0 +coef_number_of_joint_shopping_tours,-0.34163048458137285,-0.34163086120064357,-0.80720001459121704,0 +coef_number_of_joint_tours_and_tour_frequency_is_2,-7.40575378545664,-7.4057519268091907,-0.94999998807907104,0 +coef_number_of_joint_tours_and_tour_frequency_is_3,-8.2528437399202961,-8.2528434839801079,-7.1430001258850098,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_3,-5.0195999145507812,-5.0195999145507812,-5.0195999145507812,0 +coef_presence_of_full_time_worker_and_discretionary_tour,-0.32502706520068697,-0.3250272176315594,-0.48350000381469727,0 +coef_presence_of_full_time_worker_and_shopping_tour,-0.18718310533550805,-0.18718290004050162,-0.36090001463890076,0 +coef_presence_of_non_worker_and_discretionary_tour,-0.080381601681135048,-0.080381489052422414,-0.56029999256134033,0 +coef_presence_of_non_worker_and_eating_out_tour,-0.71343718792066768,-0.71343705083784981,-0.78799998760223389,0 +coef_presence_of_non_worker_and_tour_frequency_is_1,1.3664318707961971,1.3664313016982996,0.22400000691413879,0 +coef_presence_of_non_worker_and_tour_frequency_is_2,1.5541568438314686,1.5541565822514429,0.24359999597072601,0 +coef_presence_of_non_worker_and_tour_frequency_is_3,2.3378066705431362,2.3378063973066343,0.62000000476837158,0 +coef_presence_of_non_worker_and_tour_frequency_is_5,3.886799486754084,3.8867989469114872,3.3742001056671143,0 +coef_presence_of_pre_driving_school_kid_and_escorting_tour,1.6990307296529008,1.6990305339512453,1.4903000593185425,0 +coef_presence_of_pre_school_kid_and_escorting_tour,0.64317839301043844,0.64317845433272425,0.50269997119903564,0 +coef_presence_of_retiree_and_eating_out_tour,-0.93915814650169016,-0.93915820457557886,-0.92820000648498535,0 +coef_presence_of_retiree_and_tour_frequency_is_1,0.53309324048384155,0.53309327034571541,-0.44580000638961792,0 +coef_presence_of_retiree_and_tour_frequency_is_5,0.15143338882997009,0.15143298802740426,-0.53149998188018799,0 +coef_total_number_of_tours_is_1,-12.29669710898526,-12.296696353770589,-8.5684003829956055,0 +coef_total_number_of_tours_is_2,-14.366430853959836,-14.366430219226835,-12.741600036621094,0 +coef_total_number_of_tours_is_3,-15.470851663726473,-15.47085200579302,-15.097800254821777,0 +coef_total_number_of_tours_is_4,-16.697442099429654,-16.697442489781661,-19.543899536132812,0 +coef_total_number_of_tours_is_5,-23.975944547216859,-23.975943616807008,-20.789699554443359,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_walk_access_to_retail_and_tour_frequency_is_5_plus,0.50908621780365026,0.50908614236387195,0.061599999666213989,0 +coef_0_auto_household_and_escorting_tour,-2.4007662488833401,-2.4007662488833401,-2,0 +coef_1_escort_tour_constant,-11.100045881453859,-11.100045881453859,-0.49340000748634338,0 +coef_1_plus_eating_out_tours_constant,-12.674000548814972,-12.674000548814972,-0.024199999868869781,0 +coef_1_plus_maintenance_tours_constant,1.4021937042970116,1.4021937042970116,-0.43439999222755432,0 +coef_1_plus_other_discretionary_tours_constant,-2.4760858637499221,-2.4760858637499221,-0.26019999384880066,0 +coef_1_plus_shopping_tours_constant,5.1109144099794959,5.1109144099794959,0.53200000524520874,0 +coef_1_plus_visting_tours_constant,5.1132912897133904,5.1132912897133904,0.23669999837875366,0 +coef_2_plus_escort_tours_constant,-4.7231718945294894,-4.7231718945294894,1.4155000448226929,0 +coef_auto_access_to_retail_and_tour_frequency_is_5_plus,-2.8928262121700787,-2.8928262121700787,0.10040000081062317,0 +coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus,-23.462489242832998,-23.462489242832998,-0.63690000772476196,0 +coef_car_surplus_vs_workers_and_tour_frequency_is_1,-11.054245969090358,-11.054245969090358,0.29019999504089355,0 +coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus,26.810453753037919,26.810453753037919,2.0352001190185547,0 +coef_high_income_group_and_discretionary_tour,9.3746353630306327,9.3746353630306327,2.3269999027252197,0 +coef_high_income_group_and_eating_out_tour,-8.894067988889379,-8.894067988889379,0.49160000681877136,0 +coef_high_income_group_and_maintenance_tour,-0.37810556759048242,-0.37810556759048242,0.39820000529289246,0 +coef_high_income_group_and_shopping_tour,-0.46662150365308386,-0.46662150365308386,0.2442999929189682,0 +coef_high_income_group_and_visiting_tour,-0.46885622247201569,-0.46885622247201569,0.28580000996589661,0 +coef_logged_maximum_residual_window_tour_frequency_is_1,15.538672905979983,15.538672905979983,1.329800009727478,0 +coef_logged_maximum_residual_window_tour_frequency_is_2,-15.31294086052077,-15.31294086052077,1.3759000301361084,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,-2.8783154540415228,-2.8783154540415228,3.2808001041412354,0 +coef_mediumhigh_income_group_and_discretionary_tour,2.8464215562810216,2.8464215562810216,1.4049999713897705,0 +coef_mediumlow_income_group_and_discretionary_tour,-7.8393223758039596,-7.8393223758039596,0.91689997911453247,0 +coef_number_of_joint_tours_and_tour_frequency_is_1,-6.5374366056093152,-6.5374366056093152,-0.21619999408721924,0 +coef_number_of_joint_tours_and_tour_frequency_is_2,-4.4265938354565844,-4.4265938354565844,-0.35870000720024109,0 +coef_number_of_joint_tours_and_tour_frequency_is_3,-4.2928228670338138,-4.2928228670338138,-4.2701001167297363,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_1,-20.768569059727319,-20.768569059727319,-0.23399999737739563,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_2,13.166961657521094,13.166961657521094,-0.92309999465942383,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_3,-9.1884865390771271,-9.1884865390771271,-6.5834999084472656,0 +coef_presence_of_driving_school_kid_and_discretionary_tour,-1.5287699271825661,-1.5287699271825661,-0.92019999027252197,0 +coef_presence_of_driving_school_kid_and_eating_out_tour,-0.67899286342910536,-0.67899286342910536,-0.63770002126693726,0 +coef_presence_of_non_worker_and_tour_frequency_is_2,7.8203518915786985,7.8203518915786985,-0.65710002183914185,0 +coef_presence_of_non_worker_and_tour_frequency_is_5,-2.3380879397360088,-2.3380879397360088,-1.4043999910354614,0 +coef_presence_of_pre_driving_school_kid_and_eating_out_tour,-2.8548975360289837,-2.8548975360289837,-1.5698000192642212,0 +coef_presence_of_pre_school_kid_and_eating_out_tour,-1.1155840296979183,-1.1155840296979183,-0.2987000048160553,0 +coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1,7.9990670481874249,7.9990670481874249,-0.32190001010894775,0 +coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,9.8647248326504506,9.8647248326504506,-1.087399959564209,0 +coef_presence_of_university_student_and_discretionary_tour,4.5866749933879518,4.5866749933879518,-1.2834000587463379,0 +coef_total_number_of_tours_is_1,5.7323576505278915,5.7323576505278915,-7.1505999565124512,0 +coef_total_number_of_tours_is_2,-13.716885058175075,-13.716885058175075,-11.121399879455566,0 +coef_total_number_of_tours_is_3,-24.558188200243801,-24.558188200243801,-13.175000190734863,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_urban_and_maintenance_tour,2.8759936780232791,2.8759936780232791,1.0393999814987183,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,-0.80019821892406418,-0.80019821892406418,-0.75510001182556152,0 +coef_1_plus_eating_out_tours_constant,-2.2137830257191138,-2.2137830257191138,1.1145000457763672,0 +coef_1_plus_maintenance_tours_constant,-0.87384629825268301,-0.87384629825268301,-0.50599998235702515,0 +coef_1_plus_other_discretionary_tours_constant,0.6794818887801406,0.6794818887801406,0.46340000629425049,0 +coef_1_plus_shopping_tours_constant,1.9914236119221842,1.9914236119221842,0.47830000519752502,0 +coef_1_plus_visting_tours_constant,-1.1732951429240632,-1.1732951429240632,-0.40059998631477356,0 +coef_2_plus_escort_tours_constant,-0.52085404537857938,-0.52085404537857938,-0.0086000002920627594,0 +coef_auto_access_to_retail_and_escorting,0.14995921405552753,0.14995921405552753,0.06289999932050705,0 +coef_high_income_group_and_eating_out_tour,-1.2746622030953361,-1.2746622030953361,-0.70099997520446777,0 +coef_high_income_group_and_shopping_tour,-3.6565535610834519,-3.6565535610834519,-0.65060001611709595,0 +coef_high_income_group_and_tour_frequency_is_5_plus,8.6597646574930796,8.6597646574930796,2.0174999237060547,0 +coef_logged_maximum_residual_window_tour_frequency_is_5_plus,1.56299641940097,1.56299641940097,1.5602999925613403,0 +coef_mediumhigh_income_group_and_tour_frequency_is_5_plus,7.735469931243947,7.735469931243947,1.5197000503540039,0 +coef_mediumlow_income_group_and_tour_frequency_is_5_plus,6.8720130507569017,6.8720130507569017,1.0872999429702759,0 +coef_number_of_joint_maintenance_tours,-1.347599983215332,-1.347599983215332,-1.347599983215332,0 +coef_number_of_joint_tours_and_tour_frequency_is_2,-1.2555358714256173,-1.2555358714256173,-0.61489999294281006,0 +coef_number_of_joint_tours_and_tour_frequency_is_5_plus,-999,-999,-999,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_1,-5.0803581001504661,-5.0803581001504661,-1.0331000089645386,0 +coef_number_of_mandatory_tours_and_tour_frequency_is_3,-5.8935586600908669,-5.8935586600908669,-2.7444999217987061,0 +coef_presence_of_full_time_worker_and_discretionary_tour,0.19647967582561615,0.19647967582561615,0.75260001420974731,0 +coef_presence_of_non_worker_and_eating_out_tour,-1.3548917345809393,-1.3548917345809393,-1.3073999881744385,0 +coef_presence_of_non_worker_and_shopping_tour,-1.3398609967955151,-1.3398609967955151,-0.64499998092651367,0 +coef_presence_of_non_worker_and_tour_frequency_is_5,-0.42351455281362266,-0.42351455281362266,0.21770000457763672,0 +coef_presence_of_part_time_worker_and_discretionary_tour,-0.33314199741532502,-0.33314199741532502,0.37209999561309814,0 +coef_presence_of_pre_driving_school_kid_and_shopping_tour,1.4440737444047911,1.4440737444047911,0.93650001287460327,0 +coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5,0.29958946114398161,0.29958946114398161,-0.22640000283718109,0 +coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5,0.32067429398079011,0.32067429398079011,-0.44389998912811279,0 +coef_total_number_of_tours_is_1,-9.4531005722326533,-9.4531005722326533,-7.486299991607666,0 +coef_total_number_of_tours_is_2,-11.996770119024941,-11.996770119024941,-10.718000411987305,0 +coef_total_number_of_tours_is_3,-13.550028148803801,-13.550028148803801,-13.788399696350098,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_urban_and_escorting_tour,-0.6344062915018166,-0.6344062915018166,0.43520000576972961,0 +coef_walk_access_to_retail_and_eating_out,0.48030056947070726,0.48030056947070726,0.073799997568130493,0 +coef_0_auto_household_and_escorting_tour,-2,-2,-2,0 +coef_1_escort_tour_constant,0.39617684877862708,0.39617684877862708,0.36219999194145203,0 +coef_1_plus_eating_out_tours_constant,1.4990449238097932,1.4990449238097932,0.96119999885559082,0 +coef_1_plus_maintenance_tours_constant,0.71287833893706021,0.71287833893706021,0.67879998683929443,0 +coef_1_plus_other_discretionary_tours_constant,1.7799792001679569,1.7799792001679569,1.4934999942779541,0 +coef_1_plus_shopping_tours_constant,2.0942830938898398,2.0942830938898398,1.6919000148773193,0 +coef_1_plus_visting_tours_constant,0.62786207413189388,0.62786207413189388,0.4424000084400177,0 +coef_2_plus_escort_tours_constant,2.1826221262636776,2.1826221262636776,2.2218999862670898,0 +coef_discretionary_tour,1.1894792030289798,1.1894792030289798,0.90299999713897705,0 +coef_escorting_tour,2.4464210738878447,2.4464210738878447,2.4909999370574951,0 +coef_maintenance_tour,1.0560783072750726,1.0560783072750726,1.0219999551773071,0 +coef_presence_of_full_time_worker_and_escorting_tour,-0.6300922367614431,-0.6300922367614431,-0.89300000667572021,0 +coef_presence_of_non_worker_and_discretionary_tour,-0.0080480967981517125,-0.0080480967981517125,0.79100000858306885,0 +coef_presence_of_non_worker_and_eating_out_tour,1.1025455434303448,1.1025455434303448,1.156999945640564,0 +coef_presence_of_non_worker_and_escorting_tour,0.86673078874996601,0.86673078874996601,0.88999998569488525,0 +coef_presence_of_non_worker_and_shopping_tour,0.20878201493509621,0.20878201493509621,0.80800002813339233,0 +coef_presence_of_part_time_worker_and_eating_out_tour,1.3767801830490909,1.3767801830490909,1.0369999408721924,0 +coef_presence_of_part_time_worker_and_shopping_tour,1.0143615015555587,1.0143615015555587,1.1549999713897705,0 +coef_total_number_of_tours_is_1,-5.7103540103201968,-5.7103540103201968,-5.7589998245239258,0 +coef_total_number_of_tours_is_2,-11.596952013557841,-11.596952013557841,-11.517000198364258,0 +coef_total_number_of_tours_is_3,-16.568257064319742,-16.568257064319742,-17.275999069213867,0 +coef_total_number_of_tours_is_4,-23.18757470591768,-23.18757470591768,-23.034999847412109,0 +coef_total_number_of_tours_is_6_plus,-999,-999,-999,0 +coef_urban_and_discretionary_tour,0,0,0,0 +coef_visiting_or_social_tour,0.95446205949299312,0.95446205949299312,0.76899999380111694,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq_loglike.csv index 7e2418faf..9dea4a6b4 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_nonmand_tour_freq_loglike.csv @@ -1,9 +1,9 @@ ,loglike_prior,loglike_converge -0,-36.842915290359244,-13.427352349597697 -1,-1867.7130849406183,-1831.0744991065408 -2,-1076.3668030822264,-1038.9605638228181 -3,-877.44304962652359,-856.8595081575636 -4,-230.6429613110198,-225.00971520122775 -5,-806.81758251120061,-787.40004316431327 -6,-277.18561139007045,-256.78783280769073 -7,-358.3650717429976,-324.85841724064665 +0,-36.842915240821576,-13.63752199393485 +1,-1867.7130819595852,-1832.6445382071518 +2,-1076.3667995930466,-1039.2235240389089 +3,-877.44304860975865,-856.98760672658591 +4,-230.64296021604497,-225.07312798066818 +5,-806.81757896884028,-787.83786863094554 +6,-277.18561178415462,-256.90644089706086 +7,-358.36507163326337,-324.9104211327566 diff --git a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_atwork_subtour_scheduling_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_atwork_subtour_scheduling_SLSQP_.csv deleted file mode 100644 index 1e5284852..000000000 --- a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_atwork_subtour_scheduling_SLSQP_.csv +++ /dev/null @@ -1,50 +0,0 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_am_peak_end,-1.3731693426269276,-2.928312295,0,-25,25,-1.3731693426269276 -coef_am_peak_start_at_6,-20.592813760446127,-6.1567178269999996,0,-25,25,-20.592813760446127 -coef_am_peak_start_at_7,-2.8269839190766564,-4.0617081419999996,0,-25,25,-2.8269839190766564 -coef_am_peak_start_at_8,-1.1965282925054144,-2.330535201,0,-25,25,-1.1965282925054144 -coef_am_peak_start_at_9,-1.6198974929815253,-1.881593386,0,-25,25,-1.6198974929815253 -coef_dummy_for_business_related_purpose_and_duration_from_0_to_1,-0.66312907740821159,-1.5429999999999999,0,-25,25,-0.66312907740821159 -coef_dummy_for_eating_out_purpose_and_departure_at_11,1.1518273421311946,1.5109999999999999,0,-25,25,1.1518273421311946 -coef_dummy_for_eating_out_purpose_and_departure_at_12,2.6254363230451085,2.7210000000000001,0,-25,25,2.6254363230451085 -coef_dummy_for_eating_out_purpose_and_departure_at_13,2.36098076410833,2.1219999999999999,0,-25,25,2.36098076410833 -coef_dummy_for_eating_out_purpose_and_duration_of_1_hour,0.31040519075637613,0.39989999999999998,0,-25,25,0.31040519075637613 -coef_duration_of_0_hours,9.9599848609439601,-0.90668151200000002,0,-25,25,9.9599848609439601 -coef_duration_of_11_to_13_hours,-0.37405450634311865,0.29999999999999999,0,-25,25,-0.37405450634311865 -coef_duration_of_14_to_18_hours,0,0,0,0,0,0 -coef_duration_of_1_hour,0,0,0,0,0,0 -coef_duration_of_2_to_3_hours,9.1812833977279276,-1.3621758020000001,0,-25,25,9.1812833977279276 -coef_duration_of_4_to_5_hours,-0.48314094706644228,-0.81961761600000005,0,-25,25,-0.48314094706644228 -coef_duration_of_6_to_7_hours,10.535613300026082,1.088111072,0,-25,25,10.535613300026082 -coef_duration_of_8_to_10_hours,10.402182684572614,1.734038505,0,-25,25,10.402182684572614 -coef_duration_shift_for_business_related_,0.60004385998820309,0.2646,0,-25,25,0.60004385998820309 -coef_duration_shift_for_first_sub_tour_of_same_work_tour,0.31988469057309121,-0.3992,0,-25,25,0.31988469057309121 -coef_duration_shift_for_inbound_auto_travel_time_off_peak,-0.11857498443158188,0.0098099999999999993,0,-25,25,-0.11857498443158188 -coef_duration_shift_for_number_of_individual_nonmandatory_tours,0.0098944086043264642,-0.042200000000000001,0,-25,25,0.0098944086043264642 -coef_duration_shift_for_number_of_joint_tours,-0.57768141215671864,-0.24970000000000001,0,-25,25,-0.57768141215671864 -coef_duration_shift_for_number_of_mandatory_tours,-1.0587875726336362,-0.7702,0,-25,25,-1.0587875726336362 -coef_duration_shift_for_outbound_auto_travel_time_off_peak,0.1453238873904982,0.0098099999999999993,0,-25,25,0.1453238873904982 -coef_duration_shift_for_subsequent_sub_tour_of_same_work_tour,-10.333603350935554,-0.18440000000000001,0,-25,25,-10.333603350935554 -coef_early_end_at_5_6,-25,-2.928312295,0,-25,25,-25 -coef_early_start_at_5,-2.2040675056867611,-7.7655484760000002,0,-25,25,-2.2040675056867611 -coef_evening_end_at_19_20_21,-4.5210371252389265,-2.3199822600000002,0,-25,25,-4.5210371252389265 -coef_evening_start_at_19_20_21,-0.32574110086394298,-1.015090023,0,-25,25,-0.32574110086394298 -coef_late_end_at_22_23,-11.516564630810274,-2.3199822600000002,0,-25,25,-11.516564630810274 -coef_late_start_at_22_23,-5.1429250271310103,-0.73757005399999997,0,-25,25,-5.1429250271310103 -coef_midday_end_at_10_11_12,-1.3051956922349568,-2.2972643740000001,0,-25,25,-1.3051956922349568 -coef_midday_end_at_13_14,0,0,0,0,0,0 -coef_midday_start_at_10_11_12,0,0,0,0,0,0 -coef_midday_start_at_13_14_15,-1.0515620376346457,-0.77502157999999999,0,-25,25,-1.0515620376346457 -coef_pm_peak_end_at_15,-1.4329808631274803,-0.57834445700000003,0,-25,25,-1.4329808631274803 -coef_pm_peak_end_at_16,-2.0551088799651303,-1.09408722,0,-25,25,-2.0551088799651303 -coef_pm_peak_end_at_17,-2.4042523970600072,-1.1658466000000001,0,-25,25,-2.4042523970600072 -coef_pm_peak_end_at_18,-3.5003721078254548,-1.4961310809999999,0,-25,25,-3.5003721078254548 -coef_pm_peak_start_at_16_17_18,-0.7985883513777744,-0.227528489,0,-25,25,-0.7985883513777744 -coef_start_shift_for_business_related_,-0.083357458155514152,-0.1113,0,-25,25,-0.083357458155514152 -coef_start_shift_for_first_sub_tour_of_same_work_tour,-0.16832429973206386,-0.54330000000000001,0,-25,25,-0.16832429973206386 -coef_start_shift_for_inbound_auto_travel_time_off_peak,-0.09901878555282706,0.00064999999999999997,0,-25,25,-0.09901878555282706 -coef_start_shift_for_number_of_individual_nonmandatory_tours,0.026776673811965086,-0.012800000000000001,0,-25,25,0.026776673811965086 -coef_start_shift_for_number_of_joint_tours,-0.019721699715671427,-0.0206,0,-25,25,-0.019721699715671427 -coef_start_shift_for_number_of_mandatory_tours,0.059018046122538706,-0.019300000000000001,0,-25,25,0.059018046122538706 -coef_start_shift_for_outbound_auto_travel_time_off_peak,0.10034873691181434,0.00064999999999999997,0,-25,25,0.10034873691181434 -coef_start_shift_for_subsequent_sub_tour_of_same_work_tour,-0.36020623998165718,-0.18440000000000001,0,-25,25,-0.36020623998165718 diff --git a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_joint_tour_scheduling_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_joint_tour_scheduling_SLSQP_.csv index 091e76401..51f0e0522 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_joint_tour_scheduling_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_joint_tour_scheduling_SLSQP_.csv @@ -1,60 +1,60 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,-0.028774249414067657,-0.025700000000000001,0,-25,25,-0.028774249414067657 -coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction,0.91901966813332936,-0.02734,0,-25,25,0.91901966813332936 -coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,0.03464166423412067,0.0084419999999999999,0,-25,25,0.03464166423412067 -coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction,-18.311237242705495,-0.059299999999999999,0,-25,25,-18.311237242705495 -coef_adult_with_children_in_hh_arrive_19_21,0.04436348324103874,0.33600000000000002,0,-25,25,0.04436348324103874 -coef_arrival_constants_am_peak,4.7614100686980576,-8.7288800000000002,0,-25,25,4.7614100686980576 -coef_arrival_constants_early,24.924968513710187,-8.7288800000000002,0,-25,25,24.924968513710187 -coef_arrival_constants_evening,-4.3200714359409025,-2.7489400000000002,0,-25,25,-4.3200714359409025 -coef_arrival_constants_late,-9.6327188982749732,-4.2425300000000004,0,-25,25,-9.6327188982749732 -coef_arrival_constants_midday_1,0,0,0,0,0,0 -coef_arrival_constants_midday_2,2.6541662776744461,1.40804,0,-25,25,2.6541662776744461 -coef_arrival_constants_pm_peak_1,1.8388653479429438,1.0203599999999999,0,-25,25,1.8388653479429438 -coef_arrival_constants_pm_peak_2,1.4625561851708289,1.06863,0,-25,25,1.4625561851708289 -coef_arrival_constants_pm_peak_3,0,0,0,0,0,0 -coef_arrival_constants_pm_peak_4,-1.2333276504506303,-0.59626000000000001,0,-25,25,-1.2333276504506303 -coef_departure_constants_am_peak_1,-25,-11.595050000000001,0,-25,25,-25 -coef_departure_constants_am_peak_2,-4.2487039295223656,-9.0051900000000007,0,-25,25,-4.2487039295223656 -coef_departure_constants_am_peak_3,0.75112055157913948,-2.7331500000000002,0,-25,25,0.75112055157913948 -coef_departure_constants_am_peak_4,1.3921313310397618,0.26654,0,-25,25,1.3921313310397618 -coef_departure_constants_early,-24.394585604972157,-14.477080000000001,0,-25,25,-24.394585604972157 -coef_departure_constants_evening,-14.12448484303447,-18.987369999999999,0,-25,25,-14.12448484303447 -coef_departure_constants_late,-19.873640270611908,-20.27807,0,-25,25,-19.873640270611908 -coef_departure_constants_midday_1,0,0,0,0,0,0 -coef_departure_constants_midday_2,-4.3735430875047783,-1.6026,0,-25,25,-4.3735430875047783 -coef_departure_constants_pm_peak,-12.231456579430871,-17.695979999999999,0,-25,25,-12.231456579430871 -coef_destination_in_cbd_duration_shift_effects,0.56926682397665584,0.1067,0,-25,25,0.56926682397665584 -coef_discretionary_tour_duration_lt_2_hours,-0.96979691863694628,-0.69740000000000002,0,-25,25,-0.96979691863694628 -coef_duration_constants_0_to_1_hours,-2.7866437326016174,-2.2282600000000001,0,-25,25,-2.7866437326016174 -coef_duration_constants_11_to_13_hours,-5.6834374392880065,-0.81518999999999997,0,-25,25,-5.6834374392880065 -coef_duration_constants_14_to_18_hours,-2.7347130621577005,-2.7384400000000002,0,-25,25,-2.7347130621577005 -coef_duration_constants_2_to_3_hours,0,0,0,0,0,0 -coef_duration_constants_4_to_5_hours,0.35927958946513583,-0.56174000000000002,0,-25,25,0.35927958946513583 -coef_duration_constants_6_to_7_hours,0.25829995673545386,-0.65547,0,-25,25,0.25829995673545386 -coef_duration_constants_8_to_10_hours,-10.443272918037978,-0.74061999999999995,0,-25,25,-10.443272918037978 -coef_eat_out_tour_departure_shift_effects,-0.026030105628492072,0.075490000000000002,0,-25,25,-0.026030105628492072 -coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect,-1.6735672025262123,-0.2364,0,-25,25,-1.6735672025262123 -coef_free_flow_round_trip_auto_time_shift_effects_duration,0.016957888892283637,0.0031949999999999999,0,-25,25,0.016957888892283637 -coef_maintenance_tour_depart_before_7,1.1216498838609328,-0.88260000000000005,0,-25,25,1.1216498838609328 -coef_maintenance_tour_departure_shift_effects,-0.16045036076756827,-0.1489,0,-25,25,-0.16045036076756827 -coef_maintenance_tour_duration_shift_effects,-0.15774061753063057,-0.083720000000000003,0,-25,25,-0.15774061753063057 -coef_number_of_joint_tours_departure_shift_effects,1.3426208902212988,0.052080000000000001,0,-25,25,1.3426208902212988 -coef_number_of_mandatory_tours_departure_shift_effects,0.073116531424716663,0.046730000000000001,0,-25,25,0.073116531424716663 -coef_school_child_age_16_plus_departure_shift_effects,0.072660000000000002,0.072660000000000002,0,-25,25,0.072660000000000002 -coef_school_child_age_16_plus_duration_shift_effects,0.20949999999999999,0.20949999999999999,0,-25,25,0.20949999999999999 -coef_school_child_age_under_16_departure_shift_effects,0.22437768613209164,0.04657,0,-25,25,0.22437768613209164 -coef_school_child_age_under_16_duration_shift_effects,-0.55690620785460743,0.32719999999999999,0,-25,25,-0.55690620785460743 -coef_school_child_under_16_arrive_after_22,-6.2179802555750401,-1.1799999999999999,0,-25,25,-6.2179802555750401 -coef_shopping_tour_arrive_after_22,-6.8841149173847738,-0.60270000000000001,0,-25,25,-6.8841149173847738 -coef_shopping_tour_depart_before_8,1.6329282274649815,-1.0369999999999999,0,-25,25,1.6329282274649815 -coef_shopping_tour_departure_shift_effects,-0.032901677188934476,-0.060150000000000002,0,-25,25,-0.032901677188934476 -coef_shopping_tour_duration_lt_2_hours,0.069480688387001235,0.51680000000000004,0,-25,25,0.069480688387001235 -coef_shopping_tour_duration_shift_effects,-0.41367749415560207,-0.1208,0,-25,25,-0.41367749415560207 -coef_some_previously_scheduled_tour_begins_in_this_arrival_hour,0.46823426868427825,-0.3992,0,-25,25,0.46823426868427825 -coef_some_previously_scheduled_tour_ends_in_this_departure_hour,0.26003373330967577,-0.45619999999999999,0,-25,25,0.26003373330967577 -coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect,-0.015340339657372392,-0.1731,0,-25,25,-0.015340339657372392 -coef_unavailable,-999,-999,0,-999,-999,-999 -coef_university_student_arrive_after_22,-9.1734571378829219,0.54659999999999997,0,-25,25,-9.1734571378829219 -coef_visit_tour_departure_shift_effects,-0.11236540231411092,0.096879999999999994,0,-25,25,-0.11236540231411092 -coef_visit_tour_duration_shift_effects,-0.13492097024550309,0.1638,0,-25,25,-0.13492097024550309 +param_name,value,best,initvalue,nullvalue +coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,-0.025656219142801435,-0.025656219142801435,-0.025699999183416367,0 +coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction,-0.025716469680719514,-0.025716469680719514,-0.027340000495314598,0 +coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,0.008442354676521463,0.008442354676521463,0.0084419995546340942,0 +coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction,-0.05935757810299315,-0.05935757810299315,-0.059300001710653305,0 +coef_adult_with_children_in_hh_arrive_19_21,0.5355161653253353,0.5355161653253353,0.335999995470047,0 +coef_arrival_constants_am_peak,-2.4250190851365487,-2.4250190851365487,-8.7288799285888672,0 +coef_arrival_constants_early,2.2958899169886267,2.2958899169886267,-8.7288799285888672,0 +coef_arrival_constants_evening,-3.3154480276617018,-3.3154480276617018,-2.7489399909973145,0 +coef_arrival_constants_late,-8.3307149468221589,-8.3307149468221589,-4.2425298690795898,0 +coef_arrival_constants_midday_1,0,0,0,0 +coef_arrival_constants_midday_2,1.5294906566988582,1.5294906566988582,1.4080400466918945,0 +coef_arrival_constants_pm_peak_1,1.2175035036665733,1.2175035036665733,1.020359992980957,0 +coef_arrival_constants_pm_peak_2,1.2998241903588883,1.2998241903588883,1.0686299800872803,0 +coef_arrival_constants_pm_peak_3,0,0,0,0 +coef_arrival_constants_pm_peak_4,-0.84944529895620147,-0.84944529895620147,-0.59626001119613647,0 +coef_departure_constants_am_peak_1,-24.483912895120231,-24.483912895120231,-11.595049858093262,0 +coef_departure_constants_am_peak_2,-17.791981333117047,-17.791981333117047,-9.0051898956298828,0 +coef_departure_constants_am_peak_3,-4.1499437678248832,-4.1499437678248832,-2.7331500053405762,0 +coef_departure_constants_am_peak_4,-0.2038777988755586,-0.2038777988755586,0.26653999090194702,0 +coef_departure_constants_early,-24.999999999999986,-24.999999999999986,-14.477080345153809,0 +coef_departure_constants_evening,-24.057955302201297,-24.057955302201297,-18.987369537353516,0 +coef_departure_constants_late,-25,-25,-20.278070449829102,0 +coef_departure_constants_midday_1,0,0,0,0 +coef_departure_constants_midday_2,-2.6945721193468217,-2.6945721193468217,-1.6025999784469604,0 +coef_departure_constants_pm_peak,-22.802101526690983,-22.802101526690983,-17.695980072021484,0 +coef_destination_in_cbd_duration_shift_effects,0.57637590919194726,0.57637590919194726,0.10670000314712524,0 +coef_discretionary_tour_duration_lt_2_hours,-1.2587487442550029,-1.2587487442550029,-0.69739997386932373,0 +coef_duration_constants_0_to_1_hours,-2.7292315354064538,-2.7292315354064538,-2.2282600402832031,0 +coef_duration_constants_11_to_13_hours,-16.641361610345623,-16.641361610345623,-0.81519001722335815,0 +coef_duration_constants_14_to_18_hours,-4.2019174642931754,-4.2019174642931754,-2.7384400367736816,0 +coef_duration_constants_2_to_3_hours,0,0,0,0 +coef_duration_constants_4_to_5_hours,0.041336040196562979,0.041336040196562979,-0.56173998117446899,0 +coef_duration_constants_6_to_7_hours,-0.28010083544612574,-0.28010083544612574,-0.65547001361846924,0 +coef_duration_constants_8_to_10_hours,-11.834841336602297,-11.834841336602297,-0.74062001705169678,0 +coef_eat_out_tour_departure_shift_effects,-0.191471104246424,-0.191471104246424,0.075489997863769531,0 +coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect,-0.65914361514389619,-0.65914361514389619,-0.23639999330043793,0 +coef_free_flow_round_trip_auto_time_shift_effects_duration,0.0103470192509738,0.0103470192509738,0.0031950001139193773,0 +coef_maintenance_tour_depart_before_7,-0.6995036880611385,-0.6995036880611385,-0.88260000944137573,0 +coef_maintenance_tour_departure_shift_effects,-0.51463329667967828,-0.51463329667967828,-0.14890000224113464,0 +coef_maintenance_tour_duration_shift_effects,-0.37483619241205374,-0.37483619241205374,-0.083719998598098755,0 +coef_number_of_joint_tours_departure_shift_effects,0.5518545554827089,0.5518545554827089,0.052080001682043076,0 +coef_number_of_mandatory_tours_departure_shift_effects,0.15108304860381977,0.15108304860381977,0.046730000525712967,0 +coef_school_child_age_16_plus_departure_shift_effects,0.072659999132156372,0.072659999132156372,0.072659999132156372,0 +coef_school_child_age_16_plus_duration_shift_effects,0.20949999988079071,0.20949999988079071,0.20949999988079071,0 +coef_school_child_age_under_16_departure_shift_effects,0.90140346155759687,0.90140346155759687,0.046569999307394028,0 +coef_school_child_age_under_16_duration_shift_effects,-0.36276804513883948,-0.36276804513883948,0.32719999551773071,0 +coef_school_child_under_16_arrive_after_22,-25,-25,-1.1799999475479126,0 +coef_shopping_tour_arrive_after_22,-16.816060937232734,-16.816060937232734,-0.60269999504089355,0 +coef_shopping_tour_depart_before_8,0.8484680406149383,0.8484680406149383,-1.0369999408721924,0 +coef_shopping_tour_departure_shift_effects,-0.35167841899554614,-0.35167841899554614,-0.06015000119805336,0 +coef_shopping_tour_duration_lt_2_hours,0.1873898983230104,0.1873898983230104,0.51679998636245728,0 +coef_shopping_tour_duration_shift_effects,-0.63534186935788817,-0.63534186935788817,-0.12080000340938568,0 +coef_some_previously_scheduled_tour_begins_in_this_arrival_hour,-0.25327854790648219,-0.25327854790648219,-0.39919999241828918,0 +coef_some_previously_scheduled_tour_ends_in_this_departure_hour,-0.35052002043887132,-0.35052002043887132,-0.4562000036239624,0 +coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect,-0.035834399723830755,-0.035834399723830755,-0.17309999465942383,0 +coef_unavailable,-999,-999,-999,0 +coef_university_student_arrive_after_22,-15.517205687701349,-15.517205687701349,0.54659998416900635,0 +coef_visit_tour_departure_shift_effects,-0.34370578081497799,-0.34370578081497799,0.096879996359348297,0 +coef_visit_tour_duration_shift_effects,-0.33210961592070104,-0.33210961592070104,0.16380000114440918,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_school_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_school_SLSQP_.csv index 93c03c449..047fcd6a3 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_school_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_school_SLSQP_.csv @@ -1,56 +1,56 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,11.716776044898809,-0.0030490000000000001,0,-25,25,11.716776044898809 -coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,-0.58735581754454202,-0.52710000000000001,0,-25,25,-0.58735581754454202 -coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,9.2169111822551333,0.089749999999999996,0,-25,25,9.2169111822551333 -coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,-15.186947397585952,-0.44,0,-25,25,-15.186947397585952 -coef_all_adults_ft_worker_duration,0.0083360428258746171,0.10929999999999999,0,-25,25,0.0083360428258746171 -coef_arrival_constants_am_peak,-2.2525597933199202,-2.4287183990000001,0,-25,25,-2.2525597933199202 -coef_arrival_constants_early,-1.0600927435131249,-2.4287183990000001,0,-25,25,-1.0600927435131249 -coef_arrival_constants_evening,-1.024968926440146,-0.87014690400000005,0,-25,25,-1.024968926440146 -coef_arrival_constants_late,-1.3622777646923283,-1.7520004899999999,0,-25,25,-1.3622777646923283 -coef_arrival_constants_midday_1,-1.3329442334964623,-1.237908768,0,-25,25,-1.3329442334964623 -coef_arrival_constants_midday_2,-0.56302790885535348,-0.53976893100000001,0,-25,25,-0.56302790885535348 -coef_arrival_constants_pm_peak_1,0,0,0,0,0,0 -coef_arrival_constants_pm_peak_2,-0.47120087260372584,-0.38916924800000002,0,-25,25,-0.47120087260372584 -coef_arrival_constants_pm_peak_3,-0.2889635829589125,-0.198120349,0,-25,25,-0.2889635829589125 -coef_arrival_constants_pm_peak_4,-0.42904089312882804,-0.25362468399999999,0,-25,25,-0.42904089312882804 -coef_departure_constants_am_peak_1,-1.8402276885639066,-1.6176440560000001,0,-25,25,-1.8402276885639066 -coef_departure_constants_am_peak_2,0,0,0,0,0,0 -coef_departure_constants_am_peak_3,-0.14762834941122654,-0.073826841000000004,0,-25,25,-0.14762834941122654 -coef_departure_constants_am_peak_4,-2.0052907227909373,-2.0805707689999999,0,-25,25,-2.0052907227909373 -coef_departure_constants_early,-3.6385102149182318,-3.8206624040000001,0,-25,25,-3.6385102149182318 -coef_departure_constants_evening,-5.1709311530899091,-5.2302878359999996,0,-25,25,-5.1709311530899091 -coef_departure_constants_late,-25,-11.88604728,0,-25,25,-25 -coef_departure_constants_midday_1,-3.235655391222839,-2.9857394570000002,0,-25,25,-3.235655391222839 -coef_departure_constants_midday_2,-3.7122959166670451,-3.6284346460000001,0,-25,25,-3.7122959166670451 -coef_departure_constants_pm_peak,-2.9909526474284074,-3.1025051499999998,0,-25,25,-2.9909526474284074 -coef_duration_constants_0_to_2_hours,-1.3817519840859342,-1.409955689,0,-25,25,-1.3817519840859342 -coef_duration_constants_10_hours,-0.85439568067710703,-0.90478898299999999,0,-25,25,-0.85439568067710703 -coef_duration_constants_11_hours,-1.0970644700531507,-1.5211626039999999,0,-25,25,-1.0970644700531507 -coef_duration_constants_12_to_13_hours,-2.6774099148644868,-2.4184889169999999,0,-25,25,-2.6774099148644868 -coef_duration_constants_14_to_18_hours,-2.6488356018470931,-2.5031372950000002,0,-25,25,-2.6488356018470931 -coef_duration_constants_3_to_4_hours,-0.56119226026187308,-0.74589325200000001,0,-25,25,-0.56119226026187308 -coef_duration_constants_5_to_6_hours,-0.52869720683509602,-0.56763662199999998,0,-25,25,-0.52869720683509602 -coef_duration_constants_7_to_8_hours,0,0,0,0,0,0 -coef_duration_constants_9_hours,-0.47578654406256893,-0.65080668399999997,0,-25,25,-0.47578654406256893 -coef_first_of_2plus_school_lt_6_hours,0.36465272850981928,1.4870000000000001,0,-25,25,0.36465272850981928 -coef_first_of_2plus_school_tours_departure,-0.28345842741237504,-0.30020000000000002,0,-25,25,-0.28345842741237504 -coef_first_of_2plus_school_tours_duration,-0.0072205064801072029,-0.1593,0,-25,25,-0.0072205064801072029 -coef_ft_worker_departure,0.39710000000000001,0.39710000000000001,0,-25,25,0.39710000000000001 -coef_ft_worker_duration,-0.1908,-0.1908,0,-25,25,-0.1908 -coef_hh_income_early_departure,-12.781415662231149,-0.88370000000000004,0,-25,25,-12.781415662231149 -coef_hh_income_late_arrival,0.13481375603358139,-0.3533,0,-25,25,0.13481375603358139 -coef_mode_choice_logsum,-0.15485890248282916,2.1269999999999998,0,-25,25,-0.15485890248282916 -coef_non_worker_departure,0.55389999999999995,0.55389999999999995,0,-25,25,0.55389999999999995 -coef_previous_tour_begins_this_arrival_hour,-5.5053579900953125,-1.1020000000000001,0,-25,25,-5.5053579900953125 -coef_previous_tour_ends_this_departure_hour,-15.038466619861389,-0.59950000000000003,0,-25,25,-15.038466619861389 -coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours,-24.999999999999979,-16.670000000000002,0,-25,25,-24.999999999999979 -coef_roundtrip_auto_time_to_work,0.0053019952333040361,0.0031949999999999999,0,-25,25,0.0053019952333040361 -coef_school_plus_work_tours_by_student_lt_6_hours,-1.1660913354672906,1.73,0,-25,25,-1.1660913354672906 -coef_school_plus_work_tours_by_worker_lt_6_hours,-0.75409133546729057,2.1419999999999999,0,-25,25,-0.75409133546729057 -coef_student_driver_duration,-0.0068046815074113429,0.034639999999999997,0,-25,25,-0.0068046815074113429 -coef_subsequent_2plus_school_tours_duration,-0.21896654709477803,-0.23380000000000001,0,-25,25,-0.21896654709477803 -coef_subsequent_of_2plus_school_lt_6_hours,24.999999999999982,2.1419999999999999,0,-25,25,24.999999999999982 -coef_subsequent_tour_must_start_after_previous_tour_ends,-100,-100,0,-100,-100,-100 -coef_univ_departure,0.22263900806749343,0.28000000000000003,0,-25,25,0.22263900806749343 -coef_univ_duration,-0.41672805296299825,-0.29070000000000001,0,-25,25,-0.41672805296299825 +param_name,value,best,initvalue,nullvalue +coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,0.080775447776812753,0.080774252667694169,-0.0030489999335259199,0 +coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,-0.51836135663447769,-0.51836174434913773,-0.52710002660751343,0 +coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,0.73433095650246494,0.73432154552615458,0.089749999344348907,0 +coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,-0.99378159059164084,-0.99377515349106949,-0.43999999761581421,0 +coef_all_adults_ft_worker_duration,0.033395472694728347,0.033395444616199747,0.10930000245571136,0 +coef_arrival_constants_am_peak,-2.1992574993931737,-2.1992595446798857,-2.4287183284759521,0 +coef_arrival_constants_early,-1.0152816371137836,-1.0152823898389056,-2.4287183284759521,0 +coef_arrival_constants_evening,-1.089014071549075,-1.089012444258362,-0.87014693021774292,0 +coef_arrival_constants_late,-1.4094125261836428,-1.4094104317113427,-1.7520004510879517,0 +coef_arrival_constants_midday_1,-1.3102781509339738,-1.3102792663184144,-1.2379087209701538,0 +coef_arrival_constants_midday_2,-0.5570164575887101,-0.55701686342809786,-0.53976893424987793,0 +coef_arrival_constants_pm_peak_1,0,0,0,0 +coef_arrival_constants_pm_peak_2,-0.48446733503368733,-0.48446736247771904,-0.38916924595832825,0 +coef_arrival_constants_pm_peak_3,-0.31506510944596333,-0.31506390971297477,-0.1981203556060791,0 +coef_arrival_constants_pm_peak_4,-0.4718642141386703,-0.4718634888383082,-0.25362467765808105,0 +coef_departure_constants_am_peak_1,-1.8553572932845479,-1.8553571741469013,-1.6176440715789795,0 +coef_departure_constants_am_peak_2,0,0,0,0 +coef_departure_constants_am_peak_3,-0.14106707640383398,-0.14106757305590037,-0.07382684201002121,0 +coef_departure_constants_am_peak_4,-1.9882913840565575,-1.988292157571423,-2.0805706977844238,0 +coef_departure_constants_early,-3.6786226227417624,-3.6786220135061134,-3.8206624984741211,0 +coef_departure_constants_evening,-5.2925208449121817,-5.2925240767147788,-5.230288028717041,0 +coef_departure_constants_late,-11.916832030849566,-11.916831561227097,-11.88604736328125,0 +coef_departure_constants_midday_1,-3.2113751054704132,-3.2113771777110944,-2.9857394695281982,0 +coef_departure_constants_midday_2,-3.6981526513555871,-3.6981547479895061,-3.6284346580505371,0 +coef_departure_constants_pm_peak,-2.9973467155658162,-2.9973494814295885,-3.1025052070617676,0 +coef_duration_constants_0_to_2_hours,-1.3996475888297963,-1.3996458652500943,-1.4099557399749756,0 +coef_duration_constants_10_hours,-0.82164737941042931,-0.82164784328828933,-0.90478897094726562,0 +coef_duration_constants_11_hours,-1.0464064831927971,-1.0464075406530777,-1.5211626291275024,0 +coef_duration_constants_12_to_13_hours,-2.5901815246633957,-2.5901814921437252,-2.4184889793395996,0 +coef_duration_constants_14_to_18_hours,-2.5870585605577858,-2.5870607126569682,-2.5031373500823975,0 +coef_duration_constants_3_to_4_hours,-0.56514744374131198,-0.56514595486014574,-0.74589323997497559,0 +coef_duration_constants_5_to_6_hours,-0.53548913813929444,-0.53548808091419775,-0.56763660907745361,0 +coef_duration_constants_7_to_8_hours,0,0,0,0 +coef_duration_constants_9_hours,-0.45285392800018198,-0.4528543455236822,-0.65080666542053223,0 +coef_first_of_2plus_school_lt_6_hours,0.024871811138907744,0.024881803705537723,1.4869999885559082,0 +coef_first_of_2plus_school_tours_departure,-0.29460766022668305,-0.29460728950989984,-0.30019998550415039,0 +coef_first_of_2plus_school_tours_duration,-0.10138864589931282,-0.10138705511807192,-0.15929999947547913,0 +coef_ft_worker_departure,0.39710000157356262,0.39710000157356262,0.39710000157356262,0 +coef_ft_worker_duration,-0.19079999625682831,-0.19079999625682831,-0.19079999625682831,0 +coef_hh_income_early_departure,-2.4518333628592055,-2.4518122384333916,-0.88370001316070557,0 +coef_hh_income_late_arrival,0.0099574185770053714,0.0099600258474820229,-0.35330000519752502,0 +coef_mode_choice_logsum,0.10646038792012041,0.10645974892637354,2.127000093460083,0 +coef_non_worker_departure,0.55390000343322754,0.55390000343322754,0.55390000343322754,0 +coef_previous_tour_begins_this_arrival_hour,-1.1044099604419229,-1.1044099196469588,-1.1019999980926514,0 +coef_previous_tour_ends_this_departure_hour,-0.98618911184573188,-0.98618197798375551,-0.59950000047683716,0 +coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours,-16.801395249039167,-16.801393279303245,-16.670000076293945,0 +coef_roundtrip_auto_time_to_work,0.0052250922026635376,0.0052251100813601051,0.0031950001139193773,0 +coef_school_plus_work_tours_by_student_lt_6_hours,1.7724913916824447,1.7724908031221758,1.7300000190734863,0 +coef_school_plus_work_tours_by_worker_lt_6_hours,2.1844913325546376,2.1844907439943686,2.1419999599456787,0 +coef_student_driver_duration,-0.0049771487710083039,-0.0049771201652761641,0.034639999270439148,0 +coef_subsequent_2plus_school_tours_duration,-0.22458834432940281,-0.22458959182491992,-0.23379999399185181,0 +coef_subsequent_of_2plus_school_lt_6_hours,2.8438198153956726,2.8438099345673602,2.1419999599456787,0 +coef_subsequent_tour_must_start_after_previous_tour_ends,-100,-100,-100,0 +coef_univ_departure,0.23875445577073184,0.23875440862293787,0.2800000011920929,0 +coef_univ_duration,-0.40329629710371528,-0.40329638768202386,-0.29069998860359192,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_work_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_work_SLSQP_.csv index 9465192ef..70e5cc97c 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_work_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_mandatory_tour_scheduling_work_SLSQP_.csv @@ -1,64 +1,64 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,25,0.36270000000000002,0,-25,25,25 -coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,0.67172411345437255,-0.1012,0,-25,25,0.67172411345437255 -coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,-0.2705642011106818,0.17710000000000001,0,-25,25,-0.2705642011106818 -coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,2.3126663890343506,-0.21229999999999999,0,-25,25,2.3126663890343506 -coef_arrival_constants_am_peak,-2.5608583720316691,-1.854520626,0,-25,25,-2.5608583720316691 -coef_arrival_constants_early,0,0,0,0,0,0 -coef_arrival_constants_evening,-0.11313543070951976,0.103566251,0,-25,25,-0.11313543070951976 -coef_arrival_constants_late,-1.2047708015331426,-0.96595733900000003,0,-25,25,-1.2047708015331426 -coef_arrival_constants_midday_1,-0.4666152062959858,-0.49597203699999998,0,-25,25,-0.4666152062959858 -coef_arrival_constants_midday_2,-0.37297675905912303,-0.37855408099999999,0,-25,25,-0.37297675905912303 -coef_arrival_constants_pm_peak_1,0,0,0,0,0,0 -coef_arrival_constants_pm_peak_2,0.20356469833981647,0.27608389999999999,0,-25,25,0.20356469833981647 -coef_arrival_constants_pm_peak_3,0.55940049285496218,0.699587132,0,-25,25,0.55940049285496218 -coef_arrival_constants_pm_peak_4,0.69955932869966053,0.79928937700000002,0,-25,25,0.69955932869966053 -coef_departure_constants_am_peak_1,-0.65012576984935755,-0.61618090599999997,0,-25,25,-0.65012576984935755 -coef_departure_constants_am_peak_2,0,0,0,0,0,0 -coef_departure_constants_am_peak_3,-0.32740035887947389,-0.254714726,0,-25,25,-0.32740035887947389 -coef_departure_constants_am_peak_4,-1.2190845361495699,-1.2513460240000001,0,-25,25,-1.2190845361495699 -coef_departure_constants_early,-0.92470832388900248,-0.95272526999999996,0,-25,25,-0.92470832388900248 -coef_departure_constants_evening,-1.8906229365299492,-1.610513243,0,-25,25,-1.8906229365299492 -coef_departure_constants_late,-2.9986176789858154,-2.8834152230000001,0,-25,25,-2.9986176789858154 -coef_departure_constants_midday_1,-1.8241536006077277,-1.7058689920000001,0,-25,25,-1.8241536006077277 -coef_departure_constants_midday_2,-1.8783523324805591,-1.6935705830000001,0,-25,25,-1.8783523324805591 -coef_departure_constants_pm_peak,-1.6396663560770837,-1.4399919619999999,0,-25,25,-1.6396663560770837 -coef_destination_in_cbd_departure_shift_effects,0.04109611455586798,0.047169999999999997,0,-25,25,0.04109611455586798 -coef_destination_in_cbd_duration_shift_effects,0.10130692865710192,0.086790000000000006,0,-25,25,0.10130692865710192 -coef_destination_in_cbd_early_departure_interaction,-0.38984353468069122,-0.45660000000000001,0,-25,25,-0.38984353468069122 -coef_destination_in_cbd_late_arrival_interaction,-0.27055298689359897,-0.2334,0,-25,25,-0.27055298689359897 -coef_duration_constants_0_to_2_hours,-2.1189652588431978,-2.5282663900000002,0,-25,25,-2.1189652588431978 -coef_duration_constants_10_hours,0,0,0,0,0,0 -coef_duration_constants_11_hours,-0.35443610468830039,-0.34779539100000001,0,-25,25,-0.35443610468830039 -coef_duration_constants_12_to_13_hours,-1.1153352032051054,-1.0082223459999999,0,-25,25,-1.1153352032051054 -coef_duration_constants_14_to_18_hours,-1.8418267064323726,-1.701858847,0,-25,25,-1.8418267064323726 -coef_duration_constants_3_to_4_hours,-0.63573505547017051,-0.91897445700000002,0,-25,25,-0.63573505547017051 -coef_duration_constants_5_to_6_hours,-0.35577473775309831,-0.71855028799999998,0,-25,25,-0.35577473775309831 -coef_duration_constants_7_to_8_hours,-0.033757586303302736,-0.139623566,0,-25,25,-0.033757586303302736 -coef_duration_constants_9_hours,0.12934760728519379,0.055706243000000003,0,-25,25,0.12934760728519379 -coef_first_of_2plus_work_tours_departure_shift_effects,-0.27106753260112321,-0.30330000000000001,0,-25,25,-0.27106753260112321 -coef_first_of_2plus_work_tours_duration_lt_8_hrs,1.8948098471889567,1.98,0,-25,25,1.8948098471889567 -coef_first_of_2plus_work_tours_duration_shift_effects,-0.29362220747793244,-0.18609999999999999,0,-25,25,-0.29362220747793244 -coef_free_flow_round_trip_auto_time_shift_effects_departure,0.00054374628944530747,-0.00114,0,-25,25,0.00054374628944530747 -coef_free_flow_round_trip_auto_time_shift_effects_duration,0.0040398779948456849,0.0022100000000000002,0,-25,25,0.0040398779948456849 -coef_full_time_worker_10_to_12_departure_interaction,-0.66614758973349719,-0.51819999999999999,0,-25,25,-0.66614758973349719 -coef_full_time_worker_duration_lt_9_hours_interaction,-1.3694302807642016,-1.2569999999999999,0,-25,25,-1.3694302807642016 -coef_household_income_departure_shift_effects,0.00011200417166098945,0.00020799999999999999,0,-25,25,0.00011200417166098945 -coef_household_income_early_departure_interaction,-0.57489507784478577,-0.4854,0,-25,25,-0.57489507784478577 -coef_household_income_late_arrival_interaction,0.036426020508396037,-0.38390000000000002,0,-25,25,0.036426020508396037 -coef_mode_choice_logsum,0.20613495321472861,1.0269999999999999,0,-25,25,0.20613495321472861 -coef_non_working_adult_duration_shift_effects,-0.1207,-0.1207,0,-25,25,-0.1207 -coef_part_time_worker_13_to_15_arrival_interaction,0.33677938786979689,0.54330000000000001,0,-25,25,0.33677938786979689 -coef_part_time_worker_departure_shift_effects,0.089714285580281661,0.067360000000000003,0,-25,25,0.089714285580281661 -coef_previously_scheduled_tour_begins_in_this_arrival_hour,-6.6033938783133914,-1.3340000000000001,0,-25,25,-6.6033938783133914 -coef_previously_scheduled_tour_ends_in_this_departure_hour,2.4216789099176217,-0.89349999999999996,0,-25,25,2.4216789099176217 -coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours,-6.3408961734536069,-18.68,0,-25,25,-6.3408961734536069 -coef_rural_household_early_departure_interaction,0.40389999999999998,0.40389999999999998,0,-25,25,0.40389999999999998 -coef_rural_household_late_arrival_interaction,-0.34510000000000002,-0.34510000000000002,0,-25,25,-0.34510000000000002 -coef_subsequent_2plus_work_departure_tours_shift_effects,0.015346535529312815,-0.53810000000000002,0,-25,25,0.015346535529312815 -coef_subsequent_2plus_work_duration_tours_shift_effects,-0.12773109887960765,-0.31740000000000002,0,-25,25,-0.12773109887960765 -coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs,3.5917959509926001,2.5819999999999999,0,-25,25,3.5917959509926001 -coef_subsequent_tour_must_start_after_previous_tour_ends,-100,-100,0,-100,-100,-100 -coef_tours_by_student_duration_lt_8_hrs,14.705420185896203,2.5819999999999999,0,-25,25,14.705420185896203 -coef_tours_by_worker_duration_lt_8_hrs,13.036020185896209,0.91259999999999997,0,-25,25,13.036020185896209 -coef_university_student_departure_shift_effects,0.052139288632078368,0.05747,0,-25,25,0.052139288632078368 +param_name,value,best,initvalue,nullvalue +coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,0.61251353990327295,0.61251327841360381,0.36269998550415039,0 +coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,-0.48096392277398275,-0.48096399411879609,-0.10119999945163727,0 +coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,-0.2616069716319126,-0.26160684847759125,0.17710000276565552,0 +coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,-0.21226499679315533,-0.2122651617637292,-0.21230000257492065,0 +coef_arrival_constants_am_peak,-2.5606473297230243,-2.5606476523528108,-1.8545206785202026,0 +coef_arrival_constants_early,0,0,0,0 +coef_arrival_constants_evening,-0.052167725404331296,-0.052167735953000123,0.1035662516951561,0 +coef_arrival_constants_late,-1.1308494423719302,-1.1308494377605862,-0.96595734357833862,0 +coef_arrival_constants_midday_1,-0.49891346385413454,-0.49891340446037452,-0.49597203731536865,0 +coef_arrival_constants_midday_2,-0.41039411498088946,-0.41039409639542923,-0.3785540759563446,0 +coef_arrival_constants_pm_peak_1,0,0,0,0 +coef_arrival_constants_pm_peak_2,0.19372908430399155,0.19372906136658175,0.27608388662338257,0 +coef_arrival_constants_pm_peak_3,0.56028646263237181,0.5602864708684514,0.69958710670471191,0 +coef_arrival_constants_pm_peak_4,0.71571247641605751,0.71571248954657329,0.79928940534591675,0 +coef_departure_constants_am_peak_1,-0.64620733049904744,-0.6462073659079336,-0.6161808967590332,0 +coef_departure_constants_am_peak_2,0,0,0,0 +coef_departure_constants_am_peak_3,-0.32992168661687343,-0.32992174133643332,-0.2547147274017334,0 +coef_departure_constants_am_peak_4,-1.2230313612788632,-1.2230313737462095,-1.2513459920883179,0 +coef_departure_constants_early,-0.91653242223268816,-0.91653247537180627,-0.95272529125213623,0 +coef_departure_constants_evening,-1.5545124755865074,-1.5545123072441225,-1.6105132102966309,0 +coef_departure_constants_late,-3.4650976197335996,-3.4650970444155127,-2.8834152221679688,0 +coef_departure_constants_midday_1,-1.8459227529362676,-1.845922814199904,-1.7058689594268799,0 +coef_departure_constants_midday_2,-1.872714720755712,-1.8727145745963636,-1.693570613861084,0 +coef_departure_constants_pm_peak,-1.5304306861299761,-1.5304305915064496,-1.4399919509887695,0 +coef_destination_in_cbd_departure_shift_effects,0.046972898038599296,0.046972900170898703,0.047169998288154602,0 +coef_destination_in_cbd_duration_shift_effects,0.10546600473625205,0.10546600158406226,0.086790002882480621,0 +coef_destination_in_cbd_early_departure_interaction,-0.36454380057515523,-0.36454382109906797,-0.45660001039505005,0 +coef_destination_in_cbd_late_arrival_interaction,-0.34125580756261459,-0.34125584021066124,-0.23340000212192535,0 +coef_duration_constants_0_to_2_hours,-2.3611872557258775,-2.3611872136185283,-2.528266429901123,0 +coef_duration_constants_10_hours,0,0,0,0 +coef_duration_constants_11_hours,-0.36305106792718905,-0.36305106353810024,-0.34779539704322815,0 +coef_duration_constants_12_to_13_hours,-1.1336847773846157,-1.1336846557009517,-1.0082223415374756,0 +coef_duration_constants_14_to_18_hours,-1.846775754300668,-1.8467757187472769,-1.7018588781356812,0 +coef_duration_constants_3_to_4_hours,-0.69884369798611612,-0.69884383804256189,-0.91897445917129517,0 +coef_duration_constants_5_to_6_hours,-0.36088550481193393,-0.36088561328123253,-0.71855026483535767,0 +coef_duration_constants_7_to_8_hours,-0.034562406928364778,-0.03456241250333917,-0.13962356746196747,0 +coef_duration_constants_9_hours,0.12410673449583931,0.12410671848676948,0.055706243962049484,0 +coef_first_of_2plus_work_tours_departure_shift_effects,-0.27939395433691766,-0.27939398231314772,-0.30329999327659607,0 +coef_first_of_2plus_work_tours_duration_lt_8_hrs,1.6819917313175938,1.681991727718217,1.9800000190734863,0 +coef_first_of_2plus_work_tours_duration_shift_effects,-0.26704509800964044,-0.26704506536823513,-0.18610000610351562,0 +coef_free_flow_round_trip_auto_time_shift_effects_departure,-4.6712935036587893e-05,-4.6713265092855231e-05,-0.0011399999493733048,0 +coef_free_flow_round_trip_auto_time_shift_effects_duration,0.0034709225619443279,0.0034709219570404487,0.0022100000642240047,0 +coef_full_time_worker_10_to_12_departure_interaction,-0.67084155893679287,-0.67084150978347679,-0.51819998025894165,0 +coef_full_time_worker_duration_lt_9_hours_interaction,-1.3707861942780288,-1.3707861874425684,-1.2569999694824219,0 +coef_household_income_departure_shift_effects,9.8289823547548591e-05,9.8289830800329784e-05,0.00020799999765586108,0 +coef_household_income_early_departure_interaction,-0.59011172274320045,-0.59011172534232015,-0.48539999127388,0 +coef_household_income_late_arrival_interaction,-0.018847335744915452,-0.018847292627549972,-0.383899986743927,0 +coef_mode_choice_logsum,0.41216509072053042,0.41216516341709108,1.0269999504089355,0 +coef_non_working_adult_duration_shift_effects,-0.12070000171661377,-0.12070000171661377,-0.12070000171661377,0 +coef_part_time_worker_13_to_15_arrival_interaction,0.32725200921090258,0.32725199183573034,0.54329997301101685,0 +coef_part_time_worker_departure_shift_effects,0.089866833957687201,0.089866835119917624,0.067359998822212219,0 +coef_previously_scheduled_tour_begins_in_this_arrival_hour,-1.3452365484106898,-1.3452365345169786,-1.3339999914169312,0 +coef_previously_scheduled_tour_ends_in_this_departure_hour,-0.62131382592128181,-0.62131390854231106,-0.89349997043609619,0 +coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours,-18.639061018727794,-18.639061062575436,-18.680000305175781,0 +coef_rural_household_early_departure_interaction,0.40389999747276306,0.40389999747276306,0.40389999747276306,0 +coef_rural_household_late_arrival_interaction,-0.34509998559951782,-0.34509998559951782,-0.34509998559951782,0 +coef_subsequent_2plus_work_departure_tours_shift_effects,-0.3844333665111534,-0.38443334417322472,-0.53810000419616699,0 +coef_subsequent_2plus_work_duration_tours_shift_effects,-0.38214881037696108,-0.38214876273993459,-0.3174000084400177,0 +coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs,1.2383538709437807,1.2383542865170418,2.5820000171661377,0 +coef_subsequent_tour_must_start_after_previous_tour_ends,-100,-100,-100,0 +coef_tours_by_student_duration_lt_8_hrs,2.6806620027310135,2.6806618957074346,2.5820000171661377,0 +coef_tours_by_worker_duration_lt_8_hrs,1.0112619663960221,1.0112618593724432,0.91259998083114624,0 +coef_university_student_departure_shift_effects,0.068330955102533286,0.068330906364886979,0.05747000128030777,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_non_mandatory_tour_scheduling_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_non_mandatory_tour_scheduling_SLSQP_.csv index 68cc071e8..3c8980345 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_non_mandatory_tour_scheduling_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_scheduling_model_non_mandatory_tour_scheduling_SLSQP_.csv @@ -1,90 +1,90 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,0.4470328861441506,-0.025700000000000001,0,-25,25,0.4470328861441506 -coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,0.56540266502429914,-0.02734,0,-25,25,0.56540266502429914 -coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,1.0259323894447316,0.0084419999999999999,0,-25,25,1.0259323894447316 -coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,0.39614317482379957,-0.059299999999999999,0,-25,25,0.39614317482379957 -coef_adult_with_children_in_hh_arrive_19_21,0.31331407963369601,0.33600000000000002,0,-25,25,0.31331407963369601 -coef_arrival_constants_am_peak,0.29950075228772494,-1.814822602,0,-25,25,0.29950075228772494 -coef_arrival_constants_early,2.725267289110473,-0.051990748000000003,0,-25,25,2.725267289110473 -coef_arrival_constants_evening,0,0,0,0,0,0 -coef_arrival_constants_late,-1.1446323020070934,-0.86667131500000005,0,-25,25,-1.1446323020070934 -coef_arrival_constants_midday_1,1.3878018540712422,0.00037150099999999999,0,-25,25,1.3878018540712422 -coef_arrival_constants_midday_2,1.5044255895039795,0.53211603100000004,0,-25,25,1.5044255895039795 -coef_arrival_constants_pm_peak_1,1.3575212925702953,0.62848156700000002,0,-25,25,1.3575212925702953 -coef_arrival_constants_pm_peak_2,1.5579462028570845,0.65052141600000002,0,-25,25,1.5579462028570845 -coef_arrival_constants_pm_peak_3,1.0806181769202525,0.40289440599999998,0,-25,25,1.0806181769202525 -coef_arrival_constants_pm_peak_4,0.69735759210419612,0.154213293,0,-25,25,0.69735759210419612 -coef_departure_constants_am_peak_1,-0.52735012006812276,-0.65416357300000005,0,-25,25,-0.52735012006812276 -coef_departure_constants_am_peak_2,1.1919565496484956,0.554282571,0,-25,25,1.1919565496484956 -coef_departure_constants_am_peak_3,1.4522880996476126,1.0505610869999999,0,-25,25,1.4522880996476126 -coef_departure_constants_am_peak_4,1.5114204226663379,0.97156822799999998,0,-25,25,1.5114204226663379 -coef_departure_constants_early,-0.92104869293940328,-1.7401356610000001,0,-25,25,-0.92104869293940328 -coef_departure_constants_evening,-1.892558890126933,-1.856475096,0,-25,25,-1.892558890126933 -coef_departure_constants_late,-5.6265216713840269,-8.2288801409999994,0,-25,25,-5.6265216713840269 -coef_departure_constants_midday_1,1.3642337556324493,0.88199198599999995,0,-25,25,1.3642337556324493 -coef_departure_constants_midday_2,0.64556751877721019,0.411103634,0,-25,25,0.64556751877721019 -coef_departure_constants_pm_peak,0,0,0,0,0,0 -coef_destination_in_cbd_duration_shift_effects,0.11545735776937631,0.1067,0,-25,25,0.11545735776937631 -coef_discretionary_tour_duration_lt_2_hours,-0.28570443543294716,-0.69740000000000002,0,-25,25,-0.28570443543294716 -coef_duration_constants_0_to_1_hours,0,0,0,0,0,0 -coef_duration_constants_11_to_13_hours,-1.0074136237311473,-0.955635554,0,-25,25,-1.0074136237311473 -coef_duration_constants_14_to_18_hours,-2.9449650044604194,-1.042580879,0,-25,25,-2.9449650044604194 -coef_duration_constants_2_to_3_hours,0.3987726313758776,0.051385565000000001,0,-25,25,0.3987726313758776 -coef_duration_constants_4_to_5_hours,-0.27952507767146284,-0.59395132100000003,0,-25,25,-0.27952507767146284 -coef_duration_constants_6_to_7_hours,-0.65619904538586438,-0.95115532800000002,0,-25,25,-0.65619904538586438 -coef_duration_constants_8_to_10_hours,-0.62326492676484069,-0.828108399,0,-25,25,-0.62326492676484069 -coef_eat_out_tour_departure_shift_effects,0.10408922995281709,0.075490000000000002,0,-25,25,0.10408922995281709 -coef_escort_tour_arrival_constants_am_peak,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_early,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_evening,-0.8931637699400693,-0.53691872799999996,0,-25,25,-0.8931637699400693 -coef_escort_tour_arrival_constants_late,-1.1770797692787565,-1.008290213,0,-25,25,-1.1770797692787565 -coef_escort_tour_arrival_constants_midday_1,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_midday_2,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_pm_peak_1,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_pm_peak_2,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_pm_peak_3,0,0,0,0,0,0 -coef_escort_tour_arrival_constants_pm_peak_4,0,0,0,0,0,0 -coef_escort_tour_departure_constants_am_peak_1,0.48291466233476604,-1.1123577529999999,0,-25,25,0.48291466233476604 -coef_escort_tour_departure_constants_am_peak_2,2.0132225505169186,0.69878818499999995,0,-25,25,2.0132225505169186 -coef_escort_tour_departure_constants_am_peak_3,2.1327074544894873,1.1962688130000001,0,-25,25,2.1327074544894873 -coef_escort_tour_departure_constants_am_peak_4,0.29911257358855436,-0.22525822100000001,0,-25,25,0.29911257358855436 -coef_escort_tour_departure_constants_early,-0.5151665525123571,-1.7401356610000001,0,-25,25,-0.5151665525123571 -coef_escort_tour_departure_constants_evening,-4.7638859598327503,-3.9487328110000002,0,-25,25,-4.7638859598327503 -coef_escort_tour_departure_constants_late,-6.5766274559402813,-8.2288801409999994,0,-25,25,-6.5766274559402813 -coef_escort_tour_departure_constants_midday_1,0.64080123578544568,0.028662017000000001,0,-25,25,0.64080123578544568 -coef_escort_tour_departure_constants_midday_2,0,0,0,0,0,0 -coef_escort_tour_departure_constants_pm_peak,-1.78947739154685,-1.180140161,0,-25,25,-1.78947739154685 -coef_escort_tour_duration_constants_0_to_1_hours,0,0,0,0,0,0 -coef_escort_tour_duration_constants_11_to_13_hours,-6.4203324936004007,-2.9743649759999999,0,-25,25,-6.4203324936004007 -coef_escort_tour_duration_constants_14_to_18_hours,-9.2410499900666672,-2.5074471460000001,0,-25,25,-9.2410499900666672 -coef_escort_tour_duration_constants_2_to_3_hours,-2.600430326093385,-2.0420138969999999,0,-25,25,-2.600430326093385 -coef_escort_tour_duration_constants_4_to_5_hours,-3.5279045037998431,-2.880293896,0,-25,25,-3.5279045037998431 -coef_escort_tour_duration_constants_6_to_7_hours,-3.9930263301758195,-2.9735337309999998,0,-25,25,-3.9930263301758195 -coef_escort_tour_duration_constants_8_to_10_hours,-5.1822459061747068,-3.0202137580000001,0,-25,25,-5.1822459061747068 -coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect,-0.30486234400858059,-0.2364,0,-25,25,-0.30486234400858059 -coef_free_flow_round_trip_auto_time_shift_effects_duration,0.0050429319781780269,0.0047410000000000004,0,-25,25,0.0050429319781780269 -coef_maintenance_tour_depart_before_7,0.052350894248540496,-0.88260000000000005,0,-25,25,0.052350894248540496 -coef_maintenance_tour_departure_shift_effects,-0.041432645424667555,-0.1489,0,-25,25,-0.041432645424667555 -coef_maintenance_tour_duration_shift_effects,-0.11717847942290449,-0.083720000000000003,0,-25,25,-0.11717847942290449 -coef_number_of_escort_tours_departure_shift_effects,0.1003621581289256,0.020129999999999999,0,-25,25,0.1003621581289256 -coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects,0.098215723941853808,0.038960000000000002,0,-25,25,0.098215723941853808 -coef_number_of_joint_tours_departure_shift_effects,0.12273335177942903,0.052080000000000001,0,-25,25,0.12273335177942903 -coef_number_of_mandatory_tours_departure_shift_effects,0.1726876041064854,0.046730000000000001,0,-25,25,0.1726876041064854 -coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours,5.7502384461866223,-13.630000000000001,0,-25,25,5.7502384461866223 -coef_school_child_age_16_plus_departure_shift_effects,0.002334001767561128,0.072660000000000002,0,-25,25,0.002334001767561128 -coef_school_child_age_16_plus_duration_shift_effects,0.30512330091593426,0.20949999999999999,0,-25,25,0.30512330091593426 -coef_school_child_age_under_16_departure_shift_effects,0.1028104094868405,0.04657,0,-25,25,0.1028104094868405 -coef_school_child_age_under_16_duration_shift_effects,0.33667040040989843,0.32719999999999999,0,-25,25,0.33667040040989843 -coef_school_child_under_16_arrive_after_22,-0.29870062575080597,-1.1799999999999999,0,-25,25,-0.29870062575080597 -coef_shopping_tour_arrive_after_22,-2.4414941640980703,-0.60270000000000001,0,-25,25,-2.4414941640980703 -coef_shopping_tour_depart_before_8,-0.84790437236499061,-1.0369999999999999,0,-25,25,-0.84790437236499061 -coef_shopping_tour_departure_shift_effects,0.0090862416686240035,-0.060150000000000002,0,-25,25,0.0090862416686240035 -coef_shopping_tour_duration_lt_2_hours,0.912982413595951,0.51680000000000004,0,-25,25,0.912982413595951 -coef_shopping_tour_duration_shift_effects,-0.08012681553606732,-0.1208,0,-25,25,-0.08012681553606732 -coef_some_previously_scheduled_tour_begins_in_this_arrival_hour,-0.004765610611209883,-0.3992,0,-25,25,-0.004765610611209883 -coef_some_previously_scheduled_tour_ends_in_this_departure_hour,-0.28646699211356075,-0.45619999999999999,0,-25,25,-0.28646699211356075 -coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect,-0.10477927540016083,-0.1731,0,-25,25,-0.10477927540016083 -coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends,-999,-999,0,-999,-999,-999 -coef_university_student_arrive_after_22,-0.4840281170137713,0.54659999999999997,0,-25,25,-0.4840281170137713 -coef_visit_tour_departure_shift_effects,0.1674492151765343,0.096879999999999994,0,-25,25,0.1674492151765343 -coef_visit_tour_duration_shift_effects,0.15890840399796446,0.1638,0,-25,25,0.15890840399796446 +param_name,value,best,initvalue,nullvalue +coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction,-0.37873530652415688,-0.37876029334525779,-0.025699999183416367,0 +coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,-0.12409933488783795,-0.12412525709082863,-0.027340000495314598,0 +coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction,0.16013173725389518,0.16011972294122639,0.0084419995546340942,0 +coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction,-0.057675497288593967,-0.057678856669874018,-0.059300001710653305,0 +coef_adult_with_children_in_hh_arrive_19_21,0.26358073098680268,0.26357366595375664,0.335999995470047,0 +coef_arrival_constants_am_peak,-1.618479614096983,-1.6184779227729857,-1.8148225545883179,0 +coef_arrival_constants_early,0.012632463274022693,0.012638163573529756,-0.051990747451782227,0 +coef_arrival_constants_evening,0,0,0,0 +coef_arrival_constants_late,-0.77439458777380288,-0.77440113819912593,-0.86667132377624512,0 +coef_arrival_constants_midday_1,0.16302672327058698,0.16302166341062885,0.0003715009952429682,0 +coef_arrival_constants_midday_2,0.60562412779331609,0.60561823037837537,0.53211605548858643,0 +coef_arrival_constants_pm_peak_1,0.66305388881325122,0.66304628483786687,0.62848156690597534,0 +coef_arrival_constants_pm_peak_2,0.9403736312996136,0.94036844970191236,0.65052139759063721,0 +coef_arrival_constants_pm_peak_3,0.57943549534338168,0.57943058291341509,0.40289440751075745,0 +coef_arrival_constants_pm_peak_4,0.32882206659224378,0.32881862675984186,0.15421329438686371,0 +coef_departure_constants_am_peak_1,-0.8444053940276266,-0.8443867382251623,-0.65416359901428223,0 +coef_departure_constants_am_peak_2,0.61095352829384308,0.6109683536427154,0.554282546043396,0 +coef_departure_constants_am_peak_3,0.89783495233382704,0.89783925656317809,1.0505610704421997,0 +coef_departure_constants_am_peak_4,0.97678705420018241,0.97679068633385335,0.97156822681427002,0 +coef_departure_constants_early,-1.5655173152332842,-1.5655400591434045,-1.740135669708252,0 +coef_departure_constants_evening,-1.6745782734879573,-1.6745908894768251,-1.8564751148223877,0 +coef_departure_constants_late,-5.8677842794743897,-5.867810078393469,-8.2288799285888672,0 +coef_departure_constants_midday_1,0.90219691225188225,0.90220256652108655,0.88199198246002197,0 +coef_departure_constants_midday_2,0.33966490947802791,0.339668134288378,0.41110363602638245,0 +coef_departure_constants_pm_peak,0,0,0,0 +coef_destination_in_cbd_duration_shift_effects,0.12481964214980576,0.12482003975020485,0.10670000314712524,0 +coef_discretionary_tour_duration_lt_2_hours,-0.49111660197637685,-0.49110487979747403,-0.69739997386932373,0 +coef_duration_constants_0_to_1_hours,0,0,0,0 +coef_duration_constants_11_to_13_hours,-0.71826442870005769,-0.71826950153593283,-0.95563554763793945,0 +coef_duration_constants_14_to_18_hours,-1.3448264303153219,-1.3448138847159017,-1.0425808429718018,0 +coef_duration_constants_2_to_3_hours,0.18806168958819869,0.18807127149669869,0.051385566592216492,0 +coef_duration_constants_4_to_5_hours,-0.47110934268158594,-0.4711057056246632,-0.59395134449005127,0 +coef_duration_constants_6_to_7_hours,-0.82518931580282029,-0.82518905004791432,-0.95115530490875244,0 +coef_duration_constants_8_to_10_hours,-0.69268933767290863,-0.6927031726601327,-0.82810837030410767,0 +coef_eat_out_tour_departure_shift_effects,0.051316259249107425,0.051316222550347332,0.075489997863769531,0 +coef_escort_tour_arrival_constants_am_peak,0,0,0,0 +coef_escort_tour_arrival_constants_early,0,0,0,0 +coef_escort_tour_arrival_constants_evening,-0.71223140451440192,-0.71223691887938245,-0.53691869974136353,0 +coef_escort_tour_arrival_constants_late,-0.72737915035423661,-0.72736904512133638,-1.00829017162323,0 +coef_escort_tour_arrival_constants_midday_1,0,0,0,0 +coef_escort_tour_arrival_constants_midday_2,0,0,0,0 +coef_escort_tour_arrival_constants_pm_peak_1,0,0,0,0 +coef_escort_tour_arrival_constants_pm_peak_2,0,0,0,0 +coef_escort_tour_arrival_constants_pm_peak_3,0,0,0,0 +coef_escort_tour_arrival_constants_pm_peak_4,0,0,0,0 +coef_escort_tour_departure_constants_am_peak_1,-1.4235419252088168,-1.4235406297742828,-1.1123577356338501,0 +coef_escort_tour_departure_constants_am_peak_2,0.42531847435099135,0.42534779985548571,0.69878816604614258,0 +coef_escort_tour_departure_constants_am_peak_3,0.83882621454109263,0.83887850091215199,1.1962687969207764,0 +coef_escort_tour_departure_constants_am_peak_4,-0.83712685138635567,-0.83714012331863175,-0.22525821626186371,0 +coef_escort_tour_departure_constants_early,-2.860916885051735,-2.8608848408720089,-1.740135669708252,0 +coef_escort_tour_departure_constants_evening,-3.9409129509835932,-3.9409128427055573,-3.948732852935791,0 +coef_escort_tour_departure_constants_late,-5.7702770461708415,-5.77029206272538,-8.2288799285888672,0 +coef_escort_tour_departure_constants_midday_1,-0.1390533603155775,-0.1390075193706598,0.028662016615271568,0 +coef_escort_tour_departure_constants_midday_2,0,0,0,0 +coef_escort_tour_departure_constants_pm_peak,-1.4131855726269698,-1.4131494988499986,-1.1801401376724243,0 +coef_escort_tour_duration_constants_0_to_1_hours,0,0,0,0 +coef_escort_tour_duration_constants_11_to_13_hours,-3.9202328149945442,-3.9202404500970576,-2.9743649959564209,0 +coef_escort_tour_duration_constants_14_to_18_hours,-3.5604092863860122,-3.5604047727293211,-2.5074472427368164,0 +coef_escort_tour_duration_constants_2_to_3_hours,-2.421823365334085,-2.421833770793457,-2.0420138835906982,0 +coef_escort_tour_duration_constants_4_to_5_hours,-3.0455000043621441,-3.0455133085082999,-2.8802938461303711,0 +coef_escort_tour_duration_constants_6_to_7_hours,-3.1421992928711329,-3.1422099147681193,-2.9735336303710938,0 +coef_escort_tour_duration_constants_8_to_10_hours,-3.7497784769391589,-3.7497803018839528,-3.0202138423919678,0 +coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect,-0.25834434616162955,-0.25834415314457576,-0.23639999330043793,0 +coef_free_flow_round_trip_auto_time_shift_effects_duration,0.0065276813016913781,0.0065276968976601671,0.0047410000115633011,0 +coef_maintenance_tour_depart_before_7,-0.5056248112333217,-0.50561957768539378,-0.88260000944137573,0 +coef_maintenance_tour_departure_shift_effects,-0.14454038609055034,-0.14454021307852283,-0.14890000224113464,0 +coef_maintenance_tour_duration_shift_effects,-0.12686493168577978,-0.12686440360779777,-0.083719998598098755,0 +coef_number_of_escort_tours_departure_shift_effects,0.010507493295063721,0.010508213446682341,0.02012999914586544,0 +coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects,0.044135687848751132,0.044135987290636135,0.03895999863743782,0 +coef_number_of_joint_tours_departure_shift_effects,0.084912280527453296,0.08491252930940224,0.052080001682043076,0 +coef_number_of_mandatory_tours_departure_shift_effects,0.049914049123035174,0.049914648254726204,0.046730000525712967,0 +coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours,-14.166516751822661,-14.166519647615067,-13.630000114440918,0 +coef_school_child_age_16_plus_departure_shift_effects,-0.1010476102967722,-0.10104136957996175,0.072659999132156372,0 +coef_school_child_age_16_plus_duration_shift_effects,0.27141008329162575,0.27140733987575305,0.20949999988079071,0 +coef_school_child_age_under_16_departure_shift_effects,0.040466224371894295,0.040465357220666222,0.046569999307394028,0 +coef_school_child_age_under_16_duration_shift_effects,0.32700056448616932,0.32699981446388821,0.32719999551773071,0 +coef_school_child_under_16_arrive_after_22,-0.2464951245477969,-0.2464607983596627,-1.1799999475479126,0 +coef_shopping_tour_arrive_after_22,-2.0657698295000624,-2.065800932685089,-0.60269999504089355,0 +coef_shopping_tour_depart_before_8,-1.1138212368924993,-1.1138115434095399,-1.0369999408721924,0 +coef_shopping_tour_departure_shift_effects,-0.067931916027145156,-0.067931597698885862,-0.06015000119805336,0 +coef_shopping_tour_duration_lt_2_hours,0.67436877539980855,0.67440552001221821,0.51679998636245728,0 +coef_shopping_tour_duration_shift_effects,-0.10944476789632213,-0.10943885166753625,-0.12080000340938568,0 +coef_some_previously_scheduled_tour_begins_in_this_arrival_hour,-0.30742282105349766,-0.30742665676699332,-0.39919999241828918,0 +coef_some_previously_scheduled_tour_ends_in_this_departure_hour,-0.42079038970222704,-0.42079362641039114,-0.4562000036239624,0 +coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect,-0.15663240624251576,-0.15663237202517855,-0.17309999465942383,0 +coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends,-999,-999,-999,0 +coef_university_student_arrive_after_22,-0.75698586492006881,-0.7570144484766741,0.54659998416900635,0 +coef_visit_tour_departure_shift_effects,0.093345651330126359,0.093345498661509735,0.096879996359348297,0 +coef_visit_tour_duration_shift_effects,0.15548956158347038,0.15549039376025442,0.16380000114440918,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_school_location.csv b/activitysim/estimation/test/test_larch_estimation/test_school_location.csv index 9149b65cb..33b657c2c 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_school_location.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_school_location.csv @@ -1,21 +1,21 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -coef_grade_dist_0_1,-1.8247599716114487,-1.6418999999999999,0,-25,25,-1.8247599716114487 -coef_grade_dist_15_up,-0.045999999999986392,-0.045999999999999999,0,-25,25,-0.045999999999986392 -coef_grade_dist_5_15,-0.14366066473346295,-0.2031,0,-25,25,-0.14366066473346295 -coef_high_dist_0_1,-2.1639631787042557,-0.95230000000000004,0,-25,25,-2.1639631787042557 -coef_high_dist_15_up,-0.18819999999999787,-0.18820000000000001,0,-25,25,-0.18819999999999787 -coef_high_dist_5_15,-0.10033006353999419,-0.193,0,-25,25,-0.10033006353999419 -coef_high_grade_dist_1_2,-0.747678833666925,-0.56999999999999995,0,-25,25,-0.747678833666925 -coef_high_grade_dist_2_5,-0.66638388058588283,-0.56999999999999995,0,-25,25,-0.66638388058588283 -coef_mode_logsum,0.37505355574886973,0.53580000000000005,0,-25,25,0.37505355574886973 -coef_univ_dist_0_1,-3.3133821471324696,-3.2450999999999999,0,-25,25,-3.3133821471324696 -coef_univ_dist_15_up,-0.072999999999999995,-0.072999999999999995,0,-25,25,-0.072999999999999995 -coef_univ_dist_1_2,-2.8750960133089687,-2.7010999999999998,0,-25,25,-2.8750960133089687 -coef_univ_dist_2_5,-0.45559440871309681,-0.57069999999999999,0,-25,25,-0.45559440871309681 -coef_univ_dist_5_15,-0.5718644285076383,-0.50019999999999998,0,-25,25,-0.5718644285076383 -gradeschool_AGE0519,0,0,0,0,0,0 -highschool_HSENROLL,0,0,0,0,0,0 -university_COLLFTE,-0.52424864409813143,-0.52424864409813143,0,-0.52424864409813143,-0.52424864409813143,-0.52424864409813143 -university_COLLPTE,-1.2088722041237281,-0.89648810457797545,0,-6,6,-1.2088722041237281 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_grade_dist_0_1,0.080031235198373782,0.080031235198373782,-1.6418999433517456,0 +coef_grade_dist_15_up,-0.046010368210409304,-0.046010368210409304,-0.046000000089406967,0 +coef_grade_dist_5_15,0.011795679963699891,0.011795679963699891,-0.20309999585151672,0 +coef_high_dist_0_1,-0.48267138976026713,-0.48267138976026713,-0.95230001211166382,0 +coef_high_dist_15_up,-0.18818654818448871,-0.18818654818448871,-0.18819999694824219,0 +coef_high_dist_5_15,-0.12203943917498229,-0.12203943917498229,-0.19300000369548798,0 +coef_high_grade_dist_1_2,-0.2740077638163641,-0.2740077638163641,-0.56999999284744263,0 +coef_high_grade_dist_2_5,-0.12717991662132286,-0.12717991662132286,-0.56999999284744263,0 +coef_mode_logsum,0.28675535602711366,0.28675535602711366,0.53579998016357422,0 +coef_univ_dist_0_1,-0.20246864835878667,-0.20246864835878667,-3.2451000213623047,0 +coef_univ_dist_15_up,-0.072999830047635036,-0.072999830047635036,-0.072999998927116394,0 +coef_univ_dist_1_2,-0.50654663083945994,-0.50654663083945994,-2.7011001110076904,0 +coef_univ_dist_2_5,0.095856729554638809,0.095856729554638809,-0.57069998979568481,0 +coef_univ_dist_5_15,-0.1412133832985831,-0.1412133832985831,-0.50019997358322144,0 +gradeschool_AGE0519,0,0,0,0 +highschool_HSENROLL,0,0,0,0 +university_COLLFTE,-0.52424865961074829,-0.52424865961074829,-0.52424865961074829,0 +university_COLLPTE,-1275009.279056468,-1275009.279056468,-0.89648813009262085,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_school_location_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_school_location_loglike.csv index cf413cb0a..61faa0892 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_school_location_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_school_location_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-4070.349038545839,-4058.2217953154559 +0,-3150.9027927232128,-2472.1256126886806 diff --git a/activitysim/estimation/test/test_larch_estimation/test_school_location_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_school_location_size_spec.csv index 44852f23f..b5a470032 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_school_location_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_school_location_size_spec.csv @@ -1,9 +1,9 @@ ,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE -0,work_low,workplace,0,0.12912912912912916,0.19319319319319325,0.38338338338338335,0.12012012012012015,0.010010010010010012,0.1641641641641641,0,0,0,0 -1,work_med,workplace,0,0.12012012012012013,0.19719719719719711,0.32532532532532538,0.13913913913913917,0.0080080080080080097,0.21021021021021022,0,0,0,0 +0,work_low,workplace,0,0.12912912912912911,0.19319319319319317,0.38338338338338335,0.12012012012012011,0.01001001001001001,0.16416416416416416,0,0,0,0 +1,work_med,workplace,0,0.12012012012012012,0.19719719719719719,0.32532532532532532,0.13913913913913914,0.0080080080080080079,0.21021021021021019,0,0,0,0 2,work_high,workplace,0,0.11,0.20699999999999999,0.28399999999999997,0.154,0.0060000000000000001,0.23899999999999999,0,0,0,0 3,work_veryhigh,workplace,0,0.092999999999999999,0.27000000000000002,0.24099999999999999,0.14599999999999999,0.0040000000000000001,0.246,0,0,0,0 -4,university,school,0,0,0,0,0,0,0,0,0,0.66475996651277125,0.33524003348722875 +4,university,school,0,0,0,0,0,0,0,0,0,1,0 5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 7,escort,non_mandatory,0,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46500000000000002,0.16600000000000001,0,0 @@ -14,10 +14,10 @@ 12,othdiscr,non_mandatory,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 13,atwork,atwork,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 14,work,trip,0,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0.16666666666666666,0,0,0,0 -15,escort,trip,0.0010000000000000002,0.22500000000000003,0,0.14400000000000002,0,0,0,0.46399999999999997,0.16600000000000004,0,0 +15,escort,trip,0.001,0.22500000000000001,0,0.14399999999999999,0,0,0,0.46400000000000002,0.16600000000000001,0,0 16,shopping,trip,0.001,0.999,0,0,0,0,0,0,0,0,0 17,eatout,trip,0,0.74199999999999999,0,0.25800000000000001,0,0,0,0,0,0,0 18,othmaint,trip,0.001,0.48099999999999998,0,0.51800000000000002,0,0,0,0,0,0,0 19,social,trip,0.001,0.52100000000000002,0,0.47799999999999998,0,0,0,0,0,0,0 20,othdiscr,trip,0.25225225225225223,0.2122122122122122,0,0.2722722722722723,0.16516516516516516,0,0,0,0.098098098098098108,0,0 -21,univ,trip,0.000999000999000999,0,0,0,0,0,0,0,0,0.59140859140859148,0.4075924075924075 +21,univ,trip,0.00099900099900099922,0,0,0,0,0,0,0,0,0.59140859140859148,0.40759240759240761 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_.csv index b05f6c928..a34334c19 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_.csv @@ -1,111 +1,111 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coefficient_at_work_sub_tour_asc_business1,1.4214079856419304,-0.53720000000000001,0,,,1.4214079856419304 -coefficient_at_work_sub_tour_asc_business2,-0.13077793218906725,-2.1337000000000002,0,,,-0.13077793218906725 -coefficient_at_work_sub_tour_asc_eat,5.8090564007216319,0.85760000000000003,0,,,5.8090564007216319 -coefficient_at_work_sub_tour_asc_eat_business,-23.415365723862234,-0.97209999999999996,0,,,-23.415365723862234 -coefficient_at_work_sub_tour_asc_maint,12.910479269683176,-0.61980000000000002,0,,,12.910479269683176 -coefficient_auto_accessibility_to_retail_for_work_taz_business1,-0.23508337555533637,0.053400000000000003,0,,,-0.23508337555533637 -coefficient_auto_accessibility_to_retail_for_work_taz_business2,2.9511349220652563,0.1067,0,,,2.9511349220652563 -coefficient_auto_accessibility_to_retail_for_work_taz_eat,-0.7610481619548336,0.014999999999999999,0,,,-0.7610481619548336 -coefficient_auto_accessibility_to_retail_for_work_taz_eat_business,1.5155478484531482,0.0683,0,,,1.5155478484531482 -coefficient_auto_accessibility_to_retail_for_work_taz_maint,-3.2006512330401198,0.026499999999999999,0,,,-3.2006512330401198 -coefficient_dummy_for_drive_alone_mode_for_work_tour_business1,3.9438022928732326,0.99009999999999998,0,,,3.9438022928732326 -coefficient_dummy_for_drive_alone_mode_for_work_tour_business2,-7.2851228526180369,1.9802,0,,,-7.2851228526180369 -coefficient_dummy_for_drive_alone_mode_for_work_tour_eat,3.2162405355786916,0.48039999999999999,0,,,3.2162405355786916 -coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business,2.3334830273468778,1.4704999999999999,0,,,2.3334830273468778 -coefficient_dummy_for_drive_alone_mode_for_work_tour_maint,3.8657969968183186,1.153,0,,,3.8657969968183186 -coefficient_dummy_for_full_time_worker_business1,-11.365293683630657,-7.375,0,,,-11.365293683630657 -coefficient_dummy_for_full_time_worker_business2,-13.833915024299738,-14.279999999999999,0,,,-13.833915024299738 -coefficient_dummy_for_full_time_worker_eat,-9.545917028191262,-7.2800000000000002,0,,,-9.545917028191262 -coefficient_dummy_for_full_time_worker_eat_business,-11.192168369499433,-14.789999999999999,0,,,-11.192168369499433 -coefficient_dummy_for_full_time_worker_maint,-5.8807058943821362,-8.093,0,,,-5.8807058943821362 -coefficient_dummy_for_non_full_time_worker_business1,-2.3700983307274996,-8.3190000000000008,0,,,-2.3700983307274996 -coefficient_dummy_for_non_full_time_worker_business2,-12.723162907889261,-14.279999999999999,0,,,-12.723162907889261 -coefficient_dummy_for_non_full_time_worker_eat,-1.3866265710866461,-8.6039999999999992,0,,,-1.3866265710866461 -coefficient_dummy_for_non_full_time_worker_eat_business,-40.831097354363017,-14.789999999999999,0,,,-40.831097354363017 -coefficient_dummy_for_non_full_time_worker_maint,3.1039851640661054,-8.2140000000000004,0,,,3.1039851640661054 -coefficient_dummy_for_non_workers_business1,-5,-5,0,-5,-5,-5 -coefficient_dummy_for_non_workers_business2,-5,-5,0,-5,-5,-5 -coefficient_dummy_for_non_workers_eat,0,0,0,0,0,0 -coefficient_dummy_for_non_workers_eat_business,-5,-5,0,-5,-5,-5 -coefficient_dummy_for_non_workers_maint,-5,-5,0,-5,-5,-5 -coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business1,0,0,0,0,0,0 -coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business2,0,0,0,0,0,0 -coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat,0,0,0,0,0,0 -coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat_business,0,0,0,0,0,0 -coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint,-0.44654348916818676,-0.35730000000000001,0,,,-0.44654348916818676 -coefficient_high_hh_income_dummy_business1,-5.6994858911518085,1.0660000000000001,0,,,-5.6994858911518085 -coefficient_high_hh_income_dummy_business2,18.177579828448355,2.1320000000000001,0,,,18.177579828448355 -coefficient_high_hh_income_dummy_eat,-5.3601399728515835,0.86929999999999996,0,,,-5.3601399728515835 -coefficient_high_hh_income_dummy_eat_business,5.9493499938492986,1.9353,0,,,5.9493499938492986 -coefficient_high_hh_income_dummy_maint,-6.8996039582959119,0.1651,0,,,-6.8996039582959119 -coefficient_individual_discretionary_tours_made_by_full_time_worker_business1,-1.4238674423340238,0.70450000000000002,0,,,-1.4238674423340238 -coefficient_individual_discretionary_tours_made_by_full_time_worker_business2,19.497249614698436,1.409,0,,,19.497249614698436 -coefficient_individual_discretionary_tours_made_by_full_time_worker_eat,-1.4579805637692655,0.2334,0,,,-1.4579805637692655 -coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business,-11.112941997302819,0.93789999999999996,0,,,-11.112941997302819 -coefficient_individual_discretionary_tours_made_by_full_time_worker_maint,-1.7115596112922862,0.50609999999999999,0,,,-1.7115596112922862 -coefficient_individual_discretionary_tours_made_by_part_time_worker_business1,1.7016751707114186,0.70450000000000002,0,,,1.7016751707114186 -coefficient_individual_discretionary_tours_made_by_part_time_worker_business2,1.5313378193861862,1.409,0,,,1.5313378193861862 -coefficient_individual_discretionary_tours_made_by_part_time_worker_eat,0.98156496358878631,0.67759999999999998,0,,,0.98156496358878631 -coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business,0.21527427337992269,1.3821000000000001,0,,,0.21527427337992269 -coefficient_individual_discretionary_tours_made_by_part_time_worker_maint,0.24944777293344775,0.50609999999999999,0,,,0.24944777293344775 -coefficient_individual_eating_out_tours_made_by_person_business1,0.42490805390828246,0.54339999999999999,0,,,0.42490805390828246 -coefficient_individual_eating_out_tours_made_by_person_business2,16.88422034232115,1.0868,0,,,16.88422034232115 -coefficient_individual_eating_out_tours_made_by_person_eat,-0.21103858651833801,0.54910000000000003,0,,,-0.21103858651833801 -coefficient_individual_eating_out_tours_made_by_person_eat_business,-13.757488989198457,1.0925,0,,,-13.757488989198457 -coefficient_individual_eating_out_tours_made_by_person_maint,0.84779917948707073,0.91659999999999997,0,,,0.84779917948707073 -coefficient_log_of_the_work_tour_duration_business1,10.797431417603184,1.1419999999999999,0,,,10.797431417603184 -coefficient_log_of_the_work_tour_duration_business2,-41.041133510722389,2.2839999999999998,0,,,-41.041133510722389 -coefficient_log_of_the_work_tour_duration_eat,9.912073454627409,1.55,0,,,9.912073454627409 -coefficient_log_of_the_work_tour_duration_eat_business,19.216017820975473,2.6920000000000002,0,,,19.216017820975473 -coefficient_log_of_the_work_tour_duration_maint,10.442610817511719,1.659,0,,,10.442610817511719 -coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business1,5.2452009890599847,-0.1903,0,,,5.2452009890599847 -coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2,-5.9574096875877984,-0.38059999999999999,0,,,-5.9574096875877984 -coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat,5.7343399360868084,0.051999999999999998,0,,,5.7343399360868084 -coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business,-11.365551805409792,-0.24229999999999999,0,,,-11.365551805409792 -coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint,5.726820567850968,0.14460000000000001,0,,,5.726820567850968 -coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1,-14.379203352289357,-0.1903,0,,,-14.379203352289357 -coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2,0.18243743982694705,-0.38059999999999999,0,,,0.18243743982694705 -coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat,6.6450879837969055,-0.30990000000000001,0,,,6.6450879837969055 -coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business,-0.49226068812509693,-0.50019999999999998,0,,,-0.49226068812509693 -coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint,6.3906386167906994,-0.27229999999999999,0,,,6.3906386167906994 -coefficient_medium_hh_income_dummy_business1,-3.2862939594211058,0.55549999999999999,0,,,-3.2862939594211058 -coefficient_medium_hh_income_dummy_business2,2.0060702575802463,1.111,0,,,2.0060702575802463 -coefficient_medium_hh_income_dummy_eat,-2.5300981505732136,0.60999999999999999,0,,,-2.5300981505732136 -coefficient_medium_hh_income_dummy_eat_business,10.500987924287303,1.1655,0,,,10.500987924287303 -coefficient_medium_hh_income_dummy_maint,-3.0959660718740842,0.1527,0,,,-3.0959660718740842 -coefficient_participation_in_joint_discretionary_tours_business1,0.88783303805250202,-0.26369999999999999,0,,,0.88783303805250202 -coefficient_participation_in_joint_discretionary_tours_business2,-0.41998352565813962,-0.52739999999999998,0,,,-0.41998352565813962 -coefficient_participation_in_joint_discretionary_tours_eat,-0.24481723660555421,0.35880000000000001,0,,,-0.24481723660555421 -coefficient_participation_in_joint_discretionary_tours_eat_business,-2.7238766448704519,0.095100000000000004,0,,,-2.7238766448704519 -coefficient_participation_in_joint_discretionary_tours_maint,2.7458443690817487,0.58220000000000005,0,,,2.7458443690817487 -coefficient_participation_in_joint_shop_main_eat_tours_business1,3.5611554115337705,0.083000000000000004,0,,,3.5611554115337705 -coefficient_participation_in_joint_shop_main_eat_tours_business2,-0.28005028801856696,0.16600000000000001,0,,,-0.28005028801856696 -coefficient_participation_in_joint_shop_main_eat_tours_eat,1.988636928413654,0.24579999999999999,0,,,1.988636928413654 -coefficient_participation_in_joint_shop_main_eat_tours_eat_business,-6.5451744879809857,0.32879999999999998,0,,,-6.5451744879809857 -coefficient_participation_in_joint_shop_main_eat_tours_maint,2.1793324360516571,0.080299999999999996,0,,,2.1793324360516571 -coefficient_two_work_tours_by_person_business1,3.6940239753295181,0.37530000000000002,0,,,3.6940239753295181 -coefficient_two_work_tours_by_person_business2,-4.1046837844384205,0.75060000000000004,0,,,-4.1046837844384205 -coefficient_two_work_tours_by_person_eat,1.927236938048462,-0.98619999999999997,0,,,1.927236938048462 -coefficient_two_work_tours_by_person_eat_business,-5.4249750305237576,-0.6109,0,,,-5.4249750305237576 -coefficient_two_work_tours_by_person_maint,3.2059979015841251,-0.23119999999999999,0,,,3.2059979015841251 -coefficient_walk_accessibility_to_retail_for_work_taz_business1,0,0,0,0,0,0 -coefficient_walk_accessibility_to_retail_for_work_taz_business2,0,0,0,0,0,0 -coefficient_walk_accessibility_to_retail_for_work_taz_eat,0.053293769108333916,0.059999999999999998,0,,,0.053293769108333916 -coefficient_walk_accessibility_to_retail_for_work_taz_eat_business,-0.46901654329224335,0.059999999999999998,0,,,-0.46901654329224335 -coefficient_walk_accessibility_to_retail_for_work_taz_maint,0.39304906249970034,0.040000000000000001,0,,,0.39304906249970034 -coefficient_workplace_suburban_area_dummy_business1,-0.11020000000000001,-0.11020000000000001,0,,,-0.11020000000000001 -coefficient_workplace_suburban_area_dummy_business2,-0.22040000000000001,-0.22040000000000001,0,,,-0.22040000000000001 -coefficient_workplace_suburban_area_dummy_eat,-0.29160000000000003,-0.29160000000000003,0,,,-0.29160000000000003 -coefficient_workplace_suburban_area_dummy_eat_business,-0.40179999999999999,-0.40179999999999999,0,,,-0.40179999999999999 -coefficient_workplace_suburban_area_dummy_maint,0,0,0,0,0,0 -coefficient_workplace_urban_area_dummy_business1,1.7351079856418732,-0.2235,0,,,1.7351079856418732 -coefficient_workplace_urban_area_dummy_business2,1.5559220678109973,-0.44700000000000001,0,,,1.5559220678109973 -coefficient_workplace_urban_area_dummy_eat,4.5332564007214371,-0.41820000000000002,0,,,4.5332564007214371 -coefficient_workplace_urban_area_dummy_eat_business,-23.084965723862449,-0.64170000000000005,0,,,-23.084965723862449 -coefficient_workplace_urban_area_dummy_maint,13.382379269683053,-0.1479,0,,,13.382379269683053 -coefficient_zero_cars_owned_by_hh_dummy_business1,-0.5268759138584419,-0.33910000000000001,0,,,-0.5268759138584419 -coefficient_zero_cars_owned_by_hh_dummy_business2,0,0,0,0,0,0 -coefficient_zero_cars_owned_by_hh_dummy_eat,0,0,0,0,0,0 -coefficient_zero_cars_owned_by_hh_dummy_eat_business,-19.11629098153702,-0.33910000000000001,0,,,-19.11629098153702 -coefficient_zero_cars_owned_by_hh_dummy_maint,0.55934969853310723,0.1762,0,,,0.55934969853310723 +param_name,value,best,initvalue,nullvalue +coefficient_at_work_sub_tour_asc_business1,-4.6364509649106624,-4.636450908579854,-0.53719997406005859,0 +coefficient_at_work_sub_tour_asc_business2,-1.8249400470488537,-1.8249400513348371,-2.133699893951416,0 +coefficient_at_work_sub_tour_asc_eat,-1.2025517519916142,-1.2025517383789965,0.85759997367858887,0 +coefficient_at_work_sub_tour_asc_eat_business,-2.4601386278749016,-2.460138609917645,-0.97210001945495605,0 +coefficient_at_work_sub_tour_asc_maint,6.7188815064577412,6.718881422843042,-0.61979997158050537,0 +coefficient_auto_accessibility_to_retail_for_work_taz_business1,1.5195960607537637,1.5195960534758026,0.053399998694658279,0 +coefficient_auto_accessibility_to_retail_for_work_taz_business2,0.39623374265129618,0.3962337362698467,0.10670000314712524,0 +coefficient_auto_accessibility_to_retail_for_work_taz_eat,1.244843971401054,1.2448439700604323,0.014999999664723873,0 +coefficient_auto_accessibility_to_retail_for_work_taz_eat_business,-1.4936433037222552,-1.4936433133522584,0.068300001323223114,0 +coefficient_auto_accessibility_to_retail_for_work_taz_maint,-1.3971304685665173,-1.397130443936482,0.026499999687075615,0 +coefficient_dummy_for_drive_alone_mode_for_work_tour_business1,2.5403075484019295,2.5403075438954636,0.99010002613067627,0 +coefficient_dummy_for_drive_alone_mode_for_work_tour_business2,-1.5471111587719255,-1.5471111364437549,1.9802000522613525,0 +coefficient_dummy_for_drive_alone_mode_for_work_tour_eat,1.8134290820782721,1.8134290762249321,0.48039999604225159,0 +coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business,0.81302147728988705,0.81302147967997473,1.4704999923706055,0 +coefficient_dummy_for_drive_alone_mode_for_work_tour_maint,2.4545531149456474,2.4545531005871952,1.1529999971389771,0 +coefficient_dummy_for_full_time_worker_business1,-10.835277488785893,-10.83527745465712,-7.375,0 +coefficient_dummy_for_full_time_worker_business2,-13.651388366502351,-13.651388372174022,-14.279999732971191,0 +coefficient_dummy_for_full_time_worker_eat,-9.4982645189968196,-9.4982645055658654,-7.2800002098083496,0 +coefficient_dummy_for_full_time_worker_eat_business,-12.473124948668486,-12.473124950259384,-14.789999961853027,0 +coefficient_dummy_for_full_time_worker_maint,-5.3599449936662609,-5.3599450339634185,-8.0930004119873047,0 +coefficient_dummy_for_non_full_time_worker_business1,-8.9579737462053064,-8.9579737240032706,-8.319000244140625,0 +coefficient_dummy_for_non_full_time_worker_business2,-14.599851252537475,-14.599851251151787,-14.279999732971191,0 +coefficient_dummy_for_non_full_time_worker_eat,-8.4458875080344917,-8.445887507852829,-8.6040000915527344,0 +coefficient_dummy_for_non_full_time_worker_eat_business,-18.594913583457473,-18.594913563909319,-14.789999961853027,0 +coefficient_dummy_for_non_full_time_worker_maint,-3.6083736885127893,-3.6083737318303313,-8.2139997482299805,0 +coefficient_dummy_for_non_workers_business1,-5,-5,-5,0 +coefficient_dummy_for_non_workers_business2,-5,-5,-5,0 +coefficient_dummy_for_non_workers_eat,0,0,0,0 +coefficient_dummy_for_non_workers_eat_business,-5,-5,-5,0 +coefficient_dummy_for_non_workers_maint,-5,-5,-5,0 +coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business1,0,0,0,0 +coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business2,0,0,0,0 +coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat,0,0,0,0 +coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat_business,0,0,0,0 +coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint,-0.41501623497381018,-0.4150162451792187,-0.35730001330375671,0 +coefficient_high_hh_income_dummy_business1,-0.33979337120056141,-0.33979335118765108,1.0659999847412109,0 +coefficient_high_hh_income_dummy_business2,4.2112639057799823,4.2112638870883581,2.1319999694824219,0 +coefficient_high_hh_income_dummy_eat,0.023039749877190804,0.023039775965731642,0.86930000782012939,0 +coefficient_high_hh_income_dummy_eat_business,3.7450872508803248,3.745087211197407,1.9352999925613403,0 +coefficient_high_hh_income_dummy_maint,-1.471897587383632,-1.471897575110541,0.16509999334812164,0 +coefficient_individual_discretionary_tours_made_by_full_time_worker_business1,-0.258886010731674,-0.25888602469708244,0.70450001955032349,0 +coefficient_individual_discretionary_tours_made_by_full_time_worker_business2,10.013216960858641,10.013216913800566,1.409000039100647,0 +coefficient_individual_discretionary_tours_made_by_full_time_worker_eat,-0.27143991243306015,-0.27143990533123996,0.23340000212192535,0 +coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business,-5.1450511716765561,-5.1450511394525638,0.93790000677108765,0 +coefficient_individual_discretionary_tours_made_by_full_time_worker_maint,-0.54693979952226501,-0.54693977782459402,0.50609999895095825,0 +coefficient_individual_discretionary_tours_made_by_part_time_worker_business1,1.5008073499859345,1.5008073606710928,0.70450001955032349,0 +coefficient_individual_discretionary_tours_made_by_part_time_worker_business2,1.3725147779808102,1.3725147781405138,1.409000039100647,0 +coefficient_individual_discretionary_tours_made_by_part_time_worker_eat,0.8707190441243009,0.8707190632298788,0.67760002613067627,0 +coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business,0.75707630852833474,0.75707631165373623,1.382099986076355,0 +coefficient_individual_discretionary_tours_made_by_part_time_worker_maint,0.17818258918958901,0.17818255611374761,0.50609999895095825,0 +coefficient_individual_eating_out_tours_made_by_person_business1,1.2291884533614996,1.2291884357040239,0.54339998960494995,0 +coefficient_individual_eating_out_tours_made_by_person_business2,5.3890915350859343,5.3890915063685627,1.0867999792098999,0 +coefficient_individual_eating_out_tours_made_by_person_eat,0.59241286979897301,0.59241286727354991,0.54909998178482056,0 +coefficient_individual_eating_out_tours_made_by_person_eat_business,-4.6396338093217437,-4.6396337749049197,1.0924999713897705,0 +coefficient_individual_eating_out_tours_made_by_person_maint,1.6173408620021299,1.6173408764855761,0.91659998893737793,0 +coefficient_log_of_the_work_tour_duration_business1,2.8745950964750677,2.8745950289586566,1.1419999599456787,0 +coefficient_log_of_the_work_tour_duration_business2,-9.4213725166497184,-9.4213723813479699,2.2839999198913574,0 +coefficient_log_of_the_work_tour_duration_eat,2.0174558496514647,2.0174558005400733,1.5499999523162842,0 +coefficient_log_of_the_work_tour_duration_eat_business,11.401343306668366,11.401343332337083,2.6919999122619629,0 +coefficient_log_of_the_work_tour_duration_maint,2.4549780473709193,2.4549780030282569,1.659000039100647,0 +coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business1,1.1088398218159976,1.1088398127197108,-0.19030000269412994,0 +coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2,-0.57516973946012429,-0.575169738593175,-0.38060000538825989,0 +coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat,1.5872866399810972,1.5872866248218596,0.052000001072883606,0 +coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business,-4.2886646505292108,-4.2886646240189545,-0.24230000376701355,0 +coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint,1.5511079213734775,1.5511079182517966,0.14460000395774841,0 +coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1,-6.3194536970520918,-6.3194536671381956,-0.19030000269412994,0 +coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2,-0.45741583885508108,-0.45741583852963658,-0.38060000538825989,0 +coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat,3.0910693656661703,3.0910693473970023,-0.30989998579025269,0 +coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business,-0.85983485391771264,-0.85983485226518608,-0.50019997358322144,0 +coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint,2.8923350517436197,2.8923350381209207,-0.27230000495910645,0 +coefficient_medium_hh_income_dummy_business1,-1.1331895926048559,-1.1331895937415595,0.55549997091293335,0 +coefficient_medium_hh_income_dummy_business2,0.81318352183524256,0.81318352315710596,1.1109999418258667,0 +coefficient_medium_hh_income_dummy_eat,-0.34741746210681906,-0.3474174464669022,0.61000001430511475,0 +coefficient_medium_hh_income_dummy_eat_business,5.121964519155811,5.1219645052482301,1.1655000448226929,0 +coefficient_medium_hh_income_dummy_maint,-0.85984100745095871,-0.8598410093684542,0.15270000696182251,0 +coefficient_participation_in_joint_discretionary_tours_business1,0.30193135342719479,0.30193135643871699,-0.26370000839233398,0 +coefficient_participation_in_joint_discretionary_tours_business2,-0.59379173063206181,-0.59379173033201538,-0.52740001678466797,0 +coefficient_participation_in_joint_discretionary_tours_eat,-0.97053293091235093,-0.9705329212314463,0.35879999399185181,0 +coefficient_participation_in_joint_discretionary_tours_eat_business,-0.5490816124017508,-0.54908160890359503,0.095100000500679016,0 +coefficient_participation_in_joint_discretionary_tours_maint,2.0564748805838153,2.056474864093186,0.58219999074935913,0 +coefficient_participation_in_joint_shop_main_eat_tours_business1,1.8768257580478833,1.8768257619258122,0.082999996840953827,0 +coefficient_participation_in_joint_shop_main_eat_tours_business2,0.055786350132296811,0.055786350662721744,0.16599999368190765,0 +coefficient_participation_in_joint_shop_main_eat_tours_eat,0.31370718460939551,0.31370718509133344,0.24580000340938568,0 +coefficient_participation_in_joint_shop_main_eat_tours_eat_business,-1.8724721811608103,-1.8724721667874074,0.32879999279975891,0 +coefficient_participation_in_joint_shop_main_eat_tours_maint,0.53005287839341431,0.53005285912971956,0.080300003290176392,0 +coefficient_two_work_tours_by_person_business1,0.78174817096251792,0.78174816097861666,0.37529999017715454,0 +coefficient_two_work_tours_by_person_business2,0.67460859753132585,0.67460859786572203,0.75059998035430908,0 +coefficient_two_work_tours_by_person_eat,-0.96831618429168598,-0.96831618402710151,-0.98619997501373291,0 +coefficient_two_work_tours_by_person_eat_business,-1.4448302925402916,-1.4448302854771486,-0.61089998483657837,0 +coefficient_two_work_tours_by_person_maint,0.25438972433601764,0.2543897266577953,-0.23119999468326569,0 +coefficient_walk_accessibility_to_retail_for_work_taz_business1,0,0,0,0 +coefficient_walk_accessibility_to_retail_for_work_taz_business2,0,0,0,0 +coefficient_walk_accessibility_to_retail_for_work_taz_eat,0.024318701408312954,0.024318700872964293,0.059999998658895493,0 +coefficient_walk_accessibility_to_retail_for_work_taz_eat_business,-0.098985033594679236,-0.098985043830151581,0.059999998658895493,0 +coefficient_walk_accessibility_to_retail_for_work_taz_maint,0.37714309948187719,0.37714309907729421,0.039999999105930328,0 +coefficient_workplace_suburban_area_dummy_business1,-0.11020000278949738,-0.11020000278949738,-0.11020000278949738,0 +coefficient_workplace_suburban_area_dummy_business2,-0.22040000557899475,-0.22040000557899475,-0.22040000557899475,0 +coefficient_workplace_suburban_area_dummy_eat,-0.29159998893737793,-0.29159998893737793,-0.29159998893737793,0 +coefficient_workplace_suburban_area_dummy_eat_business,-0.4018000066280365,-0.4018000066280365,-0.4018000066280365,0 +coefficient_workplace_suburban_area_dummy_maint,0,0,0,0 +coefficient_workplace_urban_area_dummy_business1,-4.3227509893008715,-4.3227509329700631,-0.22349999845027924,0 +coefficient_workplace_urban_area_dummy_business2,-0.13824014999799764,-0.13824015428398095,-0.44699999690055847,0 +coefficient_workplace_urban_area_dummy_eat,-2.4783517118896161,-2.4783516982769984,-0.41819998621940613,0 +coefficient_workplace_urban_area_dummy_eat_business,-2.1297386377930989,-2.1297386198358423,-0.64170002937316895,0 +coefficient_workplace_urban_area_dummy_maint,7.1907814778236281,7.1907813942089289,-0.14790000021457672,0 +coefficient_zero_cars_owned_by_hh_dummy_business1,-0.48372662658348159,-0.48372661407098899,-0.33910000324249268,0 +coefficient_zero_cars_owned_by_hh_dummy_business2,0,0,0,0 +coefficient_zero_cars_owned_by_hh_dummy_eat,0,0,0,0 +coefficient_zero_cars_owned_by_hh_dummy_eat_business,-7.372632298534227,-7.3726322561599522,-0.33910000324249268,0 +coefficient_zero_cars_owned_by_hh_dummy_maint,0.53982915542758059,0.53982913595117754,0.17620000243186951,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_loglike.csv index 2f32cb32a..b0b7c8331 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_atwork_subtour_frequency_SLSQP_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-339.26475293528824,-311.08163243830268 +0,-339.26475419242206,-311.72832904369682 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_auto_ownership_BHHH_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_auto_ownership_BHHH_.csv index 36f7acad3..a45f94482 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_auto_ownership_BHHH_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_auto_ownership_BHHH_.csv @@ -1,4 +1,4 @@ -,value,initvalue,nullvalue,minimum,maximum,best +param_name,value,initvalue,nullvalue,minimum,maximum,best coef_cars1_asc,4.7447107380921025,1.1865000000000001,0,,,4.7447107380921025 coef_cars1_asc_county,-0.56599882256075029,-0.56599999999999995,0,,,-0.56599882256075029 coef_cars1_asc_marin,-0.24339921273778259,-0.24340000000000001,0,,,-0.24339921273778259 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_free_parking_BHHH_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_free_parking_BHHH_.csv index d721934bd..ab1d9efd3 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_free_parking_BHHH_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_free_parking_BHHH_.csv @@ -1,4 +1,4 @@ -,value,initvalue,nullvalue,minimum,maximum,holdfast,best +param_name,value,initvalue,nullvalue,minimum,maximum,holdfast,best 0.0,0,0,0,0,0,1,0 coef_asc_alameda,-0.10920000000000001,-0.10920000000000001,0,,,0,-0.10920000000000001 coef_asc_san_francisco,-2.4563318326358723,-2.6402999999999999,0,,,0,-2.4563318326358723 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_.csv index 40c2da343..f6db0bb7d 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_.csv @@ -1,32 +1,32 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_asc_children,121.62774629212394,5.3517000000000001,0,,,121.62774629212394 -coef_asc_mixed,-88.249612624384525,5.6289999999999996,0,,,-88.249612624384525 -coef_household_has_more_cars_than_workers_adults,-40.894264494991035,1.3859999999999999,0,,,-40.894264494991035 -coef_household_has_more_cars_than_workers_mixed,153.8152034125998,0.751,0,,,153.8152034125998 -coef_household_in_suburban_area_adults,0.51049999999999995,0.51049999999999995,0,,,0.51049999999999995 -coef_household_in_suburban_area_mixed,0.1283,0.1283,0,,,0.1283 -coef_household_in_urban_area,-21.823333667739977,0.57410000000000005,0,,,-21.823333667739977 -coef_log_max_overlap_of_adults_time_windows,-36.285976396423372,1.1919999999999999,0,,,-36.285976396423372 -coef_log_max_overlap_of_childrens_time_windows,283.69666707732551,1.841,0,,,283.69666707732551 -coef_log_max_overlap_of_time_windows,196.72857307970887,1.958,0,,,196.72857307970887 -coef_low_income_households_adults,-16.894953557817836,1.248,0,,,-16.894953557817836 -coef_low_income_households_mixed,-3.1435928555076917,0.57550000000000001,0,,,-3.1435928555076917 -coef_medium_income_households,-161.72738528562726,0.83689999999999998,0,,,-161.72738528562726 -coef_number_of_children_too_young_for_school_children,-110.04828004959086,0.73060000000000003,0,,,-110.04828004959086 -coef_number_of_children_too_young_for_school_mixed,9.5393263775476171,0.79059999999999997,0,,,9.5393263775476171 -coef_number_of_driving_age_children_children,-172.31193722793208,-0.26669999999999999,0,,,-172.31193722793208 -coef_number_of_driving_age_children_mixed,184.76140753321386,-0.93989999999999996,0,,,184.76140753321386 -coef_number_of_full_time_workers_adults,185.49031080785167,1.024,0,,,185.49031080785167 -coef_number_of_full_time_workers_mixed,50.943192997924122,0.3624,0,,,50.943192997924122 -coef_number_of_non_workers_adults,40.041010494333662,0.62629999999999997,0,,,40.041010494333662 -coef_number_of_non_workers_mixed,-96.438665924994751,-0.37240000000000001,0,,,-96.438665924994751 -coef_number_of_part_time_workers_adults,47.088158071231007,0.54120000000000001,0,,,47.088158071231007 -coef_number_of_part_time_workers_mixed,58.958712458292865,0.31640000000000001,0,,,58.958712458292865 -coef_number_of_pre_driving_age_children_children,12.678858152945852,0.73060000000000003,0,,,12.678858152945852 -coef_number_of_pre_driving_age_children_mixed,158.96026734481441,0.35320000000000001,0,,,158.96026734481441 -coef_number_of_university_students,-5.007830161412854,0.82450000000000001,0,,,-5.007830161412854 -coef_tour_purpose_is_discretionary_adults,0.76480000000000004,0.76480000000000004,0,,,0.76480000000000004 -coef_tour_purpose_is_discretionary_children,0.5101,0.5101,0,,,0.5101 -coef_tour_purpose_is_eating_out_children,-0.96779999999999999,-0.96779999999999999,0,,,-0.96779999999999999 -coef_tour_purpose_is_eating_out_mixed,-0.80269999999999997,-0.80269999999999997,0,,,-0.80269999999999997 -coef_unavailable,-999,-999,0,-999,-999,-999 +param_name,value,best,initvalue,nullvalue +coef_asc_children,31.580459657771478,31.580459657771478,5.3516998291015625,0 +coef_asc_mixed,-8.4815755302186577,-8.4815755302186577,5.629000186920166,0 +coef_household_has_more_cars_than_workers_adults,-14.008943838901908,-14.008943838901908,1.3860000371932983,0 +coef_household_has_more_cars_than_workers_mixed,25.695328937041246,25.695328937041246,0.75099998712539673,0 +coef_household_in_suburban_area_adults,0.51050001382827759,0.51050001382827759,0.51050001382827759,0 +coef_household_in_suburban_area_mixed,0.12829999625682831,0.12829999625682831,0.12829999625682831,0 +coef_household_in_urban_area,-11.544084093965571,-11.544084093965571,0.57410001754760742,0 +coef_log_max_overlap_of_adults_time_windows,-25.921679816393258,-25.921679816393258,1.1920000314712524,0 +coef_log_max_overlap_of_childrens_time_windows,50,50,1.840999960899353,0 +coef_log_max_overlap_of_time_windows,43.185336045455792,43.185336045455792,1.9579999446868896,0 +coef_low_income_households_adults,-4.7176489111037725,-4.7176489111037725,1.2480000257492065,0 +coef_low_income_households_mixed,-9.0408081421508903,-9.0408081421508903,0.5755000114440918,0 +coef_medium_income_households,-34.499486089811263,-34.499486089811263,0.83689999580383301,0 +coef_number_of_children_too_young_for_school_children,-13.855996312009184,-13.855996312009184,0.73059999942779541,0 +coef_number_of_children_too_young_for_school_mixed,4.4802268807421637,4.4802268807421637,0.7906000018119812,0 +coef_number_of_driving_age_children_children,-46.217713310558153,-46.217713310558153,-0.26669999957084656,0 +coef_number_of_driving_age_children_mixed,50,50,-0.9398999810218811,0 +coef_number_of_full_time_workers_adults,28.469430749747154,28.469430749747154,1.0240000486373901,0 +coef_number_of_full_time_workers_mixed,2.5181990493930466,2.5181990493930466,0.36239999532699585,0 +coef_number_of_non_workers_adults,6.8107526564830181,6.8107526564830181,0.62629997730255127,0 +coef_number_of_non_workers_mixed,-27.464491079595931,-27.464491079595931,-0.37239998579025269,0 +coef_number_of_part_time_workers_adults,12.100761555344075,12.100761555344075,0.54119998216629028,0 +coef_number_of_part_time_workers_mixed,-2.6898434127139574,-2.6898434127139574,0.31639999151229858,0 +coef_number_of_pre_driving_age_children_children,6.9278442677705971,6.9278442677705971,0.73059999942779541,0 +coef_number_of_pre_driving_age_children_mixed,34.880087194025478,34.880087194025478,0.35319998860359192,0 +coef_number_of_university_students,-3.4995325852033643,-3.4995325852033643,0.82450002431869507,0 +coef_tour_purpose_is_discretionary_adults,0.76480001211166382,0.76480001211166382,0.76480001211166382,0 +coef_tour_purpose_is_discretionary_children,0.51010000705718994,0.51010000705718994,0.51010000705718994,0 +coef_tour_purpose_is_eating_out_children,-0.96780002117156982,-0.96780002117156982,-0.96780002117156982,0 +coef_tour_purpose_is_eating_out_mixed,-0.8026999831199646,-0.8026999831199646,-0.8026999831199646,0 +coef_unavailable,-999,-999,-999,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_loglike.csv index 449c94c47..1db96994d 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_composition_SLSQP_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-9.9910306200781598,-9.7865975960368618e-07 +0,-9.9910303886936802,-0.01512359141580788 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_frequency_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_frequency_SLSQP_.csv index f6102d3c3..833d9f442 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_frequency_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_frequency_SLSQP_.csv @@ -1,77 +1,77 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_asc_0_tours,0,0,0,0,0,0 -coef_asc_1_Disc,-5.8578427473231667,-5.4805999999999999,0,,,-5.8578427473231667 -coef_asc_1_Eat,-5.140469329663599,-6.3757000000000001,0,,,-5.140469329663599 -coef_asc_1_Main,-4.843654155024959,-5.7389000000000001,0,,,-4.843654155024959 -coef_asc_1_Shop,-7.2448952266310895,-6.0148999999999999,0,,,-7.2448952266310895 -coef_asc_1_Visit,-5.9621489630619173,-5.8818000000000001,0,,,-5.9621489630619173 -coef_asc_2_tours,-15.379573080742464,-14.457599999999999,0,,,-15.379573080742464 -coef_drivingAgeStuMandMaxThree_disc,0.26420610778627868,0.19320000000000001,0,,,0.26420610778627868 -coef_drivingAgeStuMandMaxThree_maint,-0.20497838559876363,-0.32369999999999999,0,,,-0.20497838559876363 -coef_fewerCarsThanDrivers_maint,-0.23616022935294756,0.46100000000000002,0,,,-0.23616022935294756 -coef_fewerCarsThanDrivers_shopping,0.61204166063349064,0.25230000000000002,0,,,0.61204166063349064 -coef_fullTimeHomeMaxThree_zero_tours,2.0014370751255011,1.175,0,,,2.0014370751255011 -coef_fullTimeMandMaxThree_maint,-0.46248818198458952,-0.3009,0,,,-0.46248818198458952 -coef_fullTimeMandMaxThree_shopping,0.14353937037596973,-0.2424,0,,,0.14353937037596973 -coef_fullTimeNonMandMaxThree_disc,0.21817599548271277,0.1275,0,,,0.21817599548271277 -coef_fullTimeNonMandMaxThree_eatout,0.32573071809647042,0.22750000000000001,0,,,0.32573071809647042 -coef_fullTimeNonMandMaxThree_maint,0.75962622449225758,0.31730000000000003,0,,,0.75962622449225758 -coef_fullTimeNonMandMaxThree_shopping,-0.88812895503399825,0.20519999999999999,0,,,-0.88812895503399825 -coef_fullTimeNonMandMaxThree_visiting,0.78859263531566071,0.64449999999999996,0,,,0.78859263531566071 -coef_incomeBetween50And100_disc,0.0083529208127054756,0.31669999999999998,0,,,0.0083529208127054756 -coef_incomeBetween50And100_eatout,0.1031885654385253,0.29770000000000002,0,,,0.1031885654385253 -coef_incomeGreaterThan100_disc,0.62493454802487425,0.48599999999999999,0,,,0.62493454802487425 -coef_incomeGreaterThan100_eatout,0.63535874552918015,0.44919999999999999,0,,,0.63535874552918015 -coef_incomeMissing_dummy_always_zero_disc,0.37230000000000002,0.37230000000000002,0,,,0.37230000000000002 -coef_incomeMissing_dummy_always_zero_eatout,0.27800000000000002,0.27800000000000002,0,,,0.27800000000000002 -coef_logTimeWindowOverlapAdultChild_disc,0.1502559618722121,0.22120000000000001,0,,,0.1502559618722121 -coef_logTimeWindowOverlapAdultChild_eatout,-0.32038060987279043,0.092100000000000001,0,,,-0.32038060987279043 -coef_logTimeWindowOverlapAdultChild_maint,0.26959218597469214,0.24429999999999999,0,,,0.26959218597469214 -coef_logTimeWindowOverlapAdultChild_shopping,-0.41532462974126461,0.1086,0,,,-0.41532462974126461 -coef_logTimeWindowOverlapAdult_disc,0.55965786525579331,0.34279999999999999,0,,,0.55965786525579331 -coef_logTimeWindowOverlapAdult_eatout,0.56061433677445105,0.48559999999999998,0,,,0.56061433677445105 -coef_logTimeWindowOverlapAdult_maint,0.4376387335084278,0.37140000000000001,0,,,0.4376387335084278 -coef_logTimeWindowOverlapAdult_shopping,0.86405876135539128,0.59450000000000003,0,,,0.86405876135539128 -coef_logTimeWindowOverlapChild_disc,-0.1693892803512011,0.1162,0,,,-0.1693892803512011 -coef_logTimeWindowOverlapChild_maint,-0.010378552711083917,0.17599999999999999,0,,,-0.010378552711083917 -coef_logTimeWindowOverlapChild_shopping,1.0366536984300598,0.1416,0,,,1.0366536984300598 -coef_moreCarsThanWorkers_eatout,0.079480888637893488,0.38250000000000001,0,,,0.079480888637893488 -coef_moreCarsThanWorkers_shopping,-0.62780216023973168,-0.30270000000000002,0,,,-0.62780216023973168 -coef_nonWorkerHomeMaxThree_zero_tours,-0.16941211649357898,1.514,0,,,-0.16941211649357898 -coef_nonWorkerNonMandMaxThree_disc,-0.11901239265508992,0.28710000000000002,0,,,-0.11901239265508992 -coef_nonWorkerNonMandMaxThree_eatout,-0.35447708036701164,0.182,0,,,-0.35447708036701164 -coef_nonWorkerNonMandMaxThree_maint,0.37255083379371662,0.46429999999999999,0,,,0.37255083379371662 -coef_nonWorkerNonMandMaxThree_shopping,0.52326322821604476,0.70779999999999998,0,,,0.52326322821604476 -coef_nonWorkerNonMandMaxThree_visiting,-0.35989963706226813,0.54749999999999999,0,,,-0.35989963706226813 -coef_partTimeHomeMaxThree_zero_tours,1.7000746681627035,1.4470000000000001,0,,,1.7000746681627035 -coef_partTimeNonMandMaxThree_disc,0.22644058039117623,0.49790000000000001,0,,,0.22644058039117623 -coef_partTimeNonMandMaxThree_eatout,-15.770618924654787,0.3765,0,,,-15.770618924654787 -coef_partTimeNonMandMaxThree_maint,0.12155923236230654,0.2452,0,,,0.12155923236230654 -coef_partTimeNonMandMaxThree_shopping,-0.19149733628062993,0.18659999999999999,0,,,-0.19149733628062993 -coef_partTimeNonMandMaxThree_visiting,0.34840797626260722,0.13320000000000001,0,,,0.34840797626260722 -coef_preDrivingAgeMandMaxThree_disc,0.58830436658291341,0.38619999999999999,0,,,0.58830436658291341 -coef_preDrivingAgeMandMaxThree_maint,0.05724992253344495,0.22989999999999999,0,,,0.05724992253344495 -coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours,-0.26493959294530756,0.53000000000000003,0,,,-0.26493959294530756 -coef_preDrivingNonMandMaxThree_disc,0.46978892402747974,0.53310000000000002,0,,,0.46978892402747974 -coef_preDrivingNonMandMaxThree_eatout,-13.674346835309482,0.3851,0,,,-13.674346835309482 -coef_preDrivingNonMandMaxThree_maint,-0.4780031657291039,0.6482,0,,,-0.4780031657291039 -coef_preDrivingNonMandMaxThree_shopping,0.0054016798205857386,0.5474,0,,,0.0054016798205857386 -coef_preDrivingNonMandMaxThree_visiting,-1.7283257423524336,0.6008,0,,,-1.7283257423524336 -coef_retireeHomeMaxThree_zero_tours,0.3072054262466079,0.60529999999999995,0,,,0.3072054262466079 -coef_retireeNonMandMaxThree_disc,0.59539272893690953,0.61360000000000003,0,,,0.59539272893690953 -coef_retireeNonMandMaxThree_eatout,0.33706472938654847,0.4264,0,,,0.33706472938654847 -coef_retireeNonMandMaxThree_maint,0.93064231251598528,0.90500000000000003,0,,,0.93064231251598528 -coef_retireeNonMandMaxThree_shopping,0.95235573746714874,0.94099999999999995,0,,,0.95235573746714874 -coef_retireeNonMandMaxThree_visiting,0.17432279378364646,0.55789999999999995,0,,,0.17432279378364646 -coef_timeWindowOverlapAdultChild_visiting,0.14049394553264929,0.025600000000000001,0,,,0.14049394553264929 -coef_timeWindowOverlapAdult_visiting,0.11030183056319119,0.0596,0,,,0.11030183056319119 -coef_timeWindowOverlapChild_visiting,-0.060644638255823571,0.0091999999999999998,0,,,-0.060644638255823571 -coef_universityHomeMaxThree_univ_and_driving_zero_tours,-0.41040663722807053,0.56850000000000001,0,,,-0.41040663722807053 -coef_universityNonMandMaxThree_disc,-0.14472811802653573,0.75460000000000005,0,,,-0.14472811802653573 -coef_universityNonMandMaxThree_eatout,-14.080266896152475,0.40970000000000001,0,,,-14.080266896152475 -coef_universityNonMandMaxThree_maint,-0.4377287237690044,0.26429999999999998,0,,,-0.4377287237690044 -coef_universityNonMandMaxThree_shopping,1.1340537653332554,0.76480000000000004,0,,,1.1340537653332554 -coef_universityNonMandMaxThree_visiting,-18.048773540202976,0.28089999999999998,0,,,-18.048773540202976 -coef_walkRetailAccessibility_eatout,-0.027362834622908064,0.062,0,,,-0.027362834622908064 -coef_zeroAutomobiles_disc,-0.53993914183433878,-0.90900000000000003,0,,,-0.53993914183433878 -coef_zeroAutomobiles_visiting,-18.311268197408783,-0.97999999999999998,0,,,-18.311268197408783 +param_name,value,best,initvalue,nullvalue +coef_asc_0_tours,0,0,0,0 +coef_asc_1_Disc,-5.9160878944391584,-5.9160871584456292,-5.4805998802185059,0 +coef_asc_1_Eat,-5.05602837728296,-5.0560299542489355,-6.3756999969482422,0 +coef_asc_1_Main,-4.8254586155918471,-4.8254584245546122,-5.7389001846313477,0 +coef_asc_1_Shop,-7.4469694983528809,-7.4469670187782491,-6.0149002075195312,0 +coef_asc_1_Visit,-5.9551540139107804,-5.9551539232808333,-5.8818001747131348,0 +coef_asc_2_tours,-15.797075280937081,-15.797070989460588,-14.457599639892578,0 +coef_drivingAgeStuMandMaxThree_disc,0.27124464344272958,0.27124444259441294,0.1932000070810318,0 +coef_drivingAgeStuMandMaxThree_maint,-0.20737041043238222,-0.2073702201780428,-0.32370001077651978,0 +coef_fewerCarsThanDrivers_maint,-0.23816146636980665,-0.23816149718467414,0.460999995470047,0 +coef_fewerCarsThanDrivers_shopping,0.61694158860106285,0.61694159482964805,0.25229999423027039,0 +coef_fullTimeHomeMaxThree_zero_tours,1.996135901304358,1.9961359267238226,1.1749999523162842,0 +coef_fullTimeMandMaxThree_maint,-0.46241893261416922,-0.46241924052217082,-0.30090001225471497,0 +coef_fullTimeMandMaxThree_shopping,0.16560459271309827,0.16560432789309174,-0.24240000545978546,0 +coef_fullTimeNonMandMaxThree_disc,0.20480561409516004,0.20480581045554858,0.12749999761581421,0 +coef_fullTimeNonMandMaxThree_eatout,0.33389502103327529,0.33389509678618362,0.22750000655651093,0 +coef_fullTimeNonMandMaxThree_maint,0.76952765626273956,0.76952794806055913,0.31729999184608459,0 +coef_fullTimeNonMandMaxThree_shopping,-0.98031955850826391,-0.98031911603182831,0.20520000159740448,0 +coef_fullTimeNonMandMaxThree_visiting,0.76906716737028125,0.76906729748219271,0.6445000171661377,0 +coef_incomeBetween50And100_disc,0.0095094226633637528,0.0095095849856016851,0.31670001149177551,0 +coef_incomeBetween50And100_eatout,0.090560692608283727,0.09056083387775557,0.29769998788833618,0 +coef_incomeGreaterThan100_disc,0.62453536178251734,0.62453510934345091,0.48600000143051147,0 +coef_incomeGreaterThan100_eatout,0.63786709459088209,0.63786734556950364,0.44920000433921814,0 +coef_incomeMissing_dummy_always_zero_disc,0.37229999899864197,0.37229999899864197,0.37229999899864197,0 +coef_incomeMissing_dummy_always_zero_eatout,0.27799999713897705,0.27799999713897705,0.27799999713897705,0 +coef_logTimeWindowOverlapAdultChild_disc,0.15109942470522381,0.15109971903599334,0.22120000422000885,0 +coef_logTimeWindowOverlapAdultChild_eatout,-0.32364532221490494,-0.32364510943311381,0.092100001871585846,0 +coef_logTimeWindowOverlapAdultChild_maint,0.27843409869332575,0.27843422542528723,0.2442999929189682,0 +coef_logTimeWindowOverlapAdultChild_shopping,-0.42145916023520369,-0.42145897391197473,0.10859999805688858,0 +coef_logTimeWindowOverlapAdult_disc,0.5845950974994687,0.5845947676478761,0.34279999136924744,0 +coef_logTimeWindowOverlapAdult_eatout,0.54628409582637161,0.5462840489123495,0.48559999465942383,0 +coef_logTimeWindowOverlapAdult_maint,0.43015346279128713,0.43015341420863468,0.37139999866485596,0 +coef_logTimeWindowOverlapAdult_shopping,0.94448584150730952,0.94448492089225045,0.59450000524520874,0 +coef_logTimeWindowOverlapChild_disc,-0.18532337973096763,-0.18532355001439704,0.11620000004768372,0 +coef_logTimeWindowOverlapChild_maint,-0.010727634274141281,-0.010727832451482898,0.17599999904632568,0 +coef_logTimeWindowOverlapChild_shopping,1.0468422941706472,1.0468423276707255,0.14159999787807465,0 +coef_moreCarsThanWorkers_eatout,0.076914343292072182,0.076914576167953802,0.38249999284744263,0 +coef_moreCarsThanWorkers_shopping,-0.59564874997193351,-0.59564894067055596,-0.30270001292228699,0 +coef_nonWorkerHomeMaxThree_zero_tours,-0.17003939484477312,-0.17003948323362453,1.5140000581741333,0 +coef_nonWorkerNonMandMaxThree_disc,-0.13432804559300732,-0.13432811971898589,0.28709998726844788,0 +coef_nonWorkerNonMandMaxThree_eatout,-0.33401066087685138,-0.33401068347396745,0.18199999630451202,0 +coef_nonWorkerNonMandMaxThree_maint,0.37323111519137453,0.37323093350637826,0.4643000066280365,0 +coef_nonWorkerNonMandMaxThree_shopping,0.49264301488042911,0.49264292085137712,0.70779997110366821,0 +coef_nonWorkerNonMandMaxThree_visiting,-0.36437091579618403,-0.36437083429284089,0.54750001430511475,0 +coef_partTimeHomeMaxThree_zero_tours,1.7312454999054936,1.7312459096132369,1.4470000267028809,0 +coef_partTimeNonMandMaxThree_disc,0.23705977049445798,0.23705989380574119,0.49790000915527344,0 +coef_partTimeNonMandMaxThree_eatout,-5.6531002354715127,-5.6530850270781112,0.37650001049041748,0 +coef_partTimeNonMandMaxThree_maint,0.11494946476265139,0.11494961705361134,0.24519999325275421,0 +coef_partTimeNonMandMaxThree_shopping,-0.20746715181319589,-0.20746695386959577,0.18659999966621399,0 +coef_partTimeNonMandMaxThree_visiting,0.32137505891849261,0.32137524780407384,0.13320000469684601,0 +coef_preDrivingAgeMandMaxThree_disc,0.60675129362611258,0.60675111363025258,0.38620001077651978,0 +coef_preDrivingAgeMandMaxThree_maint,0.043178367483864805,0.043178519613054106,0.22990000247955322,0 +coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours,-0.25725057670419188,-0.25725026315677951,0.52999997138977051,0 +coef_preDrivingNonMandMaxThree_disc,0.49100040690235336,0.49100032365079044,0.53310000896453857,0 +coef_preDrivingNonMandMaxThree_eatout,-3.5007131527538413,-3.5007016569353477,0.38510000705718994,0 +coef_preDrivingNonMandMaxThree_maint,-0.47732053847248312,-0.47732051937471986,0.64819997549057007,0 +coef_preDrivingNonMandMaxThree_shopping,-0.0012986266652305054,-0.0012987293702714738,0.54739999771118164,0 +coef_preDrivingNonMandMaxThree_visiting,-1.6293887060843797,-1.6293896015520914,0.60079997777938843,0 +coef_retireeHomeMaxThree_zero_tours,0.34966179334551972,0.34966146316807412,0.60530000925064087,0 +coef_retireeNonMandMaxThree_disc,0.59640088460538709,0.59640107482430083,0.61360001564025879,0 +coef_retireeNonMandMaxThree_eatout,0.3499795761045531,0.34997959789937416,0.42640000581741333,0 +coef_retireeNonMandMaxThree_maint,0.93716736904164089,0.93716740436084434,0.90499997138977051,0 +coef_retireeNonMandMaxThree_shopping,0.9325100820582326,0.93251039206065178,0.94099998474121094,0 +coef_retireeNonMandMaxThree_visiting,0.1668284024031404,0.16682870749583406,0.55790001153945923,0 +coef_timeWindowOverlapAdultChild_visiting,0.13881492846958488,0.13881496732242621,0.025599999353289604,0 +coef_timeWindowOverlapAdult_visiting,0.11182157577140597,0.11182154572794807,0.059599999338388443,0 +coef_timeWindowOverlapChild_visiting,-0.059018654499507453,-0.05901868676849447,0.0092000002041459084,0 +coef_universityHomeMaxThree_univ_and_driving_zero_tours,-0.3806558129102493,-0.38065581874970073,0.56849998235702515,0 +coef_universityNonMandMaxThree_disc,-0.15852221488464341,-0.15852211136829161,0.75459998846054077,0 +coef_universityNonMandMaxThree_eatout,-4.1215214477423272,-4.1215091850562358,0.40970000624656677,0 +coef_universityNonMandMaxThree_maint,-0.46680029014718827,-0.46680012462022286,0.26429998874664307,0 +coef_universityNonMandMaxThree_shopping,1.1067199892366495,1.1067201908411548,0.76480001211166382,0 +coef_universityNonMandMaxThree_visiting,-5.6416612820161021,-5.6416452449924739,0.28090000152587891,0 +coef_walkRetailAccessibility_eatout,-0.035796009413743196,-0.035795796225119095,0.061999998986721039,0 +coef_zeroAutomobiles_disc,-0.52859607918243423,-0.52859621558900038,-0.9089999794960022,0 +coef_zeroAutomobiles_visiting,-5.8405847342282176,-5.8405705977466207,-0.98000001907348633,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_participation_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_participation_SLSQP_.csv index c60173aa0..b9a0635d7 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_participation_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_joint_tour_participation_SLSQP_.csv @@ -1,60 +1,60 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_adult_log_of_max_window_overlap_with_a_child_mixed,4.5940415543572257,2.1890000000000001,0,,,4.5940415543572257 -coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party,1.6916936883427531,0.84360000000000002,0,,,1.6916936883427531 -coef_adult_more_automobiles_than_workers_adult_only_party,0.31139003577268975,-0.21329999999999999,0,,,0.31139003577268975 -coef_adult_more_automobiles_than_workers_mixed_party,-1.8020541380547712,-0.60309999999999997,0,,,-1.8020541380547712 -coef_adult_number_of_joint_tours_adult_only,-2.1332672475172423,-0.32419999999999999,0,,,-2.1332672475172423 -coef_adult_number_of_joint_tours_mixed,-12.011984079880781,-0.3584,0,,,-12.011984079880781 -coef_adult_number_of_other_adults_in_the_household_adults_only_party,0,0,0,0,0,0 -coef_adult_number_of_other_adults_in_the_household_mixed_party,0,0,0,0,0,0 -coef_child_log_of_max_window_overlap_with_a_child_child,1.296,1.296,0,,,1.296 -coef_child_log_of_max_window_overlap_with_an_adult_mixed,1.538,1.538,0,,,1.538 -coef_child_more_automobiles_than_workers_child_only_party,-0.4214,-0.4214,0,,,-0.4214 -coef_child_more_automobiles_than_workers_mixed_party,-1.5765541380547705,-0.37759999999999999,0,,,-1.5765541380547705 -coef_child_number_of_joint_tours_child_only,25.834459257330721,0.1047,0,,,25.834459257330721 -coef_child_number_of_joint_tours_mixed,89.315973889991952,-0.50890000000000002,0,,,89.315973889991952 -coef_child_number_of_other_children_in_the_household_child_only_party,0,0,0,0,0,0 -coef_child_number_of_other_children_in_the_household_mixed,0,0,0,0,0,0 -coef_child_too_young_for_school_children_only_party,-2.786,-2.786,0,,,-2.786 -coef_child_too_young_for_school_mixed_party,12.484734556961985,-1.893,0,,,12.484734556961985 -coef_child_too_young_for_school_specific_to_discretionary_joint_tours,0.12839999999999999,0.12839999999999999,0,,,0.12839999999999999 -coef_child_too_young_for_school_specific_to_eating_out_joint_tours,0.65890000000000004,0.65890000000000004,0,,,0.65890000000000004 -coef_driving_age_student_children_only_party,-1.8220000000000001,-1.8220000000000001,0,,,-1.8220000000000001 -coef_driving_age_student_mixed_party,-131.65706593958799,-1.353,0,,,-131.65706593958799 -coef_driving_age_student_specific_to_discretionary_joint_tours,-0.66749999999999998,-0.66749999999999998,0,,,-0.66749999999999998 -coef_driving_age_student_specific_to_eating_out_joint_tours,2.3439999999999999,2.3439999999999999,0,,,2.3439999999999999 -coef_dummy_for_high_income_for_adult_in_adult_party,0.1318998436337066,-0.16819999999999999,0,,,0.1318998436337066 -coef_dummy_for_high_income_for_adult_in_mixed_party,-0.38289361131114391,-0.02613,0,,,-0.38289361131114391 -coef_dummy_for_high_income_for_child_in_children_party,-0.56189999999999996,-0.56189999999999996,0,,,-0.56189999999999996 -coef_dummy_for_high_income_for_child_in_mixed_party,-0.50956361131120043,-0.15279999999999999,0,,,-0.50956361131120043 -coef_full_time_worker_mixed_party,-50.846659765191049,-3.5659999999999998,0,,,-50.846659765191049 -coef_full_time_worker_mixed_party_not,0.5,0.5,0,0.5,0.5,0.5 -coef_full_time_worker_specific_to_discretionary_joint_tours,0.43919999999999998,0.43919999999999998,0,,,0.43919999999999998 -coef_full_time_worker_specific_to_discretionary_joint_tours_not,0.5,0.5,0,0.5,0.5,0.5 -coef_full_time_worker_specific_to_eating_out_joint_tours,0.7157,0.7157,0,,,0.7157 -coef_full_time_worker_specific_to_eating_out_joint_tours_not,0.5,0.5,0,0.5,0.5,0.5 -coef_household_in_suburban_area_adult_adult_only_party,0,0,0,0,0,0 -coef_household_in_suburban_area_adult_mixed_party,-0.060069999999999998,-0.060069999999999998,0,,,-0.060069999999999998 -coef_household_in_suburban_area_child_child_only_party,0,0,0,0,0,0 -coef_household_in_suburban_area_child_mixed_party,0,0,0,0,0,0 -coef_household_in_urban_area_adult_adult_only_party,0,0,0,0,0,0 -coef_household_in_urban_area_adult_mixed_party,55.591278075644887,-0.13700000000000001,0,,,55.591278075644887 -coef_household_in_urban_area_child_child_only_party,26.939759257330742,1.21,0,,,26.939759257330742 -coef_household_in_urban_area_child_mixed_party,-101.1258709375923,0.62649999999999995,0,,,-101.1258709375923 -coef_non_worker_adults_only_party,-4.0792805161736174,-3.1640000000000001,0,,,-4.0792805161736174 -coef_non_worker_mixed_party,76.628151288066263,0.71519999999999995,0,,,76.628151288066263 -coef_non_worker_specific_to_discretionary_joint_tours,-0.1835,-0.1835,0,,,-0.1835 -coef_non_worker_specific_to_eating_out_joint_tours,0.16170000000000001,0.16170000000000001,0,,,0.16170000000000001 -coef_part_time_worker_adults_only_party,-3.2478258169504657,-3.5659999999999998,0,,,-3.2478258169504657 -coef_part_time_worker_adults_only_party_not,0.5,0.5,0,0.5,0.5,0.5 -coef_part_time_worker_mixed_party,70.07529311830892,-0.36549999999999999,0,,,70.07529311830892 -coef_part_time_worker_specific_to_discretionary_joint_tours,0.28499999999999998,0.28499999999999998,0,,,0.28499999999999998 -coef_part_time_worker_specific_to_eating_out_joint_tours,2.1880000000000002,2.1880000000000002,0,,,2.1880000000000002 -coef_pre_driving_age_student_children_only_party,25.008059257330711,-0.72170000000000001,0,,,25.008059257330711 -coef_pre_driving_age_student_mixed_party,12.421960445033344,-1.752,0,,,12.421960445033344 -coef_pre_driving_age_student_specific_to_discretionary_joint_tours,0.66259999999999997,0.66259999999999997,0,,,0.66259999999999997 -coef_pre_driving_age_student_specific_to_eating_out_joint_tours,1.391,1.391,0,,,1.391 -coef_unavailable,-999,-999,0,-999,-999,-999 -coef_university_student_mixed_party,-52.255368272022992,-3.0409999999999999,0,,,-52.255368272022992 -coef_university_student_specific_to_discretionary_joint_tours,0,0,0,0,0,0 -coef_university_student_specific_to_eating_out_joint_tours,-0.81999999999999995,-0.81999999999999995,0,,,-0.81999999999999995 +param_name,value,best,initvalue,nullvalue +coef_adult_log_of_max_window_overlap_with_a_child_mixed,4.5951782780582482,4.5951781033354839,2.1889998912811279,0 +coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party,1.6633592801800163,1.6633593140698184,0.84359997510910034,0 +coef_adult_more_automobiles_than_workers_adult_only_party,0.31066873854811811,0.31066870271882263,-0.21330000460147858,0 +coef_adult_more_automobiles_than_workers_mixed_party,-1.8032448224599575,-1.803244785082267,-0.6031000018119812,0 +coef_adult_number_of_joint_tours_adult_only,-2.0764783287527235,-2.0764784513924197,-0.32420000433921814,0 +coef_adult_number_of_joint_tours_mixed,-4.6560544367999661,-4.6560542069402064,-0.35839998722076416,0 +coef_adult_number_of_other_adults_in_the_household_adults_only_party,0,0,0,0 +coef_adult_number_of_other_adults_in_the_household_mixed_party,0,0,0,0 +coef_child_log_of_max_window_overlap_with_a_child_child,1.2960000038146973,1.2960000038146973,1.2960000038146973,0 +coef_child_log_of_max_window_overlap_with_an_adult_mixed,1.5379999876022339,1.5379999876022339,1.5379999876022339,0 +coef_child_more_automobiles_than_workers_child_only_party,-0.42140001058578491,-0.42140001058578491,-0.42140001058578491,0 +coef_child_more_automobiles_than_workers_mixed_party,-1.5777448348577667,-1.5777447974800762,-0.37760001420974731,0 +coef_child_number_of_joint_tours_child_only,13.579540492742831,13.579540463017146,0.1046999990940094,0 +coef_child_number_of_joint_tours_mixed,20.015257060305416,20.01525831304766,-0.508899986743927,0 +coef_child_number_of_other_children_in_the_household_child_only_party,0,0,0,0 +coef_child_number_of_other_children_in_the_household_mixed,0,0,0,0 +coef_child_too_young_for_school_children_only_party,-2.7860000133514404,-2.7860000133514404,-2.7860000133514404,0 +coef_child_too_young_for_school_mixed_party,8.3656227270333634,8.3656222958055366,-1.8930000066757202,0 +coef_child_too_young_for_school_specific_to_discretionary_joint_tours,0.12839999794960022,0.12839999794960022,0.12839999794960022,0 +coef_child_too_young_for_school_specific_to_eating_out_joint_tours,0.65890002250671387,0.65890002250671387,0.65890002250671387,0 +coef_driving_age_student_children_only_party,-1.8220000267028809,-1.8220000267028809,-1.8220000267028809,0 +coef_driving_age_student_mixed_party,-50,-50,-1.3530000448226929,0 +coef_driving_age_student_specific_to_discretionary_joint_tours,-0.66750001907348633,-0.66750001907348633,-0.66750001907348633,0 +coef_driving_age_student_specific_to_eating_out_joint_tours,2.3440001010894775,2.3440001010894775,2.3440001010894775,0 +coef_dummy_for_high_income_for_adult_in_adult_party,0.12621381061004386,0.12621385992786305,-0.16820000112056732,0 +coef_dummy_for_high_income_for_adult_in_mixed_party,-0.38299804175110763,-0.38299804898262102,-0.026130000129342079,0 +coef_dummy_for_high_income_for_child_in_children_party,-0.56190001964569092,-0.56190001964569092,-0.56190001964569092,0 +coef_dummy_for_high_income_for_child_in_mixed_party,-0.50966803537514371,-0.5096680426066571,-0.15279999375343323,0 +coef_full_time_worker_mixed_party,-18.56632640293509,-18.566326638673267,-3.5659999847412109,0 +coef_full_time_worker_mixed_party_not,0.5,0.5,0.5,0 +coef_full_time_worker_specific_to_discretionary_joint_tours,0.4392000138759613,0.4392000138759613,0.4392000138759613,0 +coef_full_time_worker_specific_to_discretionary_joint_tours_not,0.5,0.5,0.5,0 +coef_full_time_worker_specific_to_eating_out_joint_tours,0.71569997072219849,0.71569997072219849,0.71569997072219849,0 +coef_full_time_worker_specific_to_eating_out_joint_tours_not,0.5,0.5,0.5,0 +coef_household_in_suburban_area_adult_adult_only_party,0,0,0,0 +coef_household_in_suburban_area_adult_mixed_party,-0.06007000058889389,-0.06007000058889389,-0.06007000058889389,0 +coef_household_in_suburban_area_child_child_only_party,0,0,0,0 +coef_household_in_suburban_area_child_mixed_party,0,0,0,0 +coef_household_in_urban_area_adult_adult_only_party,0,0,0,0 +coef_household_in_urban_area_adult_mixed_party,15.95349033775349,15.953490704515609,-0.13699999451637268,0 +coef_household_in_urban_area_child_child_only_party,14.684840531795903,14.684840502070218,1.2100000381469727,0 +coef_household_in_urban_area_child_mixed_party,-27.706374555887564,-27.706375390127885,0.62650001049041748,0 +coef_non_worker_adults_only_party,-4.0512566140539823,-4.0512566665328293,-3.1640000343322754,0 +coef_non_worker_mixed_party,24.232596176450738,24.232596639515961,0.71520000696182251,0 +coef_non_worker_specific_to_discretionary_joint_tours,-0.1835000067949295,-0.1835000067949295,-0.1835000067949295,0 +coef_non_worker_specific_to_eating_out_joint_tours,0.16169999539852142,0.16169999539852142,0.16169999539852142,0 +coef_part_time_worker_adults_only_party,-3.2257432923239446,-3.2257432422956698,-3.5659999847412109,0 +coef_part_time_worker_adults_only_party_not,0.5,0.5,0.5,0 +coef_part_time_worker_mixed_party,22.126834905159047,22.126835266655284,-0.36550000309944153,0 +coef_part_time_worker_specific_to_discretionary_joint_tours,0.28499999642372131,0.28499999642372131,0.28499999642372131,0 +coef_part_time_worker_specific_to_eating_out_joint_tours,2.187999963760376,2.187999963760376,2.187999963760376,0 +coef_pre_driving_age_student_children_only_party,12.753140480965085,12.7531404512394,-0.72170001268386841,0 +coef_pre_driving_age_student_mixed_party,8.3035034193009718,8.3035030162498487,-1.7519999742507935,0 +coef_pre_driving_age_student_specific_to_discretionary_joint_tours,0.66259998083114624,0.66259998083114624,0.66259998083114624,0 +coef_pre_driving_age_student_specific_to_eating_out_joint_tours,1.3910000324249268,1.3910000324249268,1.3910000324249268,0 +coef_unavailable,-999,-999,-999,0 +coef_university_student_mixed_party,-19.976674136225505,-19.976674380042439,-3.0409998893737793,0 +coef_university_student_specific_to_discretionary_joint_tours,0,0,0,0 +coef_university_student_specific_to_eating_out_joint_tours,-0.81999999284744263,-0.81999999284744263,-0.81999999284744263,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_BHHH_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_BHHH_.csv index 3f5af851e..2c5dc3ee1 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_BHHH_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_BHHH_.csv @@ -1,54 +1,54 @@ -,value,initvalue,nullvalue,minimum,maximum,best -0,0,0,0,0,0,0 -coef_can_walk_to_work_and_school,0.072221053570087068,0.1391,0,,,0.072221053570087068 -coef_can_walk_to_work_school2,1.368189229871656,0.71140000000000003,0,,,1.368189229871656 -coef_can_walk_to_work_work2,0.6511271300905388,0.52680000000000005,0,,,0.6511271300905388 -coef_driving_age_child_school2_asc,-10.76072459479807,-3.1360000000000001,0,,,-10.76072459479807 -coef_driving_age_child_work_and_school_asc,-58.117517308879499,-4.4362000000000004,0,,,-58.117517308879499 -coef_female_school1,0.2474431563125136,0.15920000000000001,0,,,0.2474431563125136 -coef_female_school2,-0.3012348896462545,0.114,0,,,-0.3012348896462545 -coef_female_work1,-2.2434862184806872,0.17369999999999999,0,,,-2.2434862184806872 -coef_female_work2,-0.3875204207258891,-0.22550000000000001,0,,,-0.3875204207258891 -coef_female_work_and_school,-3.2183973184973143,-0.34420000000000001,0,,,-3.2183973184973143 -coef_few_cars_than_drivers_school2,-0.86352025026207002,-0.57589999999999997,0,,,-0.86352025026207002 -coef_ft_worker_work2_asc,-15.631616769904962,-3.3780999999999999,0,,,-15.631616769904962 -coef_hh_income_gt_50k_school1,0.034700030521069632,0.034700000000000002,0,,,0.034700030521069632 -coef_hh_income_gt_50k_student_work_and_school,-0.92170661372181706,-0.0528,0,,,-0.92170661372181706 -coef_hh_income_gt_50k_work,-1.4190912531326889,-0.0528,0,,,-1.4190912531326889 -coef_hh_income_gt_50k_worker_work_and_school,0.034699971829526256,0.034700000000000002,0,,,0.034699971829526256 -coef_home_urban_school1,-0.13610000344523163,-0.1361,0,,,-0.13610000344523163 -coef_home_urban_school2,-11.830881608079386,0.317,0,,,-11.830881608079386 -coef_home_urban_work1,24.254352793957736,-0.28310000000000002,0,,,24.254352793957736 -coef_home_urban_work2,12.738503782102926,0.23080000000000001,0,,,12.738503782102926 -coef_home_urban_work_and_school,-2.9755482471380152,-0.35089999999999999,0,,,-2.9755482471380152 -coef_no_cars_in_hh_school2,-0.6201622889361833,-1.413,0,,,-0.6201622889361833 -coef_no_cars_in_hh_work2,-0.72588656952288921,-1.306,0,,,-0.72588656952288921 -coef_no_cars_in_hh_work_and_school,-0.7768760244151115,-1.302,0,,,-0.7768760244151115 -coef_non_family_hh_category1,-0.25000005548208493,-0.25,0,,,-0.25000005548208493 -coef_non_family_hh_category2,-18.224089926229215,-0.1792,0,,,-18.224089926229215 -coef_non_student_goes_to_school,3.883000012592801,3.883,0,,,3.883000012592801 -coef_num_non_workers_in_hh_school1,0.25739997881575821,0.25740000000000002,0,,,0.25739997881575821 -coef_num_preschool_in_hh_school1,-0.13350001004490689,-0.13350000000000001,0,,,-0.13350001004490689 -coef_num_preschool_in_hh_school2,0.35689505282246176,-0.55769999999999997,0,,,0.35689505282246176 -coef_num_preschool_in_hh_work1,-2.9320917687605954,0.21909999999999999,0,,,-2.9320917687605954 -coef_num_preschool_in_hh_work2,0.22500429804995042,-0.14779999999999999,0,,,0.22500429804995042 -coef_num_preschool_in_hh_work_and_school,-291.65982798845073,-0.12509999999999999,0,,,-291.65982798845073 -coef_num_under_16_not_at_school_school2,-0.63862137361032489,0.086599999999999996,0,,,-0.63862137361032489 -coef_num_under_16_not_at_school_work2,-0.11866867638023079,0.1804,0,,,-0.11866867638023079 -coef_num_under_16_not_at_school_work_and_school,-18.884178394306563,-0.19550000000000001,0,,,-18.884178394306563 -coef_pre_driving_age_child_school2_asc,7.0553066040769048,-3.9702999999999999,0,,,7.0553066040769048 -coef_pt_worker_work2_asc,-14.856919777024819,-3.0476000000000001,0,,,-14.856919777024819 -coef_round_trip_auto_time_to_work_school2,0.064396584422453232,-0.0033999999999999998,0,,,0.064396584422453232 -coef_round_trip_auto_time_to_work_work2,-0.025902525682352791,-0.0035000000000000001,0,,,-0.025902525682352791 -coef_round_trip_auto_time_to_work_work_and_school,-0.02180773780300839,-0.0030999999999999999,0,,,-0.02180773780300839 -coef_student_employed,61.497344836308677,3.0139999999999998,0,,,61.497344836308677 -coef_unavailable,-999,-999,0,-999,-999,-999 -coef_under_35_school1,0.7218,0.7218,0,,,0.7218 -coef_under_35_school2,27.445525973793494,1.2749999999999999,0,,,27.445525973793494 -coef_under_35_work1,1.0375724814647256,-0.46289999999999998,0,,,1.0375724814647256 -coef_under_35_work2,-0.25382084017500217,-0.13750000000000001,0,,,-0.25382084017500217 -coef_under_35_work_and_school,2.256932391854527,0.97609999999999997,0,,,2.256932391854527 -coef_univ_school2_asc,-19.291663549848391,-3.7429000000000001,0,,,-19.291663549848391 -coef_univ_work1_asc,26.703452792641354,2.1659999999999999,0,,,26.703452792641354 -coef_univ_work2_asc,35.174040311644283,-1.3965000000000001,0,,,35.174040311644283 -coef_univ_work_and_school_asc,51.163969004277625,0.10730000000000001,0,,,51.163969004277625 +param_name,value,best,initvalue,nullvalue +0,0,0,0,0 +coef_can_walk_to_work_and_school,0.071963467898163519,0.071963467898163519,0.13910000026226044,0 +coef_can_walk_to_work_school2,1.3682146498522929,1.3682146498522929,0.71139997243881226,0 +coef_can_walk_to_work_work2,0.65113800717686054,0.65113800717686054,0.52679997682571411,0 +coef_driving_age_child_school2_asc,-10.760724267208685,-10.760724267208685,-3.1359999179840088,0 +coef_driving_age_child_work_and_school_asc,-58.117542193724134,-58.117542193724134,-4.4362001419067383,0 +coef_female_school1,0.24693966666339068,0.24693966666339068,0.15919999778270721,0 +coef_female_school2,-0.30156175637229587,-0.30156175637229587,0.11400000005960464,0 +coef_female_work1,-2.2432731743178365,-2.2432731743178365,0.1737000048160553,0 +coef_female_work2,-0.38747695440528995,-0.38747695440528995,-0.22550000250339508,0 +coef_female_work_and_school,-3.2184568767600301,-3.2184568767600301,-0.34419998526573181,0 +coef_few_cars_than_drivers_school2,-0.86287494081897043,-0.86287494081897043,-0.57590001821517944,0 +coef_ft_worker_work2_asc,-15.631596564333391,-15.631596564333391,-3.3780999183654785,0 +coef_hh_income_gt_50k_school1,0.034699998903999218,0.034699998903999218,0.034699998795986176,0 +coef_hh_income_gt_50k_student_work_and_school,-0.92151889984559776,-0.92151889984559776,-0.052799999713897705,0 +coef_hh_income_gt_50k_work,-1.4188850438199954,-1.4188850438199954,-0.052799999713897705,0 +coef_hh_income_gt_50k_worker_work_and_school,0.034699998835916637,0.034699998835916637,0.034699998795986176,0 +coef_home_urban_school1,-0.1360999941739981,-0.1360999941739981,-0.13609999418258667,0 +coef_home_urban_school2,-11.831044462083096,-11.831044462083096,0.31700000166893005,0 +coef_home_urban_work1,24.254289912474832,24.254289912474832,-0.28310000896453857,0 +coef_home_urban_work2,12.738486792776087,12.738486792776087,0.23080000281333923,0 +coef_home_urban_work_and_school,-2.9754582133928946,-2.9754582133928946,-0.35089999437332153,0 +coef_no_cars_in_hh_school2,-0.62062284302473281,-0.62062284302473281,-1.4129999876022339,0 +coef_no_cars_in_hh_work2,-0.72590052527502258,-0.72590052527502258,-1.3059999942779541,0 +coef_no_cars_in_hh_work_and_school,-0.77649868370275865,-0.77649868370275865,-1.3020000457763672,0 +coef_non_family_hh_category1,-0.25000000001603168,-0.25000000001603168,-0.25,0 +coef_non_family_hh_category2,-18.224086954408719,-18.224086954408719,-0.17919999361038208,0 +coef_non_student_goes_to_school,3.8829998970263762,3.8829998970263762,3.8829998970031738,0 +coef_num_non_workers_in_hh_school1,0.2574000060601766,0.2574000060601766,0.25740000605583191,0 +coef_num_preschool_in_hh_school1,-0.1334999948664459,-0.1334999948664459,-0.13349999487400055,0 +coef_num_preschool_in_hh_school2,0.35679291623910225,0.35679291623910225,-0.55769997835159302,0 +coef_num_preschool_in_hh_work1,-2.9311650176345023,-2.9311650176345023,0.21909999847412109,0 +coef_num_preschool_in_hh_work2,0.22506526227617765,0.22506526227617765,-0.14779999852180481,0 +coef_num_preschool_in_hh_work_and_school,-1120.7076517335183,-1120.7076517335183,-0.12510000169277191,0 +coef_num_under_16_not_at_school_school2,-0.63850525564048144,-0.63850525564048144,0.08659999817609787,0 +coef_num_under_16_not_at_school_work2,-0.11879303600656704,-0.11879303600656704,0.18039999902248383,0 +coef_num_under_16_not_at_school_work_and_school,-72.572511675156974,-72.572511675156974,-0.19550000131130219,0 +coef_pre_driving_age_child_school2_asc,7.0553915333001287,7.0553915333001287,-3.9702999591827393,0 +coef_pt_worker_work2_asc,-14.85688697195045,-14.85688697195045,-3.0476000308990479,0 +coef_round_trip_auto_time_to_work_school2,0.064402441888329359,0.064402441888329359,-0.0034000000450760126,0 +coef_round_trip_auto_time_to_work_work2,-0.025903740882998762,-0.025903740882998762,-0.0035000001080334187,0 +coef_round_trip_auto_time_to_work_work_and_school,-0.021807011903415791,-0.021807011903415791,-0.0031000000890344381,0 +coef_student_employed,61.49730201724514,61.49730201724514,3.0139999389648438,0 +coef_unavailable,-999,-999,-999,0 +coef_under_35_school1,0.72180002927780151,0.72180002927780151,0.72180002927780151,0 +coef_under_35_school2,27.44527439728251,27.44527439728251,1.2749999761581421,0 +coef_under_35_work1,1.0377437873346973,1.0377437873346973,-0.46290001273155212,0 +coef_under_35_work2,-0.25384424363084357,-0.25384424363084357,-0.13750000298023224,0 +coef_under_35_work_and_school,2.2567986605803032,2.2567986605803032,0.97610002756118774,0 +coef_univ_school2_asc,-19.29191150330508,-19.29191150330508,-3.7428998947143555,0 +coef_univ_work1_asc,26.703389810868742,26.703389810868742,2.1659998893737793,0 +coef_univ_work2_asc,35.173970384221057,35.173970384221057,-1.3964999914169312,0 +coef_univ_work_and_school_asc,51.164083831710279,51.164083831710279,0.10729999840259552,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_.csv index fd8238225..457583ab1 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_.csv @@ -1,54 +1,54 @@ -,value,initvalue,nullvalue,minimum,maximum,best -0,0,0,0,0,0,0 -coef_can_walk_to_work_and_school,0.071630314724926147,0.1391,0,,,0.071630314724926147 -coef_can_walk_to_work_school2,1.3680922080710298,0.71140000000000003,0,,,1.3680922080710298 -coef_can_walk_to_work_work2,0.65112015867036332,0.52680000000000005,0,,,0.65112015867036332 -coef_driving_age_child_school2_asc,-13.067731116342266,-3.1360000000000001,0,,,-13.067731116342266 -coef_driving_age_child_work_and_school_asc,-12.605997463132249,-4.4362000000000004,0,,,-12.605997463132249 -coef_female_school1,0.24708609009193822,0.15920000000000001,0,,,0.24708609009193822 -coef_female_school2,-0.30133903622407632,0.114,0,,,-0.30133903622407632 -coef_female_work1,-2.2427478904369504,0.17369999999999999,0,,,-2.2427478904369504 -coef_female_work2,-0.38741093683095679,-0.22550000000000001,0,,,-0.38741093683095679 -coef_female_work_and_school,-3.2182798790112783,-0.34420000000000001,0,,,-3.2182798790112783 -coef_few_cars_than_drivers_school2,-0.86245057209463027,-0.57589999999999997,0,,,-0.86245057209463027 -coef_ft_worker_work2_asc,-5.5179331616722695,-3.3780999999999999,0,,,-5.5179331616722695 -coef_hh_income_gt_50k_school1,0.034700000000000002,0.034700000000000002,0,,,0.034700000000000002 -coef_hh_income_gt_50k_student_work_and_school,-0.92117498986723134,-0.0528,0,,,-0.92117498986723134 -coef_hh_income_gt_50k_work,-1.418550817944235,-0.0528,0,,,-1.418550817944235 -coef_hh_income_gt_50k_worker_work_and_school,0.034700000000000002,0.034700000000000002,0,,,0.034700000000000002 -coef_home_urban_school1,-0.1361,-0.1361,0,,,-0.1361 -coef_home_urban_school2,-8.4556148704436787,0.317,0,,,-8.4556148704436787 -coef_home_urban_work1,4.0267960749153291,-0.28310000000000002,0,,,4.0267960749153291 -coef_home_urban_work2,2.6248540229034232,0.23080000000000001,0,,,2.6248540229034232 -coef_home_urban_work_and_school,-0.44707001996924778,-0.35089999999999999,0,,,-0.44707001996924778 -coef_no_cars_in_hh_school2,-0.62046508539739775,-1.413,0,,,-0.62046508539739775 -coef_no_cars_in_hh_work2,-0.72596662468976358,-1.306,0,,,-0.72596662468976358 -coef_no_cars_in_hh_work_and_school,-0.77593437523044428,-1.302,0,,,-0.77593437523044428 -coef_non_family_hh_category1,-0.25,-0.25,0,,,-0.25 -coef_non_family_hh_category2,5.0007710032851715,-0.1792,0,,,5.0007710032851715 -coef_non_student_goes_to_school,3.883,3.883,0,,,3.883 -coef_num_non_workers_in_hh_school1,0.25740000000000002,0.25740000000000002,0,,,0.25740000000000002 -coef_num_preschool_in_hh_school1,-0.13350000000000001,-0.13350000000000001,0,,,-0.13350000000000001 -coef_num_preschool_in_hh_school2,0.35665962262224188,-0.55769999999999997,0,,,0.35665962262224188 -coef_num_preschool_in_hh_work1,-2.9305005867030882,0.21909999999999999,0,,,-2.9305005867030882 -coef_num_preschool_in_hh_work2,0.22517317861058084,-0.14779999999999999,0,,,0.22517317861058084 -coef_num_preschool_in_hh_work_and_school,-29.197568875282681,-0.12509999999999999,0,,,-29.197568875282681 -coef_num_under_16_not_at_school_school2,-0.63829340447675476,0.086599999999999996,0,,,-0.63829340447675476 -coef_num_under_16_not_at_school_work2,-0.11899114846640058,0.1804,0,,,-0.11899114846640058 -coef_num_under_16_not_at_school_work_and_school,-15.357906680125023,-0.19550000000000001,0,,,-15.357906680125023 -coef_pre_driving_age_child_school2_asc,3.6797262862761189,-3.9702999999999999,0,,,3.6797262862761189 -coef_pt_worker_work2_asc,-4.7432419645081501,-3.0476000000000001,0,,,-4.7432419645081501 -coef_round_trip_auto_time_to_work_school2,0.064410816444162883,-0.0033999999999999998,0,,,0.064410816444162883 -coef_round_trip_auto_time_to_work_work2,-0.025905460423305656,-0.0035000000000000001,0,,,-0.025905460423305656 -coef_round_trip_auto_time_to_work_work_and_school,-0.021803756470739271,-0.0030999999999999999,0,,,-0.021803756470739271 -coef_student_employed,13.457255204029515,3.0139999999999998,0,,,13.457255204029515 -coef_unavailable,-999,-999,0,-999,-999,-999 -coef_under_35_school1,0.7218,0.7218,0,,,0.7218 -coef_under_35_school2,15.011164063565253,1.2749999999999999,0,,,15.011164063565253 -coef_under_35_work1,1.0382419681378368,-0.46289999999999998,0,,,1.0382419681378368 -coef_under_35_work2,-0.25387498090125782,-0.13750000000000001,0,,,-0.25387498090125782 -coef_under_35_work_and_school,2.2570354258963481,0.97609999999999997,0,,,2.2570354258963481 -coef_univ_school2_asc,-10.233810040377643,-3.7429000000000001,0,,,-10.233810040377643 -coef_univ_work1_asc,6.475896074915326,2.1659999999999999,0,,,6.475896074915326 -coef_univ_work2_asc,4.8330291490834876,-1.3965000000000001,0,,,4.8330291490834876 -coef_univ_work_and_school_asc,8.1809274431629717,0.10730000000000001,0,,,8.1809274431629717 +param_name,value,best,initvalue,nullvalue +0,0,0,0,0 +coef_can_walk_to_work_and_school,0.20132027468875283,0.20132027468479921,0.13910000026226044,0 +coef_can_walk_to_work_school2,0.96010731757888212,0.96010731757834789,0.71139997243881226,0 +coef_can_walk_to_work_work2,0.73122607984567289,0.73122607983903865,0.52679997682571411,0 +coef_driving_age_child_school2_asc,-5.7172473630323095,-5.7172473630089566,-3.1359999179840088,0 +coef_driving_age_child_work_and_school_asc,-4.4775478428522311,-4.477547842857807,-4.4362001419067383,0 +coef_female_school1,-1.1179750622419278,-1.117975062224638,0.15919999778270721,0 +coef_female_school2,-0.48952027651274382,-0.48952027650816798,0.11400000005960464,0 +coef_female_work1,-2.0511063704156607,-2.0511063703883035,0.1737000048160553,0 +coef_female_work2,-0.41490266839201562,-0.4149026683981944,-0.22550000250339508,0 +coef_female_work_and_school,-2.9966902230088177,-2.9966902229830907,-0.34419998526573181,0 +coef_few_cars_than_drivers_school2,-0.55452509049148058,-0.55452509048768461,-0.57590001821517944,0 +coef_ft_worker_work2_asc,-3.8025869871232629,-3.8025869871213596,-3.3780999183654785,0 +coef_hh_income_gt_50k_school1,0.034699998795986176,0.034699998795986176,0.034699998795986176,0 +coef_hh_income_gt_50k_student_work_and_school,-0.17920043049685666,-0.17920043049604578,-0.052799999713897705,0 +coef_hh_income_gt_50k_work,-0.66212675917984232,-0.66212675918375841,-0.052799999713897705,0 +coef_hh_income_gt_50k_worker_work_and_school,0.034699998795986176,0.034699998795986176,0.034699998795986176,0 +coef_home_urban_school1,-0.13609999418258667,-0.13609999418258667,-0.13609999418258667,0 +coef_home_urban_school2,-2.1094338222937941,-2.1094338222674192,0.31700000166893005,0 +coef_home_urban_work1,0.34863867027519652,0.34863867026166911,-0.28310000896453857,0 +coef_home_urban_work2,0.76429400769443512,0.76429400769779043,0.23080000281333923,0 +coef_home_urban_work_and_school,-0.33420724299781907,-0.33420724299927923,-0.35089999437332153,0 +coef_no_cars_in_hh_school2,-0.3281459638377332,-0.32814596385333328,-1.4129999876022339,0 +coef_no_cars_in_hh_work2,-0.66209007579299561,-0.66209007577665158,-1.3059999942779541,0 +coef_no_cars_in_hh_work_and_school,-0.92494433055696312,-0.92494433055322656,-1.3020000457763672,0 +coef_non_family_hh_category1,-0.25,-0.25,-0.25,0 +coef_non_family_hh_category2,0.49350779245951959,0.49350779245352627,-0.17919999361038208,0 +coef_non_student_goes_to_school,3.8829998970031738,3.8829998970031738,3.8829998970031738,0 +coef_num_non_workers_in_hh_school1,0.25740000605583191,0.25740000605583191,0.25740000605583191,0 +coef_num_preschool_in_hh_school1,-0.13349999487400055,-0.13349999487400055,-0.13349999487400055,0 +coef_num_preschool_in_hh_school2,0.73590985242441875,0.73590985242576534,-0.55769997835159302,0 +coef_num_preschool_in_hh_work1,-1.6486490740351119,-1.6486490740275117,0.21909999847412109,0 +coef_num_preschool_in_hh_work2,0.24670839988109913,0.2467083998803998,-0.14779999852180481,0 +coef_num_preschool_in_hh_work_and_school,-2.4290259678800297,-2.4290259678663575,-0.12510000169277191,0 +coef_num_under_16_not_at_school_school2,-0.91329132598172835,-0.9132913259601626,0.08659999817609787,0 +coef_num_under_16_not_at_school_work2,-0.11459202927007101,-0.11459202927135456,0.18039999902248383,0 +coef_num_under_16_not_at_school_work_and_school,-2.3336601463508013,-2.3336601463331874,-0.19550000131130219,0 +coef_pre_driving_age_child_school2_asc,-2.6428722793019959,-2.6428722793097204,-3.9702999591827393,0 +coef_pt_worker_work2_asc,-3.0303892540032376,-3.0303892539968387,-3.0476000308990479,0 +coef_round_trip_auto_time_to_work_school2,0.064069158794420475,0.064069158793510952,-0.0034000000450760126,0 +coef_round_trip_auto_time_to_work_work2,-0.020202184952509333,-0.020202184952801051,-0.0035000001080334187,0 +coef_round_trip_auto_time_to_work_work_and_school,-0.015315391311272412,-0.015315391311409078,-0.0031000000890344381,0 +coef_student_employed,4.6032016663231561,4.6032016663032218,3.0139999389648438,0 +coef_unavailable,-999,-999,-999,0 +coef_under_35_school1,0.72180002927780151,0.72180002927780151,0.72180002927780151,0 +coef_under_35_school2,2.1398332789937333,2.1398332789898835,1.2749999761581421,0 +coef_under_35_work1,1.1194222799903866,1.1194222799688391,-0.46290001273155212,0 +coef_under_35_work2,-0.24674628169467161,-0.24674628168879748,-0.13750000298023224,0 +coef_under_35_work_and_school,2.7433316694686765,2.7433316694426049,0.97610002756118774,0 +coef_univ_school2_asc,-4.9155139535095262,-4.9155139534987793,-3.7428998947143555,0 +coef_univ_work1_asc,2.797738568613517,2.7977385685999896,2.1659998893737793,0 +coef_univ_work2_asc,-0.45572969467386271,-0.45572969467880964,-1.3964999914169312,0 +coef_univ_work_and_school_asc,0.16534045072359432,0.16534045072771017,0.10729999840259552,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_loglike.csv index f22660c1e..a593ed154 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_mandatory_tour_frequency_SLSQP_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-434.77803538920688,-410.22015020484497 +0,-434.77803587138652,-412.67417109099858 diff --git a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_trip_mode_choice_SLSQP_.csv b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_trip_mode_choice_SLSQP_.csv index 706cb99d1..a54d7e8e1 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_trip_mode_choice_SLSQP_.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_simple_simulate_trip_mode_choice_SLSQP_.csv @@ -1,273 +1,273 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -coef_age010_trn,0.36055093747501515,0,0,,,0.36055093747501515 -coef_age1619_da,0.34452990003908374,0,0,,,0.34452990003908374 -coef_age16p_sr,-0.15188561974324261,0,0,,,-0.15188561974324261 -coef_bike_ASC_rh,-7,-7,0,-7,-7,-7 -coef_bike_ASC_walk_work,-2.6591723273807126,-1.8332999999999999,0,,,-2.6591723273807126 -coef_drive_transit_ASC_commuter_work,0.42650515313601794,0.4012,0,,,0.42650515313601794 -coef_drive_transit_ASC_express_work,-0.35539999999999999,-0.35539999999999999,0,,,-0.35539999999999999 -coef_drive_transit_ASC_ferry_work,0.52769999999999995,0.52769999999999995,0,,,0.52769999999999995 -coef_drive_transit_ASC_heavyrail_work,-11.994127899898398,0.3538,0,,,-11.994127899898398 -coef_drive_transit_ASC_lightrail_work,-10.300240827222716,0.46210000000000001,0,,,-10.300240827222716 -coef_drive_transit_ASC_rh,-162.17158272141376,-4.25,0,,,-162.17158272141376 -coef_hhsize1_sr,-0.89092943199297148,-0.73460000000000003,0,,,-0.89092943199297148 -coef_hhsize2_sr,0.039652734237525036,0,0,,,0.039652734237525036 -coef_ivt_work,-0.010154908820341358,-0.021999999999999999,0,,,-0.010154908820341358 -coef_joint_auto_ASC_rh_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_auto_ASC_walk_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_bike_ASC_rh_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_bike_ASC_walk_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_ride_hail_ASC_tnc_shared,0,0,0,,,0 -coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_ride_hail_ASC_walk_transit,0,0,0,,,0 -coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_ASC_rh_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,,,0 -coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork,0,0,0,,,0 -coef_nest_AUTO,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_AUTO_DRIVEALONE,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_AUTO_SHAREDRIDE2,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_AUTO_SHAREDRIDE3,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_NONMOTORIZED,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_RIDEHAIL,0.35999999999999999,0.35999999999999999,1,0.35999999999999999,0.35999999999999999,0.35999999999999999 -coef_nest_TRANSIT,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_TRANSIT_DRIVEACCESS,0.5,0.5,1,0.5,0.5,0.5 -coef_nest_TRANSIT_WALKACCESS,0.5,0.5,1,0.5,0.5,0.5 -coef_ride_hail_ASC_sr2_work,-24.964152977906629,-6.1079999999999997,0,,,-24.964152977906629 -coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork,-29.66185425032911,-7,0,,,-29.66185425032911 -coef_ride_hail_ASC_taxi_work,-2.5195664524629127,-2.3849999999999998,0,,,-2.5195664524629127 -coef_ride_hail_ASC_tnc_shared,23.268241084943003,0,0,,,23.268241084943003 -coef_ride_hail_ASC_tnc_single_work,23.984210218237873,0.73499999999999999,0,,,23.984210218237873 -coef_ride_hail_ASC_walk_transit,22.114586690634976,0,0,,,22.114586690634976 -coef_ride_hail_ASC_walk_work,21.771187507152565,0.2858,0,,,21.771187507152565 -coef_sov_ASC_rh_work_atwork,-7,-7,0,-7,-7,-7 -coef_sov_ASC_sr2_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork,-999,-999,0,-999,-999,-999 -coef_sov_ASC_sr3p_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork,-999,-999,0,-999,-999,-999 -coef_sov_ASC_walk_work,-3.007257338441883,-0.83979999999999999,0,,,-3.007257338441883 -coef_sr2_ASC_rh_work_school_escort_shopping_eatout_othmaint_social_othdiscr_atwork,-7,-7,0,-7,-7,-7 -coef_sr2_ASC_sr2_work,0.19745747776996045,0.0149,0,,,0.19745747776996045 -coef_sr2_ASC_sr3p,-999,-999,0,-999,-999,-999 -coef_sr2_ASC_walk_work,-2.2229353369557856,0.126,0,,,-2.2229353369557856 -coef_sr3p_ASC_rh_work,-71.917699999999996,-71.917699999999996,0,,,-71.917699999999996 -coef_sr3p_ASC_sr2_work,-0.95395070192885023,-1.1956,0,,,-0.95395070192885023 -coef_sr3p_ASC_sr3p_work,0.0022823628108995749,-0.18360000000000001,0,,,0.0022823628108995749 -coef_sr3p_ASC_walk_work,-2.3566238207046379,0.21709999999999999,0,,,-2.3566238207046379 -coef_walk_ASC_rh,-7,-7,0,-7,-7,-7 -coef_walk_transit_ASC_commuter_work,0.4012,0.4012,0,,,0.4012 -coef_walk_transit_ASC_express_work,-0.35539999999999999,-0.35539999999999999,0,,,-0.35539999999999999 -coef_walk_transit_ASC_ferry_work,0.52769999999999995,0.52769999999999995,0,,,0.52769999999999995 -coef_walk_transit_ASC_heavyrail_work,0.50253917060490561,0.3538,0,,,0.50253917060490561 -coef_walk_transit_ASC_lightrail_work,0.63259254210688642,0.46210000000000001,0,,,0.63259254210688642 -coef_walk_transit_ASC_rh_work,-2.8695420596058572,-3.7408000000000001,0,,,-2.8695420596058572 -coef_walk_transit_ASC_sr2_work,-2.2566861984974196,-3.6631,0,,,-2.2566861984974196 -coef_walk_transit_ASC_sr3p_work,-2.6534480546215211,-4.1314000000000002,0,,,-2.6534480546215211 -coef_walk_transit_ASC_walk_work,-0.39143818330516583,0.44319999999999998,0,,,-0.39143818330516583 -coef_bike_ASC_walk_univ,-0.33989999999999998,-0.33989999999999998,0,,,-0.33989999999999998 -coef_drive_transit_ASC_commuter_univ_school,0.90820000000000001,0.90820000000000001,0,,,0.90820000000000001 -coef_drive_transit_ASC_express_univ_school,0.32240000000000002,0.32240000000000002,0,,,0.32240000000000002 -coef_drive_transit_ASC_ferry_univ_school,1.7237,1.7237,0,,,1.7237 -coef_drive_transit_ASC_heavyrail_univ_school,0.84899999999999998,0.84899999999999998,0,,,0.84899999999999998 -coef_drive_transit_ASC_lightrail_univ_school,1.4436,1.4436,0,,,1.4436 -coef_ivt_univ_school,-0.0082670637836597533,-0.027099999999999999,0,,,-0.0082670637836597533 -coef_ride_hail_ASC_sr2_univ,-4.3372000000000002,-4.3372000000000002,0,,,-4.3372000000000002 -coef_ride_hail_ASC_sr3p_univ,-4.9219999999999997,-4.9219999999999997,0,,,-4.9219999999999997 -coef_ride_hail_ASC_taxi_univ,-1.5993999999999999,-1.5993999999999999,0,,,-1.5993999999999999 -coef_ride_hail_ASC_tnc_single_univ,0.1081,0.1081,0,,,0.1081 -coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint,-26.322181448888141,-7,0,,,-26.322181448888141 -coef_sov_ASC_rh_univ,-6.649,-6.649,0,,,-6.649 -coef_sov_ASC_walk_univ,-1.0579000000000001,-1.0579000000000001,0,,,-1.0579000000000001 -coef_sr2_ASC_rh_univ,-6.6897000000000002,-6.6897000000000002,0,,,-6.6897000000000002 -coef_sr2_ASC_sr2_univ,0.4304,0.4304,0,,,0.4304 -coef_sr2_ASC_walk_univ,1.3041,1.3041,0,,,1.3041 -coef_sr3p_ASC_rh_univ_escort_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,-7,-7,-7 -coef_sr3p_ASC_sr2_univ,-0.31169999999999998,-0.31169999999999998,0,,,-0.31169999999999998 -coef_sr3p_ASC_sr3p_univ,0.62929999999999997,0.62929999999999997,0,,,0.62929999999999997 -coef_sr3p_ASC_walk_univ,1.6793,1.6793,0,,,1.6793 -coef_walk_transit_ASC_commuter_univ_school,0.90820000000000001,0.90820000000000001,0,,,0.90820000000000001 -coef_walk_transit_ASC_express_univ_school,0.32240000000000002,0.32240000000000002,0,,,0.32240000000000002 -coef_walk_transit_ASC_ferry_univ_school,1.7237,1.7237,0,,,1.7237 -coef_walk_transit_ASC_heavyrail_univ_school,0.86656489716508533,0.84899999999999998,0,,,0.86656489716508533 -coef_walk_transit_ASC_lightrail_univ_school,1.5673078514811689,1.4436,0,,,1.5673078514811689 -coef_walk_transit_ASC_rh_univ,-4.2690999999999999,-4.2690999999999999,0,,,-4.2690999999999999 -coef_walk_transit_ASC_sr2_univ,-4.0049999999999999,-4.0049999999999999,0,,,-4.0049999999999999 -coef_walk_transit_ASC_sr3p_univ,-28.697199999999999,-28.697199999999999,0,,,-28.697199999999999 -coef_walk_transit_ASC_walk_univ,-1.0310999999999999,-1.0310999999999999,0,,,-1.0310999999999999 -coef_bike_ASC_walk_school,-106.06311357570786,-2.0331999999999999,0,,,-106.06311357570786 -coef_ride_hail_ASC_sr2_school,-17.561865296747161,-1.5869,0,,,-17.561865296747161 -coef_ride_hail_ASC_sr3p_school,-17.869354547202143,-2.5362,0,,,-17.869354547202143 -coef_ride_hail_ASC_taxi_school,-1.6385208722849591,-0.58689999999999998,0,,,-1.6385208722849591 -coef_ride_hail_ASC_tnc_single_school,23.693954665409134,0.3201,0,,,23.693954665409134 -coef_ride_hail_ASC_walk_school,-17.881587989266929,0.245,0,,,-17.881587989266929 -coef_sov_ASC_rh_school,-126.45615738910647,-5.6548999999999996,0,,,-126.45615738910647 -coef_sov_ASC_walk_school,-3.1154322443821076,-71.8977,0,,,-3.1154322443821076 -coef_sr2_ASC_sr2_school,-0.54053965419989403,-1.9335,0,,,-0.54053965419989403 -coef_sr2_ASC_walk_school,-2.0412093694429427,-1.0362,0,,,-2.0412093694429427 -coef_sr3p_ASC_rh_school,-167.92322922478724,-6.6714000000000002,0,,,-167.92322922478724 -coef_sr3p_ASC_sr2_school,-1.0175286592825254,-2.7406999999999999,0,,,-1.0175286592825254 -coef_sr3p_ASC_sr3p_school,0.19312416588689055,-1.7718,0,,,0.19312416588689055 -coef_sr3p_ASC_walk_school,-2.4447403802047534,-1.2126999999999999,0,,,-2.4447403802047534 -coef_walk_transit_ASC_rh_school,-4.3619869330314502,-7,0,,,-4.3619869330314502 -coef_walk_transit_ASC_sr2_school,-2.270274862864051,-4.2961,0,,,-2.270274862864051 -coef_walk_transit_ASC_sr3p_school,-2.4067383334703436,-3.8664999999999998,0,,,-2.4067383334703436 -coef_walk_transit_ASC_walk_school,-1.4950397618009084,-1.1828000000000001,0,,,-1.4950397618009084 -coef_bike_ASC_walk_escort,-13.520327232125497,-13.520300000000001,0,,,-13.520327232125497 -coef_drive_transit_ASC_commuter_escort,0.54420000000000002,0.54420000000000002,0,,,0.54420000000000002 -coef_drive_transit_ASC_express_escort,0.75470000000000004,0.75470000000000004,0,,,0.75470000000000004 -coef_drive_transit_ASC_ferry_escort,0.60050000000000003,0.60050000000000003,0,,,0.60050000000000003 -coef_drive_transit_ASC_heavyrail_escort,-14.234170107485145,0.56730000000000003,0,,,-14.234170107485145 -coef_drive_transit_ASC_lightrail_escort,0.5252,0.5252,0,,,0.5252 -coef_ivt_escort_shopping_eatout_othdiscr_atwork,-0.011935317751590301,-0.027900000000000001,0,,,-0.011935317751590301 -coef_ride_hail_ASC_sr2_escort_shopping_othmaint,-23.87393437250816,-5.6482999999999999,0,,,-23.87393437250816 -coef_ride_hail_ASC_taxi_escort_shopping_othmaint,-3.6645734090143596,-3.6629,0,,,-3.6645734090143596 -coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint,24.219922267784732,0.78790000000000004,0,,,24.219922267784732 -coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr,0,0,0,0,0,0 -coef_sov_ASC_sr2_escort,0,0,0,0,0,0 -coef_sov_ASC_sr3p_escort,0,0,0,0,0,0 -coef_sov_ASC_walk_escort,0,0,0,0,0,0 -coef_sr2_ASC_sr2_escort,0.48842589140865728,0.3533,0,,,0.48842589140865728 -coef_sr2_ASC_walk_escort,-25.486556155436141,-2.0528,0,,,-25.486556155436141 -coef_sr3p_ASC_sr2_escort,-0.20651374838779549,-0.26819999999999999,0,,,-0.20651374838779549 -coef_sr3p_ASC_sr3p_escort,0.89578731133543399,0.73580000000000001,0,,,0.89578731133543399 -coef_sr3p_ASC_walk_escort,-3.4160479693862773,-1.0075000000000001,0,,,-3.4160479693862773 -coef_walk_transit_ASC_commuter_escort,0.54420000000000002,0.54420000000000002,0,,,0.54420000000000002 -coef_walk_transit_ASC_express_escort,0.75470000000000004,0.75470000000000004,0,,,0.75470000000000004 -coef_walk_transit_ASC_ferry_escort,0.60050000000000003,0.60050000000000003,0,,,0.60050000000000003 -coef_walk_transit_ASC_heavyrail_escort,0.85028037339339679,0.56730000000000003,0,,,0.85028037339339679 -coef_walk_transit_ASC_lightrail_escort,1.12520509210183,0.5252,0,,,1.12520509210183 -coef_walk_transit_ASC_rh_escort_shopping_othmaint,-2.3595754865729988,-3.1135999999999999,0,,,-2.3595754865729988 -coef_walk_transit_ASC_sr2_escort,-1.0205990135822081,-2.6284000000000001,0,,,-1.0205990135822081 -coef_walk_transit_ASC_sr3p_escort,-184.69692639910483,-3.2073999999999998,0,,,-184.69692639910483 -coef_walk_transit_ASC_walk_escort,-88.120508523406016,-0.99739999999999995,0,,,-88.120508523406016 -coef_bike_ASC_walk_shopping,-23.156539428413335,-1.0245,0,,,-23.156539428413335 -coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork,0.51290000000000002,0.51290000000000002,0,,,0.51290000000000002 -coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork,0.66479999999999995,0.66479999999999995,0,,,0.66479999999999995 -coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork,0.64659999999999995,0.64659999999999995,0,,,0.64659999999999995 -coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.5403,0.5403,0,,,0.5403 -coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.53920000000000001,0.53920000000000001,0,,,0.53920000000000001 -coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,,,-7 -coef_joint_auto_ASC_sr2_shopping,2.7753435280365912,0.58750000000000002,0,,,2.7753435280365912 -coef_joint_auto_ASC_sr3p_shopping,-19.06434075519855,-19.045400000000001,0,,,-19.06434075519855 -coef_joint_auto_ASC_walk_shopping,-23.468835890078797,-23.468800000000002,0,,,-23.468835890078797 -coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-12.3057,-12.3057,0,,,-12.3057 -coef_joint_bike_ASC_walk_shopping,-7.0476000000000001,-7.0476000000000001,0,,,-7.0476000000000001 -coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr,0.51290000000000002,0.51290000000000002,0,,,0.51290000000000002 -coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr,0.66479999999999995,0.66479999999999995,0,,,0.66479999999999995 -coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr,0.64659999999999995,0.64659999999999995,0,,,0.64659999999999995 -coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr,0.5403,0.5403,0,,,0.5403 -coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr,0.53920000000000001,0.53920000000000001,0,,,0.53920000000000001 -coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr,4.6138000000000003,4.6138000000000003,0,,,4.6138000000000003 -coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,,,-7 -coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,,,-7 -coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,,,-7 -coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr,-4.7339000000000002,-4.7339000000000002,0,,,-4.7339000000000002 -coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr,-7,-7,0,,,-7 -coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-3.0362,-3.0362,0,,,-3.0362 -coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr,0.51290000000000002,0.51290000000000002,0,,,0.51290000000000002 -coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr,0.66479999999999995,0.66479999999999995,0,,,0.66479999999999995 -coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr,0.64659999999999995,0.64659999999999995,0,,,0.64659999999999995 -coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr,21.596514314322803,0.5403,0,,,21.596514314322803 -coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr,0.92447712850041863,0.53920000000000001,0,,,0.92447712850041863 -coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr,3.132294016909416,1.2265999999999999,0,,,3.132294016909416 -coef_joint_walk_transit_ASC_sr2_shopping,-21.576802070713498,-21.576799999999999,0,,,-21.576802070713498 -coef_joint_walk_transit_ASC_sr3p_shopping,-25.595300009753458,-25.595300000000002,0,,,-25.595300009753458 -coef_joint_walk_transit_ASC_walk_shopping,-101.70152139850924,-0.54720000000000002,0,,,-101.70152139850924 -coef_sov_ASC_walk_shopping,-3.7867423367407271,-1.4765999999999999,0,,,-3.7867423367407271 -coef_sr2_ASC_sr2_shopping,1.7463545613015568,1.3765000000000001,0,,,1.7463545613015568 -coef_sr2_ASC_walk_shopping,-3.6530756986244408,-0.11169999999999999,0,,,-3.6530756986244408 -coef_sr3p_ASC_sr2_shopping,0.33630630204547912,-0.078100000000000003,0,,,0.33630630204547912 -coef_sr3p_ASC_sr3p_shopping,1.6427397418976948,1.3394999999999999,0,,,1.6427397418976948 -coef_sr3p_ASC_walk_shopping,-3.9191286556878429,-0.50790000000000002,0,,,-3.9191286556878429 -coef_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork,0.51290000000000002,0.51290000000000002,0,,,0.51290000000000002 -coef_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork,0.66479999999999995,0.66479999999999995,0,,,0.66479999999999995 -coef_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork,0.64659999999999995,0.64659999999999995,0,,,0.64659999999999995 -coef_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.92621641961993106,0.5403,0,,,0.92621641961993106 -coef_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.83136133693868486,0.53920000000000001,0,,,0.83136133693868486 -coef_walk_transit_ASC_sr2_shopping,-2.1233168743409747,-4.0114999999999998,0,,,-2.1233168743409747 -coef_walk_transit_ASC_sr3p_shopping,-91.093530857559287,-4.3852000000000002,0,,,-91.093530857559287 -coef_walk_transit_ASC_walk_shopping,-0.81350805532373194,-0.1943,0,,,-0.81350805532373194 -coef_bike_ASC_walk_eatout,-174.81611515878677,-2.6989999999999998,0,,,-174.81611515878677 -coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr,0.38104442976260161,-0.063399999999999998,0,,,0.38104442976260161 -coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr,0.38908646769235944,-0.16250000000000001,0,,,0.38908646769235944 -coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr,-4.3794314087625494,-0.71440000000000003,0,,,-4.3794314087625494 -coef_joint_bike_ASC_walk_eatout,-15.5588,-15.5588,0,,,-15.5588 -coef_joint_walk_transit_ASC_sr2_eatout,-14.914319758236871,-14.913399999999999,0,,,-14.914319758236871 -coef_joint_walk_transit_ASC_sr3p_eatout,-16.758772307649721,-16.758700000000001,0,,,-16.758772307649721 -coef_joint_walk_transit_ASC_walk_eatout,1.1018580418672292,2.3016999999999999,0,,,1.1018580418672292 -coef_ride_hail_ASC_sr2_eatout_social_othdiscr,-16.851845961332685,-5.9691999999999998,0,,,-16.851845961332685 -coef_ride_hail_ASC_sr3p_eatout_social_othdiscr,-11.873288203497911,-6.7199,0,,,-11.873288203497911 -coef_ride_hail_ASC_taxi_eatout_social_othdiscr,-2.5632427324461902,-2.5543,0,,,-2.5632427324461902 -coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr,23.995880104391915,0.82740000000000002,0,,,23.995880104391915 -coef_ride_hail_ASC_walk_eatout_social_othdiscr,-17.718714023749605,-3.3603000000000001,0,,,-17.718714023749605 -coef_sov_ASC_walk_eatout,-2.6337956057242367,-1.3443000000000001,0,,,-2.6337956057242367 -coef_sr2_ASC_sr2_eatout,1.1016400029858922,0.99709999999999999,0,,,1.1016400029858922 -coef_sr2_ASC_walk_eatout,-4.5471769897543872,-0.072900000000000006,0,,,-4.5471769897543872 -coef_sr3p_ASC_sr2_eatout,-0.21320006188848084,-0.31780000000000003,0,,,-0.21320006188848084 -coef_sr3p_ASC_sr3p_eatout,1.474080431715626,1.3323,0,,,1.474080431715626 -coef_sr3p_ASC_walk_eatout,-2.5082484326697068,-0.043400000000000001,0,,,-2.5082484326697068 -coef_walk_transit_ASC_rh_eatout_social_othdiscr,-2.6584911065153216,-4.7507999999999999,0,,,-2.6584911065153216 -coef_walk_transit_ASC_sr2_eatout,-2.0069285824622241,-3.1434000000000002,0,,,-2.0069285824622241 -coef_walk_transit_ASC_sr3p_eatout,-2.5231634577013793,-3.8519999999999999,0,,,-2.5231634577013793 -coef_walk_transit_ASC_walk_eatout,0.16642876905750803,1.3504,0,,,0.16642876905750803 -coef_bike_ASC_walk_othmaint,-0.784009151847747,-0.5706,0,,,-0.784009151847747 -coef_ivt_othmaint_social,-0.012116004199731105,-0.017500000000000002,0,,,-0.012116004199731105 -coef_joint_bike_ASC_walk_othmaint,-13.5192,-13.5192,0,,,-13.5192 -coef_joint_walk_transit_ASC_sr2_othmaint,-11.323061152682898,-5.3230000000000004,0,,,-11.323061152682898 -coef_joint_walk_transit_ASC_sr3p_othmaint,-44.010114035526179,-3.9563000000000001,0,,,-44.010114035526179 -coef_joint_walk_transit_ASC_walk_othmaint,-73.569639938685185,1.1876,0,,,-73.569639938685185 -coef_sov_ASC_walk_othmaint,-4.4263069274933464,-1.2992999999999999,0,,,-4.4263069274933464 -coef_sr2_ASC_sr2_othmaint,0.93483638812856495,0.85740000000000005,0,,,0.93483638812856495 -coef_sr2_ASC_walk_othmaint,-3.1386920238871761,-0.59889999999999999,0,,,-3.1386920238871761 -coef_sr3p_ASC_sr2_othmaint,0.042063533996837946,-0.29580000000000001,0,,,0.042063533996837946 -coef_sr3p_ASC_sr3p_othmaint,1.1283362600967743,0.95269999999999999,0,,,1.1283362600967743 -coef_sr3p_ASC_walk_othmaint,-5.0664087819757082,0.042200000000000001,0,,,-5.0664087819757082 -coef_walk_transit_ASC_sr2_othmaint,-34.674600000130781,-34.674599999999998,0,,,-34.674600000130781 -coef_walk_transit_ASC_sr3p_othmaint,-29.385800207697873,-29.3858,0,,,-29.385800207697873 -coef_walk_transit_ASC_walk_othmaint,-0.28811698789154394,0.7248,0,,,-0.28811698789154394 -coef_bike_ASC_walk_social,-13.240952180972661,-13.2384,0,,,-13.240952180972661 -coef_joint_bike_ASC_walk_social,-26.171399999999998,-26.171399999999998,0,,,-26.171399999999998 -coef_joint_walk_transit_ASC_sr2_social,-20.502199999999998,-20.502199999999998,0,,,-20.502199999999998 -coef_joint_walk_transit_ASC_sr3p_social,-34.7378,-34.7378,0,,,-34.7378 -coef_joint_walk_transit_ASC_walk_social,-2.3852136661883132,-2.1301000000000001,0,,,-2.3852136661883132 -coef_sov_ASC_walk_social,-25.269332635237305,-1.8077000000000001,0,,,-25.269332635237305 -coef_sr2_ASC_sr2_social,0.76826858270381293,0.56630000000000003,0,,,0.76826858270381293 -coef_sr2_ASC_walk_social,-2.8506566329280796,-0.79320000000000002,0,,,-2.8506566329280796 -coef_sr3p_ASC_sr2_social,-0.12234716443959485,-0.15559999999999999,0,,,-0.12234716443959485 -coef_sr3p_ASC_sr3p_social,1.2106868400711996,0.83309999999999995,0,,,1.2106868400711996 -coef_sr3p_ASC_walk_social,-3.0801131342084651,-0.31340000000000001,0,,,-3.0801131342084651 -coef_walk_transit_ASC_sr2_social,-2.0645343270844863,-3.3662999999999998,0,,,-2.0645343270844863 -coef_walk_transit_ASC_sr3p_social,-21.63090014868768,-21.6309,0,,,-21.63090014868768 -coef_walk_transit_ASC_walk_social,-2.3146041098832506,-0.7651,0,,,-2.3146041098832506 -coef_bike_ASC_walk_othdiscr,-1.3971872234012017,-1.3576999999999999,0,,,-1.3971872234012017 -coef_joint_bike_ASC_walk_othdiscr,-14.444000000000001,-14.444000000000001,0,,,-14.444000000000001 -coef_joint_walk_transit_ASC_sr2_othdiscr,-14.9801,-14.9801,0,,,-14.9801 -coef_joint_walk_transit_ASC_sr3p_othdiscr,-16.735567652638597,-16.735399999999998,0,,,-16.735567652638597 -coef_joint_walk_transit_ASC_walk_othdiscr,-25.948044836941285,-0.0023999999999999998,0,,,-25.948044836941285 -coef_sov_ASC_walk_othdiscr,-4.9397828512902819,-1.5507,0,,,-4.9397828512902819 -coef_sr2_ASC_sr2_othdiscr,0.85570357875378389,0.74780000000000002,0,,,0.85570357875378389 -coef_sr2_ASC_walk_othdiscr,-2.4704700572535603,-0.026800000000000001,0,,,-2.4704700572535603 -coef_sr3p_ASC_sr2_othdiscr,-0.41762969659077742,-0.61419999999999997,0,,,-0.41762969659077742 -coef_sr3p_ASC_sr3p_othdiscr,0.84494437659483101,0.73980000000000001,0,,,0.84494437659483101 -coef_sr3p_ASC_walk_othdiscr,-5.841028145506157,-0.5272,0,,,-5.841028145506157 -coef_walk_transit_ASC_sr2_othdiscr,-1.2322243797539427,-2.7589999999999999,0,,,-1.2322243797539427 -coef_walk_transit_ASC_sr3p_othdiscr,-1.1992638422488842,-2.5125999999999999,0,,,-1.1992638422488842 -coef_walk_transit_ASC_walk_othdiscr,-0.98049723049553139,-0.49969999999999998,0,,,-0.98049723049553139 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_age010_trn,0.35767627741145724,0.35767627741145724,0,0 +coef_age1619_da,0.34333578772407369,0.34333578772407369,0,0 +coef_age16p_sr,-0.14184142530409971,-0.14184142530409971,0,0 +coef_bike_ASC_rh,-7,-7,-7,0 +coef_bike_ASC_walk_eatout,-4.6307472236220351,-4.6307472236220351,-2.6989999999999998,0 +coef_bike_ASC_walk_escort,-13.520300035676909,-13.520300035676909,-13.520300000000001,0 +coef_bike_ASC_walk_othdiscr,-1.3990818215431378,-1.3990818215431378,-1.3576999999999999,0 +coef_bike_ASC_walk_othmaint,-0.7890931685689252,-0.7890931685689252,-0.5706,0 +coef_bike_ASC_walk_school,-4.9873103152859581,-4.9873103152859581,-2.0331999999999999,0 +coef_bike_ASC_walk_shopping,-11.171180371928761,-11.171180371928761,-1.0245,0 +coef_bike_ASC_walk_social,-13.238403309075121,-13.238403309075121,-13.2384,0 +coef_bike_ASC_walk_univ,-0.33989999999999998,-0.33989999999999998,-0.33989999999999998,0 +coef_bike_ASC_walk_work,-2.662073727736936,-2.662073727736936,-1.8332999999999999,0 +coef_drive_transit_ASC_commuter_escort,0.54420000000000002,0.54420000000000002,0.54420000000000002,0 +coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork,0.51290000000000002,0.51290000000000002,0.51290000000000002,0 +coef_drive_transit_ASC_commuter_univ_school,0.90820000000000001,0.90820000000000001,0.90820000000000001,0 +coef_drive_transit_ASC_commuter_work,0.42637620615946842,0.42637620615946842,0.4012,0 +coef_drive_transit_ASC_express_escort,0.75470000000000004,0.75470000000000004,0.75470000000000004,0 +coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork,0.66479999999999995,0.66479999999999995,0.66479999999999995,0 +coef_drive_transit_ASC_express_univ_school,0.32240000000000002,0.32240000000000002,0.32240000000000002,0 +coef_drive_transit_ASC_express_work,-0.35539999999999999,-0.35539999999999999,-0.35539999999999999,0 +coef_drive_transit_ASC_ferry_escort,0.60050000000000003,0.60050000000000003,0.60050000000000003,0 +coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork,0.64659999999999995,0.64659999999999995,0.64659999999999995,0 +coef_drive_transit_ASC_ferry_univ_school,1.7237,1.7237,1.7237,0 +coef_drive_transit_ASC_ferry_work,0.52769999999999995,0.52769999999999995,0.52769999999999995,0 +coef_drive_transit_ASC_heavyrail_escort,-9.989800530770955,-9.989800530770955,0.56730000000000003,0 +coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.5403,0.5403,0.5403,0 +coef_drive_transit_ASC_heavyrail_univ_school,0.84899999999999998,0.84899999999999998,0.84899999999999998,0 +coef_drive_transit_ASC_heavyrail_work,-8.7062475359294247,-8.7062475359294247,0.3538,0 +coef_drive_transit_ASC_lightrail_escort,0.5252,0.5252,0.5252,0 +coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.53920000000000001,0.53920000000000001,0.53920000000000001,0 +coef_drive_transit_ASC_lightrail_univ_school,1.4436,1.4436,1.4436,0 +coef_drive_transit_ASC_lightrail_work,-7.4071143692385562,-7.4071143692385562,0.46210000000000001,0 +coef_drive_transit_ASC_rh,-8.0109041770487206,-8.0109041770487206,-4.25,0 +coef_hhsize1_sr,-0.89082809363303117,-0.89082809363303117,-0.73460000000000003,0 +coef_hhsize2_sr,0.039673604461434211,0.039673604461434211,0,0 +coef_ivt_escort_shopping_eatout_othdiscr_atwork,-0.011939751587626005,-0.011939751587626005,-0.027900000000000001,0 +coef_ivt_othmaint_social,-0.012113122493485196,-0.012113122493485196,-0.017500000000000002,0 +coef_ivt_univ_school,-0.0082684909559910397,-0.0082684909559910397,-0.027099999999999999,0 +coef_ivt_work,-0.010154800227496609,-0.010154800227496609,-0.021999999999999999,0 +coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_joint_auto_ASC_rh_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr,0.37182968511460945,0.37182968511460945,-0.063399999999999998,0 +coef_joint_auto_ASC_sr2_shopping,2.7630522022711443,2.7630522022711443,0.58750000000000002,0 +coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr,0.37976650225041186,0.37976650225041186,-0.16250000000000001,0 +coef_joint_auto_ASC_sr3p_shopping,-19.04542622913733,-19.04542622913733,-19.045400000000001,0 +coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr,-4.375671164481866,-4.375671164481866,-0.71440000000000003,0 +coef_joint_auto_ASC_walk_shopping,-23.468800060392848,-23.468800060392848,-23.468800000000002,0 +coef_joint_auto_ASC_walk_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-12.3057,-12.3057,-12.3057,0 +coef_joint_bike_ASC_rh_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_bike_ASC_walk_eatout,-15.5588,-15.5588,-15.5588,0 +coef_joint_bike_ASC_walk_othdiscr,-14.444000000000001,-14.444000000000001,-14.444000000000001,0 +coef_joint_bike_ASC_walk_othmaint,-13.5192,-13.5192,-13.5192,0 +coef_joint_bike_ASC_walk_shopping,-7.0476000000000001,-7.0476000000000001,-7.0476000000000001,0 +coef_joint_bike_ASC_walk_social,-26.171399999999998,-26.171399999999998,-26.171399999999998,0 +coef_joint_bike_ASC_walk_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr,0.51290000000000002,0.51290000000000002,0.51290000000000002,0 +coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr,0.66479999999999995,0.66479999999999995,0.66479999999999995,0 +coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr,0.64659999999999995,0.64659999999999995,0.64659999999999995,0 +coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr,0.5403,0.5403,0.5403,0 +coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr,0.53920000000000001,0.53920000000000001,0.53920000000000001,0 +coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr,4.6138000000000003,4.6138000000000003,4.6138000000000003,0 +coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_ride_hail_ASC_tnc_shared,0,0,0,0 +coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr,-4.7339000000000002,-4.7339000000000002,-4.7339000000000002,0 +coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_joint_ride_hail_ASC_walk_transit,0,0,0,0 +coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr,-3.0362,-3.0362,-3.0362,0 +coef_joint_walk_ASC_rh_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr,0.51290000000000002,0.51290000000000002,0.51290000000000002,0 +coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr,0.66479999999999995,0.66479999999999995,0.66479999999999995,0 +coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr,0.64659999999999995,0.64659999999999995,0.64659999999999995,0 +coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr,13.389850481098479,13.389850481098479,0.5403,0 +coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr,0.98274193315609293,0.98274193315609293,0.53920000000000001,0 +coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr,3.183325294252882,3.183325294252882,1.2265999999999999,0 +coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_sr2_eatout,-14.913401266030013,-14.913401266030013,-14.913399999999999,0 +coef_joint_walk_transit_ASC_sr2_othdiscr,-14.9801,-14.9801,-14.9801,0 +coef_joint_walk_transit_ASC_sr2_othmaint,-5.3309700517325718,-5.3309700517325718,-5.3230000000000004,0 +coef_joint_walk_transit_ASC_sr2_shopping,-21.576800002987216,-21.576800002987216,-21.576799999999999,0 +coef_joint_walk_transit_ASC_sr2_social,-20.502199999999998,-20.502199999999998,-20.502199999999998,0 +coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_sr3p_eatout,-16.758700099536259,-16.758700099536259,-16.758700000000001,0 +coef_joint_walk_transit_ASC_sr3p_othdiscr,-16.735400264288284,-16.735400264288284,-16.735399999999998,0 +coef_joint_walk_transit_ASC_sr3p_othmaint,-4.0140180305790336,-4.0140180305790336,-3.9563000000000001,0 +coef_joint_walk_transit_ASC_sr3p_shopping,-25.595300000014014,-25.595300000014014,-25.595300000000002,0 +coef_joint_walk_transit_ASC_sr3p_social,-34.7378,-34.7378,-34.7378,0 +coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork,0,0,0,0 +coef_joint_walk_transit_ASC_walk_eatout,1.1571199957158329,1.1571199957158329,2.3016999999999999,0 +coef_joint_walk_transit_ASC_walk_othdiscr,-0.043211155305850707,-0.043211155305850707,-0.0023999999999999998,0 +coef_joint_walk_transit_ASC_walk_othmaint,-5.4736104658626115,-5.4736104658626115,1.1876,0 +coef_joint_walk_transit_ASC_walk_shopping,-5.9428639820608167,-5.9428639820608167,-0.54720000000000002,0 +coef_joint_walk_transit_ASC_walk_social,-2.2714573374616625,-2.2714573374616625,-2.1301000000000001,0 +coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork,0,0,0,0 +coef_nest_AUTO,0.71999999999999997,0.71999999999999997,0.71999999999999997,1 +coef_nest_AUTO_DRIVEALONE,0.34999999999999998,0.34999999999999998,0.34999999999999998,1 +coef_nest_AUTO_SHAREDRIDE2,0.34999999999999998,0.34999999999999998,0.34999999999999998,1 +coef_nest_AUTO_SHAREDRIDE3,0.34999999999999998,0.34999999999999998,0.34999999999999998,1 +coef_nest_NONMOTORIZED,0.71999999999999997,0.71999999999999997,0.71999999999999997,1 +coef_nest_RIDEHAIL,0.35999999999999999,0.35999999999999999,0.35999999999999999,1 +coef_nest_TRANSIT,0.71999999999999997,0.71999999999999997,0.71999999999999997,1 +coef_nest_TRANSIT_DRIVEACCESS,0.5,0.5,0.5,1 +coef_nest_TRANSIT_WALKACCESS,0.5,0.5,0.5,1 +coef_ride_hail_ASC_sr2_eatout_social_othdiscr,-6.4237650755245772,-6.4237650755245772,-5.9691999999999998,0 +coef_ride_hail_ASC_sr2_escort_shopping_othmaint,-8.6681239587327461,-8.6681239587327461,-5.6482999999999999,0 +coef_ride_hail_ASC_sr2_school,-9.8588042940530691,-9.8588042940530691,-1.5869,0 +coef_ride_hail_ASC_sr2_univ,-4.3372000000000002,-4.3372000000000002,-4.3372000000000002,0 +coef_ride_hail_ASC_sr2_work,-8.7370618957514985,-8.7370618957514985,-6.1079999999999997,0 +coef_ride_hail_ASC_sr3p_eatout_social_othdiscr,-6.8871198658131894,-6.8871198658131894,-6.7199,0 +coef_ride_hail_ASC_sr3p_school,-7.667321296853344,-7.667321296853344,-2.5362,0 +coef_ride_hail_ASC_sr3p_univ,-4.9219999999999997,-4.9219999999999997,-4.9219999999999997,0 +coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork,-8.4993141583621394,-8.4993141583621394,-7,0 +coef_ride_hail_ASC_taxi_eatout_social_othdiscr,-2.5631373967196924,-2.5631373967196924,-2.5543,0 +coef_ride_hail_ASC_taxi_escort_shopping_othmaint,-3.6639503613758153,-3.6639503613758153,-3.6629,0 +coef_ride_hail_ASC_taxi_school,-1.9540410876610597,-1.9540410876610597,-0.58689999999999998,0 +coef_ride_hail_ASC_taxi_univ,-1.5993999999999999,-1.5993999999999999,-1.5993999999999999,0 +coef_ride_hail_ASC_taxi_work,-2.4992280746351052,-2.4992280746351052,-2.3849999999999998,0 +coef_ride_hail_ASC_tnc_shared,6.4746604585247001,6.4746604585247001,0,0 +coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr,7.2023280939010208,7.2023280939010208,0.82740000000000002,0 +coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint,7.4263660209874116,7.4263660209874116,0.78790000000000004,0 +coef_ride_hail_ASC_tnc_single_school,6.9003930265898461,6.9003930265898461,0.3201,0 +coef_ride_hail_ASC_tnc_single_univ,0.1081,0.1081,0.1081,0 +coef_ride_hail_ASC_tnc_single_work,7.1906030498215934,7.1906030498215934,0.73499999999999999,0 +coef_ride_hail_ASC_walk_eatout_social_othdiscr,-8.2700256968569796,-8.2700256968569796,-3.3603000000000001,0 +coef_ride_hail_ASC_walk_school,-13.75516439764165,-13.75516439764165,0.245,0 +coef_ride_hail_ASC_walk_transit,5.320919867286813,5.320919867286813,0,0 +coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint,-7.9623896833175234,-7.9623896833175234,-7,0 +coef_ride_hail_ASC_walk_work,4.9774767261374491,4.9774767261374491,0.2858,0 +coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr,0,0,0,0 +coef_sov_ASC_rh_school,-10.949190676763848,-10.949190676763848,-5.6548999999999996,0 +coef_sov_ASC_rh_univ,-6.649,-6.649,-6.649,0 +coef_sov_ASC_rh_work_atwork,-7,-7,-7,0 +coef_sov_ASC_sr2_escort,0,0,0,0 +coef_sov_ASC_sr2_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork,-999,-999,-999,0 +coef_sov_ASC_sr3p_escort,0,0,0,0 +coef_sov_ASC_sr3p_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork,-999,-999,-999,0 +coef_sov_ASC_walk_eatout,-2.6351638383156661,-2.6351638383156661,-1.3443000000000001,0 +coef_sov_ASC_walk_escort,0,0,0,0 +coef_sov_ASC_walk_othdiscr,-4.9362989098824706,-4.9362989098824706,-1.5507,0 +coef_sov_ASC_walk_othmaint,-4.4203686413898176,-4.4203686413898176,-1.2992999999999999,0 +coef_sov_ASC_walk_school,-3.1150166914376998,-3.1150166914376998,-71.8977,0 +coef_sov_ASC_walk_shopping,-3.790711593714617,-3.790711593714617,-1.4765999999999999,0 +coef_sov_ASC_walk_social,-15.183480636962726,-15.183480636962726,-1.8077000000000001,0 +coef_sov_ASC_walk_univ,-1.0579000000000001,-1.0579000000000001,-1.0579000000000001,0 +coef_sov_ASC_walk_work,-3.0071231001560492,-3.0071231001560492,-0.83979999999999999,0 +coef_sr2_ASC_rh_univ,-6.6897000000000002,-6.6897000000000002,-6.6897000000000002,0 +coef_sr2_ASC_rh_work_school_escort_shopping_eatout_othmaint_social_othdiscr_atwork,-7,-7,-7,0 +coef_sr2_ASC_sr2_eatout,1.0915911218889376,1.0915911218889376,0.99709999999999999,0 +coef_sr2_ASC_sr2_escort,0.4783058163607723,0.4783058163607723,0.3533,0 +coef_sr2_ASC_sr2_othdiscr,0.84570279022463457,0.84570279022463457,0.74780000000000002,0 +coef_sr2_ASC_sr2_othmaint,0.92430088713320557,0.92430088713320557,0.85740000000000005,0 +coef_sr2_ASC_sr2_school,-0.55142467432696085,-0.55142467432696085,-1.9335,0 +coef_sr2_ASC_sr2_shopping,1.7357779332652892,1.7357779332652892,1.3765000000000001,0 +coef_sr2_ASC_sr2_social,0.75821484443712639,0.75821484443712639,0.56630000000000003,0 +coef_sr2_ASC_sr2_univ,0.4304,0.4304,0.4304,0 +coef_sr2_ASC_sr2_work,0.18734725740026195,0.18734725740026195,0.0149,0 +coef_sr2_ASC_sr3p,-999,-999,-999,0 +coef_sr2_ASC_walk_eatout,-4.5472515289454529,-4.5472515289454529,-0.072900000000000006,0 +coef_sr2_ASC_walk_escort,-23.318883212926828,-23.318883212926828,-2.0528,0 +coef_sr2_ASC_walk_othdiscr,-2.4714996184390858,-2.4714996184390858,-0.026800000000000001,0 +coef_sr2_ASC_walk_othmaint,-3.1513689512096983,-3.1513689512096983,-0.59889999999999999,0 +coef_sr2_ASC_walk_school,-2.0520641973448814,-2.0520641973448814,-1.0362,0 +coef_sr2_ASC_walk_shopping,-3.6616557867959929,-3.6616557867959929,-0.11169999999999999,0 +coef_sr2_ASC_walk_social,-2.8345061083015142,-2.8345061083015142,-0.79320000000000002,0 +coef_sr2_ASC_walk_univ,1.3041,1.3041,1.3041,0 +coef_sr2_ASC_walk_work,-2.2227044743770445,-2.2227044743770445,0.126,0 +coef_sr3p_ASC_rh_school,-10.730125238227592,-10.730125238227592,-6.6714000000000002,0 +coef_sr3p_ASC_rh_univ_escort_shopping_eatout_othmaint_social_othdiscr,-7,-7,-7,0 +coef_sr3p_ASC_rh_work,-71.917699999999996,-71.917699999999996,-71.917699999999996,0 +coef_sr3p_ASC_sr2_eatout,-0.22504507680807895,-0.22504507680807895,-0.31780000000000003,0 +coef_sr3p_ASC_sr2_escort,-0.21630087392009059,-0.21630087392009059,-0.26819999999999999,0 +coef_sr3p_ASC_sr2_othdiscr,-0.42794642963477558,-0.42794642963477558,-0.61419999999999997,0 +coef_sr3p_ASC_sr2_othmaint,0.027657045664653299,0.027657045664653299,-0.29580000000000001,0 +coef_sr3p_ASC_sr2_school,-1.0402498584452382,-1.0402498584452382,-2.7406999999999999,0 +coef_sr3p_ASC_sr2_shopping,0.32506049110749652,0.32506049110749652,-0.078100000000000003,0 +coef_sr3p_ASC_sr2_social,-0.13140596327177012,-0.13140596327177012,-0.15559999999999999,0 +coef_sr3p_ASC_sr2_univ,-0.31169999999999998,-0.31169999999999998,-0.31169999999999998,0 +coef_sr3p_ASC_sr2_work,-0.96412449274578071,-0.96412449274578071,-1.1956,0 +coef_sr3p_ASC_sr3p_eatout,1.4628559194582083,1.4628559194582083,1.3323,0 +coef_sr3p_ASC_sr3p_escort,0.88601825802048151,0.88601825802048151,0.73580000000000001,0 +coef_sr3p_ASC_sr3p_othdiscr,0.83449788039660122,0.83449788039660122,0.73980000000000001,0 +coef_sr3p_ASC_sr3p_othmaint,1.1154991293213483,1.1154991293213483,0.95269999999999999,0 +coef_sr3p_ASC_sr3p_school,0.17070219167279393,0.17070219167279393,-1.7718,0 +coef_sr3p_ASC_sr3p_shopping,1.6317620662617456,1.6317620662617456,1.3394999999999999,0 +coef_sr3p_ASC_sr3p_social,1.2011521984245512,1.2011521984245512,0.83309999999999995,0 +coef_sr3p_ASC_sr3p_univ,0.62929999999999997,0.62929999999999997,0.62929999999999997,0 +coef_sr3p_ASC_sr3p_work,-0.0078556547449509153,-0.0078556547449509153,-0.18360000000000001,0 +coef_sr3p_ASC_walk_eatout,-2.5139966855713642,-2.5139966855713642,-0.043400000000000001,0 +coef_sr3p_ASC_walk_escort,-3.4006765281458122,-3.4006765281458122,-1.0075000000000001,0 +coef_sr3p_ASC_walk_othdiscr,-5.8689862851164607,-5.8689862851164607,-0.5272,0 +coef_sr3p_ASC_walk_othmaint,-5.0613355985663731,-5.0613355985663731,0.042200000000000001,0 +coef_sr3p_ASC_walk_school,-2.4681086096393896,-2.4681086096393896,-1.2126999999999999,0 +coef_sr3p_ASC_walk_shopping,-3.9238148057027744,-3.9238148057027744,-0.50790000000000002,0 +coef_sr3p_ASC_walk_social,-3.0951059771109648,-3.0951059771109648,-0.31340000000000001,0 +coef_sr3p_ASC_walk_univ,1.6793,1.6793,1.6793,0 +coef_sr3p_ASC_walk_work,-2.3560377610366339,-2.3560377610366339,0.21709999999999999,0 +coef_walk_ASC_rh,-7,-7,-7,0 +coef_walk_transit_ASC_commuter_escort,0.54420000000000002,0.54420000000000002,0.54420000000000002,0 +coef_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork,0.51290000000000002,0.51290000000000002,0.51290000000000002,0 +coef_walk_transit_ASC_commuter_univ_school,0.90820000000000001,0.90820000000000001,0.90820000000000001,0 +coef_walk_transit_ASC_commuter_work,0.4012,0.4012,0.4012,0 +coef_walk_transit_ASC_express_escort,0.75470000000000004,0.75470000000000004,0.75470000000000004,0 +coef_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork,0.66479999999999995,0.66479999999999995,0.66479999999999995,0 +coef_walk_transit_ASC_express_univ_school,0.32240000000000002,0.32240000000000002,0.32240000000000002,0 +coef_walk_transit_ASC_express_work,-0.35539999999999999,-0.35539999999999999,-0.35539999999999999,0 +coef_walk_transit_ASC_ferry_escort,0.60050000000000003,0.60050000000000003,0.60050000000000003,0 +coef_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork,0.64659999999999995,0.64659999999999995,0.64659999999999995,0 +coef_walk_transit_ASC_ferry_univ_school,1.7237,1.7237,1.7237,0 +coef_walk_transit_ASC_ferry_work,0.52769999999999995,0.52769999999999995,0.52769999999999995,0 +coef_walk_transit_ASC_heavyrail_escort,0.82721493724592188,0.82721493724592188,0.56730000000000003,0 +coef_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.92635472370348126,0.92635472370348126,0.5403,0 +coef_walk_transit_ASC_heavyrail_univ_school,0.86667504489837865,0.86667504489837865,0.84899999999999998,0 +coef_walk_transit_ASC_heavyrail_work,0.5025352261009528,0.5025352261009528,0.3538,0 +coef_walk_transit_ASC_lightrail_escort,1.1220737240827967,1.1220737240827967,0.5252,0 +coef_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork,0.83144252485479686,0.83144252485479686,0.53920000000000001,0 +coef_walk_transit_ASC_lightrail_univ_school,1.5673106432418389,1.5673106432418389,1.4436,0 +coef_walk_transit_ASC_lightrail_work,0.63258933455537403,0.63258933455537403,0.46210000000000001,0 +coef_walk_transit_ASC_rh_eatout_social_othdiscr,-2.6606459058042766,-2.6606459058042766,-4.7507999999999999,0 +coef_walk_transit_ASC_rh_escort_shopping_othmaint,-2.3584519726828503,-2.3584519726828503,-3.1135999999999999,0 +coef_walk_transit_ASC_rh_school,-4.3651480868436616,-4.3651480868436616,-7,0 +coef_walk_transit_ASC_rh_univ,-4.2690999999999999,-4.2690999999999999,-4.2690999999999999,0 +coef_walk_transit_ASC_rh_work,-2.8694950408844635,-2.8694950408844635,-3.7408000000000001,0 +coef_walk_transit_ASC_sr2_eatout,-2.0166783466764731,-2.0166783466764731,-3.1434000000000002,0 +coef_walk_transit_ASC_sr2_escort,-0.99918778660088436,-0.99918778660088436,-2.6284000000000001,0 +coef_walk_transit_ASC_sr2_othdiscr,-1.239023652712798,-1.239023652712798,-2.7589999999999999,0 +coef_walk_transit_ASC_sr2_othmaint,-34.674600000000112,-34.674600000000112,-34.674599999999998,0 +coef_walk_transit_ASC_sr2_school,-2.274826392672725,-2.274826392672725,-4.2961,0 +coef_walk_transit_ASC_sr2_shopping,-2.1328304552358719,-2.1328304552358719,-4.0114999999999998,0 +coef_walk_transit_ASC_sr2_social,-2.0833502428062123,-2.0833502428062123,-3.3662999999999998,0 +coef_walk_transit_ASC_sr2_univ,-4.0049999999999999,-4.0049999999999999,-4.0049999999999999,0 +coef_walk_transit_ASC_sr2_work,-2.2668862736328519,-2.2668862736328519,-3.6631,0 +coef_walk_transit_ASC_sr3p_eatout,-2.5264121576158045,-2.5264121576158045,-3.8519999999999999,0 +coef_walk_transit_ASC_sr3p_escort,-5.8381371662273835,-5.8381371662273835,-3.2073999999999998,0 +coef_walk_transit_ASC_sr3p_othdiscr,-1.2063771576374867,-1.2063771576374867,-2.5125999999999999,0 +coef_walk_transit_ASC_sr3p_othmaint,-29.385800000282099,-29.385800000282099,-29.3858,0 +coef_walk_transit_ASC_sr3p_school,-2.4112913709689163,-2.4112913709689163,-3.8664999999999998,0 +coef_walk_transit_ASC_sr3p_shopping,-9.3867562985269899,-9.3867562985269899,-4.3852000000000002,0 +coef_walk_transit_ASC_sr3p_social,-21.630900000230085,-21.630900000230085,-21.6309,0 +coef_walk_transit_ASC_sr3p_univ,-28.697199999999999,-28.697199999999999,-28.697199999999999,0 +coef_walk_transit_ASC_sr3p_work,-2.6637022892916695,-2.6637022892916695,-4.1314000000000002,0 +coef_walk_transit_ASC_walk_eatout,0.16644232569851822,0.16644232569851822,1.3504,0 +coef_walk_transit_ASC_walk_escort,-7.2572232561591434,-7.2572232561591434,-0.99739999999999995,0 +coef_walk_transit_ASC_walk_othdiscr,-0.97975419372738359,-0.97975419372738359,-0.49969999999999998,0 +coef_walk_transit_ASC_walk_othmaint,-0.28905978556563527,-0.28905978556563527,0.7248,0 +coef_walk_transit_ASC_walk_school,-1.4956108248781241,-1.4956108248781241,-1.1828000000000001,0 +coef_walk_transit_ASC_walk_shopping,-0.81195924640993355,-0.81195924640993355,-0.1943,0 +coef_walk_transit_ASC_walk_social,-2.3212936443153995,-2.3212936443153995,-0.7651,0 +coef_walk_transit_ASC_walk_univ,-1.0310999999999999,-1.0310999999999999,-1.0310999999999999,0 +coef_walk_transit_ASC_walk_work,-0.39145632958685811,-0.39145632958685811,0.44319999999999998,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_stop_freq_model.csv b/activitysim/estimation/test/test_larch_estimation/test_stop_freq_model.csv index fe3ad8745..8226d916b 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_stop_freq_model.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_stop_freq_model.csv @@ -1,189 +1,189 @@ -,value,initvalue,nullvalue,minimum,maximum,best -coef_alternative_specific_constant_for_outbound_stops_1out_0in,-0.64459225156448208,-0.83299999999999996,0,,,-0.64459225156448208 -coef_alternative_specific_constant_for_outbound_stops_2out_0in,-2.4255802366653585,-2.613,0,,,-2.4255802366653585 -coef_alternative_specific_constant_for_outbound_stops_3out_0in,-3.5820111930695417,-3.9340000000000002,0,,,-3.5820111930695417 -coef_alternative_specific_constant_for_return_stops_0out_1in,-0.3361407605068179,-0.44500000000000001,0,,,-0.3361407605068179 -coef_alternative_specific_constant_for_return_stops_0out_2in,-1.4776978296906871,-1.7749999999999999,0,,,-1.4776978296906871 -coef_alternative_specific_constant_for_return_stops_0out_3in,-1.8942287851285506,-2.1389999999999998,0,,,-1.8942287851285506 -coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,-0.066082964956457158,0,0,,,-0.066082964956457158 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,0.39410022765664782,0.69499999999999995,0,,,0.39410022765664782 -coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,-1.9991650147668323,-1.9299999999999999,0,,,-1.9991650147668323 -coef_dummy_for_all_stops_made_by_transit,-0.67359832175323664,-0.69999999999999996,0,,,-0.67359832175323664 -coef_dummy_for_distance_in_miles,0.044964434234324543,0.01,0,,,0.044964434234324543 -coef_dummy_for_distance_less_than_20_miles,-0.706160965748858,-0.22,0,,,-0.706160965748858 -coef_dummy_for_female,0.28231394503923868,0.22,0,,,0.28231394503923868 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours,0.71316112803981435,0.59999999999999998,0,,,0.71316112803981435 -coef_dummy_for_walking_to_all_stops,-1.4873003617932004,-1.54,0,,,-1.4873003617932004 -coef_evening_arrival_19_00_interacted_with_return_tours,0.60673724793430617,0.31,0,,,0.60673724793430617 -coef_high_income_hh,0.24000000000001878,0.23999999999999999,0,,,0.24000000000001878 -coef_mid_to_high_income_hh,0.22999999999999904,0.23000000000000001,0,,,0.22999999999999904 -coef_middle_to_low_income_hh,0.16999999999999266,0.17000000000000001,0,,,0.16999999999999266 -coef_no_stops_if_tour_mode_is_drivetransit,-999,-999,0,,,-999 -coef_num_kids_between_5_and_15_including_years_old,0.092924351471183969,0.080000000000000002,0,,,0.092924351471183969 -coef_number_of_adults_16_years_old_,0.077365010457442138,0.029999999999999999,0,,,0.077365010457442138 -coef_number_of_cars_number_of_workers,-0.066249623271299782,0.16,0,,,-0.066249623271299782 -coef_number_of_escort_tours_tours_undertaken_by_the_person,0.096330730862920849,0.20000000000000001,0,,,0.096330730862920849 -coef_number_of_hh_persons,-0.33185226515031135,-0.31,0,,,-0.33185226515031135 -coef_number_of_school_tours_tours_undertaken_by_the_person,0.08642823107614464,-1.55,0,,,0.08642823107614464 -coef_number_of_shop_tours_undertaken_by_the_houshold,-0.32741940681713538,-0.050000000000000003,0,,,-0.32741940681713538 -coef_number_of_students_in_hh,0.31650418957116999,0.20999999999999999,0,,,0.31650418957116999 -coef_number_of_subtours_in_the_tour,0.33666132961145517,0.19,0,,,0.33666132961145517 -coef_number_of_university_tours_tours_undertaken_by_the_person,-0.48000000000000226,-0.47999999999999998,0,,,-0.48000000000000226 -coef_number_of_work_tours_undertaken_by_the_person,-0.17466645120795349,-0.14999999999999999,0,,,-0.17466645120795349 -coef_presence_of_kids_between_0_and_4_including_years_old,0.56261491842472322,0.73999999999999999,0,,,0.56261491842472322 -coef_presence_of_kids_between_5_and_15_including_years_old,0.1165493262082634,0.26000000000000001,0,,,0.1165493262082634 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_school,-1.7790649191402255,-2.1230000000000002,0,,,-1.7790649191402255 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_school,-4.234917600900892,-3.798,0,,,-4.234917600900892 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_school,-6.1101913112134891,-5.8499999999999996,0,,,-6.1101913112134891 -coef_alternative_specific_constant_for_return_stops_0out_1in_school,-1.2575756776155038,-1.206,0,,,-1.2575756776155038 -coef_alternative_specific_constant_for_return_stops_0out_2in_school,-2.7008487973600204,-2.6720000000000002,0,,,-2.7008487973600204 -coef_alternative_specific_constant_for_return_stops_0out_3in_school,-3.1227065529446167,-3.3639999999999999,0,,,-3.1227065529446167 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,1.474045133717242,0.70099999999999996,0,,,1.474045133717242 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school,1.992911512841014,1.135,0,,,1.992911512841014 -coef_arrival_later_than_17_00_,1.3670454388826592,1.8376999999999999,0,,,1.3670454388826592 -coef_dummy_for_distance_in_miles_school,0.095083267583630102,0.043799999999999999,0,,,0.095083267583630102 -coef_dummy_for_female_school,0.68909925924380133,0.40989999999999999,0,,,0.68909925924380133 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_,1.9145027660467904,0.95489999999999997,0,,,1.9145027660467904 -coef_dummy_for_walking_to_all_stops_school,-1.514711575382329,-1.8163,0,,,-1.514711575382329 -coef_number_of_cars_number_of_workers_school,0.29163991408877671,0.53310000000000002,0,,,0.29163991408877671 -coef_number_of_escort_tours_tours_undertaken_by_the_person_school,2.311650198005148,1.2364999999999999,0,,,2.311650198005148 -coef_number_of_hh_persons_school,-0.59762555971611364,-0.50600000000000001,0,,,-0.59762555971611364 -coef_presence_of_kids_between_5_and_15_including_years_old_school,0.025364840519008454,0.32990000000000003,0,,,0.025364840519008454 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ,-2.1635923818442357,-2.6280000000000001,0,,,-2.1635923818442357 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ,-3.922683293550401,-3.7410000000000001,0,,,-3.922683293550401 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ,-4.4868172910452992,-4.9809999999999999,0,,,-4.4868172910452992 -coef_alternative_specific_constant_for_return_stops_0out_1in_univ,-1.5298270302866508,-2.0030000000000001,0,,,-1.5298270302866508 -coef_alternative_specific_constant_for_return_stops_0out_2in_univ,-3.3006601948863188,-3.5099999999999998,0,,,-3.3006601948863188 -coef_alternative_specific_constant_for_return_stops_0out_3in_univ,-3.7075364155245767,-3.677,0,,,-3.7075364155245767 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ,1.8522535636157311,1.272,0,,,1.8522535636157311 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ,1.8679561735778554,1.871,0,,,1.8679561735778554 -coef_arrival_later_than_17_00__univ,0.38609418401942114,0.38900000000000001,0,,,0.38609418401942114 -coef_dummy_for_female_univ,0.51916166319197454,0.7349,0,,,0.51916166319197454 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ,1.0828661743516874,0.84340000000000004,0,,,1.0828661743516874 -coef_hh_accesibility_for_inbound_tours_interaction,0.24105038323693603,0.24809999999999999,0,,,0.24105038323693603 -coef_number_of_escort_tours_tours_undertaken_by_the_person_univ,1.8575681307186125,0.90180000000000005,0,,,1.8575681307186125 -coef_number_of_hh_persons_univ,-0.33066321661527537,-0.28270000000000001,0,,,-0.33066321661527537 -coef_number_of_vehicles,0.26364695030485774,0.17030000000000001,0,,,0.26364695030485774 -coef_presence_of_kids_between_5_and_15_including_years_old_univ,-0.044568923553371873,0.68230000000000002,0,,,-0.044568923553371873 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_social,-2.311541928791784,-1.081,0,,,-2.311541928791784 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_social,-3.971643113248795,-2.8740000000000001,0,,,-3.971643113248795 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_social,-14.469243911405519,-4.5519999999999996,0,,,-14.469243911405519 -coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,-2.3802074504942019,-1.7829999999999999,0,,,-2.3802074504942019 -coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,-4.719796104655666,-4.0670000000000002,0,,,-4.719796104655666 -coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,-11.749677886071149,-4.9980000000000002,0,,,-11.749677886071149 -coef_alternative_specific_constant_for_return_stops_0out_1in_social,0.20587483859873654,-1.1200000000000001,0,,,0.20587483859873654 -coef_alternative_specific_constant_for_return_stops_0out_2in_social,-2.5883343811753692,-2.7639999999999998,0,,,-2.5883343811753692 -coef_alternative_specific_constant_for_return_stops_0out_3in_social,-3.3206409198297089,-3.4510000000000001,0,,,-3.3206409198297089 -coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,-1.6522833462248787,-1.329,0,,,-1.6522833462248787 -coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-4.1415469266822509,-2.7960000000000003,0,,,-4.1415469266822509 -coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,-4.0471873952483204,-3.379,0,,,-4.0471873952483204 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social,2.4766471322901977,0.496,0,,,2.4766471322901977 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social,-1.7322797167348338,0.88200000000000001,0,,,-1.7322797167348338 -coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,0.33004028360351806,0,0,,,0.33004028360351806 -coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,-4.3574765624568856,0.51800000000000002,0,,,-4.3574765624568856 -coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,-1.4567085446015828,1.4970000000000001,0,,,-1.4567085446015828 -coef_arrival_later_than_17_00__social,-0.46270836809978866,-0.45000000000000001,0,,,-0.46270836809978866 -coef_at_least_one_kid_and_one_adult_participate_in_the_tour,1.9188835397128035,0.37,0,,,1.9188835397128035 -coef_dummy_for_a_return_visiting_tour,-1.5149329165512258,-0.64000000000000001,0,,,-1.5149329165512258 -coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,0.47207475952054606,0.44,0,,,0.47207475952054606 -coef_dummy_for_an_outbound_visiting_tour,0.23539836860732627,-0.68999999999999995,0,,,0.23539836860732627 -coef_dummy_for_distance_in_miles_social,-0.072029213636538594,-0.01,0,,,-0.072029213636538594 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_,1.1553718422199695,1.3100000000000001,0,,,1.1553718422199695 -coef_dummy_for_walking_to_all_stops_social,-2.0728871373961595,-1.73,0,,,-2.0728871373961595 -coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,-0.050333392255275736,-0.46000000000000002,0,,,-0.050333392255275736 -coef_number_of_shop_tours_undertaken_by_the_person,-0.17568161789582087,-0.23999999999999999,0,,,-0.17568161789582087 -coef_number_of_vehicles_social,-0.15477794105663009,-0.19,0,,,-0.15477794105663009 -coef_number_of_work_tours_undertaken_by_the_person_social,-0.0089584068199000319,-0.28000000000000003,0,,,-0.0089584068199000319 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping,-1.4838947085615379,-1.339,0,,,-1.4838947085615379 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping,-3.2620315739726551,-3.1099999999999999,0,,,-3.2620315739726551 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping,-4.4603602952393357,-4.4870000000000001,0,,,-4.4603602952393357 -coef_alternative_specific_constant_for_return_stops_0out_1in_shopping,-1.2344970570494438,-1.179,0,,,-1.2344970570494438 -coef_alternative_specific_constant_for_return_stops_0out_2in_shopping,-2.4998350943155576,-2.3050000000000002,0,,,-2.4998350943155576 -coef_alternative_specific_constant_for_return_stops_0out_3in_shopping,-3.0179726864409173,-3.024,0,,,-3.0179726864409173 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping,0.51786237531360479,0.252,0,,,0.51786237531360479 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping,-0.13999198594270704,0.51400000000000001,0,,,-0.13999198594270704 -coef_dummy_for_distance_in_miles_shopping,0.023954475817419198,0.028899999999999999,0,,,0.023954475817419198 -coef_dummy_for_distance_less_than_5_miles,0.16375057013711192,0.37680000000000002,0,,,0.16375057013711192 -coef_dummy_for_female_shopping,0.33555842166191147,0.1721,0,,,0.33555842166191147 -coef_dummy_for_only_adults_participate_in_the_tour,1.8328392426308462,0.19020000000000001,0,,,1.8328392426308462 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping,3.0901330214553973,0.90559999999999996,0,,,3.0901330214553973 -coef_dummy_for_walking_to_all_stops_shopping,-1.8757970066056326,-1.4907999999999999,0,,,-1.8757970066056326 -coef_num_kids_between_5_and_15_including_years_old_shopping,-0.041573431257791199,0.0482,0,,,-0.041573431257791199 -coef_number_of_hh_persons_shopping,-0.086440021903122138,-0.1522,0,,,-0.086440021903122138 -coef_number_of_maintenace_tours_tours_undertaken_by_the_person,-0.32594276341704287,-0.19769999999999999,0,,,-0.32594276341704287 -coef_number_of_shop_tours_undertaken_by_the_houshold_shopping,0.148064037095576,-0.073300000000000004,0,,,0.148064037095576 -coef_number_of_university_tours_tours_undertaken_by_the_person_shopping,-0.67089999999999317,-0.67090000000000005,0,,,-0.67089999999999317 -coef_number_of_work_tours_undertaken_by_the_person_shopping,-0.43852307225491766,-0.54799999999999993,0,,,-0.43852307225491766 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout,-1.8947544828670186,-2.1899999999999999,0,,,-1.8947544828670186 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout,-12.056169150387893,-4.516,0,,,-12.056169150387893 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout,-3.6615505167080027,-5.2549999999999999,0,,,-3.6615505167080027 -coef_alternative_specific_constant_for_return_stops_0out_1in_eatout,-1.7027857761249232,-1.7609999999999999,0,,,-1.7027857761249232 -coef_alternative_specific_constant_for_return_stops_0out_2in_eatout,-2.9579857808480341,-3.6970000000000001,0,,,-2.9579857808480341 -coef_alternative_specific_constant_for_return_stops_0out_3in_eatout,-4.7624817489674145,-4.7169999999999996,0,,,-4.7624817489674145 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout,-7.6049863056520284,0.93999999999999995,0,,,-7.6049863056520284 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout,-6.3461221747969292,2.0259999999999998,0,,,-6.3461221747969292 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort,-2.2250757954780624,-2.173,0,,,-2.2250757954780624 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort,-4.7895755848191897,-4.2939999999999996,0,,,-4.7895755848191897 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort,-4.7102122245889007,-4.758,0,,,-4.7102122245889007 -coef_alternative_specific_constant_for_return_stops_0out_1in_escort,-1.2974740994833047,-0.96799999999999997,0,,,-1.2974740994833047 -coef_alternative_specific_constant_for_return_stops_0out_2in_escort,-2.384295363242952,-2.4100000000000001,0,,,-2.384295363242952 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort,-4.200646186979724,-1.8069999999999999,0,,,-4.200646186979724 -coef_dummy_for_distance_less_than_5_miles_escort,0.28109442258515044,0.32000000000000001,0,,,0.28109442258515044 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort,1.399121270410205,0.58999999999999997,0,,,1.399121270410205 -coef_dummy_for_walking_to_all_stops_escort,-0.33797126945456507,-1.9099999999999999,0,,,-0.33797126945456507 -coef_number_of_escort_tours_tours_undertaken_by_the_person_escort,-0.25348532544405961,-0.14999999999999999,0,,,-0.25348532544405961 -coef_number_of_hh_persons_escort,-0.17640711121772834,-0.23999999999999999,0,,,-0.17640711121772834 -coef_number_of_students_in_hh_escort,0.15956368405077143,0.19,0,,,0.15956368405077143 -coef_number_of_work_tours_undertaken_by_the_person_escort,-0.15468473406122965,-0.28999999999999998,0,,,-0.15468473406122965 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint,-1.7954028317479085,-1.7609999999999999,0,,,-1.7954028317479085 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint,-2.9624065700982283,-3.661,0,,,-2.9624065700982283 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint,-3.5347850519252844,-5.4260000000000002,0,,,-3.5347850519252844 -coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint,-0.31247075228968507,-0.58499999999999996,0,,,-0.31247075228968507 -coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint,-0.55780644045958916,-1.48,0,,,-0.55780644045958916 -coef_alternative_specific_constant_for_return_stops_0out_3in_othmaint,-1.4356606147103497,-2.4620000000000002,0,,,-1.4356606147103497 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint,-0.36815794089018233,0.41399999999999998,0,,,-0.36815794089018233 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint,-9.3990479541430307,0.48799999999999999,0,,,-9.3990479541430307 -coef_dummy_for_distance_in_miles_othmaint,0.10402635612778853,0.027300000000000001,0,,,0.10402635612778853 -coef_dummy_for_distance_less_than_20_miles_,-1.1515269947782993,-0.40799999999999997,0,,,-1.1515269947782993 -coef_dummy_for_female_othmaint,0.25071759069742156,0.30120000000000002,0,,,0.25071759069742156 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint,0.15444184637909519,0.51339999999999997,0,,,0.15444184637909519 -coef_dummy_for_walking_to_all_stops_othmaint,-2.3023894742054765,-1.4329000000000001,0,,,-2.3023894742054765 -coef_middle_to_low_income_hh_,0.16999999999999751,0.17000000000000001,0,,,0.16999999999999751 -coef_number_of_maintenace_tours_undertaken_by_the_houshold,-0.28330678921194874,-0.046800000000000001,0,,,-0.28330678921194874 -coef_number_of_persons_participating_in_the_tour_return_stops_interaction,0.86852209944195768,0.4904,0,,,0.86852209944195768 -coef_number_of_shool_tours_tours_undertaken_by_the_person,-8.3600381729826356,-1.4135,0,,,-8.3600381729826356 -coef_number_of_shop_tours_undertaken_by_the_person_othmaint,-0.2135166522304546,-0.14280000000000001,0,,,-0.2135166522304546 -coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint,-0.62519999999999998,-0.62519999999999998,0,,,-0.62519999999999998 -coef_number_of_work_tours_undertaken_by_the_person_othmaint,-0.37594536286827945,-0.36399999999999999,0,,,-0.37594536286827945 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr,-1.4221678878531314,-1.581,0,,,-1.4221678878531314 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr,-2.8848210033043737,-3.323,0,,,-2.8848210033043737 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr,-4.252076697537615,-4.6230000000000002,0,,,-4.252076697537615 -coef_alternative_specific_constant_for_return_stops_0out_1in_othdiscr,-1.0106467090607749,-0.92100000000000004,0,,,-1.0106467090607749 -coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr,-2.4905380449227463,-2.3359999999999999,0,,,-2.4905380449227463 -coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr,-2.9393725902979506,-2.927,0,,,-2.9393725902979506 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr,0.93746509917896281,0.86299999999999999,0,,,0.93746509917896281 -coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othdiscr,0.1562826739961867,0.93899999999999995,0,,,0.1562826739961867 -coef_arrival_later_than_17_00__othdiscr,-0.36444328163105733,-0.63829999999999998,0,,,-0.36444328163105733 -coef_dummy_for_distance_in_miles_othdiscr,0.050978615843919654,-0.022499999999999999,0,,,0.050978615843919654 -coef_dummy_for_distance_less_than_10_miles_,-0.041691234906133287,0.37559999999999999,0,,,-0.041691234906133287 -coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr,0.24111825316596613,0.83350000000000002,0,,,0.24111825316596613 -coef_dummy_for_walking_to_all_stops_othdiscr,-2.0711353545710396,-2.4578000000000002,0,,,-2.0711353545710396 -coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr,-0.63013749629210336,-0.3715,0,,,-0.63013749629210336 -coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr,-0.60717706214459344,-0.81759999999999999,0,,,-0.60717706214459344 -coef_number_of_shop_tours_undertaken_by_the_person_othdiscr,-0.61831778671278581,-0.629,0,,,-0.61831778671278581 -coef_number_of_work_tours_undertaken_by_the_person_othdiscr,-0.48765485585276552,-0.61529999999999996,0,,,-0.48765485585276552 -coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork,-3.4794056872571746,-3.8959999999999999,0,,,-3.4794056872571746 -coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork,-5.1779127909529326,-5.7089999999999996,0,,,-5.1779127909529326 -coef_alternative_specific_constant_for_outbound_stops_3out_0in_atwork,-6.8972239265618009,-7.3610000000000007,0,,,-6.8972239265618009 -coef_alternative_specific_constant_for_return_stops_0out_1in_atwork,-3.4084307916883305,-3.6709999999999998,0,,,-3.4084307916883305 -coef_alternative_specific_constant_for_return_stops_0out_2in_atwork,-5.5993645137153578,-5.3879999999999999,0,,,-5.5993645137153578 -coef_alternative_specific_constant_for_return_stops_0out_3in_atwork,-7.6012050846491075,-6.21,0,,,-7.6012050846491075 -coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork,2.1051947898870833,2.1269999999999998,0,,,2.1051947898870833 -coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_,0.27000000000000002,0.27000000000000002,0,,,0.27000000000000002 -coef_middle_to_low_income_hh__atwork,0.60212861030437703,0.45000000000000001,0,,,0.60212861030437703 -coef_number_of_eating_tours_tours_undertaken_by_the_person,-0.2548910504386343,-0.28000000000000003,0,,,-0.2548910504386343 -coef_primary_destination_accessibility_log_of_it_,0.17070563536066408,0.17999999999999999,0,,,0.17070563536066408 -coef_subtour_departure_less_than_or_equal_to_11am,0.2690647561783549,0.31,0,,,0.2690647561783549 -coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_,-0.15252472133506134,0.02,0,,,-0.15252472133506134 -coef_subtour_duration_in_hours_integer_,0.68175040347788651,0.56000000000000005,0,,,0.68175040347788651 -coef_subtour_return_time_greater_or_equal_to_2pm,1.5555725209500013,0.34000000000000002,0,,,1.5555725209500013 +param_name,value,best,initvalue,nullvalue +coef_alternative_specific_constant_for_outbound_stops_1out_0in,-0.64664292294462322,-0.64664292294462322,-0.83300000429153442,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork,-3.4646908445777185,-3.4646908445777185,-3.8959999084472656,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout,-1.9002755809567333,-1.9002755809567333,-2.190000057220459,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort,-2.2236727981595754,-2.2236727981595754,-2.1730000972747803,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr,-1.4225160376379478,-1.4225160376379478,-1.5809999704360962,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint,-1.7982672995567395,-1.7982672995567395,-1.7610000371932983,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_school,-1.7843866978905401,-1.7843866978905401,-2.122999906539917,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping,-1.4865329275382189,-1.4865329275382189,-1.3389999866485596,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_social,-2.4183081291403341,-2.4183081291403341,-1.0809999704360962,0 +coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ,-2.1599604516652944,-2.1599604516652944,-2.628000020980835,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in,-2.4294460976186265,-2.4294460976186265,-2.6129999160766602,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork,-5.162092909819334,-5.162092909819334,-5.7090001106262207,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout,-12.348235464701929,-12.348235464701929,-4.5159997940063477,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort,-4.7869220327015922,-4.7869220327015922,-4.2940001487731934,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr,-2.8878858646220089,-2.8878858646220089,-3.3229999542236328,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint,-2.9665698636514888,-2.9665698636514888,-3.6610000133514404,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_school,-4.2448419370273394,-4.2448419370273394,-3.7980000972747803,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping,-3.2674224134549679,-3.2674224134549679,-3.1099998950958252,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_social,-4.083061579914375,-4.083061579914375,-2.874000072479248,0 +coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ,-3.9124510768537806,-3.9124510768537806,-3.7409999370574951,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in,-3.5882985172757271,-3.5882985172757271,-3.9340000152587891,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_atwork,-6.8802912288167422,-6.8802912288167422,-7.3610000610351562,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout,-3.6740988604843077,-3.6740988604843077,-5.255000114440918,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort,-4.7119993374061275,-4.7119993374061275,-4.7579998970031738,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr,-4.2547457784063534,-4.2547457784063534,-4.6230001449584961,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint,-3.5457191991847736,-3.5457191991847736,-5.4260001182556152,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_school,-6.1404126227480189,-6.1404126227480189,-5.8499999046325684,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping,-4.4728129557270648,-4.4728129557270648,-4.4869999885559082,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_social,-14.181486266726454,-14.181486266726454,-4.5520000457763672,0 +coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ,-4.4862998759715698,-4.4862998759715698,-4.9809999465942383,0 +coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,-2.3818839828880933,-2.3818839828880933,-1.7829999923706055,0 +coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,-4.7211128189494742,-4.7211128189494742,-4.0669999122619629,0 +coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,-11.512801227605346,-11.512801227605346,-4.9980001449584961,0 +coef_alternative_specific_constant_for_return_stops_0out_1in,-0.33835620803188837,-0.33835620803188837,-0.44499999284744263,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_atwork,-3.3927653179415662,-3.3927653179415662,-3.6710000038146973,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_eatout,-1.7128159843448749,-1.7128159843448749,-1.7610000371932983,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_escort,-1.2952840546510411,-1.2952840546510411,-0.96799999475479126,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_othdiscr,-1.0109237306426695,-1.0109237306426695,-0.92100000381469727,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint,-0.31261766892443127,-0.31261766892443127,-0.58499997854232788,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_school,-1.263001355242064,-1.263001355242064,-1.2059999704360962,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_shopping,-1.2369710581521229,-1.2369710581521229,-1.1790000200271606,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_social,0.17362744454328641,0.17362744454328641,-1.1200000047683716,0 +coef_alternative_specific_constant_for_return_stops_0out_1in_univ,-1.5271071961686673,-1.5271071961686673,-2.003000020980835,0 +coef_alternative_specific_constant_for_return_stops_0out_2in,-1.4815144916155247,-1.4815144916155247,-1.7749999761581421,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_atwork,-5.5866314294429644,-5.5866314294429644,-5.3880000114440918,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_eatout,-2.9694905231062454,-2.9694905231062454,-3.6970000267028809,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_escort,-2.382475901775571,-2.382475901775571,-2.4100000858306885,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr,-2.4932337056093066,-2.4932337056093066,-2.3359999656677246,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint,-0.559549687865037,-0.559549687865037,-1.4800000190734863,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_school,-2.7043554260825506,-2.7043554260825506,-2.6719999313354492,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_shopping,-2.5050450260948609,-2.5050450260948609,-2.3050000667572021,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_social,-2.6165947696422243,-2.6165947696422243,-2.7639999389648438,0 +coef_alternative_specific_constant_for_return_stops_0out_2in_univ,-3.3021693186962295,-3.3021693186962295,-3.5099999904632568,0 +coef_alternative_specific_constant_for_return_stops_0out_3in,-1.8983525585535195,-1.8983525585535195,-2.1389999389648438,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_atwork,-7.5705523838869704,-7.5705523838869704,-6.2100000381469727,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_eatout,-4.796417149118664,-4.796417149118664,-4.7170000076293945,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr,-2.9420323763794887,-2.9420323763794887,-2.9270000457763672,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_othmaint,-1.4387779329032728,-1.4387779329032728,-2.4619998931884766,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_school,-3.1370907253356171,-3.1370907253356171,-3.3640000820159912,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_shopping,-3.0227423732428385,-3.0227423732428385,-3.0239999294281006,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_social,-3.365589571395263,-3.365589571395263,-3.4509999752044678,0 +coef_alternative_specific_constant_for_return_stops_0out_3in_univ,-3.7066457714767771,-3.7066457714767771,-3.6770000457763672,0 +coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,-1.6502808127233042,-1.6502808127233042,-1.3289999961853027,0 +coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-4.1259435861090799,-4.1259435861090799,-2.7960000038146973,0 +coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,-4.0391454462416165,-4.0391454462416165,-3.3789999485015869,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,-0.063749295179186538,-0.063749295179186538,0,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,1.488754315051501,1.488754315051501,0.70099997520446777,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork,2.075702350960686,2.075702350960686,2.127000093460083,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout,-7.6034666858545901,-7.6034666858545901,0.93999999761581421,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr,0.94069720899608722,0.94069720899608722,0.86299997568130493,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint,-0.36444527841576962,-0.36444527841576962,0.414000004529953,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping,0.52573690053968991,0.52573690053968991,0.25200000405311584,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social,2.4865763319224596,2.4865763319224596,0.49599999189376831,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ,1.8527731047949576,1.8527731047949576,1.2719999551773071,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,0.4026073230010761,0.4026073230010761,0.69499999284744263,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout,-6.1299064789603026,-6.1299064789603026,2.0260000228881836,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort,-3.7134719215772845,-3.7134719215772845,-1.8070000410079956,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othdiscr,0.17361191938538348,0.17361191938538348,0.93900001049041748,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint,-9.4707846262842086,-9.4707846262842086,0.48800000548362732,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school,2.0224057350148397,2.0224057350148397,1.1349999904632568,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping,-0.12757312512048605,-0.12757312512048605,0.51399999856948853,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social,-1.3744527120467618,-1.3744527120467618,0.88200002908706665,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ,1.8597722433784889,1.8597722433784889,1.8710000514984131,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,0.32162618139688331,0.32162618139688331,0,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,-4.2949115331788805,-4.2949115331788805,0.51800000667572021,0 +coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,-1.3125472274782721,-1.3125472274782721,1.496999979019165,0 +coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,-1.9993783388249304,-1.9993783388249304,-1.9299999475479126,0 +coef_arrival_later_than_17_00_,1.3712401433259278,1.3712401433259278,1.8377000093460083,0 +coef_arrival_later_than_17_00__othdiscr,-0.36182578620009853,-0.36182578620009853,-0.63830000162124634,0 +coef_arrival_later_than_17_00__social,-0.45958068481537828,-0.45958068481537828,-0.44999998807907104,0 +coef_arrival_later_than_17_00__univ,0.3855005796150392,0.3855005796150392,0.38899999856948853,0 +coef_at_least_one_kid_and_one_adult_participate_in_the_tour,1.8868763384626477,1.8868763384626477,0.37000000476837158,0 +coef_dummy_for_a_return_visiting_tour,-1.4902612723336455,-1.4902612723336455,-0.63999998569488525,0 +coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,0.4774633750050547,0.4774633750050547,0.43999999761581421,0 +coef_dummy_for_all_stops_made_by_transit,-0.67365004739838075,-0.67365004739838075,-0.69999998807907104,0 +coef_dummy_for_an_outbound_visiting_tour,0.33371222702629083,0.33371222702629083,-0.68999999761581421,0 +coef_dummy_for_distance_in_miles,0.04459896461230884,0.04459896461230884,0.0099999997764825821,0 +coef_dummy_for_distance_in_miles_othdiscr,0.050994204723024648,0.050994204723024648,-0.022500000894069672,0 +coef_dummy_for_distance_in_miles_othmaint,0.10425996435025388,0.10425996435025388,0.027300000190734863,0 +coef_dummy_for_distance_in_miles_school,0.095129477447622096,0.095129477447622096,0.043800000101327896,0 +coef_dummy_for_distance_in_miles_shopping,0.024311169311439184,0.024311169311439184,0.028899999335408211,0 +coef_dummy_for_distance_in_miles_social,-0.071016613228709641,-0.071016613228709641,-0.0099999997764825821,0 +coef_dummy_for_distance_less_than_10_miles_,-0.042062943317224627,-0.042062943317224627,0.37560001015663147,0 +coef_dummy_for_distance_less_than_20_miles,-0.69994214881030159,-0.69994214881030159,-0.2199999988079071,0 +coef_dummy_for_distance_less_than_20_miles_,-1.1529791304602006,-1.1529791304602006,-0.40799999237060547,0 +coef_dummy_for_distance_less_than_5_miles,0.16605718344134035,0.16605718344134035,0.37680000066757202,0 +coef_dummy_for_distance_less_than_5_miles_escort,0.27909765242825124,0.27909765242825124,0.31999999284744263,0 +coef_dummy_for_female,0.28229839587426708,0.28229839587426708,0.2199999988079071,0 +coef_dummy_for_female_othmaint,0.25086336764451594,0.25086336764451594,0.30120000243186951,0 +coef_dummy_for_female_school,0.69500027366692196,0.69500027366692196,0.4099000096321106,0 +coef_dummy_for_female_shopping,0.33523175540304978,0.33523175540304978,0.17209999263286591,0 +coef_dummy_for_female_univ,0.51700991234531735,0.51700991234531735,0.73489999771118164,0 +coef_dummy_for_only_adults_participate_in_the_tour,1.823935137209177,1.823935137209177,0.19020000100135803,0 +coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_,0.27000001072883606,0.27000001072883606,0.27000001072883606,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours,0.71310000535072282,0.71310000535072282,0.60000002384185791,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_,1.1559795820114029,1.1559795820114029,1.309999942779541,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_,1.9112642049973785,1.9112642049973785,0.95490002632141113,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort,1.4016231431941613,1.4016231431941613,0.5899999737739563,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr,0.23693003799296872,0.23693003799296872,0.83350002765655518,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint,0.15461331684851626,0.15461331684851626,0.51340001821517944,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping,3.0905565103897032,3.0905565103897032,0.90560001134872437,0 +coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ,1.0776052104148675,1.0776052104148675,0.84340000152587891,0 +coef_dummy_for_walking_to_all_stops,-1.4898874048260706,-1.4898874048260706,-1.5399999618530273,0 +coef_dummy_for_walking_to_all_stops_escort,-0.34448329904128916,-0.34448329904128916,-1.9099999666213989,0 +coef_dummy_for_walking_to_all_stops_othdiscr,-2.0623131666705032,-2.0623131666705032,-2.4577999114990234,0 +coef_dummy_for_walking_to_all_stops_othmaint,-2.2984130311760791,-2.2984130311760791,-1.4328999519348145,0 +coef_dummy_for_walking_to_all_stops_school,-1.5166153192565364,-1.5166153192565364,-1.8163000345230103,0 +coef_dummy_for_walking_to_all_stops_shopping,-1.8770352536650028,-1.8770352536650028,-1.4908000230789185,0 +coef_dummy_for_walking_to_all_stops_social,-2.069393000920547,-2.069393000920547,-1.7300000190734863,0 +coef_evening_arrival_19_00_interacted_with_return_tours,0.606474995858996,0.606474995858996,0.31000000238418579,0 +coef_hh_accesibility_for_inbound_tours_interaction,0.24072323322804254,0.24072323322804254,0.24809999763965607,0 +coef_high_income_hh,0.23999999463558197,0.23999999463558197,0.23999999463558197,0 +coef_mid_to_high_income_hh,0.23000000417232513,0.23000000417232513,0.23000000417232513,0 +coef_middle_to_low_income_hh,0.17000000178813934,0.17000000178813934,0.17000000178813934,0 +coef_middle_to_low_income_hh_,0.17000000178813934,0.17000000178813934,0.17000000178813934,0 +coef_middle_to_low_income_hh__atwork,0.5862265411484473,0.5862265411484473,0.44999998807907104,0 +coef_no_stops_if_tour_mode_is_drivetransit,-999,-999,-999,0 +coef_num_kids_between_5_and_15_including_years_old,0.091794962859674076,0.091794962859674076,0.079999998211860657,0 +coef_num_kids_between_5_and_15_including_years_old_shopping,-0.041937522351757225,-0.041937522351757225,0.048200000077486038,0 +coef_number_of_adults_16_years_old_,0.077287692445891232,0.077287692445891232,0.029999999329447746,0 +coef_number_of_cars_number_of_workers,-0.066693087232745682,-0.066693087232745682,0.15999999642372131,0 +coef_number_of_cars_number_of_workers_school,0.29115625638327919,0.29115625638327919,0.53310000896453857,0 +coef_number_of_eating_tours_tours_undertaken_by_the_person,-0.25037573867732094,-0.25037573867732094,-0.2800000011920929,0 +coef_number_of_escort_tours_tours_undertaken_by_the_person,0.09806050880270635,0.09806050880270635,0.20000000298023224,0 +coef_number_of_escort_tours_tours_undertaken_by_the_person_escort,-0.25353945421619623,-0.25353945421619623,-0.15000000596046448,0 +coef_number_of_escort_tours_tours_undertaken_by_the_person_school,2.3120956941836317,2.3120956941836317,1.2365000247955322,0 +coef_number_of_escort_tours_tours_undertaken_by_the_person_univ,1.830804423840976,1.830804423840976,0.90179997682571411,0 +coef_number_of_hh_persons,-0.33185754187761923,-0.33185754187761923,-0.31000000238418579,0 +coef_number_of_hh_persons_escort,-0.17646847789383999,-0.17646847789383999,-0.23999999463558197,0 +coef_number_of_hh_persons_school,-0.59789398459025822,-0.59789398459025822,-0.50599998235702515,0 +coef_number_of_hh_persons_shopping,-0.086269571752504437,-0.086269571752504437,-0.15219999849796295,0 +coef_number_of_hh_persons_univ,-0.3306926246943428,-0.3306926246943428,-0.28270000219345093,0 +coef_number_of_maintenace_tours_tours_undertaken_by_the_person,-0.32592941005324705,-0.32592941005324705,-0.19769999384880066,0 +coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr,-0.63285637282069895,-0.63285637282069895,-0.37149998545646667,0 +coef_number_of_maintenace_tours_undertaken_by_the_houshold,-0.28437497321740485,-0.28437497321740485,-0.046799998730421066,0 +coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,-0.073331456006935747,-0.073331456006935747,-0.46000000834465027,0 +coef_number_of_persons_participating_in_the_tour_return_stops_interaction,0.86868810623690584,0.86868810623690584,0.49039998650550842,0 +coef_number_of_school_tours_tours_undertaken_by_the_person,0.13029516970232355,0.13029516970232355,-1.5499999523162842,0 +coef_number_of_shool_tours_tours_undertaken_by_the_person,-8.132575401995668,-8.132575401995668,-1.4134999513626099,0 +coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr,-0.6130966929400905,-0.6130966929400905,-0.81760001182556152,0 +coef_number_of_shop_tours_undertaken_by_the_houshold,-0.32765232732837346,-0.32765232732837346,-0.05000000074505806,0 +coef_number_of_shop_tours_undertaken_by_the_houshold_shopping,0.14836308529667627,0.14836308529667627,-0.073299996554851532,0 +coef_number_of_shop_tours_undertaken_by_the_person,-0.17448403101684509,-0.17448403101684509,-0.23999999463558197,0 +coef_number_of_shop_tours_undertaken_by_the_person_othdiscr,-0.61731020325001096,-0.61731020325001096,-0.62900000810623169,0 +coef_number_of_shop_tours_undertaken_by_the_person_othmaint,-0.20994314934766711,-0.20994314934766711,-0.14280000329017639,0 +coef_number_of_students_in_hh,0.31655751614649219,0.31655751614649219,0.20999999344348907,0 +coef_number_of_students_in_hh_escort,0.15949746173262461,0.15949746173262461,0.18999999761581421,0 +coef_number_of_subtours_in_the_tour,0.33681763025289185,0.33681763025289185,0.18999999761581421,0 +coef_number_of_university_tours_tours_undertaken_by_the_person,-0.47999998927116394,-0.47999998927116394,-0.47999998927116394,0 +coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint,-0.62519997358322144,-0.62519997358322144,-0.62519997358322144,0 +coef_number_of_university_tours_tours_undertaken_by_the_person_shopping,-0.67089998722076416,-0.67089998722076416,-0.67089998722076416,0 +coef_number_of_vehicles,0.26376160794948833,0.26376160794948833,0.17030000686645508,0 +coef_number_of_vehicles_social,-0.15425969899603631,-0.15425969899603631,-0.18999999761581421,0 +coef_number_of_work_tours_undertaken_by_the_person,-0.17654196807499356,-0.17654196807499356,-0.15000000596046448,0 +coef_number_of_work_tours_undertaken_by_the_person_escort,-0.1509302945890815,-0.1509302945890815,-0.28999999165534973,0 +coef_number_of_work_tours_undertaken_by_the_person_othdiscr,-0.49002581553862051,-0.49002581553862051,-0.61529999971389771,0 +coef_number_of_work_tours_undertaken_by_the_person_othmaint,-0.37756033423406382,-0.37756033423406382,-0.36399999260902405,0 +coef_number_of_work_tours_undertaken_by_the_person_shopping,-0.43906376866089675,-0.43906376866089675,-0.54799997806549072,0 +coef_number_of_work_tours_undertaken_by_the_person_social,-0.0062244254965315264,-0.0062244254965315264,-0.2800000011920929,0 +coef_presence_of_kids_between_0_and_4_including_years_old,0.56347076554717646,0.56347076554717646,0.74000000953674316,0 +coef_presence_of_kids_between_5_and_15_including_years_old,0.1180989290788108,0.1180989290788108,0.25999999046325684,0 +coef_presence_of_kids_between_5_and_15_including_years_old_school,0.02961104507186792,0.02961104507186792,0.32989999651908875,0 +coef_presence_of_kids_between_5_and_15_including_years_old_univ,-0.046419488763570535,-0.046419488763570535,0.68229997158050537,0 +coef_primary_destination_accessibility_log_of_it_,0.17066218967701827,0.17066218967701827,0.18000000715255737,0 +coef_subtour_departure_less_than_or_equal_to_11am,0.26747568517112724,0.26747568517112724,0.31000000238418579,0 +coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_,-0.15255084910340322,-0.15255084910340322,0.019999999552965164,0 +coef_subtour_duration_in_hours_integer_,0.68168671797342328,0.68168671797342328,0.56000000238418579,0 +coef_subtour_return_time_greater_or_equal_to_2pm,1.5553971310301449,1.5553971310301449,0.34000000357627869,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_stop_frequency_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_stop_frequency_loglike.csv index c88803278..d60deb239 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_stop_frequency_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_stop_frequency_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-6184.4158915598673,-6090.2588006296801 +0,-6184.4158913795764,-6090.2665603871901 diff --git a/activitysim/estimation/test/test_larch_estimation/test_tour_and_subtour_mode_choice.csv b/activitysim/estimation/test/test_larch_estimation/test_tour_and_subtour_mode_choice.csv index eb7dd67ad..8d8064cbb 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_tour_and_subtour_mode_choice.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_tour_and_subtour_mode_choice.csv @@ -1,302 +1,302 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -bike_ASC_auto_deficient_eatout,-95.05184217157273,-1.5691105999999999,0,,,-95.05184217157273 -bike_ASC_auto_sufficient_eatout,-1.464117844170342,-1.2003470999999999,0,,,-1.464117844170342 -bike_ASC_no_auto_eatout,7.2018489969700603,0.86807095999999995,0,,,7.2018489969700603 -coef_age010_trn_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work,0.71970855821176882,0,0,,,0.71970855821176882 -coef_age1619_da_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work,-0.019079686463276232,0,0,,,-0.019079686463276232 -coef_age16p_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social,-1.1399641109136807,-1.3660000000000001,0,,,-1.1399641109136807 -coef_hhsize1_sr_multiplier_eatout_escort_othdiscr_othmaint_school_shopping_social_univ_atwork,0.020999157406492247,0,0,,,0.020999157406492247 -coef_hhsize2_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work_atwork,-0.0039274834138578957,0,0,,,-0.0039274834138578957 -coef_ivt_eatout_escort_othdiscr_othmaint_shopping_social,-0.016936905425988552,-0.017500000000000002,0,,,-0.016936905425988552 -coef_nest_AUTO,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_AUTO_DRIVEALONE,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_AUTO_SHAREDRIDE2,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_AUTO_SHAREDRIDE3,0.34999999999999998,0.34999999999999998,1,0.34999999999999998,0.34999999999999998,0.34999999999999998 -coef_nest_NONMOTORIZED,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_RIDEHAIL,0.35999999999999999,0.35999999999999999,1,0.35999999999999999,0.35999999999999999,0.35999999999999999 -coef_nest_TRANSIT,0.71999999999999997,0.71999999999999997,1,0.71999999999999997,0.71999999999999997,0.71999999999999997 -coef_nest_TRANSIT_DRIVEACCESS,0.5,0.5,1,0.5,0.5,0.5 -coef_nest_TRANSIT_WALKACCESS,0.5,0.5,1,0.5,0.5,0.5 -commuter_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-38.790613234584711,0.72701850000000001,0,,,-38.790613234584711 -drive_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,0.94012379999999995,0.94012379999999995,0,,,0.94012379999999995 -drive_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-25.934367224180519,0.76895475000000002,0,,,-25.934367224180519 -drive_transit_ASC_auto_deficient_eatout,14.683282344019709,0.59980610000000001,0,,,14.683282344019709 -drive_transit_ASC_auto_sufficient_eatout,12.110507359997341,-0.96951586000000001,0,,,12.110507359997341 -drive_transit_ASC_no_auto_all,0,0,0,,,0 -drive_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social,0.5534042664919846,0.52500000000000002,0,,,0.5534042664919846 -express_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-61.526574455540178,0.96923159999999997,0,,,-61.526574455540178 -heavy_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-11.341188179738285,0.77061210000000002,0,,,-11.341188179738285 -joint_bike_ASC_auto_deficient_all,-154.53293340147803,-6.0764149999999999,0,,,-154.53293340147803 -joint_bike_ASC_auto_sufficient_all,-108.23845192023519,-6.3760656999999998,0,,,-108.23845192023519 -joint_bike_ASC_no_auto_all,-47.716366793432869,-2.8671598,0,,,-47.716366793432869 -joint_drive_transit_ASC_auto_deficient_all,-36.092321468347947,-5.9632215000000004,0,,,-36.092321468347947 -joint_drive_transit_ASC_auto_sufficient_all,-24.112388481073179,-8.0452849999999998,0,,,-24.112388481073179 -joint_drive_transit_ASC_no_auto_all,0,0,0,0,0,0 -joint_sr2_ASC_auto_deficient_all,0,0,0,0,0,0 -joint_sr2_ASC_auto_sufficient_all,0,0,0,0,0,0 -joint_sr2_ASC_no_auto_all,0,0,0,0,0,0 -joint_sr3p_ASC_auto_deficient_all,-5.3440373640659899,-1.8841692000000001,0,,,-5.3440373640659899 -joint_sr3p_ASC_auto_sufficient_all,-3.3313993635418799,-2.234826,0,,,-3.3313993635418799 -joint_sr3p_ASC_no_auto_all,0.97681497679456009,0.56306710000000004,0,,,0.97681497679456009 -joint_taxi_ASC_auto_deficient_all,-45.521802684568371,-9.8156999999999996,0,,,-45.521802684568371 -joint_taxi_ASC_auto_sufficient_all,-11.709899999999999,-11.709899999999999,0,-11.709899999999999,-11.709899999999999,-11.709899999999999 -joint_taxi_ASC_no_auto_all,-12.836772689761483,-4.5792000000000002,0,,,-12.836772689761483 -joint_tnc_shared_ASC_auto_deficient_all,-37.818891366620065,-11.1572,0,,,-37.818891366620065 -joint_tnc_shared_ASC_auto_sufficient_all,-13.205,-13.205,0,-13.205,-13.205,-13.205 -joint_tnc_shared_ASC_no_auto_all,-24.544220954818456,-4.3002000000000002,0,,,-24.544220954818456 -joint_tnc_single_ASC_auto_deficient_all,-51.742391051044301,-9.8961000000000006,0,,,-51.742391051044301 -joint_tnc_single_ASC_auto_sufficient_all,-14.0159,-14.0159,0,-14.0159,-14.0159,-14.0159 -joint_tnc_single_ASC_no_auto_all,-16.690109945634145,-4.4916999999999998,0,,,-16.690109945634145 -joint_walk_ASC_auto_deficient_all,-1.3109169286458668,-1.9607706,0,,,-1.3109169286458668 -joint_walk_ASC_auto_sufficient_all,-3.6267323534729816,-3.2352156999999999,0,,,-3.6267323534729816 -joint_walk_ASC_no_auto_all,0.96782165602250947,-0.21274700999999999,0,,,0.96782165602250947 -joint_walk_transit_ASC_auto_deficient_all,4.47692459281539,-5.1634482999999998,0,,,4.47692459281539 -joint_walk_transit_ASC_auto_sufficient_all,-18.266087843452436,-18.264534000000001,0,,,-18.266087843452436 -joint_walk_transit_ASC_no_auto_all,13.576834007614055,0.62292415000000001,0,,,13.576834007614055 -local_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-12.586753852403735,-0.090703264000000006,0,,,-12.586753852403735 -sr2_ASC_auto_deficient_eatout,0.23544005287595454,0.58823449999999999,0,,,0.23544005287595454 -sr2_ASC_auto_sufficient_eatout,0.45709380576692815,0.86280555000000003,0,,,0.45709380576692815 -sr2_ASC_no_auto_all,5.3017687689662525,0,0,,,5.3017687689662525 -sr3p_ASC_auto_deficient_eatout,-0.084427303598265835,0.046052360000000001,0,,,-0.084427303598265835 -sr3p_ASC_auto_sufficient_eatout,0.5022326090064464,0.84685960000000005,0,,,0.5022326090064464 -sr3p_ASC_no_auto_eatout,5.8000711004385348,0.3219998,0,,,5.8000711004385348 -taxi_ASC_auto_deficient_eatout_othdiscr_social,-34.267917620077426,-3.1316999999999999,0,,,-34.267917620077426 -taxi_ASC_auto_sufficient_eatout_othdiscr_social,-2.3771385102751132,-3.0373999999999999,0,,,-2.3771385102751132 -taxi_ASC_no_auto_eatout_othdiscr_social,-25.802108248945846,0.99229999999999996,0,,,-25.802108248945846 -tnc_shared_ASC_auto_deficient_eatout_othdiscr_social,-2.9229081712184213,-4.3575999999999997,0,,,-2.9229081712184213 -tnc_shared_ASC_auto_sufficient_eatout_othdiscr_social,-3.4681630975727953,-3.6638000000000002,0,,,-3.4681630975727953 -tnc_shared_ASC_no_auto_eatout_othdiscr_social,5.5019116236636574,0.64639999999999997,0,,,5.5019116236636574 -tnc_single_ASC_auto_deficient_eatout_othdiscr_social,-30.032668619901013,-2.9622999999999999,0,,,-30.032668619901013 -tnc_single_ASC_auto_sufficient_eatout_othdiscr_social,-2.0882587225999232,-2.3239000000000001,0,,,-2.0882587225999232 -tnc_single_ASC_no_auto_eatout_othdiscr_social,6.6972430765281166,1.6852,0,,,6.6972430765281166 -walk_ASC_auto_deficient_eatout,2.9644622570813723,3.2746050000000002,0,,,2.9644622570813723 -walk_ASC_auto_sufficient_eatout,0.80408030631941008,1.5516903,0,,,0.80408030631941008 -walk_ASC_no_auto_eatout,10.214310524095858,5.1251173000000003,0,,,10.214310524095858 -walk_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,0.94012379999999995,0.94012379999999995,0,,,0.94012379999999995 -walk_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-11.57159128546653,0.76895475000000002,0,,,-11.57159128546653 -walk_transit_ASC_auto_deficient_eatout,12.342017037167501,-0.038963240000000003,0,,,12.342017037167501 -walk_transit_ASC_auto_sufficient_eatout,10.754005322077003,-1.1126906000000001,0,,,10.754005322077003 -walk_transit_ASC_no_auto_eatout,20.50374109308898,2.5936368000000001,0,,,20.50374109308898 -walk_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social,0.69084760274299939,0.52500000000000002,0,,,0.69084760274299939 -bike_ASC_auto_deficient_escort,-80.815682010385316,-4.5279280000000002,0,,,-80.815682010385316 -bike_ASC_auto_sufficient_escort,-4.2321601413248553,-5.0631084,0,,,-4.2321601413248553 -bike_ASC_no_auto_escort,-82.613015375494186,-0.71621199999999996,0,,,-82.613015375494186 -drive_transit_ASC_auto_deficient_escort,12.026459792966101,-1.1537067000000001,0,,,12.026459792966101 -drive_transit_ASC_auto_sufficient_escort,-38.422040468436286,-4.6014246999999999,0,,,-38.422040468436286 -sr2_ASC_auto_deficient_escort,-0.028872449257253224,0,0,,,-0.028872449257253224 -sr2_ASC_auto_sufficient_escort,-0.44574542118914673,0,0,,,-0.44574542118914673 -sr3p_ASC_auto_deficient_escort,-0.24177007008960669,-0.40818766000000001,0,,,-0.24177007008960669 -sr3p_ASC_auto_sufficient_escort,-0.57332666707255331,-0.057412530000000003,0,,,-0.57332666707255331 -sr3p_ASC_no_auto_escort,-48.558116584856315,-1.8129267,0,,,-48.558116584856315 -taxi_ASC_auto_deficient_escort_othmaint_shopping,0.22119642025031605,0.17660000000000001,0,,,0.22119642025031605 -taxi_ASC_auto_sufficient_escort_othmaint_shopping,-1.8747078913779172,-1.8055000000000001,0,,,-1.8747078913779172 -taxi_ASC_no_auto_escort_othmaint_shopping,7.3609237955139406,1.8938999999999999,0,,,7.3609237955139406 -tnc_shared_ASC_auto_deficient_escort_othmaint_shopping,-0.24413343003260302,-0.38629999999999998,0,,,-0.24413343003260302 -tnc_shared_ASC_auto_sufficient_escort_othmaint_shopping,-2.7057545852498914,-2.4365000000000001,0,,,-2.7057545852498914 -tnc_shared_ASC_no_auto_escort_othmaint_shopping,6.659950525915475,0.93610000000000004,0,,,6.659950525915475 -tnc_single_ASC_auto_deficient_escort_othmaint_shopping,0.8961844796143621,0.67479999999999996,0,,,0.8961844796143621 -tnc_single_ASC_auto_sufficient_escort_othmaint_shopping,-1.7457428565324109,-1.45,0,,,-1.7457428565324109 -tnc_single_ASC_no_auto_escort_othmaint_shopping,7.4428007891764407,1.8605,0,,,7.4428007891764407 -walk_ASC_auto_deficient_escort,-103.0336443777916,-0.90204656000000005,0,,,-103.0336443777916 -walk_ASC_auto_sufficient_escort,-2.1951400279195017,-0.81160659999999996,0,,,-2.1951400279195017 -walk_ASC_no_auto_escort,7.3688522520263184,2.8012068000000001,0,,,7.3688522520263184 -walk_transit_ASC_auto_deficient_escort,8.7582882394391213,-4.9607039999999998,0,,,8.7582882394391213 -walk_transit_ASC_auto_sufficient_escort,7.5679819008069709,-4.9348470000000004,0,,,7.5679819008069709 -walk_transit_ASC_no_auto_escort,-44.292550039991539,-2.2172081000000001,0,,,-44.292550039991539 -bike_ASC_auto_deficient_othdiscr,0.22855250662092905,-0.092468339999999996,0,,,0.22855250662092905 -bike_ASC_auto_sufficient_othdiscr,-1.9167540400011813,-1.0714596999999999,0,,,-1.9167540400011813 -bike_ASC_no_auto_othdiscr,5.4577562038310869,-0.37642320000000001,0,,,5.4577562038310869 -drive_transit_ASC_auto_deficient_othdiscr,-61.370153497008388,0.31993080000000002,0,,,-61.370153497008388 -drive_transit_ASC_auto_sufficient_othdiscr,11.330970889251063,-0.37859169999999998,0,,,11.330970889251063 -sr2_ASC_auto_deficient_othdiscr,0.73863776841688022,0.6601513,0,,,0.73863776841688022 -sr2_ASC_auto_sufficient_othdiscr,0.1229837233438586,0.49684616999999998,0,,,0.1229837233438586 -sr3p_ASC_auto_deficient_othdiscr,0.935476440999231,1.0470965999999999,0,,,0.935476440999231 -sr3p_ASC_auto_sufficient_othdiscr,0.24598820830201615,0.58850205,0,,,0.24598820830201615 -sr3p_ASC_no_auto_othdiscr,6.4061820861081387,0.27216901999999998,0,,,6.4061820861081387 -walk_ASC_auto_deficient_othdiscr,1.6258274516143363,2.2494074999999998,0,,,1.6258274516143363 -walk_ASC_auto_sufficient_othdiscr,1.0941805514117351,1.2633475999999999,0,,,1.0941805514117351 -walk_ASC_no_auto_othdiscr,8.7710297682817657,3.2665945999999999,0,,,8.7710297682817657 -walk_transit_ASC_auto_deficient_othdiscr,13.266819655208037,0.95308839999999995,0,,,13.266819655208037 -walk_transit_ASC_auto_sufficient_othdiscr,11.302586771209716,-0.80636792999999996,0,,,11.302586771209716 -walk_transit_ASC_no_auto_othdiscr,20.427662059570103,2.2437784999999999,0,,,20.427662059570103 -bike_ASC_auto_deficient_othmaint,-1.5527604047004422,-1.5184648999999999,0,,,-1.5527604047004422 -bike_ASC_auto_sufficient_othmaint,-2.4841948233012818,-2.8083024000000001,0,,,-2.4841948233012818 -bike_ASC_no_auto_othmaint,7.0881917223708513,1.5394334000000001,0,,,7.0881917223708513 -drive_transit_ASC_auto_deficient_othmaint,-65.867616159128147,-0.29943228,0,,,-65.867616159128147 -drive_transit_ASC_auto_sufficient_othmaint,-32.152894844805871,-2.6249478000000002,0,,,-32.152894844805871 -sr2_ASC_auto_deficient_othmaint,-0.17432511879711185,0.26215270000000002,0,,,-0.17432511879711185 -sr2_ASC_auto_sufficient_othmaint,0.22153081726667476,0.25817883000000003,0,,,0.22153081726667476 -sr3p_ASC_auto_deficient_othmaint,-1.7678027401708742,-1.3493925,0,,,-1.7678027401708742 -sr3p_ASC_auto_sufficient_othmaint,-0.25110618149419051,-0.075498670000000004,0,,,-0.25110618149419051 -sr3p_ASC_no_auto_othmaint,4.5931064543486562,-0.80318540000000005,0,,,4.5931064543486562 -walk_ASC_auto_deficient_othmaint,1.8335810139202195,1.3690404,0,,,1.8335810139202195 -walk_ASC_auto_sufficient_othmaint,0.88973692144242589,0.79996339999999999,0,,,0.88973692144242589 -walk_ASC_no_auto_othmaint,6.2906587601839359,1.287299,0,,,6.2906587601839359 -walk_transit_ASC_auto_deficient_othmaint,9.407080733783447,-3.0597257999999998,0,,,9.407080733783447 -walk_transit_ASC_auto_sufficient_othmaint,10.958165434769871,-1.5471172,0,,,10.958165434769871 -walk_transit_ASC_no_auto_othmaint,20.617092448325504,2.5643455999999998,0,,,20.617092448325504 -bike_ASC_auto_deficient_school,-0.41778199451832254,-0.52806779999999998,0,,,-0.41778199451832254 -bike_ASC_auto_sufficient_school,-3.5078886893560863,-2.1134686,0,,,-3.5078886893560863 -bike_ASC_no_auto_school,-28.724176190313326,12.098735,0,,,-28.724176190313326 -coef_age010_trn_multiplier_school_univ,-1.1120244370243391,-1.5548,0,,,-1.1120244370243391 -coef_age1619_da_multiplier_school_univ,-1.5951711270563249,-1.3813,0,,,-1.5951711270563249 -coef_age16p_sr_multiplier_school_univ_work_atwork,-0.72100839095028546,0,0,,,-0.72100839095028546 -coef_hhsize2_sr_multiplier_school_univ,-0.53400766253899179,-0.63590000000000002,0,,,-0.53400766253899179 -coef_ivt_school_univ,-0.021192297603561172,-0.0224,0,,,-0.021192297603561172 -commuter_rail_ASC_school_univ,-32.353210620182892,1.0336205999999999,0,,,-32.353210620182892 -drive_ferry_ASC_school_univ,2.0202317000000001,2.0202317000000001,0,,,2.0202317000000001 -drive_light_rail_ASC_school_univ,-19.108400881329299,1.6814003,0,,,-19.108400881329299 -drive_transit_ASC_auto_deficient_school,-95.982095698903436,5.3252654000000001,0,,,-95.982095698903436 -drive_transit_ASC_auto_sufficient_school,-46.151623937860776,1.4013500000000001,0,,,-46.151623937860776 -drive_transit_CBD_ASC_school_univ,62.459413404223476,0.67200000000000004,0,,,62.459413404223476 -express_bus_ASC_school_univ,0.32496937999999997,0.32496937999999997,0,,,0.32496937999999997 -heavy_rail_ASC_school_univ,-12.380133019206522,0.96200377000000004,0,,,-12.380133019206522 -local_bus_ASC_school_univ,-13.872178494981991,-0.065086210000000005,0,,,-13.872178494981991 -sr2_ASC_auto_deficient_school,0.11627333557951013,0.12474365,0,,,0.11627333557951013 -sr2_ASC_auto_sufficient_school,-1.6466117937376035,-1.6062657,0,,,-1.6466117937376035 -sr3p_ASC_auto_deficient_school,0.72079329001052006,0.71495710000000001,0,,,0.72079329001052006 -sr3p_ASC_auto_sufficient_school,-1.1869716638057384,-1.0201935,0,,,-1.1869716638057384 -sr3p_ASC_no_auto_school,-6.0240829874137232,-6.0240827000000001,0,,,-6.0240829874137232 -taxi_ASC_auto_deficient_school,1.5929016972992514,-0.33379999999999999,0,,,1.5929016972992514 -taxi_ASC_auto_sufficient_school,-1.6320342977823235,-2.4293999999999998,0,,,-1.6320342977823235 -taxi_ASC_no_auto_school_univ,-7,-7,0,-7,-7,-7 -tnc_shared_ASC_auto_deficient_school,0.96832753972334895,-1.4745999999999999,0,,,0.96832753972334895 -tnc_shared_ASC_auto_sufficient_school,-2.7739120530297634,-3.7219000000000002,0,,,-2.7739120530297634 -tnc_shared_ASC_no_auto_school,-7,-7,0,-7,-7,-7 -tnc_single_ASC_auto_deficient_school,-3.3648846265737218,-0.5524,0,,,-3.3648846265737218 -tnc_single_ASC_auto_sufficient_school,-2.3704008497944398,-2.8374999999999999,0,,,-2.3704008497944398 -tnc_single_ASC_no_auto_school,-7,-7,0,-7,-7,-7 -walk_ASC_auto_deficient_school,3.2349172133905824,3.2573623999999999,0,,,3.2349172133905824 -walk_ASC_auto_sufficient_school,0.69222756273388997,0.64768559999999997,0,,,0.69222756273388997 -walk_ASC_no_auto_school,31.884868503149736,18.414556999999999,0,,,31.884868503149736 -walk_ferry_ASC_school_univ,2.0202317000000001,2.0202317000000001,0,,,2.0202317000000001 -walk_light_rail_ASC_school_univ,-12.140651343565191,1.6814003,0,,,-12.140651343565191 -walk_transit_ASC_auto_deficient_school,17.064091325381543,4.1207079999999996,0,,,17.064091325381543 -walk_transit_ASC_auto_sufficient_school,14.160601613148902,0.74590873999999996,0,,,14.160601613148902 -walk_transit_ASC_no_auto_school,48.738094718979411,21.383749000000002,0,,,48.738094718979411 -walk_transit_CBD_ASC_school_univ,0.78788966521195125,0.67200000000000004,0,,,0.78788966521195125 -bike_ASC_auto_deficient_shopping,-0.98208504158712495,-0.87584466000000005,0,,,-0.98208504158712495 -bike_ASC_auto_sufficient_shopping,-4.7656989395473435,-2.5662102999999998,0,,,-4.7656989395473435 -bike_ASC_no_auto_shopping,6.3473397917421011,0.83415550000000005,0,,,6.3473397917421011 -drive_transit_ASC_auto_deficient_shopping,-69.120302733575414,-0.41849177999999998,0,,,-69.120302733575414 -drive_transit_ASC_auto_sufficient_shopping,-74.360368326848842,-2.1718937999999999,0,,,-74.360368326848842 -sr2_ASC_auto_deficient_shopping,0.34099442656713952,0.24409755999999999,0,,,0.34099442656713952 -sr2_ASC_auto_sufficient_shopping,0.14451282933821491,0.19770707000000001,0,,,0.14451282933821491 -sr3p_ASC_auto_deficient_shopping,-0.26249087797911946,-0.073370166000000001,0,,,-0.26249087797911946 -sr3p_ASC_auto_sufficient_shopping,-0.2963226415957782,-0.077571294999999998,0,,,-0.2963226415957782 -sr3p_ASC_no_auto_shopping,5.6484952721990362,-0.27978947999999998,0,,,5.6484952721990362 -walk_ASC_auto_deficient_shopping,2.8036057394781277,2.2701733000000002,0,,,2.8036057394781277 -walk_ASC_auto_sufficient_shopping,0.47346256501524292,0.73126630000000004,0,,,0.47346256501524292 -walk_ASC_no_auto_shopping,8.2155350323455529,2.3768772999999999,0,,,8.2155350323455529 -walk_transit_ASC_auto_deficient_shopping,11.256552971319946,-0.84765690000000005,0,,,11.256552971319946 -walk_transit_ASC_auto_sufficient_shopping,9.7542972055490029,-2.2036798000000002,0,,,9.7542972055490029 -walk_transit_ASC_no_auto_shopping,19.703542063063956,2.1067475999999998,0,,,19.703542063063956 -bike_ASC_auto_deficient_social,-0.26949163972926454,0.63452140000000001,0,,,-0.26949163972926454 -bike_ASC_auto_sufficient_social,-0.85401921523485835,-1.368071,0,,,-0.85401921523485835 -bike_ASC_no_auto_social,5.5137426913975727,0.020583210000000001,0,,,5.5137426913975727 -drive_transit_ASC_auto_deficient_social,-52.758046290102875,1.5627195,0,,,-52.758046290102875 -drive_transit_ASC_auto_sufficient_social,-47.996801808437127,-0.61585575000000004,0,,,-47.996801808437127 -sr2_ASC_auto_deficient_social,1.429304838044295,1.8558528000000001,0,,,1.429304838044295 -sr2_ASC_auto_sufficient_social,0.97730089864256342,0.52360249999999997,0,,,0.97730089864256342 -sr3p_ASC_auto_deficient_social,0.67630143929989783,1.5007242999999999,0,,,0.67630143929989783 -sr3p_ASC_auto_sufficient_social,0.75744513577301464,0.50617886000000001,0,,,0.75744513577301464 -sr3p_ASC_no_auto_social,3.972071101285167,-1.4036902,0,,,3.972071101285167 -walk_ASC_auto_deficient_social,3.1688988708714376,2.8701840000000001,0,,,3.1688988708714376 -walk_ASC_auto_sufficient_social,2.6607837167356201,1.7072186,0,,,2.6607837167356201 -walk_ASC_no_auto_social,6.4445317299061999,1.8680915,0,,,6.4445317299061999 -walk_transit_ASC_auto_deficient_social,12.875988741851154,0.97444487000000002,0,,,12.875988741851154 -walk_transit_ASC_auto_sufficient_social,12.613259624057664,-0.34537590000000001,0,,,12.613259624057664 -walk_transit_ASC_no_auto_social,18.966818965194228,1.3814651,0,,,18.966818965194228 -bike_ASC_auto_deficient_univ,-0.66923500000000002,-0.66923500000000002,0,,,-0.66923500000000002 -bike_ASC_auto_sufficient_univ,-1.9397831999999999,-1.9397831999999999,0,,,-1.9397831999999999 -bike_ASC_no_auto_univ,4.2945156000000004,4.2945156000000004,0,,,4.2945156000000004 -drive_transit_ASC_auto_deficient_univ,1.8501175999999999,1.8501175999999999,0,,,1.8501175999999999 -drive_transit_ASC_auto_sufficient_univ,1.3587753,1.3587753,0,,,1.3587753 -sr2_ASC_auto_deficient_univ,-1.6922345999999999,-1.6922345999999999,0,,,-1.6922345999999999 -sr2_ASC_auto_sufficient_univ,-1.8594269999999999,-1.8594269999999999,0,,,-1.8594269999999999 -sr3p_ASC_auto_deficient_univ,-1.7277422,-1.7277422,0,,,-1.7277422 -sr3p_ASC_auto_sufficient_univ,-1.9047098,-1.9047098,0,,,-1.9047098 -sr3p_ASC_no_auto_univ,-6.0560010000000002,-6.0560010000000002,0,,,-6.0560010000000002 -taxi_ASC_auto_deficient_univ,4.2492000000000001,4.2492000000000001,0,,,4.2492000000000001 -taxi_ASC_auto_sufficient_univ,-0.31309999999999999,-0.31309999999999999,0,,,-0.31309999999999999 -tnc_shared_ASC_auto_deficient_univ,3.25,3.25,0,,,3.25 -tnc_shared_ASC_auto_sufficient_univ,-0.90680000000000005,-0.90680000000000005,0,,,-0.90680000000000005 -tnc_shared_ASC_no_auto_univ,-5.8116000000000003,-5.8116000000000003,0,,,-5.8116000000000003 -tnc_single_ASC_auto_deficient_univ,1.0221,1.0221,0,,,1.0221 -tnc_single_ASC_auto_sufficient_univ,0.20880000000000001,0.20880000000000001,0,,,0.20880000000000001 -tnc_single_ASC_no_auto_univ,-2.5190000000000001,-2.5190000000000001,0,,,-2.5190000000000001 -walk_ASC_auto_deficient_univ,4.5059100000000001,4.5059100000000001,0,,,4.5059100000000001 -walk_ASC_auto_sufficient_univ,1.0607664999999999,1.0607664999999999,0,,,1.0607664999999999 -walk_ASC_no_auto_univ,6.4089669999999996,6.4089669999999996,0,,,6.4089669999999996 -walk_transit_ASC_auto_deficient_univ,3.1362554999999999,3.1362554999999999,0,,,3.1362554999999999 -walk_transit_ASC_auto_sufficient_univ,0.47311629999999999,0.47311629999999999,0,,,0.47311629999999999 -walk_transit_ASC_no_auto_univ,8.7860370000000003,8.7860370000000003,0,,,8.7860370000000003 -bike_ASC_auto_deficient_work,0.1093970633711833,0.25318967999999997,0,,,0.1093970633711833 -bike_ASC_auto_sufficient_work,-1.7147321677779845,-1.5800232000000001,0,,,-1.7147321677779845 -bike_ASC_no_auto_work,7.916152782688358,3.1940088000000002,0,,,7.916152782688358 -coef_hhsize1_sr_multiplier_work,-0.6790273309383883,-0.73458800000000002,0,,,-0.6790273309383883 -coef_ivt_work,-0.013061382875350648,-0.0134,0,,,-0.013061382875350648 -commuter_rail_ASC_work,12.116488014803043,0.72550300000000001,0,,,12.116488014803043 -drive_ferry_ASC_work,0.93322605000000003,0.93322605000000003,0,,,0.93322605000000003 -drive_light_rail_ASC_work,-36.000808246088518,0.82555670000000003,0,,,-36.000808246088518 -drive_transit_ASC_auto_deficient_work,-10.817730116154191,0.10081567,0,,,-10.817730116154191 -drive_transit_ASC_auto_sufficient_work,-11.922033211338155,-1.0045459000000001,0,,,-11.922033211338155 -drive_transit_CBD_ASC_work,1.4326312016814422,1.1000000000000001,0,,,1.4326312016814422 -express_bus_ASC_work,-54.606930216243668,-0.51654739999999999,0,,,-54.606930216243668 -heavy_rail_ASC_work,11.025029288750547,0.64772974999999999,0,,,11.025029288750547 -local_bus_ASC_work,10.288307853536837,0.066895070000000001,0,,,10.288307853536837 -sr2_ASC_auto_deficient_work,0.46312369609634996,-0.33803123000000002,0,,,0.46312369609634996 -sr2_ASC_auto_sufficient_work,-0.39096777455191095,-1.0857458,0,,,-0.39096777455191095 -sr3p_ASC_auto_deficient_work,-0.050072021249821817,-0.85270420000000002,0,,,-0.050072021249821817 -sr3p_ASC_auto_sufficient_work,-0.71640219472524347,-1.4699701999999999,0,,,-0.71640219472524347 -sr3p_ASC_no_auto_work,5.2865327465387555,-0.5831269,0,,,5.2865327465387555 -taxi_ASC_auto_deficient_work,-1.3594600760328026,-1.4765999999999999,0,,,-1.3594600760328026 -taxi_ASC_auto_sufficient_work,-55.988330866418792,-4.8509000000000002,0,,,-55.988330866418792 -taxi_ASC_no_auto_work,9.43236827804283,4.7290999999999999,0,,,9.43236827804283 -tnc_shared_ASC_auto_deficient_work,-2.4348067005945464,-2.1435,0,,,-2.4348067005945464 -tnc_shared_ASC_auto_sufficient_work,-63.386791172965488,-5.3574999999999999,0,,,-63.386791172965488 -tnc_shared_ASC_no_auto_work,-47.309135186133922,3.2429000000000001,0,,,-47.309135186133922 -tnc_single_ASC_auto_deficient_work,-0.78812679103952732,-0.80130000000000001,0,,,-0.78812679103952732 -tnc_single_ASC_auto_sufficient_work,-4.8755977035592224,-4.1946000000000003,0,,,-4.8755977035592224 -tnc_single_ASC_no_auto_work,10.295672942342067,5.7854999999999999,0,,,10.295672942342067 -walk_ASC_auto_deficient_work,2.1275102930594469,2.4010416999999999,0,,,2.1275102930594469 -walk_ASC_auto_sufficient_work,0.17637095807617828,0.053265337000000003,0,,,0.17637095807617828 -walk_ASC_no_auto_work,10.356832861443557,5.7672157000000004,0,,,10.356832861443557 -walk_ferry_ASC_work,0.93322605000000003,0.93322605000000003,0,,,0.93322605000000003 -walk_light_rail_ASC_work,11.204407103182628,0.82555670000000003,0,,,11.204407103182628 -walk_transit_ASC_auto_deficient_work,-9.7699412444923333,0.65302855000000004,0,,,-9.7699412444923333 -walk_transit_ASC_auto_sufficient_work,-11.327002198633336,-0.89165070000000002,0,,,-11.327002198633336 -walk_transit_ASC_no_auto_work,-0.8184290314119107,5.0354165999999996,0,,,-0.8184290314119107 -walk_transit_CBD_ASC_work,0.97698021606324725,0.80400000000000005,0,,,0.97698021606324725 -bike_ASC_auto_deficient_atwork,-1.3755365229511889,-0.80740829999999997,0,,,-1.3755365229511889 -bike_ASC_auto_sufficient_atwork,15.727786619761421,15.72017,0,,,15.727786619761421 -bike_ASC_no_auto_atwork,-28.399708381108002,-0.90725845000000005,0,,,-28.399708381108002 -coef_age010_trn_multiplier_atwork,0.00072199999999999999,0.00072199999999999999,0,,,0.00072199999999999999 -coef_age1619_da_multiplier_atwork,-0.80694718452625747,0.0032336000000000001,0,,,-0.80694718452625747 -coef_ivt_atwork,-0.021019454866270101,-0.018800000000000001,0,,,-0.021019454866270101 -drive_transit_ASC_auto_deficient_atwork,-998.81960000000004,-998.81960000000004,0,,,-998.81960000000004 -drive_transit_ASC_auto_sufficient_atwork,-999.21465999999998,-999.21465999999998,0,,,-999.21465999999998 -drive_transit_CBD_ASC_atwork,0.56399999999999995,0.56399999999999995,0,,,0.56399999999999995 -sr2_ASC_auto_deficient_atwork,-1.892695657391221,-2.1102420999999998,0,,,-1.892695657391221 -sr2_ASC_auto_sufficient_atwork,-0.65249983963035285,-1.4450618,0,,,-0.65249983963035285 -sr3p_ASC_auto_deficient_atwork,-2.383158561544211,-2.5146579999999998,0,,,-2.383158561544211 -sr3p_ASC_auto_sufficient_atwork,-0.82204450780308591,-1.652174,0,,,-0.82204450780308591 -sr3p_ASC_no_auto_atwork,6.2362869423849405,0.58266260000000003,0,,,6.2362869423849405 -taxi_ASC_auto_deficient_atwork,-28.540908119718239,-4.4046000000000003,0,,,-28.540908119718239 -taxi_ASC_auto_sufficient_atwork,-28.643971281649424,-2.8803999999999998,0,,,-28.643971281649424 -taxi_ASC_no_auto_atwork,10.212879604829233,4.1021000000000001,0,,,10.212879604829233 -tnc_shared_ASC_auto_deficient_atwork,-3.912212918042727,-4.5088999999999997,0,,,-3.912212918042727 -tnc_shared_ASC_auto_sufficient_atwork,-2.6881377816112022,-3.5396999999999998,0,,,-2.6881377816112022 -tnc_shared_ASC_no_auto_atwork,9.0603158795129275,3.3672,0,,,9.0603158795129275 -tnc_single_ASC_auto_deficient_atwork,-3.1078735470600058,-3.7625999999999999,0,,,-3.1078735470600058 -tnc_single_ASC_auto_sufficient_atwork,-2.6270251391593975,-2.7988,0,,,-2.6270251391593975 -tnc_single_ASC_no_auto_atwork,10.48194785788473,4.4981999999999998,0,,,10.48194785788473 -walk_ASC_auto_deficient_atwork,1.82422508083581,0.92546092999999996,0,,,1.82422508083581 -walk_ASC_auto_sufficient_atwork,1.428722206355812,0.67721600000000004,0,,,1.428722206355812 -walk_ASC_no_auto_atwork,12.824108683156906,6.6692130000000001,0,,,12.824108683156906 -walk_transit_ASC_auto_deficient_atwork,8.9851772342267946,-2.9988291,0,,,8.9851772342267946 -walk_transit_ASC_auto_sufficient_atwork,9.1279962633935359,-3.401027,0,,,9.1279962633935359 -walk_transit_ASC_no_auto_atwork,21.234895822541418,2.7041876,0,,,21.234895822541418 -walk_transit_CBD_ASC_atwork,0.35194949771152162,0.56399999999999995,0,,,0.35194949771152162 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +bike_ASC_auto_deficient_atwork,-1.3785489288550536,-1.3785489288550536,-0.80740827322006226,0 +bike_ASC_auto_deficient_eatout,-13.478289059952681,-13.478289059952681,-1.569110631942749,0 +bike_ASC_auto_deficient_escort,-12.549532816371221,-12.549532816371221,-4.5279278755187988,0 +bike_ASC_auto_deficient_othdiscr,0.23084257669564343,0.23084257669564343,-0.092468343675136566,0 +bike_ASC_auto_deficient_othmaint,-1.5508409145945901,-1.5508409145945901,-1.5184649229049683,0 +bike_ASC_auto_deficient_school,-0.4215455293721031,-0.4215455293721031,-0.52806782722473145,0 +bike_ASC_auto_deficient_shopping,-0.98162820928675221,-0.98162820928675221,-0.87584465742111206,0 +bike_ASC_auto_deficient_social,-0.26248269451457257,-0.26248269451457257,0.63452142477035522,0 +bike_ASC_auto_deficient_univ,-0.6692349910736084,-0.6692349910736084,-0.6692349910736084,0 +bike_ASC_auto_deficient_work,0.10890208866785125,0.10890208866785125,0.25318968296051025,0 +bike_ASC_auto_sufficient_atwork,15.720436744241237,15.720436744241237,15.720170021057129,0 +bike_ASC_auto_sufficient_eatout,-1.4652985888010346,-1.4652985888010346,-1.2003470659255981,0 +bike_ASC_auto_sufficient_escort,-4.2292784418487299,-4.2292784418487299,-5.0631084442138672,0 +bike_ASC_auto_sufficient_othdiscr,-1.9171536174387396,-1.9171536174387396,-1.0714596509933472,0 +bike_ASC_auto_sufficient_othmaint,-2.480889498913136,-2.480889498913136,-2.8083024024963379,0 +bike_ASC_auto_sufficient_school,-3.5085898921949115,-3.5085898921949115,-2.1134686470031738,0 +bike_ASC_auto_sufficient_shopping,-4.7741583038198092,-4.7741583038198092,-2.5662102699279785,0 +bike_ASC_auto_sufficient_social,-0.84654185177446273,-0.84654185177446273,-1.3680709600448608,0 +bike_ASC_auto_sufficient_univ,-1.9397832155227661,-1.9397832155227661,-1.9397832155227661,0 +bike_ASC_auto_sufficient_work,-1.7160300530004202,-1.7160300530004202,-1.5800231695175171,0 +bike_ASC_no_auto_atwork,-3.4373940217027688,-3.4373940217027688,-0.90725845098495483,0 +bike_ASC_no_auto_eatout,2.5630036190317327,2.5630036190317327,0.86807096004486084,0 +bike_ASC_no_auto_escort,-10.607463256083799,-10.607463256083799,-0.71621197462081909,0 +bike_ASC_no_auto_othdiscr,0.81582185622492365,0.81582185622492365,-0.37642320990562439,0 +bike_ASC_no_auto_othmaint,2.4455151268361357,2.4455151268361357,1.5394333600997925,0 +bike_ASC_no_auto_school,8.1256976107813834,8.1256976107813834,12.098734855651855,0 +bike_ASC_no_auto_shopping,1.7027997220715445,1.7027997220715445,0.83415549993515015,0 +bike_ASC_no_auto_social,0.87324419595226233,0.87324419595226233,0.02058321051299572,0 +bike_ASC_no_auto_univ,4.2945156097412109,4.2945156097412109,4.2945156097412109,0 +bike_ASC_no_auto_work,3.288259145708162,3.288259145708162,3.1940088272094727,0 +coef_age010_trn_multiplier_atwork,0.00072200002614408731,0.00072200002614408731,0.00072200002614408731,0 +coef_age010_trn_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work,0.71776731826369955,0.71776731826369955,0,0 +coef_age010_trn_multiplier_school_univ,-1.1170494621014921,-1.1170494621014921,-1.5548000335693359,0 +coef_age1619_da_multiplier_atwork,-0.81723517651260913,-0.81723517651260913,0.0032335999421775341,0 +coef_age1619_da_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work,-0.019963399047300222,-0.019963399047300222,0,0 +coef_age1619_da_multiplier_school_univ,-1.5953290804661184,-1.5953290804661184,-1.3812999725341797,0 +coef_age16p_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social,-1.1377269298937951,-1.1377269298937951,-1.3660000562667847,0 +coef_age16p_sr_multiplier_school_univ_work_atwork,-0.70763139612535009,-0.70763139612535009,0,0 +coef_hhsize1_sr_multiplier_eatout_escort_othdiscr_othmaint_school_shopping_social_univ_atwork,0.020926329864022951,0.020926329864022951,0,0 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+tnc_single_ASC_auto_sufficient_escort_othmaint_shopping,-1.7439251866638874,-1.7439251866638874,-1.4500000476837158,0 +tnc_single_ASC_auto_sufficient_school,-2.378795283304973,-2.378795283304973,-2.8375000953674316,0 +tnc_single_ASC_auto_sufficient_univ,0.20880000293254852,0.20880000293254852,0.20880000293254852,0 +tnc_single_ASC_auto_sufficient_work,-4.8796439361869233,-4.8796439361869233,-4.1946001052856445,0 +tnc_single_ASC_no_auto_atwork,5.868382446572503,5.868382446572503,4.4981999397277832,0 +tnc_single_ASC_no_auto_eatout_othdiscr_social,2.058601711456534,2.058601711456534,1.6851999759674072,0 +tnc_single_ASC_no_auto_escort_othmaint_shopping,2.7993959582491117,2.7993959582491117,1.8604999780654907,0 +tnc_single_ASC_no_auto_school,-7,-7,-7,0 +tnc_single_ASC_no_auto_univ,-2.5190000534057617,-2.5190000534057617,-2.5190000534057617,0 +tnc_single_ASC_no_auto_work,5.6675312824616011,5.6675312824616011,5.7855000495910645,0 +walk_ASC_auto_deficient_atwork,1.8210925632413364,1.8210925632413364,0.92546093463897705,0 +walk_ASC_auto_deficient_eatout,2.9649591418002261,2.9649591418002261,3.2746050357818604,0 +walk_ASC_auto_deficient_escort,-13.769512531812302,-13.769512531812302,-0.9020465612411499,0 +walk_ASC_auto_deficient_othdiscr,1.6274733363939242,1.6274733363939242,2.2494075298309326,0 +walk_ASC_auto_deficient_othmaint,1.8279947844284075,1.8279947844284075,1.3690403699874878,0 +walk_ASC_auto_deficient_school,3.2339563304034473,3.2339563304034473,3.2573623657226562,0 +walk_ASC_auto_deficient_shopping,2.8058704655343694,2.8058704655343694,2.2701733112335205,0 +walk_ASC_auto_deficient_social,3.1684863104981793,3.1684863104981793,2.8701839447021484,0 +walk_ASC_auto_deficient_univ,4.5059099197387695,4.5059099197387695,4.5059099197387695,0 +walk_ASC_auto_deficient_work,2.1268287093168232,2.1268287093168232,2.4010417461395264,0 +walk_ASC_auto_sufficient_atwork,1.4286517853707388,1.4286517853707388,0.67721599340438843,0 +walk_ASC_auto_sufficient_eatout,0.80305835576573759,0.80305835576573759,1.5516903400421143,0 +walk_ASC_auto_sufficient_escort,-2.1981585731262334,-2.1981585731262334,-0.81160658597946167,0 +walk_ASC_auto_sufficient_othdiscr,1.0967272423894308,1.0967272423894308,1.2633476257324219,0 +walk_ASC_auto_sufficient_othmaint,0.88971042840976089,0.88971042840976089,0.79996341466903687,0 +walk_ASC_auto_sufficient_school,0.68722839921502121,0.68722839921502121,0.64768558740615845,0 +walk_ASC_auto_sufficient_shopping,0.47436724640285616,0.47436724640285616,0.7312663197517395,0 +walk_ASC_auto_sufficient_social,2.6647730016556324,2.6647730016556324,1.7072186470031738,0 +walk_ASC_auto_sufficient_univ,1.0607664585113525,1.0607664585113525,1.0607664585113525,0 +walk_ASC_auto_sufficient_work,0.17491465126971134,0.17491465126971134,0.053265336900949478,0 +walk_ASC_no_auto_atwork,8.2102539828822962,8.2102539828822962,6.669212818145752,0 +walk_ASC_no_auto_eatout,5.5759822208817997,5.5759822208817997,5.125117301940918,0 +walk_ASC_no_auto_escort,2.7125215072749826,2.7125215072749826,2.8012068271636963,0 +walk_ASC_no_auto_othdiscr,4.1301524515856975,4.1301524515856975,3.2665946483612061,0 +walk_ASC_no_auto_othmaint,1.6437718725168844,1.6437718725168844,1.2872990369796753,0 +walk_ASC_no_auto_school,18.965223978253537,18.965223978253537,18.414556503295898,0 +walk_ASC_no_auto_shopping,3.5712858700744139,3.5712858700744139,2.3768773078918457,0 +walk_ASC_no_auto_social,1.8061464852559324,1.8061464852559324,1.8680914640426636,0 +walk_ASC_no_auto_univ,6.4089670181274414,6.4089670181274414,6.4089670181274414,0 +walk_ASC_no_auto_work,5.7289551619084005,5.7289551619084005,5.7672157287597656,0 +walk_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,0.9401237964630127,0.9401237964630127,0.9401237964630127,0 +walk_ferry_ASC_school_univ,2.0202317237854004,2.0202317237854004,2.0202317237854004,0 +walk_ferry_ASC_work,0.93322604894638062,0.93322604894638062,0.93322604894638062,0 +walk_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork,-0.4992168746737472,-0.4992168746737472,0.76895475387573242,0 +walk_light_rail_ASC_school_univ,-1.1206738073437195,-1.1206738073437195,1.6814002990722656,0 +walk_light_rail_ASC_work,1.9458205366633916,1.9458205366633916,0.82555669546127319,0 +walk_transit_ASC_auto_deficient_atwork,-2.087745734137894,-2.087745734137894,-2.9988291263580322,0 +walk_transit_ASC_auto_deficient_eatout,1.2702715178798751,1.2702715178798751,-0.038963239639997482,0 +walk_transit_ASC_auto_deficient_escort,-2.3202251183894047,-2.3202251183894047,-4.9607038497924805,0 +walk_transit_ASC_auto_deficient_othdiscr,2.1954218795721774,2.1954218795721774,0.95308840274810791,0 +walk_transit_ASC_auto_deficient_othmaint,-1.660576732282677,-1.660576732282677,-3.0597257614135742,0 +walk_transit_ASC_auto_deficient_school,6.0476599437483385,6.0476599437483385,4.1207079887390137,0 +walk_transit_ASC_auto_deficient_shopping,0.18271202127675085,0.18271202127675085,-0.84765690565109253,0 +walk_transit_ASC_auto_deficient_social,1.8098477542350777,1.8098477542350777,0.97444486618041992,0 +walk_transit_ASC_auto_deficient_univ,3.1362555027008057,3.1362555027008057,3.1362555027008057,0 +walk_transit_ASC_auto_deficient_work,-0.51182083157614933,-0.51182083157614933,0.65302854776382446,0 +walk_transit_ASC_auto_sufficient_atwork,-1.9428971364123397,-1.9428971364123397,-3.4010269641876221,0 +walk_transit_ASC_auto_sufficient_eatout,-0.32161057194919468,-0.32161057194919468,-1.1126905679702759,0 +walk_transit_ASC_auto_sufficient_escort,-3.5001574343284574,-3.5001574343284574,-4.9348468780517578,0 +walk_transit_ASC_auto_sufficient_othdiscr,0.2299689022545045,0.2299689022545045,-0.80636793375015259,0 +walk_transit_ASC_auto_sufficient_othmaint,-0.1129332445243126,-0.1129332445243126,-1.5471172332763672,0 +walk_transit_ASC_auto_sufficient_school,3.1389271957703655,3.1389271957703655,0.74590873718261719,0 +walk_transit_ASC_auto_sufficient_shopping,-1.3189818719692306,-1.3189818719692306,-2.2036798000335693,0 +walk_transit_ASC_auto_sufficient_social,1.5414229264152464,1.5414229264152464,-0.34537589550018311,0 +walk_transit_ASC_auto_sufficient_univ,0.47311630845069885,0.47311630845069885,0.47311630845069885,0 +walk_transit_ASC_auto_sufficient_work,-2.068884016996956,-2.068884016996956,-0.89165067672729492,0 +walk_transit_ASC_no_auto_atwork,5.5473795796852494,5.5473795796852494,2.7041876316070557,0 +walk_transit_ASC_no_auto_eatout,4.7919626958724812,4.7919626958724812,2.5936367511749268,0 +walk_transit_ASC_no_auto_escort,-6.3455503549741206,-6.3455503549741206,-2.2172081470489502,0 +walk_transit_ASC_no_auto_othdiscr,4.7143623015036109,4.7143623015036109,2.2437784671783447,0 +walk_transit_ASC_no_auto_othmaint,4.9031528637634745,4.9031528637634745,2.5643455982208252,0 +walk_transit_ASC_no_auto_school,24.806205948504321,24.806205948504321,21.383749008178711,0 +walk_transit_ASC_no_auto_shopping,3.9873866943560854,3.9873866943560854,2.1067476272583008,0 +walk_transit_ASC_no_auto_social,3.2552848716526133,3.2552848716526133,1.3814650774002075,0 +walk_transit_ASC_no_auto_univ,8.7860374450683594,8.7860374450683594,8.7860374450683594,0 +walk_transit_ASC_no_auto_work,3.8120013671186221,3.8120013671186221,5.0354166030883789,0 +walk_transit_CBD_ASC_atwork,0.34851829905878767,0.34851829905878767,0.56400001049041748,0 +walk_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social,0.69144903771302224,0.69144903771302224,0.52499997615814209,0 +walk_transit_CBD_ASC_school_univ,0.78893465707209709,0.78893465707209709,0.67199999094009399,0 +walk_transit_CBD_ASC_work,0.97702352207787502,0.97702352207787502,0.80400002002716064,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_workplace_location.csv b/activitysim/estimation/test/test_larch_estimation/test_workplace_location.csv index 4fbab9890..528d77a9b 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_workplace_location.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_workplace_location.csv @@ -1,35 +1,35 @@ -,value,initvalue,nullvalue,minimum,maximum,best --999,-999,-999,-999,-999,-999,-999 -1,1,1,1,1,1,1 -coef_dist_0_1,-1.0822922946274103,-0.84279999999999999,0,-25,25,-1.0822922946274103 -coef_dist_0_5_high,0.1207879915621165,0.14999999999999999,0,-25,25,0.1207879915621165 -coef_dist_15_up,-0.091700000000000004,-0.091700000000000004,0,-25,25,-0.091700000000000004 -coef_dist_1_2,-0.24766620079389307,-0.31040000000000001,0,-25,25,-0.24766620079389307 -coef_dist_2_5,-0.3685512775196465,-0.37830000000000003,0,-25,25,-0.3685512775196465 -coef_dist_5_15,-0.15169975841932976,-0.1285,0,-25,25,-0.15169975841932976 -coef_dist_5_up_high,-0.015068815366553389,0.02,0,-25,25,-0.015068815366553389 -coef_mode_logsum,0.1608428973358158,0.29999999999999999,0,-25,25,0.1608428973358158 -work_high_AGREMPN,-5.414473039484391,-5.1159958097540823,0,-6,6,-5.414473039484391 -work_high_FPSEMPN,-2.0198354749074623,-1.575036485716768,0,-6,6,-2.0198354749074623 -work_high_HEREMPN,-1.5774962961301324,-1.258781040820931,0,-6,6,-1.5774962961301324 -work_high_MWTEMPN,-2.0728064576402221,-1.4312917270506265,0,-6,6,-2.0728064576402221 -work_high_OTHEMPN,-2.1440619487784449,-1.870802676568508,0,-6,6,-2.1440619487784449 -work_high_RETEMPN,-2.2072749131897207,-2.2072749131897207,0,-2.2072749131897207,-2.2072749131897207,-2.2072749131897207 -work_low_AGREMPN,-5.8479826351063204,-4.6051701859880909,0,-6,6,-5.8479826351063204 -work_low_FPSEMPN,-0.64550992870675994,-1.6450650900772514,0,-6,6,-0.64550992870675994 -work_low_HEREMPN,0.10934025159883133,-0.95972028980149104,0,-6,6,0.10934025159883133 -work_low_MWTEMPN,-0.35351399513998311,-1.8078888511579385,0,-6,6,-0.35351399513998311 -work_low_OTHEMPN,-0.68434316293298214,-2.120263536200091,0,-6,6,-0.68434316293298214 -work_low_RETEMPN,-2.0479428746204649,-2.0479428746204649,0,-2.0479428746204649,-2.0479428746204649,-2.0479428746204649 -work_med_AGREMPN,-6,-4.8283137373023015,0,-6,6,-6 -work_med_FPSEMPN,-1.9402118373687092,-1.6245515502441485,0,-6,6,-1.9402118373687092 -work_med_HEREMPN,-1.3812045016840873,-1.1239300966523995,0,-6,6,-1.3812045016840873 -work_med_MWTEMPN,-0.90824261771266779,-1.5606477482646683,0,-6,6,-0.90824261771266779 -work_med_OTHEMPN,-2.533158060495702,-1.9732813458514451,0,-6,6,-2.533158060495702 -work_med_RETEMPN,-2.120263536200091,-2.120263536200091,0,-2.120263536200091,-2.120263536200091,-2.120263536200091 -work_veryhigh_AGREMPN,-0.27766271475654764,-5.521460917862246,0,-6,6,-0.27766271475654764 -work_veryhigh_FPSEMPN,-1.7531684994723506,-1.3093333199837622,0,-6,6,-1.7531684994723506 -work_veryhigh_HEREMPN,-1.6190143529862893,-1.422958345491482,0,-6,6,-1.6190143529862893 -work_veryhigh_MWTEMPN,-1.7198536938187046,-1.4024237430497744,0,-6,6,-1.7198536938187046 -work_veryhigh_OTHEMPN,-2.4806660321461727,-1.9241486572738007,0,-6,6,-2.4806660321461727 -work_veryhigh_RETEMPN,-2.375155785828881,-2.375155785828881,0,-2.375155785828881,-2.375155785828881,-2.375155785828881 +param_name,value,best,initvalue,nullvalue +-999,-999,-999,-999,0 +1,1,1,1,0 +coef_dist_0_1,-0.30581956658755333,-0.30581956658755333,-0.84280002117156982,0 +coef_dist_0_5_high,-0.037591580411684179,-0.037591580411684179,0.15000000596046448,0 +coef_dist_15_up,-0.091700002551078796,-0.091700002551078796,-0.091700002551078796,0 +coef_dist_1_2,0.36403861650270469,0.36403861650270469,-0.31040000915527344,0 +coef_dist_2_5,0.074928140378863833,0.074928140378863833,-0.3783000111579895,0 +coef_dist_5_15,0.042013884570839009,0.042013884570839009,-0.12849999964237213,0 +coef_dist_5_up_high,-0.091028422362310263,-0.091028422362310263,0.019999999552965164,0 +coef_mode_logsum,0.30841772929564437,0.30841772929564437,0.30000001192092896,0 +work_high_AGREMPN,-5.1363934448871946,-5.1363934448871946,-5.1159958839416504,0 +work_high_FPSEMPN,-6,-6,-1.5750365257263184,0 +work_high_HEREMPN,-5.8758079453903402,-5.8758079453903402,-1.2587810754776001,0 +work_high_MWTEMPN,-6,-6,-1.4312916994094849,0 +work_high_OTHEMPN,-4.7871339627162968,-4.7871339627162968,-1.870802640914917,0 +work_high_RETEMPN,-2.2072749137878418,-2.2072749137878418,-2.2072749137878418,0 +work_low_AGREMPN,-4.62261674278023,-4.62261674278023,-4.6051702499389648,0 +work_low_FPSEMPN,-6,-6,-1.6450650691986084,0 +work_low_HEREMPN,-5.0606787642354085,-5.0606787642354085,-0.95972031354904175,0 +work_low_MWTEMPN,-5.9999999999999991,-5.9999999999999991,-1.8078888654708862,0 +work_low_OTHEMPN,-4.6880188560666634,-4.6880188560666634,-2.1202635765075684,0 +work_low_RETEMPN,-2.0479428768157959,-2.0479428768157959,-2.0479428768157959,0 +work_med_AGREMPN,-4.8408567797905402,-4.8408567797905402,-4.8283138275146484,0 +work_med_FPSEMPN,-6,-6,-1.62455153465271,0 +work_med_HEREMPN,-5.4208328700623296,-5.4208328700623296,-1.1239300966262817,0 +work_med_MWTEMPN,-5.8367726149021344,-5.8367726149021344,-1.56064772605896,0 +work_med_OTHEMPN,-4.8724459817438781,-4.8724459817438781,-1.9732813835144043,0 +work_med_RETEMPN,-2.1202635765075684,-2.1202635765075684,-2.1202635765075684,0 +work_veryhigh_AGREMPN,-5.543114854785494,-5.543114854785494,-5.521461009979248,0 +work_veryhigh_FPSEMPN,-6,-6,-1.309333324432373,0 +work_veryhigh_HEREMPN,-5.6530572756846489,-5.6530572756846489,-1.4229583740234375,0 +work_veryhigh_MWTEMPN,-6,-6,-1.4024237394332886,0 +work_veryhigh_OTHEMPN,-5.8240005358464035,-5.8240005358464035,-1.9241486787796021,0 +work_veryhigh_RETEMPN,-2.3751556873321533,-2.3751556873321533,-2.3751556873321533,0 diff --git a/activitysim/estimation/test/test_larch_estimation/test_workplace_location_loglike.csv b/activitysim/estimation/test/test_larch_estimation/test_workplace_location_loglike.csv index 71e9b13b1..dcd02282b 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_workplace_location_loglike.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_workplace_location_loglike.csv @@ -1,2 +1,2 @@ ,loglike_prior,loglike_converge -0,-13535.154991016063,-13520.930381371694 +0,-8694.16639312677943963,-7268.65904321087054996 diff --git a/activitysim/estimation/test/test_larch_estimation/test_workplace_location_size_spec.csv b/activitysim/estimation/test/test_larch_estimation/test_workplace_location_size_spec.csv index b568bafc7..f6d6b1746 100644 --- a/activitysim/estimation/test/test_larch_estimation/test_workplace_location_size_spec.csv +++ b/activitysim/estimation/test/test_larch_estimation/test_workplace_location_size_spec.csv @@ -1,8 +1,8 @@ ,segment,model_selector,TOTHH,RETEMPN,FPSEMPN,HEREMPN,OTHEMPN,AGREMPN,MWTEMPN,AGE0519,HSENROLL,COLLFTE,COLLPTE -0,work_low,workplace,0,0.04331096924066484,0.17606247084331519,0.37453642466033488,0.16935644669165648,0.000968861288590913,0.23576482727543777,0,0,0,0 -1,work_med,workplace,0,0.11999183383359351,0.14366373395357587,0.25125860903337882,0.079402445282216183,0.0024785834941433989,0.40320479440309209,0,0,0,0 -2,work_high,workplace,0,0.15790294154771911,0.19045576988955706,0.29641460514585227,0.1682066889662423,0.0063903077215986892,0.18062968672903063,0,0,0,0 -3,work_veryhigh,workplace,0,0.062641019242734242,0.11667678718376452,0.13342796655219047,0.056368476597385232,0.51025642529636983,0.12062932512755588,0,0,0,0 +0,work_low,workplace,0,0.8096367605074406,0.015557278192424053,0.039799319567405213,0.057772317445170702,0.06167704609513544,0.015557278192424065,0,0,0,0 +1,work_med,workplace,0,0.8254493658270311,0.017050704122867678,0.030427859824865577,0.052654174261774579,0.054344027646221538,0.020073868317239382,0,0,0,0 +2,work_high,workplace,0,0.83346467076784692,0.018781385164327268,0.02126490971714939,0.063163857701673223,0.044543791484676111,0.018781385164327268,0,0,0,0 +3,work_veryhigh,workplace,0,0.85845344910642152,0.022880571461814655,0.032369961125427262,0.027283649594894748,0.03613179724962709,0.022880571461814655,0,0,0,0 4,university,school,0,0,0,0,0,0,0,0,0,0.59199999999999997,0.40799999999999997 5,gradeschool,school,0,0,0,0,0,0,0,1,0,0,0 6,highschool,school,0,0,0,0,0,0,0,0,1,0,0 diff --git a/activitysim/examples/example_estimation/build_full_mtc_example.py b/activitysim/examples/example_estimation/build_full_mtc_example.py new file mode 100644 index 000000000..1d92a35ac --- /dev/null +++ b/activitysim/examples/example_estimation/build_full_mtc_example.py @@ -0,0 +1,195 @@ +""" +This script builds estimation data bundles for the full MTC example for ActivitySim. + +It does so by running ActivitySim twice: once to create synthetic survey data and then +a second time to create the estimation data bundles. For "real" applications, the +synthetic survey data would not be generated by ActivitySim; it would be real survey data. + +It downloads the necessary example data, runs the ActivitySim model with specified configurations, +and processes the output data. The script accepts the working directory and household sample size +as command-line arguments. + +Functions: + download_example(download_dir: Path) -> Path: + Downloads the prototype MTC extended example data to the specified directory. + + main(working_dir: Path, household_sample_size: int): + Main function that sets up directories, runs the ActivitySim model, and processes the output data. + +Usage: + python build-full-mtc.py -d -s + +Arguments: + -d, --directory: Directory to use as the working directory. Defaults to '/tmp/edb-test'. + -s, --household_sample_size: Household sample size. Defaults to 2000. +""" + +from __future__ import annotations + +import argparse +import os +import shutil +import subprocess +import time +from pathlib import Path + +from activitysim.examples.external import download_external_example + + +def download_example(download_dir): + example_dir = download_external_example( + name="prototype_mtc_extended", + working_dir=download_dir, + url="https://github.com/ActivitySim/activitysim-prototype-mtc/archive/refs/heads/extended.tar.gz", + assets={ + "data_full.tar.zst": { + "url": "https://github.com/ActivitySim/activitysim-prototype-mtc/releases/download/v1.3.4/data_full.tar.zst", + "sha256": "b402506a61055e2d38621416dd9a5c7e3cf7517c0a9ae5869f6d760c03284ef3", + "unpack": "data_full", + }, + "test/prototype_mtc_reference_pipeline.zip": { + "url": "https://github.com/ActivitySim/activitysim-prototype-mtc/releases/download/v1.3.2/prototype_mtc_extended_reference_pipeline.zip", + "sha256": "4d94b6a8a83225dda17e9ca19c9110bc1df2df5b4b362effa153d1c8d31524f5", + }, + }, + ) + return example_dir + + +def main(working_dir: Path, household_sample_size: int, skip_to_edb: bool = False): + working_dir = Path(working_dir) + working_dir.mkdir(parents=True, exist_ok=True) + + script_dir = Path(__file__).resolve().parent + infer_py = script_dir / "scripts" / "infer.py" + + print(f'The current CONDA environment is {os.getenv("CONDA_DEFAULT_ENV")}') + + configs_dir = working_dir / "activitysim-prototype-mtc-extended" / "configs" + full_data_dir = working_dir / "activitysim-prototype-mtc-extended" / "data_full" + pseudosurvey_dir = working_dir / "activitysim-prototype-mtc-extended" / "output" + + if not skip_to_edb: + download_example(working_dir) + + subprocess.run( + [ + "python", + "-m", + "activitysim", + "run", + "-c", + str(configs_dir), + "-d", + str(full_data_dir), + "-o", + str(pseudosurvey_dir), + "--households_sample_size", + str(household_sample_size), + ], + check=True, + ) + + survey_data_dir = pseudosurvey_dir / "survey_data" + survey_data_dir.mkdir(parents=True, exist_ok=True) + + for file in pseudosurvey_dir.glob("final_*.csv"): + shutil.copy(str(file), str(survey_data_dir)) + + files_to_copy = [ + "final_households.csv", + "final_persons.csv", + "final_tours.csv", + "final_joint_tour_participants.csv", + "final_trips.csv", + ] + + for file_name in files_to_copy: + src = pseudosurvey_dir / file_name + dest = survey_data_dir / file_name.replace("final_", "survey_") + shutil.copy(src, dest) + + output_dir = working_dir / "infer-output" + output_dir.mkdir(parents=True, exist_ok=True) + output_dir.joinpath(".gitignore").write_text("**\n") + + subprocess.run( + [ + "python", + str(infer_py), + str(pseudosurvey_dir), + str(configs_dir), + str(output_dir), + ], + check=True, + ) + + for file in output_dir.glob("override_*.csv"): + shutil.copy(str(file), str(full_data_dir)) + + edb_dir = working_dir / "activitysim-prototype-mtc-extended" / "output-est-mode" + edb_dir.mkdir(parents=True, exist_ok=True) + + subprocess.run( + [ + "python", + "-m", + "activitysim", + "run", + "-c", + str(script_dir / "configs_estimation"), + "-c", + str(configs_dir), + "-d", + str(full_data_dir), + "-o", + str(edb_dir), + ], + check=True, + ) + + # mark the entire created directory as ignored for git + edb_dir.parent.joinpath(".gitignore").write_text("**\n") + + # create a success.txt file to indicate that the EDB was successfully built + completed_at = time.strftime("%Y-%m-%d %H:%M:%S") + edb_dir.joinpath("success.txt").write_text( + f"Successfully built the full MTC estimation data bundle example with {household_sample_size} households.\n" + f"Completed at {completed_at}" + ) + + +def as_needed(working_dir: Path, household_sample_size: int): + """Check if the EDB directory has already been built. If not, build it.""" + edb_dir = ( + Path(working_dir) / "activitysim-prototype-mtc-extended" / "output-est-mode" + ) + if not edb_dir.joinpath("success.txt").exists(): + main(working_dir, household_sample_size) + else: + print("EDB directory already populated.") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Build the full MTC example.") + parser.add_argument( + "-d", + "--directory", + type=str, + default="/tmp/edb-test", + help="Directory to use as the working directory. Defaults to '/tmp/edb-test'.", + ) + parser.add_argument( + "-s", + "--household_sample_size", + type=int, + default=2000, + help="Household sample size. Defaults to 2000.", + ) + parser.add_argument( + "--skip_to_edb", + action="store_true", + help="Skip to EDB step. Defaults to False.", + ) + args = parser.parse_args() + main(args.directory, args.household_sample_size, args.skip_to_edb) diff --git a/activitysim/examples/example_estimation/configs/estimation.yaml b/activitysim/examples/example_estimation/configs/estimation.yaml index 7e8112c0f..b6bb5831a 100644 --- a/activitysim/examples/example_estimation/configs/estimation.yaml +++ b/activitysim/examples/example_estimation/configs/estimation.yaml @@ -60,7 +60,7 @@ estimation_table_recipes: alternatives_combined: - interaction_sample_alternatives - interaction_expression_values - omnibus_tables_append_columns: [choosers_combined] + omnibus_tables_append_columns: [choosers_combined, alternatives_combined] interaction_simulate: omnibus_tables: @@ -97,7 +97,7 @@ estimation_table_recipes: omnibus_tables_append_columns: [values_combined] -model_estimation_table_types: +estimation_table_types: school_location: interaction_sample_simulate workplace_location: interaction_sample_simulate auto_ownership: simple_simulate diff --git a/activitysim/examples/example_estimation/configs_estimation/estimation.yaml b/activitysim/examples/example_estimation/configs_estimation/estimation.yaml new file mode 100644 index 000000000..1f7bdfa6c --- /dev/null +++ b/activitysim/examples/example_estimation/configs_estimation/estimation.yaml @@ -0,0 +1,129 @@ +EDB_ALTS_FILE_FORMAT: compact # options: compact, verbose +EDB_FILETYPE: parquet # options: csv, parquet, pkl + +enable: True + +bundles: + - school_location + - workplace_location + - auto_ownership + - vehicle_type_choice + - free_parking + - cdap + - mandatory_tour_frequency + - mandatory_tour_scheduling_work + - mandatory_tour_scheduling_school + - joint_tour_frequency + - joint_tour_composition + - joint_tour_participation + - joint_tour_destination + - joint_tour_scheduling + - non_mandatory_tour_frequency + - non_mandatory_tour_destination + - non_mandatory_tour_scheduling + - tour_mode_choice + - atwork_subtour_frequency + - atwork_subtour_destination + - atwork_subtour_scheduling + - atwork_subtour_mode_choice + - stop_frequency + - trip_purpose + - trip_destination + - trip_scheduling + - trip_mode_choice + +# - atwork_subtour_mode_choice subtours.tour_mode + +survey_tables: + households: + file_name: override_households.csv + index_col: household_id + persons: + file_name: override_persons.csv + index_col: person_id + tours: + file_name: override_tours.csv + index_col: tour_id + joint_tour_participants: + file_name: override_joint_tour_participants.csv + index_col: participant_id + trips: + file_name: override_trips.csv + index_col: trip_id + +estimation_table_recipes: + + interaction_sample_simulate: + omnibus_tables: + choosers_combined: + - choices + - override_choices + - choosers + alternatives_combined: + - interaction_sample_alternatives + - interaction_expression_values + omnibus_tables_append_columns: [choosers_combined, alternatives_combined] + + interaction_simulate: + omnibus_tables: + choosers_combined: + - choices + - override_choices + - choosers + omnibus_tables_append_columns: [choosers_combined] + + simple_simulate: + omnibus_tables: + values_combined: + - choices + - override_choices + - expression_values + - choosers + omnibus_tables_append_columns: [values_combined] + + cdap_simulate: + omnibus_tables: + values_combined: + - choices + - override_choices + - choosers + omnibus_tables_append_columns: [values_combined] + + simple_probabilistic: + omnibus_tables: + values_combined: + - choices + - override_choices + - choosers + - probs + omnibus_tables_append_columns: [values_combined] + + +estimation_table_types: + school_location: interaction_sample_simulate + workplace_location: interaction_sample_simulate + auto_ownership: simple_simulate + vehicle_type_choice: interaction_simulate + free_parking: simple_simulate + cdap: cdap_simulate + mandatory_tour_frequency: simple_simulate + mandatory_tour_scheduling_work: interaction_sample_simulate + mandatory_tour_scheduling_school: interaction_sample_simulate + joint_tour_frequency: simple_simulate + joint_tour_composition: simple_simulate + joint_tour_participation: simple_simulate + joint_tour_destination: interaction_sample_simulate + joint_tour_scheduling: interaction_sample_simulate + non_mandatory_tour_frequency: interaction_simulate + non_mandatory_tour_destination: interaction_sample_simulate + non_mandatory_tour_scheduling: interaction_sample_simulate + tour_mode_choice: simple_simulate + atwork_subtour_frequency: simple_simulate + atwork_subtour_destination: interaction_sample_simulate + atwork_subtour_scheduling: interaction_sample_simulate + atwork_subtour_mode_choice: simple_simulate + stop_frequency: simple_simulate + trip_purpose: simple_probabilistic + trip_destination: interaction_sample_simulate + trip_scheduling: simple_probabilistic + trip_mode_choice: simple_simulate diff --git a/activitysim/examples/example_estimation/configs_estimation/logging.yaml b/activitysim/examples/example_estimation/configs_estimation/logging.yaml new file mode 100644 index 000000000..f4902943d --- /dev/null +++ b/activitysim/examples/example_estimation/configs_estimation/logging.yaml @@ -0,0 +1,67 @@ +# Config for logging +# ------------------ +# See http://docs.python.org/2.7/library/logging.config.html#configuration-dictionary-schema + +logging: + version: 1 + disable_existing_loggers: true + + + # Configuring the default (root) logger is highly recommended + root: + level: NOTSET + handlers: [console, logfile, elogfile] + + loggers: + + estimation: + level: DEBUG + handlers: [console, elogfile] + propagate: false + + activitysim: + level: INFO + handlers: [console, logfile] + propagate: false + + orca: + level: WARN + handlers: [console, logfile] + propagate: false + + handlers: + + elogfile: + class: logging.FileHandler + filename: + get_log_file_path: 'estimation.log' + mode: w + formatter: fileFormatter + level: NOTSET + + logfile: + class: logging.FileHandler + filename: + get_log_file_path: 'activitysim.log' + mode: w + formatter: fileFormatter + level: NOTSET + + console: + class: logging.StreamHandler + stream: ext://sys.stdout + formatter: simpleFormatter + level: NOTSET + + formatters: + + simpleFormatter: + class: logging.Formatter + # format: '%(levelname)s - %(name)s - %(message)s' + format: '%(levelname)s - %(message)s' + datefmt: '%d/%m/%Y %H:%M:%S' + + fileFormatter: + class: logging.Formatter + format: '%(asctime)s - %(levelname)s - %(name)s - %(message)s' + datefmt: '%d/%m/%Y %H:%M:%S' diff --git a/activitysim/examples/example_estimation/configs_estimation/settings.yaml b/activitysim/examples/example_estimation/configs_estimation/settings.yaml new file mode 100644 index 000000000..1e96b0f1a --- /dev/null +++ b/activitysim/examples/example_estimation/configs_estimation/settings.yaml @@ -0,0 +1,165 @@ + +inherit_settings: True + +# assume enough RAM to not chunk +chunk_training_mode: disabled + +# input tables +input_table_list: + # + # households (table index 'household_id') + # + - tablename: households + filename: override_households.csv + index_col: household_id + keep_columns: + - home_zone_id + - income + - hhsize + - HHT + - auto_ownership + - num_workers + # + # persons (table index 'person_id') + # + - tablename: persons + filename: override_persons.csv + keep_columns: + - household_id + - age + - PNUM + - sex + - pemploy + - pstudent + - ptype + # + # land_use (table index 'zone_id') + # + - tablename: land_use + filename: land_use.csv + rename_columns: + # accept either TAZ or ZONE (but not both) + TAZ: zone_id + ZONE: zone_id + COUNTY: county_id + keep_columns: + - DISTRICT + - SD + - county_id + - TOTHH + - TOTPOP + - TOTACRE + - RESACRE + - CIACRE + - TOTEMP + - AGE0519 + - RETEMPN + - FPSEMPN + - HEREMPN + - OTHEMPN + - AGREMPN + - MWTEMPN + - PRKCST + - OPRKCST + - area_type + - HSENROLL + - COLLFTE + - COLLPTE + - TOPOLOGY + - TERMINAL + +write_raw_tables: False +rng_base_seed: 42 + +fail_fast: True + +use_shadow_pricing: False + +# turn writing of sample_tables on and off for all models +# (if True, tables will be written if DEST_CHOICE_SAMPLE_TABLE_NAME is specified in individual model settings) +want_dest_choice_sample_tables: False + +# number of households to simulate +households_sample_size: 0 + +# to resume after last successful checkpoint, specify resume_after: _ +#resume_after: initialize_households + +trace_hh_id: + +multiprocess: true +num_processes: 2 + + +output_tables: + h5_store: False + action: include + prefix: final_ + sort: True + tables: + - checkpoints + - accessibility + - land_use + - households + - persons + - tours + - trips + - joint_tour_participants + +resume_after: + +models: + - initialize_landuse + - initialize_households + - compute_accessibility + - school_location + - workplace_location + - auto_ownership_simulate + - free_parking + - cdap_simulate + - mandatory_tour_frequency + - mandatory_tour_scheduling + - joint_tour_frequency + - joint_tour_composition + - joint_tour_participation + - joint_tour_destination + - joint_tour_scheduling + - non_mandatory_tour_frequency + - non_mandatory_tour_destination + - non_mandatory_tour_scheduling + - tour_mode_choice_simulate + - atwork_subtour_frequency + - atwork_subtour_destination + - atwork_subtour_scheduling + - atwork_subtour_mode_choice + - stop_frequency + - trip_purpose + - trip_destination +# - trip_purpose_and_destination + - trip_scheduling + - trip_mode_choice +# - write_data_dictionary +# - track_skim_usage +# - write_trip_matrices + - write_tables + - coalesce_estimation_data_bundles + + +multiprocess_steps: + - name: mp_initialize + begin: initialize_landuse + - name: mp_accessibility + begin: compute_accessibility + slice: + tables: + - accessibility + # don't slice any tables not explicitly listed above in slice.tables + exclude: True + - name: mp_households + begin: school_location + slice: + tables: + - households + - persons + - name: mp_summarize + begin: write_tables diff --git a/activitysim/examples/example_estimation/notebooks/02_school_location.ipynb b/activitysim/examples/example_estimation/notebooks/02_school_location.ipynb index f83880302..8562928ae 100644 --- a/activitysim/examples/example_estimation/notebooks/02_school_location.ipynb +++ b/activitysim/examples/example_estimation/notebooks/02_school_location.ipynb @@ -26,30 +26,73 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.31.dev37+gd94e3a6',\n", + " 'sharrow': '2.12.2.dev4+gea8174f',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import larch # !conda install larch #for estimation\n", + "import larch as lx\n", "import pandas as pd\n", - "import numpy as np\n", - "import yaml \n", - "import larch.util.excel\n", - "import os" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "prepare()" ] }, { @@ -72,10 +115,27 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/school_location/school_location_size_terms.csv\n" + ] + } + ], "source": [ "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname, return_data=True, \n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + ")" ] }, { @@ -266,148 +326,130 @@ " \n", " \n", " person_id\n", - " variable\n", - " 5\n", - " 9\n", - " 10\n", - " 12\n", - " 13\n", - " 14\n", - " 37\n", - " 39\n", - " ...\n", - " 178\n", - " 179\n", - " 180\n", - " 181\n", - " 182\n", - " 184\n", - " 186\n", - " 187\n", - " 189\n", - " 190\n", + " alt_dest\n", + " prob\n", + " pick_count\n", + " mode_choice_logsum\n", + " size_term\n", + " shadow_price_size_term_adjustment\n", + " shadow_price_utility_adjustment\n", + " util_dist_0_1\n", + " util_dist_1_2\n", + " util_dist_2_5\n", + " util_dist_5_15\n", + " util_dist_15_up\n", + " util_size_variable\n", + " util_utility_adjustment\n", + " util_no_attractions\n", + " util_mode_choice_logsum\n", + " util_sample_of_corrections_factor\n", " \n", " \n", " \n", " \n", " 0\n", - " 629\n", - " mode_choice_logsum\n", - " -1.2112310566711697\n", - " -0.932235390015777\n", - " -0.9960110406421955\n", - " -1.2780595287661722\n", - " -1.4547553701284834\n", - " -1.4573412829661365\n", - " -3.8602604963599583\n", - " -3.8673170163655084\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1918\n", + " 13\n", + " 0.006688\n", + " 1\n", + " -0.748611\n", + " 2578.276039\n", + " 1\n", + " 0\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 2.18\n", + " 0.000000\n", + " 7.855264\n", + " 0\n", + " False\n", + " -0.748611\n", + " 5.007436\n", " \n", " \n", " 1\n", - " 629\n", - " pick_count\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", + " 1918\n", + " 69\n", + " 0.034697\n", + " 2\n", + " -1.228993\n", + " 4541.220657\n", + " 1\n", + " 0\n", " 1.0\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1.00\n", + " 3.00\n", + " 0.02\n", + " 0.000000\n", + " 8.421171\n", + " 0\n", + " False\n", + " -1.228993\n", + " 4.054244\n", " \n", " \n", " 2\n", - " 629\n", - " prob\n", - " 3.964160543594042e-05\n", - " 0.0016781637363059928\n", - " 0.0006643895574387415\n", - " 0.00279311489869619\n", - " 0.0021809528368544094\n", - " 0.000462535262887269\n", - " 0.0001419935499379287\n", - " 0.00020956937572710045\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1918\n", + " 133\n", + " 0.249356\n", + " 5\n", + " -0.916451\n", + " 13419.153743\n", + " 1\n", + " 0\n", + " 1.0\n", + " 1.00\n", + " 1.46\n", + " 0.00\n", + " 0.000000\n", + " 9.504513\n", + " 0\n", + " False\n", + " -0.916451\n", + " 2.998311\n", " \n", " \n", " 3\n", - " 629\n", - " shadow_price_size_term_adjustment\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", + " 1918\n", + " 185\n", + " 0.073783\n", + " 6\n", + " 0.075435\n", + " 146.752243\n", + " 1\n", + " 0\n", " 1.0\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 0.09\n", + " 0.00\n", + " 0.00\n", + " 0.000000\n", + " 4.995537\n", + " 0\n", + " False\n", + " 0.075435\n", + " 4.398386\n", " \n", " \n", " 4\n", - " 629\n", - " shadow_price_utility_adjustment\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 1918\n", + " 188\n", + " 0.563157\n", + " 16\n", + " -0.494830\n", + " 14849.890384\n", + " 1\n", + " 0\n", + " 1.0\n", + " 1.00\n", + " 0.21\n", + " 0.00\n", + " 0.000000\n", + " 9.605815\n", + " 0\n", + " False\n", + " -0.494830\n", + " 3.346785\n", " \n", " \n", " ...\n", @@ -429,202 +471,197 @@ " ...\n", " ...\n", " ...\n", - " ...\n", - " ...\n", - " ...\n", " \n", " \n", - " 15739\n", - " 7541072\n", - " util_mode_choice_logsum\n", - " 0.40135279939989227\n", - " 0.6886076440937283\n", - " -0.19687426761567137\n", - " 0.2984571875113106\n", - " 0.12893352536731956\n", - " 0.11661882054650644\n", - " -0.6296937346519611\n", - " -1.8050089284615745\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 15740\n", - " 7541072\n", - " util_no_attractions\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", + " 280369\n", + " 7560173\n", + " 961\n", + " 0.009587\n", + " 2\n", + " -7.651546\n", + " 2344.192182\n", + " 1\n", + " 0\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 10.00\n", + " 12.840000\n", + " 7.760123\n", + " 0\n", " False\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 15741\n", - " 7541072\n", - " util_sample_of_corrections_factor\n", - " 7.389915782617758\n", - " 3.63171689160651\n", - " 4.086567141458603\n", - " 3.0685803316958498\n", - " 3.329370934699213\n", - " 4.894970267088966\n", - " 6.157455562658895\n", - " 5.794602181057687\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 15742\n", - " 7541072\n", - " util_size_variable\n", - " 3.7775981687727715\n", - " 7.102065086612786\n", - " 6.0156825253211785\n", - " 8.007621568875283\n", - " 7.855264033670534\n", - " 6.409511700926014\n", - " 5.523688361666357\n", - " 5.897955675114184\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " \n", - " \n", - " 15743\n", - " 7541072\n", - " util_utility_adjustment\n", + " -7.651546\n", + " 5.340517\n", + " \n", + " \n", + " 280370\n", + " 7560173\n", + " 1019\n", + " 0.066276\n", + " 3\n", + " -8.962833\n", + " 19615.000247\n", + " 1\n", " 0\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 10.00\n", + " 15.450001\n", + " 9.884101\n", " 0\n", + " False\n", + " -8.962833\n", + " 3.812534\n", + " \n", + " \n", + " 280371\n", + " 7560173\n", + " 1127\n", + " 0.046707\n", + " 2\n", + " -7.268993\n", + " 9729.629299\n", + " 1\n", " 0\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 10.00\n", + " 10.639999\n", + " 9.183034\n", " 0\n", + " False\n", + " -7.268993\n", + " 3.757005\n", + " \n", + " \n", + " 280372\n", + " 7560173\n", + " 1198\n", + " 0.007698\n", + " 1\n", + " -10.470374\n", + " 3124.400431\n", + " 1\n", " 0\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 10.00\n", + " 19.779999\n", + " 8.047318\n", " 0\n", + " False\n", + " -10.470374\n", + " 4.866794\n", + " \n", + " \n", + " 280373\n", + " 7561903\n", + " 1127\n", + " 0.981543\n", + " 31\n", + " 4.218881\n", + " 9729.629299\n", + " 1\n", " 0\n", + " 1.0\n", + " 1.00\n", + " 0.32\n", + " 0.00\n", + " 0.000000\n", + " 9.183034\n", " 0\n", - " ...\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " False\n", + " 4.218881\n", + " 3.452616\n", " \n", " \n", "\n", - "

15744 rows × 192 columns

\n", + "

280374 rows × 18 columns

\n", "" ], "text/plain": [ - " person_id variable 5 \\\n", - "0 629 mode_choice_logsum -1.2112310566711697 \n", - "1 629 pick_count 1.0 \n", - "2 629 prob 3.964160543594042e-05 \n", - "3 629 shadow_price_size_term_adjustment 1.0 \n", - "4 629 shadow_price_utility_adjustment 0.0 \n", - "... ... ... ... \n", - "15739 7541072 util_mode_choice_logsum 0.40135279939989227 \n", - "15740 7541072 util_no_attractions False \n", - "15741 7541072 util_sample_of_corrections_factor 7.389915782617758 \n", - "15742 7541072 util_size_variable 3.7775981687727715 \n", - "15743 7541072 util_utility_adjustment 0 \n", + " person_id alt_dest prob pick_count mode_choice_logsum \\\n", + "0 1918 13 0.006688 1 -0.748611 \n", + "1 1918 69 0.034697 2 -1.228993 \n", + "2 1918 133 0.249356 5 -0.916451 \n", + "3 1918 185 0.073783 6 0.075435 \n", + "4 1918 188 0.563157 16 -0.494830 \n", + "... ... ... ... ... ... \n", + "280369 7560173 961 0.009587 2 -7.651546 \n", + "280370 7560173 1019 0.066276 3 -8.962833 \n", + "280371 7560173 1127 0.046707 2 -7.268993 \n", + "280372 7560173 1198 0.007698 1 -10.470374 \n", + "280373 7561903 1127 0.981543 31 4.218881 \n", "\n", - " 9 10 12 \\\n", - "0 -0.932235390015777 -0.9960110406421955 -1.2780595287661722 \n", - "1 1.0 1.0 1.0 \n", - "2 0.0016781637363059928 0.0006643895574387415 0.00279311489869619 \n", - "3 1.0 1.0 1.0 \n", - "4 0.0 0.0 0.0 \n", - "... ... ... ... \n", - "15739 0.6886076440937283 -0.19687426761567137 0.2984571875113106 \n", - "15740 False False False \n", - "15741 3.63171689160651 4.086567141458603 3.0685803316958498 \n", - "15742 7.102065086612786 6.0156825253211785 8.007621568875283 \n", - "15743 0 0 0 \n", + " size_term shadow_price_size_term_adjustment \\\n", + "0 2578.276039 1 \n", + "1 4541.220657 1 \n", + "2 13419.153743 1 \n", + "3 146.752243 1 \n", + "4 14849.890384 1 \n", + "... ... ... \n", + "280369 2344.192182 1 \n", + "280370 19615.000247 1 \n", + "280371 9729.629299 1 \n", + "280372 3124.400431 1 \n", + "280373 9729.629299 1 \n", "\n", - " 13 14 37 \\\n", - "0 -1.4547553701284834 -1.4573412829661365 -3.8602604963599583 \n", - "1 1.0 1.0 1.0 \n", - "2 0.0021809528368544094 0.000462535262887269 0.0001419935499379287 \n", - "3 1.0 1.0 1.0 \n", - "4 0.0 0.0 0.0 \n", - "... ... ... ... \n", - "15739 0.12893352536731956 0.11661882054650644 -0.6296937346519611 \n", - "15740 False False False \n", - "15741 3.329370934699213 4.894970267088966 6.157455562658895 \n", - "15742 7.855264033670534 6.409511700926014 5.523688361666357 \n", - "15743 0 0 0 \n", + " shadow_price_utility_adjustment util_dist_0_1 util_dist_1_2 \\\n", + "0 0 1.0 1.00 \n", + "1 0 1.0 1.00 \n", + "2 0 1.0 1.00 \n", + "3 0 1.0 0.09 \n", + "4 0 1.0 1.00 \n", + "... ... ... ... \n", + "280369 0 1.0 1.00 \n", + "280370 0 1.0 1.00 \n", + "280371 0 1.0 1.00 \n", + "280372 0 1.0 1.00 \n", + "280373 0 1.0 1.00 \n", "\n", - " 39 ... 178 179 180 181 182 184 186 187 \\\n", - "0 -3.8673170163655084 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "1 1.0 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "2 0.00020956937572710045 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "3 1.0 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "4 0.0 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "... ... ... ... ... ... ... ... ... ... ... \n", - "15739 -1.8050089284615745 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "15740 False ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "15741 5.794602181057687 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "15742 5.897955675114184 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", - "15743 0 ... NaN NaN NaN NaN NaN NaN NaN NaN \n", + " util_dist_2_5 util_dist_5_15 util_dist_15_up util_size_variable \\\n", + "0 3.00 2.18 0.000000 7.855264 \n", + "1 3.00 0.02 0.000000 8.421171 \n", + "2 1.46 0.00 0.000000 9.504513 \n", + "3 0.00 0.00 0.000000 4.995537 \n", + "4 0.21 0.00 0.000000 9.605815 \n", + "... ... ... ... ... \n", + "280369 3.00 10.00 12.840000 7.760123 \n", + "280370 3.00 10.00 15.450001 9.884101 \n", + "280371 3.00 10.00 10.639999 9.183034 \n", + "280372 3.00 10.00 19.779999 8.047318 \n", + "280373 0.32 0.00 0.000000 9.183034 \n", "\n", - " 189 190 \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "... ... ... \n", - "15739 NaN NaN \n", - "15740 NaN NaN \n", - "15741 NaN NaN \n", - "15742 NaN NaN \n", - "15743 NaN NaN \n", + " util_utility_adjustment util_no_attractions util_mode_choice_logsum \\\n", + "0 0 False -0.748611 \n", + "1 0 False -1.228993 \n", + "2 0 False -0.916451 \n", + "3 0 False 0.075435 \n", + "4 0 False -0.494830 \n", + "... ... ... ... \n", + "280369 0 False -7.651546 \n", + "280370 0 False -8.962833 \n", + "280371 0 False -7.268993 \n", + "280372 0 False -10.470374 \n", + "280373 0 False 4.218881 \n", "\n", - "[15744 rows x 192 columns]" + " util_sample_of_corrections_factor \n", + "0 5.007436 \n", + "1 4.054244 \n", + "2 2.998311 \n", + "3 4.398386 \n", + "4 3.346785 \n", + "... ... \n", + "280369 5.340517 \n", + "280370 3.812534 \n", + "280371 3.757005 \n", + "280372 4.866794 \n", + "280373 3.452616 \n", + "\n", + "[280374 rows x 18 columns]" ] }, "execution_count": 6, @@ -680,48 +717,48 @@ " \n", " \n", " 0\n", - " 629\n", - " 13\n", - " 12\n", - " 131\n", + " 1918\n", + " 188\n", + " 188\n", + " 186\n", " 3\n", - " 629\n", + " 1918\n", " \n", " \n", " 1\n", - " 1274\n", - " 10\n", - " 10\n", - " 166\n", + " 2256\n", + " 133\n", + " 229\n", + " 208\n", " 3\n", - " 1274\n", + " 2256\n", " \n", " \n", " 2\n", - " 27266\n", - " 10\n", - " 12\n", - " 9\n", + " 3215\n", + " 291\n", + " 229\n", + " 252\n", " 3\n", - " 27266\n", + " 3215\n", " \n", " \n", " 3\n", - " 28012\n", - " 5\n", - " 5\n", - " 10\n", + " 4362\n", + " 300\n", + " 342\n", + " 313\n", " 3\n", - " 28012\n", + " 4362\n", " \n", " \n", " 4\n", - " 29368\n", - " 185\n", - " 185\n", - " 16\n", + " 5859\n", + " 490\n", + " 490\n", + " 400\n", " 3\n", - " 29368\n", + " 5859\n", " \n", " \n", " ...\n", @@ -733,83 +770,83 @@ " ...\n", " \n", " \n", - " 979\n", - " 7514214\n", - " 185\n", - " 185\n", - " 56\n", - " 3\n", - " 2822879\n", + " 14984\n", + " 7550994\n", + " 1091\n", + " 1091\n", + " 1124\n", + " 2\n", + " 2859659\n", " \n", " \n", - " 980\n", - " 7514777\n", - " 185\n", - " 185\n", - " 106\n", - " 3\n", - " 2823442\n", + " 14985\n", + " 7552418\n", + " 1270\n", + " 1263\n", + " 1268\n", + " 2\n", + " 2861083\n", " \n", " \n", - " 981\n", - " 7515185\n", - " 188\n", - " 188\n", - " 142\n", - " 3\n", - " 2823850\n", + " 14986\n", + " 7553232\n", + " 1324\n", + " 1324\n", + " 1320\n", + " 2\n", + " 2861897\n", " \n", " \n", - " 982\n", - " 7527597\n", - " 69\n", - " 13\n", - " 188\n", + " 14987\n", + " 7560173\n", + " 557\n", + " 811\n", + " 743\n", " 3\n", - " 2836262\n", + " 2868838\n", " \n", " \n", - " 983\n", - " 7541072\n", - " 112\n", - " 107\n", - " 117\n", + " 14988\n", + " 7561903\n", + " 1127\n", + " 1127\n", + " 1121\n", " 3\n", - " 2849737\n", + " 2870568\n", " \n", " \n", "\n", - "

984 rows × 6 columns

\n", + "

14989 rows × 6 columns

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"979 2822879 \n", - "980 2823442 \n", - "981 2823850 \n", - "982 2836262 \n", - "983 2849737 \n", + " household_id \n", + "0 1918 \n", + "1 2256 \n", + "2 3215 \n", + "3 4362 \n", + "4 5859 \n", + "... ... \n", + "14984 2859659 \n", + "14985 2861083 \n", + "14986 2861897 \n", + "14987 2868838 \n", + "14988 2870568 \n", "\n", - "[984 rows x 6 columns]" + "[14989 rows x 6 columns]" ] }, "execution_count": 7, @@ -916,9 +953,9 @@ " 7\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 3\n", " 5.89564\n", " 2.875000\n", @@ -940,9 +977,9 @@ " 19\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.84871\n", " 5.195214\n", @@ -964,9 +1001,9 @@ " 38\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.53231\n", " 80.470405\n", @@ -988,9 +1025,9 @@ " 20\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 2\n", " 5.64330\n", " 7.947368\n", @@ -1012,9 +1049,9 @@ " 86\n", " ...\n", " 0\n", - " 0.00000\n", + " 0.0\n", " 72.14684\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.52555\n", " 38.187500\n", @@ -1047,188 +1084,188 @@ " ...\n", " \n", " \n", - " 186\n", - " 4\n", - " 4\n", - " 1\n", - " 2779\n", - " 8062\n", - " 376.0\n", - " 172.0\n", - " 15.00000\n", - " 1760\n", - " 1178\n", + " 1450\n", + " 34\n", + " 34\n", + " 9\n", + " 2724\n", + " 6493\n", + " 1320.0\n", + " 630.0\n", + " 69.00000\n", + " 1046\n", + " 1013\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 4\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.04173\n", - " 14.860963\n", - " 9.411765\n", - " 5.762347\n", + " 1.12116\n", + " 3.896996\n", + " 1.496423\n", + " 1.081235\n", " False\n", " \n", " \n", - " 187\n", - " 4\n", - " 4\n", - " 1\n", - " 1492\n", - " 4139\n", - " 214.0\n", - " 116.0\n", - " 10.00000\n", - " 808\n", - " 603\n", + " 1451\n", + " 34\n", + " 34\n", + " 9\n", + " 2016\n", + " 4835\n", + " 664.0\n", + " 379.0\n", + " 43.00000\n", + " 757\n", + " 757\n", " ...\n", - " 3\n", - 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" 2\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.88773\n", - " 45.461538\n", - " 2.897436\n", - " 2.723836\n", + " 1.01972\n", + " 0.688222\n", + " 2.129330\n", + " 0.520115\n", " False\n", " \n", " \n", - " 190\n", - " 4\n", - " 4\n", - " 1\n", - " 968\n", - " 1647\n", - " 1381.0\n", - " 14.0\n", - " 28.00000\n", - " 1010\n", - " 114\n", + " 1454\n", + " 34\n", + " 34\n", + " 9\n", + " 1068\n", + " 2337\n", + " 10469.0\n", + " 1114.0\n", + " 27.00000\n", + " 607\n", + " 418\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.60309\n", - " 23.047619\n", - " 24.047619\n", - " 11.768501\n", + " 0.95542\n", + " 0.936021\n", + " 0.531989\n", + " 0.339203\n", " False\n", " \n", " \n", "\n", - "

190 rows × 28 columns

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1454 rows × 28 columns

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keyvalue
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['AGE0519*(school_segment==1)',\n",
+       " 'COLLFTE*(school_segment==3)',\n",
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+       " 'util_dist_5_15*(school_segment==3)',\n",
+       " 'util_mode_choice_logsum*(school_segment==1)',\n",
+       " 'util_mode_choice_logsum*(school_segment==2)',\n",
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+       " 'util_no_attractions*(school_segment==3)',\n",
+       " 'util_sample_of_corrections_factor*(school_segment==1)',\n",
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+       " 'util_sample_of_corrections_factor*(school_segment==3)']
choice_ca'override_choice == _original_zone_id'
avail_ca'_avail_'
" + ], + "text/plain": [ + "┣ ca: ['AGE0519*(school_segment==1)',\n", + "┃ 'COLLFTE*(school_segment==3)',\n", + "┃ 'COLLPTE*(school_segment==3)',\n", + "┃ 'HSENROLL*(school_segment==2)',\n", + "┃ 'util_dist_0_1*(school_segment==1)',\n", + "┃ 'util_dist_0_1*(school_segment==2)',\n", + "┃ 'util_dist_0_1*(school_segment==3)',\n", + "┃ 'util_dist_15_up*(school_segment==1)',\n", + "┃ 'util_dist_15_up*(school_segment==2)',\n", + "┃ 'util_dist_15_up*(school_segment==3)',\n", + "┃ 'util_dist_1_2*(school_segment==1)',\n", + "┃ 'util_dist_1_2*(school_segment==2)',\n", + "┃ 'util_dist_1_2*(school_segment==3)',\n", + "┃ 'util_dist_2_5*(school_segment==1)',\n", + "┃ 'util_dist_2_5*(school_segment==2)',\n", + "┃ 'util_dist_2_5*(school_segment==3)',\n", + "┃ 'util_dist_5_15*(school_segment==1)',\n", + "┃ 'util_dist_5_15*(school_segment==2)',\n", + "┃ 'util_dist_5_15*(school_segment==3)',\n", + "┃ 'util_mode_choice_logsum*(school_segment==1)',\n", + "┃ 'util_mode_choice_logsum*(school_segment==2)',\n", + "┃ 'util_mode_choice_logsum*(school_segment==3)',\n", + "┃ 'util_no_attractions*(school_segment==1)',\n", + "┃ 'util_no_attractions*(school_segment==2)',\n", + "┃ 'util_no_attractions*(school_segment==3)',\n", + "┃ 'util_sample_of_corrections_factor*(school_segment==1)',\n", + "┃ 'util_sample_of_corrections_factor*(school_segment==2)',\n", + "┃ 'util_sample_of_corrections_factor*(school_segment==3)']\n", + "┣ choice_ca: 'override_choice == _original_zone_id'\n", + "┣ avail_ca: '_avail_'" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.required_data()" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Estimate\n", - "\n", - "With the model setup for estimation, the next step is to estimate the model coefficients. Make sure to use a sufficiently large enough household sample and set of zones to avoid an over-specified model, which does not have a numerically stable likelihood maximizing solution. Larch has a built-in estimation methods including BHHH, and also offers access to more advanced general purpose non-linear optimizers in the `scipy` package, including SLSQP, which allows for bounds and constraints on parameters. BHHH is the default and typically runs faster, but does not follow constraints on parameters." + "Running the `doctor` method will check the model specification for potential issues." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "dictx()\n" ] - }, + } + ], + "source": [ + "model, problems = model.doctor()\n", + "\n", + "print(problems)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Estimate\n", + "\n", + "With the model setup for estimation, the next step is to estimate the model coefficients. Make sure to use a sufficiently large enough household sample and set of zones to avoid an over-specified model, which does not have a numerically stable likelihood maximizing solution. Larch has a built-in estimation methods including BHHH, and also offers access to more advanced general purpose non-linear optimizers in the `scipy` package, including SLSQP, which allows for bounds and constraints on parameters. BHHH is the default and typically runs faster, but does not follow constraints on parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "

Iteration 006 [Optimization terminated successfully.]

" + "

Iteration 013 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1534,7 +1669,7 @@ { "data": { "text/html": [ - "

Best LL = -4058.719620832402

" + "

Best LL = -30424.700914962996

" ], "text/plain": [ "" @@ -1565,13 +1700,22 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1579,301 +1723,261 @@ " -999\n", " -999.000000\n", " -999.000000\n", - " -999.0\n", - " -999.0\n", - " -999.0\n", - " 1\n", - " \n", " -999.000000\n", + " -999.000000\n", + " -999.000000\n", + " 0.0\n", + " 1\n", " \n", " \n", " 1\n", " 1.000000\n", " 1.000000\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1\n", - " \n", " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 0.0\n", + " 1\n", " \n", " \n", " coef_grade_dist_0_1\n", - " -1.824840\n", + " -1.886212\n", + " -1.886212\n", " -1.641900\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.824840\n", " \n", " \n", " coef_grade_dist_15_up\n", + " -0.103616\n", + " -0.103616\n", " -0.046000\n", - " -0.046000\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.046000\n", " \n", " \n", " coef_grade_dist_5_15\n", - " -0.144663\n", + " -0.285452\n", + " -0.285452\n", " -0.203100\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.144663\n", " \n", " \n", " coef_high_dist_0_1\n", - " -2.106211\n", + " -0.869799\n", + " -0.869799\n", " -0.952300\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.106211\n", " \n", " \n", " coef_high_dist_15_up\n", + " -0.233127\n", + " -0.233127\n", " -0.188200\n", - " -0.188200\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.188200\n", " \n", " \n", " coef_high_dist_5_15\n", - " -0.101747\n", + " -0.285690\n", + " -0.285690\n", " -0.193000\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.101747\n", " \n", " \n", " coef_high_grade_dist_1_2\n", - 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" \n", - " -0.073000\n", " \n", " \n", " coef_univ_dist_1_2\n", - " -2.878224\n", + " -3.082102\n", + " -3.082102\n", " -2.701100\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.878224\n", " \n", " \n", " coef_univ_dist_2_5\n", - " -0.456009\n", + " -0.668470\n", + " -0.668470\n", " -0.570700\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.456009\n", " \n", " \n", " coef_univ_dist_5_15\n", - " -0.572553\n", + " -0.563338\n", + " -0.563338\n", " -0.500200\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.572553\n", " \n", " \n", " gradeschool_AGE0519\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " highschool_HSENROLL\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " university_COLLFTE\n", " -0.524249\n", " -0.524249\n", + " -0.524249\n", + " -0.524249\n", + " -0.524249\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -0.524249\n", " \n", " \n", " university_COLLPTE\n", - " -1.208828\n", + " -0.900765\n", + " -0.900765\n", " -0.896488\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -1.208828\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue nullvalue minimum maximum \\\n", - "-999 -999.000000 -999.000000 -999.0 -999.0 -999.0 \n", - "1 1.000000 1.000000 1.0 1.0 1.0 \n", - "coef_grade_dist_0_1 -1.824840 -1.641900 0.0 NaN NaN \n", - "coef_grade_dist_15_up -0.046000 -0.046000 0.0 NaN NaN \n", - "coef_grade_dist_5_15 -0.144663 -0.203100 0.0 NaN NaN \n", - "coef_high_dist_0_1 -2.106211 -0.952300 0.0 NaN NaN \n", - "coef_high_dist_15_up -0.188200 -0.188200 0.0 NaN NaN \n", - "coef_high_dist_5_15 -0.101747 -0.193000 0.0 NaN NaN \n", - "coef_high_grade_dist_1_2 -0.751852 -0.570000 0.0 NaN NaN \n", - "coef_high_grade_dist_2_5 -0.667119 -0.570000 0.0 NaN NaN \n", - "coef_mode_logsum 0.372245 0.535800 0.0 NaN NaN \n", - "coef_univ_dist_0_1 -3.311744 -3.245100 0.0 NaN NaN \n", - "coef_univ_dist_15_up -0.073000 -0.073000 0.0 NaN NaN \n", - "coef_univ_dist_1_2 -2.878224 -2.701100 0.0 NaN NaN \n", - "coef_univ_dist_2_5 -0.456009 -0.570700 0.0 NaN NaN \n", - "coef_univ_dist_5_15 -0.572553 -0.500200 0.0 NaN NaN \n", - "gradeschool_AGE0519 0.000000 0.000000 0.0 -6.0 6.0 \n", - "highschool_HSENROLL 0.000000 0.000000 0.0 -6.0 6.0 \n", - "university_COLLFTE -0.524249 -0.524249 0.0 -6.0 6.0 \n", - "university_COLLPTE -1.208828 -0.896488 0.0 -6.0 6.0 \n", + " value best initvalue minimum \\\n", + "param_name \n", + "-999 -999.000000 -999.000000 -999.000000 -999.000000 \n", + "1 1.000000 1.000000 1.000000 1.000000 \n", + "coef_grade_dist_0_1 -1.886212 -1.886212 -1.641900 -25.000000 \n", + "coef_grade_dist_15_up -0.103616 -0.103616 -0.046000 -25.000000 \n", + "coef_grade_dist_5_15 -0.285452 -0.285452 -0.203100 -25.000000 \n", + "coef_high_dist_0_1 -0.869799 -0.869799 -0.952300 -25.000000 \n", + "coef_high_dist_15_up -0.233127 -0.233127 -0.188200 -25.000000 \n", + "coef_high_dist_5_15 -0.285690 -0.285690 -0.193000 -25.000000 \n", + "coef_high_grade_dist_1_2 -0.931692 -0.931692 -0.570000 -25.000000 \n", + "coef_high_grade_dist_2_5 -0.694687 -0.694687 -0.570000 -25.000000 \n", + "coef_mode_logsum 0.074994 0.074994 0.535800 -25.000000 \n", + "coef_univ_dist_0_1 -2.780799 -2.780799 -3.245100 -25.000000 \n", + "coef_univ_dist_15_up -0.145257 -0.145257 -0.073000 -25.000000 \n", + "coef_univ_dist_1_2 -3.082102 -3.082102 -2.701100 -25.000000 \n", + "coef_univ_dist_2_5 -0.668470 -0.668470 -0.570700 -25.000000 \n", + "coef_univ_dist_5_15 -0.563338 -0.563338 -0.500200 -25.000000 \n", + "gradeschool_AGE0519 0.000000 0.000000 0.000000 0.000000 \n", + "highschool_HSENROLL 0.000000 0.000000 0.000000 0.000000 \n", + "university_COLLFTE -0.524249 -0.524249 -0.524249 -0.524249 \n", + "university_COLLPTE -0.900765 -0.900765 -0.896488 -6.000000 \n", "\n", - 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tolerance4.213233078884777e-06stepsarray([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])message'Optimization terminated successfully'elapsed_time0:00:00.994749method'BHHH'n_cases14989iteration_number13
" ], "text/plain": [ - "┣ loglike: -4058.719620832402\n", + "┣ loglike: -30424.700914962996\n", "┣ x: -999 -999.000000\n", "┃ 1 1.000000\n", - "┃ coef_grade_dist_0_1 -1.824840\n", - "┃ coef_grade_dist_15_up -0.046000\n", - "┃ coef_grade_dist_5_15 -0.144663\n", - "┃ coef_high_dist_0_1 -2.106211\n", - "┃ coef_high_dist_15_up -0.188200\n", - "┃ coef_high_dist_5_15 -0.101747\n", - "┃ coef_high_grade_dist_1_2 -0.751852\n", - "┃ coef_high_grade_dist_2_5 -0.667119\n", - "┃ coef_mode_logsum 0.372245\n", - "┃ coef_univ_dist_0_1 -3.311744\n", - "┃ coef_univ_dist_15_up -0.073000\n", - "┃ coef_univ_dist_1_2 -2.878224\n", - "┃ coef_univ_dist_2_5 -0.456009\n", - "┃ coef_univ_dist_5_15 -0.572553\n", + "┃ coef_grade_dist_0_1 -1.886212\n", + "┃ coef_grade_dist_15_up -0.103616\n", + "┃ coef_grade_dist_5_15 -0.285452\n", + "┃ coef_high_dist_0_1 -0.869799\n", + "┃ coef_high_dist_15_up -0.233127\n", + "┃ coef_high_dist_5_15 -0.285690\n", + "┃ coef_high_grade_dist_1_2 -0.931692\n", + "┃ coef_high_grade_dist_2_5 -0.694687\n", + "┃ coef_mode_logsum 0.074994\n", + "┃ coef_univ_dist_0_1 -2.780799\n", + "┃ coef_univ_dist_15_up -0.145257\n", + "┃ coef_univ_dist_1_2 -3.082102\n", + "┃ coef_univ_dist_2_5 -0.668470\n", + "┃ coef_univ_dist_5_15 -0.563338\n", "┃ gradeschool_AGE0519 0.000000\n", "┃ highschool_HSENROLL 0.000000\n", "┃ university_COLLFTE -0.524249\n", - "┃ university_COLLPTE -1.208828\n", + "┃ university_COLLPTE -0.900765\n", "┃ dtype: float64\n", - "┣ tolerance: 7.272237631812952e-06\n", - "┣ steps: array([1., 1., 1., 1., 1., 1.])\n", - "┣ message: 'Optimization terminated successfully.'\n", - "┣ elapsed_time: datetime.timedelta(microseconds=218468)\n", + "┣ tolerance: 4.213233078884777e-06\n", + "┣ steps: array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ elapsed_time: datetime.timedelta(microseconds=994749)\n", "┣ method: 'BHHH'\n", - "┣ n_cases: 984\n", - "┣ iteration_number: 6\n", - "┣ logloss: 4.124715061821547" + "┣ n_cases: 14989\n", + "┣ iteration_number: 13" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -2015,209 +2118,235 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Value Std Err t Stat Signif Null Value Constrained
-999-999. NA NA-999.00fixed value
1 1.00 NA NA 1.00fixed value
coef_grade_dist_0_1-1.82 0.435-4.19*** 0.00
coef_grade_dist_15_up-0.0460 4.66e-15-BIG*** 0.00
coef_grade_dist_5_15-0.145 0.0638-2.27* 0.00
coef_high_dist_0_1-2.11 0.801-2.63** 0.00
coef_high_dist_15_up-0.188 3.34e-15-BIG*** 0.00
coef_high_dist_5_15-0.102 0.143-0.71 0.00
coef_high_grade_dist_1_2-0.752 0.186-4.05*** 0.00
coef_high_grade_dist_2_5-0.667 0.0510-13.09*** 0.00
coef_mode_logsum 0.372 0.0461 8.08*** 0.00
coef_univ_dist_0_1-3.31 0.740-4.47*** 0.00
coef_univ_dist_15_up-0.0730 3.48e-16-BIG*** 0.00
coef_univ_dist_1_2-2.88 0.299-9.64*** 0.00
coef_univ_dist_2_5-0.456 0.0773-5.90*** 0.00
coef_univ_dist_5_15-0.573 0.0938-6.11*** 0.00
gradeschool_AGE0519 0.00 NA NA 0.00fixed value
highschool_HSENROLL 0.00 NA NA 0.00fixed value
university_COLLFTE-0.524 NA NA 0.00fixed value
university_COLLPTE-1.21 0.314-3.85*** 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
-999-999. 0.00 NA 0.00fixed value
1 1.00 0.00 NA 0.00fixed value
coef_grade_dist_0_1-1.89 0.0843-22.37*** 0.00
coef_grade_dist_15_up-0.104 0.00536-19.34*** 0.00
coef_grade_dist_5_15-0.285 0.00724-39.45*** 0.00
coef_high_dist_0_1-0.870 0.302-2.88** 0.00
coef_high_dist_15_up-0.233 0.0225-10.36*** 0.00
coef_high_dist_5_15-0.286 0.0124-23.10*** 0.00
coef_high_grade_dist_1_2-0.932 0.0424-22.00*** 0.00
coef_high_grade_dist_2_5-0.695 0.0138-50.31*** 0.00
coef_mode_logsum 0.0750 0.0118 6.35*** 0.00
coef_univ_dist_0_1-2.78 0.391-7.11*** 0.00
coef_univ_dist_15_up-0.145 0.0105-13.85*** 0.00
coef_univ_dist_1_2-3.08 0.168-18.34*** 0.00
coef_univ_dist_2_5-0.668 0.0383-17.46*** 0.00
coef_univ_dist_5_15-0.563 0.0167-33.63*** 0.00
gradeschool_AGE0519 0.00 0.00 NA 0.00fixed value
highschool_HSENROLL 0.00 0.00 NA 0.00fixed value
university_COLLFTE-0.524 0.00 NA 0.00fixed value
university_COLLPTE-0.901 0.0959-9.39*** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -2226,6 +2355,29 @@ "model.parameter_summary()" ] }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
StatisticAggregatePer Case
Number of Cases14989
Log Likelihood at Convergence-30424.70-2.03
Log Likelihood at Null Parameters-71673.19-4.78
Rho Squared w.r.t. Null Parameters0.576
" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.estimation_statistics()" + ] + }, { "cell_type": "markdown", "metadata": { @@ -2238,7 +2390,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -2255,7 +2407,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -2274,7 +2426,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -2391,8 +2543,8 @@ " 0.000000\n", " 0.000\n", " 0.000000\n", - " 0.664760\n", - " 0.335240\n", + " 0.593032\n", + " 0.406968\n", " \n", " \n", " 5\n", @@ -2700,7 +2852,7 @@ "1 0.139139 0.008008 0.210210 0.000 0.000000 0.000000 0.000000 \n", "2 0.154000 0.006000 0.239000 0.000 0.000000 0.000000 0.000000 \n", "3 0.146000 0.004000 0.246000 0.000 0.000000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000 0.000000 0.664760 0.335240 \n", + "4 0.000000 0.000000 0.000000 0.000 0.000000 0.593032 0.406968 \n", "5 0.000000 0.000000 0.000000 1.000 0.000000 0.000000 0.000000 \n", "6 0.000000 0.000000 0.000000 0.000 1.000000 0.000000 0.000000 \n", "7 0.000000 0.000000 0.000000 0.465 0.166000 0.000000 0.000000 \n", @@ -2720,7 +2872,7 @@ "21 0.000000 0.000000 0.000000 0.000 0.000000 0.591409 0.407592 " ] }, - "execution_count": 15, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -2741,7 +2893,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -2765,7 +2917,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -2798,85 +2950,85 @@ " \n", " 0\n", " coef_univ_dist_0_1\n", - " -3.311744\n", + " -2.780799\n", " F\n", " \n", " \n", " 1\n", " coef_univ_dist_1_2\n", - " -2.878224\n", + " -3.082102\n", " F\n", " \n", " \n", " 2\n", " coef_univ_dist_2_5\n", - " -0.456009\n", + " -0.668470\n", " F\n", " \n", " \n", " 3\n", " coef_univ_dist_5_15\n", - " -0.572553\n", + " -0.563338\n", " F\n", " \n", " \n", " 4\n", " coef_univ_dist_15_up\n", - " -0.073000\n", + " -0.145257\n", " F\n", " \n", " \n", " 5\n", " coef_high_dist_0_1\n", - " -2.106211\n", + " -0.869799\n", " F\n", " \n", " \n", " 6\n", " coef_high_grade_dist_1_2\n", - " -0.751852\n", + " -0.931692\n", " F\n", " \n", " \n", " 7\n", " coef_high_grade_dist_2_5\n", - " -0.667119\n", + " -0.694687\n", " F\n", " \n", " \n", " 8\n", " coef_high_dist_5_15\n", - " -0.101747\n", + " -0.285690\n", " F\n", " \n", " \n", " 9\n", " coef_high_dist_15_up\n", - " -0.188200\n", + " -0.233127\n", " F\n", " \n", " \n", " 10\n", " coef_grade_dist_0_1\n", - " -1.824840\n", + " -1.886212\n", " F\n", " \n", " \n", " 11\n", " coef_grade_dist_5_15\n", - " -0.144663\n", + " -0.285452\n", " F\n", " \n", " \n", " 12\n", " coef_grade_dist_15_up\n", - " -0.046000\n", + " -0.103616\n", " F\n", " \n", " \n", " 13\n", " coef_mode_logsum\n", - " 0.372245\n", + " 0.074994\n", " F\n", " \n", " \n", @@ -2885,23 +3037,23 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coef_univ_dist_0_1 -3.311744 F\n", - "1 coef_univ_dist_1_2 -2.878224 F\n", - "2 coef_univ_dist_2_5 -0.456009 F\n", - "3 coef_univ_dist_5_15 -0.572553 F\n", - "4 coef_univ_dist_15_up -0.073000 F\n", - "5 coef_high_dist_0_1 -2.106211 F\n", - "6 coef_high_grade_dist_1_2 -0.751852 F\n", - "7 coef_high_grade_dist_2_5 -0.667119 F\n", - "8 coef_high_dist_5_15 -0.101747 F\n", - "9 coef_high_dist_15_up -0.188200 F\n", - "10 coef_grade_dist_0_1 -1.824840 F\n", - "11 coef_grade_dist_5_15 -0.144663 F\n", - "12 coef_grade_dist_15_up -0.046000 F\n", - "13 coef_mode_logsum 0.372245 F" + "0 coef_univ_dist_0_1 -2.780799 F\n", + "1 coef_univ_dist_1_2 -3.082102 F\n", + "2 coef_univ_dist_2_5 -0.668470 F\n", + "3 coef_univ_dist_5_15 -0.563338 F\n", + "4 coef_univ_dist_15_up -0.145257 F\n", + "5 coef_high_dist_0_1 -0.869799 F\n", + "6 coef_high_grade_dist_1_2 -0.931692 F\n", + "7 coef_high_grade_dist_2_5 -0.694687 F\n", + "8 coef_high_dist_5_15 -0.285690 F\n", + "9 coef_high_dist_15_up -0.233127 F\n", + "10 coef_grade_dist_0_1 -1.886212 F\n", + "11 coef_grade_dist_5_15 -0.285452 F\n", + "12 coef_grade_dist_15_up -0.103616 F\n", + "13 coef_mode_logsum 0.074994 F" ] }, - "execution_count": 17, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -2912,7 +3064,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -3035,8 +3187,8 @@ " 0.000000\n", " 0.000\n", " 0.000000\n", - " 0.664760\n", - " 0.335240\n", + " 0.593032\n", + " 0.406968\n", " \n", " \n", " 5\n", @@ -3361,7 +3513,7 @@ "1 0.325325 0.139139 0.008008 0.210210 0.000 0.000000 0.000000 \n", "2 0.284000 0.154000 0.006000 0.239000 0.000 0.000000 0.000000 \n", "3 0.241000 0.146000 0.004000 0.246000 0.000 0.000000 0.000000 \n", - "4 0.000000 0.000000 0.000000 0.000000 0.000 0.000000 0.664760 \n", + "4 0.000000 0.000000 0.000000 0.000000 0.000 0.000000 0.593032 \n", "5 0.000000 0.000000 0.000000 0.000000 1.000 0.000000 0.000000 \n", "6 0.000000 0.000000 0.000000 0.000000 0.000 1.000000 0.000000 \n", "7 0.144000 0.000000 0.000000 0.000000 0.465 0.166000 0.000000 \n", @@ -3385,7 +3537,7 @@ "1 0.000000 \n", "2 0.000000 \n", "3 0.000000 \n", - "4 0.335240 \n", + "4 0.406968 \n", "5 0.000000 \n", "6 0.000000 \n", "7 0.000000 \n", @@ -3405,7 +3557,7 @@ "21 0.407592 " ] }, - "execution_count": 18, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -3422,7 +3574,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3436,7 +3588,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/03_work_location.ipynb b/activitysim/examples/example_estimation/notebooks/03_work_location.ipynb index 2a9479023..4fc0fbc48 100644 --- a/activitysim/examples/example_estimation/notebooks/03_work_location.ipynb +++ b/activitysim/examples/example_estimation/notebooks/03_work_location.ipynb @@ -25,38 +25,88 @@ { "cell_type": "code", "execution_count": 1, - "metadata": {}, - "outputs": [], + "metadata": { + "jupyter": { + "is_executing": true + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.33',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import larch # !conda install larch #for estimation\n", + "import larch as lx # !conda install larch #for estimation\n", "import pandas as pd\n", - "import numpy as np\n", - "import yaml \n", - "import larch.util.excel\n", - "import os" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare, backup\n", + "\n", + "prepare()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Load data and prep model for estimation" + "In this demo notebook, we will (later) edit the model spec file. But for demo purposes, we want to\n", + "make sure we are starting from the \"original\" spec file, so we'll check that now. For actual \n", + "applications, this step would not be necessary." ] }, { @@ -65,7 +115,14 @@ "metadata": {}, "outputs": [], "source": [ - "modelname=\"workplace_location\"" + "backup(\"output-est-mode/estimation_data_bundle/workplace_location/workplace_location_SPEC.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load data and prep model for estimation" ] }, { @@ -73,9 +130,36 @@ "execution_count": 4, "metadata": {}, "outputs": [], + "source": [ + "modelname = \"workplace_location\"" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_size_terms.csv\n" + ] + } + ], "source": [ "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -96,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -187,7 +271,7 @@ "coef_mode_logsum 0.3000 F" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -205,7 +289,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -230,148 +314,142 @@ " \n", " \n", " person_id\n", - " variable\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", - " 8\n", - " ...\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", - " 190\n", + " alt_dest\n", + " prob\n", + " pick_count\n", + " mode_choice_logsum\n", + " size_term\n", + " shadow_price_size_term_adjustment\n", + " shadow_price_utility_adjustment\n", + " util_dist_0_1\n", + " util_dist_1_2\n", + " util_dist_2_5\n", + " util_dist_5_15\n", + " util_dist_15_up\n", + " util_dist_0_5_high\n", + " util_dist_15_up_high\n", + " util_size_variable\n", + " util_utility_adjustment\n", + " util_no_attractions\n", + " util_mode_logsum\n", + " util_sample_of_corrections_factor\n", " \n", " \n", " \n", " \n", " 0\n", - " 72241\n", - " mode_choice_logsum\n", - " -0.6000073826104492\n", - " -0.4656491845430101\n", - " -0.41794791684660004\n", - " -0.4545880924383482\n", - " -0.3870339464573669\n", - " -0.713189384898449\n", - " -0.6002723120707204\n", - " -0.7303789868909905\n", - " ...\n", - " -1.2551998198820722\n", - " -1.444611856370077\n", - " -1.309689434695158\n", - " -1.2118895631639268\n", - " -1.116133290115392\n", - " -1.1401586021041086\n", - " -1.268242046936546\n", - " -1.1992258811031282\n", - " -1.332212687016352\n", - " -1.4322381548918224\n", + " 72355\n", + " 2\n", + " 0.033018\n", + " 4\n", + " -1.930058\n", + " 8679.220\n", + " 1\n", + " 0\n", + " 1.0\n", + " 1.0\n", + " 3.0\n", + " 1.01\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", + " 9.068802\n", + " 0\n", + " False\n", + " -1.930058\n", + " 4.796986\n", " \n", " \n", " 1\n", - " 72241\n", - " pick_count\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " ...\n", - " 1.0\n", - " 1.0\n", - 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46476 rows × 192 columns

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766224 rows × 20 columns

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2582 rows × 5 columns

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28281 rows × 5 columns

\n", "" ], "text/plain": [ - " person_id model_choice override_choice income_segment home_zone_id\n", - "0 72241 13 9 1 17\n", - "1 72441 100 100 1 60\n", - "2 72528 139 126 1 69\n", - "3 73144 77 77 1 125\n", - "4 73493 117 117 1 133\n", - "... ... ... ... ... ...\n", - "2577 7514214 80 71 1 56\n", - "2578 7514284 187 186 1 72\n", - "2579 7514404 105 106 1 81\n", - "2580 7514777 87 87 1 106\n", - "2581 7515185 16 16 1 142\n", + " person_id model_choice override_choice income_segment home_zone_id\n", + "0 72355 14 17 1 55\n", + "1 72384 1 16 1 59\n", + "2 72407 70 70 1 59\n", + "3 72459 193 30 1 61\n", + "4 72529 16 57 1 69\n", + "... ... ... ... ... ...\n", + "28276 7539071 1006 1019 1 1006\n", + "28277 7539203 1059 1152 1 1159\n", + "28278 7539217 940 991 1 1159\n", + "28279 7539270 1162 1145 1 1161\n", + "28280 7539317 1390 1381 1 1390\n", "\n", - "[2582 rows x 5 columns]" + "[28281 rows x 5 columns]" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -795,7 +867,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -881,9 +953,9 @@ " 7\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 3\n", " 5.89564\n", " 2.875000\n", @@ -905,9 +977,9 @@ " 19\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.84871\n", " 5.195214\n", @@ -929,9 +1001,9 @@ " 38\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.53231\n", " 80.470405\n", @@ -953,9 +1025,9 @@ " 20\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 2\n", " 5.64330\n", " 7.947368\n", @@ -977,9 +1049,9 @@ " 86\n", " ...\n", " 0\n", - " 0.00000\n", + " 0.0\n", " 72.14684\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.52555\n", " 38.187500\n", @@ -1012,191 +1084,191 @@ " ...\n", " \n", " \n", - " 186\n", - " 4\n", - " 4\n", - " 1\n", - " 2779\n", - " 8062\n", - " 376.0\n", - " 172.0\n", - " 15.00000\n", - " 1760\n", - " 1178\n", + " 1450\n", + " 34\n", + " 34\n", + " 9\n", + " 2724\n", + " 6493\n", + " 1320.0\n", + " 630.0\n", + " 69.00000\n", + " 1046\n", + " 1013\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 4\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.04173\n", - " 14.860963\n", - " 9.411765\n", - " 5.762347\n", + " 1.12116\n", + " 3.896996\n", + " 1.496423\n", + " 1.081235\n", " False\n", " \n", " \n", - " 187\n", - " 4\n", - " 4\n", - " 1\n", - " 1492\n", - " 4139\n", - " 214.0\n", - " 116.0\n", - " 10.00000\n", - " 808\n", - " 603\n", + " 1451\n", + " 34\n", + " 34\n", + " 9\n", + " 2016\n", + " 4835\n", + " 664.0\n", + " 379.0\n", + " 43.00000\n", + " 757\n", + " 757\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 4\n", + " 0.0\n", " 0.00000\n", - " 2\n", - " 1.73676\n", - " 11.841270\n", - " 6.412698\n", - " 4.159890\n", + " 0.0\n", + " 1\n", + " 1.17116\n", + " 4.777251\n", + " 1.793839\n", + " 1.304140\n", " False\n", " \n", " \n", - " 188\n", - " 4\n", - " 4\n", - " 1\n", - " 753\n", - " 4072\n", - " 232.0\n", - " 11.0\n", - " 178.00000\n", - " 4502\n", - " 1117\n", + " 1452\n", + " 34\n", + " 34\n", + " 9\n", + " 2178\n", + " 5055\n", + " 1068.0\n", + " 602.0\n", + " 35.00000\n", + " 2110\n", + " 789\n", " ...\n", - " 2\n", - " 3961.04761\n", - " 17397.79102\n", - " 11152.93652\n", + " 4\n", + " 0.0\n", + " 0.00000\n", + " 0.0\n", " 1\n", - " 2.28992\n", - " 3.984127\n", - " 23.820106\n", - " 3.413233\n", + " 1.17587\n", + " 3.419152\n", + " 3.312402\n", + " 1.682465\n", " False\n", " \n", " \n", - " 189\n", - " 4\n", - " 4\n", - " 1\n", - " 3546\n", - " 8476\n", - " 201.0\n", - " 72.0\n", - " 6.00000\n", - " 226\n", - " 1057\n", + " 1453\n", + " 34\n", + " 34\n", + " 9\n", + " 298\n", + " 779\n", + " 14195.0\n", + " 429.0\n", + " 4.00000\n", + " 922\n", + " 88\n", " ...\n", - " 2\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.88773\n", - " 45.461538\n", - " 2.897436\n", - " 2.723836\n", + " 1.01972\n", + " 0.688222\n", + " 2.129330\n", + " 0.520115\n", " False\n", " \n", " \n", - " 190\n", - " 4\n", - " 4\n", - " 1\n", - " 968\n", - " 1647\n", - " 1381.0\n", - " 14.0\n", - " 28.00000\n", - " 1010\n", - " 114\n", + " 1454\n", + " 34\n", + " 34\n", + " 9\n", + " 1068\n", + " 2337\n", + " 10469.0\n", + " 1114.0\n", + " 27.00000\n", + " 607\n", + " 418\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.60309\n", - " 23.047619\n", - " 24.047619\n", - " 11.768501\n", + " 0.95542\n", + " 0.936021\n", + " 0.531989\n", + " 0.339203\n", " False\n", " \n", " \n", "\n", - "

190 rows × 28 columns

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1454 rows × 28 columns

\n", "" ], "text/plain": [ - " DISTRICT SD county_id TOTHH TOTPOP TOTACRE RESACRE CIACRE \\\n", - "zone_id \n", - "1 1 1 1 46 82 20.3 1.0 15.00000 \n", - "2 1 1 1 134 240 31.1 1.0 24.79297 \n", - "3 1 1 1 267 476 14.7 1.0 2.31799 \n", - "4 1 1 1 151 253 19.3 1.0 18.00000 \n", - "5 1 1 1 611 1069 52.7 1.0 15.00000 \n", - "... ... .. ... ... ... ... ... ... \n", - "186 4 4 1 2779 8062 376.0 172.0 15.00000 \n", - "187 4 4 1 1492 4139 214.0 116.0 10.00000 \n", - "188 4 4 1 753 4072 232.0 11.0 178.00000 \n", - "189 4 4 1 3546 8476 201.0 72.0 6.00000 \n", - "190 4 4 1 968 1647 1381.0 14.0 28.00000 \n", + " DISTRICT SD county_id TOTHH TOTPOP TOTACRE RESACRE CIACRE \\\n", + "zone_id \n", + "1 1 1 1 46 82 20.3 1.0 15.00000 \n", + "2 1 1 1 134 240 31.1 1.0 24.79297 \n", + "3 1 1 1 267 476 14.7 1.0 2.31799 \n", + "4 1 1 1 151 253 19.3 1.0 18.00000 \n", + "5 1 1 1 611 1069 52.7 1.0 15.00000 \n", + "... ... .. ... ... ... ... ... ... \n", + "1450 34 34 9 2724 6493 1320.0 630.0 69.00000 \n", + "1451 34 34 9 2016 4835 664.0 379.0 43.00000 \n", + "1452 34 34 9 2178 5055 1068.0 602.0 35.00000 \n", + "1453 34 34 9 298 779 14195.0 429.0 4.00000 \n", + "1454 34 34 9 1068 2337 10469.0 1114.0 27.00000 \n", "\n", - " TOTEMP AGE0519 ... area_type HSENROLL COLLFTE \\\n", - "zone_id ... \n", - "1 27318 7 ... 0 0.00000 0.00000 \n", - "2 42078 19 ... 0 0.00000 0.00000 \n", - "3 2445 38 ... 0 0.00000 0.00000 \n", - "4 22434 20 ... 0 0.00000 0.00000 \n", - "5 15662 86 ... 0 0.00000 72.14684 \n", - "... ... ... ... ... ... ... \n", - "186 1760 1178 ... 3 0.00000 0.00000 \n", - "187 808 603 ... 3 0.00000 0.00000 \n", - "188 4502 1117 ... 2 3961.04761 17397.79102 \n", - "189 226 1057 ... 2 0.00000 0.00000 \n", - "190 1010 114 ... 3 0.00000 0.00000 \n", + " TOTEMP AGE0519 ... area_type HSENROLL COLLFTE COLLPTE \\\n", + "zone_id ... \n", + "1 27318 7 ... 0 0.0 0.00000 0.0 \n", + "2 42078 19 ... 0 0.0 0.00000 0.0 \n", + "3 2445 38 ... 0 0.0 0.00000 0.0 \n", + "4 22434 20 ... 0 0.0 0.00000 0.0 \n", + "5 15662 86 ... 0 0.0 72.14684 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1450 1046 1013 ... 4 0.0 0.00000 0.0 \n", + "1451 757 757 ... 4 0.0 0.00000 0.0 \n", + "1452 2110 789 ... 4 0.0 0.00000 0.0 \n", + "1453 922 88 ... 5 0.0 0.00000 0.0 \n", + "1454 607 418 ... 5 0.0 0.00000 0.0 \n", "\n", - " COLLPTE TOPOLOGY TERMINAL household_density \\\n", - "zone_id \n", - "1 0.00000 3 5.89564 2.875000 \n", - "2 0.00000 1 5.84871 5.195214 \n", - "3 0.00000 1 5.53231 80.470405 \n", - "4 0.00000 2 5.64330 7.947368 \n", - "5 0.00000 1 5.52555 38.187500 \n", - "... ... ... ... ... \n", - "186 0.00000 1 2.04173 14.860963 \n", - "187 0.00000 2 1.73676 11.841270 \n", - "188 11152.93652 1 2.28992 3.984127 \n", - "189 0.00000 1 2.88773 45.461538 \n", - "190 0.00000 1 2.60309 23.047619 \n", + " TOPOLOGY TERMINAL household_density employment_density \\\n", + "zone_id \n", + "1 3 5.89564 2.875000 1707.375000 \n", + "2 1 5.84871 5.195214 1631.374751 \n", + "3 1 5.53231 80.470405 736.891913 \n", + "4 2 5.64330 7.947368 1180.736842 \n", + "5 1 5.52555 38.187500 978.875000 \n", + "... ... ... ... ... \n", + "1450 1 1.12116 3.896996 1.496423 \n", + "1451 1 1.17116 4.777251 1.793839 \n", + "1452 1 1.17587 3.419152 3.312402 \n", + "1453 1 1.01972 0.688222 2.129330 \n", + "1454 1 0.95542 0.936021 0.531989 \n", "\n", - " employment_density density_index is_cbd \n", - "zone_id \n", - "1 1707.375000 2.870167 False \n", - "2 1631.374751 5.178722 False \n", - "3 736.891913 72.547987 False \n", - "4 1180.736842 7.894233 False \n", - "5 978.875000 36.753679 False \n", - "... ... ... ... \n", - "186 9.411765 5.762347 False \n", - "187 6.412698 4.159890 False \n", - "188 23.820106 3.413233 False \n", - "189 2.897436 2.723836 False \n", - "190 24.047619 11.768501 False \n", + " density_index is_cbd \n", + "zone_id \n", + "1 2.870167 False \n", + "2 5.178722 False \n", + "3 72.547987 False \n", + "4 7.894233 False \n", + "5 36.753679 False \n", + "... ... ... \n", + "1450 1.081235 False \n", + "1451 1.304140 False \n", + "1452 1.682465 False \n", + "1453 0.520115 False \n", + "1454 0.339203 False \n", "\n", - "[190 rows x 28 columns]" + "[1454 rows x 28 columns]" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1214,7 +1286,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -1357,7 +1429,7 @@ "9 @np.minimum(np.log(df.pick_count/df.prob), 60) 1 " ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1375,7 +1447,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1466,7 +1538,7 @@ "work_veryhigh 0.093 0.270 0.241 0.146 0.004 0.246" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1486,20 +1558,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 475 [Optimization terminated successfully.]

" + "

Iteration 009 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1511,7 +1576,7 @@ { "data": { "text/html": [ - "

Best LL = -13521.35475538419

" + "

Best LL = -88683.85038605405

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"work_veryhigh_RETEMPN -2.375156 -2.375156 0.0 -6.0 6.0 \n", + " value best initvalue minimum \\\n", + "param_name \n", + "-999 -9.990000e+02 -9.990000e+02 -999.000000 -999.000000 \n", + "1 1.000000e+00 1.000000e+00 1.000000 1.000000 \n", + "coef_dist_0_1 -1.035381e+00 -1.035381e+00 -0.842800 -25.000000 \n", + "coef_dist_0_5_high 1.469662e-01 1.469662e-01 0.150000 -25.000000 \n", + "coef_dist_15_up -1.170512e-01 -1.170512e-01 -0.091700 -25.000000 \n", + "coef_dist_1_2 -4.652491e-01 -4.652491e-01 -0.310400 -25.000000 \n", + "coef_dist_2_5 -4.177477e-01 -4.177477e-01 -0.378300 -25.000000 \n", + "coef_dist_5_15 -1.558734e-01 -1.558734e-01 -0.128500 -25.000000 \n", + "coef_dist_5_up_high 2.506728e-02 2.506728e-02 0.020000 -25.000000 \n", + "coef_mode_logsum 7.423654e-02 7.423654e-02 0.300000 -25.000000 \n", + "work_high_AGREMPN -1.856268e+00 -1.856268e+00 -5.115996 -6.000000 \n", + "work_high_FPSEMPN -1.895722e+00 -1.895722e+00 -1.575037 -6.000000 \n", + "work_high_HEREMPN -1.698263e+00 -1.698263e+00 -1.258781 -6.000000 \n", + "work_high_MWTEMPN -1.815687e+00 -1.815687e+00 -1.431292 -6.000000 \n", + "work_high_OTHEMPN -2.187482e+00 -2.187482e+00 -1.870803 -6.000000 \n", + "work_high_RETEMPN -2.207275e+00 -2.207275e+00 -2.207275 -2.207275 \n", + "work_low_AGREMPN -7.178467e+01 -7.178467e+01 -4.605170 -6.000000 \n", + "work_low_FPSEMPN -1.507959e+00 -1.507959e+00 -1.645065 -6.000000 \n", + "work_low_HEREMPN -8.190703e-01 -8.190703e-01 -0.959720 -6.000000 \n", + "work_low_MWTEMPN -1.980587e+00 -1.980587e+00 -1.807889 -6.000000 \n", + "work_low_OTHEMPN -2.021455e+00 -2.021455e+00 -2.120264 -6.000000 \n", + "work_low_RETEMPN -2.047943e+00 -2.047943e+00 -2.047943 -2.047943 \n", + "work_med_AGREMPN -8.087999e+64 -8.087999e+64 -4.828314 -6.000000 \n", + "work_med_FPSEMPN -2.151306e+00 -2.151306e+00 -1.624552 -6.000000 \n", + "work_med_HEREMPN -1.606036e+00 -1.606036e+00 -1.123930 -6.000000 \n", + "work_med_MWTEMPN -2.043992e+00 -2.043992e+00 -1.560648 -6.000000 \n", + "work_med_OTHEMPN -2.172089e+00 -2.172089e+00 -1.973281 -6.000000 \n", + "work_med_RETEMPN -2.120264e+00 -2.120264e+00 -2.120264 -2.120264 \n", + "work_veryhigh_AGREMPN -6.042012e+00 -6.042012e+00 -5.521461 -6.000000 \n", + "work_veryhigh_FPSEMPN -1.838134e+00 -1.838134e+00 -1.309333 -6.000000 \n", + "work_veryhigh_HEREMPN -1.992130e+00 -1.992130e+00 -1.422958 -6.000000 \n", + "work_veryhigh_MWTEMPN -1.763131e+00 -1.763131e+00 -1.402424 -6.000000 \n", + "work_veryhigh_OTHEMPN -2.509024e+00 -2.509024e+00 -1.924149 -6.000000 \n", + "work_veryhigh_RETEMPN -2.375156e+00 -2.375156e+00 -2.375156 -2.375156 \n", "\n", - " holdfast note best \n", - "-999 1 -999.000000 \n", - "1 1 1.000000 \n", - "coef_dist_0_1 0 -1.084778 \n", - "coef_dist_0_5_high 0 0.120981 \n", - "coef_dist_15_up 0 -0.091700 \n", - "coef_dist_1_2 0 -0.252580 \n", - "coef_dist_2_5 0 -0.369689 \n", - "coef_dist_5_15 0 -0.152259 \n", - "coef_dist_5_up_high 0 -0.015225 \n", - "coef_mode_logsum 0 0.155426 \n", - "work_high_AGREMPN 0 -14.042031 \n", - "work_high_FPSEMPN 0 -2.021234 \n", - "work_high_HEREMPN 0 -1.578781 \n", - "work_high_MWTEMPN 0 -2.074250 \n", - "work_high_OTHEMPN 0 -2.145558 \n", - "work_high_RETEMPN 1 -2.207275 \n", - "work_low_AGREMPN 0 -40.734929 \n", - "work_low_FPSEMPN 0 -0.670108 \n", - "work_low_HEREMPN 0 0.087905 \n", - "work_low_MWTEMPN 0 -0.373028 \n", - "work_low_OTHEMPN 0 -0.705270 \n", - "work_low_RETEMPN 1 -2.047943 \n", - "work_med_AGREMPN 0 -14.886841 \n", - "work_med_FPSEMPN 0 -1.942050 \n", - "work_med_HEREMPN 0 -1.382809 \n", - "work_med_MWTEMPN 0 -0.910436 \n", - "work_med_OTHEMPN 0 -2.535326 \n", - "work_med_RETEMPN 1 -2.120264 \n", - "work_veryhigh_AGREMPN 0 -0.277725 \n", - "work_veryhigh_FPSEMPN 0 -1.757306 \n", - "work_veryhigh_HEREMPN 0 -1.621894 \n", - "work_veryhigh_MWTEMPN 0 -1.722069 \n", - "work_veryhigh_OTHEMPN 0 -2.483268 \n", - "work_veryhigh_RETEMPN 1 -2.375156 " + " maximum nullvalue holdfast \n", + "param_name \n", + "-999 -999.000000 0.0 1 \n", + "1 1.000000 0.0 1 \n", + "coef_dist_0_1 25.000000 0.0 0 \n", + "coef_dist_0_5_high 25.000000 0.0 0 \n", + "coef_dist_15_up 25.000000 0.0 0 \n", + "coef_dist_1_2 25.000000 0.0 0 \n", + "coef_dist_2_5 25.000000 0.0 0 \n", + "coef_dist_5_15 25.000000 0.0 0 \n", + "coef_dist_5_up_high 25.000000 0.0 0 \n", + "coef_mode_logsum 25.000000 0.0 0 \n", + "work_high_AGREMPN 6.000000 0.0 0 \n", + "work_high_FPSEMPN 6.000000 0.0 0 \n", + "work_high_HEREMPN 6.000000 0.0 0 \n", + "work_high_MWTEMPN 6.000000 0.0 0 \n", + "work_high_OTHEMPN 6.000000 0.0 0 \n", + "work_high_RETEMPN -2.207275 0.0 1 \n", + "work_low_AGREMPN 6.000000 0.0 0 \n", + "work_low_FPSEMPN 6.000000 0.0 0 \n", + "work_low_HEREMPN 6.000000 0.0 0 \n", + "work_low_MWTEMPN 6.000000 0.0 0 \n", + "work_low_OTHEMPN 6.000000 0.0 0 \n", + "work_low_RETEMPN -2.047943 0.0 1 \n", + "work_med_AGREMPN 6.000000 0.0 0 \n", + "work_med_FPSEMPN 6.000000 0.0 0 \n", + "work_med_HEREMPN 6.000000 0.0 0 \n", + "work_med_MWTEMPN 6.000000 0.0 0 \n", + "work_med_OTHEMPN 6.000000 0.0 0 \n", + "work_med_RETEMPN -2.120264 0.0 1 \n", + "work_veryhigh_AGREMPN 6.000000 0.0 0 \n", + "work_veryhigh_FPSEMPN 6.000000 0.0 0 \n", + "work_veryhigh_HEREMPN 6.000000 0.0 0 \n", + "work_veryhigh_MWTEMPN 6.000000 0.0 0 \n", + "work_veryhigh_OTHEMPN 6.000000 0.0 0 \n", + "work_veryhigh_RETEMPN -2.375156 0.0 1 " ] }, "metadata": {}, @@ -2011,1040 +2053,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 6.58075738982826e-14 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.609108514589023e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 4.858994087802833e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 4.590724503258719e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.764703716398322e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.95965356556717e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.818442093095742e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 5.03392554043634e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.5381467152499962e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - 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" warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.1462882066859337e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.2236450588660233e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.957773169475355e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.403629593864148e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - 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" warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.8356027731239294e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.1421351948148873e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.2122137179899207e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.361811071723201e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.424246392034423e-17 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 9.833431869070201e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.3560892176329117e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.3002356046314505e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.14760641170999e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.5893755977713855e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.2242791423085704e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.840228498303649e-17 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.821310614405388e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - 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" warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.874082949306298e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.371793040685402e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.938572491694241e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.246124180526511e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.141265756002516e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.100401477984635e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.5378782864186965e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.9313922953760897e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.1977191783387483e-15 in general_inverse\n", - 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"/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.4275891045055421e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.4393823211036024e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 4.186384064873585e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 4.824617816113209e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.85880587925525e-15 in general_inverse\n", - 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"/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.4897864931953783e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.0509512337158769e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.1377543116819802e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.800744497149333e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.761798985494412e-15 in general_inverse\n", - 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" warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.8734374809662115e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.232343583659919e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.0482842256784803e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.467379347282302e-18 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.5759888124606325e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.225617744485029e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.703772751192879e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 6.883109514984853e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.455312980236373e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 6.23895606701099e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.0603077714105237e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='BHHH', options={'maxiter':1000})\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.886410808092305e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { "data": { "text/html": [ - 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work_veryhigh_OTHEMPN-2.483268-2.509024e+00
work_veryhigh_RETEMPN-2.375156-2.375156e+00
tolerance9.957944723905177e-06
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message'Optimization terminated successfully.'
elapsed_time0:00:22.109298
method'BHHH'
n_cases2582
iteration_number475
logloss5.2367756604896165
" + "
tolerance8.618081038971004e-07stepsarray([0.125, 0.25 , 0.375, 0.5 , 0.625, 0.75 , 1. , 1. , 1. ])message'Optimization terminated successfully'elapsed_time0:00:02.528580method'BHHH'n_cases28281iteration_number9
" ], "text/plain": [ - "┣ loglike: -13521.35475538419\n", - "┣ x: -999 -999.000000\n", - "┃ 1 1.000000\n", - "┃ coef_dist_0_1 -1.084778\n", - "┃ coef_dist_0_5_high 0.120981\n", - "┃ coef_dist_15_up -0.091700\n", - "┃ coef_dist_1_2 -0.252580\n", - "┃ coef_dist_2_5 -0.369689\n", - "┃ coef_dist_5_15 -0.152259\n", - "┃ coef_dist_5_up_high -0.015225\n", - "┃ coef_mode_logsum 0.155426\n", - "┃ work_high_AGREMPN -14.042031\n", - "┃ work_high_FPSEMPN -2.021234\n", - "┃ work_high_HEREMPN -1.578781\n", - "┃ work_high_MWTEMPN -2.074250\n", - "┃ work_high_OTHEMPN -2.145558\n", - "┃ work_high_RETEMPN -2.207275\n", - "┃ work_low_AGREMPN -40.734929\n", - "┃ work_low_FPSEMPN -0.670108\n", - "┃ work_low_HEREMPN 0.087905\n", - "┃ work_low_MWTEMPN -0.373028\n", - "┃ work_low_OTHEMPN -0.705270\n", - "┃ work_low_RETEMPN -2.047943\n", - "┃ work_med_AGREMPN -14.886841\n", - "┃ work_med_FPSEMPN -1.942050\n", - "┃ work_med_HEREMPN -1.382809\n", - "┃ work_med_MWTEMPN -0.910436\n", - "┃ work_med_OTHEMPN -2.535326\n", - "┃ work_med_RETEMPN -2.120264\n", - "┃ work_veryhigh_AGREMPN -0.277725\n", - "┃ work_veryhigh_FPSEMPN -1.757306\n", - "┃ work_veryhigh_HEREMPN -1.621894\n", - "┃ work_veryhigh_MWTEMPN -1.722069\n", - "┃ work_veryhigh_OTHEMPN -2.483268\n", - "┃ work_veryhigh_RETEMPN -2.375156\n", + "┣ loglike: -88683.85038605405\n", + "┣ x: -999 -9.990000e+02\n", + "┃ 1 1.000000e+00\n", + "┃ coef_dist_0_1 -1.035381e+00\n", + "┃ coef_dist_0_5_high 1.469662e-01\n", + "┃ coef_dist_15_up -1.170512e-01\n", + "┃ coef_dist_1_2 -4.652491e-01\n", + "┃ coef_dist_2_5 -4.177477e-01\n", + "┃ coef_dist_5_15 -1.558734e-01\n", + "┃ coef_dist_5_up_high 2.506728e-02\n", + "┃ coef_mode_logsum 7.423654e-02\n", + "┃ work_high_AGREMPN -1.856268e+00\n", + "┃ work_high_FPSEMPN -1.895722e+00\n", + "┃ work_high_HEREMPN -1.698263e+00\n", + "┃ work_high_MWTEMPN -1.815687e+00\n", + "┃ work_high_OTHEMPN -2.187482e+00\n", + "┃ work_high_RETEMPN -2.207275e+00\n", + "┃ work_low_AGREMPN -7.178467e+01\n", + "┃ work_low_FPSEMPN -1.507959e+00\n", + "┃ work_low_HEREMPN -8.190703e-01\n", + "┃ work_low_MWTEMPN -1.980587e+00\n", + "┃ work_low_OTHEMPN -2.021455e+00\n", + "┃ work_low_RETEMPN -2.047943e+00\n", + "┃ work_med_AGREMPN -8.087999e+64\n", + "┃ work_med_FPSEMPN -2.151306e+00\n", + "┃ work_med_HEREMPN -1.606036e+00\n", + "┃ work_med_MWTEMPN -2.043992e+00\n", + "┃ work_med_OTHEMPN -2.172089e+00\n", + "┃ work_med_RETEMPN -2.120264e+00\n", + "┃ work_veryhigh_AGREMPN -6.042012e+00\n", + "┃ work_veryhigh_FPSEMPN -1.838134e+00\n", + "┃ work_veryhigh_HEREMPN -1.992130e+00\n", + "┃ work_veryhigh_MWTEMPN -1.763131e+00\n", + "┃ work_veryhigh_OTHEMPN -2.509024e+00\n", + "┃ work_veryhigh_RETEMPN -2.375156e+00\n", "┃ dtype: float64\n", - "┣ tolerance: 9.957944723905177e-06\n", - "┣ steps: array([0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625, 0.015625, 0.015625, 0.015625, 0.015625, 0.015625,\n", - "┃ 0.015625])\n", - "┣ message: 'Optimization terminated successfully.'\n", - "┣ elapsed_time: datetime.timedelta(seconds=22, microseconds=109298)\n", + "┣ tolerance: 8.618081038971004e-07\n", + "┣ steps: array([0.125, 0.25 , 0.375, 0.5 , 0.625, 0.75 , 1. , 1. , 1. ])\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ elapsed_time: datetime.timedelta(seconds=2, microseconds=528580)\n", "┣ method: 'BHHH'\n", - "┣ n_cases: 2582\n", - "┣ iteration_number: 475\n", - "┣ logloss: 5.2367756604896165" + "┣ n_cases: 28281\n", + "┣ iteration_number: 9" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate(method='BHHH', options={'maxiter':1000})" + "model.estimate(method=\"BHHH\", options={\"maxiter\": 1000})" ] }, { @@ -3414,335 +2271,361 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Null Value Constrained
-999-999. NA NA-999.00fixed value
1 1.00 NA NA 1.00fixed value
coef_dist_0_1-1.08 0.270-4.02*** 0.00
coef_dist_0_5_high 0.121 0.0339 3.57*** 0.00
coef_dist_15_up-0.0917 0.000603-152.16*** 0.00
coef_dist_1_2-0.253 0.115-2.20* 0.00
coef_dist_2_5-0.370 0.0329-11.23*** 0.00
coef_dist_5_15-0.152 0.0419-3.63*** 0.00
coef_dist_5_up_high-0.0152 0.0576-0.26 0.00
coef_mode_logsum 0.155 0.0455 3.41*** 0.00
work_high_AGREMPN-14.0 9.45e+03-0.00 0.00
work_high_FPSEMPN-2.02 0.419-4.83*** 0.00
work_high_HEREMPN-1.58 0.398-3.97*** 0.00
work_high_MWTEMPN-2.07 1.07-1.94 0.00
work_high_OTHEMPN-2.15 0.463-4.64*** 0.00
work_high_RETEMPN-2.21 NA NA 0.00fixed value
work_low_AGREMPN-40.7 3.95e-06-BIG*** 0.00
work_low_FPSEMPN-0.670 1.46-0.46 0.00
work_low_HEREMPN 0.0879 1.47 0.06 0.00
work_low_MWTEMPN-0.373 1.66-0.22 0.00
work_low_OTHEMPN-0.705 1.49-0.47 0.00
work_low_RETEMPN-2.05 NA NA 0.00fixed value
work_med_AGREMPN-14.9 2.37e+03-0.01 0.00
work_med_FPSEMPN-1.94 0.484-4.01*** 0.00
work_med_HEREMPN-1.38 0.448-3.09** 0.00
work_med_MWTEMPN-0.910 0.564-1.61 0.00
work_med_OTHEMPN-2.54 0.640-3.96*** 0.00
work_med_RETEMPN-2.12 NA NA 0.00fixed value
work_veryhigh_AGREMPN-0.278 2.35-0.12 0.00
work_veryhigh_FPSEMPN-1.76 0.410-4.29*** 0.00
work_veryhigh_HEREMPN-1.62 0.414-3.92*** 0.00
work_veryhigh_MWTEMPN-1.72 0.739-2.33* 0.00
work_veryhigh_OTHEMPN-2.48 0.493-5.03*** 0.00
work_veryhigh_RETEMPN-2.38 NA NA 0.00fixed value
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
-999-999. 0.00 NA 0.00fixed value
1 1.00 0.00 NA 0.00fixed value
coef_dist_0_1-1.04 0.105-9.89*** 0.00
coef_dist_0_5_high 0.147 0.0114 12.86*** 0.00
coef_dist_15_up-0.117 0.00211-55.56*** 0.00
coef_dist_1_2-0.465 0.0428-10.86*** 0.00
coef_dist_2_5-0.418 0.0116-36.15*** 0.00
coef_dist_5_15-0.156 0.00276-56.40*** 0.00
coef_dist_5_up_high 0.0251 0.00176 14.22*** 0.00
coef_mode_logsum 0.0742 0.00837 8.87*** 0.00
work_high_AGREMPN-1.86 0.596-3.11** 0.00
work_high_FPSEMPN-1.90 0.178-10.67*** 0.00
work_high_HEREMPN-1.70 0.193-8.81*** 0.00
work_high_MWTEMPN-1.82 0.188-9.68*** 0.00
work_high_OTHEMPN-2.19 0.207-10.56*** 0.00
work_high_RETEMPN-2.21 0.00 NA 0.00fixed value
work_low_AGREMPN-71.8 7.07e-12-BIG*** 0.00
work_low_FPSEMPN-1.51 0.346-4.36*** 0.00
work_low_HEREMPN-0.819 0.360-2.27* 0.00
work_low_MWTEMPN-1.98 0.387-5.12*** 0.00
work_low_OTHEMPN-2.02 0.407-4.97*** 0.00
work_low_RETEMPN-2.05 0.00 NA 0.00fixed value
work_med_AGREMPN-8.09e+64 NA NA 0.00
work_med_FPSEMPN-2.15 0.194-11.06*** 0.00
work_med_HEREMPN-1.61 0.205-7.85*** 0.00
work_med_MWTEMPN-2.04 0.210-9.74*** 0.00
work_med_OTHEMPN-2.17 0.222-9.77*** 0.00
work_med_RETEMPN-2.12 0.00 NA 0.00fixed value
work_veryhigh_AGREMPN-6.04 24.2-0.25 0.00
work_veryhigh_FPSEMPN-1.84 0.152-12.10*** 0.00
work_veryhigh_HEREMPN-1.99 0.170-11.71*** 0.00
work_veryhigh_MWTEMPN-1.76 0.159-11.08*** 0.00
work_veryhigh_OTHEMPN-2.51 0.189-13.24*** 0.00
work_veryhigh_RETEMPN-2.38 0.00 NA 0.00fixed value
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -3763,12 +2646,13 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "from activitysim.estimation.larch import update_coefficients, update_size_spec\n", - "result_dir = data.edb_directory/\"estimated\"" + "\n", + "result_dir = data.edb_directory / \"estimated\"" ] }, { @@ -3780,12 +2664,14 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "update_coefficients(\n", - " model, data, result_dir,\n", + " model,\n", + " data,\n", + " result_dir,\n", " output_file=f\"{modelname}_coefficients_revised.csv\",\n", ");" ] @@ -3799,7 +2685,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -3844,12 +2730,12 @@ " work_low\n", " workplace\n", " 0.000000\n", - " 0.044251\n", - " 0.175515\n", - " 0.374554\n", - " 0.169451\n", - " 6.988481e-19\n", - " 0.236229\n", + " 0.121509\n", + " 0.208506\n", + " 0.415240\n", + " 0.124770\n", + " 6.285395e-32\n", + " 0.129975\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -3860,12 +2746,12 @@ " work_med\n", " workplace\n", " 0.000000\n", - " 0.120498\n", - " 0.144005\n", - " 0.251914\n", - " 0.079565\n", - " 3.439740e-07\n", - " 0.404018\n", + " 0.176350\n", + " 0.170960\n", + " 0.294919\n", + " 0.167444\n", + " 0.000000e+00\n", + " 0.190327\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -3876,12 +2762,12 @@ " work_high\n", " workplace\n", " 0.000000\n", - " 0.159104\n", - " 0.191636\n", - " 0.298286\n", - " 0.169233\n", - " 1.153217e-06\n", - " 0.181741\n", + " 0.125802\n", + " 0.171788\n", + " 0.209290\n", + " 0.128317\n", + " 1.787012e-01\n", + " 0.186102\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -3892,12 +2778,12 @@ " work_veryhigh\n", " workplace\n", " 0.000000\n", - " 0.062723\n", - " 0.116348\n", - " 0.133219\n", - " 0.056296\n", - " 5.108942e-01\n", - " 0.120520\n", + " 0.144466\n", + " 0.247167\n", + " 0.211891\n", + " 0.126365\n", + " 3.692074e-03\n", + " 0.266419\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -4197,10 +3083,10 @@ ], "text/plain": [ " segment model_selector TOTHH RETEMPN FPSEMPN HEREMPN \\\n", - "0 work_low workplace 0.000000 0.044251 0.175515 0.374554 \n", - "1 work_med workplace 0.000000 0.120498 0.144005 0.251914 \n", - "2 work_high workplace 0.000000 0.159104 0.191636 0.298286 \n", - "3 work_veryhigh workplace 0.000000 0.062723 0.116348 0.133219 \n", + "0 work_low workplace 0.000000 0.121509 0.208506 0.415240 \n", + "1 work_med workplace 0.000000 0.176350 0.170960 0.294919 \n", + "2 work_high workplace 0.000000 0.125802 0.171788 0.209290 \n", + "3 work_veryhigh workplace 0.000000 0.144466 0.247167 0.211891 \n", "4 university school 0.000000 0.000000 0.000000 0.000000 \n", "5 gradeschool school 0.000000 0.000000 0.000000 0.000000 \n", "6 highschool school 0.000000 0.000000 0.000000 0.000000 \n", @@ -4221,10 +3107,10 @@ "21 univ trip 0.000999 0.000000 0.000000 0.000000 \n", "\n", " OTHEMPN AGREMPN MWTEMPN AGE0519 HSENROLL COLLFTE COLLPTE \n", - "0 0.169451 6.988481e-19 0.236229 0.000 0.000000 0.000000 0.000000 \n", - "1 0.079565 3.439740e-07 0.404018 0.000 0.000000 0.000000 0.000000 \n", - "2 0.169233 1.153217e-06 0.181741 0.000 0.000000 0.000000 0.000000 \n", - "3 0.056296 5.108942e-01 0.120520 0.000 0.000000 0.000000 0.000000 \n", + "0 0.124770 6.285395e-32 0.129975 0.000 0.000000 0.000000 0.000000 \n", + "1 0.167444 0.000000e+00 0.190327 0.000 0.000000 0.000000 0.000000 \n", + "2 0.128317 1.787012e-01 0.186102 0.000 0.000000 0.000000 0.000000 \n", + "3 0.126365 3.692074e-03 0.266419 0.000 0.000000 0.000000 0.000000 \n", "4 0.000000 0.000000e+00 0.000000 0.000 0.000000 0.592000 0.408000 \n", "5 0.000000 0.000000e+00 0.000000 1.000 0.000000 0.000000 0.000000 \n", "6 0.000000 0.000000e+00 0.000000 0.000 1.000000 0.000000 0.000000 \n", @@ -4245,14 +3131,16 @@ "21 0.000000 0.000000e+00 0.000000 0.000 0.000000 0.591409 0.407592 " ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "update_size_spec(\n", - " model, data, result_dir, \n", + " model,\n", + " data,\n", + " result_dir,\n", " output_file=f\"{modelname}_size_terms.csv\",\n", ")" ] @@ -4266,12 +3154,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "model.to_xlsx(\n", - " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", + " result_dir / f\"{modelname}_model_estimation.xlsx\",\n", " data_statistics=False,\n", ");" ] @@ -4290,7 +3178,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -4323,49 +3211,49 @@ " \n", " 0\n", " coef_dist_0_1\n", - " -1.084778\n", + " -1.035381\n", " F\n", " \n", " \n", " 1\n", " coef_dist_1_2\n", - " -0.252580\n", + " -0.465249\n", " F\n", " \n", " \n", " 2\n", " coef_dist_2_5\n", - " -0.369689\n", + " -0.417748\n", " F\n", " \n", " \n", " 3\n", " coef_dist_5_15\n", - " -0.152259\n", + " -0.155873\n", " F\n", " \n", " \n", " 4\n", " coef_dist_15_up\n", - " -0.091700\n", + " -0.117051\n", " F\n", " \n", " \n", " 5\n", " coef_dist_0_5_high\n", - " 0.120981\n", + " 0.146966\n", " F\n", " \n", " \n", " 6\n", " coef_dist_5_up_high\n", - " -0.015225\n", + " 0.025067\n", " F\n", " \n", " \n", " 7\n", " coef_mode_logsum\n", - " 0.155426\n", + " 0.074237\n", " F\n", " \n", " \n", @@ -4374,28 +3262,28 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coef_dist_0_1 -1.084778 F\n", - "1 coef_dist_1_2 -0.252580 F\n", - "2 coef_dist_2_5 -0.369689 F\n", - "3 coef_dist_5_15 -0.152259 F\n", - "4 coef_dist_15_up -0.091700 F\n", - "5 coef_dist_0_5_high 0.120981 F\n", - "6 coef_dist_5_up_high -0.015225 F\n", - "7 coef_mode_logsum 0.155426 F" + "0 coef_dist_0_1 -1.035381 F\n", + "1 coef_dist_1_2 -0.465249 F\n", + "2 coef_dist_2_5 -0.417748 F\n", + "3 coef_dist_5_15 -0.155873 F\n", + "4 coef_dist_15_up -0.117051 F\n", + "5 coef_dist_0_5_high 0.146966 F\n", + "6 coef_dist_5_up_high 0.025067 F\n", + "7 coef_mode_logsum 0.074237 F" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.read_csv(result_dir/f\"{modelname}_coefficients_revised.csv\")" + "pd.read_csv(result_dir / f\"{modelname}_coefficients_revised.csv\")" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -4442,12 +3330,12 @@ " work_low\n", " workplace\n", " 0.000000\n", - " 0.044251\n", - " 0.175515\n", - " 0.374554\n", - " 0.169451\n", - " 6.988481e-19\n", - " 0.236229\n", + " 0.121509\n", + " 0.208506\n", + " 0.415240\n", + " 0.124770\n", + " 6.285395e-32\n", + " 0.129975\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -4459,12 +3347,12 @@ " work_med\n", " workplace\n", " 0.000000\n", - " 0.120498\n", - " 0.144005\n", - " 0.251914\n", - " 0.079565\n", - " 3.439740e-07\n", - " 0.404018\n", + " 0.176350\n", + " 0.170960\n", + " 0.294919\n", + " 0.167444\n", + " 0.000000e+00\n", + " 0.190327\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -4476,12 +3364,12 @@ " work_high\n", " workplace\n", " 0.000000\n", - " 0.159104\n", - " 0.191636\n", - " 0.298286\n", - " 0.169233\n", - " 1.153217e-06\n", - " 0.181741\n", + " 0.125802\n", + " 0.171788\n", + " 0.209290\n", + " 0.128317\n", + " 1.787012e-01\n", + " 0.186102\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -4493,12 +3381,12 @@ " work_veryhigh\n", " workplace\n", " 0.000000\n", - " 0.062723\n", - " 0.116348\n", - " 0.133219\n", - " 0.056296\n", - " 5.108942e-01\n", - " 0.120520\n", + " 0.144466\n", + " 0.247167\n", + " 0.211891\n", + " 0.126365\n", + " 3.692074e-03\n", + " 0.266419\n", " 0.000\n", " 0.000000\n", " 0.000000\n", @@ -4816,10 +3704,10 @@ ], "text/plain": [ " index segment model_selector TOTHH RETEMPN FPSEMPN \\\n", - "0 0 work_low workplace 0.000000 0.044251 0.175515 \n", - "1 1 work_med workplace 0.000000 0.120498 0.144005 \n", - "2 2 work_high workplace 0.000000 0.159104 0.191636 \n", - "3 3 work_veryhigh workplace 0.000000 0.062723 0.116348 \n", + "0 0 work_low workplace 0.000000 0.121509 0.208506 \n", + "1 1 work_med workplace 0.000000 0.176350 0.170960 \n", + "2 2 work_high workplace 0.000000 0.125802 0.171788 \n", + "3 3 work_veryhigh workplace 0.000000 0.144466 0.247167 \n", "4 4 university school 0.000000 0.000000 0.000000 \n", "5 5 gradeschool school 0.000000 0.000000 0.000000 \n", "6 6 highschool school 0.000000 0.000000 0.000000 \n", @@ -4840,10 +3728,10 @@ "21 21 univ trip 0.000999 0.000000 0.000000 \n", "\n", " HEREMPN OTHEMPN AGREMPN MWTEMPN AGE0519 HSENROLL COLLFTE \\\n", - "0 0.374554 0.169451 6.988481e-19 0.236229 0.000 0.000000 0.000000 \n", - "1 0.251914 0.079565 3.439740e-07 0.404018 0.000 0.000000 0.000000 \n", - "2 0.298286 0.169233 1.153217e-06 0.181741 0.000 0.000000 0.000000 \n", - "3 0.133219 0.056296 5.108942e-01 0.120520 0.000 0.000000 0.000000 \n", + "0 0.415240 0.124770 6.285395e-32 0.129975 0.000 0.000000 0.000000 \n", + "1 0.294919 0.167444 0.000000e+00 0.190327 0.000 0.000000 0.000000 \n", + "2 0.209290 0.128317 1.787012e-01 0.186102 0.000 0.000000 0.000000 \n", + "3 0.211891 0.126365 3.692074e-03 0.266419 0.000 0.000000 0.000000 \n", "4 0.000000 0.000000 0.000000e+00 0.000000 0.000 0.000000 0.592000 \n", "5 0.000000 0.000000 0.000000e+00 0.000000 1.000 0.000000 0.000000 \n", "6 0.000000 0.000000 0.000000e+00 0.000000 0.000 1.000000 0.000000 \n", @@ -4888,13 +3776,1784 @@ "21 0.407592 " ] }, - "execution_count": 18, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv(result_dir / f\"{modelname}_size_terms.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Modify Spec\n", + "\n", + "Here, we will demonstrate the process of re-estimating the model with a modified\n", + "SPEC file. This does *not* require re-running ActivitySim, it just requires\n", + "changing the SPEC file and re-running the Larch estimation only.\n", + "\n", + "The `backup` command we ran earlier made a backup copy of the \n", + "original spec file in the EDB directory.\n", + "This was not strictly necessary, but since we're about to modify it and\n", + "we may want undo our changes, it can be handy to keep a copy of the\n", + "original spec file around. Since we already have a backup copy, we'll make some \n", + "changes directly in the SPEC file. As an example here, we're going\n", + "to change one of the breakpoints on the piecewise distance function in the\n", + "utility calculation. For this demo we are editing \n", + "the SPEC file using Python code to make the changes, but a user does not need\n", + "to change the file using Python; any CSV editor (e.g. Excel) can be used. \n", + "\n", + "The raw contents of the SPEC file can be loaded and viewed in Python like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Label,Description,Expression,coefficient\n", + "local_dist,,_DIST@skims['DIST'],1\n", + "util_dist_0_1,\"Distance, piecewise linear from 0 to 1 miles\",\"@_DIST.clip(0,1)\",coef_dist_0_1\n", + "util_dist_1_2,\"Distance, piecewise linear from 1 to 2 miles\",\"@(_DIST-1).clip(0,1)\",coef_dist_1_2\n", + "util_dist_2_5,\"Distance, piecewise linear from 2 to 5 miles\",\"@(_DIST-2).clip(0,3)\",coef_dist_2_5\n", + "util_dist_5_15,\"Distance, piecewise linear from 5 to 15 miles\",\"@(_DIST-5).clip(0,10)\",coef_dist_5_15\n", + "util_dist_15_up,\"Distance, piecewise linear for 15+ miles\",@(_DIST-15.0).clip(0),coef_dist_15_up\n", + "util_dist_0_5_high,\"Distance 0 to 5 mi, high and very high income\",@(df['income_segment']>=WORK_HIGH_SEGMENT_ID) * _DIST.clip(upper=5),coef_dist_0_5_high\n", + "util_dist_15_up_high,\"Distance 5+ mi, high and very high income\",@(df['income_segment']>=WORK_HIGH_SEGMENT_ID) * (_DIST-5).clip(0),coef_dist_5_up_high\n", + "util_size_variable,Size variable,@(df['size_term'] * df['shadow_price_size_term_adjustment']).apply(np.log1p),1\n", + "util_utility_adjustment,utility adjustment,@df['shadow_price_utility_adjustment'],1\n", + "util_no_attractions,No attractions,@df['size_term']==0,-999\n", + "util_mode_logsum,Mode choice logsum,mode_choice_logsum,coef_mode_logsum\n", + "util_sample_of_corrections_factor,Sample of alternatives correction factor,\"@np.minimum(np.log(df.pick_count/df.prob), 60)\",1\n" + ] + } + ], + "source": [ + "with open(data.edb_directory / \"workplace_location_SPEC.csv\") as f:\n", + " raw_spec = f.read()\n", + "\n", + "print(raw_spec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's move the 2 mile breakpoint to 3 miles. To do so, we will need to change two lines\n", + "of the SPEC file. As we change the file, we will edit all four columns: label, description, \n", + "expression, and coefficient. \n", + "\n", + "## WARNING\n", + "\n", + "**It is particularly important to make changes to the label when \n", + "changing the expression.** The estimation tools will prefer the pre-calculated variables computed\n", + "and stored with the given label, so if the label is not changed the expression changes will be ignored.\n", + "\n", + "After we make the changes, we'll write the modified SPEC file back to disk, overwriting the original." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "orig_lines = \"\"\"util_dist_1_2,\"Distance, piecewise linear from 1 to 2 miles\",\"@(_DIST-1).clip(0,1)\",coef_dist_1_2\n", + "util_dist_2_5,\"Distance, piecewise linear from 2 to 5 miles\",\"@(_DIST-2).clip(0,3)\",coef_dist_2_5\"\"\"\n", + "\n", + "repl_lines = \"\"\"util_dist_1_3,\"Distance, piecewise linear from 1 to 3 miles\",\"@(_DIST-1).clip(0,2)\",coef_dist_1_3\n", + "util_dist_3_5,\"Distance, piecewise linear from 3 to 5 miles\",\"@(_DIST-3).clip(0,2)\",coef_dist_3_5\"\"\"\n", + "\n", + "raw_spec = raw_spec.replace(orig_lines, repl_lines)\n", + "\n", + "with open(data.edb_directory / \"workplace_location_SPEC.csv\", mode=\"w\") as f:\n", + " f.write(raw_spec)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Reloading the model and getting set for re-estimation can be done using the same commands as above." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/workplace_location/workplace_location_size_terms.csv\n" + ] + } + ], + "source": [ + "model2, data2 = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You may notice in the utility functions shown below, all of the unadulterated lines of the \n", + "spec file correlate with utility terms that are simple `X.label` data items, which are \n", + "stored as pre-computed data variables in the EDB. Our modified lines, however, are now\n", + "showing the complete expression that will be freshly evaluated by Larch using Sharrow." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
P.coef_dist_0_1 * X.util_dist_0_1
 + P.coef_dist_1_3 * X('(_DIST-1).clip(0,2)')
 + P.coef_dist_3_5 * X('(_DIST-3).clip(0,2)')
 + P.coef_dist_5_15 * X.util_dist_5_15
 + P.coef_dist_15_up * X.util_dist_15_up
 + P.coef_dist_0_5_high * X.util_dist_0_5_high
 + P.coef_dist_5_up_high * X.util_dist_15_up_high
 + P('-999') * X.util_no_attractions
 + P.coef_mode_logsum * X.util_mode_logsum
 + P('1') * X.util_sample_of_corrections_factor
" + ], + "text/plain": [ + " P.coef_dist_0_1 * X.util_dist_0_1\n", + "+ P.coef_dist_1_3 * X('(_DIST-1).clip(0,2)')\n", + "+ P.coef_dist_3_5 * X('(_DIST-3).clip(0,2)')\n", + "+ P.coef_dist_5_15 * X.util_dist_5_15\n", + "+ P.coef_dist_15_up * X.util_dist_15_up\n", + "+ P.coef_dist_0_5_high * X.util_dist_0_5_high\n", + "+ P.coef_dist_5_up_high * X.util_dist_15_up_high\n", + "+ P('-999') * X.util_no_attractions\n", + "+ P.coef_mode_logsum * X.util_mode_logsum\n", + "+ P('1') * X.util_sample_of_corrections_factor" + ] + }, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.read_csv(result_dir/f\"{modelname}_size_terms.csv\")" + "model2.utility_ca" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We are almost ready to go with this model. But if we attempt to estimate the model now, we will get an error:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NameError(\"name '_DIST' is not defined\")\n" + ] + } + ], + "source": [ + "from larch.util.shush import shush\n", + "\n", + "with shush(stderr=True):\n", + " try:\n", + " model2.estimate()\n", + " except NameError as e:\n", + " print(repr(e))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The error arises because the model SPEC includes a temporary `_DIST` variable, which was not stored in the EDB data files.\n", + "There are several ways to solve this problem. The most robust way would be to return to ActivitySim and edit the model specification\n", + "and configurations so that this variable is not a temporary value (i.e. add it to a preprocessor or annotator). This process \n", + "may take some time and effort, but it should be able to allow the user to access any variable from ActivitySim.\n", + "\n", + "Alternatively, it may be possible to reconstruct the value of the temporary variable, or a suitable proxy, by processing \n", + "values that did get stored in the EDB. We can do so here, by reconstituting the distance value as the sum of the piecewise\n", + "parts that did get stored in the EDB. Rather than returning to ActivitySim, we can simply compute the temporary variable\n", + "directly in the model's data object, giving it the same name as from the specification file, and otherwise proceed as normal." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "model2.data[\"_DIST\"] = (\n", + " model2.data.util_dist_0_1\n", + " + model2.data.util_dist_1_2\n", + " + model2.data.util_dist_2_5\n", + " + model2.data.util_dist_5_15\n", + " + model2.data.util_dist_15_up\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Iteration 008 [Optimization terminated successfully]

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "

Best LL = -88684.18177107332

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0
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coef_dist_0_5_high0.147163
coef_dist_15_up-0.117017
coef_dist_1_3-0.433865
coef_dist_3_5-0.417069
coef_dist_5_15-0.155760
coef_dist_5_up_high0.025050
coef_mode_logsum0.074530
work_high_AGREMPN-1.857041
work_high_FPSEMPN-1.895566
work_high_HEREMPN-1.698595
work_high_MWTEMPN-1.816036
work_high_OTHEMPN-2.187730
work_high_RETEMPN-2.207275
work_low_AGREMPN-286.802086
work_low_FPSEMPN-1.507131
work_low_HEREMPN-0.818251
work_low_MWTEMPN-1.979965
work_low_OTHEMPN-2.020885
work_low_RETEMPN-2.047943
work_med_AGREMPN-1490.624349
work_med_FPSEMPN-2.150429
work_med_HEREMPN-1.605331
work_med_MWTEMPN-2.043346
work_med_OTHEMPN-2.171601
work_med_RETEMPN-2.120264
work_veryhigh_AGREMPN-6.028955
work_veryhigh_FPSEMPN-1.838036
work_veryhigh_HEREMPN-1.992113
work_veryhigh_MWTEMPN-1.763204
work_veryhigh_OTHEMPN-2.509234
work_veryhigh_RETEMPN-2.375156
tolerance2.5082874166498626e-07
stepsarray([0.25, 0.5 , 0.75, 1. , 1. , 1. , 1. , 1. ])
message'Optimization terminated successfully'
elapsed_time0:00:02.337866
method'BHHH'
n_cases28281
iteration_number8
" + ], + "text/plain": [ + "┣ loglike: -88684.18177107332\n", + "┣ x: -999 -999.000000\n", + "┃ 1 1.000000\n", + "┃ coef_dist_0_1 -1.072002\n", + "┃ coef_dist_0_5_high 0.147163\n", + "┃ coef_dist_15_up -0.117017\n", + "┃ coef_dist_1_3 -0.433865\n", + "┃ coef_dist_3_5 -0.417069\n", + "┃ coef_dist_5_15 -0.155760\n", + "┃ coef_dist_5_up_high 0.025050\n", + "┃ coef_mode_logsum 0.074530\n", + "┃ work_high_AGREMPN -1.857041\n", + "┃ work_high_FPSEMPN -1.895566\n", + "┃ work_high_HEREMPN -1.698595\n", + "┃ work_high_MWTEMPN -1.816036\n", + "┃ work_high_OTHEMPN -2.187730\n", + "┃ work_high_RETEMPN -2.207275\n", + "┃ work_low_AGREMPN -286.802086\n", + "┃ work_low_FPSEMPN -1.507131\n", + "┃ work_low_HEREMPN -0.818251\n", + "┃ work_low_MWTEMPN -1.979965\n", + "┃ work_low_OTHEMPN -2.020885\n", + "┃ work_low_RETEMPN -2.047943\n", + "┃ work_med_AGREMPN -1490.624349\n", + "┃ work_med_FPSEMPN -2.150429\n", + "┃ work_med_HEREMPN -1.605331\n", + "┃ work_med_MWTEMPN -2.043346\n", + "┃ work_med_OTHEMPN -2.171601\n", + "┃ work_med_RETEMPN -2.120264\n", + "┃ work_veryhigh_AGREMPN -6.028955\n", + "┃ work_veryhigh_FPSEMPN -1.838036\n", + "┃ work_veryhigh_HEREMPN -1.992113\n", + "┃ work_veryhigh_MWTEMPN -1.763204\n", + "┃ work_veryhigh_OTHEMPN -2.509234\n", + "┃ work_veryhigh_RETEMPN -2.375156\n", + "┃ dtype: float64\n", + "┣ tolerance: 2.5082874166498626e-07\n", + "┣ steps: array([0.25, 0.5 , 0.75, 1. , 1. , 1. , 1. , 1. ])\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ elapsed_time: datetime.timedelta(seconds=2, microseconds=337866)\n", + "┣ method: 'BHHH'\n", + "┣ n_cases: 28281\n", + "┣ iteration_number: 8" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with shush(stderr=True):\n", + " # swallow a bunch of error logging related to recovery from our previous estimation failure\n", + " result2 = model2.estimate(method=\"BHHH\", options={\"maxiter\": 1000})\n", + "\n", + "result2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can then review the original and revised models side-by-side to see the differences." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmodel2
Number of CasesAggregate28281.00000028281.000000
Log Likelihood at ConvergenceAggregate-88683.850386-88684.181771
Per Case-3.135810-3.135822
Log Likelihood at Null ParametersAggregate-124263.519724-124263.519724
Per Case-4.393887-4.393887
Rho Squared w.r.t. Null ParametersAggregate0.2863240.286322
\n", + "
" + ], + "text/plain": [ + " model model2\n", + "Number of Cases Aggregate 28281.000000 28281.000000\n", + "Log Likelihood at Convergence Aggregate -88683.850386 -88684.181771\n", + " Per Case -3.135810 -3.135822\n", + "Log Likelihood at Null Parameters Aggregate -124263.519724 -124263.519724\n", + " Per Case -4.393887 -4.393887\n", + "Rho Squared w.r.t. Null Parameters Aggregate 0.286324 0.286322" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.estimation_statistics_raw(),\n", + " \"model2\": model2.estimation_statistics_raw(),\n", + " }, axis=1).fillna(\"\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmodel2
ValueStd Errt StatSignifNull ValueConstrainedValueStd Errt StatSignifNull ValueConstrained
Parameter
-999-999.0.00NA0.0fixed value-999.0.00NA0.0fixed value
11.000.00NA0.0fixed value1.000.00NA0.0fixed value
coef_dist_0_1-1.040.105-9.89***0.0-1.070.0946-11.33***0.0
coef_dist_0_5_high0.1470.011412.86***0.00.1470.011412.86***0.0
coef_dist_15_up-0.1170.00211-55.56***0.0-0.1170.00211-55.55***0.0
coef_dist_1_2-0.4650.0428-10.86***0.0
coef_dist_2_5-0.4180.0116-36.15***0.0
coef_dist_5_15-0.1560.00276-56.40***0.0-0.1560.00283-55.09***0.0
coef_dist_5_up_high0.02510.0017614.22***0.00.02500.0017614.20***0.0
coef_mode_logsum0.07420.008378.87***0.00.07450.008368.91***0.0
work_high_AGREMPN-1.860.596-3.11**0.0-1.860.597-3.11**0.0
work_high_FPSEMPN-1.900.178-10.67***0.0-1.900.178-10.67***0.0
work_high_HEREMPN-1.700.193-8.81***0.0-1.700.193-8.81***0.0
work_high_MWTEMPN-1.820.188-9.68***0.0-1.820.188-9.68***0.0
work_high_OTHEMPN-2.190.207-10.56***0.0-2.190.207-10.56***0.0
work_high_RETEMPN-2.210.00NA0.0fixed value-2.210.00NA0.0fixed value
work_low_AGREMPN-71.87.07e-12-BIG***0.0-287.NANA0.0
work_low_FPSEMPN-1.510.346-4.36***0.0-1.510.346-4.36***0.0
work_low_HEREMPN-0.8190.360-2.27*0.0-0.8180.361-2.27*0.0
work_low_MWTEMPN-1.980.387-5.12***0.0-1.980.387-5.11***0.0
work_low_OTHEMPN-2.020.407-4.97***0.0-2.020.407-4.96***0.0
work_low_RETEMPN-2.050.00NA0.0fixed value-2.050.00NA0.0fixed value
work_med_AGREMPN-8.09e+64NANA0.0-1.49e+03NANA0.0
work_med_FPSEMPN-2.150.194-11.06***0.0-2.150.195-11.05***0.0
work_med_HEREMPN-1.610.205-7.85***0.0-1.610.205-7.84***0.0
work_med_MWTEMPN-2.040.210-9.74***0.0-2.040.210-9.73***0.0
work_med_OTHEMPN-2.170.222-9.77***0.0-2.170.222-9.77***0.0
work_med_RETEMPN-2.120.00NA0.0fixed value-2.120.00NA0.0fixed value
work_veryhigh_AGREMPN-6.0424.2-0.250.0-6.0323.7-0.250.0
work_veryhigh_FPSEMPN-1.840.152-12.10***0.0-1.840.152-12.10***0.0
work_veryhigh_HEREMPN-1.990.170-11.71***0.0-1.990.170-11.71***0.0
work_veryhigh_MWTEMPN-1.760.159-11.08***0.0-1.760.159-11.08***0.0
work_veryhigh_OTHEMPN-2.510.189-13.24***0.0-2.510.189-13.24***0.0
work_veryhigh_RETEMPN-2.380.00NA0.0fixed value-2.380.00NA0.0fixed value
coef_dist_1_3-0.4340.0202-21.48***0.0
coef_dist_3_5-0.4170.0156-26.81***0.0
\n", + "
" + ], + "text/plain": [ + " model \\\n", + " Value Std Err t Stat Signif Null Value \n", + "Parameter \n", + "-999 -999.  0.00  NA 0.0 \n", + "1  1.00  0.00  NA 0.0 \n", + "coef_dist_0_1 -1.04  0.105 -9.89 *** 0.0 \n", + "coef_dist_0_5_high  0.147  0.0114  12.86 *** 0.0 \n", + "coef_dist_15_up -0.117  0.00211 -55.56 *** 0.0 \n", + "coef_dist_1_2 -0.465  0.0428 -10.86 *** 0.0 \n", + "coef_dist_2_5 -0.418  0.0116 -36.15 *** 0.0 \n", + "coef_dist_5_15 -0.156  0.00276 -56.40 *** 0.0 \n", + "coef_dist_5_up_high  0.0251  0.00176  14.22 *** 0.0 \n", + "coef_mode_logsum  0.0742  0.00837  8.87 *** 0.0 \n", + "work_high_AGREMPN -1.86  0.596 -3.11 ** 0.0 \n", + "work_high_FPSEMPN -1.90  0.178 -10.67 *** 0.0 \n", + "work_high_HEREMPN -1.70  0.193 -8.81 *** 0.0 \n", + "work_high_MWTEMPN -1.82  0.188 -9.68 *** 0.0 \n", + "work_high_OTHEMPN -2.19  0.207 -10.56 *** 0.0 \n", + "work_high_RETEMPN -2.21  0.00  NA 0.0 \n", + "work_low_AGREMPN -71.8  7.07e-12 -BIG *** 0.0 \n", + "work_low_FPSEMPN -1.51  0.346 -4.36 *** 0.0 \n", + "work_low_HEREMPN -0.819  0.360 -2.27 * 0.0 \n", + "work_low_MWTEMPN -1.98  0.387 -5.12 *** 0.0 \n", + "work_low_OTHEMPN -2.02  0.407 -4.97 *** 0.0 \n", + "work_low_RETEMPN -2.05  0.00  NA 0.0 \n", + "work_med_AGREMPN -8.09e+64  NA  NA 0.0 \n", + "work_med_FPSEMPN -2.15  0.194 -11.06 *** 0.0 \n", + "work_med_HEREMPN -1.61  0.205 -7.85 *** 0.0 \n", + "work_med_MWTEMPN -2.04  0.210 -9.74 *** 0.0 \n", + "work_med_OTHEMPN -2.17  0.222 -9.77 *** 0.0 \n", + "work_med_RETEMPN -2.12  0.00  NA 0.0 \n", + "work_veryhigh_AGREMPN -6.04  24.2 -0.25 0.0 \n", + "work_veryhigh_FPSEMPN -1.84  0.152 -12.10 *** 0.0 \n", + "work_veryhigh_HEREMPN -1.99  0.170 -11.71 *** 0.0 \n", + "work_veryhigh_MWTEMPN -1.76  0.159 -11.08 *** 0.0 \n", + "work_veryhigh_OTHEMPN -2.51  0.189 -13.24 *** 0.0 \n", + "work_veryhigh_RETEMPN -2.38  0.00  NA 0.0 \n", + "coef_dist_1_3 \n", + "coef_dist_3_5 \n", + "\n", + " model2 \\\n", + " Constrained Value Std Err t Stat Signif \n", + "Parameter \n", + "-999 fixed value -999.  0.00  NA \n", + "1 fixed value  1.00  0.00  NA \n", + "coef_dist_0_1 -1.07  0.0946 -11.33 *** \n", + "coef_dist_0_5_high  0.147  0.0114  12.86 *** \n", + "coef_dist_15_up -0.117  0.00211 -55.55 *** \n", + "coef_dist_1_2 \n", + "coef_dist_2_5 \n", + "coef_dist_5_15 -0.156  0.00283 -55.09 *** \n", + "coef_dist_5_up_high  0.0250  0.00176  14.20 *** \n", + "coef_mode_logsum  0.0745  0.00836  8.91 *** \n", + "work_high_AGREMPN -1.86  0.597 -3.11 ** \n", + "work_high_FPSEMPN -1.90  0.178 -10.67 *** \n", + "work_high_HEREMPN -1.70  0.193 -8.81 *** \n", + "work_high_MWTEMPN -1.82  0.188 -9.68 *** \n", + "work_high_OTHEMPN -2.19  0.207 -10.56 *** \n", + "work_high_RETEMPN fixed value -2.21  0.00  NA \n", + "work_low_AGREMPN -287.  NA  NA \n", + "work_low_FPSEMPN -1.51  0.346 -4.36 *** \n", + "work_low_HEREMPN -0.818  0.361 -2.27 * \n", + "work_low_MWTEMPN -1.98  0.387 -5.11 *** \n", + "work_low_OTHEMPN -2.02  0.407 -4.96 *** \n", + "work_low_RETEMPN fixed value -2.05  0.00  NA \n", + "work_med_AGREMPN -1.49e+03  NA  NA \n", + "work_med_FPSEMPN -2.15  0.195 -11.05 *** \n", + "work_med_HEREMPN -1.61  0.205 -7.84 *** \n", + "work_med_MWTEMPN -2.04  0.210 -9.73 *** \n", + "work_med_OTHEMPN -2.17  0.222 -9.77 *** \n", + "work_med_RETEMPN fixed value -2.12  0.00  NA \n", + "work_veryhigh_AGREMPN -6.03  23.7 -0.25 \n", + "work_veryhigh_FPSEMPN -1.84  0.152 -12.10 *** \n", + "work_veryhigh_HEREMPN -1.99  0.170 -11.71 *** \n", + "work_veryhigh_MWTEMPN -1.76  0.159 -11.08 *** \n", + "work_veryhigh_OTHEMPN -2.51  0.189 -13.24 *** \n", + "work_veryhigh_RETEMPN fixed value -2.38  0.00  NA \n", + "coef_dist_1_3 -0.434  0.0202 -21.48 *** \n", + "coef_dist_3_5 -0.417  0.0156 -26.81 *** \n", + "\n", + " \n", + " Null Value Constrained \n", + "Parameter \n", + "-999 0.0 fixed value \n", + "1 0.0 fixed value \n", + "coef_dist_0_1 0.0 \n", + "coef_dist_0_5_high 0.0 \n", + "coef_dist_15_up 0.0 \n", + "coef_dist_1_2 \n", + "coef_dist_2_5 \n", + "coef_dist_5_15 0.0 \n", + "coef_dist_5_up_high 0.0 \n", + "coef_mode_logsum 0.0 \n", + "work_high_AGREMPN 0.0 \n", + "work_high_FPSEMPN 0.0 \n", + "work_high_HEREMPN 0.0 \n", + "work_high_MWTEMPN 0.0 \n", + "work_high_OTHEMPN 0.0 \n", + "work_high_RETEMPN 0.0 fixed value \n", + "work_low_AGREMPN 0.0 \n", + "work_low_FPSEMPN 0.0 \n", + "work_low_HEREMPN 0.0 \n", + "work_low_MWTEMPN 0.0 \n", + "work_low_OTHEMPN 0.0 \n", + "work_low_RETEMPN 0.0 fixed value \n", + "work_med_AGREMPN 0.0 \n", + "work_med_FPSEMPN 0.0 \n", + "work_med_HEREMPN 0.0 \n", + "work_med_MWTEMPN 0.0 \n", + "work_med_OTHEMPN 0.0 \n", + "work_med_RETEMPN 0.0 fixed value \n", + "work_veryhigh_AGREMPN 0.0 \n", + "work_veryhigh_FPSEMPN 0.0 \n", + "work_veryhigh_HEREMPN 0.0 \n", + "work_veryhigh_MWTEMPN 0.0 \n", + "work_veryhigh_OTHEMPN 0.0 \n", + "work_veryhigh_RETEMPN 0.0 fixed value \n", + "coef_dist_1_3 0.0 \n", + "coef_dist_3_5 0.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.parameter_summary().data,\n", + " \"model2\": model2.parameter_summary().data,\n", + " }, axis=1).fillna(\"\"))" ] } ], @@ -4905,7 +5564,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4919,7 +5578,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/04_auto_ownership.ipynb b/activitysim/examples/example_estimation/notebooks/04_auto_ownership.ipynb index 8a4206918..c637ed540 100644 --- a/activitysim/examples/example_estimation/notebooks/04_auto_ownership.ipynb +++ b/activitysim/examples/example_estimation/notebooks/04_auto_ownership.ipynb @@ -34,34 +34,82 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare, backup\n", + "prepare()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "# Load data and prep model for estimation" + "In this demo notebook, we will (later) edit the model spec file. But for demo purposes, we want to\n", + "make sure we are starting from the \"original\" spec file, so we'll check that now. For actual \n", + "applications, this step would not be necessary." ] }, { @@ -69,11 +117,41 @@ "execution_count": 3, "metadata": {}, "outputs": [], + "source": [ + "backup(\"output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_SPEC.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Load data and prep model for estimation" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"auto_ownership\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "model, data = component_model(\n", + " modelname, \n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -94,7 +172,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -206,7 +284,7 @@ "[67 rows x 2 columns]" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -224,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -801,7 +879,7 @@ "28 coef_cars4_auto_time_saving_per_worker " ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -819,7 +897,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -854,15 +932,15 @@ " util_presence_children_0_4\n", " util_presence_children_5_17\n", " ...\n", - " HSENROLL\n", - " COLLFTE\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " auPkTotal\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " override_choice_code\n", " \n", " \n", @@ -892,9 +970,9 @@ " \n", " \n", " \n", - " 166\n", - " 0\n", - " 0\n", + " 45\n", + " 1\n", + " 1\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -904,21 +982,21 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.21263\n", - " 24.783133\n", - " 31.566265\n", - " 13.883217\n", - " False\n", - " 1\n", + " 12.513805\n", + " 9.924660\n", + " 12.562639\n", + " 4.193237\n", + " 6.875144\n", + " 3.952128\n", + " 6.590585\n", + " 2.194792\n", + " 6.359507\n", + " 2\n", " \n", " \n", - " 197\n", - " 0\n", - " 0\n", + " 499\n", + " 1\n", + " 1\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -928,19 +1006,19 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.68156\n", - " 56.783784\n", - " 10.459459\n", - " 8.832526\n", - " False\n", - " 1\n", + " 12.823009\n", + " 10.284673\n", + " 12.868645\n", + " 6.639963\n", + " 9.364105\n", + " 6.531079\n", + " 9.259002\n", + " 5.955868\n", + " 7.795004\n", + " 2\n", " \n", " \n", - " 268\n", + " 659\n", " 1\n", " 1\n", " 0.0\n", @@ -952,19 +1030,19 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 3598.08521\n", - " 0.00000\n", - " 1\n", - " 3.29100\n", - " 11.947644\n", - " 45.167539\n", - " 9.448375\n", - " True\n", + " 12.663406\n", + " 10.247505\n", + " 12.762286\n", + " 6.001466\n", + " 8.409169\n", + " 5.786652\n", + " 8.279842\n", + " 5.798886\n", + " 7.900061\n", " 2\n", " \n", " \n", - " 375\n", + " 948\n", " 1\n", " 1\n", " 0.0\n", @@ -976,20 +1054,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 4.11499\n", - " 73.040169\n", - " 28.028350\n", - " 20.255520\n", - " True\n", + " 12.710919\n", + " 10.150335\n", + " 12.777635\n", + " 5.172974\n", + " 7.850360\n", + " 4.893929\n", + " 7.571579\n", + " 4.895220\n", + " 7.409345\n", " 2\n", " \n", " \n", - " 387\n", - " 1\n", + " 1276\n", + " 0\n", " 1\n", " 0.0\n", " 0.0\n", @@ -1000,15 +1078,15 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 227.78223\n", - " 41.22827\n", - " 1\n", - " 3.83527\n", - " 26.631579\n", - " 45.868421\n", - " 16.848945\n", - " False\n", + " 12.661307\n", + " 10.258471\n", + " 12.759529\n", + " 6.039019\n", + " 8.348963\n", + " 5.778785\n", + " 8.070525\n", + " 6.073537\n", + " 7.851667\n", " 2\n", " \n", " \n", @@ -1036,7 +1114,7 @@ " ...\n", " \n", " \n", - " 2863464\n", + " 2874468\n", " 1\n", " 1\n", " 0.0\n", @@ -1048,21 +1126,21 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 72.14684\n", - " 0.00000\n", - " 1\n", - " 5.52555\n", - " 38.187500\n", - " 978.875000\n", - " 36.753679\n", - " False\n", + " 10.036845\n", + " 8.113608\n", + " 10.265845\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 2\n", " \n", " \n", - " 2863483\n", - " 1\n", + " 2874567\n", " 1\n", + " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -1072,20 +1150,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 3\n", - " 3.99027\n", - " 39.838272\n", - " 71.693001\n", - " 25.608291\n", - " True\n", - " 2\n", + " 8.811126\n", + " 6.560015\n", + " 8.886403\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 1\n", " \n", " \n", - " 2863806\n", - " 1\n", + " 2874576\n", + " 0\n", " 1\n", " 0.0\n", " 0.0\n", @@ -1096,19 +1174,19 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 4.27539\n", - " 51.675676\n", - " 47.216216\n", - " 24.672699\n", - " False\n", + " 8.811126\n", + " 6.560015\n", + " 8.886403\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 2\n", " \n", " \n", - " 2864518\n", + " 2874826\n", " 1\n", " 1\n", " 0.0\n", @@ -1120,20 +1198,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 25.52083\n", - " 15.938148\n", - " 551.353820\n", - " 15.490363\n", - " True\n", + " 11.356335\n", + " 9.298380\n", + " 11.721935\n", + " 1.052528\n", + " 2.925968\n", + " 0.494776\n", + " 2.006432\n", + " 3.782008\n", + " 6.208875\n", " 2\n", " \n", " \n", - " 2864688\n", - " 1\n", + " 2875013\n", + " 0\n", " 1\n", " 0.0\n", " 0.0\n", @@ -1144,111 +1222,111 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.29134\n", - " 16.000000\n", - " 31.644068\n", - " 10.626823\n", - " False\n", + " 11.663277\n", + " 9.588527\n", + " 12.019407\n", + " 3.053361\n", + " 5.871246\n", + " 0.141304\n", + " 0.776133\n", + " 4.090554\n", + " 6.388513\n", " 2\n", " \n", " \n", "\n", - "

2000 rows × 95 columns

\n", + "

20000 rows × 95 columns

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Iteration 015 [Optimization terminated successfully.]

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Iteration 067 [Optimization terminated successfully]

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Best LL = -1732.441809546802

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66 rows × 8 columns

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66 rows × 7 columns

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"coef_retail_non_motor NaN NaN 1 \n", - "coef_retail_transit_no_workers NaN NaN 0 \n", - "coef_retail_transit_workers NaN NaN 0 \n", + " value best initvalue \\\n", + "param_name \n", + "coef_cars1_asc 1.337433 1.337433 1.1865 \n", + "coef_cars1_asc_county -0.655949 -0.655949 -0.5660 \n", + "coef_cars1_asc_marin -0.168475 -0.168475 -0.2434 \n", + "coef_cars1_asc_san_francisco 0.324519 0.324519 0.4259 \n", + "coef_cars1_auto_time_saving_per_worker 0.394451 0.394451 0.4707 \n", + "... ... ... ... \n", + "coef_retail_auto_no_workers 0.039844 0.039844 0.0626 \n", + "coef_retail_auto_workers 0.155792 0.155792 0.1646 \n", + "coef_retail_non_motor -0.030000 -0.030000 -0.0300 \n", + "coef_retail_transit_no_workers -0.307701 -0.307701 -0.3053 \n", + "coef_retail_transit_workers -0.524658 -0.524658 -0.5117 \n", "\n", - " best \n", - "coef_cars1_asc 4.744711 \n", - "coef_cars1_asc_county -0.566000 \n", - "coef_cars1_asc_marin -0.243396 \n", - "coef_cars1_asc_san_francisco 3.984111 \n", - "coef_cars1_auto_time_saving_per_worker -0.039384 \n", - 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"text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 9.359944885353407e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.107476782860855e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 7.627843595130013e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.990378290025734e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.0563705701904108e-16 in general_inverse\n", - 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x\n", + "
keyvalue
x\n", " \n", " \n", " \n", @@ -1563,23 +1577,23 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1587,11 +1601,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1603,11 +1617,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1623,7 +1637,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1631,11 +1645,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1643,175 +1657,175 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1819,816 +1833,3969 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_cars1_asc4.7447111.337433
coef_cars1_asc_county-0.566000-0.655949
coef_cars1_asc_marin-0.243396-0.168475
coef_cars1_asc_san_francisco3.9841110.324519
coef_cars1_auto_time_saving_per_worker-0.0393840.394451
coef_cars1_density_0_10_no_workers
coef_cars1_density_10_up_no_workers-0.006930-0.014457
coef_cars1_density_10_up_workers-0.016448-0.018280
coef_cars1_drivers_2
coef_cars1_drivers_4_up2.0455452.010834
coef_cars1_hh_income_0_30k0.0285640.045617
coef_cars1_hh_income_30_up
coef_cars1_persons_18_24-0.448145-0.475768
coef_cars1_persons_25_34
coef_cars1_presence_children_0_40.4863210.486627
coef_cars1_presence_children_5_17-0.2342660.038980
coef_cars234_asc_marin
coef_cars234_presence_children_0_40.5901130.834181
coef_cars2_asc2.466763-0.816912
coef_cars2_asc_county-0.442900-0.534108
coef_cars2_asc_san_francisco4.0196630.395165
coef_cars2_auto_time_saving_per_worker0.0106060.625959
coef_cars2_density_0_10_no_workers-0.189423-0.188961
coef_cars2_density_10_up_no_workers-0.121021-0.118760
coef_cars2_drivers_22.9451532.883946
coef_cars2_drivers_33.5950543.464192
coef_cars2_drivers_4_up6.8564056.182053
coef_cars2_hh_income_0_30k0.0622690.055723
coef_cars2_hh_income_30_up0.0072880.007093
coef_cars2_num_workers_clip_3-0.0282580.316983
coef_cars2_persons_16_17-1.439330-0.845210
coef_cars2_persons_18_24-0.942633-0.990269
coef_cars2_persons_25_34-0.471640-0.379371
coef_cars2_presence_children_5_170.1645260.327420
coef_cars34_asc_county-0.237200-0.260727
coef_cars34_asc_san_francisco-180.6108020.055894
coef_cars34_density_0_10_no_workers-0.377292-0.342857
coef_cars34_density_10_up_no_workers-0.211272-0.255253
coef_cars34_persons_16_17-1.955221-1.816227
coef_cars34_persons_18_24-0.988280-1.014724
coef_cars34_persons_25_34-0.914993-0.745197
coef_cars34_presence_children_5_170.4654180.541541
coef_cars3_asc185.820626-3.427743
coef_cars3_auto_time_saving_per_worker0.0094180.538213
coef_cars3_drivers_22.3528283.329318
coef_cars3_drivers_35.0484885.702014
coef_cars3_drivers_4_up8.3179508.643466
coef_cars3_hh_income_0_30k0.0519870.064430
coef_cars3_hh_income_30_up0.0047160.009129
coef_cars3_num_workers_clip_30.3741280.650136
coef_cars4_asc-375.140428-5.526492
coef_cars4_auto_time_saving_per_worker-0.1472990.834093
coef_cars4_drivers_2561.0150572.649806
coef_cars4_drivers_3564.4901585.329905
coef_cars4_drivers_4_up568.2725149.423154
coef_cars4_hh_income_0_30k0.0358320.071838
coef_cars4_hh_income_30_up0.0130760.013164
coef_cars4_num_workers_clip_30.6996560.948575
coef_retail_auto_no_workers-0.6377040.039844
coef_retail_auto_workers-0.5311120.155792
coef_retail_non_motor
coef_retail_transit_no_workers-0.333447-0.307701
coef_retail_transit_workers-0.464382-0.524658
tolerance4.356665489100602e-06
steps
array([1. , 1. , 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n",
-       "       0.5, 0.5])
message'Optimization terminated successfully.'
elapsed_time0:00:00.484879
method'bhhh'
n_cases2000
iteration_number15
logloss0.866220904773401
" - ], - "text/plain": [ - "┣ loglike: -1732.441809546802\n", - "┣ x: coef_cars1_asc 4.744711\n", - "┃ coef_cars1_asc_county -0.566000\n", - "┃ coef_cars1_asc_marin -0.243396\n", - "┃ coef_cars1_asc_san_francisco 3.984111\n", - "┃ coef_cars1_auto_time_saving_per_worker -0.039384\n", - "┃ ... \n", - "┃ coef_retail_auto_no_workers -0.637704\n", - "┃ coef_retail_auto_workers -0.531112\n", - "┃ coef_retail_non_motor -0.030000\n", - "┃ coef_retail_transit_no_workers -0.333447\n", - "┃ coef_retail_transit_workers -0.464382\n", - "┃ Length: 66, dtype: float64\n", - "┣ tolerance: 4.356665489100602e-06\n", - "┣ steps: array([1. , 1. , 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5,\n", - "┃ 0.5, 0.5])\n", - "┣ message: 'Optimization terminated successfully.'\n", - "┣ elapsed_time: datetime.timedelta(microseconds=484879)\n", - "┣ method: 'bhhh'\n", - "┣ n_cases: 2000\n", - "┣ iteration_number: 15\n", - "┣ logloss: 0.866220904773401" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.estimate()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Estimated coefficients" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_cars1_asc 4.74 2.66 1.78 NA 0.00
coef_cars1_asc_county-0.566 NA NA[] 0.00 0.00
coef_cars1_asc_marin-0.243 0.0141-17.28*** NA 0.00
coef_cars1_asc_san_francisco 3.98 2.66 1.50 NA 0.00
coef_cars1_auto_time_saving_per_worker-0.0394 0.561-0.07 NA 0.00
coef_cars1_density_0_10_no_workers 0.00 NA NA NA 0.00fixed value
coef_cars1_density_10_up_no_workers-0.00693 0.00514-1.35 NA 0.00
coef_cars1_density_10_up_workers-0.0164 0.00390-4.21*** NA 0.00
coef_cars1_drivers_2 0.00 NA NA NA 0.00fixed value
coef_cars1_drivers_3 0.00 NA NA NA 0.00fixed value
coef_cars1_drivers_4_up 2.05 0.504 4.06*** NA 0.00
coef_cars1_hh_income_0_30k 0.0286 0.00628 4.55*** NA 0.00
coef_cars1_hh_income_30_up 0.00 NA NA NA 0.00fixed value
coef_cars1_num_workers_clip_3 0.00 NA NA NA 0.00fixed value
coef_cars1_persons_16_17 0.00 NA NA NA 0.00fixed value
coef_cars1_persons_18_24-0.448 0.125-3.59*** NA 0.00
coef_cars1_persons_25_34 0.00 NA NA NA 0.00fixed value
coef_cars1_presence_children_0_4 0.486 0.262 1.85 NA 0.00
coef_cars1_presence_children_5_17-0.234 0.196-1.19 NA 0.00
coef_cars234_asc_marin 0.00 NA NA NA 0.00fixed value
coef_cars234_presence_children_0_4 0.590 0.323 1.83 NA 0.00
coef_cars2_asc 2.47 2.66 0.93 NA 0.00
coef_cars2_asc_county-0.443 0.000441-BIG*** NA 0.00
coef_cars2_asc_san_francisco 4.02 2.66 1.51 NA 0.00
coef_cars2_auto_time_saving_per_worker 0.0106 0.709 0.01 NA 0.00
coef_cars2_density_0_10_no_workers-0.189 0.0342-5.54*** NA 0.00
coef_cars2_density_10_up_no_workers-0.121 0.0176-6.87*** NA 0.00
coef_cars2_drivers_2 2.95 0.265 11.12*** NA 0.00
coef_cars2_drivers_3 3.60 0.354 10.14*** NA 0.00
coef_cars2_drivers_4_up 6.86 0.647 10.60*** NA 0.00
coef_cars2_hh_income_0_30k 0.0623 0.0149 4.17*** NA 0.00
coef_cars2_hh_income_30_up 0.00729 0.00256 2.85** NA 0.00
coef_cars2_num_workers_clip_3-0.0283 0.144-0.20 NA 0.00
coef_cars2_persons_16_17-1.44 0.381-3.78*** NA 0.00
coef_cars2_persons_18_24-0.943 0.176-5.36*** NA 0.00
coef_cars2_persons_25_34-0.472 0.0988-4.78*** NA 0.00
coef_cars2_presence_children_5_17 0.165 0.260 0.63 NA 0.00
coef_cars34_asc_county-0.237 8.28e-05-BIG*** NA 0.00
coef_cars34_asc_san_francisco-181. NA NA[***] BIG 0.00
coef_cars34_density_0_10_no_workers-0.377 0.0616-6.12*** NA 0.00
coef_cars34_density_10_up_no_workers-0.211 0.0736-2.87** NA 0.00
coef_cars34_persons_16_17-1.96 0.507-3.86*** NA 0.00
coef_cars34_persons_18_24-0.988 0.215-4.61*** NA 0.00
coef_cars34_persons_25_34-0.915 0.168-5.46*** NA 0.00
coef_cars34_presence_children_5_17 0.465 0.364 1.28 NA 0.00
coef_cars3_asc 186. NA NA[***] BIG 0.00
coef_cars3_auto_time_saving_per_worker 0.00942 1.06 0.01 NA 0.00
coef_cars3_drivers_2 2.35 0.790 2.98** NA 0.00
coef_cars3_drivers_3 5.05 0.811 6.23*** NA 0.00
coef_cars3_drivers_4_up 8.32 1.01 8.25*** NA 0.00
coef_cars3_hh_income_0_30k 0.0520 0.0286 1.82 NA 0.00
coef_cars3_hh_income_30_up 0.00472 0.00485 0.97 NA 0.00
coef_cars3_num_workers_clip_3 0.374 0.234 1.60 NA 0.00
coef_cars4_asc-375. 2.15e+03-0.17 NA 0.00
coef_cars4_auto_time_saving_per_worker-0.147 1.49-0.10 NA 0.00
coef_cars4_drivers_2 561. 2.30e+03 0.24 NA 0.00
coef_cars4_drivers_3 564. 2.30e+03 0.25 NA 0.00
coef_cars4_drivers_4_up 568. 2.30e+03 0.25 NA 0.00
coef_cars4_hh_income_0_30k 0.0358 0.0460 0.78 NA 0.00
coef_cars4_hh_income_30_up 0.0131 0.00635 2.06* NA 0.00
coef_cars4_num_workers_clip_3 0.700 0.321 2.18* NA 0.00
coef_retail_auto_no_workers-0.638 0.595-1.07 NA 0.00
coef_retail_auto_workers-0.531 0.589-0.90 NA 0.00
coef_retail_non_motor-0.0300 NA NA NA 0.00fixed value
coef_retail_transit_no_workers-0.333 0.193-1.73 NA 0.00
coef_retail_transit_workers-0.464 0.162-2.86** NA 0.00
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameter_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "TojXWivZsx7M" - }, - "source": [ - "# Output Estimation Results" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from activitysim.estimation.larch import update_coefficients\n", - "result_dir = data.edb_directory/\"estimated\"\n", - "update_coefficients(\n", - " model, data, result_dir,\n", - " output_file=f\"{modelname}_coefficients_revised.csv\",\n", - ");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, + "
logloss0.924274751334728d_logloss\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
0
coef_cars1_asc5.272591e-05
coef_cars1_asc_county-8.675234e-06
coef_cars1_asc_marin-6.400057e-05
coef_cars1_asc_san_francisco-1.587832e-04
coef_cars1_auto_time_saving_per_worker1.403290e-04
coef_cars1_density_0_10_no_workers0.000000e+00
coef_cars1_density_10_up_no_workers6.620783e-06
coef_cars1_density_10_up_workers-2.503582e-06
coef_cars1_drivers_20.000000e+00
coef_cars1_drivers_30.000000e+00
coef_cars1_drivers_4_up-7.541270e-05
coef_cars1_hh_income_0_30k1.049198e-05
coef_cars1_hh_income_30_up0.000000e+00
coef_cars1_num_workers_clip_30.000000e+00
coef_cars1_persons_16_170.000000e+00
coef_cars1_persons_18_241.878411e-05
coef_cars1_persons_25_340.000000e+00
coef_cars1_presence_children_0_4-2.694541e-05
coef_cars1_presence_children_5_171.274960e-04
coef_cars234_asc_marin0.000000e+00
coef_cars234_presence_children_0_4-3.830304e-05
coef_cars2_asc-1.829182e-05
coef_cars2_asc_county-3.904999e-05
coef_cars2_asc_san_francisco1.268645e-04
coef_cars2_auto_time_saving_per_worker-3.296868e-05
coef_cars2_density_0_10_no_workers-4.356619e-06
coef_cars2_density_10_up_no_workers-1.094392e-05
coef_cars2_drivers_2-4.226757e-05
coef_cars2_drivers_36.818523e-05
coef_cars2_drivers_4_up3.745028e-05
coef_cars2_hh_income_0_30k3.076831e-05
coef_cars2_hh_income_30_up4.120039e-07
coef_cars2_num_workers_clip_3-9.781070e-05
coef_cars2_persons_16_171.620926e-04
coef_cars2_persons_18_24-1.615064e-04
coef_cars2_persons_25_34-1.420584e-05
coef_cars2_presence_children_5_176.079833e-05
coef_cars34_asc_county2.795941e-05
coef_cars34_asc_san_francisco2.027922e-05
coef_cars34_density_0_10_no_workers5.432376e-06
coef_cars34_density_10_up_no_workers4.880993e-05
coef_cars34_persons_16_17-1.804202e-04
coef_cars34_persons_18_247.896584e-05
coef_cars34_persons_25_34-3.944173e-06
coef_cars34_presence_children_5_17-2.364296e-04
coef_cars3_asc4.510100e-05
coef_cars3_auto_time_saving_per_worker-6.354019e-05
coef_cars3_drivers_21.322705e-04
coef_cars3_drivers_37.346112e-05
coef_cars3_drivers_4_up-1.013529e-04
coef_cars3_hh_income_0_30k5.005154e-06
coef_cars3_hh_income_30_up-1.522397e-05
coef_cars3_num_workers_clip_3-2.420821e-04
coef_cars4_asc-4.863863e-05
coef_cars4_auto_time_saving_per_worker-3.102682e-05
coef_cars4_drivers_21.784363e-05
coef_cars4_drivers_32.136643e-05
coef_cars4_drivers_4_up1.397419e-06
coef_cars4_hh_income_0_30k7.719776e-07
coef_cars4_hh_income_30_up-1.121368e-05
coef_cars4_num_workers_clip_3-7.913124e-05
coef_retail_auto_no_workers1.803616e-05
coef_retail_auto_workers-1.355341e-06
coef_retail_non_motor0.000000e+00
coef_retail_transit_no_workers-6.122156e-05
coef_retail_transit_workers-7.132030e-06
nit67nfev84njev67status0message'Optimization terminated successfully'successTrueelapsed_time0:00:01.497985method'slsqp'n_cases20000iteration_number67loglike-18485.49502669456
" + ], + "text/plain": [ + "┣ x: coef_cars1_asc 1.337433\n", + "┃ coef_cars1_asc_county -0.655949\n", + "┃ coef_cars1_asc_marin -0.168475\n", + "┃ coef_cars1_asc_san_francisco 0.324519\n", + "┃ coef_cars1_auto_time_saving_per_worker 0.394451\n", + "┃ ... \n", + "┃ coef_retail_auto_no_workers 0.039844\n", + "┃ coef_retail_auto_workers 0.155792\n", + "┃ coef_retail_non_motor -0.030000\n", + "┃ coef_retail_transit_no_workers -0.307701\n", + "┃ coef_retail_transit_workers -0.524658\n", + "┃ Length: 66, dtype: float64\n", + "┣ logloss: 0.924274751334728\n", + "┣ d_logloss: coef_cars1_asc 0.000053\n", + "┃ coef_cars1_asc_county -0.000009\n", + "┃ coef_cars1_asc_marin -0.000064\n", + "┃ coef_cars1_asc_san_francisco -0.000159\n", + "┃ coef_cars1_auto_time_saving_per_worker 0.000140\n", + "┃ ... \n", + "┃ coef_retail_auto_no_workers 0.000018\n", + "┃ coef_retail_auto_workers -0.000001\n", + "┃ coef_retail_non_motor 0.000000\n", + "┃ coef_retail_transit_no_workers -0.000061\n", + "┃ coef_retail_transit_workers -0.000007\n", + "┃ Length: 66, dtype: float64\n", + "┣ nit: 67\n", + "┣ nfev: 84\n", + "┣ njev: 67\n", + "┣ status: 0\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ success: True\n", + "┣ elapsed_time: datetime.timedelta(seconds=1, microseconds=497985)\n", + "┣ method: 'slsqp'\n", + "┣ n_cases: 20000\n", + "┣ iteration_number: 67\n", + "┣ loglike: -18485.49502669456" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "### Write the model estimation report, including coefficient t-statistic and log likelihood" + "model.estimate()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Estimated coefficients" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " 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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_cars1_asc 1.34 0.941 1.42 0.00
coef_cars1_asc_county-0.656 0.158-4.14*** 0.00
coef_cars1_asc_marin-0.168 0.106-1.58 0.00
coef_cars1_asc_san_francisco 0.325 0.0979 3.31*** 0.00
coef_cars1_auto_time_saving_per_worker 0.394 0.188 2.10* 0.00
coef_cars1_density_0_10_no_workers 0.00 0.00 NA 0.00fixed value
coef_cars1_density_10_up_no_workers-0.0145 0.00339-4.27*** 0.00
coef_cars1_density_10_up_workers-0.0183 0.00271-6.75*** 0.00
coef_cars1_drivers_2 0.00 0.00 NA 0.00fixed value
coef_cars1_drivers_3 0.00 0.00 NA 0.00fixed value
coef_cars1_drivers_4_up 2.01 0.317 6.35*** 0.00
coef_cars1_hh_income_0_30k 0.0456 0.00298 15.29*** 0.00
coef_cars1_hh_income_30_up 0.00 0.00 NA 0.00fixed value
coef_cars1_num_workers_clip_3 0.00 0.00 NA 0.00fixed value
coef_cars1_persons_16_17 0.00 0.00 NA 0.00fixed value
coef_cars1_persons_18_24-0.476 0.0586-8.11*** 0.00
coef_cars1_persons_25_34 0.00 0.00 NA 0.00fixed value
coef_cars1_presence_children_0_4 0.487 0.130 3.75*** 0.00
coef_cars1_presence_children_5_17 0.0390 0.0934 0.42 0.00
coef_cars234_asc_marin 0.00 0.00 NA 0.00fixed value
coef_cars234_presence_children_0_4 0.834 0.137 6.10*** 0.00
coef_cars2_asc-0.817 0.944-0.87 0.00
coef_cars2_asc_county-0.534 0.166-3.22** 0.00
coef_cars2_asc_san_francisco 0.395 0.123 3.22** 0.00
coef_cars2_auto_time_saving_per_worker 0.626 0.197 3.18** 0.00
coef_cars2_density_0_10_no_workers-0.189 0.0118-16.03*** 0.00
coef_cars2_density_10_up_no_workers-0.119 0.0117-10.12*** 0.00
coef_cars2_drivers_2 2.88 0.0602 47.87*** 0.00
coef_cars2_drivers_3 3.46 0.0971 35.68*** 0.00
coef_cars2_drivers_4_up 6.18 0.332 18.61*** 0.00
coef_cars2_hh_income_0_30k 0.0557 0.00419 13.31*** 0.00
coef_cars2_hh_income_30_up 0.00709 0.000782 9.07*** 0.00
coef_cars2_num_workers_clip_3 0.317 0.0420 7.55*** 0.00
coef_cars2_persons_16_17-0.845 0.0976-8.66*** 0.00
coef_cars2_persons_18_24-0.990 0.0659-15.04*** 0.00
coef_cars2_persons_25_34-0.379 0.0322-11.77*** 0.00
coef_cars2_presence_children_5_17 0.327 0.104 3.16** 0.00
coef_cars34_asc_county-0.261 0.173-1.50 0.00
coef_cars34_asc_san_francisco 0.0559 0.161 0.35 0.00
coef_cars34_density_0_10_no_workers-0.343 0.0182-18.81*** 0.00
coef_cars34_density_10_up_no_workers-0.255 0.0544-4.69*** 0.00
coef_cars34_persons_16_17-1.82 0.113-16.13*** 0.00
coef_cars34_persons_18_24-1.01 0.0695-14.60*** 0.00
coef_cars34_persons_25_34-0.745 0.0402-18.56*** 0.00
coef_cars34_presence_children_5_17 0.542 0.112 4.83*** 0.00
coef_cars3_asc-3.43 0.962-3.56*** 0.00
coef_cars3_auto_time_saving_per_worker 0.538 0.215 2.50* 0.00
coef_cars3_drivers_2 3.33 0.151 21.99*** 0.00
coef_cars3_drivers_3 5.70 0.170 33.48*** 0.00
coef_cars3_drivers_4_up 8.64 0.364 23.72*** 0.00
coef_cars3_hh_income_0_30k 0.0644 0.00668 9.65*** 0.00
coef_cars3_hh_income_30_up 0.00913 0.00103 8.88*** 0.00
coef_cars3_num_workers_clip_3 0.650 0.0519 12.53*** 0.00
coef_cars4_asc-5.53 1.02-5.42*** 0.00
coef_cars4_auto_time_saving_per_worker 0.834 0.249 3.35*** 0.00
coef_cars4_drivers_2 2.65 0.287 9.23*** 0.00
coef_cars4_drivers_3 5.33 0.297 17.95*** 0.00
coef_cars4_drivers_4_up 9.42 0.436 21.59*** 0.00
coef_cars4_hh_income_0_30k 0.0718 0.0111 6.46*** 0.00
coef_cars4_hh_income_30_up 0.0132 0.00132 10.00*** 0.00
coef_cars4_num_workers_clip_3 0.949 0.0646 14.69*** 0.00
coef_retail_auto_no_workers 0.0398 0.101 0.39 0.00
coef_retail_auto_workers 0.156 0.102 1.52 0.00
coef_retail_non_motor-0.0300 0.00 NA 0.00fixed value
coef_retail_transit_no_workers-0.308 0.0295-10.44*** 0.00
coef_retail_transit_workers-0.525 0.0396-13.24*** 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.parameter_summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "TojXWivZsx7M" + }, + "source": [ + "# Output Estimation Results" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "from activitysim.estimation.larch import update_coefficients\n", + "result_dir = data.edb_directory/\"estimated\"\n", + "update_coefficients(\n", + " model, data, result_dir,\n", + " output_file=f\"{modelname}_coefficients_revised.csv\",\n", + ");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Write the model estimation report, including coefficient t-statistic and log likelihood" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "model.to_xlsx(\n", + " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", + " data_statistics=False,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Next Steps\n", + "\n", + "The final step is to either manually or automatically copy the `*_coefficients_revised.csv` file to the configs folder, rename it to `*_coefficients.csv`, and run ActivitySim in simulation mode." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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coefficient_namevalueconstrain
0coef_cars1_drivers_20.000000T
1coef_cars1_drivers_30.000000T
2coef_cars1_persons_16_170.000000T
3coef_cars234_asc_marin0.000000T
4coef_cars1_persons_25_340.000000T
............
62coef_cars4_drivers_35.329905F
63coef_cars3_drivers_35.702014F
64coef_cars2_drivers_4_up6.182053F
65coef_cars3_drivers_4_up8.643466F
66coef_cars4_drivers_4_up9.423154F
\n", + "

67 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " coefficient_name value constrain\n", + "0 coef_cars1_drivers_2 0.000000 T\n", + "1 coef_cars1_drivers_3 0.000000 T\n", + "2 coef_cars1_persons_16_17 0.000000 T\n", + "3 coef_cars234_asc_marin 0.000000 T\n", + "4 coef_cars1_persons_25_34 0.000000 T\n", + ".. ... ... ...\n", + "62 coef_cars4_drivers_3 5.329905 F\n", + "63 coef_cars3_drivers_3 5.702014 F\n", + "64 coef_cars2_drivers_4_up 6.182053 F\n", + "65 coef_cars3_drivers_4_up 8.643466 F\n", + "66 coef_cars4_drivers_4_up 9.423154 F\n", + "\n", + "[67 rows x 3 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv(result_dir/f\"{modelname}_coefficients_revised.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Modify Spec\n", + "\n", + "Here, we will demonstrate the process of re-estimating the model with a modified\n", + "SPEC file. This does *not* require re-running ActivitySim, it just requires\n", + "changing the SPEC file and re-running the Larch estimation only.\n", + "\n", + "The `backup` command we ran earlier made a backup copy of the\n", + "original spec file in the EDB directory.\n", + "This was not strictly necessary, but since we're about to modify it and\n", + "we may want undo our changes, it can be handy to keep a copy of the\n", + "original spec file around. Since we already have a backup copy, we'll make some \n", + "changes directly in the SPEC file. As an example here, we're going\n", + "to re-write the household income section of the file, to change the piecewise \n", + "linear utility from 3 segments to 4. We'll move the breakpoints and rename some\n", + "coefficients to accomodate the change. As above, for this demo we are editing \n", + "the SPEC file using Python code to make the changes, but a user does not need\n", + "to change the file using Python; any CSV editor (e.g. Excel) can be used. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "with open(data.edb_directory / \"auto_ownership_SPEC.csv\") as f:\n", + " raw_spec = f.read()\n", + "\n", + "orig_lines = \"\"\"util_hh_income_0_30k,\"Piecewise Linear household income, $0-30k\",\"@df.income_in_thousands.clip(0, 30)\",,coef_cars1_hh_income_0_30k,coef_cars2_hh_income_0_30k,coef_cars3_hh_income_0_30k,coef_cars4_hh_income_0_30k\n", + "util_hh_income_30_75k,\"Piecewise Linear household income, $30-75k\",\"@(df.income_in_thousands-30).clip(0, 45)\",,coef_cars1_hh_income_30_up,coef_cars2_hh_income_30_up,coef_cars3_hh_income_30_up,coef_cars4_hh_income_30_up\n", + "util_hh_income_75k_up,\"Piecewise Linear household income, $75k+, capped at $125k\",\"@(df.income_in_thousands-75).clip(0, 50)\",,coef_cars1_hh_income_30_up,coef_cars2_hh_income_30_up,coef_cars3_hh_income_30_up,coef_cars4_hh_income_30_up\"\"\"\n", + "\n", + "repl_lines = \"\"\"util_hh_income_0_25k,\"Piecewise Linear household income, $0-25k\",\"@df.income_in_thousands.clip(0, 25)\",,coef_cars1_hh_income_0_25k,coef_cars2_hh_income_0_25k,coef_cars3_hh_income_0_25k,coef_cars4_hh_income_0_25k\n", + "util_hh_income_25_50k,\"Piecewise Linear household income, $25-50k\",\"@(df.income_in_thousands-25).clip(0, 25)\",,coef_cars1_hh_income_25_50,coef_cars2_hh_income_25_50,coef_cars3_hh_income_25_50,coef_cars4_hh_income_25_50\n", + "util_hh_income_50_75k,\"Piecewise Linear household income, $50-75k\",\"@(df.income_in_thousands-50).clip(0, 25)\",,coef_cars1_hh_income_50_75,coef_cars2_hh_income_50_75,coef_cars3_hh_income_50_75,coef_cars4_hh_income_50_75\n", + "util_hh_income_75k_150k,\"Piecewise Linear household income, $75k+, capped at $150k\",\"@(df.income_in_thousands-75).clip(0, 75)\",,coef_cars1_hh_income_75_up,coef_cars2_hh_income_75_up,coef_cars3_hh_income_75_up,coef_cars4_hh_income_75_up\"\"\"\n", + "\n", + "raw_spec = raw_spec.replace(orig_lines, repl_lines)\n", + "\n", + "with open(data.edb_directory / \"auto_ownership_SPEC.csv\", mode=\"w\") as f:\n", + " f.write(raw_spec)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### WARNING\n", + "\n", + "The re-estimation process will use the variable in the estimation data bundle (EDB) given by the \"Label\" \n", + "column of the SPEC, if a variable with that exact name exists in the EDB. Otherwise, it will attempt to\n", + "re-evaluate the contents of the \"Expression\" column using Sharrow, and the other data in the EDB. Thus,\n", + "the expression must only reference other data that is available explicitly in the EDB; to use \n", + "variables that ActivitySim could access but which have not been written to the EDB, it will be necessary\n", + "to go back to ActivitySim and re-run in estimation mode.\n", + "\n", + "Also, the estimation functions do not inherently know what the \"original\" spec file contained, and rely\n", + "entirely on the presence or absence of an exact match on the \"Label\" column to find pre-evaluated expressions.\n", + "It is imcumbent on the user to ensure that any material changes the Expression column are also reflected\n", + "by a new unique name in the \"Label\" column." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now to re-estimate the model, we just re-run the same steps as the original estimation above." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/auto_ownership/auto_ownership_values_combined.parquet\n" + ] + } + ], + "source": [ + "model2, data2 = component_model(modelname, edb_directory=data.edb_directory, return_data=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You may notice in the utility functions shown below, all of the unadulterated lines of the \n", + "spec file correlate with utility terms that are simple `X.label` data items, which are \n", + "stored as pre-computed data variables in the EDB. Our modified lines, however, are now\n", + "showing the complete expression that will be freshly evaluated by Larch using Sharrow." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
<larch.DictOfLinearFunction>
altformula
1
<Empty LinearFunction>
2
P.coef_cars1_drivers_2 * X.util_drivers_2
 + P.coef_cars1_drivers_3 * X.util_drivers_3
 + P.coef_cars1_drivers_4_up * X.util_drivers_4_up
 + P.coef_cars1_persons_16_17 * X.util_persons_16_17
 + P.coef_cars1_persons_18_24 * X.util_persons_18_24
 + P.coef_cars1_persons_25_34 * X.util_persons_25_34
 + P.coef_cars1_presence_children_0_4 * X.util_presence_children_0_4
 + P.coef_cars1_presence_children_5_17 * X.util_presence_children_5_17
 + P.coef_cars1_num_workers_clip_3 * X.util_num_workers_clip_3
 + P.coef_cars1_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')
 + P.coef_cars1_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')
 + P.coef_cars1_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')
 + P.coef_cars1_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')
 + P.coef_cars1_density_0_10_no_workers * X.util_density_0_10_no_workers
 + P.coef_cars1_density_10_up_no_workers * X.util_density_10_up_no_workers
 + P.coef_cars1_density_0_10_no_workers * X.util_density_0_10_workers
 + P.coef_cars1_density_10_up_workers * X.util_density_10_up_workers
 + P.coef_cars1_asc * X.util_asc
 + P.coef_cars1_asc_san_francisco * X.util_asc_san_francisco
 + P.coef_cars1_asc_county * X.util_asc_solano
 + P.coef_cars1_asc_county * X.util_asc_napa
 + P.coef_cars1_asc_county * X.util_asc_sonoma
 + P.coef_cars1_asc_marin * X.util_asc_marin
 + P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers
 + P.coef_retail_auto_workers * X.util_retail_auto_workers
 + P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers
 + P.coef_retail_transit_workers * X.util_retail_transit_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_no_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_workers
 + P.coef_cars1_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker
3
P.coef_cars2_drivers_2 * X.util_drivers_2
 + P.coef_cars2_drivers_3 * X.util_drivers_3
 + P.coef_cars2_drivers_4_up * X.util_drivers_4_up
 + P.coef_cars2_persons_16_17 * X.util_persons_16_17
 + P.coef_cars2_persons_18_24 * X.util_persons_18_24
 + P.coef_cars2_persons_25_34 * X.util_persons_25_34
 + P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4
 + P.coef_cars2_presence_children_5_17 * X.util_presence_children_5_17
 + P.coef_cars2_num_workers_clip_3 * X.util_num_workers_clip_3
 + P.coef_cars2_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')
 + P.coef_cars2_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')
 + P.coef_cars2_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')
 + P.coef_cars2_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')
 + P.coef_cars2_density_0_10_no_workers * X.util_density_0_10_no_workers
 + P.coef_cars2_density_10_up_no_workers * X.util_density_10_up_no_workers
 + P.coef_cars2_density_0_10_no_workers * X.util_density_0_10_workers
 + P.coef_cars2_density_10_up_no_workers * X.util_density_10_up_workers
 + P.coef_cars2_asc * X.util_asc
 + P.coef_cars2_asc_san_francisco * X.util_asc_san_francisco
 + P.coef_cars2_asc_county * X.util_asc_solano
 + P.coef_cars2_asc_county * X.util_asc_napa
 + P.coef_cars2_asc_county * X.util_asc_sonoma
 + P.coef_cars234_asc_marin * X.util_asc_marin
 + P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers
 + P.coef_retail_auto_workers * X.util_retail_auto_workers
 + P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers
 + P.coef_retail_transit_workers * X.util_retail_transit_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_no_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_workers
 + P.coef_cars2_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker
4
P.coef_cars3_drivers_2 * X.util_drivers_2
 + P.coef_cars3_drivers_3 * X.util_drivers_3
 + P.coef_cars3_drivers_4_up * X.util_drivers_4_up
 + P.coef_cars34_persons_16_17 * X.util_persons_16_17
 + P.coef_cars34_persons_18_24 * X.util_persons_18_24
 + P.coef_cars34_persons_25_34 * X.util_persons_25_34
 + P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4
 + P.coef_cars34_presence_children_5_17 * X.util_presence_children_5_17
 + P.coef_cars3_num_workers_clip_3 * X.util_num_workers_clip_3
 + P.coef_cars3_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')
 + P.coef_cars3_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')
 + P.coef_cars3_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')
 + P.coef_cars3_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')
 + P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_no_workers
 + P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_no_workers
 + P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_workers
 + P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_workers
 + P.coef_cars3_asc * X.util_asc
 + P.coef_cars34_asc_san_francisco * X.util_asc_san_francisco
 + P.coef_cars34_asc_county * X.util_asc_solano
 + P.coef_cars34_asc_county * X.util_asc_napa
 + P.coef_cars34_asc_county * X.util_asc_sonoma
 + P.coef_cars234_asc_marin * X.util_asc_marin
 + P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers
 + P.coef_retail_auto_workers * X.util_retail_auto_workers
 + P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers
 + P.coef_retail_transit_workers * X.util_retail_transit_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_no_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_workers
 + P.coef_cars3_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker
5
P.coef_cars4_drivers_2 * X.util_drivers_2
 + P.coef_cars4_drivers_3 * X.util_drivers_3
 + P.coef_cars4_drivers_4_up * X.util_drivers_4_up
 + P.coef_cars34_persons_16_17 * X.util_persons_16_17
 + P.coef_cars34_persons_18_24 * X.util_persons_18_24
 + P.coef_cars34_persons_25_34 * X.util_persons_25_34
 + P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4
 + P.coef_cars34_presence_children_5_17 * X.util_presence_children_5_17
 + P.coef_cars4_num_workers_clip_3 * X.util_num_workers_clip_3
 + P.coef_cars4_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')
 + P.coef_cars4_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')
 + P.coef_cars4_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')
 + P.coef_cars4_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')
 + P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_no_workers
 + P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_no_workers
 + P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_workers
 + P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_workers
 + P.coef_cars4_asc * X.util_asc
 + P.coef_cars34_asc_san_francisco * X.util_asc_san_francisco
 + P.coef_cars34_asc_county * X.util_asc_solano
 + P.coef_cars34_asc_county * X.util_asc_napa
 + P.coef_cars34_asc_county * X.util_asc_sonoma
 + P.coef_cars234_asc_marin * X.util_asc_marin
 + P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers
 + P.coef_retail_auto_workers * X.util_retail_auto_workers
 + P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers
 + P.coef_retail_transit_workers * X.util_retail_transit_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_no_workers
 + P.coef_retail_non_motor * X.util_retail_non_motor_workers
 + P.coef_cars4_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker
" + ], + "text/plain": [ + "DictOfLinearFunction({1: , 2: P.coef_cars1_drivers_2 * X.util_drivers_2\n", + "+ P.coef_cars1_drivers_3 * X.util_drivers_3\n", + "+ P.coef_cars1_drivers_4_up * X.util_drivers_4_up\n", + "+ P.coef_cars1_persons_16_17 * X.util_persons_16_17\n", + "+ P.coef_cars1_persons_18_24 * X.util_persons_18_24\n", + "+ P.coef_cars1_persons_25_34 * X.util_persons_25_34\n", + "+ P.coef_cars1_presence_children_0_4 * X.util_presence_children_0_4\n", + "+ P.coef_cars1_presence_children_5_17 * X.util_presence_children_5_17\n", + "+ P.coef_cars1_num_workers_clip_3 * X.util_num_workers_clip_3\n", + "+ P.coef_cars1_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')\n", + "+ P.coef_cars1_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')\n", + "+ P.coef_cars1_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')\n", + "+ P.coef_cars1_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')\n", + "+ P.coef_cars1_density_0_10_no_workers * X.util_density_0_10_no_workers\n", + "+ P.coef_cars1_density_10_up_no_workers * X.util_density_10_up_no_workers\n", + "+ P.coef_cars1_density_0_10_no_workers * X.util_density_0_10_workers\n", + "+ P.coef_cars1_density_10_up_workers * X.util_density_10_up_workers\n", + "+ P.coef_cars1_asc * X.util_asc\n", + "+ P.coef_cars1_asc_san_francisco * X.util_asc_san_francisco\n", + "+ P.coef_cars1_asc_county * X.util_asc_solano\n", + "+ P.coef_cars1_asc_county * X.util_asc_napa\n", + "+ P.coef_cars1_asc_county * X.util_asc_sonoma\n", + "+ P.coef_cars1_asc_marin * X.util_asc_marin\n", + "+ P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers\n", + "+ P.coef_retail_auto_workers * X.util_retail_auto_workers\n", + "+ P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers\n", + "+ P.coef_retail_transit_workers * X.util_retail_transit_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_no_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_workers\n", + "+ P.coef_cars1_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker, 3: P.coef_cars2_drivers_2 * X.util_drivers_2\n", + "+ P.coef_cars2_drivers_3 * X.util_drivers_3\n", + "+ P.coef_cars2_drivers_4_up * X.util_drivers_4_up\n", + "+ P.coef_cars2_persons_16_17 * X.util_persons_16_17\n", + "+ P.coef_cars2_persons_18_24 * X.util_persons_18_24\n", + "+ P.coef_cars2_persons_25_34 * X.util_persons_25_34\n", + "+ P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4\n", + "+ P.coef_cars2_presence_children_5_17 * X.util_presence_children_5_17\n", + "+ P.coef_cars2_num_workers_clip_3 * X.util_num_workers_clip_3\n", + "+ P.coef_cars2_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')\n", + "+ P.coef_cars2_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')\n", + "+ P.coef_cars2_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')\n", + "+ P.coef_cars2_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')\n", + "+ P.coef_cars2_density_0_10_no_workers * X.util_density_0_10_no_workers\n", + "+ P.coef_cars2_density_10_up_no_workers * X.util_density_10_up_no_workers\n", + "+ P.coef_cars2_density_0_10_no_workers * X.util_density_0_10_workers\n", + "+ P.coef_cars2_density_10_up_no_workers * X.util_density_10_up_workers\n", + "+ P.coef_cars2_asc * X.util_asc\n", + "+ P.coef_cars2_asc_san_francisco * X.util_asc_san_francisco\n", + "+ P.coef_cars2_asc_county * X.util_asc_solano\n", + "+ P.coef_cars2_asc_county * X.util_asc_napa\n", + "+ P.coef_cars2_asc_county * X.util_asc_sonoma\n", + "+ P.coef_cars234_asc_marin * X.util_asc_marin\n", + "+ P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers\n", + "+ P.coef_retail_auto_workers * X.util_retail_auto_workers\n", + "+ P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers\n", + "+ P.coef_retail_transit_workers * X.util_retail_transit_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_no_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_workers\n", + "+ P.coef_cars2_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker, 4: P.coef_cars3_drivers_2 * X.util_drivers_2\n", + "+ P.coef_cars3_drivers_3 * X.util_drivers_3\n", + "+ P.coef_cars3_drivers_4_up * X.util_drivers_4_up\n", + "+ P.coef_cars34_persons_16_17 * X.util_persons_16_17\n", + "+ P.coef_cars34_persons_18_24 * X.util_persons_18_24\n", + "+ P.coef_cars34_persons_25_34 * X.util_persons_25_34\n", + "+ P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4\n", + "+ P.coef_cars34_presence_children_5_17 * X.util_presence_children_5_17\n", + "+ P.coef_cars3_num_workers_clip_3 * X.util_num_workers_clip_3\n", + "+ P.coef_cars3_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')\n", + "+ P.coef_cars3_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')\n", + "+ P.coef_cars3_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')\n", + "+ P.coef_cars3_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')\n", + "+ P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_no_workers\n", + "+ P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_no_workers\n", + "+ P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_workers\n", + "+ P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_workers\n", + "+ P.coef_cars3_asc * X.util_asc\n", + "+ P.coef_cars34_asc_san_francisco * X.util_asc_san_francisco\n", + "+ P.coef_cars34_asc_county * X.util_asc_solano\n", + "+ P.coef_cars34_asc_county * X.util_asc_napa\n", + "+ P.coef_cars34_asc_county * X.util_asc_sonoma\n", + "+ P.coef_cars234_asc_marin * X.util_asc_marin\n", + "+ P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers\n", + "+ P.coef_retail_auto_workers * X.util_retail_auto_workers\n", + "+ P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers\n", + "+ P.coef_retail_transit_workers * X.util_retail_transit_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_no_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_workers\n", + "+ P.coef_cars3_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker, 5: P.coef_cars4_drivers_2 * X.util_drivers_2\n", + "+ P.coef_cars4_drivers_3 * X.util_drivers_3\n", + "+ P.coef_cars4_drivers_4_up * X.util_drivers_4_up\n", + "+ P.coef_cars34_persons_16_17 * X.util_persons_16_17\n", + "+ P.coef_cars34_persons_18_24 * X.util_persons_18_24\n", + "+ P.coef_cars34_persons_25_34 * X.util_persons_25_34\n", + "+ P.coef_cars234_presence_children_0_4 * X.util_presence_children_0_4\n", + "+ P.coef_cars34_presence_children_5_17 * X.util_presence_children_5_17\n", + "+ P.coef_cars4_num_workers_clip_3 * X.util_num_workers_clip_3\n", + "+ P.coef_cars4_hh_income_0_25k * X('df.income_in_thousands.clip(0, 25)')\n", + "+ P.coef_cars4_hh_income_25_50 * X('(df.income_in_thousands-25).clip(0, 25)')\n", + "+ P.coef_cars4_hh_income_50_75 * X('(df.income_in_thousands-50).clip(0, 25)')\n", + "+ P.coef_cars4_hh_income_75_up * X('(df.income_in_thousands-75).clip(0, 75)')\n", + "+ P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_no_workers\n", + "+ P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_no_workers\n", + "+ P.coef_cars34_density_0_10_no_workers * X.util_density_0_10_workers\n", + "+ P.coef_cars34_density_10_up_no_workers * X.util_density_10_up_workers\n", + "+ P.coef_cars4_asc * X.util_asc\n", + "+ P.coef_cars34_asc_san_francisco * X.util_asc_san_francisco\n", + "+ P.coef_cars34_asc_county * X.util_asc_solano\n", + "+ P.coef_cars34_asc_county * X.util_asc_napa\n", + "+ P.coef_cars34_asc_county * X.util_asc_sonoma\n", + "+ P.coef_cars234_asc_marin * X.util_asc_marin\n", + "+ P.coef_retail_auto_no_workers * X.util_retail_auto_no_workers\n", + "+ P.coef_retail_auto_workers * X.util_retail_auto_workers\n", + "+ P.coef_retail_transit_no_workers * X.util_retail_transit_no_workers\n", + "+ P.coef_retail_transit_workers * X.util_retail_transit_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_no_workers\n", + "+ P.coef_retail_non_motor * X.util_retail_non_motor_workers\n", + "+ P.coef_cars4_auto_time_saving_per_worker * X.util_auto_time_saving_per_worker})" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model2.utility_co" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Iteration 077 [Optimization terminated successfully]

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "

Best LL = -18480.69200834759

" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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valuebestinitvalueminimummaximumnullvalueholdfast
param_name
coef_cars1_asc1.4519301.4519301.1865-50.0050.000.00
coef_cars1_asc_county-0.669928-0.669928-0.5660-50.0050.000.00
coef_cars1_asc_marin-0.170886-0.170886-0.2434-50.0050.000.00
coef_cars1_asc_san_francisco0.3172280.3172280.4259-50.0050.000.00
coef_cars1_auto_time_saving_per_worker0.3802890.3802890.4707-50.0050.000.00
........................
coef_retail_auto_no_workers0.0278530.0278530.0626-50.0050.000.00
coef_retail_auto_workers0.1430320.1430320.1646-50.0050.000.00
coef_retail_non_motor-0.030000-0.030000-0.0300-0.03-0.030.01
coef_retail_transit_no_workers-0.307531-0.307531-0.3053-50.0050.000.00
coef_retail_transit_workers-0.522486-0.522486-0.5117-50.0050.000.00
\n", + "

74 rows × 7 columns

\n", + "
" + ], + "text/plain": [ + " value best initvalue \\\n", + "param_name \n", + "coef_cars1_asc 1.451930 1.451930 1.1865 \n", + "coef_cars1_asc_county -0.669928 -0.669928 -0.5660 \n", + "coef_cars1_asc_marin -0.170886 -0.170886 -0.2434 \n", + "coef_cars1_asc_san_francisco 0.317228 0.317228 0.4259 \n", + "coef_cars1_auto_time_saving_per_worker 0.380289 0.380289 0.4707 \n", + "... ... ... ... \n", + "coef_retail_auto_no_workers 0.027853 0.027853 0.0626 \n", + "coef_retail_auto_workers 0.143032 0.143032 0.1646 \n", + "coef_retail_non_motor -0.030000 -0.030000 -0.0300 \n", + "coef_retail_transit_no_workers -0.307531 -0.307531 -0.3053 \n", + "coef_retail_transit_workers -0.522486 -0.522486 -0.5117 \n", + "\n", + " minimum maximum nullvalue holdfast \n", + "param_name \n", + "coef_cars1_asc -50.00 50.00 0.0 0 \n", + "coef_cars1_asc_county -50.00 50.00 0.0 0 \n", + "coef_cars1_asc_marin -50.00 50.00 0.0 0 \n", + "coef_cars1_asc_san_francisco -50.00 50.00 0.0 0 \n", + "coef_cars1_auto_time_saving_per_worker -50.00 50.00 0.0 0 \n", + "... ... ... ... ... \n", + "coef_retail_auto_no_workers -50.00 50.00 0.0 0 \n", + "coef_retail_auto_workers -50.00 50.00 0.0 0 \n", + "coef_retail_non_motor -0.03 -0.03 0.0 1 \n", + "coef_retail_transit_no_workers -50.00 50.00 0.0 0 \n", + "coef_retail_transit_workers -50.00 50.00 0.0 0 \n", + "\n", + "[74 rows x 7 columns]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
keyvalue
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0
coef_cars1_asc1.451930
coef_cars1_asc_county-0.669928
coef_cars1_asc_marin-0.170886
coef_cars1_asc_san_francisco0.317228
coef_cars1_auto_time_saving_per_worker0.380289
coef_cars1_density_0_10_no_workers0.000000
coef_cars1_density_10_up_no_workers-0.014252
coef_cars1_density_10_up_workers-0.018450
coef_cars1_drivers_20.000000
coef_cars1_drivers_30.000000
coef_cars1_drivers_4_up1.993329
coef_cars1_hh_income_0_25k0.047122
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coef_cars1_hh_income_75_up-0.002331
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coef_cars1_persons_16_170.000000
coef_cars1_persons_18_24-0.473008
coef_cars1_persons_25_340.000000
coef_cars1_presence_children_0_40.494212
coef_cars1_presence_children_5_170.044213
coef_cars234_asc_marin0.000000
coef_cars234_presence_children_0_40.839737
coef_cars2_asc-0.751717
coef_cars2_asc_county-0.552884
coef_cars2_asc_san_francisco0.394107
coef_cars2_auto_time_saving_per_worker0.608005
coef_cars2_density_0_10_no_workers-0.190732
coef_cars2_density_10_up_no_workers-0.118593
coef_cars2_drivers_22.883229
coef_cars2_drivers_33.462629
coef_cars2_drivers_4_up6.177691
coef_cars2_hh_income_0_25k0.062963
coef_cars2_hh_income_25_500.007705
coef_cars2_hh_income_50_750.019152
coef_cars2_hh_income_75_up0.002677
coef_cars2_num_workers_clip_30.316577
coef_cars2_persons_16_17-0.851694
coef_cars2_persons_18_24-0.988962
coef_cars2_persons_25_34-0.375153
coef_cars2_presence_children_5_170.333678
coef_cars34_asc_county-0.272462
coef_cars34_asc_san_francisco0.042635
coef_cars34_density_0_10_no_workers-0.343379
coef_cars34_density_10_up_no_workers-0.254388
coef_cars34_persons_16_17-1.828782
coef_cars34_persons_18_24-1.015850
coef_cars34_persons_25_34-0.741201
coef_cars34_presence_children_5_170.545134
coef_cars3_asc-3.502778
coef_cars3_auto_time_saving_per_worker0.528275
coef_cars3_drivers_23.337821
coef_cars3_drivers_35.712040
coef_cars3_drivers_4_up8.649770
coef_cars3_hh_income_0_25k0.081492
coef_cars3_hh_income_25_500.001622
coef_cars3_hh_income_50_750.026796
coef_cars3_hh_income_75_up0.003811
coef_cars3_num_workers_clip_30.651693
coef_cars4_asc-5.633922
coef_cars4_auto_time_saving_per_worker0.825818
coef_cars4_drivers_22.636133
coef_cars4_drivers_35.304881
coef_cars4_drivers_4_up9.400424
coef_cars4_hh_income_0_25k0.095108
coef_cars4_hh_income_25_500.002764
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coef_retail_auto_no_workers0.027853
coef_retail_auto_workers0.143032
coef_retail_non_motor-0.030000
coef_retail_transit_no_workers-0.307531
coef_retail_transit_workers-0.522486
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coef_cars1_asc0.000104
coef_cars1_asc_county-0.000032
coef_cars1_asc_marin-0.000051
coef_cars1_asc_san_francisco-0.000097
coef_cars1_auto_time_saving_per_worker0.000056
coef_cars1_density_0_10_no_workers0.000000
coef_cars1_density_10_up_no_workers-0.000020
coef_cars1_density_10_up_workers0.000007
coef_cars1_drivers_20.000000
coef_cars1_drivers_30.000000
coef_cars1_drivers_4_up-0.000038
coef_cars1_hh_income_0_25k0.000119
coef_cars1_hh_income_25_500.000125
coef_cars1_hh_income_50_750.000092
coef_cars1_hh_income_75_up0.000120
coef_cars1_num_workers_clip_30.000000
coef_cars1_persons_16_170.000000
coef_cars1_persons_18_240.000042
coef_cars1_persons_25_340.000000
coef_cars1_presence_children_0_40.000002
coef_cars1_presence_children_5_170.000109
coef_cars234_asc_marin0.000000
coef_cars234_presence_children_0_4-0.000091
coef_cars2_asc-0.000074
coef_cars2_asc_county0.000006
coef_cars2_asc_san_francisco0.000069
coef_cars2_auto_time_saving_per_worker0.000086
coef_cars2_density_0_10_no_workers0.000073
coef_cars2_density_10_up_no_workers-0.000101
coef_cars2_drivers_2-0.000008
coef_cars2_drivers_30.000049
coef_cars2_drivers_4_up-0.000019
coef_cars2_hh_income_0_25k0.000382
coef_cars2_hh_income_25_500.000289
coef_cars2_hh_income_50_750.000444
coef_cars2_hh_income_75_up0.000750
coef_cars2_num_workers_clip_30.000106
coef_cars2_persons_16_170.000130
coef_cars2_persons_18_24-0.000274
coef_cars2_persons_25_34-0.000109
coef_cars2_presence_children_5_17-0.000037
coef_cars34_asc_county0.000005
coef_cars34_asc_san_francisco0.000055
coef_cars34_density_0_10_no_workers0.000004
coef_cars34_density_10_up_no_workers0.000024
coef_cars34_persons_16_17-0.000129
coef_cars34_persons_18_240.000166
coef_cars34_persons_25_34-0.000067
coef_cars34_presence_children_5_17-0.000139
coef_cars3_asc0.000107
coef_cars3_auto_time_saving_per_worker-0.000071
coef_cars3_drivers_20.000149
coef_cars3_drivers_30.000024
coef_cars3_drivers_4_up-0.000038
coef_cars3_hh_income_0_25k0.000005
coef_cars3_hh_income_25_500.000096
coef_cars3_hh_income_50_750.000072
coef_cars3_hh_income_75_up0.000185
coef_cars3_num_workers_clip_3-0.000169
coef_cars4_asc-0.000103
coef_cars4_auto_time_saving_per_worker-0.000058
coef_cars4_drivers_2-0.000040
coef_cars4_drivers_30.000093
coef_cars4_drivers_4_up-0.000046
coef_cars4_hh_income_0_25k-0.000523
coef_cars4_hh_income_25_50-0.000691
coef_cars4_hh_income_50_75-0.000513
coef_cars4_hh_income_75_up-0.001026
coef_cars4_num_workers_clip_3-0.000170
coef_retail_auto_no_workers0.000014
coef_retail_auto_workers0.000098
coef_retail_non_motor0.000000
coef_retail_transit_no_workers0.000133
coef_retail_transit_workers-0.000083
nit77
nfev102
njev77
status0
message'Optimization terminated successfully'
successTrue
elapsed_time0:00:01.723675
method'slsqp'
n_cases20000
iteration_number77
loglike-18480.69200834759
" + ], + "text/plain": [ + "┣ x: coef_cars1_asc 1.451930\n", + "┃ coef_cars1_asc_county -0.669928\n", + "┃ coef_cars1_asc_marin -0.170886\n", + "┃ coef_cars1_asc_san_francisco 0.317228\n", + "┃ coef_cars1_auto_time_saving_per_worker 0.380289\n", + "┃ ... \n", + "┃ coef_retail_auto_no_workers 0.027853\n", + "┃ coef_retail_auto_workers 0.143032\n", + "┃ coef_retail_non_motor -0.030000\n", + "┃ coef_retail_transit_no_workers -0.307531\n", + "┃ coef_retail_transit_workers -0.522486\n", + "┃ Length: 74, dtype: float64\n", + "┣ logloss: 0.9240346004173794\n", + "┣ d_logloss: coef_cars1_asc 0.000104\n", + "┃ coef_cars1_asc_county -0.000032\n", + "┃ coef_cars1_asc_marin -0.000051\n", + "┃ coef_cars1_asc_san_francisco -0.000097\n", + "┃ coef_cars1_auto_time_saving_per_worker 0.000056\n", + "┃ ... \n", + "┃ coef_retail_auto_no_workers 0.000014\n", + "┃ coef_retail_auto_workers 0.000098\n", + "┃ coef_retail_non_motor 0.000000\n", + "┃ coef_retail_transit_no_workers 0.000133\n", + "┃ coef_retail_transit_workers -0.000083\n", + "┃ Length: 74, dtype: float64\n", + "┣ nit: 77\n", + "┣ nfev: 102\n", + "┣ njev: 77\n", + "┣ status: 0\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ success: True\n", + "┣ elapsed_time: datetime.timedelta(seconds=1, microseconds=723675)\n", + "┣ method: 'slsqp'\n", + "┣ n_cases: 20000\n", + "┣ iteration_number: 77\n", + "┣ loglike: -18480.69200834759" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model2.estimate(maxiter=200)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can easily review the parameter estimates from the original and\n", + "revised models side by side to see what changed." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmodel2
ValueStd Errt StatSignifNull ValueConstrainedValueStd Errt StatSignifNull ValueConstrained
Parameter
coef_cars1_asc1.340.9411.420.01.450.9461.540.0
coef_cars1_asc_county-0.6560.158-4.14***0.0-0.6700.159-4.22***0.0
coef_cars1_asc_marin-0.1680.106-1.580.0-0.1710.106-1.610.0
coef_cars1_asc_san_francisco0.3250.09793.31***0.00.3170.09823.23**0.0
coef_cars1_auto_time_saving_per_worker0.3940.1882.10*0.00.3800.1892.01*0.0
coef_cars1_density_0_10_no_workers0.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_density_10_up_no_workers-0.01450.00339-4.27***0.0-0.01430.00339-4.21***0.0
coef_cars1_density_10_up_workers-0.01830.00271-6.75***0.0-0.01840.00271-6.80***0.0
coef_cars1_drivers_20.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_drivers_30.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_drivers_4_up2.010.3176.35***0.01.990.3186.27***0.0
coef_cars1_hh_income_0_30k0.04560.0029815.29***0.0
coef_cars1_hh_income_30_up0.000.00NA0.0fixed value
coef_cars1_num_workers_clip_30.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_persons_16_170.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_persons_18_24-0.4760.0586-8.11***0.0-0.4730.0586-8.07***0.0
coef_cars1_persons_25_340.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars1_presence_children_0_40.4870.1303.75***0.00.4940.1303.80***0.0
coef_cars1_presence_children_5_170.03900.09340.420.00.04420.09350.470.0
coef_cars234_asc_marin0.000.00NA0.0fixed value0.000.00NA0.0fixed value
coef_cars234_presence_children_0_40.8340.1376.10***0.00.8400.1376.13***0.0
coef_cars2_asc-0.8170.944-0.870.0-0.7520.949-0.790.0
coef_cars2_asc_county-0.5340.166-3.22**0.0-0.5530.166-3.33***0.0
coef_cars2_asc_san_francisco0.3950.1233.22**0.00.3940.1233.20**0.0
coef_cars2_auto_time_saving_per_worker0.6260.1973.18**0.00.6080.1983.07**0.0
coef_cars2_density_0_10_no_workers-0.1890.0118-16.03***0.0-0.1910.0118-16.16***0.0
coef_cars2_density_10_up_no_workers-0.1190.0117-10.12***0.0-0.1190.0117-10.13***0.0
coef_cars2_drivers_22.880.060247.87***0.02.880.060347.83***0.0
coef_cars2_drivers_33.460.097135.68***0.03.460.097135.66***0.0
coef_cars2_drivers_4_up6.180.33218.61***0.06.180.33318.53***0.0
coef_cars2_hh_income_0_30k0.05570.0041913.31***0.0
coef_cars2_hh_income_30_up0.007090.0007829.07***0.0
coef_cars2_num_workers_clip_30.3170.04207.55***0.00.3170.04207.54***0.0
coef_cars2_persons_16_17-0.8450.0976-8.66***0.0-0.8520.0977-8.72***0.0
coef_cars2_persons_18_24-0.9900.0659-15.04***0.0-0.9890.0659-15.01***0.0
coef_cars2_persons_25_34-0.3790.0322-11.77***0.0-0.3750.0322-11.64***0.0
coef_cars2_presence_children_5_170.3270.1043.16**0.00.3340.1043.21**0.0
coef_cars34_asc_county-0.2610.173-1.500.0-0.2720.174-1.570.0
coef_cars34_asc_san_francisco0.05590.1610.350.00.04260.1610.260.0
coef_cars34_density_0_10_no_workers-0.3430.0182-18.81***0.0-0.3430.0182-18.84***0.0
coef_cars34_density_10_up_no_workers-0.2550.0544-4.69***0.0-0.2540.0542-4.70***0.0
coef_cars34_persons_16_17-1.820.113-16.13***0.0-1.830.113-16.23***0.0
coef_cars34_persons_18_24-1.010.0695-14.60***0.0-1.020.0696-14.60***0.0
coef_cars34_persons_25_34-0.7450.0402-18.56***0.0-0.7410.0402-18.44***0.0
coef_cars34_presence_children_5_170.5420.1124.83***0.00.5450.1124.86***0.0
coef_cars3_asc-3.430.962-3.56***0.0-3.500.972-3.60***0.0
coef_cars3_auto_time_saving_per_worker0.5380.2152.50*0.00.5280.2162.45*0.0
coef_cars3_drivers_23.330.15121.99***0.03.340.15221.93***0.0
coef_cars3_drivers_35.700.17033.48***0.05.710.17133.40***0.0
coef_cars3_drivers_4_up8.640.36423.72***0.08.650.36623.64***0.0
coef_cars3_hh_income_0_30k0.06440.006689.65***0.0
coef_cars3_hh_income_30_up0.009130.001038.88***0.0
coef_cars3_num_workers_clip_30.6500.051912.53***0.00.6520.051912.55***0.0
coef_cars4_asc-5.531.02-5.42***0.0-5.631.04-5.40***0.0
coef_cars4_auto_time_saving_per_worker0.8340.2493.35***0.00.8260.2503.30***0.0
coef_cars4_drivers_22.650.2879.23***0.02.640.2839.30***0.0
coef_cars4_drivers_35.330.29717.95***0.05.300.29318.07***0.0
coef_cars4_drivers_4_up9.420.43621.59***0.09.400.43521.61***0.0
coef_cars4_hh_income_0_30k0.07180.01116.46***0.0
coef_cars4_hh_income_30_up0.01320.0013210.00***0.0
coef_cars4_num_workers_clip_30.9490.064614.69***0.00.9580.064614.82***0.0
coef_retail_auto_no_workers0.03980.1010.390.00.02790.1020.270.0
coef_retail_auto_workers0.1560.1021.520.00.1430.1031.390.0
coef_retail_non_motor-0.03000.00NA0.0fixed value-0.03000.00NA0.0fixed value
coef_retail_transit_no_workers-0.3080.0295-10.44***0.0-0.3080.0295-10.42***0.0
coef_retail_transit_workers-0.5250.0396-13.24***0.0-0.5220.0397-13.15***0.0
coef_cars1_hh_income_0_25k0.04710.0043610.81***0.0
coef_cars1_hh_income_25_500.006620.005371.230.0
coef_cars1_hh_income_50_750.007920.006661.190.0
coef_cars1_hh_income_75_up-0.002330.00246-0.950.0
coef_cars2_hh_income_0_25k0.06300.0060710.37***0.0
coef_cars2_hh_income_25_500.007700.006081.270.0
coef_cars2_hh_income_50_750.01920.007142.68**0.0
coef_cars2_hh_income_75_up0.002680.002591.030.0
coef_cars3_hh_income_0_25k0.08150.01018.05***0.0
coef_cars3_hh_income_25_500.001620.007460.220.0
coef_cars3_hh_income_50_750.02680.007933.38***0.0
coef_cars3_hh_income_75_up0.003810.002751.390.0
coef_cars4_hh_income_0_25k0.09510.01755.45***0.0
coef_cars4_hh_income_25_500.002760.009820.280.0
coef_cars4_hh_income_50_750.02740.009073.02**0.0
coef_cars4_hh_income_75_up0.008110.002922.78**0.0
\n", + "
" + ], "text/plain": [ - "" + " model \\\n", + " Value Std Err t Stat Signif \n", + "Parameter \n", + "coef_cars1_asc  1.34  0.941  1.42 \n", + "coef_cars1_asc_county -0.656  0.158 -4.14 *** \n", + "coef_cars1_asc_marin -0.168  0.106 -1.58 \n", + "coef_cars1_asc_san_francisco  0.325  0.0979  3.31 *** \n", + "coef_cars1_auto_time_saving_per_worker  0.394  0.188  2.10 * \n", + "coef_cars1_density_0_10_no_workers  0.00  0.00  NA \n", + "coef_cars1_density_10_up_no_workers -0.0145  0.00339 -4.27 *** \n", + "coef_cars1_density_10_up_workers -0.0183  0.00271 -6.75 *** \n", + "coef_cars1_drivers_2  0.00  0.00  NA \n", + "coef_cars1_drivers_3  0.00  0.00  NA \n", + "coef_cars1_drivers_4_up  2.01  0.317  6.35 *** \n", + "coef_cars1_hh_income_0_30k  0.0456  0.00298  15.29 *** \n", + "coef_cars1_hh_income_30_up  0.00  0.00  NA \n", + "coef_cars1_num_workers_clip_3  0.00  0.00  NA \n", + "coef_cars1_persons_16_17  0.00  0.00  NA \n", + "coef_cars1_persons_18_24 -0.476  0.0586 -8.11 *** \n", + "coef_cars1_persons_25_34  0.00  0.00  NA \n", + "coef_cars1_presence_children_0_4  0.487  0.130  3.75 *** \n", + "coef_cars1_presence_children_5_17  0.0390  0.0934  0.42 \n", + "coef_cars234_asc_marin  0.00  0.00  NA \n", + "coef_cars234_presence_children_0_4  0.834  0.137  6.10 *** \n", + "coef_cars2_asc -0.817  0.944 -0.87 \n", + "coef_cars2_asc_county -0.534  0.166 -3.22 ** \n", + "coef_cars2_asc_san_francisco  0.395  0.123  3.22 ** \n", + "coef_cars2_auto_time_saving_per_worker  0.626  0.197  3.18 ** \n", + "coef_cars2_density_0_10_no_workers -0.189  0.0118 -16.03 *** \n", + "coef_cars2_density_10_up_no_workers -0.119  0.0117 -10.12 *** \n", + "coef_cars2_drivers_2  2.88  0.0602  47.87 *** \n", + "coef_cars2_drivers_3  3.46  0.0971  35.68 *** \n", + "coef_cars2_drivers_4_up  6.18  0.332  18.61 *** \n", + "coef_cars2_hh_income_0_30k  0.0557  0.00419  13.31 *** \n", + "coef_cars2_hh_income_30_up  0.00709  0.000782  9.07 *** \n", + "coef_cars2_num_workers_clip_3  0.317  0.0420  7.55 *** \n", + "coef_cars2_persons_16_17 -0.845  0.0976 -8.66 *** \n", + "coef_cars2_persons_18_24 -0.990  0.0659 -15.04 *** \n", + "coef_cars2_persons_25_34 -0.379  0.0322 -11.77 *** \n", + "coef_cars2_presence_children_5_17  0.327  0.104  3.16 ** \n", + "coef_cars34_asc_county -0.261  0.173 -1.50 \n", + "coef_cars34_asc_san_francisco  0.0559  0.161  0.35 \n", + "coef_cars34_density_0_10_no_workers -0.343  0.0182 -18.81 *** \n", + "coef_cars34_density_10_up_no_workers -0.255  0.0544 -4.69 *** \n", + "coef_cars34_persons_16_17 -1.82  0.113 -16.13 *** \n", + "coef_cars34_persons_18_24 -1.01  0.0695 -14.60 *** \n", + "coef_cars34_persons_25_34 -0.745  0.0402 -18.56 *** \n", + "coef_cars34_presence_children_5_17  0.542  0.112  4.83 *** \n", + "coef_cars3_asc -3.43  0.962 -3.56 *** \n", + "coef_cars3_auto_time_saving_per_worker  0.538  0.215  2.50 * \n", + "coef_cars3_drivers_2  3.33  0.151  21.99 *** \n", + "coef_cars3_drivers_3  5.70  0.170  33.48 *** \n", + "coef_cars3_drivers_4_up  8.64  0.364  23.72 *** \n", + "coef_cars3_hh_income_0_30k  0.0644  0.00668  9.65 *** \n", + "coef_cars3_hh_income_30_up  0.00913  0.00103  8.88 *** \n", + "coef_cars3_num_workers_clip_3  0.650  0.0519  12.53 *** \n", + "coef_cars4_asc -5.53  1.02 -5.42 *** \n", + "coef_cars4_auto_time_saving_per_worker  0.834  0.249  3.35 *** \n", + "coef_cars4_drivers_2  2.65  0.287  9.23 *** \n", + "coef_cars4_drivers_3  5.33  0.297  17.95 *** \n", + "coef_cars4_drivers_4_up  9.42  0.436  21.59 *** \n", + "coef_cars4_hh_income_0_30k  0.0718  0.0111  6.46 *** \n", + "coef_cars4_hh_income_30_up  0.0132  0.00132  10.00 *** \n", + "coef_cars4_num_workers_clip_3  0.949  0.0646  14.69 *** \n", + "coef_retail_auto_no_workers  0.0398  0.101  0.39 \n", + "coef_retail_auto_workers  0.156  0.102  1.52 \n", + "coef_retail_non_motor -0.0300  0.00  NA \n", + "coef_retail_transit_no_workers -0.308  0.0295 -10.44 *** \n", + "coef_retail_transit_workers -0.525  0.0396 -13.24 *** \n", + "coef_cars1_hh_income_0_25k \n", + "coef_cars1_hh_income_25_50 \n", + "coef_cars1_hh_income_50_75 \n", + "coef_cars1_hh_income_75_up \n", + "coef_cars2_hh_income_0_25k \n", + "coef_cars2_hh_income_25_50 \n", + "coef_cars2_hh_income_50_75 \n", + "coef_cars2_hh_income_75_up \n", + "coef_cars3_hh_income_0_25k \n", + "coef_cars3_hh_income_25_50 \n", + "coef_cars3_hh_income_50_75 \n", + "coef_cars3_hh_income_75_up \n", + "coef_cars4_hh_income_0_25k \n", + "coef_cars4_hh_income_25_50 \n", + "coef_cars4_hh_income_50_75 \n", + "coef_cars4_hh_income_75_up \n", + "\n", + " model2 \\\n", + " Null Value Constrained Value \n", + "Parameter \n", + "coef_cars1_asc 0.0  1.45 \n", + "coef_cars1_asc_county 0.0 -0.670 \n", + "coef_cars1_asc_marin 0.0 -0.171 \n", + "coef_cars1_asc_san_francisco 0.0  0.317 \n", + "coef_cars1_auto_time_saving_per_worker 0.0  0.380 \n", + "coef_cars1_density_0_10_no_workers 0.0 fixed value  0.00 \n", + "coef_cars1_density_10_up_no_workers 0.0 -0.0143 \n", + "coef_cars1_density_10_up_workers 0.0 -0.0184 \n", + "coef_cars1_drivers_2 0.0 fixed value  0.00 \n", + "coef_cars1_drivers_3 0.0 fixed value  0.00 \n", + "coef_cars1_drivers_4_up 0.0  1.99 \n", + "coef_cars1_hh_income_0_30k 0.0 \n", + "coef_cars1_hh_income_30_up 0.0 fixed value \n", + "coef_cars1_num_workers_clip_3 0.0 fixed value  0.00 \n", + "coef_cars1_persons_16_17 0.0 fixed value  0.00 \n", + "coef_cars1_persons_18_24 0.0 -0.473 \n", + "coef_cars1_persons_25_34 0.0 fixed value  0.00 \n", + "coef_cars1_presence_children_0_4 0.0  0.494 \n", + "coef_cars1_presence_children_5_17 0.0  0.0442 \n", + "coef_cars234_asc_marin 0.0 fixed value  0.00 \n", + "coef_cars234_presence_children_0_4 0.0  0.840 \n", + "coef_cars2_asc 0.0 -0.752 \n", + "coef_cars2_asc_county 0.0 -0.553 \n", + "coef_cars2_asc_san_francisco 0.0  0.394 \n", + "coef_cars2_auto_time_saving_per_worker 0.0  0.608 \n", + "coef_cars2_density_0_10_no_workers 0.0 -0.191 \n", + "coef_cars2_density_10_up_no_workers 0.0 -0.119 \n", + "coef_cars2_drivers_2 0.0  2.88 \n", + "coef_cars2_drivers_3 0.0  3.46 \n", + "coef_cars2_drivers_4_up 0.0  6.18 \n", + "coef_cars2_hh_income_0_30k 0.0 \n", + "coef_cars2_hh_income_30_up 0.0 \n", + "coef_cars2_num_workers_clip_3 0.0  0.317 \n", + "coef_cars2_persons_16_17 0.0 -0.852 \n", + "coef_cars2_persons_18_24 0.0 -0.989 \n", + "coef_cars2_persons_25_34 0.0 -0.375 \n", + "coef_cars2_presence_children_5_17 0.0  0.334 \n", + "coef_cars34_asc_county 0.0 -0.272 \n", + "coef_cars34_asc_san_francisco 0.0  0.0426 \n", + "coef_cars34_density_0_10_no_workers 0.0 -0.343 \n", + "coef_cars34_density_10_up_no_workers 0.0 -0.254 \n", + "coef_cars34_persons_16_17 0.0 -1.83 \n", + "coef_cars34_persons_18_24 0.0 -1.02 \n", + "coef_cars34_persons_25_34 0.0 -0.741 \n", + "coef_cars34_presence_children_5_17 0.0  0.545 \n", + "coef_cars3_asc 0.0 -3.50 \n", + "coef_cars3_auto_time_saving_per_worker 0.0  0.528 \n", + "coef_cars3_drivers_2 0.0  3.34 \n", + "coef_cars3_drivers_3 0.0  5.71 \n", + "coef_cars3_drivers_4_up 0.0  8.65 \n", + "coef_cars3_hh_income_0_30k 0.0 \n", + "coef_cars3_hh_income_30_up 0.0 \n", + "coef_cars3_num_workers_clip_3 0.0  0.652 \n", + "coef_cars4_asc 0.0 -5.63 \n", + "coef_cars4_auto_time_saving_per_worker 0.0  0.826 \n", + "coef_cars4_drivers_2 0.0  2.64 \n", + "coef_cars4_drivers_3 0.0  5.30 \n", + "coef_cars4_drivers_4_up 0.0  9.40 \n", + "coef_cars4_hh_income_0_30k 0.0 \n", + "coef_cars4_hh_income_30_up 0.0 \n", + "coef_cars4_num_workers_clip_3 0.0  0.958 \n", + "coef_retail_auto_no_workers 0.0  0.0279 \n", + "coef_retail_auto_workers 0.0  0.143 \n", + "coef_retail_non_motor 0.0 fixed value -0.0300 \n", + "coef_retail_transit_no_workers 0.0 -0.308 \n", + "coef_retail_transit_workers 0.0 -0.522 \n", + "coef_cars1_hh_income_0_25k  0.0471 \n", + "coef_cars1_hh_income_25_50  0.00662 \n", + "coef_cars1_hh_income_50_75  0.00792 \n", + "coef_cars1_hh_income_75_up -0.00233 \n", + "coef_cars2_hh_income_0_25k  0.0630 \n", + "coef_cars2_hh_income_25_50  0.00770 \n", + "coef_cars2_hh_income_50_75  0.0192 \n", + "coef_cars2_hh_income_75_up  0.00268 \n", + "coef_cars3_hh_income_0_25k  0.0815 \n", + "coef_cars3_hh_income_25_50  0.00162 \n", + "coef_cars3_hh_income_50_75  0.0268 \n", + "coef_cars3_hh_income_75_up  0.00381 \n", + "coef_cars4_hh_income_0_25k  0.0951 \n", + "coef_cars4_hh_income_25_50  0.00276 \n", + "coef_cars4_hh_income_50_75  0.0274 \n", + "coef_cars4_hh_income_75_up  0.00811 \n", + "\n", + " \\\n", + " Std Err t Stat Signif Null Value \n", + "Parameter \n", + "coef_cars1_asc  0.946  1.54 0.0 \n", + "coef_cars1_asc_county  0.159 -4.22 *** 0.0 \n", + "coef_cars1_asc_marin  0.106 -1.61 0.0 \n", + "coef_cars1_asc_san_francisco  0.0982  3.23 ** 0.0 \n", + "coef_cars1_auto_time_saving_per_worker  0.189  2.01 * 0.0 \n", + "coef_cars1_density_0_10_no_workers  0.00  NA 0.0 \n", + "coef_cars1_density_10_up_no_workers  0.00339 -4.21 *** 0.0 \n", + "coef_cars1_density_10_up_workers  0.00271 -6.80 *** 0.0 \n", + "coef_cars1_drivers_2  0.00  NA 0.0 \n", + "coef_cars1_drivers_3  0.00  NA 0.0 \n", + "coef_cars1_drivers_4_up  0.318  6.27 *** 0.0 \n", + "coef_cars1_hh_income_0_30k \n", + "coef_cars1_hh_income_30_up \n", + "coef_cars1_num_workers_clip_3  0.00  NA 0.0 \n", + "coef_cars1_persons_16_17  0.00  NA 0.0 \n", + "coef_cars1_persons_18_24  0.0586 -8.07 *** 0.0 \n", + "coef_cars1_persons_25_34  0.00  NA 0.0 \n", + "coef_cars1_presence_children_0_4  0.130  3.80 *** 0.0 \n", + "coef_cars1_presence_children_5_17  0.0935  0.47 0.0 \n", + "coef_cars234_asc_marin  0.00  NA 0.0 \n", + "coef_cars234_presence_children_0_4  0.137  6.13 *** 0.0 \n", + "coef_cars2_asc  0.949 -0.79 0.0 \n", + "coef_cars2_asc_county  0.166 -3.33 *** 0.0 \n", + "coef_cars2_asc_san_francisco  0.123  3.20 ** 0.0 \n", + "coef_cars2_auto_time_saving_per_worker  0.198  3.07 ** 0.0 \n", + "coef_cars2_density_0_10_no_workers  0.0118 -16.16 *** 0.0 \n", + "coef_cars2_density_10_up_no_workers  0.0117 -10.13 *** 0.0 \n", + "coef_cars2_drivers_2  0.0603  47.83 *** 0.0 \n", + "coef_cars2_drivers_3  0.0971  35.66 *** 0.0 \n", + "coef_cars2_drivers_4_up  0.333  18.53 *** 0.0 \n", + "coef_cars2_hh_income_0_30k \n", + "coef_cars2_hh_income_30_up \n", + "coef_cars2_num_workers_clip_3  0.0420  7.54 *** 0.0 \n", + "coef_cars2_persons_16_17  0.0977 -8.72 *** 0.0 \n", + "coef_cars2_persons_18_24  0.0659 -15.01 *** 0.0 \n", + "coef_cars2_persons_25_34  0.0322 -11.64 *** 0.0 \n", + "coef_cars2_presence_children_5_17  0.104  3.21 ** 0.0 \n", + "coef_cars34_asc_county  0.174 -1.57 0.0 \n", + "coef_cars34_asc_san_francisco  0.161  0.26 0.0 \n", + "coef_cars34_density_0_10_no_workers  0.0182 -18.84 *** 0.0 \n", + "coef_cars34_density_10_up_no_workers  0.0542 -4.70 *** 0.0 \n", + "coef_cars34_persons_16_17  0.113 -16.23 *** 0.0 \n", + "coef_cars34_persons_18_24  0.0696 -14.60 *** 0.0 \n", + "coef_cars34_persons_25_34  0.0402 -18.44 *** 0.0 \n", + "coef_cars34_presence_children_5_17  0.112  4.86 *** 0.0 \n", + "coef_cars3_asc  0.972 -3.60 *** 0.0 \n", + "coef_cars3_auto_time_saving_per_worker  0.216  2.45 * 0.0 \n", + "coef_cars3_drivers_2  0.152  21.93 *** 0.0 \n", + "coef_cars3_drivers_3  0.171  33.40 *** 0.0 \n", + "coef_cars3_drivers_4_up  0.366  23.64 *** 0.0 \n", + "coef_cars3_hh_income_0_30k \n", + "coef_cars3_hh_income_30_up \n", + "coef_cars3_num_workers_clip_3  0.0519  12.55 *** 0.0 \n", + "coef_cars4_asc  1.04 -5.40 *** 0.0 \n", + "coef_cars4_auto_time_saving_per_worker  0.250  3.30 *** 0.0 \n", + "coef_cars4_drivers_2  0.283  9.30 *** 0.0 \n", + "coef_cars4_drivers_3  0.293  18.07 *** 0.0 \n", + "coef_cars4_drivers_4_up  0.435  21.61 *** 0.0 \n", + "coef_cars4_hh_income_0_30k \n", + "coef_cars4_hh_income_30_up \n", + "coef_cars4_num_workers_clip_3  0.0646  14.82 *** 0.0 \n", + "coef_retail_auto_no_workers  0.102  0.27 0.0 \n", + "coef_retail_auto_workers  0.103  1.39 0.0 \n", + "coef_retail_non_motor  0.00  NA 0.0 \n", + "coef_retail_transit_no_workers  0.0295 -10.42 *** 0.0 \n", + "coef_retail_transit_workers  0.0397 -13.15 *** 0.0 \n", + "coef_cars1_hh_income_0_25k  0.00436  10.81 *** 0.0 \n", + "coef_cars1_hh_income_25_50  0.00537  1.23 0.0 \n", + "coef_cars1_hh_income_50_75  0.00666  1.19 0.0 \n", + "coef_cars1_hh_income_75_up  0.00246 -0.95 0.0 \n", + "coef_cars2_hh_income_0_25k  0.00607  10.37 *** 0.0 \n", + "coef_cars2_hh_income_25_50  0.00608  1.27 0.0 \n", + "coef_cars2_hh_income_50_75  0.00714  2.68 ** 0.0 \n", + "coef_cars2_hh_income_75_up  0.00259  1.03 0.0 \n", + "coef_cars3_hh_income_0_25k  0.0101  8.05 *** 0.0 \n", + "coef_cars3_hh_income_25_50  0.00746  0.22 0.0 \n", + "coef_cars3_hh_income_50_75  0.00793  3.38 *** 0.0 \n", + "coef_cars3_hh_income_75_up  0.00275  1.39 0.0 \n", + "coef_cars4_hh_income_0_25k  0.0175  5.45 *** 0.0 \n", + "coef_cars4_hh_income_25_50  0.00982  0.28 0.0 \n", + "coef_cars4_hh_income_50_75  0.00907  3.02 ** 0.0 \n", + "coef_cars4_hh_income_75_up  0.00292  2.78 ** 0.0 \n", + "\n", + " \n", + " Constrained \n", + "Parameter \n", + "coef_cars1_asc \n", + "coef_cars1_asc_county \n", + "coef_cars1_asc_marin \n", + "coef_cars1_asc_san_francisco \n", + "coef_cars1_auto_time_saving_per_worker \n", + "coef_cars1_density_0_10_no_workers fixed value \n", + "coef_cars1_density_10_up_no_workers \n", + "coef_cars1_density_10_up_workers \n", + "coef_cars1_drivers_2 fixed value \n", + "coef_cars1_drivers_3 fixed value \n", + "coef_cars1_drivers_4_up \n", + "coef_cars1_hh_income_0_30k \n", + "coef_cars1_hh_income_30_up \n", + "coef_cars1_num_workers_clip_3 fixed value \n", + "coef_cars1_persons_16_17 fixed value \n", + "coef_cars1_persons_18_24 \n", + "coef_cars1_persons_25_34 fixed value \n", + "coef_cars1_presence_children_0_4 \n", + "coef_cars1_presence_children_5_17 \n", + "coef_cars234_asc_marin fixed value \n", + "coef_cars234_presence_children_0_4 \n", + "coef_cars2_asc \n", + "coef_cars2_asc_county \n", + "coef_cars2_asc_san_francisco \n", + "coef_cars2_auto_time_saving_per_worker \n", + "coef_cars2_density_0_10_no_workers \n", + "coef_cars2_density_10_up_no_workers \n", + "coef_cars2_drivers_2 \n", + "coef_cars2_drivers_3 \n", + "coef_cars2_drivers_4_up \n", + "coef_cars2_hh_income_0_30k \n", + "coef_cars2_hh_income_30_up \n", + "coef_cars2_num_workers_clip_3 \n", + "coef_cars2_persons_16_17 \n", + "coef_cars2_persons_18_24 \n", + "coef_cars2_persons_25_34 \n", + "coef_cars2_presence_children_5_17 \n", + "coef_cars34_asc_county \n", + "coef_cars34_asc_san_francisco \n", + "coef_cars34_density_0_10_no_workers \n", + "coef_cars34_density_10_up_no_workers \n", + "coef_cars34_persons_16_17 \n", + "coef_cars34_persons_18_24 \n", + "coef_cars34_persons_25_34 \n", + "coef_cars34_presence_children_5_17 \n", + "coef_cars3_asc \n", + "coef_cars3_auto_time_saving_per_worker \n", + "coef_cars3_drivers_2 \n", + "coef_cars3_drivers_3 \n", + "coef_cars3_drivers_4_up \n", + "coef_cars3_hh_income_0_30k \n", + "coef_cars3_hh_income_30_up \n", + "coef_cars3_num_workers_clip_3 \n", + "coef_cars4_asc \n", + "coef_cars4_auto_time_saving_per_worker \n", + "coef_cars4_drivers_2 \n", + "coef_cars4_drivers_3 \n", + "coef_cars4_drivers_4_up \n", + "coef_cars4_hh_income_0_30k \n", + "coef_cars4_hh_income_30_up \n", + "coef_cars4_num_workers_clip_3 \n", + "coef_retail_auto_no_workers \n", + "coef_retail_auto_workers \n", + "coef_retail_non_motor fixed value \n", + "coef_retail_transit_no_workers \n", + "coef_retail_transit_workers \n", + "coef_cars1_hh_income_0_25k \n", + "coef_cars1_hh_income_25_50 \n", + "coef_cars1_hh_income_50_75 \n", + "coef_cars1_hh_income_75_up \n", + "coef_cars2_hh_income_0_25k \n", + "coef_cars2_hh_income_25_50 \n", + "coef_cars2_hh_income_50_75 \n", + "coef_cars2_hh_income_75_up \n", + "coef_cars3_hh_income_0_25k \n", + "coef_cars3_hh_income_25_50 \n", + "coef_cars3_hh_income_50_75 \n", + "coef_cars3_hh_income_75_up \n", + "coef_cars4_hh_income_0_25k \n", + "coef_cars4_hh_income_25_50 \n", + "coef_cars4_hh_income_50_75 \n", + "coef_cars4_hh_income_75_up " ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "model.to_xlsx(\n", - " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", - " data_statistics=False,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Next Steps\n", - "\n", - "The final step is to either manually or automatically copy the `*_coefficients_revised.csv` file to the configs folder, rename it to `*_coefficients.csv`, and run ActivitySim in simulation mode." + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.parameter_summary().data,\n", + " \"model2\": model2.parameter_summary().data,\n", + " }, axis=1).fillna(\"\"))" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -2652,107 +5819,70 @@ " \n", " \n", " \n", - " coefficient_name\n", - " value\n", - " constrain\n", + " \n", + " model\n", + " model2\n", " \n", " \n", " \n", " \n", - " 0\n", - " coef_cars1_drivers_2\n", - " 0.000000\n", - " T\n", - " \n", - " \n", - " 1\n", - " coef_cars1_drivers_3\n", - " 0.000000\n", - " T\n", - " \n", - " \n", - " 2\n", - " coef_cars1_persons_16_17\n", - " 0.000000\n", - " T\n", - " \n", - " \n", - " 3\n", - " coef_cars234_asc_marin\n", - " 0.000000\n", - " T\n", - " \n", - " \n", - " 4\n", - " coef_cars1_persons_25_34\n", - " 0.000000\n", - " T\n", - " \n", - " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", + " Number of Cases\n", + " Aggregate\n", + " 20000.000000\n", + " 20000.000000\n", " \n", " \n", - " 62\n", - " coef_cars4_drivers_3\n", - " 564.490158\n", - " F\n", + " Log Likelihood at Convergence\n", + " Aggregate\n", + " -18485.495027\n", + " -18480.692008\n", " \n", " \n", - " 63\n", - " coef_cars3_drivers_3\n", - " 5.048488\n", - " F\n", + " Per Case\n", + " -0.924275\n", + " -0.924035\n", " \n", " \n", - " 64\n", - " coef_cars2_drivers_4_up\n", - " 6.856405\n", - " F\n", + " Log Likelihood at Null Parameters\n", + " Aggregate\n", + " -32431.882743\n", + " -32431.882743\n", " \n", " \n", - " 65\n", - " coef_cars3_drivers_4_up\n", - " 8.317950\n", - " F\n", + " Per Case\n", + " -1.621594\n", + " -1.621594\n", " \n", " \n", - " 66\n", - " coef_cars4_drivers_4_up\n", - " 568.272514\n", - " F\n", + " Rho Squared w.r.t. Null Parameters\n", + " Aggregate\n", + " 0.430021\n", + " 0.430169\n", " \n", " \n", "\n", - "

67 rows × 3 columns

\n", "" ], "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_cars1_drivers_2 0.000000 T\n", - "1 coef_cars1_drivers_3 0.000000 T\n", - "2 coef_cars1_persons_16_17 0.000000 T\n", - "3 coef_cars234_asc_marin 0.000000 T\n", - "4 coef_cars1_persons_25_34 0.000000 T\n", - ".. ... ... ...\n", - "62 coef_cars4_drivers_3 564.490158 F\n", - "63 coef_cars3_drivers_3 5.048488 F\n", - "64 coef_cars2_drivers_4_up 6.856405 F\n", - "65 coef_cars3_drivers_4_up 8.317950 F\n", - "66 coef_cars4_drivers_4_up 568.272514 F\n", - "\n", - "[67 rows x 3 columns]" + " model model2\n", + "Number of Cases Aggregate 20000.000000 20000.000000\n", + "Log Likelihood at Convergence Aggregate -18485.495027 -18480.692008\n", + " Per Case -0.924275 -0.924035\n", + "Log Likelihood at Null Parameters Aggregate -32431.882743 -32431.882743\n", + " Per Case -1.621594 -1.621594\n", + "Rho Squared w.r.t. Null Parameters Aggregate 0.430021 0.430169" ] }, - "execution_count": 11, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "pd.read_csv(result_dir/f\"{modelname}_coefficients_revised.csv\")" + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.estimation_statistics_raw(),\n", + " \"model2\": model2.estimation_statistics_raw(),\n", + " }, axis=1).fillna(\"\"))" ] } ], @@ -2763,7 +5893,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -2777,7 +5907,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/05_free_parking.ipynb b/activitysim/examples/example_estimation/notebooks/05_free_parking.ipynb index fd0fe5714..464f32106 100644 --- a/activitysim/examples/example_estimation/notebooks/05_free_parking.ipynb +++ b/activitysim/examples/example_estimation/notebooks/05_free_parking.ipynb @@ -34,27 +34,75 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +116,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/free_parking/free_parking_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/free_parking/free_parking_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/free_parking/free_parking_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"free_parking\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -388,14 +451,14 @@ " util_hh_size_4_up\n", " util_more_autos_than_workers\n", " ...\n", - " COLLFTE\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " workplace_county_id\n", " override_choice_code\n", " \n", @@ -426,8 +489,8 @@ " \n", " \n", " \n", - " 72241\n", - " 72241\n", + " 72355\n", + " 72355\n", " False\n", " False\n", " 1.0\n", @@ -436,22 +499,22 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 4.58156\n", - " 68.092368\n", - " 151.674705\n", - " 46.994710\n", - " True\n", + " 9.915345\n", + " 12.430580\n", + " 6.550726\n", + " 9.119016\n", + " 6.446184\n", + " 9.035333\n", + " 5.256966\n", + " 6.831275\n", " 1\n", " 2\n", " \n", " \n", - " 72441\n", - " 72441\n", + " 72384\n", + " 72384\n", " False\n", " False\n", " 1.0\n", @@ -462,20 +525,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.28482\n", - " 28.491228\n", - " 4.052632\n", - " 3.547964\n", - " False\n", + " 9.971763\n", + " 12.488100\n", + " 6.384615\n", + " 8.910521\n", + " 6.292135\n", + " 8.845287\n", + " 5.447277\n", + " 7.062559\n", " 1\n", " 2\n", " \n", " \n", - " 72528\n", - " 72528\n", + " 72407\n", + " 72407\n", " False\n", " False\n", " 1.0\n", @@ -486,20 +549,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 6861.20508\n", - " 1174.96875\n", - " 1\n", - " 3.49553\n", - " 19.033424\n", - " 37.235052\n", - " 12.595161\n", - " False\n", + " 9.971763\n", + " 12.488100\n", + " 6.384615\n", + " 8.910521\n", + " 6.292135\n", + " 8.845287\n", + " 5.447277\n", + " 7.062559\n", " 1\n", " 2\n", " \n", " \n", - " 73144\n", - " 73144\n", + " 72459\n", + " 72459\n", " False\n", " False\n", " 1.0\n", @@ -510,20 +573,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.48345\n", - " 26.073171\n", - " 8.048780\n", - " 6.150212\n", - " False\n", + " 10.086939\n", + " 12.619691\n", + " 6.787018\n", + " 9.400117\n", + " 6.687820\n", + " 9.307625\n", + " 5.877288\n", + " 7.691985\n", " 1\n", " 2\n", " \n", " \n", - " 73493\n", - " 73493\n", + " 72529\n", + " 72529\n", " False\n", " False\n", " 1.0\n", @@ -534,14 +597,14 @@ " 0.0\n", " 0.0\n", " ...\n", - " 7144.64307\n", - " 22523.34570\n", - " 1\n", - " 3.20356\n", - " 13.672131\n", - " 39.852459\n", - " 10.179771\n", - " False\n", + " 10.263491\n", + " 12.913804\n", + " 6.830450\n", + " 9.558905\n", + " 6.611336\n", + " 9.308290\n", + " 6.696709\n", + " 8.925142\n", " 1\n", " 2\n", " \n", @@ -570,35 +633,35 @@ " ...\n", " \n", " \n", - " 2822879\n", - " 7514214\n", - " False\n", + " 2847736\n", + " 7539071\n", " False\n", - " 1.0\n", - " 0.0\n", + " True\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 1.08765\n", - " 0.415094\n", - " 3.578616\n", - " 0.371951\n", - " False\n", + " 9.875413\n", + " 12.586445\n", + " 4.800090\n", + " 8.088658\n", + " 4.581187\n", + " 7.858361\n", + " 5.697172\n", + " 9.212853\n", + " 4\n", " 1\n", - " 2\n", " \n", " \n", - " 2822949\n", - " 7514284\n", + " 2847868\n", + " 7539203\n", " False\n", " False\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -606,47 +669,47 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.86254\n", - " 33.841404\n", - " 40.299687\n", - " 18.394631\n", - " True\n", - " 1\n", + " 9.121001\n", + " 11.606573\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 1.324505\n", + " 4.959246\n", + " 5\n", " 2\n", " \n", " \n", - " 2823069\n", - " 7514404\n", - " False\n", - " False\n", - " 1.0\n", + " 2847882\n", + " 7539217\n", + " True\n", + " True\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.95752\n", - " 65.596535\n", - " 32.655666\n", - " 21.802041\n", - " True\n", + " 9.121001\n", + " 11.606573\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 1.324505\n", + " 4.959246\n", + " 4\n", " 1\n", - " 2\n", " \n", " \n", - " 2823442\n", - " 7514777\n", + " 2847935\n", + " 7539270\n", " False\n", " False\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -654,23 +717,23 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 2\n", - " 4.51942\n", - " 56.706023\n", - " 144.861886\n", - " 40.753220\n", - " True\n", - " 1\n", + " 9.653875\n", + " 12.007751\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 5.523983\n", + " 7.598532\n", + " 5\n", " 2\n", " \n", " \n", - " 2823850\n", - " 7515185\n", - " False\n", + " 2847982\n", + " 7539317\n", + " True\n", " False\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -678,108 +741,108 @@ " 0.0\n", " 0.0\n", " ...\n", - 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2582 rows × 116 columns

\n", + "

28281 rows × 116 columns

\n", "" ], "text/plain": [ " person_id model_choice override_choice \\\n", "household_id \n", - "72241 72241 False False \n", - "72441 72441 False False \n", - "72528 72528 False False \n", - "73144 73144 False False \n", - "73493 73493 False False \n", + "72355 72355 False False \n", + "72384 72384 False False \n", + "72407 72407 False False \n", + "72459 72459 False False \n", + "72529 72529 False False \n", "... ... ... ... \n", - "2822879 7514214 False False \n", - "2822949 7514284 False False \n", - "2823069 7514404 False False \n", - "2823442 7514777 False False \n", - "2823850 7515185 False False \n", + "2847736 7539071 False True \n", + "2847868 7539203 False False \n", + "2847882 7539217 True True \n", + "2847935 7539270 False False \n", + "2847982 7539317 True False \n", "\n", " util_asc_san_francisco util_asc_santa_clara util_asc_alameda \\\n", "household_id \n", - "72241 1.0 0.0 0.0 \n", - "72441 1.0 0.0 0.0 \n", - "72528 1.0 0.0 0.0 \n", - "73144 1.0 0.0 0.0 \n", - "73493 1.0 0.0 0.0 \n", + "72355 1.0 0.0 0.0 \n", + "72384 1.0 0.0 0.0 \n", + "72407 1.0 0.0 0.0 \n", + "72459 1.0 0.0 0.0 \n", + "72529 1.0 0.0 0.0 \n", "... ... ... ... \n", - "2822879 1.0 0.0 0.0 \n", - "2822949 1.0 0.0 0.0 \n", - "2823069 1.0 0.0 0.0 \n", - "2823442 1.0 0.0 0.0 \n", - "2823850 1.0 0.0 0.0 \n", + "2847736 0.0 0.0 1.0 \n", + "2847868 0.0 0.0 0.0 \n", + "2847882 0.0 0.0 1.0 \n", + "2847935 0.0 0.0 0.0 \n", + "2847982 0.0 0.0 0.0 \n", "\n", " util_income_very_high util_income_high util_hh_size_4_up \\\n", "household_id \n", - "72241 0.0 0.0 0.0 \n", - "72441 0.0 0.0 0.0 \n", - "72528 0.0 0.0 0.0 \n", - "73144 0.0 0.0 0.0 \n", - "73493 0.0 0.0 0.0 \n", + "72355 0.0 0.0 0.0 \n", + "72384 0.0 0.0 0.0 \n", + "72407 0.0 0.0 0.0 \n", + "72459 0.0 0.0 0.0 \n", + "72529 0.0 0.0 0.0 \n", "... ... ... ... \n", - "2822879 0.0 0.0 0.0 \n", - "2822949 0.0 0.0 0.0 \n", - "2823069 0.0 0.0 0.0 \n", - "2823442 0.0 0.0 0.0 \n", - "2823850 0.0 0.0 0.0 \n", + "2847736 0.0 0.0 0.0 \n", + "2847868 0.0 0.0 0.0 \n", + "2847882 0.0 0.0 0.0 \n", + "2847935 0.0 0.0 0.0 \n", + "2847982 0.0 0.0 0.0 \n", "\n", - " util_more_autos_than_workers ... COLLFTE COLLPTE \\\n", - "household_id ... \n", - "72241 0.0 ... 0.00000 0.00000 \n", - "72441 0.0 ... 0.00000 0.00000 \n", - "72528 0.0 ... 6861.20508 1174.96875 \n", - "73144 0.0 ... 0.00000 0.00000 \n", - "73493 0.0 ... 7144.64307 22523.34570 \n", - "... ... ... ... ... \n", - "2822879 0.0 ... 0.00000 0.00000 \n", - "2822949 0.0 ... 0.00000 0.00000 \n", - "2823069 0.0 ... 0.00000 0.00000 \n", - "2823442 0.0 ... 0.00000 0.00000 \n", - "2823850 0.0 ... 0.00000 0.00000 \n", + " util_more_autos_than_workers ... auOpRetail auOpTotal \\\n", + "household_id ... \n", + "72355 1.0 ... 9.915345 12.430580 \n", + "72384 0.0 ... 9.971763 12.488100 \n", + "72407 0.0 ... 9.971763 12.488100 \n", + "72459 0.0 ... 10.086939 12.619691 \n", + "72529 0.0 ... 10.263491 12.913804 \n", + "... ... ... ... ... \n", + "2847736 1.0 ... 9.875413 12.586445 \n", + "2847868 0.0 ... 9.121001 11.606573 \n", + "2847882 0.0 ... 9.121001 11.606573 \n", + "2847935 0.0 ... 9.653875 12.007751 \n", + "2847982 0.0 ... 6.494711 8.713819 \n", "\n", - " TOPOLOGY TERMINAL household_density employment_density \\\n", - "household_id \n", - "72241 1 4.58156 68.092368 151.674705 \n", - "72441 1 2.28482 28.491228 4.052632 \n", - "72528 1 3.49553 19.033424 37.235052 \n", - "73144 1 2.48345 26.073171 8.048780 \n", - "73493 1 3.20356 13.672131 39.852459 \n", - "... ... ... ... ... \n", - "2822879 1 1.08765 0.415094 3.578616 \n", - "2822949 1 3.86254 33.841404 40.299687 \n", - "2823069 1 3.95752 65.596535 32.655666 \n", - "2823442 2 4.51942 56.706023 144.861886 \n", - "2823850 3 2.46800 0.296858 36.296472 \n", + " trPkRetail trPkTotal trOpRetail trOpTotal nmRetail \\\n", + "household_id \n", + "72355 6.550726 9.119016 6.446184 9.035333 5.256966 \n", + "72384 6.384615 8.910521 6.292135 8.845287 5.447277 \n", + "72407 6.384615 8.910521 6.292135 8.845287 5.447277 \n", + "72459 6.787018 9.400117 6.687820 9.307625 5.877288 \n", + "72529 6.830450 9.558905 6.611336 9.308290 6.696709 \n", + "... ... ... ... ... ... \n", + "2847736 4.800090 8.088658 4.581187 7.858361 5.697172 \n", + "2847868 0.000000 0.000000 0.000000 0.000000 1.324505 \n", + "2847882 0.000000 0.000000 0.000000 0.000000 1.324505 \n", + "2847935 0.000000 0.000000 0.000000 0.000000 5.523983 \n", + "2847982 0.019735 0.222696 0.016077 0.153189 0.000000 \n", "\n", - " density_index is_cbd workplace_county_id override_choice_code \n", - "household_id \n", - "72241 46.994710 True 1 2 \n", - "72441 3.547964 False 1 2 \n", - "72528 12.595161 False 1 2 \n", - "73144 6.150212 False 1 2 \n", - "73493 10.179771 False 1 2 \n", - "... ... ... ... ... \n", - "2822879 0.371951 False 1 2 \n", - "2822949 18.394631 True 1 2 \n", - "2823069 21.802041 True 1 2 \n", - "2823442 40.753220 True 1 2 \n", - "2823850 0.294449 True 1 2 \n", + " nmTotal workplace_county_id override_choice_code \n", + "household_id \n", + "72355 6.831275 1 2 \n", + "72384 7.062559 1 2 \n", + "72407 7.062559 1 2 \n", + "72459 7.691985 1 2 \n", + "72529 8.925142 1 2 \n", + "... ... ... ... \n", + "2847736 9.212853 4 1 \n", + "2847868 4.959246 5 2 \n", + "2847882 4.959246 4 1 \n", + "2847935 7.598532 5 2 \n", + "2847982 0.000000 8 2 \n", "\n", - "[2582 rows x 116 columns]" + "[28281 rows x 116 columns]" ] }, "execution_count": 6, @@ -802,20 +865,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 010 [Optimization terminated successfully]

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Iteration 007 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -827,7 +883,7 @@ { "data": { "text/html": [ - "

Best LL = -484.0908426547178

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Best LL = -15941.804810325377

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coef_asc_san_francisco0.0003990.000074
coef_asc_santa_clara0.0000000.000008
coef_fewer_autos_than_workers0.0001830.000150
coef_hh_size_4_up0.000210-0.000075
coef_income_high0.0003640.000317
coef_income_very_high-0.000061-0.000092
coef_more_autos_than_workers0.0001070.000781
nit10nfev19njev10status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.810470method'slsqp'n_cases2582iteration_number10logloss0.1874867709739418" + "nit7nfev7njev7status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.092472method'slsqp'n_cases28281iteration_number7loglike-15941.804810325377" ], "text/plain": [ "┣ x: 0.0 0.000000\n", - "┃ coef_asc_alameda -0.109200\n", - "┃ coef_asc_san_francisco -2.456059\n", - "┃ coef_asc_santa_clara 0.211800\n", - "┃ coef_fewer_autos_than_workers -1.619489\n", - "┃ coef_hh_size_4_up 0.279145\n", - "┃ coef_income_high -0.053120\n", - "┃ coef_income_very_high 0.296661\n", - "┃ coef_more_autos_than_workers 0.223434\n", + "┃ coef_asc_alameda -0.141547\n", + "┃ coef_asc_san_francisco -2.630212\n", + "┃ coef_asc_santa_clara 0.188205\n", + "┃ coef_fewer_autos_than_workers -1.407827\n", + "┃ coef_hh_size_4_up 0.264779\n", + "┃ coef_income_high 0.217818\n", + "┃ coef_income_very_high 0.235389\n", + "┃ coef_more_autos_than_workers 0.225131\n", "┃ dtype: float64\n", - "┣ loglike: -484.0908426547178\n", - "┣ d_loglike: 0.0 0.000000\n", - "┃ coef_asc_alameda 0.000000\n", - "┃ coef_asc_san_francisco 0.000399\n", - "┃ coef_asc_santa_clara 0.000000\n", - "┃ coef_fewer_autos_than_workers 0.000183\n", - "┃ coef_hh_size_4_up 0.000210\n", - "┃ coef_income_high 0.000364\n", - "┃ coef_income_very_high -0.000061\n", - "┃ coef_more_autos_than_workers 0.000107\n", + "┣ logloss: 0.5636931088124669\n", + "┣ d_logloss: 0.0 0.000000\n", + "┃ coef_asc_alameda 0.000061\n", + "┃ coef_asc_san_francisco 0.000074\n", + "┃ coef_asc_santa_clara 0.000008\n", + "┃ coef_fewer_autos_than_workers 0.000150\n", + "┃ coef_hh_size_4_up -0.000075\n", + "┃ coef_income_high 0.000317\n", + "┃ coef_income_very_high -0.000092\n", + "┃ coef_more_autos_than_workers 0.000781\n", "┃ dtype: float64\n", - "┣ nit: 10\n", - "┣ nfev: 19\n", - "┣ njev: 10\n", + "┣ nit: 7\n", + "┣ nfev: 7\n", + "┣ njev: 7\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(microseconds=810470)\n", + "┣ elapsed_time: datetime.timedelta(microseconds=92472)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 2582\n", - "┣ iteration_number: 10\n", - "┣ logloss: 0.1874867709739418" + "┣ n_cases: 28281\n", + "┣ iteration_number: 7\n", + "┣ loglike: -15941.804810325377" ] }, - "execution_count": 9, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1154,119 +1204,136 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Value Std Err t Stat Signif Like Ratio Null Value Constrained
0.0 0.00 NA NA NA 0.00fixed value
coef_asc_alameda-0.109 0.00 NA[] 0.00 0.00
coef_asc_san_francisco-2.46 0.168-14.65*** NA 0.00
coef_asc_santa_clara 0.212 1.43e-16 BIG*** NA 0.00
coef_fewer_autos_than_workers-1.62 0.220-7.37*** NA 0.00
coef_hh_size_4_up 0.279 0.196 1.43 NA 0.00
coef_income_high-0.0531 0.242-0.22 NA 0.00
coef_income_very_high 0.297 0.208 1.43 NA 0.00
coef_more_autos_than_workers 0.223 0.241 0.93 NA 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
0.0 0.00 0.00 NA 0.00fixed value
coef_asc_alameda-0.142 0.0310-4.56*** 0.00
coef_asc_san_francisco-2.63 0.0591-44.52*** 0.00
coef_asc_santa_clara 0.188 0.0294 6.40*** 0.00
coef_fewer_autos_than_workers-1.41 0.0366-38.48*** 0.00
coef_hh_size_4_up 0.265 0.0278 9.51*** 0.00
coef_income_high 0.218 0.0307 7.09*** 0.00
coef_income_very_high 0.235 0.0282 8.35*** 0.00
coef_more_autos_than_workers 0.225 0.0294 7.65*** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1287,14 +1354,17 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "from activitysim.estimation.larch import update_coefficients\n", - "result_dir = data.edb_directory/\"estimated\"\n", + "\n", + "result_dir = data.edb_directory / \"estimated\"\n", "update_coefficients(\n", - " model, data, result_dir,\n", + " model,\n", + " data,\n", + " result_dir,\n", " output_file=f\"{modelname}_coefficients_revised.csv\",\n", ");" ] @@ -1308,23 +1378,12 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", - " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", + " result_dir / f\"{modelname}_model_estimation.xlsx\",\n", " data_statistics=False,\n", ")" ] @@ -1340,7 +1399,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -1373,49 +1432,49 @@ " \n", " 0\n", " coef_asc_san_francisco\n", - " -2.456059\n", + " -2.630212\n", " F\n", " \n", " \n", " 1\n", " coef_asc_santa_clara\n", - " 0.211800\n", + " 0.188205\n", " F\n", " \n", " \n", " 2\n", " coef_asc_alameda\n", - " -0.109200\n", + " -0.141547\n", " F\n", " \n", " \n", " 3\n", " coef_income_very_high\n", - " 0.296661\n", + " 0.235389\n", " F\n", " \n", " \n", " 4\n", " coef_income_high\n", - " -0.053120\n", + " 0.217818\n", " F\n", " \n", " \n", " 5\n", " coef_hh_size_4_up\n", - " 0.279145\n", + " 0.264779\n", " F\n", " \n", " \n", " 6\n", " coef_more_autos_than_workers\n", - " 0.223434\n", + " 0.225131\n", " F\n", " \n", " \n", " 7\n", " coef_fewer_autos_than_workers\n", - " -1.619489\n", + " -1.407827\n", " F\n", " \n", " \n", @@ -1424,23 +1483,23 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coef_asc_san_francisco -2.456059 F\n", - "1 coef_asc_santa_clara 0.211800 F\n", - "2 coef_asc_alameda -0.109200 F\n", - "3 coef_income_very_high 0.296661 F\n", - "4 coef_income_high -0.053120 F\n", - "5 coef_hh_size_4_up 0.279145 F\n", - "6 coef_more_autos_than_workers 0.223434 F\n", - "7 coef_fewer_autos_than_workers -1.619489 F" + "0 coef_asc_san_francisco -2.630212 F\n", + "1 coef_asc_santa_clara 0.188205 F\n", + "2 coef_asc_alameda -0.141547 F\n", + "3 coef_income_very_high 0.235389 F\n", + "4 coef_income_high 0.217818 F\n", + "5 coef_hh_size_4_up 0.264779 F\n", + "6 coef_more_autos_than_workers 0.225131 F\n", + "7 coef_fewer_autos_than_workers -1.407827 F" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "pd.read_csv(result_dir/f\"{modelname}_coefficients_revised.csv\")" + "pd.read_csv(result_dir / f\"{modelname}_coefficients_revised.csv\")" ] } ], @@ -1451,7 +1510,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -1465,7 +1524,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/06_cdap.ipynb b/activitysim/examples/example_estimation/notebooks/06_cdap.ipynb index 72169b9e3..a29ea0a7b 100644 --- a/activitysim/examples/example_estimation/notebooks/06_cdap.ipynb +++ b/activitysim/examples/example_estimation/notebooks/06_cdap.ipynb @@ -23,21 +23,84 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import numpy as np\n", "import pandas as pd\n", - "import larch\n", - "import os" + "import larch as lx\n", + "import os\n", + "\n", + "lx.versions()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from est_mode_setup import prepare, backup\n", + "\n", + "prepare()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "os.chdir('test')" + "backup(\"output-est-mode/estimation_data_bundle/cdap/cdap_INDIV_AND_HHSIZE1_SPEC.csv\")\n" ] }, { @@ -49,31 +112,35 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "one-hot encoding choice array\n", - "converting data_ch to \n", - "one-hot encoding choice array\n", - "converting data_ch to \n", - "one-hot encoding choice array\n", - "converting data_ch to \n", - "one-hot encoding choice array\n", - "converting data_ch to \n", - "one-hot encoding choice array\n", - "converting data_ch to \n" + "Reading output-est-mode/estimation_data_bundle/cdap/cdap_model_settings.yaml\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/final_households.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/final_persons.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_coefficients.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_interaction_coefficients.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_joint_tour_coefficients.csv\n", + "Including joint tour utility?: False\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_INDIV_AND_HHSIZE1_SPEC.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_values_combined.parquet\n" ] } ], "source": [ + "from activitysim.estimation.larch import component_model\n", + "\n", "modelname = \"cdap\"\n", "\n", - "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -92,34 +159,51 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "┣ INDIV_AND_HHSIZE1_SPEC: 'cdap_indiv_and_hhsize1.csv'\n", + "┣ ADD_JOINT_TOUR_UTILITY: False\n", "┣ COEFFICIENTS: 'cdap_coefficients.csv'\n", - "┣ INTERACTION_COEFFICIENTS: 'cdap_interaction_coefficients.csv'\n", - "┣ FIXED_RELATIVE_PROPORTIONS_SPEC: 'cdap_fixed_relative_proportions.csv'\n", - "┣ CONSTANTS: ┣ FULL: 1\n", - "┃ ┣ PART: 2\n", - "┃ ┣ UNIVERSITY: 3\n", + "┣ CONSTANTS: ┣ DRIVING: 6\n", + "┃ ┣ FULL: 1\n", "┃ ┣ NONWORK: 4\n", + "┃ ┣ PART: 2\n", + "┃ ┣ PRESCHOOL: 8\n", "┃ ┣ RETIRED: 5\n", - "┃ ┣ DRIVING: 6\n", "┃ ┣ SCHOOL: 7\n", - "┃ ┣ PRESCHOOL: 8\n", - "┣ PERSON_TYPE_MAP: ┣ WORKER: [1, 2]\n", - "┃ ┣ CHILD: [6, 7, 8]\n", - "┣ annotate_persons: ┣ SPEC: 'annotate_persons_cdap'\n", - "┃ ┣ DF: 'persons'\n", - "┣ annotate_households: ┣ SPEC: 'annotate_households_cdap'\n", - "┃ ┣ DF: 'households'\n", - "┃ ┣ TABLES: ['persons']" + "┃ ┣ UNIVERSITY: 3\n", + "┣ FIXED_RELATIVE_PROPORTIONS_SPEC: 'cdap_fixed_relative_proportions.csv'\n", + "┣ INDIV_AND_HHSIZE1_SPEC: 'cdap_indiv_and_hhsize1.csv'\n", + "┣ INTERACTION_COEFFICIENTS: 'cdap_interaction_coefficients.csv'\n", + "┣ JOINT_TOUR_COEFFICIENTS: 'cdap_joint_tour_coefficients.csv'\n", + "┣ JOINT_TOUR_USEFUL_COLUMNS: None\n", + "┣ PERSON_TYPE_MAP: ┣ CHILD: ---\n", + "┃ ┃ - 6\n", + "┃ ┃ - 7\n", + "┃ ┃ - 8\n", + "┃ ┃ ...\n", + "┃ ┣ WORKER: ---\n", + "┃ ┃ - 1\n", + "┃ ┃ - 2\n", + "┃ ┃ ...\n", + "┣ annotate_households: ┣ DF: 'households'\n", + "┃ ┣ SPEC: 'annotate_households_cdap'\n", + "┃ ┣ TABLES: ---\n", + "┃ ┃ - persons\n", + "┃ ┃ ...\n", + "┣ annotate_persons: ┣ DF: 'persons'\n", + "┃ ┣ SPEC: 'annotate_persons_cdap'\n", + "┃ ┣ TABLES: None\n", + "┣ compute_settings: None\n", + "┣ source_file_paths: ---\n", + "┃ - /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/test-estimation-data/activitysim-prototype-mtc-extended/configs/cdap.yaml\n", + "┃ ..." ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -137,7 +221,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -161,7 +245,6 @@ " \n", " \n", " \n", - " household_id\n", " home_zone_id\n", " income\n", " hhsize\n", @@ -171,8 +254,8 @@ " sample_rate\n", " income_in_thousands\n", " income_segment\n", + " median_value_of_time\n", " ...\n", - " hh_work_auto_savings_ratio\n", " num_under16_not_at_school\n", " num_travel_active\n", " num_travel_active_adults\n", @@ -182,23 +265,23 @@ " participates_in_jtf_model\n", " joint_tour_frequency\n", " num_hh_joint_tours\n", + " household_id\n", " \n", " \n", " \n", " \n", " 0\n", - " 166\n", - " 71\n", - " 9000\n", - " 1\n", - " 6\n", + " 52\n", " 0\n", + " 1\n", + " 4\n", + " 1\n", " 0\n", " 1\n", - " 9.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -208,21 +291,21 @@ " False\n", " 0_tours\n", " 0\n", + " 45\n", " \n", " \n", " 1\n", - " 197\n", - " 80\n", - " 4400\n", + " 124\n", + " 14000\n", + " 1\n", + " 4\n", " 1\n", - " 6\n", - " 0\n", " 0\n", " 1\n", - " 4.40\n", + " 14.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -232,21 +315,21 @@ " False\n", " 0_tours\n", " 0\n", + " 499\n", " \n", " \n", " 2\n", - " 268\n", - " 91\n", - " 1200\n", + " 132\n", + " 9600\n", " 1\n", " 4\n", " 1\n", " 0\n", " 1\n", - " 1.20\n", + " 9.6\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -256,21 +339,21 @@ " False\n", " 0_tours\n", " 0\n", + " 659\n", " \n", " \n", " 3\n", - " 375\n", - " 105\n", - " 0\n", + " 148\n", + " 18000\n", " 1\n", " 6\n", " 1\n", " 0\n", " 1\n", - " 0.00\n", + " 18.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -280,21 +363,21 @@ " False\n", " 0_tours\n", " 0\n", + " 948\n", " \n", " \n", " 4\n", - " 387\n", - " 112\n", - " 15770\n", + " 166\n", + " 14000\n", " 1\n", - " 6\n", + " 4\n", " 1\n", " 0\n", " 1\n", - " 15.77\n", + " 14.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -304,6 +387,7 @@ " False\n", " 0_tours\n", " 0\n", + " 1276\n", " \n", " \n", " ...\n", @@ -330,19 +414,18 @@ " ...\n", " \n", " \n", - " 1995\n", - " 2863464\n", - " 5\n", + " 19995\n", + " 1386\n", " 0\n", " 1\n", " 0\n", " 1\n", " 0\n", " 1\n", - " 0.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -352,45 +435,45 @@ " False\n", " 0_tours\n", " 0\n", + " 2874468\n", " \n", " \n", - " 1996\n", - " 2863483\n", - " 20\n", + " 19996\n", + " 1402\n", " 0\n", " 1\n", " 0\n", - " 1\n", + " 0\n", " 0\n", " 1\n", - " 0.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", - " 1\n", - " 1\n", " 0\n", " 0\n", - " 1\n", + " 0\n", + " 0\n", + " 0\n", " False\n", " 0_tours\n", " 0\n", + " 2874567\n", " \n", " \n", - " 1997\n", - " 2863806\n", - " 85\n", + " 19997\n", + " 1402\n", " 0\n", " 1\n", " 0\n", " 1\n", " 0\n", " 1\n", - " 0.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -400,21 +483,21 @@ " False\n", " 0_tours\n", " 0\n", + " 2874576\n", " \n", " \n", - " 1998\n", - " 2864518\n", - " 115\n", + " 19998\n", + " 1421\n", " 0\n", " 1\n", " 0\n", " 1\n", " 0\n", " 1\n", - " 0.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -424,21 +507,21 @@ " False\n", " 0_tours\n", " 0\n", + " 2874826\n", " \n", " \n", - " 1999\n", - " 2864688\n", - " 136\n", + " 19999\n", + " 1437\n", " 0\n", " 1\n", " 0\n", " 1\n", " 0\n", " 1\n", - " 0.00\n", + " 0.0\n", " 1\n", + " 6.01\n", " ...\n", - " 0.0\n", " 0\n", " 1\n", " 1\n", @@ -448,108 +531,109 @@ " False\n", " 0_tours\n", " 0\n", + " 2875013\n", " \n", " \n", "\n", - "

2000 rows × 35 columns

\n", + "

20000 rows × 35 columns

\n", "" ], "text/plain": [ - " household_id home_zone_id income hhsize HHT auto_ownership \\\n", - "0 166 71 9000 1 6 0 \n", - "1 197 80 4400 1 6 0 \n", - "2 268 91 1200 1 4 1 \n", - "3 375 105 0 1 6 1 \n", - "4 387 112 15770 1 6 1 \n", - "... ... ... ... ... ... ... \n", - "1995 2863464 5 0 1 0 1 \n", - "1996 2863483 20 0 1 0 1 \n", - "1997 2863806 85 0 1 0 1 \n", - "1998 2864518 115 0 1 0 1 \n", - "1999 2864688 136 0 1 0 1 \n", + " home_zone_id income hhsize HHT auto_ownership num_workers \\\n", + "0 52 0 1 4 1 0 \n", + "1 124 14000 1 4 1 0 \n", + "2 132 9600 1 4 1 0 \n", + "3 148 18000 1 6 1 0 \n", + "4 166 14000 1 4 1 0 \n", + "... ... ... ... ... ... ... \n", + "19995 1386 0 1 0 1 0 \n", + "19996 1402 0 1 0 0 0 \n", + "19997 1402 0 1 0 1 0 \n", + "19998 1421 0 1 0 1 0 \n", + "19999 1437 0 1 0 1 0 \n", "\n", - " num_workers sample_rate income_in_thousands income_segment ... \\\n", - "0 0 1 9.00 1 ... \n", - "1 0 1 4.40 1 ... \n", - "2 0 1 1.20 1 ... \n", - "3 0 1 0.00 1 ... \n", - "4 0 1 15.77 1 ... \n", - "... ... ... ... ... ... \n", - "1995 0 1 0.00 1 ... \n", - "1996 0 1 0.00 1 ... \n", - "1997 0 1 0.00 1 ... \n", - "1998 0 1 0.00 1 ... \n", - "1999 0 1 0.00 1 ... \n", + " sample_rate income_in_thousands income_segment median_value_of_time \\\n", + "0 1 0.0 1 6.01 \n", + "1 1 14.0 1 6.01 \n", + "2 1 9.6 1 6.01 \n", + "3 1 18.0 1 6.01 \n", + "4 1 14.0 1 6.01 \n", + "... ... ... ... ... \n", + "19995 1 0.0 1 6.01 \n", + "19996 1 0.0 1 6.01 \n", + "19997 1 0.0 1 6.01 \n", + "19998 1 0.0 1 6.01 \n", + "19999 1 0.0 1 6.01 \n", "\n", - " hh_work_auto_savings_ratio num_under16_not_at_school \\\n", - "0 0.0 0 \n", - "1 0.0 0 \n", - "2 0.0 0 \n", - "3 0.0 0 \n", - "4 0.0 0 \n", - "... ... ... \n", - "1995 0.0 0 \n", - "1996 0.0 0 \n", - "1997 0.0 0 \n", - "1998 0.0 0 \n", - "1999 0.0 0 \n", + " ... num_under16_not_at_school num_travel_active \\\n", + "0 ... 0 1 \n", + "1 ... 0 1 \n", + "2 ... 0 1 \n", + "3 ... 0 1 \n", + "4 ... 0 1 \n", + "... ... ... ... \n", + "19995 ... 0 1 \n", + "19996 ... 0 0 \n", + "19997 ... 0 1 \n", + "19998 ... 0 1 \n", + "19999 ... 0 1 \n", "\n", - " num_travel_active num_travel_active_adults \\\n", - "0 1 1 \n", - "1 1 1 \n", - "2 1 1 \n", - "3 1 1 \n", - "4 1 1 \n", - "... ... ... \n", - "1995 1 1 \n", - "1996 1 1 \n", - "1997 1 1 \n", - "1998 1 1 \n", - "1999 1 1 \n", + " num_travel_active_adults num_travel_active_preschoolers \\\n", + "0 1 0 \n", + "1 1 0 \n", + "2 1 0 \n", + "3 1 0 \n", + "4 1 0 \n", + "... ... ... \n", + "19995 1 0 \n", + "19996 0 0 \n", + "19997 1 0 \n", + "19998 1 0 \n", + "19999 1 0 \n", "\n", - " num_travel_active_preschoolers num_travel_active_children \\\n", - "0 0 0 \n", - "1 0 0 \n", - "2 0 0 \n", - "3 0 0 \n", - "4 0 0 \n", - "... ... ... \n", - "1995 0 0 \n", - "1996 0 0 \n", - "1997 0 0 \n", - "1998 0 0 \n", - "1999 0 0 \n", + " num_travel_active_children num_travel_active_non_preschoolers \\\n", + "0 0 1 \n", + "1 0 1 \n", + "2 0 1 \n", + "3 0 1 \n", + "4 0 1 \n", + "... ... ... \n", + "19995 0 1 \n", + "19996 0 0 \n", + "19997 0 1 \n", + "19998 0 1 \n", + "19999 0 1 \n", "\n", - " num_travel_active_non_preschoolers participates_in_jtf_model \\\n", - "0 1 False \n", - "1 1 False \n", - "2 1 False \n", - "3 1 False \n", - "4 1 False \n", - "... ... ... \n", - "1995 1 False \n", - "1996 1 False \n", - "1997 1 False \n", - "1998 1 False \n", - "1999 1 False \n", + " participates_in_jtf_model joint_tour_frequency num_hh_joint_tours \\\n", + "0 False 0_tours 0 \n", + "1 False 0_tours 0 \n", + "2 False 0_tours 0 \n", + "3 False 0_tours 0 \n", + "4 False 0_tours 0 \n", + "... ... ... ... \n", + "19995 False 0_tours 0 \n", + "19996 False 0_tours 0 \n", + "19997 False 0_tours 0 \n", + "19998 False 0_tours 0 \n", + "19999 False 0_tours 0 \n", "\n", - " joint_tour_frequency num_hh_joint_tours \n", - "0 0_tours 0 \n", - "1 0_tours 0 \n", - "2 0_tours 0 \n", - "3 0_tours 0 \n", - "4 0_tours 0 \n", - "... ... ... \n", - "1995 0_tours 0 \n", - "1996 0_tours 0 \n", - "1997 0_tours 0 \n", - "1998 0_tours 0 \n", - "1999 0_tours 0 \n", + " household_id \n", + "0 45 \n", + "1 499 \n", + "2 659 \n", + "3 948 \n", + "4 1276 \n", + "... ... \n", + "19995 2874468 \n", + "19996 2874567 \n", + "19997 2874576 \n", + "19998 2874826 \n", + "19999 2875013 \n", "\n", - "[2000 rows x 35 columns]" + "[20000 rows x 35 columns]" ] }, - "execution_count": 7, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -567,7 +651,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -602,14 +686,14 @@ " pstudent\n", " ptype\n", " ...\n", - " COLLFTE\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " chunk_id\n", " cdap_rank\n", " \n", @@ -617,122 +701,122 @@ " \n", " \n", " 0\n", - " 166\n", + " 45\n", " N\n", " N\n", - " 166\n", - " 54\n", + " 45\n", + " 48\n", + " 1\n", " 1\n", - " 2\n", " 3\n", " 3\n", " 4\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.21263\n", - " 24.783133\n", - " 31.566265\n", - " 13.883217\n", - " False\n", + " 9.924660\n", + " 12.562639\n", + " 4.193237\n", + " 6.875144\n", + " 3.952128\n", + " 6.590585\n", + " 2.194792\n", + " 6.359507\n", " 0\n", " 1\n", " \n", " \n", " 1\n", - " 197\n", + " 499\n", " N\n", " N\n", - " 197\n", - " 46\n", + " 499\n", + " 50\n", + " 1\n", " 1\n", - " 2\n", " 3\n", " 3\n", " 4\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.68156\n", - " 56.783784\n", - " 10.459459\n", - " 8.832526\n", - " False\n", + " 10.284673\n", + " 12.868645\n", + " 6.639963\n", + " 9.364105\n", + " 6.531079\n", + " 9.259002\n", + " 5.955868\n", + " 7.795004\n", " 1\n", " 1\n", " \n", " \n", " 2\n", - " 268\n", + " 659\n", " N\n", " N\n", - " 268\n", - " 46\n", + " 659\n", + " 52\n", " 1\n", " 1\n", " 3\n", " 3\n", " 4\n", " ...\n", - " 3598.08521\n", - " 0.00000\n", - " 1\n", - " 3.29100\n", - " 11.947644\n", - " 45.167539\n", - " 9.448375\n", - " True\n", - " 2\n", + " 10.247505\n", + " 12.762286\n", + " 6.001466\n", + " 8.409169\n", + " 5.786652\n", + " 8.279842\n", + " 5.798886\n", + " 7.900061\n", + " 0\n", " 1\n", " \n", " \n", " 3\n", - " 375\n", + " 948\n", " N\n", " N\n", - " 375\n", - " 54\n", + " 948\n", + " 61\n", " 1\n", " 2\n", " 3\n", " 3\n", " 4\n", " ...\n", - " 0.00000\n", - " 0.00000\n", + " 10.150335\n", + " 12.777635\n", + " 5.172974\n", + " 7.850360\n", + " 4.893929\n", + " 7.571579\n", + " 4.895220\n", + " 7.409345\n", " 1\n", - " 4.11499\n", - " 73.040169\n", - " 28.028350\n", - " 20.255520\n", - " True\n", - " 3\n", " 1\n", " \n", " \n", " 4\n", - " 387\n", - " N\n", + " 1276\n", + " H\n", " N\n", - " 387\n", - " 44\n", + " 1276\n", + " 46\n", + " 1\n", " 1\n", - " 2\n", " 3\n", " 3\n", " 4\n", " ...\n", - " 227.78223\n", - " 41.22827\n", - " 1\n", - " 3.83527\n", - " 26.631579\n", - " 45.868421\n", - " 16.848945\n", - " False\n", - " 4\n", + " 10.258471\n", + " 12.759529\n", + " 6.039019\n", + " 8.348963\n", + " 5.778785\n", + " 8.070525\n", + " 6.073537\n", + " 7.851667\n", + " 2\n", " 1\n", " \n", " \n", @@ -760,187 +844,187 @@ " ...\n", " \n", " \n", - " 4400\n", - " 7554799\n", + " 53069\n", + " 7565803\n", " N\n", " N\n", - " 2863464\n", - " 93\n", + " 2874468\n", + " 85\n", " 1\n", " 2\n", " 3\n", " 3\n", " 5\n", " ...\n", - " 72.14684\n", - " 0.00000\n", - " 1\n", - " 5.52555\n", - " 38.187500\n", - " 978.875000\n", - " 36.753679\n", - " False\n", - " 1995\n", + " 8.113608\n", + " 10.265845\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 9998\n", " 1\n", " \n", " \n", - " 4401\n", - " 7554818\n", - " N\n", - " N\n", - " 2863483\n", - " 68\n", - " 1\n", + " 53070\n", + " 7565902\n", + " H\n", + " H\n", + " 2874567\n", + " 87\n", " 1\n", + " 2\n", " 3\n", " 3\n", " 5\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 3\n", - " 3.99027\n", - " 39.838272\n", - " 71.693001\n", - " 25.608291\n", - " True\n", - " 1996\n", + " 6.560015\n", + " 8.886403\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 9997\n", " 1\n", " \n", " \n", - " 4402\n", - " 7555141\n", + " 53071\n", + " 7565911\n", " N\n", " N\n", - " 2863806\n", - " 93\n", + " 2874576\n", + " 85\n", " 1\n", " 2\n", " 3\n", " 3\n", " 5\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 4.27539\n", - " 51.675676\n", - " 47.216216\n", - " 24.672699\n", - " False\n", - " 1997\n", + " 6.560015\n", + " 8.886403\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 9999\n", " 1\n", " \n", " \n", - " 4403\n", - " 7555853\n", + " 53072\n", + " 7566161\n", " N\n", " N\n", - " 2864518\n", - " 71\n", + " 2874826\n", + " 79\n", " 1\n", " 1\n", " 3\n", " 3\n", " 5\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 25.52083\n", - " 15.938148\n", - " 551.353820\n", - " 15.490363\n", - " True\n", - " 1998\n", + " 9.298380\n", + " 11.721935\n", + " 1.052528\n", + " 2.925968\n", + " 0.494776\n", + " 2.006432\n", + " 3.782008\n", + " 6.208875\n", + " 9998\n", " 1\n", " \n", " \n", - " 4404\n", - " 7556023\n", + " 53073\n", + " 7566348\n", " N\n", " N\n", - " 2864688\n", + " 2875013\n", " 93\n", " 1\n", - " 1\n", + " 2\n", " 3\n", " 3\n", " 5\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.29134\n", - " 16.000000\n", - " 31.644068\n", - " 10.626823\n", - " False\n", - " 1999\n", + " 9.588527\n", + " 12.019407\n", + " 3.053361\n", + " 5.871246\n", + " 0.141304\n", + " 0.776133\n", + " 4.090554\n", + " 6.388513\n", + " 9999\n", " 1\n", " \n", " \n", "\n", - "

4405 rows × 110 columns

\n", + "

53074 rows × 110 columns

\n", "" ], "text/plain": [ - " person_id model_choice override_choice household_id age PNUM sex \\\n", - "0 166 N N 166 54 1 2 \n", - "1 197 N N 197 46 1 2 \n", - "2 268 N N 268 46 1 1 \n", - "3 375 N N 375 54 1 2 \n", - "4 387 N N 387 44 1 2 \n", - "... ... ... ... ... ... ... ... \n", - "4400 7554799 N N 2863464 93 1 2 \n", - "4401 7554818 N N 2863483 68 1 1 \n", - "4402 7555141 N N 2863806 93 1 2 \n", - "4403 7555853 N N 2864518 71 1 1 \n", - "4404 7556023 N N 2864688 93 1 1 \n", + " person_id model_choice override_choice household_id age PNUM sex \\\n", + "0 45 N N 45 48 1 1 \n", + "1 499 N N 499 50 1 1 \n", + "2 659 N N 659 52 1 1 \n", + "3 948 N N 948 61 1 2 \n", + "4 1276 H N 1276 46 1 1 \n", + "... ... ... ... ... ... ... ... \n", + "53069 7565803 N N 2874468 85 1 2 \n", + "53070 7565902 H H 2874567 87 1 2 \n", + "53071 7565911 N N 2874576 85 1 2 \n", + "53072 7566161 N N 2874826 79 1 1 \n", + "53073 7566348 N N 2875013 93 1 2 \n", "\n", - " pemploy pstudent ptype ... COLLFTE COLLPTE TOPOLOGY TERMINAL \\\n", - "0 3 3 4 ... 0.00000 0.00000 1 3.21263 \n", - "1 3 3 4 ... 0.00000 0.00000 1 3.68156 \n", - "2 3 3 4 ... 3598.08521 0.00000 1 3.29100 \n", - "3 3 3 4 ... 0.00000 0.00000 1 4.11499 \n", - "4 3 3 4 ... 227.78223 41.22827 1 3.83527 \n", - "... ... ... ... ... ... ... ... ... \n", - "4400 3 3 5 ... 72.14684 0.00000 1 5.52555 \n", - "4401 3 3 5 ... 0.00000 0.00000 3 3.99027 \n", - "4402 3 3 5 ... 0.00000 0.00000 1 4.27539 \n", - "4403 3 3 5 ... 0.00000 0.00000 1 25.52083 \n", - "4404 3 3 5 ... 0.00000 0.00000 1 3.29134 \n", + " pemploy pstudent ptype ... auOpRetail auOpTotal trPkRetail \\\n", + "0 3 3 4 ... 9.924660 12.562639 4.193237 \n", + "1 3 3 4 ... 10.284673 12.868645 6.639963 \n", + "2 3 3 4 ... 10.247505 12.762286 6.001466 \n", + "3 3 3 4 ... 10.150335 12.777635 5.172974 \n", + "4 3 3 4 ... 10.258471 12.759529 6.039019 \n", + "... ... ... ... ... ... ... ... \n", + "53069 3 3 5 ... 8.113608 10.265845 0.000000 \n", + "53070 3 3 5 ... 6.560015 8.886403 0.000000 \n", + "53071 3 3 5 ... 6.560015 8.886403 0.000000 \n", + "53072 3 3 5 ... 9.298380 11.721935 1.052528 \n", + "53073 3 3 5 ... 9.588527 12.019407 3.053361 \n", "\n", - " household_density employment_density density_index is_cbd chunk_id \\\n", - "0 24.783133 31.566265 13.883217 False 0 \n", - "1 56.783784 10.459459 8.832526 False 1 \n", - "2 11.947644 45.167539 9.448375 True 2 \n", - "3 73.040169 28.028350 20.255520 True 3 \n", - "4 26.631579 45.868421 16.848945 False 4 \n", - "... ... ... ... ... ... \n", - "4400 38.187500 978.875000 36.753679 False 1995 \n", - "4401 39.838272 71.693001 25.608291 True 1996 \n", - "4402 51.675676 47.216216 24.672699 False 1997 \n", - "4403 15.938148 551.353820 15.490363 True 1998 \n", - "4404 16.000000 31.644068 10.626823 False 1999 \n", + " trPkTotal trOpRetail trOpTotal nmRetail nmTotal chunk_id \\\n", + "0 6.875144 3.952128 6.590585 2.194792 6.359507 0 \n", + "1 9.364105 6.531079 9.259002 5.955868 7.795004 1 \n", + "2 8.409169 5.786652 8.279842 5.798886 7.900061 0 \n", + "3 7.850360 4.893929 7.571579 4.895220 7.409345 1 \n", + "4 8.348963 5.778785 8.070525 6.073537 7.851667 2 \n", + "... ... ... ... ... ... ... \n", + "53069 0.000000 0.000000 0.000000 0.000000 0.000000 9998 \n", + "53070 0.000000 0.000000 0.000000 0.000000 0.000000 9997 \n", + "53071 0.000000 0.000000 0.000000 0.000000 0.000000 9999 \n", + "53072 2.925968 0.494776 2.006432 3.782008 6.208875 9998 \n", + "53073 5.871246 0.141304 0.776133 4.090554 6.388513 9999 \n", "\n", - " cdap_rank \n", - "0 1 \n", - "1 1 \n", - "2 1 \n", - "3 1 \n", - "4 1 \n", - "... ... \n", - "4400 1 \n", - "4401 1 \n", - "4402 1 \n", - "4403 1 \n", - "4404 1 \n", + " cdap_rank \n", + "0 1 \n", + "1 1 \n", + "2 1 \n", + "3 1 \n", + "4 1 \n", + "... ... \n", + "53069 1 \n", + "53070 1 \n", + "53071 1 \n", + "53072 1 \n", + "53073 1 \n", "\n", - "[4405 rows x 110 columns]" + "[53074 rows x 110 columns]" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -958,7 +1042,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1100,7 +1184,7 @@ "[133 rows x 5 columns]" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1118,7 +1202,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1210,7 +1294,7 @@ "4 coef_UNAVAILABLE coef_retired_asc_N NaN " ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1219,6 +1303,26 @@ "data.spec1.head()" ] }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['edb_directory', 'person_data', 'spec1', 'interaction_coef', 'coefficients', 'households', 'settings', 'joint_coef', 'add_joint'])" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.keys()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1303,7 +1407,7 @@ { "data": { "text/html": [ - "

Iteration 124 [Optimization terminated successfully]

" + "

Iteration 138 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1315,7 +1419,7 @@ { "data": { "text/html": [ - "

Best LL = -2354.458830163564

" + "

Best LL = -28223.515541250054

" ], "text/plain": [ "" @@ -1346,70 +1450,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " coef_UNAVAILABLE\n", + " -999.0\n", " -999.000000\n", " -999.000000\n", - " 0.0\n", - " NaN\n", - " NaN\n", - " True\n", - " \n", " -999.000000\n", + " -999.0\n", + " -999.0\n", + " 0.0\n", + " 1\n", " \n", " \n", - " coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N\n", - " 0.856930\n", - " 0.082330\n", + " coef_H_11\n", + " 1.446554\n", + " 1.446554\n", + " 1.626000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " 0.856930\n", + " 0\n", " \n", " \n", - " coef_driving_age_child_who_is_in_school_asc_M\n", - " 0.738480\n", - " 2.330919\n", + " coef_H_12\n", + " 0.954554\n", + " 0.954554\n", + " 0.740700\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " 0.738480\n", + " 0\n", " \n", " \n", - " coef_driving_age_child_who_is_in_school_asc_N\n", - " -8.930886\n", - " -0.599119\n", + " coef_H_124_122_144\n", + " 0.353981\n", + " 0.353981\n", + " 0.957300\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -8.930886\n", + " 0\n", " \n", " \n", - " coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H\n", - " -0.938531\n", - " -0.503100\n", + " coef_H_126_146\n", + " -0.013374\n", + " -0.013374\n", + " 0.293900\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -0.938531\n", + " 0\n", " \n", " \n", " ...\n", @@ -1420,122 +1528,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " coef_N_124_122_144\n", - " 0.996710\n", - " 0.349100\n", + " coef_retired_interaction_with_more_cars_than_workers_M\n", + " 2.992000\n", + " 2.992000\n", + " 2.992000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " 0.996710\n", + " 0\n", " \n", " \n", - " coef_N_166\n", - " -1.976101\n", - " 0.355300\n", + " coef_retired_interaction_with_more_cars_than_workers_N\n", + " 1.015905\n", + " 1.015905\n", + " 1.056000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -1.976101\n", + " 0\n", " \n", " \n", - " coef_N_222_224_444\n", - " -2.046233\n", - " -1.386000\n", + " coef_retired_interaction_with_peak_accessibility_to_all_employment_M\n", + " 0.279200\n", + " 0.279200\n", + " 0.279200\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -2.046233\n", + " 0\n", " \n", " \n", - " coef_N_246_226_446\n", - " -0.859376\n", - " -0.857100\n", + " coef_university_student_asc_M\n", + " 2.169416\n", + " 2.169416\n", + " 2.353595\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -0.859376\n", + " 0\n", " \n", " \n", - " coef_N_xxxxx\n", - " -0.825691\n", - " -3.453000\n", + " coef_university_student_asc_N\n", + " 0.489431\n", + " 0.489431\n", + " 0.609710\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", - " False\n", - " \n", - " -0.825691\n", + " 0\n", " \n", " \n", "\n", - "

161 rows × 8 columns

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161 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_UNAVAILABLE -999.000000 -999.000000 \n", - "coef_child_who_is_in_school_or_too_young_for_sc... 0.856930 0.082330 \n", - "coef_driving_age_child_who_is_in_school_asc_M 0.738480 2.330919 \n", - "coef_driving_age_child_who_is_in_school_asc_N -8.930886 -0.599119 \n", - "coef_driving_age_child_who_is_in_school_interac... -0.938531 -0.503100 \n", + " value best \\\n", + "param_name \n", + "-999.0 -999.000000 -999.000000 \n", + "coef_H_11 1.446554 1.446554 \n", + "coef_H_12 0.954554 0.954554 \n", + "coef_H_124_122_144 0.353981 0.353981 \n", + "coef_H_126_146 -0.013374 -0.013374 \n", "... ... ... \n", - "coef_N_124_122_144 0.996710 0.349100 \n", - "coef_N_166 -1.976101 0.355300 \n", - "coef_N_222_224_444 -2.046233 -1.386000 \n", - "coef_N_246_226_446 -0.859376 -0.857100 \n", - "coef_N_xxxxx -0.825691 -3.453000 \n", + "coef_retired_interaction_with_more_cars_than_wo... 2.992000 2.992000 \n", + "coef_retired_interaction_with_more_cars_than_wo... 1.015905 1.015905 \n", + "coef_retired_interaction_with_peak_accessibilit... 0.279200 0.279200 \n", + "coef_university_student_asc_M 2.169416 2.169416 \n", + "coef_university_student_asc_N 0.489431 0.489431 \n", "\n", - " nullvalue minimum \\\n", - "coef_UNAVAILABLE 0.0 NaN \n", - "coef_child_who_is_in_school_or_too_young_for_sc... 0.0 NaN \n", - "coef_driving_age_child_who_is_in_school_asc_M 0.0 NaN \n", - "coef_driving_age_child_who_is_in_school_asc_N 0.0 NaN \n", - "coef_driving_age_child_who_is_in_school_interac... 0.0 NaN \n", - "... ... ... \n", - "coef_N_124_122_144 0.0 NaN \n", - "coef_N_166 0.0 NaN \n", - "coef_N_222_224_444 0.0 NaN \n", - "coef_N_246_226_446 0.0 NaN \n", - "coef_N_xxxxx 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "-999.0 -999.000000 -999.0 \n", + "coef_H_11 1.626000 -inf \n", + "coef_H_12 0.740700 -inf \n", + "coef_H_124_122_144 0.957300 -inf \n", + "coef_H_126_146 0.293900 -inf \n", + "... ... ... \n", + "coef_retired_interaction_with_more_cars_than_wo... 2.992000 -inf \n", + "coef_retired_interaction_with_more_cars_than_wo... 1.056000 -inf \n", + "coef_retired_interaction_with_peak_accessibilit... 0.279200 -inf \n", + "coef_university_student_asc_M 2.353595 -inf \n", + "coef_university_student_asc_N 0.609710 -inf \n", "\n", - " maximum holdfast note \\\n", - "coef_UNAVAILABLE NaN True \n", - "coef_child_who_is_in_school_or_too_young_for_sc... NaN False \n", - "coef_driving_age_child_who_is_in_school_asc_M NaN False \n", - "coef_driving_age_child_who_is_in_school_asc_N NaN False \n", - "coef_driving_age_child_who_is_in_school_interac... NaN False \n", - "... ... ... ... \n", - "coef_N_124_122_144 NaN False \n", - "coef_N_166 NaN False \n", - "coef_N_222_224_444 NaN False \n", - "coef_N_246_226_446 NaN False \n", - "coef_N_xxxxx NaN False \n", + " maximum nullvalue \\\n", + "param_name \n", + "-999.0 -999.0 0.0 \n", + "coef_H_11 inf 0.0 \n", + "coef_H_12 inf 0.0 \n", + "coef_H_124_122_144 inf 0.0 \n", + "coef_H_126_146 inf 0.0 \n", + "... ... ... \n", + "coef_retired_interaction_with_more_cars_than_wo... inf 0.0 \n", + "coef_retired_interaction_with_more_cars_than_wo... inf 0.0 \n", + "coef_retired_interaction_with_peak_accessibilit... inf 0.0 \n", + "coef_university_student_asc_M inf 0.0 \n", + "coef_university_student_asc_N inf 0.0 \n", "\n", - " best \n", - "coef_UNAVAILABLE -999.000000 \n", - "coef_child_who_is_in_school_or_too_young_for_sc... 0.856930 \n", - "coef_driving_age_child_who_is_in_school_asc_M 0.738480 \n", - "coef_driving_age_child_who_is_in_school_asc_N -8.930886 \n", - "coef_driving_age_child_who_is_in_school_interac... -0.938531 \n", - "... ... \n", - "coef_N_124_122_144 0.996710 \n", - "coef_N_166 -1.976101 \n", - "coef_N_222_224_444 -2.046233 \n", - "coef_N_246_226_446 -0.859376 \n", - "coef_N_xxxxx -0.825691 \n", + " holdfast \n", + "param_name \n", + "-999.0 1 \n", + "coef_H_11 0 \n", + "coef_H_12 0 \n", + "coef_H_124_122_144 0 \n", + "coef_H_126_146 0 \n", + "... ... \n", + "coef_retired_interaction_with_more_cars_than_wo... 0 \n", + "coef_retired_interaction_with_more_cars_than_wo... 0 \n", + "coef_retired_interaction_with_peak_accessibilit... 0 \n", + "coef_university_student_asc_M 0 \n", + "coef_university_student_asc_N 0 \n", "\n", - "[161 rows x 8 columns]" + "[161 rows x 7 columns]" ] }, "metadata": {}, @@ -1545,12 +1651,9 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " r = model.estimate(method='SLSQP', options={'maxiter':1000})\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.7787895067513534e-43 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " r = model.estimate(method='SLSQP', options={'maxiter':1000})\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/optimization.py:338: UserWarning: SLSQP may not play nicely with unbounded parameters\n", + "if you get poor results, consider setting global bounds with model.set_cap()\n", + " warnings.warn( # infinite bounds # )\n" ] } ], @@ -1566,1704 +1669,4882 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value
coef_UNAVAILABLE-999. 0.00 NA NA 0.00
coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N 0.857 0.618 1.39 NA 0.00
coef_driving_age_child_who_is_in_school_asc_M 0.738 0.649 1.14 NA 0.00
coef_driving_age_child_who_is_in_school_asc_N-8.93 6.17-1.45 NA 0.00
coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H-0.939 0.760-1.23 NA 0.00
coef_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H 0.409 0.669 0.61 NA 0.00
coef_driving_age_child_who_is_in_school_interaction_with_income_more_than_100k_H-1.75 0.887-1.97* NA 0.00
coef_driving_age_child_who_is_in_school_interaction_with_less_than_20k_H 0.456 0.807 0.57 NA 0.00
coef_full_time_worker_asc_M 1.03 2.64 0.39 NA 0.00
coef_full_time_worker_asc_N 0.742 0.188 3.95*** NA 0.00
coef_full_time_worker_interaction_with_age_less_than_40_M 0.439 0.131 3.35*** NA 0.00
coef_full_time_worker_interaction_with_female_gender_M 0.0529 0.130 0.41 NA 0.00
coef_full_time_worker_interaction_with_fewer_cars_than_workers_H 0.418 0.192 2.18* NA 0.00
coef_full_time_worker_interaction_with_income_less_than_20k_H 0.359 0.326 1.10 NA 0.00
coef_full_time_worker_intraction_with_peak_accessibility_to_all_employment_M 0.147 0.209 0.70 NA 0.00
coef_non_working_adult_asc_N 0.874 3.96 0.22 NA 0.00
coef_non_working_adult_interaction_with_female_gender_M-0.743 0.0120-62.04*** NA 0.00
coef_non_working_adult_interaction_with_fewer_cars_than_workers_H 0.797 0.336 2.37* NA 0.00
coef_non_working_adult_interaction_with_income_between_50k_and_100k_H-1.23 0.374-3.28** NA 0.00
coef_non_working_adult_interaction_with_income_more_than_100k_H-0.683 0.344-1.98* NA 0.00
coef_non_working_adult_interaction_with_more_cars_than_workers_M 0.651 0.0188 34.73*** NA 0.00
coef_non_working_adult_interaction_with_more_cars_than_workers_N 1.33 0.300 4.42*** NA 0.00
coef_non_working_adult_interaction_with_peak_accessibility_to_all_employment_M 0.231 0.00933 24.80*** NA 0.00
coef_non_working_adult_retired_or_univ_student_interaction_with_off_peak_accessibility_to_all_employment_N 0.0176 0.396 0.04 NA 0.00
coef_part_time_worker_asc_M 4.90 4.19 1.17 NA 0.00
coef_part_time_worker_asc_N 0.659 0.316 2.09* NA 0.00
coef_part_time_worker_interaction_with_income_between_50k_and_100k_H 0.172 0.421 0.41 NA 0.00
coef_part_time_worker_interaction_with_income_less_than_20k_H 0.380 0.411 0.93 NA 0.00
coef_part_time_worker_interaction_with_income_more_than_100k_H-1.36 0.780-1.75 NA 0.00
coef_part_time_worker_interaction_with_income_more_than_100k_N 0.493 0.272 1.81 NA 0.00
coef_part_time_worker_interaction_with_peak_accessibility_to_all_employment_M-0.247 0.330-0.75 NA 0.00
coef_pre_driving_age_child_who_is_in_school_asc_M 3.95 0.527 7.49*** NA 0.00
coef_pre_driving_age_child_who_is_in_school_asc_N-6.81 6.14-1.11 NA 0.00
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_M-1.55 0.475-3.26** NA 0.00
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_N-1.15 0.513-2.25* NA 0.00
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_6_to_9_M-0.670 0.371-1.81 NA 0.00
coef_pre_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H 1.10 0.381 2.89** NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_asc_M 0.938 0.408 2.30* NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_asc_N-8.47 6.15-1.38 NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_0_to_1_M-0.944 0.359-2.63** NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_4_to_5_M 0.239 0.412 0.58 NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_fewer_cars_than_workers_H-0.0626 0.407-0.15 NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_between_50k_and_100k_H-0.723 0.506-1.43 NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_more_than_100k_H-0.783 0.465-1.68 NA 0.00
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_more_cars_than_workers_N 0.772 0.420 1.84 NA 0.00
coef_retired_asc_N 1.54 3.97 0.39 NA 0.00
coef_retired_interaction_with_age_more_than_80_H 1.17 0.248 4.71*** NA 0.00
coef_retired_interaction_with_female_M 0.477 0.00219 218.04*** NA 0.00
coef_retired_interaction_with_fewer_cars_than_workers_H 0.849 0.444 1.91 NA 0.00
coef_retired_interaction_with_income_less_than_20k_H 0.635 0.259 2.45* NA 0.00
coef_retired_interaction_with_more_cars_than_workers_M 2.99 0.00983 304.22*** NA 0.00
coef_retired_interaction_with_more_cars_than_workers_N 0.713 0.256 2.79** NA 0.00
coef_retired_interaction_with_peak_accessibility_to_all_employment_M 0.279 0.0173 16.15*** NA 0.00
coef_university_student_asc_M 2.12 0.255 8.29*** NA 0.00
coef_university_student_asc_N 0.810 3.94 0.21 NA 0.00
-999.0-999. 0.00 NA NA-999.00
coef_H_11 1.48 0.210 7.04*** NA 0.00
coef_H_12-0.0642 0.955-0.07 NA 0.00
coef_H_13 1.49 0.327 4.56*** NA 0.00
coef_H_14 1.21 0.276 4.37*** NA 0.00
coef_H_15 0.966 0.369 2.62** NA 0.00
coef_H_16 1.54 0.345 4.47*** NA 0.00
coef_H_17 1.46 0.227 6.46*** NA 0.00
coef_H_18 1.21 0.309 3.92*** NA 0.00
coef_H_22-20.0 1.16e+03-0.02 NA 0.00
coef_H_23 0.761 1.06 0.72 NA 0.00
coef_H_24 0.966 0.806 1.20 NA 0.00
coef_H_25-18.4 1.22e+04-0.00 NA 0.00
coef_H_26 4.14 1.29 3.20** NA 0.00
coef_H_27 0.402 1.00 0.40 NA 0.00
coef_H_28-17.8 9.45e+03-0.00 NA 0.00
coef_H_33 0.955 0.848 1.13 NA 0.00
coef_H_34 1.56 0.392 3.97*** NA 0.00
coef_H_35-18.3 1.34e+04-0.00 NA 0.00
coef_H_36 1.55 0.0159 97.45*** NA 0.00
coef_H_37 1.55 0.00264 587.28*** NA 0.00
coef_H_38 1.34 0.0149 90.11*** NA 0.00
coef_H_44 1.52 0.412 3.69*** NA 0.00
coef_H_45 2.05 0.499 4.11*** NA 0.00
coef_H_46 0.524 0.00131 399.66*** NA 0.00
coef_H_47 0.811 0.00179 453.41*** NA 0.00
coef_H_48 1.17 0.0131 89.09*** NA 0.00
coef_H_55 1.01 0.517 1.96 NA 0.00
coef_H_56_57_58 0.863 0.0203 42.43*** NA 0.00
coef_H_66 20.8 NA NA[***] 55.85 0.00
coef_H_67-22.2 0.00635-BIG*** NA 0.00
coef_H_68 1.47 0.00299 490.95*** NA 0.00
coef_H_77 2.42 0.504 4.81*** NA 0.00
coef_H_78 18.7 NA NA[***] 7.25 0.00
coef_H_88 1.18 0.582 2.03* NA 0.00
coef_M_11-0.103 0.147-0.70 NA 0.00
coef_M_12 0.243 0.225 1.08 NA 0.00
coef_M_13 0.235 0.156 1.51 NA 0.00
coef_M_16 0.374 0.290 1.29 NA 0.00
coef_M_17-0.124 0.116-1.06 NA 0.00
coef_M_18 0.262 0.167 1.57 NA 0.00
coef_M_22 0.888 0.287 3.10** NA 0.00
coef_M_23 0.170 0.330 0.51 NA 0.00
coef_M_26 1.90 1.13 1.68 NA 0.00
coef_M_27 0.0987 0.189 0.52 NA 0.00
coef_M_28 0.378 0.294 1.28 NA 0.00
coef_M_33 0.470 0.212 2.21* NA 0.00
coef_M_36-0.00210 NA NA[] 0.00 0.00
coef_M_37 0.297 0.000362 822.44*** NA 0.00
coef_M_38 0.225 NA NA[] 0.00 0.00
coef_M_66 19.2 NA NA[***] 35.09 0.00
coef_M_67-21.0 2.08-10.10*** NA 0.00
coef_M_68 0.552 0.000386 BIG*** NA 0.00
coef_M_77 1.17 0.316 3.71*** NA 0.00
coef_M_78-1.62 0.000121-BIG*** NA 0.00
coef_M_88 1.14 0.349 3.28** NA 0.00
coef_N_11 0.776 0.323 2.41* NA 0.00
coef_N_12 0.488 0.429 1.14 NA 0.00
coef_N_13 0.497 0.436 1.14 NA 0.00
coef_N_14-0.360 0.326-1.11 NA 0.00
coef_N_15 0.366 0.242 1.51 NA 0.00
coef_N_16 0.864 0.738 1.17 NA 0.00
coef_N_17-0.155 0.514-0.30 NA 0.00
coef_N_18 0.0616 0.502 0.12 NA 0.00
coef_N_22 0.782 0.611 1.28 NA 0.00
coef_N_23 0.518 0.622 0.83 NA 0.00
coef_N_24 1.21 0.329 3.66*** NA 0.00
coef_N_25-0.304 0.471-0.65 NA 0.00
coef_N_26-17.9 0.143-125.60*** NA 0.00
coef_N_27 0.291 0.521 0.56 NA 0.00
coef_N_28 0.932 0.453 2.06* NA 0.00
coef_N_33 0.976 0.277 3.52*** NA 0.00
coef_N_34-0.197 0.399-0.49 NA 0.00
coef_N_35 0.0721 0.504 0.14 NA 0.00
coef_N_36 1.62 0.00 NA[] 0.00 0.00
coef_N_37 0.516 0.00 NA[] 0.00 0.00
coef_N_38 0.897 0.00 NA[] 0.00 0.00
coef_N_44 0.492 0.450 1.09 NA 0.00
coef_N_45 0.0795 0.354 0.22 NA 0.00
coef_N_46 0.680 0.00 NA[] 0.00 0.00
coef_N_47 0.565 0.00 NA[] 0.00 0.00
coef_N_48 1.16 0.00 NA[] 0.00 0.00
coef_N_55 0.712 0.348 2.04* NA 0.00
coef_N_56_57_58 0.292 0.00 NA[] 0.00 0.00
coef_N_66-3.08 0.00112-BIG*** NA 0.00
coef_N_67-17.1 2.19e+04-0.00 NA 0.00
coef_N_68 1.27 0.00 NA[] 0.00 0.00
coef_N_77 2.27 0.413 5.49*** NA 0.00
coef_N_78-0.396 1.75e-15-BIG*** NA 0.00
coef_N_88-0.184 0.811-0.23 NA 0.00
coef_H_124_122_144 0.693 0.513 1.35 NA 0.00
coef_H_126_146 1.70 1.76 0.97 NA 0.00
coef_H_222_224_244-9.07 1.44e+03-0.01 NA 0.00
coef_H_226_246_446 39.5 1.16e+03 0.03 NA 0.00
coef_H_266_466 0.475 0.00 NA[] 0.00 0.00
coef_H_xxxxx-4.45 1.19-3.74*** NA 0.00
coef_M_111 0.265 0.175 1.51 NA 0.00
coef_M_112_114-0.133 0.365-0.37 NA 0.00
coef_M_666-0.391 0.00 NA[] 0.00 0.00
coef_M_xxxxx-0.0402 0.190-0.21 NA 0.00
coef_N_112_114-0.452 0.881-0.51 NA 0.00
coef_N_124_122_144 0.997 0.535 1.86 NA 0.00
coef_N_166-1.98 1.09e-05-BIG*** NA 0.00
coef_N_222_224_444-2.05 0.981-2.09* NA 0.00
coef_N_246_226_446-0.859 2.50e-18-BIG*** NA 0.00
coef_N_xxxxx-0.826 0.514-1.61 NA 0.00
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameter_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "TojXWivZsx7M" - }, - "source": [ - "# Output Estimation Results" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "from larch.util.activitysim import update_coefficients\n", - "coefficients = update_coefficients(model, data)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "result_dir = data.edb_directory/'estimated'" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "os.makedirs(result_dir, exist_ok=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Write the re-estimated coefficients file" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "coefficients.reset_index().to_csv(\n", - " result_dir/\"cdap_coefficients_revised.csv\", \n", - " index=False,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Write the model estimation report, including coefficient t-statistic and log likelihood" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "for hh_size, submodel in enumerate(model, 1):\n", - " if hh_size > 3: \n", - " break \n", - " # the largest HH sizes have massive model reports that \n", - " # Excel doesn't handle well; review them in Jupyter \n", - " # instead if you are interested\n", - " submodel.to_xlsx(\n", - " result_dir/f\"cdap_model_estimation_hhsize{hh_size}.xlsx\", \n", - " data_statistics=False,\n", - " )" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Next Steps\n", - "\n", - "The final step is to either manually or automatically copy the `cdap_coefficients.csv_revised.csv` file to the configs folder, rename it to `cdap_coefficients.csv.csv`, and run ActivitySim in simulation mode." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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coefficient_namevalueconstrain
 ValueStd Errt StatSignifNull Value
Parameter     
0coef_UNAVAILABLE-999.000000T-999.0-999. 0.00 NA 0.00
1coef_full_time_worker_asc_M1.034987Fcoef_H_11 1.45 0.0614 23.55*** 0.00
2coef_full_time_worker_asc_N0.742053Fcoef_H_12 0.955 0.132 7.21*** 0.00
3coef_part_time_worker_asc_M4.900043Fcoef_H_124_122_144 0.354 0.153 2.31* 0.00
4coef_part_time_worker_asc_N0.659214Fcoef_H_126_146-0.0134 0.336-0.04 0.00
............coef_H_13 1.20 0.130 9.21*** 0.00
161coef_N_xxxx-1.346000Fcoef_H_14 0.998 0.0903 11.05*** 0.00
162coef_H_xxxx-3.733000Fcoef_H_15 1.18 0.0922 12.76*** 0.00
163coef_M_xxxxx-0.040214Fcoef_H_16 1.85 0.102 18.08*** 0.00
164coef_N_xxxxx-0.825691Fcoef_H_17 1.34 0.0557 24.07*** 0.00
165coef_H_xxxxx-4.449197Fcoef_H_18 0.803 0.109 7.36*** 0.00
\n", - "

166 rows × 3 columns

\n", - "
" - ], - "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_UNAVAILABLE -999.000000 T\n", - "1 coef_full_time_worker_asc_M 1.034987 F\n", - "2 coef_full_time_worker_asc_N 0.742053 F\n", - "3 coef_part_time_worker_asc_M 4.900043 F\n", - "4 coef_part_time_worker_asc_N 0.659214 F\n", - ".. ... ... ...\n", - "161 coef_N_xxxx -1.346000 F\n", - "162 coef_H_xxxx -3.733000 F\n", - "163 coef_M_xxxxx -0.040214 F\n", - "164 coef_N_xxxxx -0.825691 F\n", - "165 coef_H_xxxxx -4.449197 F\n", - "\n", - "[166 rows x 3 columns]" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pd.read_csv(result_dir/\"cdap_coefficients_revised.csv\")" + " \n", + " coef_H_22\n", + "  1.66\n", + "  0.215\n", + "  7.76\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_222_224_244\n", + "  0.0747\n", + "  0.225\n", + "  0.33\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_226_246_446\n", + "  0.0745\n", + "  0.683\n", + "  0.11\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_23\n", + "  1.68\n", + "  0.209\n", + "  8.02\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_24\n", + "  1.20\n", + "  0.165\n", + "  7.27\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_25\n", + " -0.0811\n", + "  0.278\n", + " -0.29\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_26\n", + "  2.83\n", + "  0.239\n", + "  11.83\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_266_466\n", + "  1.24\n", + "  0.650\n", + "  1.91\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_27\n", + "  0.803\n", + "  0.158\n", + "  5.08\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_28\n", + "  0.941\n", + "  0.187\n", + "  5.05\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_33\n", + "  0.359\n", + "  0.448\n", + "  0.80\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_34\n", + "  1.54\n", + "  0.131\n", + "  11.80\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_35\n", + "  0.211\n", + "  0.389\n", + "  0.54\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_36\n", + "  1.55\n", + "  2.55e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_37\n", + "  1.55\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_38\n", + "  1.34\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_44\n", + "  1.09\n", + "  0.0884\n", + "  12.29\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_45\n", + "  1.13\n", + "  0.139\n", + "  8.18\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_46\n", + "  0.524\n", + "  9.04e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_47\n", + "  0.811\n", + "  4.46e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_48\n", + "  1.17\n", + "  2.26e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_55\n", + "  1.22\n", + "  0.166\n", + "  7.37\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_56_57_58\n", + "  0.863\n", + "  1.52e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_66\n", + "  1.36\n", + "  0.299\n", + "  4.56\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_67\n", + "  1.29\n", + "  0.385\n", + "  3.35\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_68\n", + "  1.39\n", + "  0.755\n", + "  1.85\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_H_77\n", + "  2.43\n", + "  0.0802\n", + "  30.27\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_78\n", + "  1.21\n", + "  0.157\n", + "  7.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_88\n", + "  0.944\n", + "  0.218\n", + "  4.33\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_H_xxxxx\n", + " -3.46\n", + "  0.269\n", + " -12.86\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_11\n", + "  0.00775\n", + "  0.0439\n", + "  0.18\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_111\n", + "  0.158\n", + "  0.0551\n", + "  2.87\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_M_112_114\n", + "  0.297\n", + "  0.0900\n", + "  3.30\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_12\n", + " -0.109\n", + "  0.0595\n", + " -1.83\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_13\n", + "  0.195\n", + "  0.0448\n", + "  4.36\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_16\n", + "  0.158\n", + "  0.0607\n", + "  2.61\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_M_17\n", + "  0.0366\n", + "  0.0286\n", + "  1.28\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_18\n", + "  0.373\n", + "  0.0438\n", + "  8.53\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_22\n", + "  0.964\n", + "  0.0932\n", + "  10.34\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_23\n", + "  0.107\n", + "  0.0905\n", + "  1.18\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_26\n", + "  0.775\n", + "  0.129\n", + "  5.99\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_27\n", + "  0.0971\n", + "  0.0483\n", + "  2.01\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_M_28\n", + "  0.515\n", + "  0.0771\n", + "  6.68\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_33\n", + "  0.671\n", + "  0.0861\n", + "  7.79\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_36\n", + " -0.00210\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_37\n", + "  0.297\n", + "  3.78e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_38\n", + "  0.225\n", + "  9.09e-14\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_66\n", + "  0.0385\n", + "  0.239\n", + "  0.16\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_666\n", + " -0.673\n", + "  1.46\n", + " -0.46\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_67\n", + "  0.274\n", + "  0.359\n", + "  0.76\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_68\n", + "  0.691\n", + "  0.457\n", + "  1.51\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_77\n", + "  0.700\n", + "  0.0584\n", + "  11.99\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_78\n", + "  0.141\n", + "  0.0957\n", + "  1.48\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_M_88\n", + "  1.33\n", + "  0.0903\n", + "  14.70\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_M_xxxxx\n", + "  0.103\n", + "  0.0498\n", + "  2.07\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_N_11\n", + "  0.914\n", + "  0.0818\n", + "  11.17\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_112_114\n", + "  0.103\n", + "  0.173\n", + "  0.60\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_12\n", + "  0.465\n", + "  0.111\n", + "  4.21\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_124_122_144\n", + "  0.132\n", + "  0.142\n", + "  0.93\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_13\n", + "  0.216\n", + "  0.135\n", + "  1.60\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_14\n", + "  0.0331\n", + "  0.0719\n", + "  0.46\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_15\n", + "  0.0871\n", + "  0.0882\n", + "  0.99\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_16\n", + "  0.308\n", + "  0.222\n", + "  1.38\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_166\n", + "  0.434\n", + "  0.521\n", + "  0.83\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_17\n", + "  0.277\n", + "  0.0921\n", + "  3.01\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_N_18\n", + "  0.297\n", + "  0.0989\n", + "  3.01\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_N_22\n", + "  0.867\n", + "  0.169\n", + "  5.14\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_222_224_444\n", + " -1.34\n", + "  0.194\n", + " -6.91\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_23\n", + "  0.160\n", + "  0.200\n", + "  0.80\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_24\n", + "  0.596\n", + "  0.0737\n", + "  8.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_246_226_446\n", + " -0.872\n", + "  5.63\n", + " -0.15\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_25\n", + " -0.0263\n", + "  0.107\n", + " -0.25\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_26\n", + "  0.125\n", + "  0.436\n", + "  0.29\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_27\n", + "  0.733\n", + "  0.0964\n", + "  7.60\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_28\n", + "  1.05\n", + "  0.107\n", + "  9.85\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_33\n", + "  0.781\n", + "  0.165\n", + "  4.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_34\n", + " -0.0522\n", + "  0.0980\n", + " -0.53\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_35\n", + "  0.390\n", + "  0.151\n", + "  2.59\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_N_36\n", + "  1.62\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_37\n", + "  0.516\n", + "  1.11e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_38\n", + "  0.897\n", + "  8.33e-14\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_44\n", + "  0.302\n", + "  0.0996\n", + "  3.03\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_N_45\n", + " -0.0876\n", + "  0.0854\n", + " -1.03\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_46\n", + "  0.680\n", + "  3.06e-14\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_47\n", + "  0.565\n", + "  1.01e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_48\n", + "  1.16\n", + "  2.00e-13\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_55\n", + "  0.731\n", + "  0.114\n", + "  6.42\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_56_57_58\n", + "  0.292\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_66\n", + "  1.60\n", + "  0.492\n", + "  3.25\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_N_67\n", + "  1.29\n", + "  0.666\n", + "  1.93\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_68\n", + "  1.14\n", + "  0.897\n", + "  1.27\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_77\n", + "  1.27\n", + "  0.109\n", + "  11.65\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_78\n", + " -0.429\n", + "  0.549\n", + " -0.78\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_N_88\n", + "  0.645\n", + "  0.151\n", + "  4.26\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_N_xxxxx\n", + " -0.0469\n", + "  0.100\n", + " -0.47\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_UNAVAILABLE\n", + " -999.\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N\n", + "  0.138\n", + "  0.0415\n", + "  3.32\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_asc_M\n", + "  2.27\n", + "  0.177\n", + "  12.78\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_asc_N\n", + " -1.09\n", + "  0.445\n", + " -2.45\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H\n", + " -0.159\n", + "  0.188\n", + " -0.85\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H\n", + "  0.839\n", + "  0.168\n", + "  4.98\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_interaction_with_income_more_than_100k_H\n", + " -1.57\n", + "  0.241\n", + " -6.53\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_driving_age_child_who_is_in_school_interaction_with_less_than_20k_H\n", + "  1.46\n", + "  0.217\n", + "  6.75\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_asc_M\n", + "  2.13\n", + "  0.243\n", + "  8.76\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_asc_N\n", + "  0.651\n", + "  0.0476\n", + "  13.66\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_interaction_with_age_less_than_40_M\n", + "  0.210\n", + "  0.0388\n", + "  5.41\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_interaction_with_female_gender_M\n", + " -0.128\n", + "  0.0394\n", + " -3.24\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_interaction_with_fewer_cars_than_workers_H\n", + "  0.520\n", + "  0.0567\n", + "  9.16\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_interaction_with_income_less_than_20k_H\n", + "  0.406\n", + "  0.109\n", + "  3.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_full_time_worker_intraction_with_peak_accessibility_to_all_employment_M\n", + "  0.0656\n", + "  0.0203\n", + "  3.23\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_asc_N\n", + "  0.697\n", + "  0.354\n", + "  1.97\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_female_gender_M\n", + " -0.743\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_fewer_cars_than_workers_H\n", + "  0.977\n", + "  0.136\n", + "  7.19\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_income_between_50k_and_100k_H\n", + " -0.422\n", + "  0.0839\n", + " -5.03\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_income_more_than_100k_H\n", + " -0.721\n", + "  0.104\n", + " -6.94\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_more_cars_than_workers_M\n", + "  0.651\n", + "  7.21e-15\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_more_cars_than_workers_N\n", + "  0.783\n", + "  0.0828\n", + "  9.45\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_interaction_with_peak_accessibility_to_all_employment_M\n", + "  0.231\n", + "  1.73e-14\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_non_working_adult_retired_or_univ_student_interaction_with_off_peak_accessibility_to_all_employment_N\n", + "  0.0628\n", + "  0.0353\n", + "  1.78\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_asc_M\n", + " -0.903\n", + "  0.394\n", + " -2.29\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_asc_N\n", + "  0.677\n", + "  0.0943\n", + "  7.18\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_interaction_with_income_between_50k_and_100k_H\n", + " -0.470\n", + "  0.120\n", + " -3.93\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_interaction_with_income_less_than_20k_H\n", + "  0.274\n", + "  0.126\n", + "  2.18\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_interaction_with_income_more_than_100k_H\n", + " -0.492\n", + "  0.135\n", + " -3.64\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_interaction_with_income_more_than_100k_N\n", + "  0.334\n", + "  0.0733\n", + "  4.56\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_part_time_worker_interaction_with_peak_accessibility_to_all_employment_M\n", + "  0.218\n", + "  0.0323\n", + "  6.76\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_asc_M\n", + "  3.24\n", + "  0.104\n", + "  31.22\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_asc_N\n", + " -0.0676\n", + "  0.411\n", + " -0.16\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_M\n", + " -0.694\n", + "  0.112\n", + " -6.17\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_N\n", + " -0.607\n", + "  0.129\n", + " -4.70\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_interaction_with_age_6_to_9_M\n", + " -0.400\n", + "  0.0833\n", + " -4.80\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H\n", + "  0.674\n", + "  0.0861\n", + "  7.83\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_asc_M\n", + "  0.583\n", + "  0.107\n", + "  5.43\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_asc_N\n", + " -1.39\n", + "  0.416\n", + " -3.34\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_0_to_1_M\n", + " -0.393\n", + "  0.0920\n", + " -4.27\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_4_to_5_M\n", + "  0.669\n", + "  0.0978\n", + "  6.84\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_fewer_cars_than_workers_H\n", + "  0.243\n", + "  0.134\n", + "  1.81\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_between_50k_and_100k_H\n", + " -0.707\n", + "  0.128\n", + " -5.51\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_more_than_100k_H\n", + " -0.695\n", + "  0.131\n", + " -5.31\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_more_cars_than_workers_N\n", + "  0.685\n", + "  0.0858\n", + "  7.99\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_retired_asc_N\n", + "  0.434\n", + "  0.359\n", + "  1.21\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_age_more_than_80_H\n", + "  0.730\n", + "  0.0826\n", + "  8.84\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_female_M\n", + "  0.477\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_fewer_cars_than_workers_H\n", + "  0.650\n", + "  0.218\n", + "  2.98\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_income_less_than_20k_H\n", + "  0.476\n", + "  0.0845\n", + "  5.63\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_more_cars_than_workers_M\n", + "  2.99\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_more_cars_than_workers_N\n", + "  1.02\n", + "  0.0885\n", + "  11.48\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_retired_interaction_with_peak_accessibility_to_all_employment_M\n", + "  0.279\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_university_student_asc_M\n", + "  2.17\n", + "  0.0864\n", + "  25.12\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_university_student_asc_N\n", + "  0.489\n", + "  0.356\n", + "  1.38\n", + " \n", + " 0.00\n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.parameter_summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "TojXWivZsx7M" + }, + "source": [ + "# Output Estimation Results" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "from activitysim.estimation.larch import update_coefficients\n", + "coefficients = update_coefficients(model, data)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "result_dir = data.edb_directory/'estimated'" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "os.makedirs(result_dir, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Write the re-estimated coefficients file" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "coefficients.reset_index().to_csv(\n", + " result_dir/\"cdap_coefficients_revised.csv\", \n", + " index=False,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Write the model estimation report, including coefficient t-statistic and log likelihood" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "for hh_size, submodel in enumerate(model, 1):\n", + " if hh_size > 3: \n", + " break \n", + " # the largest HH sizes have massive model reports that \n", + " # Excel doesn't handle well; review them in Jupyter \n", + " # instead if you are interested\n", + " submodel.to_xlsx(\n", + " result_dir/f\"cdap_model_estimation_hhsize{hh_size}.xlsx\", \n", + " data_statistics=False,\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Next Steps\n", + "\n", + "The final step is to either manually or automatically copy the `cdap_coefficients.csv_revised.csv` file to the configs folder, rename it to `cdap_coefficients.csv.csv`, and run ActivitySim in simulation mode." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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coefficient_namevalueconstrain
0coef_UNAVAILABLE-999.000000T
1coef_full_time_worker_asc_M2.126748F
2coef_full_time_worker_asc_N0.650847F
3coef_part_time_worker_asc_M-0.902594F
4coef_part_time_worker_asc_N0.677144F
............
161coef_N_xxxx-1.346000F
162coef_H_xxxx-3.733000F
163coef_M_xxxxx0.103269F
164coef_N_xxxxx-0.046852F
165coef_H_xxxxx-3.460857F
\n", + "

166 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " coefficient_name value constrain\n", + "0 coef_UNAVAILABLE -999.000000 T\n", + "1 coef_full_time_worker_asc_M 2.126748 F\n", + "2 coef_full_time_worker_asc_N 0.650847 F\n", + "3 coef_part_time_worker_asc_M -0.902594 F\n", + "4 coef_part_time_worker_asc_N 0.677144 F\n", + ".. ... ... ...\n", + "161 coef_N_xxxx -1.346000 F\n", + "162 coef_H_xxxx -3.733000 F\n", + "163 coef_M_xxxxx 0.103269 F\n", + "164 coef_N_xxxxx -0.046852 F\n", + "165 coef_H_xxxxx -3.460857 F\n", + "\n", + "[166 rows x 3 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.read_csv(result_dir/\"cdap_coefficients_revised.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Modify Spec\n", + "\n", + "Here, we will demonstrate the process of re-estimating the CDAP model with a modified\n", + "SPEC file. This does *not* require re-running ActivitySim, it just requires\n", + "changing the SPEC file and re-running the Larch estimation only.\n", + "\n", + "The `backup` command we ran earlier made a backup copy of the\n", + "original spec file in the EDB directory.\n", + "This was not strictly necessary, but since we're about to modify it and\n", + "we may want undo our changes, it can be handy to keep a copy of the\n", + "original spec file around. Since we already have a backup copy, we'll make some \n", + "changes directly in the SPEC file. As an example here, we're going\n", + "to re-write the household income section of the file, to change the piecewise \n", + "linear utility from 3 segments to 4. We'll move the breakpoints and rename some\n", + "coefficients to accomodate the change. As above, for this demo we are editing \n", + "the SPEC file using Python code to make the changes, but a user does not need\n", + "to change the file using Python; any CSV editor (e.g. Excel) can be used. " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "with open(data.edb_directory / \"cdap_INDIV_AND_HHSIZE1_SPEC.csv\") as f:\n", + " raw_spec = f.read()\n", + "\n", + "repl_lines = \"\"\"Full-time worker interaction with income less than $20k,(ptype == 1) & (income_in_thousands < 20),,,coef_full_time_worker_interaction_with_income_less_than_20k_H\n", + "\"\"\"\n", + "\n", + "new_lines = \"\"\"Full-time worker interaction with income less than $35k,(ptype == 1) & (income_in_thousands < 35),,,coef_full_time_worker_interaction_with_income_less_than_35k_H\n", + "Full-time worker interaction with income between $35k and $100k,(ptype == 1) & (income_in_thousands >= 35) & (income_in_thousands <= 100),,,coef_full_time_worker_interaction_with_income_between_35k_and_100k_H\n", + "\"\"\"\n", + "\n", + "raw_spec = raw_spec.replace(repl_lines, new_lines)\n", + "\n", + "with open(data.edb_directory / \"cdap_INDIV_AND_HHSIZE1_SPEC.csv\", \"w\") as f:\n", + " f.write(raw_spec)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Unlike other components, the CDAP estimation process is built fundamentally against \n", + "a re-evaluation of utility functions, instead of using pre-computed values in the\n", + "EDB. Thus, the user does not need to worry about the \"Label\" column of the utility\n", + "specification file (which in this example does not even exist.) \n", + "\n", + "Estimation of the revised model can be completed using the same process as the \n", + "original estimation." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading output-est-mode/estimation_data_bundle/cdap/cdap_model_settings.yaml\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/final_households.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/final_persons.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_coefficients.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_interaction_coefficients.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_joint_tour_coefficients.csv\n", + "Including joint tour utility?: False\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_INDIV_AND_HHSIZE1_SPEC.csv\n", + "Reading /Users/jpn/Git/est-mode/activitysim/activitysim/examples/example_estimation/notebooks/test-estimation-data/activitysim-prototype-mtc-extended/output-est-mode/estimation_data_bundle/cdap/cdap_values_combined.parquet\n" + ] + } + ], + "source": [ + "model2, data2 = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

Iteration 138 [Optimization terminated successfully]

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Best LL = -28225.10715069874

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valuebestinitvalueminimummaximumnullvalueholdfast
param_name
-999.0-999.000000-999.000000-999.000000-999.0-999.00.01
coef_H_111.4550121.4550121.626000-infinf0.00
coef_H_120.9496080.9496080.740700-infinf0.00
coef_H_124_122_1440.3674960.3674960.957300-infinf0.00
coef_H_126_146-0.009021-0.0090210.293900-infinf0.00
........................
coef_retired_interaction_with_more_cars_than_workers_M2.9920002.9920002.992000-infinf0.00
coef_retired_interaction_with_more_cars_than_workers_N1.0128061.0128061.056000-infinf0.00
coef_retired_interaction_with_peak_accessibility_to_all_employment_M0.2792000.2792000.279200-infinf0.00
coef_university_student_asc_M2.1683682.1683682.353595-infinf0.00
coef_university_student_asc_N0.4898480.4898480.609710-infinf0.00
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162 rows × 7 columns

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modelmodel2
Number of CasesAggregate20000.00000020000.000000
Log Likelihood at ConvergenceAggregate-28223.515541-28225.107151
Per Case-1.411176-1.411255
Log Likelihood at Null ParametersAggregate-51107.531825-51107.531825
Per Case-2.555377-2.555377
Rho Squared w.r.t. Null ParametersAggregate0.4477620.447731
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" + ], + "text/plain": [ + " model model2\n", + "Number of Cases Aggregate 20000.000000 20000.000000\n", + "Log Likelihood at Convergence Aggregate -28223.515541 -28225.107151\n", + " Per Case -1.411176 -1.411255\n", + "Log Likelihood at Null Parameters Aggregate -51107.531825 -51107.531825\n", + " Per Case -2.555377 -2.555377\n", + "Rho Squared w.r.t. Null Parameters Aggregate 0.447762 0.447731" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.estimation_statistics_raw(),\n", + " \"model2\": model2.estimation_statistics_raw(),\n", + " }, axis=1).fillna(\"\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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modelmodel2
ValueStd Errt StatSignifNull ValueValueStd Errt StatSignifNull Value
Parameter
-999.0-999.0.00NA0.0-999.0.00NA0.0
coef_H_111.450.061423.55***0.01.460.062223.40***0.0
coef_H_120.9550.1327.21***0.00.9500.1327.18***0.0
coef_H_124_122_1440.3540.1532.31*0.00.3670.1532.40*0.0
coef_H_126_146-0.01340.336-0.040.0-0.009020.336-0.030.0
coef_H_131.200.1309.21***0.01.200.1319.17***0.0
coef_H_140.9980.090311.05***0.00.9910.090410.96***0.0
coef_H_151.180.092212.76***0.01.180.092112.86***0.0
coef_H_161.850.10218.08***0.01.850.10317.98***0.0
coef_H_171.340.055724.07***0.01.340.055824.04***0.0
coef_H_180.8030.1097.36***0.00.8080.1097.42***0.0
coef_H_221.660.2157.76***0.01.660.2157.73***0.0
coef_H_222_224_2440.07470.2250.330.00.08040.2250.360.0
coef_H_226_246_4460.07450.6830.110.00.07260.6870.110.0
coef_H_231.680.2098.02***0.01.680.2098.03***0.0
coef_H_241.200.1657.27***0.01.200.1657.24***0.0
coef_H_25-0.08110.278-0.290.0-0.07370.277-0.270.0
coef_H_262.830.23911.83***0.02.840.23911.86***0.0
coef_H_266_4661.240.6501.910.01.250.6521.910.0
coef_H_270.8030.1585.08***0.00.8040.1585.07***0.0
coef_H_280.9410.1875.05***0.00.9460.1865.08***0.0
coef_H_330.3590.4480.800.00.3660.4480.820.0
coef_H_341.540.13111.80***0.01.540.13111.75***0.0
coef_H_350.2110.3890.540.00.2130.3890.550.0
coef_H_361.552.55e-13BIG***0.01.55NANA0.0
coef_H_371.55NANA0.01.55NANA0.0
coef_H_381.34NANA0.01.344.18e-13BIG***0.0
coef_H_441.090.088412.29***0.01.090.088312.30***0.0
coef_H_451.130.1398.18***0.01.130.1398.16***0.0
coef_H_460.5249.04e-13BIG***0.00.5243.12e-13BIG***0.0
coef_H_470.8114.46e-13BIG***0.00.811NANA0.0
coef_H_481.172.26e-13BIG***0.01.176.30e-13BIG***0.0
coef_H_551.220.1667.37***0.01.220.1657.39***0.0
coef_H_56_57_580.8631.52e-13BIG***0.00.863NANA0.0
coef_H_661.360.2994.56***0.01.370.2984.60***0.0
coef_H_671.290.3853.35***0.01.280.3863.32***0.0
coef_H_681.390.7551.850.01.390.7561.830.0
coef_H_772.430.080230.27***0.02.420.080430.16***0.0
coef_H_781.210.1577.72***0.01.210.1577.69***0.0
coef_H_880.9440.2184.33***0.00.9560.2174.40***0.0
coef_H_xxxxx-3.460.269-12.86***0.0-3.470.269-12.88***0.0
coef_M_110.007750.04390.180.09.36e-050.04430.000.0
coef_M_1110.1580.05512.87**0.00.1640.05522.96**0.0
coef_M_112_1140.2970.09003.30***0.00.2950.09003.28**0.0
coef_M_12-0.1090.0595-1.830.0-0.1090.0595-1.830.0
coef_M_130.1950.04484.36***0.00.1970.04484.39***0.0
coef_M_160.1580.06072.61**0.00.1590.06072.63**0.0
coef_M_170.03660.02861.280.00.03720.02861.300.0
coef_M_180.3730.04388.53***0.00.3720.04388.49***0.0
coef_M_220.9640.093210.34***0.00.9660.093310.36***0.0
coef_M_230.1070.09051.180.00.1070.09051.180.0
coef_M_260.7750.1295.99***0.00.7760.1296.00***0.0
coef_M_270.09710.04832.01*0.00.09430.04821.950.0
coef_M_280.5150.07716.68***0.00.5150.07716.68***0.0
coef_M_330.6710.08617.79***0.00.6730.08627.81***0.0
coef_M_36-0.00210NANA0.0-0.00210NANA0.0
coef_M_370.2973.78e-13BIG***0.00.2973.67e-13BIG***0.0
coef_M_380.2259.09e-14BIG***0.00.2254.32e-13BIG***0.0
coef_M_660.03850.2390.160.00.04220.2400.180.0
coef_M_666-0.6731.46-0.460.0-0.6711.46-0.460.0
coef_M_670.2740.3590.760.00.2880.3600.800.0
coef_M_680.6910.4571.510.00.6950.4571.520.0
coef_M_770.7000.058411.99***0.00.7030.058412.03***0.0
coef_M_780.1410.09571.480.00.1410.09571.480.0
coef_M_881.330.090314.70***0.01.330.090314.70***0.0
coef_M_xxxxx0.1030.04982.07*0.00.1050.04982.10*0.0
coef_N_110.9140.081811.17***0.00.9150.081611.21***0.0
coef_N_112_1140.1030.1730.600.00.1040.1740.600.0
coef_N_120.4650.1114.21***0.00.4670.1114.22***0.0
coef_N_124_122_1440.1320.1420.930.00.1280.1430.900.0
coef_N_130.2160.1351.600.00.2110.1351.570.0
coef_N_140.03310.07190.460.00.02710.07200.380.0
coef_N_150.08710.08820.990.00.08940.08811.010.0
coef_N_160.3080.2221.380.00.3090.2231.390.0
coef_N_1660.4340.5210.830.00.4330.5250.820.0
coef_N_170.2770.09213.01**0.00.2800.09193.04**0.0
coef_N_180.2970.09893.01**0.00.2990.09893.02**0.0
coef_N_220.8670.1695.14***0.00.8670.1695.14***0.0
coef_N_222_224_444-1.340.194-6.91***0.0-1.350.195-6.91***0.0
coef_N_230.1600.2000.800.00.1650.2000.830.0
coef_N_240.5960.07378.09***0.00.5950.07378.07***0.0
coef_N_246_226_446-0.8725.63-0.150.0-0.8725.62-0.160.0
coef_N_25-0.02630.107-0.250.0-0.02750.107-0.260.0
coef_N_260.1250.4360.290.00.1260.4360.290.0
coef_N_270.7330.09647.60***0.00.7340.09617.64***0.0
coef_N_281.050.1079.85***0.01.050.1079.85***0.0
coef_N_330.7810.1654.72***0.00.7860.1654.77***0.0
coef_N_34-0.05220.0980-0.530.0-0.05110.0979-0.520.0
coef_N_350.3900.1512.59**0.00.3900.1502.59**0.0
coef_N_361.62NANA0.01.62NANA0.0
coef_N_370.5161.11e-13BIG***0.00.516NANA0.0
coef_N_380.8978.33e-14BIG***0.00.8972.96e-13BIG***0.0
coef_N_440.3020.09963.03**0.00.3000.09963.01**0.0
coef_N_45-0.08760.0854-1.030.0-0.09020.0854-1.060.0
coef_N_460.6803.06e-14BIG***0.00.6802.86e-13BIG***0.0
coef_N_470.5651.01e-13BIG***0.00.5652.67e-13BIG***0.0
coef_N_481.162.00e-13BIG***0.01.162.34e-13BIG***0.0
coef_N_550.7310.1146.42***0.00.7290.1146.41***0.0
coef_N_56_57_580.292NANA0.00.292NANA0.0
coef_N_661.600.4923.25**0.01.600.4953.23**0.0
coef_N_671.290.6661.930.01.290.6731.920.0
coef_N_681.140.8971.270.01.140.8991.270.0
coef_N_771.270.10911.65***0.01.280.10911.68***0.0
coef_N_78-0.4290.549-0.780.0-0.4210.546-0.770.0
coef_N_880.6450.1514.26***0.00.6450.1514.26***0.0
coef_N_xxxxx-0.04690.100-0.470.0-0.04460.100-0.440.0
coef_UNAVAILABLE-999.0.00NA0.0-999.0.00NA0.0
coef_child_who_is_in_school_or_too_young_for_school_interaction_with_off_peak_accessibility_to_retail_N0.1380.04153.32***0.00.1390.04163.35***0.0
coef_driving_age_child_who_is_in_school_asc_M2.270.17712.78***0.02.300.17812.94***0.0
coef_driving_age_child_who_is_in_school_asc_N-1.090.445-2.45*0.0-1.060.445-2.39*0.0
coef_driving_age_child_who_is_in_school_interaction_income_between_50k_and_100k_H-0.1590.188-0.850.0-0.1320.188-0.700.0
coef_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H0.8390.1684.98***0.00.8360.1684.96***0.0
coef_driving_age_child_who_is_in_school_interaction_with_income_more_than_100k_H-1.570.241-6.53***0.0-1.510.242-6.24***0.0
coef_driving_age_child_who_is_in_school_interaction_with_less_than_20k_H1.460.2176.75***0.01.530.2167.05***0.0
coef_full_time_worker_asc_M2.130.2438.76***0.02.180.2468.88***0.0
coef_full_time_worker_asc_N0.6510.047613.66***0.00.6930.057412.07***0.0
coef_full_time_worker_interaction_with_age_less_than_40_M0.2100.03885.41***0.00.2160.03895.54***0.0
coef_full_time_worker_interaction_with_female_gender_M-0.1280.0394-3.24**0.0-0.1240.0394-3.15**0.0
coef_full_time_worker_interaction_with_fewer_cars_than_workers_H0.5200.05679.16***0.00.5280.05689.29***0.0
coef_full_time_worker_interaction_with_income_less_than_20k_H0.4060.1093.72***0.0
coef_full_time_worker_intraction_with_peak_accessibility_to_all_employment_M0.06560.02033.23**0.00.06420.02033.16**0.0
coef_non_working_adult_asc_N0.6970.3541.97*0.00.6980.3541.97*0.0
coef_non_working_adult_interaction_with_female_gender_M-0.743NANA0.0-0.7433.86e-14-BIG***0.0
coef_non_working_adult_interaction_with_fewer_cars_than_workers_H0.9770.1367.19***0.00.9780.1367.19***0.0
coef_non_working_adult_interaction_with_income_between_50k_and_100k_H-0.4220.0839-5.03***0.0-0.4240.0839-5.05***0.0
coef_non_working_adult_interaction_with_income_more_than_100k_H-0.7210.104-6.94***0.0-0.7160.104-6.89***0.0
coef_non_working_adult_interaction_with_more_cars_than_workers_M0.6517.21e-15BIG***0.00.651NANA0.0
coef_non_working_adult_interaction_with_more_cars_than_workers_N0.7830.08289.45***0.00.7810.08289.43***0.0
coef_non_working_adult_interaction_with_peak_accessibility_to_all_employment_M0.2311.73e-14BIG***0.00.2318.76e-15BIG***0.0
coef_non_working_adult_retired_or_univ_student_interaction_with_off_peak_accessibility_to_all_employment_N0.06280.03531.780.00.06290.03521.790.0
coef_part_time_worker_asc_M-0.9030.394-2.29*0.0-0.9000.394-2.29*0.0
coef_part_time_worker_asc_N0.6770.09437.18***0.00.6790.09447.19***0.0
coef_part_time_worker_interaction_with_income_between_50k_and_100k_H-0.4700.120-3.93***0.0-0.4710.120-3.93***0.0
coef_part_time_worker_interaction_with_income_less_than_20k_H0.2740.1262.18*0.00.2780.1262.21*0.0
coef_part_time_worker_interaction_with_income_more_than_100k_H-0.4920.135-3.64***0.0-0.4880.135-3.61***0.0
coef_part_time_worker_interaction_with_income_more_than_100k_N0.3340.07334.56***0.00.3340.07344.55***0.0
coef_part_time_worker_interaction_with_peak_accessibility_to_all_employment_M0.2180.03236.76***0.00.2180.03236.75***0.0
coef_pre_driving_age_child_who_is_in_school_asc_M3.240.10431.22***0.03.240.10431.19***0.0
coef_pre_driving_age_child_who_is_in_school_asc_N-0.06760.411-0.160.0-0.07780.412-0.190.0
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_M-0.6940.112-6.17***0.0-0.6970.112-6.19***0.0
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_13_to_15_N-0.6070.129-4.70***0.0-0.6050.129-4.69***0.0
coef_pre_driving_age_child_who_is_in_school_interaction_with_age_6_to_9_M-0.4000.0833-4.80***0.0-0.3980.0834-4.77***0.0
coef_pre_driving_age_child_who_is_in_school_interaction_with_fewer_cars_than_workers_H0.6740.08617.83***0.00.6760.08627.84***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_asc_M0.5830.1075.43***0.00.5870.1075.47***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_asc_N-1.390.416-3.34***0.0-1.400.417-3.36***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_0_to_1_M-0.3930.0920-4.27***0.0-0.3920.0920-4.27***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_age_4_to_5_M0.6690.09786.84***0.00.6700.09786.85***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_fewer_cars_than_workers_H0.2430.1341.810.00.2430.1341.820.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_between_50k_and_100k_H-0.7070.128-5.51***0.0-0.7080.128-5.52***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_income_more_than_100k_H-0.6950.131-5.31***0.0-0.6880.131-5.26***0.0
coef_pre_driving_age_child_who_is_too_young_for_school_interaction_with_more_cars_than_workers_N0.6850.08587.99***0.00.6860.08587.99***0.0
coef_retired_asc_N0.4340.3591.210.00.4390.3591.220.0
coef_retired_interaction_with_age_more_than_80_H0.7300.08268.84***0.00.7320.08258.87***0.0
coef_retired_interaction_with_female_M0.4770.00NA0.00.4770.00NA0.0
coef_retired_interaction_with_fewer_cars_than_workers_H0.6500.2182.98**0.00.6490.2182.97**0.0
coef_retired_interaction_with_income_less_than_20k_H0.4760.08455.63***0.00.4830.08445.72***0.0
coef_retired_interaction_with_more_cars_than_workers_M2.990.00NA0.02.990.00NA0.0
coef_retired_interaction_with_more_cars_than_workers_N1.020.088511.48***0.01.010.088411.45***0.0
coef_retired_interaction_with_peak_accessibility_to_all_employment_M0.2790.00NA0.00.2790.00NA0.0
coef_university_student_asc_M2.170.086425.12***0.02.170.086425.10***0.0
coef_university_student_asc_N0.4890.3561.380.00.4900.3561.380.0
coef_full_time_worker_interaction_with_income_between_35k_and_100k_H0.05410.05421.000.0
coef_full_time_worker_interaction_with_income_less_than_35k_H0.2450.07953.08**0.0
\n", + "
" + ], + "text/plain": [ + " model \\\n", + " Value Std Err \n", + "Parameter \n", + "-999.0 -999.  0.00 \n", + "coef_H_11  1.45  0.0614 \n", + "coef_H_12  0.955  0.132 \n", + "coef_H_124_122_144  0.354  0.153 \n", + "coef_H_126_146 -0.0134  0.336 \n", + "coef_H_13  1.20  0.130 \n", + "coef_H_14  0.998  0.0903 \n", + "coef_H_15  1.18  0.0922 \n", + "coef_H_16  1.85  0.102 \n", + "coef_H_17  1.34  0.0557 \n", + "coef_H_18  0.803  0.109 \n", + "coef_H_22  1.66  0.215 \n", + "coef_H_222_224_244  0.0747  0.225 \n", + "coef_H_226_246_446  0.0745  0.683 \n", + "coef_H_23  1.68  0.209 \n", + "coef_H_24  1.20  0.165 \n", + "coef_H_25 -0.0811  0.278 \n", + "coef_H_26  2.83  0.239 \n", + "coef_H_266_466  1.24  0.650 \n", + "coef_H_27  0.803  0.158 \n", + "coef_H_28  0.941  0.187 \n", + "coef_H_33  0.359  0.448 \n", + "coef_H_34  1.54  0.131 \n", + "coef_H_35  0.211  0.389 \n", + "coef_H_36  1.55  2.55e-13 \n", + "coef_H_37  1.55  NA \n", + "coef_H_38  1.34  NA \n", + "coef_H_44  1.09  0.0884 \n", + "coef_H_45  1.13  0.139 \n", + "coef_H_46  0.524  9.04e-13 \n", + "coef_H_47  0.811  4.46e-13 \n", + "coef_H_48  1.17  2.26e-13 \n", + "coef_H_55  1.22  0.166 \n", + "coef_H_56_57_58  0.863  1.52e-13 \n", + "coef_H_66  1.36  0.299 \n", + "coef_H_67  1.29  0.385 \n", + "coef_H_68  1.39  0.755 \n", + "coef_H_77  2.43  0.0802 \n", + "coef_H_78  1.21  0.157 \n", + "coef_H_88  0.944  0.218 \n", + "coef_H_xxxxx -3.46  0.269 \n", + "coef_M_11  0.00775  0.0439 \n", + "coef_M_111  0.158  0.0551 \n", + "coef_M_112_114  0.297  0.0900 \n", + "coef_M_12 -0.109  0.0595 \n", + "coef_M_13  0.195  0.0448 \n", + "coef_M_16  0.158  0.0607 \n", + "coef_M_17  0.0366  0.0286 \n", + "coef_M_18  0.373  0.0438 \n", + "coef_M_22  0.964  0.0932 \n", + "coef_M_23  0.107  0.0905 \n", + "coef_M_26  0.775  0.129 \n", + "coef_M_27  0.0971  0.0483 \n", + "coef_M_28  0.515  0.0771 \n", + "coef_M_33  0.671  0.0861 \n", + "coef_M_36 -0.00210  NA \n", + "coef_M_37  0.297  3.78e-13 \n", + "coef_M_38  0.225  9.09e-14 \n", + "coef_M_66  0.0385  0.239 \n", + "coef_M_666 -0.673  1.46 \n", + "coef_M_67  0.274  0.359 \n", + "coef_M_68  0.691  0.457 \n", + "coef_M_77  0.700  0.0584 \n", + "coef_M_78  0.141  0.0957 \n", + "coef_M_88  1.33  0.0903 \n", + "coef_M_xxxxx  0.103  0.0498 \n", + "coef_N_11  0.914  0.0818 \n", + "coef_N_112_114  0.103  0.173 \n", + "coef_N_12  0.465  0.111 \n", + "coef_N_124_122_144  0.132  0.142 \n", + "coef_N_13  0.216  0.135 \n", + "coef_N_14  0.0331  0.0719 \n", + "coef_N_15  0.0871  0.0882 \n", + "coef_N_16  0.308  0.222 \n", + "coef_N_166  0.434  0.521 \n", + "coef_N_17  0.277  0.0921 \n", + "coef_N_18  0.297  0.0989 \n", + "coef_N_22  0.867  0.169 \n", + "coef_N_222_224_444 -1.34  0.194 \n", + "coef_N_23  0.160  0.200 \n", + "coef_N_24  0.596  0.0737 \n", + "coef_N_246_226_446 -0.872  5.63 \n", + "coef_N_25 -0.0263  0.107 \n", + "coef_N_26  0.125  0.436 \n", + "coef_N_27  0.733  0.0964 \n", + "coef_N_28  1.05  0.107 \n", + "coef_N_33  0.781  0.165 \n", + "coef_N_34 -0.0522  0.0980 \n", + "coef_N_35  0.390  0.151 \n", + "coef_N_36  1.62  NA \n", + "coef_N_37  0.516  1.11e-13 \n", + "coef_N_38  0.897  8.33e-14 \n", + "coef_N_44  0.302  0.0996 \n", + "coef_N_45 -0.0876  0.0854 \n", + "coef_N_46  0.680  3.06e-14 \n", + "coef_N_47  0.565  1.01e-13 \n", + "coef_N_48  1.16  2.00e-13 \n", + "coef_N_55  0.731  0.114 \n", + "coef_N_56_57_58  0.292  NA \n", + "coef_N_66  1.60  0.492 \n", + "coef_N_67  1.29  0.666 \n", + "coef_N_68  1.14  0.897 \n", + "coef_N_77  1.27  0.109 \n", + "coef_N_78 -0.429  0.549 \n", + "coef_N_88  0.645  0.151 \n", + "coef_N_xxxxx -0.0469  0.100 \n", + "coef_UNAVAILABLE -999.  0.00 \n", + "coef_child_who_is_in_school_or_too_young_for_sc...  0.138  0.0415 \n", + "coef_driving_age_child_who_is_in_school_asc_M  2.27  0.177 \n", + "coef_driving_age_child_who_is_in_school_asc_N -1.09  0.445 \n", + "coef_driving_age_child_who_is_in_school_interac... -0.159  0.188 \n", + "coef_driving_age_child_who_is_in_school_interac...  0.839  0.168 \n", + "coef_driving_age_child_who_is_in_school_interac... -1.57  0.241 \n", + "coef_driving_age_child_who_is_in_school_interac...  1.46  0.217 \n", + "coef_full_time_worker_asc_M  2.13  0.243 \n", + "coef_full_time_worker_asc_N  0.651  0.0476 \n", + "coef_full_time_worker_interaction_with_age_less...  0.210  0.0388 \n", + "coef_full_time_worker_interaction_with_female_g... -0.128  0.0394 \n", + "coef_full_time_worker_interaction_with_fewer_ca...  0.520  0.0567 \n", + "coef_full_time_worker_interaction_with_income_l...  0.406  0.109 \n", + "coef_full_time_worker_intraction_with_peak_acce...  0.0656  0.0203 \n", + "coef_non_working_adult_asc_N  0.697  0.354 \n", + "coef_non_working_adult_interaction_with_female_... -0.743  NA \n", + "coef_non_working_adult_interaction_with_fewer_c...  0.977  0.136 \n", + "coef_non_working_adult_interaction_with_income_... -0.422  0.0839 \n", + "coef_non_working_adult_interaction_with_income_... -0.721  0.104 \n", + "coef_non_working_adult_interaction_with_more_ca...  0.651  7.21e-15 \n", + "coef_non_working_adult_interaction_with_more_ca...  0.783  0.0828 \n", + "coef_non_working_adult_interaction_with_peak_ac...  0.231  1.73e-14 \n", + "coef_non_working_adult_retired_or_univ_student_...  0.0628  0.0353 \n", + "coef_part_time_worker_asc_M -0.903  0.394 \n", + "coef_part_time_worker_asc_N  0.677  0.0943 \n", + "coef_part_time_worker_interaction_with_income_b... -0.470  0.120 \n", + "coef_part_time_worker_interaction_with_income_l...  0.274  0.126 \n", + "coef_part_time_worker_interaction_with_income_m... -0.492  0.135 \n", + "coef_part_time_worker_interaction_with_income_m...  0.334  0.0733 \n", + "coef_part_time_worker_interaction_with_peak_acc...  0.218  0.0323 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_M  3.24  0.104 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_N -0.0676  0.411 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.694  0.112 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.607  0.129 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.400  0.0833 \n", + "coef_pre_driving_age_child_who_is_in_school_int...  0.674  0.0861 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.583  0.107 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -1.39  0.416 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.393  0.0920 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.669  0.0978 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.243  0.134 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.707  0.128 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.695  0.131 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.685  0.0858 \n", + "coef_retired_asc_N  0.434  0.359 \n", + "coef_retired_interaction_with_age_more_than_80_H  0.730  0.0826 \n", + "coef_retired_interaction_with_female_M  0.477  0.00 \n", + "coef_retired_interaction_with_fewer_cars_than_w...  0.650  0.218 \n", + "coef_retired_interaction_with_income_less_than_...  0.476  0.0845 \n", + "coef_retired_interaction_with_more_cars_than_wo...  2.99  0.00 \n", + "coef_retired_interaction_with_more_cars_than_wo...  1.02  0.0885 \n", + "coef_retired_interaction_with_peak_accessibilit...  0.279  0.00 \n", + "coef_university_student_asc_M  2.17  0.0864 \n", + "coef_university_student_asc_N  0.489  0.356 \n", + "coef_full_time_worker_interaction_with_income_b... \n", + "coef_full_time_worker_interaction_with_income_l... \n", + "\n", + " \\\n", + " t Stat Signif Null Value \n", + "Parameter \n", + "-999.0  NA 0.0 \n", + "coef_H_11  23.55 *** 0.0 \n", + "coef_H_12  7.21 *** 0.0 \n", + "coef_H_124_122_144  2.31 * 0.0 \n", + "coef_H_126_146 -0.04 0.0 \n", + "coef_H_13  9.21 *** 0.0 \n", + "coef_H_14  11.05 *** 0.0 \n", + "coef_H_15  12.76 *** 0.0 \n", + "coef_H_16  18.08 *** 0.0 \n", + "coef_H_17  24.07 *** 0.0 \n", + "coef_H_18  7.36 *** 0.0 \n", + "coef_H_22  7.76 *** 0.0 \n", + "coef_H_222_224_244  0.33 0.0 \n", + "coef_H_226_246_446  0.11 0.0 \n", + "coef_H_23  8.02 *** 0.0 \n", + "coef_H_24  7.27 *** 0.0 \n", + "coef_H_25 -0.29 0.0 \n", + "coef_H_26  11.83 *** 0.0 \n", + "coef_H_266_466  1.91 0.0 \n", + "coef_H_27  5.08 *** 0.0 \n", + "coef_H_28  5.05 *** 0.0 \n", + "coef_H_33  0.80 0.0 \n", + "coef_H_34  11.80 *** 0.0 \n", + "coef_H_35  0.54 0.0 \n", + "coef_H_36  BIG *** 0.0 \n", + "coef_H_37  NA 0.0 \n", + "coef_H_38  NA 0.0 \n", + "coef_H_44  12.29 *** 0.0 \n", + "coef_H_45  8.18 *** 0.0 \n", + "coef_H_46  BIG *** 0.0 \n", + "coef_H_47  BIG *** 0.0 \n", + "coef_H_48  BIG *** 0.0 \n", + "coef_H_55  7.37 *** 0.0 \n", + "coef_H_56_57_58  BIG *** 0.0 \n", + "coef_H_66  4.56 *** 0.0 \n", + "coef_H_67  3.35 *** 0.0 \n", + "coef_H_68  1.85 0.0 \n", + "coef_H_77  30.27 *** 0.0 \n", + "coef_H_78  7.72 *** 0.0 \n", + "coef_H_88  4.33 *** 0.0 \n", + "coef_H_xxxxx -12.86 *** 0.0 \n", + "coef_M_11  0.18 0.0 \n", + "coef_M_111  2.87 ** 0.0 \n", + "coef_M_112_114  3.30 *** 0.0 \n", + "coef_M_12 -1.83 0.0 \n", + "coef_M_13  4.36 *** 0.0 \n", + "coef_M_16  2.61 ** 0.0 \n", + "coef_M_17  1.28 0.0 \n", + "coef_M_18  8.53 *** 0.0 \n", + "coef_M_22  10.34 *** 0.0 \n", + "coef_M_23  1.18 0.0 \n", + "coef_M_26  5.99 *** 0.0 \n", + "coef_M_27  2.01 * 0.0 \n", + "coef_M_28  6.68 *** 0.0 \n", + "coef_M_33  7.79 *** 0.0 \n", + "coef_M_36  NA 0.0 \n", + "coef_M_37  BIG *** 0.0 \n", + "coef_M_38  BIG *** 0.0 \n", + "coef_M_66  0.16 0.0 \n", + "coef_M_666 -0.46 0.0 \n", + "coef_M_67  0.76 0.0 \n", + "coef_M_68  1.51 0.0 \n", + "coef_M_77  11.99 *** 0.0 \n", + "coef_M_78  1.48 0.0 \n", + "coef_M_88  14.70 *** 0.0 \n", + "coef_M_xxxxx  2.07 * 0.0 \n", + "coef_N_11  11.17 *** 0.0 \n", + "coef_N_112_114  0.60 0.0 \n", + "coef_N_12  4.21 *** 0.0 \n", + "coef_N_124_122_144  0.93 0.0 \n", + "coef_N_13  1.60 0.0 \n", + "coef_N_14  0.46 0.0 \n", + "coef_N_15  0.99 0.0 \n", + "coef_N_16  1.38 0.0 \n", + "coef_N_166  0.83 0.0 \n", + "coef_N_17  3.01 ** 0.0 \n", + "coef_N_18  3.01 ** 0.0 \n", + "coef_N_22  5.14 *** 0.0 \n", + "coef_N_222_224_444 -6.91 *** 0.0 \n", + "coef_N_23  0.80 0.0 \n", + "coef_N_24  8.09 *** 0.0 \n", + "coef_N_246_226_446 -0.15 0.0 \n", + "coef_N_25 -0.25 0.0 \n", + "coef_N_26  0.29 0.0 \n", + "coef_N_27  7.60 *** 0.0 \n", + "coef_N_28  9.85 *** 0.0 \n", + "coef_N_33  4.72 *** 0.0 \n", + "coef_N_34 -0.53 0.0 \n", + "coef_N_35  2.59 ** 0.0 \n", + "coef_N_36  NA 0.0 \n", + "coef_N_37  BIG *** 0.0 \n", + "coef_N_38  BIG *** 0.0 \n", + "coef_N_44  3.03 ** 0.0 \n", + "coef_N_45 -1.03 0.0 \n", + "coef_N_46  BIG *** 0.0 \n", + "coef_N_47  BIG *** 0.0 \n", + "coef_N_48  BIG *** 0.0 \n", + "coef_N_55  6.42 *** 0.0 \n", + "coef_N_56_57_58  NA 0.0 \n", + "coef_N_66  3.25 ** 0.0 \n", + "coef_N_67  1.93 0.0 \n", + "coef_N_68  1.27 0.0 \n", + "coef_N_77  11.65 *** 0.0 \n", + "coef_N_78 -0.78 0.0 \n", + "coef_N_88  4.26 *** 0.0 \n", + "coef_N_xxxxx -0.47 0.0 \n", + "coef_UNAVAILABLE  NA 0.0 \n", + "coef_child_who_is_in_school_or_too_young_for_sc...  3.32 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_asc_M  12.78 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_asc_N -2.45 * 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac... -0.85 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac...  4.98 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac... -6.53 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac...  6.75 *** 0.0 \n", + "coef_full_time_worker_asc_M  8.76 *** 0.0 \n", + "coef_full_time_worker_asc_N  13.66 *** 0.0 \n", + "coef_full_time_worker_interaction_with_age_less...  5.41 *** 0.0 \n", + "coef_full_time_worker_interaction_with_female_g... -3.24 ** 0.0 \n", + "coef_full_time_worker_interaction_with_fewer_ca...  9.16 *** 0.0 \n", + "coef_full_time_worker_interaction_with_income_l...  3.72 *** 0.0 \n", + "coef_full_time_worker_intraction_with_peak_acce...  3.23 ** 0.0 \n", + "coef_non_working_adult_asc_N  1.97 * 0.0 \n", + "coef_non_working_adult_interaction_with_female_...  NA 0.0 \n", + "coef_non_working_adult_interaction_with_fewer_c...  7.19 *** 0.0 \n", + "coef_non_working_adult_interaction_with_income_... -5.03 *** 0.0 \n", + "coef_non_working_adult_interaction_with_income_... -6.94 *** 0.0 \n", + "coef_non_working_adult_interaction_with_more_ca...  BIG *** 0.0 \n", + "coef_non_working_adult_interaction_with_more_ca...  9.45 *** 0.0 \n", + "coef_non_working_adult_interaction_with_peak_ac...  BIG *** 0.0 \n", + "coef_non_working_adult_retired_or_univ_student_...  1.78 0.0 \n", + "coef_part_time_worker_asc_M -2.29 * 0.0 \n", + "coef_part_time_worker_asc_N  7.18 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_b... -3.93 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_l...  2.18 * 0.0 \n", + "coef_part_time_worker_interaction_with_income_m... -3.64 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_m...  4.56 *** 0.0 \n", + "coef_part_time_worker_interaction_with_peak_acc...  6.76 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_M  31.22 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_N -0.16 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -6.17 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -4.70 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -4.80 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int...  7.83 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  5.43 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -3.34 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -4.27 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  6.84 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  1.81 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -5.51 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -5.31 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  7.99 *** 0.0 \n", + "coef_retired_asc_N  1.21 0.0 \n", + "coef_retired_interaction_with_age_more_than_80_H  8.84 *** 0.0 \n", + "coef_retired_interaction_with_female_M  NA 0.0 \n", + "coef_retired_interaction_with_fewer_cars_than_w...  2.98 ** 0.0 \n", + "coef_retired_interaction_with_income_less_than_...  5.63 *** 0.0 \n", + "coef_retired_interaction_with_more_cars_than_wo...  NA 0.0 \n", + "coef_retired_interaction_with_more_cars_than_wo...  11.48 *** 0.0 \n", + "coef_retired_interaction_with_peak_accessibilit...  NA 0.0 \n", + "coef_university_student_asc_M  25.12 *** 0.0 \n", + "coef_university_student_asc_N  1.38 0.0 \n", + "coef_full_time_worker_interaction_with_income_b... \n", + "coef_full_time_worker_interaction_with_income_l... \n", + "\n", + " model2 \\\n", + " Value Std Err \n", + "Parameter \n", + "-999.0 -999.  0.00 \n", + "coef_H_11  1.46  0.0622 \n", + "coef_H_12  0.950  0.132 \n", + "coef_H_124_122_144  0.367  0.153 \n", + "coef_H_126_146 -0.00902  0.336 \n", + "coef_H_13  1.20  0.131 \n", + "coef_H_14  0.991  0.0904 \n", + "coef_H_15  1.18  0.0921 \n", + "coef_H_16  1.85  0.103 \n", + "coef_H_17  1.34  0.0558 \n", + "coef_H_18  0.808  0.109 \n", + "coef_H_22  1.66  0.215 \n", + "coef_H_222_224_244  0.0804  0.225 \n", + "coef_H_226_246_446  0.0726  0.687 \n", + "coef_H_23  1.68  0.209 \n", + "coef_H_24  1.20  0.165 \n", + "coef_H_25 -0.0737  0.277 \n", + "coef_H_26  2.84  0.239 \n", + "coef_H_266_466  1.25  0.652 \n", + "coef_H_27  0.804  0.158 \n", + "coef_H_28  0.946  0.186 \n", + "coef_H_33  0.366  0.448 \n", + "coef_H_34  1.54  0.131 \n", + "coef_H_35  0.213  0.389 \n", + "coef_H_36  1.55  NA \n", + "coef_H_37  1.55  NA \n", + "coef_H_38  1.34  4.18e-13 \n", + "coef_H_44  1.09  0.0883 \n", + "coef_H_45  1.13  0.139 \n", + "coef_H_46  0.524  3.12e-13 \n", + "coef_H_47  0.811  NA \n", + "coef_H_48  1.17  6.30e-13 \n", + "coef_H_55  1.22  0.165 \n", + "coef_H_56_57_58  0.863  NA \n", + "coef_H_66  1.37  0.298 \n", + "coef_H_67  1.28  0.386 \n", + "coef_H_68  1.39  0.756 \n", + "coef_H_77  2.42  0.0804 \n", + "coef_H_78  1.21  0.157 \n", + "coef_H_88  0.956  0.217 \n", + "coef_H_xxxxx -3.47  0.269 \n", + "coef_M_11  9.36e-05  0.0443 \n", + "coef_M_111  0.164  0.0552 \n", + "coef_M_112_114  0.295  0.0900 \n", + "coef_M_12 -0.109  0.0595 \n", + "coef_M_13  0.197  0.0448 \n", + "coef_M_16  0.159  0.0607 \n", + "coef_M_17  0.0372  0.0286 \n", + "coef_M_18  0.372  0.0438 \n", + "coef_M_22  0.966  0.0933 \n", + "coef_M_23  0.107  0.0905 \n", + "coef_M_26  0.776  0.129 \n", + "coef_M_27  0.0943  0.0482 \n", + "coef_M_28  0.515  0.0771 \n", + "coef_M_33  0.673  0.0862 \n", + "coef_M_36 -0.00210  NA \n", + "coef_M_37  0.297  3.67e-13 \n", + "coef_M_38  0.225  4.32e-13 \n", + "coef_M_66  0.0422  0.240 \n", + "coef_M_666 -0.671  1.46 \n", + "coef_M_67  0.288  0.360 \n", + "coef_M_68  0.695  0.457 \n", + "coef_M_77  0.703  0.0584 \n", + "coef_M_78  0.141  0.0957 \n", + "coef_M_88  1.33  0.0903 \n", + "coef_M_xxxxx  0.105  0.0498 \n", + "coef_N_11  0.915  0.0816 \n", + "coef_N_112_114  0.104  0.174 \n", + "coef_N_12  0.467  0.111 \n", + "coef_N_124_122_144  0.128  0.143 \n", + "coef_N_13  0.211  0.135 \n", + "coef_N_14  0.0271  0.0720 \n", + "coef_N_15  0.0894  0.0881 \n", + "coef_N_16  0.309  0.223 \n", + "coef_N_166  0.433  0.525 \n", + "coef_N_17  0.280  0.0919 \n", + "coef_N_18  0.299  0.0989 \n", + "coef_N_22  0.867  0.169 \n", + "coef_N_222_224_444 -1.35  0.195 \n", + "coef_N_23  0.165  0.200 \n", + "coef_N_24  0.595  0.0737 \n", + "coef_N_246_226_446 -0.872  5.62 \n", + "coef_N_25 -0.0275  0.107 \n", + "coef_N_26  0.126  0.436 \n", + "coef_N_27  0.734  0.0961 \n", + "coef_N_28  1.05  0.107 \n", + "coef_N_33  0.786  0.165 \n", + "coef_N_34 -0.0511  0.0979 \n", + "coef_N_35  0.390  0.150 \n", + "coef_N_36  1.62  NA \n", + "coef_N_37  0.516  NA \n", + "coef_N_38  0.897  2.96e-13 \n", + "coef_N_44  0.300  0.0996 \n", + "coef_N_45 -0.0902  0.0854 \n", + "coef_N_46  0.680  2.86e-13 \n", + "coef_N_47  0.565  2.67e-13 \n", + "coef_N_48  1.16  2.34e-13 \n", + "coef_N_55  0.729  0.114 \n", + "coef_N_56_57_58  0.292  NA \n", + "coef_N_66  1.60  0.495 \n", + "coef_N_67  1.29  0.673 \n", + "coef_N_68  1.14  0.899 \n", + "coef_N_77  1.28  0.109 \n", + "coef_N_78 -0.421  0.546 \n", + "coef_N_88  0.645  0.151 \n", + "coef_N_xxxxx -0.0446  0.100 \n", + "coef_UNAVAILABLE -999.  0.00 \n", + "coef_child_who_is_in_school_or_too_young_for_sc...  0.139  0.0416 \n", + "coef_driving_age_child_who_is_in_school_asc_M  2.30  0.178 \n", + "coef_driving_age_child_who_is_in_school_asc_N -1.06  0.445 \n", + "coef_driving_age_child_who_is_in_school_interac... -0.132  0.188 \n", + "coef_driving_age_child_who_is_in_school_interac...  0.836  0.168 \n", + "coef_driving_age_child_who_is_in_school_interac... -1.51  0.242 \n", + "coef_driving_age_child_who_is_in_school_interac...  1.53  0.216 \n", + "coef_full_time_worker_asc_M  2.18  0.246 \n", + "coef_full_time_worker_asc_N  0.693  0.0574 \n", + "coef_full_time_worker_interaction_with_age_less...  0.216  0.0389 \n", + "coef_full_time_worker_interaction_with_female_g... -0.124  0.0394 \n", + "coef_full_time_worker_interaction_with_fewer_ca...  0.528  0.0568 \n", + "coef_full_time_worker_interaction_with_income_l... \n", + "coef_full_time_worker_intraction_with_peak_acce...  0.0642  0.0203 \n", + "coef_non_working_adult_asc_N  0.698  0.354 \n", + "coef_non_working_adult_interaction_with_female_... -0.743  3.86e-14 \n", + "coef_non_working_adult_interaction_with_fewer_c...  0.978  0.136 \n", + "coef_non_working_adult_interaction_with_income_... -0.424  0.0839 \n", + "coef_non_working_adult_interaction_with_income_... -0.716  0.104 \n", + "coef_non_working_adult_interaction_with_more_ca...  0.651  NA \n", + "coef_non_working_adult_interaction_with_more_ca...  0.781  0.0828 \n", + "coef_non_working_adult_interaction_with_peak_ac...  0.231  8.76e-15 \n", + "coef_non_working_adult_retired_or_univ_student_...  0.0629  0.0352 \n", + "coef_part_time_worker_asc_M -0.900  0.394 \n", + "coef_part_time_worker_asc_N  0.679  0.0944 \n", + "coef_part_time_worker_interaction_with_income_b... -0.471  0.120 \n", + "coef_part_time_worker_interaction_with_income_l...  0.278  0.126 \n", + "coef_part_time_worker_interaction_with_income_m... -0.488  0.135 \n", + "coef_part_time_worker_interaction_with_income_m...  0.334  0.0734 \n", + "coef_part_time_worker_interaction_with_peak_acc...  0.218  0.0323 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_M  3.24  0.104 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_N -0.0778  0.412 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.697  0.112 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.605  0.129 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -0.398  0.0834 \n", + "coef_pre_driving_age_child_who_is_in_school_int...  0.676  0.0862 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.587  0.107 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -1.40  0.417 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.392  0.0920 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.670  0.0978 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.243  0.134 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.708  0.128 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -0.688  0.131 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  0.686  0.0858 \n", + "coef_retired_asc_N  0.439  0.359 \n", + "coef_retired_interaction_with_age_more_than_80_H  0.732  0.0825 \n", + "coef_retired_interaction_with_female_M  0.477  0.00 \n", + "coef_retired_interaction_with_fewer_cars_than_w...  0.649  0.218 \n", + "coef_retired_interaction_with_income_less_than_...  0.483  0.0844 \n", + "coef_retired_interaction_with_more_cars_than_wo...  2.99  0.00 \n", + "coef_retired_interaction_with_more_cars_than_wo...  1.01  0.0884 \n", + "coef_retired_interaction_with_peak_accessibilit...  0.279  0.00 \n", + "coef_university_student_asc_M  2.17  0.0864 \n", + "coef_university_student_asc_N  0.490  0.356 \n", + "coef_full_time_worker_interaction_with_income_b...  0.0541  0.0542 \n", + "coef_full_time_worker_interaction_with_income_l...  0.245  0.0795 \n", + "\n", + " \n", + " t Stat Signif Null Value \n", + "Parameter \n", + "-999.0  NA 0.0 \n", + "coef_H_11  23.40 *** 0.0 \n", + "coef_H_12  7.18 *** 0.0 \n", + "coef_H_124_122_144  2.40 * 0.0 \n", + "coef_H_126_146 -0.03 0.0 \n", + "coef_H_13  9.17 *** 0.0 \n", + "coef_H_14  10.96 *** 0.0 \n", + "coef_H_15  12.86 *** 0.0 \n", + "coef_H_16  17.98 *** 0.0 \n", + "coef_H_17  24.04 *** 0.0 \n", + "coef_H_18  7.42 *** 0.0 \n", + "coef_H_22  7.73 *** 0.0 \n", + "coef_H_222_224_244  0.36 0.0 \n", + "coef_H_226_246_446  0.11 0.0 \n", + "coef_H_23  8.03 *** 0.0 \n", + "coef_H_24  7.24 *** 0.0 \n", + "coef_H_25 -0.27 0.0 \n", + "coef_H_26  11.86 *** 0.0 \n", + "coef_H_266_466  1.91 0.0 \n", + "coef_H_27  5.07 *** 0.0 \n", + "coef_H_28  5.08 *** 0.0 \n", + "coef_H_33  0.82 0.0 \n", + "coef_H_34  11.75 *** 0.0 \n", + "coef_H_35  0.55 0.0 \n", + "coef_H_36  NA 0.0 \n", + "coef_H_37  NA 0.0 \n", + "coef_H_38  BIG *** 0.0 \n", + "coef_H_44  12.30 *** 0.0 \n", + "coef_H_45  8.16 *** 0.0 \n", + "coef_H_46  BIG *** 0.0 \n", + "coef_H_47  NA 0.0 \n", + "coef_H_48  BIG *** 0.0 \n", + "coef_H_55  7.39 *** 0.0 \n", + "coef_H_56_57_58  NA 0.0 \n", + "coef_H_66  4.60 *** 0.0 \n", + "coef_H_67  3.32 *** 0.0 \n", + "coef_H_68  1.83 0.0 \n", + "coef_H_77  30.16 *** 0.0 \n", + "coef_H_78  7.69 *** 0.0 \n", + "coef_H_88  4.40 *** 0.0 \n", + "coef_H_xxxxx -12.88 *** 0.0 \n", + "coef_M_11  0.00 0.0 \n", + "coef_M_111  2.96 ** 0.0 \n", + "coef_M_112_114  3.28 ** 0.0 \n", + "coef_M_12 -1.83 0.0 \n", + "coef_M_13  4.39 *** 0.0 \n", + "coef_M_16  2.63 ** 0.0 \n", + "coef_M_17  1.30 0.0 \n", + "coef_M_18  8.49 *** 0.0 \n", + "coef_M_22  10.36 *** 0.0 \n", + "coef_M_23  1.18 0.0 \n", + "coef_M_26  6.00 *** 0.0 \n", + "coef_M_27  1.95 0.0 \n", + "coef_M_28  6.68 *** 0.0 \n", + "coef_M_33  7.81 *** 0.0 \n", + "coef_M_36  NA 0.0 \n", + "coef_M_37  BIG *** 0.0 \n", + "coef_M_38  BIG *** 0.0 \n", + "coef_M_66  0.18 0.0 \n", + "coef_M_666 -0.46 0.0 \n", + "coef_M_67  0.80 0.0 \n", + "coef_M_68  1.52 0.0 \n", + "coef_M_77  12.03 *** 0.0 \n", + "coef_M_78  1.48 0.0 \n", + "coef_M_88  14.70 *** 0.0 \n", + "coef_M_xxxxx  2.10 * 0.0 \n", + "coef_N_11  11.21 *** 0.0 \n", + "coef_N_112_114  0.60 0.0 \n", + "coef_N_12  4.22 *** 0.0 \n", + "coef_N_124_122_144  0.90 0.0 \n", + "coef_N_13  1.57 0.0 \n", + "coef_N_14  0.38 0.0 \n", + "coef_N_15  1.01 0.0 \n", + "coef_N_16  1.39 0.0 \n", + "coef_N_166  0.82 0.0 \n", + "coef_N_17  3.04 ** 0.0 \n", + "coef_N_18  3.02 ** 0.0 \n", + "coef_N_22  5.14 *** 0.0 \n", + "coef_N_222_224_444 -6.91 *** 0.0 \n", + "coef_N_23  0.83 0.0 \n", + "coef_N_24  8.07 *** 0.0 \n", + "coef_N_246_226_446 -0.16 0.0 \n", + "coef_N_25 -0.26 0.0 \n", + "coef_N_26  0.29 0.0 \n", + "coef_N_27  7.64 *** 0.0 \n", + "coef_N_28  9.85 *** 0.0 \n", + "coef_N_33  4.77 *** 0.0 \n", + "coef_N_34 -0.52 0.0 \n", + "coef_N_35  2.59 ** 0.0 \n", + "coef_N_36  NA 0.0 \n", + "coef_N_37  NA 0.0 \n", + "coef_N_38  BIG *** 0.0 \n", + "coef_N_44  3.01 ** 0.0 \n", + "coef_N_45 -1.06 0.0 \n", + "coef_N_46  BIG *** 0.0 \n", + "coef_N_47  BIG *** 0.0 \n", + "coef_N_48  BIG *** 0.0 \n", + "coef_N_55  6.41 *** 0.0 \n", + "coef_N_56_57_58  NA 0.0 \n", + "coef_N_66  3.23 ** 0.0 \n", + "coef_N_67  1.92 0.0 \n", + "coef_N_68  1.27 0.0 \n", + "coef_N_77  11.68 *** 0.0 \n", + "coef_N_78 -0.77 0.0 \n", + "coef_N_88  4.26 *** 0.0 \n", + "coef_N_xxxxx -0.44 0.0 \n", + "coef_UNAVAILABLE  NA 0.0 \n", + "coef_child_who_is_in_school_or_too_young_for_sc...  3.35 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_asc_M  12.94 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_asc_N -2.39 * 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac... -0.70 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac...  4.96 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac... -6.24 *** 0.0 \n", + "coef_driving_age_child_who_is_in_school_interac...  7.05 *** 0.0 \n", + "coef_full_time_worker_asc_M  8.88 *** 0.0 \n", + "coef_full_time_worker_asc_N  12.07 *** 0.0 \n", + "coef_full_time_worker_interaction_with_age_less...  5.54 *** 0.0 \n", + "coef_full_time_worker_interaction_with_female_g... -3.15 ** 0.0 \n", + "coef_full_time_worker_interaction_with_fewer_ca...  9.29 *** 0.0 \n", + "coef_full_time_worker_interaction_with_income_l... \n", + "coef_full_time_worker_intraction_with_peak_acce...  3.16 ** 0.0 \n", + "coef_non_working_adult_asc_N  1.97 * 0.0 \n", + "coef_non_working_adult_interaction_with_female_... -BIG *** 0.0 \n", + "coef_non_working_adult_interaction_with_fewer_c...  7.19 *** 0.0 \n", + "coef_non_working_adult_interaction_with_income_... -5.05 *** 0.0 \n", + "coef_non_working_adult_interaction_with_income_... -6.89 *** 0.0 \n", + "coef_non_working_adult_interaction_with_more_ca...  NA 0.0 \n", + "coef_non_working_adult_interaction_with_more_ca...  9.43 *** 0.0 \n", + "coef_non_working_adult_interaction_with_peak_ac...  BIG *** 0.0 \n", + "coef_non_working_adult_retired_or_univ_student_...  1.79 0.0 \n", + "coef_part_time_worker_asc_M -2.29 * 0.0 \n", + "coef_part_time_worker_asc_N  7.19 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_b... -3.93 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_l...  2.21 * 0.0 \n", + "coef_part_time_worker_interaction_with_income_m... -3.61 *** 0.0 \n", + "coef_part_time_worker_interaction_with_income_m...  4.55 *** 0.0 \n", + "coef_part_time_worker_interaction_with_peak_acc...  6.75 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_M  31.19 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_asc_N -0.19 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -6.19 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -4.69 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int... -4.77 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_in_school_int...  7.84 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  5.47 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -3.36 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -4.27 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  6.85 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  1.82 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -5.52 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for... -5.26 *** 0.0 \n", + "coef_pre_driving_age_child_who_is_too_young_for...  7.99 *** 0.0 \n", + "coef_retired_asc_N  1.22 0.0 \n", + "coef_retired_interaction_with_age_more_than_80_H  8.87 *** 0.0 \n", + "coef_retired_interaction_with_female_M  NA 0.0 \n", + "coef_retired_interaction_with_fewer_cars_than_w...  2.97 ** 0.0 \n", + "coef_retired_interaction_with_income_less_than_...  5.72 *** 0.0 \n", + "coef_retired_interaction_with_more_cars_than_wo...  NA 0.0 \n", + "coef_retired_interaction_with_more_cars_than_wo...  11.45 *** 0.0 \n", + "coef_retired_interaction_with_peak_accessibilit...  NA 0.0 \n", + "coef_university_student_asc_M  25.10 *** 0.0 \n", + "coef_university_student_asc_N  1.38 0.0 \n", + "coef_full_time_worker_interaction_with_income_b...  1.00 0.0 \n", + "coef_full_time_worker_interaction_with_income_l...  3.08 ** 0.0 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "with pd.option_context('display.max_rows', 999):\n", + " display(pd.concat({\n", + " \"model\": model.parameter_summary().data,\n", + " \"model2\": model2.parameter_summary().data,\n", + " }, axis=1).fillna(\"\"))" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3277,7 +6558,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.8" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/07_mand_tour_freq.ipynb b/activitysim/examples/example_estimation/notebooks/07_mand_tour_freq.ipynb index 12091fc16..5e444a544 100644 --- a/activitysim/examples/example_estimation/notebooks/07_mand_tour_freq.ipynb +++ b/activitysim/examples/example_estimation/notebooks/07_mand_tour_freq.ipynb @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_frequency/mandatory_tour_frequency_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/mandatory_tour_frequency/mandatory_tour_frequency_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_frequency/mandatory_tour_frequency_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"mandatory_tour_frequency\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -743,15 +805,15 @@ " util_driving_age_child\n", " util_pre_driving_age_child\n", " ...\n", - " HSENROLL\n", - " COLLFTE\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " auPkTotal\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " override_choice_code\n", " \n", " \n", @@ -781,8 +843,8 @@ " \n", " \n", " \n", - " 629\n", - " 629\n", + " 1918\n", + " 1918\n", " school1\n", " school1\n", " 0.0\n", @@ -793,20 +855,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 1.64217\n", - " 13.280000\n", - " 4.535000\n", - " 3.380567\n", - " False\n", + " 12.295952\n", + " 10.006297\n", + " 12.411522\n", + " 5.033643\n", + " 7.242282\n", + " 4.864150\n", + " 7.063680\n", + " 5.626389\n", + " 7.133756\n", " 3\n", " \n", " \n", - " 1274\n", - " 1274\n", + " 3215\n", + " 3215\n", " school1\n", " school1\n", " 0.0\n", @@ -817,20 +879,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 506.23721\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.44180\n", - " 19.776119\n", - " 7.179104\n", - " 5.267062\n", - " False\n", + " 12.036005\n", + " 9.698240\n", + " 12.156041\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 1.360774\n", + " 5.139792\n", " 3\n", " \n", " \n", - " 27266\n", - " 27266\n", + " 4362\n", + " 4362\n", " school1\n", " school1\n", " 0.0\n", @@ -841,20 +903,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 26.92893\n", - " 2035.58118\n", - " 20.60887\n", - " 2\n", - " 5.22542\n", - " 97.634722\n", - " 550.205552\n", - " 82.920387\n", - " False\n", + " 11.954228\n", + " 9.566058\n", + " 12.139587\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 3.086628\n", + " 5.647842\n", " 3\n", " \n", " \n", - " 28012\n", - " 28012\n", + " 5859\n", + " 5859\n", " school1\n", " school1\n", " 0.0\n", @@ -865,20 +927,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 690.54974\n", - " 0.00000\n", - " 3\n", - " 4.73802\n", - " 117.769796\n", - " 246.205869\n", - " 79.663609\n", - " False\n", + " 12.484185\n", + " 9.994051\n", + " 12.608786\n", + " 2.273060\n", + " 4.760981\n", + " 2.104966\n", + " 4.545843\n", + " 4.254230\n", + " 6.941860\n", " 3\n", " \n", " \n", - " 29476\n", - " 29476\n", + " 6100\n", + " 6100\n", " school1\n", " school1\n", " 0.0\n", @@ -889,15 +951,15 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", - " 2\n", - " 4.75017\n", - " 71.898080\n", - " 273.023745\n", - " 56.911108\n", - " False\n", + " 12.718182\n", + " 10.233345\n", + " 12.809847\n", + " 3.534863\n", + " 6.375527\n", + " 3.401762\n", + " 6.258096\n", + " 5.240538\n", + " 7.175776\n", " 3\n", " \n", " \n", @@ -925,106 +987,106 @@ " ...\n", " \n", " \n", - " 2823069\n", - " 7514404\n", - " work1\n", - " work1\n", - " 1.0\n", + " 2857869\n", + " 7549204\n", + " school1\n", + " school1\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 3.95752\n", - " 65.596535\n", - " 32.655666\n", - " 21.802041\n", - " True\n", - " 1\n", + " 12.307902\n", + " 10.005144\n", + " 12.585021\n", + " 3.812385\n", + " 6.519807\n", + " 3.632087\n", + " 6.178083\n", + " 3.718425\n", + " 5.556368\n", + " 3\n", " \n", " \n", - " 2823442\n", - " 7514777\n", - " work1\n", - " work1\n", + " 2857903\n", + " 7549238\n", + " school1\n", + " school1\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", - " 2\n", - " 4.51942\n", - " 56.706023\n", - " 144.861886\n", - " 40.753220\n", - " True\n", - " 1\n", + " 12.309276\n", + " 9.986443\n", + " 12.582868\n", + " 3.319335\n", + " 6.046532\n", + " 3.207581\n", + " 5.829832\n", + " 4.139571\n", + " 6.510036\n", + " 3\n", " \n", " \n", - " 2823850\n", - " 7515185\n", - " work_and_school\n", - " work_and_school\n", + " 2859659\n", + " 7550994\n", + " school1\n", + " school1\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 11.638333\n", + " 9.598840\n", + " 11.963516\n", + " 0.916326\n", + " 3.279901\n", + " 0.315332\n", + " 2.429541\n", + " 3.824743\n", + " 6.768218\n", " 3\n", - " 2.46800\n", - " 0.296858\n", - " 36.296472\n", - " 0.294449\n", - " True\n", - " 5\n", " \n", " \n", - " 2836262\n", - " 7527597\n", + " 2861083\n", + " 7552418\n", " school1\n", " school1\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " ...\n", - " 3961.04761\n", - " 17397.79102\n", - " 11152.93652\n", - " 1\n", - " 2.28992\n", - " 3.984127\n", - " 23.820106\n", - " 3.413233\n", - " False\n", + " 10.447823\n", + " 8.697696\n", + " 10.794293\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 3.679297\n", + " 5.376192\n", " 3\n", " \n", " \n", - " 2849737\n", - " 7541072\n", - " school2\n", - " school2\n", + " 2870568\n", + " 7561903\n", + " school1\n", + " school1\n", " 0.0\n", " 0.0\n", " 1.0\n", @@ -1033,108 +1095,94 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 11.802080\n", + " 9.800589\n", + " 12.206363\n", + " 1.183362\n", + " 3.611805\n", + " 0.897289\n", + " 3.179071\n", + " 5.769691\n", + " 8.087817\n", " 3\n", - " 3.35329\n", - " 34.477273\n", - " 15.454545\n", - " 10.671163\n", - " True\n", - " 4\n", " \n", " \n", "\n", - "

2620 rows × 220 columns

\n", + "

31768 rows × 220 columns

\n", "" ], "text/plain": [ - " person_id model_choice override_choice util_ft_worker \\\n", - "household_id \n", - "629 629 school1 school1 0.0 \n", - "1274 1274 school1 school1 0.0 \n", - "27266 27266 school1 school1 0.0 \n", - "28012 28012 school1 school1 0.0 \n", - "29476 29476 school1 school1 0.0 \n", - "... ... ... ... ... \n", - "2823069 7514404 work1 work1 1.0 \n", - "2823442 7514777 work1 work1 0.0 \n", - "2823850 7515185 work_and_school work_and_school 0.0 \n", - "2836262 7527597 school1 school1 0.0 \n", - "2849737 7541072 school2 school2 0.0 \n", + " person_id model_choice override_choice util_ft_worker \\\n", + "household_id \n", + "1918 1918 school1 school1 0.0 \n", + "3215 3215 school1 school1 0.0 \n", + "4362 4362 school1 school1 0.0 \n", + "5859 5859 school1 school1 0.0 \n", + "6100 6100 school1 school1 0.0 \n", + "... ... ... ... ... \n", + "2857869 7549204 school1 school1 0.0 \n", + "2857903 7549238 school1 school1 0.0 \n", + "2859659 7550994 school1 school1 0.0 \n", + "2861083 7552418 school1 school1 0.0 \n", + "2870568 7561903 school1 school1 0.0 \n", "\n", " util_pt_worker util_univ util_non_working_adult util_retired \\\n", "household_id \n", - "629 0.0 1.0 0.0 0.0 \n", - "1274 0.0 1.0 0.0 0.0 \n", - "27266 0.0 1.0 0.0 0.0 \n", - "28012 0.0 1.0 0.0 0.0 \n", - "29476 0.0 1.0 0.0 0.0 \n", + "1918 0.0 1.0 0.0 0.0 \n", + "3215 0.0 1.0 0.0 0.0 \n", + "4362 0.0 1.0 0.0 0.0 \n", + "5859 0.0 1.0 0.0 0.0 \n", + "6100 0.0 1.0 0.0 0.0 \n", "... ... ... ... ... \n", - "2823069 0.0 0.0 0.0 0.0 \n", - "2823442 0.0 1.0 0.0 0.0 \n", - "2823850 0.0 1.0 0.0 0.0 \n", - "2836262 0.0 1.0 0.0 0.0 \n", - "2849737 0.0 1.0 0.0 0.0 \n", + "2857869 0.0 0.0 0.0 0.0 \n", + "2857903 0.0 0.0 0.0 0.0 \n", + "2859659 0.0 0.0 0.0 0.0 \n", + "2861083 0.0 0.0 0.0 0.0 \n", + "2870568 0.0 1.0 0.0 0.0 \n", "\n", " util_driving_age_child util_pre_driving_age_child ... \\\n", "household_id ... \n", - "629 0.0 0.0 ... \n", - "1274 0.0 0.0 ... \n", - "27266 0.0 0.0 ... \n", - "28012 0.0 0.0 ... \n", - "29476 0.0 0.0 ... \n", + "1918 0.0 0.0 ... \n", + "3215 0.0 0.0 ... \n", + "4362 0.0 0.0 ... \n", + "5859 0.0 0.0 ... \n", + "6100 0.0 0.0 ... \n", "... ... ... ... \n", - "2823069 0.0 0.0 ... \n", - "2823442 0.0 0.0 ... \n", - "2823850 0.0 0.0 ... \n", - "2836262 0.0 0.0 ... \n", - "2849737 0.0 0.0 ... \n", + "2857869 1.0 0.0 ... \n", + "2857903 1.0 0.0 ... \n", + "2859659 1.0 0.0 ... \n", + "2861083 0.0 1.0 ... \n", + "2870568 0.0 0.0 ... \n", "\n", - " HSENROLL COLLFTE COLLPTE TOPOLOGY TERMINAL \\\n", - "household_id \n", - "629 0.00000 0.00000 0.00000 1 1.64217 \n", - "1274 506.23721 0.00000 0.00000 1 2.44180 \n", - "27266 26.92893 2035.58118 20.60887 2 5.22542 \n", - "28012 0.00000 690.54974 0.00000 3 4.73802 \n", - "29476 0.00000 0.00000 0.00000 2 4.75017 \n", - "... ... ... ... ... ... \n", - "2823069 0.00000 0.00000 0.00000 1 3.95752 \n", - "2823442 0.00000 0.00000 0.00000 2 4.51942 \n", - "2823850 0.00000 0.00000 0.00000 3 2.46800 \n", - "2836262 3961.04761 17397.79102 11152.93652 1 2.28992 \n", - "2849737 0.00000 0.00000 0.00000 3 3.35329 \n", + " auPkTotal auOpRetail auOpTotal trPkRetail trPkTotal \\\n", + "household_id \n", + "1918 12.295952 10.006297 12.411522 5.033643 7.242282 \n", + "3215 12.036005 9.698240 12.156041 0.000000 0.000000 \n", + "4362 11.954228 9.566058 12.139587 0.000000 0.000000 \n", + "5859 12.484185 9.994051 12.608786 2.273060 4.760981 \n", + "6100 12.718182 10.233345 12.809847 3.534863 6.375527 \n", + "... ... ... ... ... ... \n", + "2857869 12.307902 10.005144 12.585021 3.812385 6.519807 \n", + "2857903 12.309276 9.986443 12.582868 3.319335 6.046532 \n", + "2859659 11.638333 9.598840 11.963516 0.916326 3.279901 \n", + "2861083 10.447823 8.697696 10.794293 0.000000 0.000000 \n", + "2870568 11.802080 9.800589 12.206363 1.183362 3.611805 \n", "\n", - " household_density employment_density density_index is_cbd \\\n", - "household_id \n", - "629 13.280000 4.535000 3.380567 False \n", - "1274 19.776119 7.179104 5.267062 False \n", - "27266 97.634722 550.205552 82.920387 False \n", - "28012 117.769796 246.205869 79.663609 False \n", - "29476 71.898080 273.023745 56.911108 False \n", - "... ... ... ... ... \n", - "2823069 65.596535 32.655666 21.802041 True \n", - "2823442 56.706023 144.861886 40.753220 True \n", - "2823850 0.296858 36.296472 0.294449 True \n", - "2836262 3.984127 23.820106 3.413233 False \n", - "2849737 34.477273 15.454545 10.671163 True \n", + " trOpRetail trOpTotal nmRetail nmTotal override_choice_code \n", + "household_id \n", + "1918 4.864150 7.063680 5.626389 7.133756 3 \n", + "3215 0.000000 0.000000 1.360774 5.139792 3 \n", + "4362 0.000000 0.000000 3.086628 5.647842 3 \n", + "5859 2.104966 4.545843 4.254230 6.941860 3 \n", + "6100 3.401762 6.258096 5.240538 7.175776 3 \n", + "... ... ... ... ... ... \n", + "2857869 3.632087 6.178083 3.718425 5.556368 3 \n", + "2857903 3.207581 5.829832 4.139571 6.510036 3 \n", + "2859659 0.315332 2.429541 3.824743 6.768218 3 \n", + "2861083 0.000000 0.000000 3.679297 5.376192 3 \n", + "2870568 0.897289 3.179071 5.769691 8.087817 3 \n", "\n", - " override_choice_code \n", - "household_id \n", - "629 3 \n", - "1274 3 \n", - "27266 3 \n", - "28012 3 \n", - "29476 3 \n", - "... ... \n", - "2823069 1 \n", - "2823442 1 \n", - "2823850 5 \n", - "2836262 3 \n", - "2849737 4 \n", - "\n", - "[2620 rows x 220 columns]" + "[31768 rows x 220 columns]" ] }, "execution_count": 6, @@ -1160,17 +1208,10 @@ "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

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Best LL = -410.2201502048449

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Best LL = -4677.236180934496

" ], "text/plain": [ "" @@ -1213,823 +1254,783 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " 0\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_can_walk_to_work_and_school\n", - " 0.071630\n", + " 0.284832\n", + " 0.284832\n", " 0.1391\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.071630\n", " \n", " \n", " coef_can_walk_to_work_school2\n", - " 1.368092\n", + " 0.811379\n", + " 0.811379\n", " 0.7114\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.368092\n", " \n", " \n", " coef_can_walk_to_work_work2\n", - " 0.651120\n", + " 0.600928\n", + " 0.600928\n", " 0.5268\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.651120\n", " \n", " \n", " coef_driving_age_child_school2_asc\n", - " -13.067731\n", + " -3.209418\n", + " -3.209418\n", " -3.1360\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -13.067731\n", " \n", " \n", " coef_driving_age_child_work_and_school_asc\n", - " -12.605997\n", + " -4.565091\n", + " -4.565091\n", " -4.4362\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -12.605997\n", " \n", " \n", " coef_female_school1\n", - " 0.247086\n", + " 0.000463\n", + " 0.000463\n", " 0.1592\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.247086\n", " \n", " \n", " coef_female_school2\n", - " -0.301339\n", + " -0.016856\n", + " -0.016856\n", " 0.1140\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.301339\n", " \n", " \n", " coef_female_work1\n", - " -2.242748\n", + " 0.333342\n", + " 0.333342\n", " 0.1737\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.242748\n", " \n", " \n", " coef_female_work2\n", - " -0.387411\n", + " -0.219862\n", + " -0.219862\n", " -0.2255\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.387411\n", " \n", " \n", " coef_female_work_and_school\n", - " -3.218280\n", + " -0.265847\n", + " -0.265847\n", " -0.3442\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3.218280\n", " \n", " \n", " coef_few_cars_than_drivers_school2\n", - " -0.862451\n", + " -0.297623\n", + " -0.297623\n", " -0.5759\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.862451\n", " \n", " \n", " coef_ft_worker_work2_asc\n", - " -5.517933\n", + " -3.494595\n", + " -3.494595\n", " -3.3781\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.517933\n", " \n", " \n", " coef_hh_income_gt_50k_school1\n", " 0.034700\n", + " 0.034700\n", " 0.0347\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.034700\n", " \n", " \n", " coef_hh_income_gt_50k_student_work_and_school\n", - " -0.921175\n", + " -0.128428\n", + " -0.128428\n", " -0.0528\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.921175\n", " \n", " \n", " coef_hh_income_gt_50k_work\n", - " -1.418551\n", + " -0.286159\n", + " -0.286159\n", " -0.0528\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.418551\n", " \n", " \n", " coef_hh_income_gt_50k_worker_work_and_school\n", " 0.034700\n", + " 0.034700\n", " 0.0347\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.034700\n", " \n", " \n", " coef_home_urban_school1\n", " -0.136100\n", + " -0.136100\n", " -0.1361\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.136100\n", " \n", " \n", " coef_home_urban_school2\n", - " -8.455615\n", + " 0.161745\n", + " 0.161745\n", " 0.3170\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -8.455615\n", " \n", " \n", " coef_home_urban_work1\n", - " 4.026796\n", + " -0.122770\n", + " -0.122770\n", " -0.2831\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4.026796\n", " \n", " \n", " coef_home_urban_work2\n", - " 2.624854\n", + " 0.142218\n", + " 0.142218\n", " 0.2308\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.624854\n", " \n", " \n", " coef_home_urban_work_and_school\n", - " -0.447070\n", + " -0.436835\n", + " -0.436835\n", " -0.3509\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.447070\n", " \n", " \n", " coef_no_cars_in_hh_school2\n", - " -0.620465\n", + " -1.479517\n", + " -1.479517\n", " -1.4130\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.620465\n", " \n", " \n", " coef_no_cars_in_hh_work2\n", - " -0.725967\n", + " -1.524960\n", + " -1.524960\n", " -1.3060\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.725967\n", " \n", " \n", " coef_no_cars_in_hh_work_and_school\n", - " -0.775934\n", + " -1.244512\n", + " -1.244512\n", " -1.3020\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.775934\n", " \n", " \n", " coef_non_family_hh_category1\n", " -0.250000\n", + " -0.250000\n", " -0.2500\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.250000\n", " \n", " \n", " coef_non_family_hh_category2\n", - " 5.000771\n", + " -0.091298\n", + " -0.091298\n", " -0.1792\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 5.000771\n", " \n", " \n", " coef_non_student_goes_to_school\n", " 3.883000\n", + " 3.883000\n", " 3.8830\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3.883000\n", " \n", " \n", " coef_num_non_workers_in_hh_school1\n", " 0.257400\n", + " 0.257400\n", " 0.2574\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.257400\n", " \n", " \n", " coef_num_preschool_in_hh_school1\n", " -0.133500\n", + " -0.133500\n", " -0.1335\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.133500\n", " \n", " \n", " coef_num_preschool_in_hh_school2\n", - " 0.356660\n", + " -0.796350\n", + " -0.796350\n", " -0.5577\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.356660\n", " \n", " \n", " coef_num_preschool_in_hh_work1\n", - " -2.930501\n", + " 0.125045\n", + " 0.125045\n", " 0.2191\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.930501\n", " \n", " \n", " coef_num_preschool_in_hh_work2\n", - " 0.225173\n", + " -0.126183\n", + " -0.126183\n", " -0.1478\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.225173\n", " \n", " \n", " coef_num_preschool_in_hh_work_and_school\n", - " -29.197569\n", + " -0.070125\n", + " -0.070125\n", " -0.1251\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -29.197569\n", " \n", " \n", " coef_num_under_16_not_at_school_school2\n", - " -0.638293\n", + " -0.015345\n", + " -0.015345\n", " 0.0866\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.638293\n", " \n", " \n", " coef_num_under_16_not_at_school_work2\n", - " -0.118991\n", + " 0.168260\n", + " 0.168260\n", " 0.1804\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.118991\n", " \n", " \n", " coef_num_under_16_not_at_school_work_and_school\n", - " -15.357907\n", + " -0.192330\n", + " -0.192330\n", " -0.1955\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -15.357907\n", " \n", " \n", " coef_pre_driving_age_child_school2_asc\n", - " 3.679726\n", + " -4.210709\n", + " -4.210709\n", " -3.9703\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3.679726\n", " \n", " \n", " coef_pt_worker_work2_asc\n", - " -4.743242\n", + " -3.079547\n", + " -3.079547\n", " -3.0476\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.743242\n", " \n", " \n", " coef_round_trip_auto_time_to_work_school2\n", - " 0.064411\n", + " -0.005959\n", + " -0.005959\n", " -0.0034\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.064411\n", " \n", " \n", " coef_round_trip_auto_time_to_work_work2\n", - " -0.025905\n", + " -0.001855\n", + " -0.001855\n", " -0.0035\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.025905\n", " \n", " \n", " coef_round_trip_auto_time_to_work_work_and_school\n", - " -0.021804\n", + " -0.002208\n", + " -0.002208\n", " -0.0031\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.021804\n", " \n", " \n", " coef_student_employed\n", - " 13.457255\n", + " 2.918973\n", + " 2.918973\n", " 3.0140\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 13.457255\n", " \n", " \n", " coef_unavailable\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", + " -999.0\n", + " -999.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_under_35_school1\n", " 0.721800\n", + " 0.721800\n", " 0.7218\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.721800\n", " \n", " \n", " coef_under_35_school2\n", - " 15.011164\n", + " 1.230550\n", + " 1.230550\n", " 1.2750\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 15.011164\n", " \n", " \n", " coef_under_35_work1\n", - " 1.038242\n", + " -0.458863\n", + " -0.458863\n", " -0.4629\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.038242\n", " \n", " \n", " coef_under_35_work2\n", - " -0.253875\n", + " 0.005614\n", + " 0.005614\n", " -0.1375\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.253875\n", " \n", " \n", " coef_under_35_work_and_school\n", - " 2.257035\n", + " 1.149726\n", + " 1.149726\n", " 0.9761\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.257035\n", " \n", " \n", " coef_univ_school2_asc\n", - " -10.233810\n", + " -3.640737\n", + " -3.640737\n", " -3.7429\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -10.233810\n", " \n", " \n", " coef_univ_work1_asc\n", - " 6.475896\n", + " 2.209708\n", + " 2.209708\n", " 2.1660\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 6.475896\n", " \n", " \n", " coef_univ_work2_asc\n", - " 4.833029\n", + " -1.472430\n", + " -1.472430\n", " -1.3965\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4.833029\n", " \n", " \n", " coef_univ_work_and_school_asc\n", - " 8.180927\n", + " 0.173386\n", + " 0.173386\n", " 0.1073\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 8.180927\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "0 0.000000 0.0000 \n", - "coef_can_walk_to_work_and_school 0.071630 0.1391 \n", - "coef_can_walk_to_work_school2 1.368092 0.7114 \n", - "coef_can_walk_to_work_work2 0.651120 0.5268 \n", - "coef_driving_age_child_school2_asc -13.067731 -3.1360 \n", - "coef_driving_age_child_work_and_school_asc -12.605997 -4.4362 \n", - "coef_female_school1 0.247086 0.1592 \n", - "coef_female_school2 -0.301339 0.1140 \n", - "coef_female_work1 -2.242748 0.1737 \n", - "coef_female_work2 -0.387411 -0.2255 \n", - "coef_female_work_and_school -3.218280 -0.3442 \n", - "coef_few_cars_than_drivers_school2 -0.862451 -0.5759 \n", - "coef_ft_worker_work2_asc -5.517933 -3.3781 \n", - "coef_hh_income_gt_50k_school1 0.034700 0.0347 \n", - "coef_hh_income_gt_50k_student_work_and_school -0.921175 -0.0528 \n", - "coef_hh_income_gt_50k_work -1.418551 -0.0528 \n", - "coef_hh_income_gt_50k_worker_work_and_school 0.034700 0.0347 \n", - "coef_home_urban_school1 -0.136100 -0.1361 \n", - "coef_home_urban_school2 -8.455615 0.3170 \n", - "coef_home_urban_work1 4.026796 -0.2831 \n", - "coef_home_urban_work2 2.624854 0.2308 \n", - "coef_home_urban_work_and_school -0.447070 -0.3509 \n", - "coef_no_cars_in_hh_school2 -0.620465 -1.4130 \n", - "coef_no_cars_in_hh_work2 -0.725967 -1.3060 \n", - "coef_no_cars_in_hh_work_and_school -0.775934 -1.3020 \n", - "coef_non_family_hh_category1 -0.250000 -0.2500 \n", - "coef_non_family_hh_category2 5.000771 -0.1792 \n", - "coef_non_student_goes_to_school 3.883000 3.8830 \n", - "coef_num_non_workers_in_hh_school1 0.257400 0.2574 \n", - "coef_num_preschool_in_hh_school1 -0.133500 -0.1335 \n", - "coef_num_preschool_in_hh_school2 0.356660 -0.5577 \n", - "coef_num_preschool_in_hh_work1 -2.930501 0.2191 \n", - "coef_num_preschool_in_hh_work2 0.225173 -0.1478 \n", - "coef_num_preschool_in_hh_work_and_school -29.197569 -0.1251 \n", - "coef_num_under_16_not_at_school_school2 -0.638293 0.0866 \n", - "coef_num_under_16_not_at_school_work2 -0.118991 0.1804 \n", - "coef_num_under_16_not_at_school_work_and_school -15.357907 -0.1955 \n", - "coef_pre_driving_age_child_school2_asc 3.679726 -3.9703 \n", - "coef_pt_worker_work2_asc -4.743242 -3.0476 \n", - "coef_round_trip_auto_time_to_work_school2 0.064411 -0.0034 \n", - "coef_round_trip_auto_time_to_work_work2 -0.025905 -0.0035 \n", - "coef_round_trip_auto_time_to_work_work_and_school -0.021804 -0.0031 \n", - "coef_student_employed 13.457255 3.0140 \n", - "coef_unavailable -999.000000 -999.0000 \n", - "coef_under_35_school1 0.721800 0.7218 \n", - "coef_under_35_school2 15.011164 1.2750 \n", - "coef_under_35_work1 1.038242 -0.4629 \n", - "coef_under_35_work2 -0.253875 -0.1375 \n", - "coef_under_35_work_and_school 2.257035 0.9761 \n", - "coef_univ_school2_asc -10.233810 -3.7429 \n", - "coef_univ_work1_asc 6.475896 2.1660 \n", - "coef_univ_work2_asc 4.833029 -1.3965 \n", - "coef_univ_work_and_school_asc 8.180927 0.1073 \n", + " value best \\\n", + "param_name \n", + "0 0.000000 0.000000 \n", + "coef_can_walk_to_work_and_school 0.284832 0.284832 \n", + "coef_can_walk_to_work_school2 0.811379 0.811379 \n", + "coef_can_walk_to_work_work2 0.600928 0.600928 \n", + "coef_driving_age_child_school2_asc -3.209418 -3.209418 \n", + "coef_driving_age_child_work_and_school_asc -4.565091 -4.565091 \n", + "coef_female_school1 0.000463 0.000463 \n", + "coef_female_school2 -0.016856 -0.016856 \n", + "coef_female_work1 0.333342 0.333342 \n", + "coef_female_work2 -0.219862 -0.219862 \n", + "coef_female_work_and_school -0.265847 -0.265847 \n", + "coef_few_cars_than_drivers_school2 -0.297623 -0.297623 \n", + "coef_ft_worker_work2_asc -3.494595 -3.494595 \n", + "coef_hh_income_gt_50k_school1 0.034700 0.034700 \n", + "coef_hh_income_gt_50k_student_work_and_school -0.128428 -0.128428 \n", + "coef_hh_income_gt_50k_work -0.286159 -0.286159 \n", + "coef_hh_income_gt_50k_worker_work_and_school 0.034700 0.034700 \n", + "coef_home_urban_school1 -0.136100 -0.136100 \n", + "coef_home_urban_school2 0.161745 0.161745 \n", + "coef_home_urban_work1 -0.122770 -0.122770 \n", + "coef_home_urban_work2 0.142218 0.142218 \n", + "coef_home_urban_work_and_school -0.436835 -0.436835 \n", + "coef_no_cars_in_hh_school2 -1.479517 -1.479517 \n", + "coef_no_cars_in_hh_work2 -1.524960 -1.524960 \n", + "coef_no_cars_in_hh_work_and_school -1.244512 -1.244512 \n", + "coef_non_family_hh_category1 -0.250000 -0.250000 \n", + "coef_non_family_hh_category2 -0.091298 -0.091298 \n", + "coef_non_student_goes_to_school 3.883000 3.883000 \n", + "coef_num_non_workers_in_hh_school1 0.257400 0.257400 \n", + "coef_num_preschool_in_hh_school1 -0.133500 -0.133500 \n", + "coef_num_preschool_in_hh_school2 -0.796350 -0.796350 \n", + "coef_num_preschool_in_hh_work1 0.125045 0.125045 \n", + "coef_num_preschool_in_hh_work2 -0.126183 -0.126183 \n", + "coef_num_preschool_in_hh_work_and_school -0.070125 -0.070125 \n", + "coef_num_under_16_not_at_school_school2 -0.015345 -0.015345 \n", + "coef_num_under_16_not_at_school_work2 0.168260 0.168260 \n", + "coef_num_under_16_not_at_school_work_and_school -0.192330 -0.192330 \n", + "coef_pre_driving_age_child_school2_asc -4.210709 -4.210709 \n", + "coef_pt_worker_work2_asc -3.079547 -3.079547 \n", + "coef_round_trip_auto_time_to_work_school2 -0.005959 -0.005959 \n", + "coef_round_trip_auto_time_to_work_work2 -0.001855 -0.001855 \n", + "coef_round_trip_auto_time_to_work_work_and_school -0.002208 -0.002208 \n", + "coef_student_employed 2.918973 2.918973 \n", + "coef_unavailable -999.000000 -999.000000 \n", + "coef_under_35_school1 0.721800 0.721800 \n", + "coef_under_35_school2 1.230550 1.230550 \n", + "coef_under_35_work1 -0.458863 -0.458863 \n", + "coef_under_35_work2 0.005614 0.005614 \n", + "coef_under_35_work_and_school 1.149726 1.149726 \n", + "coef_univ_school2_asc -3.640737 -3.640737 \n", + "coef_univ_work1_asc 2.209708 2.209708 \n", + "coef_univ_work2_asc -1.472430 -1.472430 \n", + "coef_univ_work_and_school_asc 0.173386 0.173386 \n", "\n", - " nullvalue minimum \\\n", - "0 0.0 0.0 \n", - "coef_can_walk_to_work_and_school 0.0 NaN \n", - "coef_can_walk_to_work_school2 0.0 NaN \n", - "coef_can_walk_to_work_work2 0.0 NaN \n", - "coef_driving_age_child_school2_asc 0.0 NaN \n", - "coef_driving_age_child_work_and_school_asc 0.0 NaN \n", - "coef_female_school1 0.0 NaN \n", - "coef_female_school2 0.0 NaN \n", - "coef_female_work1 0.0 NaN \n", - "coef_female_work2 0.0 NaN \n", - "coef_female_work_and_school 0.0 NaN \n", - "coef_few_cars_than_drivers_school2 0.0 NaN \n", - "coef_ft_worker_work2_asc 0.0 NaN \n", - "coef_hh_income_gt_50k_school1 0.0 NaN \n", - "coef_hh_income_gt_50k_student_work_and_school 0.0 NaN \n", - "coef_hh_income_gt_50k_work 0.0 NaN \n", - "coef_hh_income_gt_50k_worker_work_and_school 0.0 NaN \n", - "coef_home_urban_school1 0.0 NaN \n", - "coef_home_urban_school2 0.0 NaN \n", - "coef_home_urban_work1 0.0 NaN \n", - "coef_home_urban_work2 0.0 NaN \n", - "coef_home_urban_work_and_school 0.0 NaN \n", - "coef_no_cars_in_hh_school2 0.0 NaN \n", - "coef_no_cars_in_hh_work2 0.0 NaN \n", - "coef_no_cars_in_hh_work_and_school 0.0 NaN \n", - "coef_non_family_hh_category1 0.0 NaN \n", - "coef_non_family_hh_category2 0.0 NaN \n", - "coef_non_student_goes_to_school 0.0 NaN \n", - "coef_num_non_workers_in_hh_school1 0.0 NaN \n", - "coef_num_preschool_in_hh_school1 0.0 NaN \n", - "coef_num_preschool_in_hh_school2 0.0 NaN \n", - "coef_num_preschool_in_hh_work1 0.0 NaN \n", - "coef_num_preschool_in_hh_work2 0.0 NaN \n", - "coef_num_preschool_in_hh_work_and_school 0.0 NaN \n", - "coef_num_under_16_not_at_school_school2 0.0 NaN \n", - "coef_num_under_16_not_at_school_work2 0.0 NaN \n", - "coef_num_under_16_not_at_school_work_and_school 0.0 NaN \n", - "coef_pre_driving_age_child_school2_asc 0.0 NaN \n", - "coef_pt_worker_work2_asc 0.0 NaN \n", - "coef_round_trip_auto_time_to_work_school2 0.0 NaN \n", - "coef_round_trip_auto_time_to_work_work2 0.0 NaN \n", - "coef_round_trip_auto_time_to_work_work_and_school 0.0 NaN \n", - "coef_student_employed 0.0 NaN \n", - "coef_unavailable 0.0 NaN \n", - "coef_under_35_school1 0.0 NaN \n", - "coef_under_35_school2 0.0 NaN \n", - "coef_under_35_work1 0.0 NaN \n", - "coef_under_35_work2 0.0 NaN \n", - "coef_under_35_work_and_school 0.0 NaN \n", - "coef_univ_school2_asc 0.0 NaN \n", - "coef_univ_work1_asc 0.0 NaN \n", - "coef_univ_work2_asc 0.0 NaN \n", - "coef_univ_work_and_school_asc 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "0 0.0000 0.0 \n", + "coef_can_walk_to_work_and_school 0.1391 -50.0 \n", + "coef_can_walk_to_work_school2 0.7114 -50.0 \n", + "coef_can_walk_to_work_work2 0.5268 -50.0 \n", + "coef_driving_age_child_school2_asc -3.1360 -50.0 \n", + "coef_driving_age_child_work_and_school_asc -4.4362 -50.0 \n", + "coef_female_school1 0.1592 -50.0 \n", + "coef_female_school2 0.1140 -50.0 \n", + "coef_female_work1 0.1737 -50.0 \n", + "coef_female_work2 -0.2255 -50.0 \n", + "coef_female_work_and_school -0.3442 -50.0 \n", + "coef_few_cars_than_drivers_school2 -0.5759 -50.0 \n", + "coef_ft_worker_work2_asc -3.3781 -50.0 \n", + "coef_hh_income_gt_50k_school1 0.0347 -50.0 \n", + "coef_hh_income_gt_50k_student_work_and_school -0.0528 -50.0 \n", + "coef_hh_income_gt_50k_work -0.0528 -50.0 \n", + "coef_hh_income_gt_50k_worker_work_and_school 0.0347 -50.0 \n", + "coef_home_urban_school1 -0.1361 -50.0 \n", + "coef_home_urban_school2 0.3170 -50.0 \n", + "coef_home_urban_work1 -0.2831 -50.0 \n", + "coef_home_urban_work2 0.2308 -50.0 \n", + "coef_home_urban_work_and_school -0.3509 -50.0 \n", + "coef_no_cars_in_hh_school2 -1.4130 -50.0 \n", + "coef_no_cars_in_hh_work2 -1.3060 -50.0 \n", + "coef_no_cars_in_hh_work_and_school -1.3020 -50.0 \n", + "coef_non_family_hh_category1 -0.2500 -50.0 \n", + "coef_non_family_hh_category2 -0.1792 -50.0 \n", + "coef_non_student_goes_to_school 3.8830 -50.0 \n", + "coef_num_non_workers_in_hh_school1 0.2574 -50.0 \n", + "coef_num_preschool_in_hh_school1 -0.1335 -50.0 \n", + "coef_num_preschool_in_hh_school2 -0.5577 -50.0 \n", + "coef_num_preschool_in_hh_work1 0.2191 -50.0 \n", + "coef_num_preschool_in_hh_work2 -0.1478 -50.0 \n", + "coef_num_preschool_in_hh_work_and_school -0.1251 -50.0 \n", + "coef_num_under_16_not_at_school_school2 0.0866 -50.0 \n", + "coef_num_under_16_not_at_school_work2 0.1804 -50.0 \n", + "coef_num_under_16_not_at_school_work_and_school -0.1955 -50.0 \n", + "coef_pre_driving_age_child_school2_asc -3.9703 -50.0 \n", + "coef_pt_worker_work2_asc -3.0476 -50.0 \n", + "coef_round_trip_auto_time_to_work_school2 -0.0034 -50.0 \n", + "coef_round_trip_auto_time_to_work_work2 -0.0035 -50.0 \n", + "coef_round_trip_auto_time_to_work_work_and_school -0.0031 -50.0 \n", + "coef_student_employed 3.0140 -50.0 \n", + "coef_unavailable -999.0000 -999.0 \n", + "coef_under_35_school1 0.7218 -50.0 \n", + "coef_under_35_school2 1.2750 -50.0 \n", + "coef_under_35_work1 -0.4629 -50.0 \n", + "coef_under_35_work2 -0.1375 -50.0 \n", + "coef_under_35_work_and_school 0.9761 -50.0 \n", + "coef_univ_school2_asc -3.7429 -50.0 \n", + "coef_univ_work1_asc 2.1660 -50.0 \n", + "coef_univ_work2_asc -1.3965 -50.0 \n", + "coef_univ_work_and_school_asc 0.1073 -50.0 \n", "\n", - " maximum holdfast note \\\n", - "0 0.0 1 \n", - "coef_can_walk_to_work_and_school NaN 0 \n", - "coef_can_walk_to_work_school2 NaN 0 \n", - "coef_can_walk_to_work_work2 NaN 0 \n", - "coef_driving_age_child_school2_asc NaN 0 \n", - "coef_driving_age_child_work_and_school_asc NaN 0 \n", - "coef_female_school1 NaN 0 \n", - "coef_female_school2 NaN 0 \n", - "coef_female_work1 NaN 0 \n", - "coef_female_work2 NaN 0 \n", - "coef_female_work_and_school NaN 0 \n", - "coef_few_cars_than_drivers_school2 NaN 0 \n", - "coef_ft_worker_work2_asc NaN 0 \n", - "coef_hh_income_gt_50k_school1 NaN 0 \n", - "coef_hh_income_gt_50k_student_work_and_school NaN 0 \n", - "coef_hh_income_gt_50k_work NaN 0 \n", - "coef_hh_income_gt_50k_worker_work_and_school NaN 0 \n", - "coef_home_urban_school1 NaN 0 \n", - "coef_home_urban_school2 NaN 0 \n", - "coef_home_urban_work1 NaN 0 \n", - "coef_home_urban_work2 NaN 0 \n", - "coef_home_urban_work_and_school NaN 0 \n", - "coef_no_cars_in_hh_school2 NaN 0 \n", - "coef_no_cars_in_hh_work2 NaN 0 \n", - "coef_no_cars_in_hh_work_and_school NaN 0 \n", - "coef_non_family_hh_category1 NaN 0 \n", - "coef_non_family_hh_category2 NaN 0 \n", - "coef_non_student_goes_to_school NaN 0 \n", - "coef_num_non_workers_in_hh_school1 NaN 0 \n", - "coef_num_preschool_in_hh_school1 NaN 0 \n", - "coef_num_preschool_in_hh_school2 NaN 0 \n", - "coef_num_preschool_in_hh_work1 NaN 0 \n", - "coef_num_preschool_in_hh_work2 NaN 0 \n", - "coef_num_preschool_in_hh_work_and_school NaN 0 \n", - "coef_num_under_16_not_at_school_school2 NaN 0 \n", - "coef_num_under_16_not_at_school_work2 NaN 0 \n", - "coef_num_under_16_not_at_school_work_and_school NaN 0 \n", - "coef_pre_driving_age_child_school2_asc NaN 0 \n", - "coef_pt_worker_work2_asc NaN 0 \n", - "coef_round_trip_auto_time_to_work_school2 NaN 0 \n", - "coef_round_trip_auto_time_to_work_work2 NaN 0 \n", - "coef_round_trip_auto_time_to_work_work_and_school NaN 0 \n", - "coef_student_employed NaN 0 \n", - "coef_unavailable NaN 1 \n", - "coef_under_35_school1 NaN 0 \n", - "coef_under_35_school2 NaN 0 \n", - "coef_under_35_work1 NaN 0 \n", - "coef_under_35_work2 NaN 0 \n", - "coef_under_35_work_and_school NaN 0 \n", - "coef_univ_school2_asc NaN 0 \n", - "coef_univ_work1_asc NaN 0 \n", - "coef_univ_work2_asc NaN 0 \n", - "coef_univ_work_and_school_asc NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "0 0.0 0.0 \n", + "coef_can_walk_to_work_and_school 50.0 0.0 \n", + "coef_can_walk_to_work_school2 50.0 0.0 \n", + "coef_can_walk_to_work_work2 50.0 0.0 \n", + "coef_driving_age_child_school2_asc 50.0 0.0 \n", + "coef_driving_age_child_work_and_school_asc 50.0 0.0 \n", + "coef_female_school1 50.0 0.0 \n", + "coef_female_school2 50.0 0.0 \n", + "coef_female_work1 50.0 0.0 \n", + "coef_female_work2 50.0 0.0 \n", + "coef_female_work_and_school 50.0 0.0 \n", + "coef_few_cars_than_drivers_school2 50.0 0.0 \n", + "coef_ft_worker_work2_asc 50.0 0.0 \n", + "coef_hh_income_gt_50k_school1 50.0 0.0 \n", + "coef_hh_income_gt_50k_student_work_and_school 50.0 0.0 \n", + "coef_hh_income_gt_50k_work 50.0 0.0 \n", + "coef_hh_income_gt_50k_worker_work_and_school 50.0 0.0 \n", + "coef_home_urban_school1 50.0 0.0 \n", + "coef_home_urban_school2 50.0 0.0 \n", + "coef_home_urban_work1 50.0 0.0 \n", + "coef_home_urban_work2 50.0 0.0 \n", + "coef_home_urban_work_and_school 50.0 0.0 \n", + "coef_no_cars_in_hh_school2 50.0 0.0 \n", + "coef_no_cars_in_hh_work2 50.0 0.0 \n", + "coef_no_cars_in_hh_work_and_school 50.0 0.0 \n", + "coef_non_family_hh_category1 50.0 0.0 \n", + "coef_non_family_hh_category2 50.0 0.0 \n", + "coef_non_student_goes_to_school 50.0 0.0 \n", + "coef_num_non_workers_in_hh_school1 50.0 0.0 \n", + "coef_num_preschool_in_hh_school1 50.0 0.0 \n", + "coef_num_preschool_in_hh_school2 50.0 0.0 \n", + "coef_num_preschool_in_hh_work1 50.0 0.0 \n", + "coef_num_preschool_in_hh_work2 50.0 0.0 \n", + "coef_num_preschool_in_hh_work_and_school 50.0 0.0 \n", + "coef_num_under_16_not_at_school_school2 50.0 0.0 \n", + "coef_num_under_16_not_at_school_work2 50.0 0.0 \n", + "coef_num_under_16_not_at_school_work_and_school 50.0 0.0 \n", + "coef_pre_driving_age_child_school2_asc 50.0 0.0 \n", + "coef_pt_worker_work2_asc 50.0 0.0 \n", + "coef_round_trip_auto_time_to_work_school2 50.0 0.0 \n", + "coef_round_trip_auto_time_to_work_work2 50.0 0.0 \n", + "coef_round_trip_auto_time_to_work_work_and_school 50.0 0.0 \n", + "coef_student_employed 50.0 0.0 \n", + "coef_unavailable -999.0 0.0 \n", + "coef_under_35_school1 50.0 0.0 \n", + "coef_under_35_school2 50.0 0.0 \n", + "coef_under_35_work1 50.0 0.0 \n", + "coef_under_35_work2 50.0 0.0 \n", + "coef_under_35_work_and_school 50.0 0.0 \n", + "coef_univ_school2_asc 50.0 0.0 \n", + "coef_univ_work1_asc 50.0 0.0 \n", + "coef_univ_work2_asc 50.0 0.0 \n", + "coef_univ_work_and_school_asc 50.0 0.0 \n", "\n", - " best \n", - "0 0.000000 \n", - "coef_can_walk_to_work_and_school 0.071630 \n", - "coef_can_walk_to_work_school2 1.368092 \n", - "coef_can_walk_to_work_work2 0.651120 \n", - "coef_driving_age_child_school2_asc -13.067731 \n", - "coef_driving_age_child_work_and_school_asc -12.605997 \n", - "coef_female_school1 0.247086 \n", - "coef_female_school2 -0.301339 \n", - "coef_female_work1 -2.242748 \n", - "coef_female_work2 -0.387411 \n", - "coef_female_work_and_school -3.218280 \n", - "coef_few_cars_than_drivers_school2 -0.862451 \n", - "coef_ft_worker_work2_asc -5.517933 \n", - "coef_hh_income_gt_50k_school1 0.034700 \n", - "coef_hh_income_gt_50k_student_work_and_school -0.921175 \n", - "coef_hh_income_gt_50k_work -1.418551 \n", - "coef_hh_income_gt_50k_worker_work_and_school 0.034700 \n", - "coef_home_urban_school1 -0.136100 \n", - "coef_home_urban_school2 -8.455615 \n", - "coef_home_urban_work1 4.026796 \n", - "coef_home_urban_work2 2.624854 \n", - "coef_home_urban_work_and_school -0.447070 \n", - "coef_no_cars_in_hh_school2 -0.620465 \n", - "coef_no_cars_in_hh_work2 -0.725967 \n", - "coef_no_cars_in_hh_work_and_school -0.775934 \n", - "coef_non_family_hh_category1 -0.250000 \n", - "coef_non_family_hh_category2 5.000771 \n", - "coef_non_student_goes_to_school 3.883000 \n", - "coef_num_non_workers_in_hh_school1 0.257400 \n", - "coef_num_preschool_in_hh_school1 -0.133500 \n", - "coef_num_preschool_in_hh_school2 0.356660 \n", - "coef_num_preschool_in_hh_work1 -2.930501 \n", - "coef_num_preschool_in_hh_work2 0.225173 \n", - "coef_num_preschool_in_hh_work_and_school -29.197569 \n", - "coef_num_under_16_not_at_school_school2 -0.638293 \n", - "coef_num_under_16_not_at_school_work2 -0.118991 \n", - "coef_num_under_16_not_at_school_work_and_school -15.357907 \n", - "coef_pre_driving_age_child_school2_asc 3.679726 \n", - "coef_pt_worker_work2_asc -4.743242 \n", - "coef_round_trip_auto_time_to_work_school2 0.064411 \n", - "coef_round_trip_auto_time_to_work_work2 -0.025905 \n", - "coef_round_trip_auto_time_to_work_work_and_school -0.021804 \n", - "coef_student_employed 13.457255 \n", - "coef_unavailable -999.000000 \n", - "coef_under_35_school1 0.721800 \n", - "coef_under_35_school2 15.011164 \n", - "coef_under_35_work1 1.038242 \n", - "coef_under_35_work2 -0.253875 \n", - "coef_under_35_work_and_school 2.257035 \n", - "coef_univ_school2_asc -10.233810 \n", - "coef_univ_work1_asc 6.475896 \n", - "coef_univ_work2_asc 4.833029 \n", - "coef_univ_work_and_school_asc 8.180927 " + " holdfast \n", + "param_name \n", + "0 1 \n", + "coef_can_walk_to_work_and_school 0 \n", + "coef_can_walk_to_work_school2 0 \n", + "coef_can_walk_to_work_work2 0 \n", + "coef_driving_age_child_school2_asc 0 \n", + "coef_driving_age_child_work_and_school_asc 0 \n", + "coef_female_school1 0 \n", + "coef_female_school2 0 \n", + "coef_female_work1 0 \n", + "coef_female_work2 0 \n", + "coef_female_work_and_school 0 \n", + "coef_few_cars_than_drivers_school2 0 \n", + "coef_ft_worker_work2_asc 0 \n", + "coef_hh_income_gt_50k_school1 0 \n", + "coef_hh_income_gt_50k_student_work_and_school 0 \n", + "coef_hh_income_gt_50k_work 0 \n", + "coef_hh_income_gt_50k_worker_work_and_school 0 \n", + "coef_home_urban_school1 0 \n", + "coef_home_urban_school2 0 \n", + "coef_home_urban_work1 0 \n", + "coef_home_urban_work2 0 \n", + "coef_home_urban_work_and_school 0 \n", + "coef_no_cars_in_hh_school2 0 \n", + "coef_no_cars_in_hh_work2 0 \n", + "coef_no_cars_in_hh_work_and_school 0 \n", + "coef_non_family_hh_category1 0 \n", + "coef_non_family_hh_category2 0 \n", + "coef_non_student_goes_to_school 0 \n", + "coef_num_non_workers_in_hh_school1 0 \n", + "coef_num_preschool_in_hh_school1 0 \n", + "coef_num_preschool_in_hh_school2 0 \n", + "coef_num_preschool_in_hh_work1 0 \n", + "coef_num_preschool_in_hh_work2 0 \n", + "coef_num_preschool_in_hh_work_and_school 0 \n", + "coef_num_under_16_not_at_school_school2 0 \n", + "coef_num_under_16_not_at_school_work2 0 \n", + "coef_num_under_16_not_at_school_work_and_school 0 \n", + "coef_pre_driving_age_child_school2_asc 0 \n", + "coef_pt_worker_work2_asc 0 \n", + "coef_round_trip_auto_time_to_work_school2 0 \n", + "coef_round_trip_auto_time_to_work_work2 0 \n", + "coef_round_trip_auto_time_to_work_work_and_school 0 \n", + "coef_student_employed 0 \n", + "coef_unavailable 1 \n", + "coef_under_35_school1 0 \n", + "coef_under_35_school2 0 \n", + "coef_under_35_work1 0 \n", + "coef_under_35_work2 0 \n", + "coef_under_35_work_and_school 0 \n", + "coef_univ_school2_asc 0 \n", + "coef_univ_work1_asc 0 \n", + "coef_univ_work2_asc 0 \n", + "coef_univ_work_and_school_asc 0 " ] }, "metadata": {}, @@ -2039,12 +2040,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate()\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.771611294971759e-29 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " model.estimate()\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -2064,51 +2061,51 @@ " \n", " \n", " coef_can_walk_to_work_and_school\n", - " 0.071630\n", + " 0.284832\n", " \n", " \n", " coef_can_walk_to_work_school2\n", - " 1.368092\n", + " 0.811379\n", " \n", " \n", " coef_can_walk_to_work_work2\n", - " 0.651120\n", + " 0.600928\n", " \n", " \n", " coef_driving_age_child_school2_asc\n", - " -13.067731\n", + " -3.209418\n", " \n", " \n", " coef_driving_age_child_work_and_school_asc\n", - " -12.605997\n", + " -4.565091\n", " \n", " \n", " coef_female_school1\n", - " 0.247086\n", + " 0.000463\n", " \n", " \n", " coef_female_school2\n", - " -0.301339\n", + " -0.016856\n", " \n", " \n", " coef_female_work1\n", - " -2.242748\n", + " 0.333342\n", " \n", " \n", " coef_female_work2\n", - " -0.387411\n", + " -0.219862\n", " \n", " \n", " coef_female_work_and_school\n", - " -3.218280\n", + " -0.265847\n", " \n", " \n", " coef_few_cars_than_drivers_school2\n", - " -0.862451\n", + " -0.297623\n", " \n", " \n", " coef_ft_worker_work2_asc\n", - " -5.517933\n", + " -3.494595\n", " \n", " \n", " coef_hh_income_gt_50k_school1\n", @@ -2116,11 +2113,11 @@ " \n", " \n", " coef_hh_income_gt_50k_student_work_and_school\n", - " -0.921175\n", + " -0.128428\n", " \n", " \n", " coef_hh_income_gt_50k_work\n", - " -1.418551\n", + " -0.286159\n", " \n", " \n", " coef_hh_income_gt_50k_worker_work_and_school\n", @@ -2132,31 +2129,31 @@ " \n", " \n", " coef_home_urban_school2\n", - " -8.455615\n", + " 0.161745\n", " \n", " \n", " coef_home_urban_work1\n", - " 4.026796\n", + " -0.122770\n", " \n", " \n", " coef_home_urban_work2\n", - " 2.624854\n", + " 0.142218\n", " \n", " \n", " coef_home_urban_work_and_school\n", - " -0.447070\n", + " -0.436835\n", " \n", " \n", " coef_no_cars_in_hh_school2\n", - " -0.620465\n", + " -1.479517\n", " \n", " \n", " coef_no_cars_in_hh_work2\n", - " -0.725967\n", + " -1.524960\n", " \n", " \n", " coef_no_cars_in_hh_work_and_school\n", - " -0.775934\n", + " -1.244512\n", " \n", " \n", " coef_non_family_hh_category1\n", @@ -2164,7 +2161,7 @@ " \n", " \n", " coef_non_family_hh_category2\n", - " 5.000771\n", + " -0.091298\n", " \n", " \n", " coef_non_student_goes_to_school\n", @@ -2180,55 +2177,55 @@ " \n", " \n", " coef_num_preschool_in_hh_school2\n", - " 0.356660\n", + " -0.796350\n", " \n", " \n", " coef_num_preschool_in_hh_work1\n", - " -2.930501\n", + " 0.125045\n", " \n", " \n", " coef_num_preschool_in_hh_work2\n", - " 0.225173\n", + " -0.126183\n", " \n", " \n", " coef_num_preschool_in_hh_work_and_school\n", - " -29.197569\n", + " -0.070125\n", " \n", " \n", " coef_num_under_16_not_at_school_school2\n", - " -0.638293\n", + " -0.015345\n", " \n", " \n", " coef_num_under_16_not_at_school_work2\n", - " -0.118991\n", + " 0.168260\n", " \n", " \n", " coef_num_under_16_not_at_school_work_and_school\n", - " -15.357907\n", + " -0.192330\n", " \n", " \n", " coef_pre_driving_age_child_school2_asc\n", - " 3.679726\n", + " -4.210709\n", " \n", " \n", " coef_pt_worker_work2_asc\n", - " -4.743242\n", + " -3.079547\n", " \n", " \n", " coef_round_trip_auto_time_to_work_school2\n", - " 0.064411\n", + " -0.005959\n", " \n", " \n", " coef_round_trip_auto_time_to_work_work2\n", - " -0.025905\n", + " -0.001855\n", " \n", " \n", " coef_round_trip_auto_time_to_work_work_and_school\n", - " -0.021804\n", + " -0.002208\n", " \n", " \n", " coef_student_employed\n", - " 13.457255\n", + " 2.918973\n", " \n", " \n", " coef_unavailable\n", @@ -2240,38 +2237,38 @@ " \n", " \n", " coef_under_35_school2\n", - " 15.011164\n", + " 1.230550\n", " \n", " \n", " coef_under_35_work1\n", - " 1.038242\n", + " -0.458863\n", " \n", " \n", " coef_under_35_work2\n", - " -0.253875\n", + " 0.005614\n", " \n", " \n", " coef_under_35_work_and_school\n", - " 2.257035\n", + " 1.149726\n", " \n", " \n", " coef_univ_school2_asc\n", - " -10.233810\n", + " -3.640737\n", " \n", " \n", " coef_univ_work1_asc\n", - " 6.475896\n", + " 2.209708\n", " \n", " \n", " coef_univ_work2_asc\n", - " 4.833029\n", + " -1.472430\n", " \n", " \n", " coef_univ_work_and_school_asc\n", - " 8.180927\n", + " 0.173386\n", " \n", " \n", - "loglike-410.2201502048449d_loglike\n", + "
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00.000000e+000.000000
coef_can_walk_to_work_and_school-2.159761e-05-0.000048
coef_can_walk_to_work_school2-7.694778e-050.000193
coef_can_walk_to_work_work24.202731e-05-0.000216
coef_driving_age_child_school2_asc-4.255256e-08-0.000081
coef_driving_age_child_work_and_school_asc2.167724e-050.000044
coef_female_school1-6.957308e-05-0.000091
coef_female_school2-2.554309e-040.000133
coef_female_work1-7.357671e-050.000084
coef_female_work28.686757e-05-0.000073
coef_female_work_and_school1.188196e-050.000059
coef_few_cars_than_drivers_school2-2.286678e-040.000044
coef_ft_worker_work2_asc5.501466e-05-0.000349
coef_hh_income_gt_50k_school10.000000e+000.000000
coef_hh_income_gt_50k_student_work_and_school6.367109e-06-0.000180
coef_hh_income_gt_50k_work-1.223654e-050.000049
coef_hh_income_gt_50k_worker_work_and_school0.000000e+000.000000
coef_home_urban_school10.000000e+000.000000
coef_home_urban_school2-1.028755e-040.000081
coef_home_urban_work1-4.465713e-05-0.000036
coef_home_urban_work21.557017e-04-0.000060
coef_home_urban_work_and_school1.077213e-040.000041
coef_no_cars_in_hh_school28.945645e-05-0.000061
coef_no_cars_in_hh_work23.899664e-05-0.000129
coef_no_cars_in_hh_work_and_school-3.695621e-050.000036
coef_non_family_hh_category10.000000e+000.000000
coef_non_family_hh_category21.251878e-100.000057
coef_non_student_goes_to_school0.000000e+000.000000
coef_num_non_workers_in_hh_school10.000000e+000.000000
coef_num_preschool_in_hh_school10.000000e+000.000000
coef_num_preschool_in_hh_school23.508996e-050.000013
coef_num_preschool_in_hh_work1-2.217197e-050.000012
coef_num_preschool_in_hh_work28.498540e-050.000204
coef_num_preschool_in_hh_work_and_school-3.475886e-12-0.000049
coef_num_under_16_not_at_school_school2-8.486532e-050.000086
coef_num_under_16_not_at_school_work2-3.959448e-050.000236
coef_num_under_16_not_at_school_work_and_school-2.351049e-07-0.000025
coef_pre_driving_age_child_school2_asc6.171829e-060.000137
coef_pt_worker_work2_asc1.420463e-04-0.000007
coef_round_trip_auto_time_to_work_school2-4.638296e-030.000126
coef_round_trip_auto_time_to_work_work23.215960e-030.000199
coef_round_trip_auto_time_to_work_work_and_school1.679772e-030.000093
coef_student_employed2.170492e-050.000041
coef_unavailable0.000000e+000.000000
coef_under_35_school10.000000e+000.000000
coef_under_35_school2-1.082319e-04-0.000063
coef_under_35_work1-9.399930e-050.000101
coef_under_35_work27.788570e-05-0.000136
coef_under_35_work_and_school-1.237585e-04-0.000093
coef_univ_school2_asc-1.090048e-040.000045
coef_univ_work1_asc-4.465713e-050.000111
coef_univ_work2_asc-4.135926e-050.000065
coef_univ_work_and_school_asc8.604407e-05-0.000179
nit50nfev84njev50status0message'Optimization terminated successfully'successTrueelapsed_time0:00:03.886165method'slsqp'n_cases2620iteration_number50logloss0.15657257641406294" + "nit34nfev39njev34status0message'Optimization terminated successfully'successTrueelapsed_time0:00:01.181912method'slsqp'n_cases31768iteration_number34loglike-4677.236180934496" ], "text/plain": [ "┣ x: 0 0.000000\n", - "┃ coef_can_walk_to_work_and_school 0.071630\n", - "┃ coef_can_walk_to_work_school2 1.368092\n", - "┃ coef_can_walk_to_work_work2 0.651120\n", - "┃ coef_driving_age_child_school2_asc -13.067731\n", - "┃ coef_driving_age_child_work_and_school_asc -12.605997\n", - "┃ coef_female_school1 0.247086\n", - "┃ coef_female_school2 -0.301339\n", - "┃ coef_female_work1 -2.242748\n", - "┃ coef_female_work2 -0.387411\n", - "┃ coef_female_work_and_school -3.218280\n", - "┃ coef_few_cars_than_drivers_school2 -0.862451\n", - "┃ coef_ft_worker_work2_asc -5.517933\n", + "┃ coef_can_walk_to_work_and_school 0.284832\n", + "┃ coef_can_walk_to_work_school2 0.811379\n", + "┃ coef_can_walk_to_work_work2 0.600928\n", + "┃ coef_driving_age_child_school2_asc -3.209418\n", + "┃ coef_driving_age_child_work_and_school_asc -4.565091\n", + "┃ coef_female_school1 0.000463\n", + "┃ coef_female_school2 -0.016856\n", + "┃ coef_female_work1 0.333342\n", + "┃ coef_female_work2 -0.219862\n", + "┃ coef_female_work_and_school -0.265847\n", + "┃ coef_few_cars_than_drivers_school2 -0.297623\n", + "┃ coef_ft_worker_work2_asc -3.494595\n", "┃ coef_hh_income_gt_50k_school1 0.034700\n", - "┃ coef_hh_income_gt_50k_student_work_and_school -0.921175\n", - "┃ coef_hh_income_gt_50k_work -1.418551\n", + "┃ coef_hh_income_gt_50k_student_work_and_school -0.128428\n", + "┃ coef_hh_income_gt_50k_work -0.286159\n", "┃ coef_hh_income_gt_50k_worker_work_and_school 0.034700\n", "┃ coef_home_urban_school1 -0.136100\n", - "┃ coef_home_urban_school2 -8.455615\n", - "┃ coef_home_urban_work1 4.026796\n", - "┃ coef_home_urban_work2 2.624854\n", - "┃ coef_home_urban_work_and_school -0.447070\n", - "┃ coef_no_cars_in_hh_school2 -0.620465\n", - "┃ coef_no_cars_in_hh_work2 -0.725967\n", - "┃ coef_no_cars_in_hh_work_and_school -0.775934\n", + "┃ coef_home_urban_school2 0.161745\n", + "┃ coef_home_urban_work1 -0.122770\n", + "┃ coef_home_urban_work2 0.142218\n", + "┃ coef_home_urban_work_and_school -0.436835\n", + "┃ coef_no_cars_in_hh_school2 -1.479517\n", + "┃ coef_no_cars_in_hh_work2 -1.524960\n", + "┃ coef_no_cars_in_hh_work_and_school -1.244512\n", "┃ coef_non_family_hh_category1 -0.250000\n", - "┃ coef_non_family_hh_category2 5.000771\n", + "┃ coef_non_family_hh_category2 -0.091298\n", "┃ coef_non_student_goes_to_school 3.883000\n", "┃ coef_num_non_workers_in_hh_school1 0.257400\n", "┃ coef_num_preschool_in_hh_school1 -0.133500\n", - "┃ coef_num_preschool_in_hh_school2 0.356660\n", - "┃ coef_num_preschool_in_hh_work1 -2.930501\n", - "┃ coef_num_preschool_in_hh_work2 0.225173\n", - "┃ coef_num_preschool_in_hh_work_and_school -29.197569\n", - "┃ coef_num_under_16_not_at_school_school2 -0.638293\n", - "┃ coef_num_under_16_not_at_school_work2 -0.118991\n", - "┃ coef_num_under_16_not_at_school_work_and_school -15.357907\n", - "┃ coef_pre_driving_age_child_school2_asc 3.679726\n", - "┃ coef_pt_worker_work2_asc -4.743242\n", - "┃ coef_round_trip_auto_time_to_work_school2 0.064411\n", - "┃ coef_round_trip_auto_time_to_work_work2 -0.025905\n", - "┃ coef_round_trip_auto_time_to_work_work_and_school -0.021804\n", - "┃ coef_student_employed 13.457255\n", + "┃ coef_num_preschool_in_hh_school2 -0.796350\n", + "┃ coef_num_preschool_in_hh_work1 0.125045\n", + "┃ coef_num_preschool_in_hh_work2 -0.126183\n", + "┃ coef_num_preschool_in_hh_work_and_school -0.070125\n", + "┃ coef_num_under_16_not_at_school_school2 -0.015345\n", + "┃ coef_num_under_16_not_at_school_work2 0.168260\n", + "┃ coef_num_under_16_not_at_school_work_and_school -0.192330\n", + "┃ coef_pre_driving_age_child_school2_asc -4.210709\n", + "┃ coef_pt_worker_work2_asc -3.079547\n", + "┃ coef_round_trip_auto_time_to_work_school2 -0.005959\n", + "┃ coef_round_trip_auto_time_to_work_work2 -0.001855\n", + "┃ coef_round_trip_auto_time_to_work_work_and_school -0.002208\n", + "┃ coef_student_employed 2.918973\n", "┃ coef_unavailable -999.000000\n", "┃ coef_under_35_school1 0.721800\n", - "┃ coef_under_35_school2 15.011164\n", - "┃ coef_under_35_work1 1.038242\n", - "┃ coef_under_35_work2 -0.253875\n", - "┃ coef_under_35_work_and_school 2.257035\n", - "┃ coef_univ_school2_asc -10.233810\n", - "┃ coef_univ_work1_asc 6.475896\n", - "┃ coef_univ_work2_asc 4.833029\n", - "┃ coef_univ_work_and_school_asc 8.180927\n", + "┃ coef_under_35_school2 1.230550\n", + "┃ coef_under_35_work1 -0.458863\n", + "┃ coef_under_35_work2 0.005614\n", + "┃ coef_under_35_work_and_school 1.149726\n", + "┃ coef_univ_school2_asc -3.640737\n", + "┃ coef_univ_work1_asc 2.209708\n", + "┃ coef_univ_work2_asc -1.472430\n", + "┃ coef_univ_work_and_school_asc 0.173386\n", "┃ dtype: float64\n", - "┣ loglike: -410.2201502048449\n", - "┣ d_loglike: 0 0.000000e+00\n", - "┃ coef_can_walk_to_work_and_school -2.159761e-05\n", - "┃ coef_can_walk_to_work_school2 -7.694778e-05\n", - "┃ coef_can_walk_to_work_work2 4.202731e-05\n", - "┃ coef_driving_age_child_school2_asc -4.255256e-08\n", - "┃ coef_driving_age_child_work_and_school_asc 2.167724e-05\n", - "┃ coef_female_school1 -6.957308e-05\n", - "┃ coef_female_school2 -2.554309e-04\n", - "┃ coef_female_work1 -7.357671e-05\n", - "┃ coef_female_work2 8.686757e-05\n", - "┃ coef_female_work_and_school 1.188196e-05\n", - "┃ coef_few_cars_than_drivers_school2 -2.286678e-04\n", - "┃ coef_ft_worker_work2_asc 5.501466e-05\n", - "┃ coef_hh_income_gt_50k_school1 0.000000e+00\n", - "┃ coef_hh_income_gt_50k_student_work_and_school 6.367109e-06\n", - "┃ coef_hh_income_gt_50k_work -1.223654e-05\n", - "┃ coef_hh_income_gt_50k_worker_work_and_school 0.000000e+00\n", - "┃ coef_home_urban_school1 0.000000e+00\n", - "┃ coef_home_urban_school2 -1.028755e-04\n", - "┃ coef_home_urban_work1 -4.465713e-05\n", - "┃ coef_home_urban_work2 1.557017e-04\n", - "┃ coef_home_urban_work_and_school 1.077213e-04\n", - "┃ coef_no_cars_in_hh_school2 8.945645e-05\n", - "┃ coef_no_cars_in_hh_work2 3.899664e-05\n", - "┃ coef_no_cars_in_hh_work_and_school -3.695621e-05\n", - "┃ coef_non_family_hh_category1 0.000000e+00\n", - "┃ coef_non_family_hh_category2 1.251878e-10\n", - "┃ coef_non_student_goes_to_school 0.000000e+00\n", - "┃ coef_num_non_workers_in_hh_school1 0.000000e+00\n", - "┃ coef_num_preschool_in_hh_school1 0.000000e+00\n", - "┃ coef_num_preschool_in_hh_school2 3.508996e-05\n", - "┃ coef_num_preschool_in_hh_work1 -2.217197e-05\n", - "┃ coef_num_preschool_in_hh_work2 8.498540e-05\n", - "┃ coef_num_preschool_in_hh_work_and_school -3.475886e-12\n", - "┃ coef_num_under_16_not_at_school_school2 -8.486532e-05\n", - "┃ coef_num_under_16_not_at_school_work2 -3.959448e-05\n", - "┃ coef_num_under_16_not_at_school_work_and_school -2.351049e-07\n", - "┃ coef_pre_driving_age_child_school2_asc 6.171829e-06\n", - "┃ coef_pt_worker_work2_asc 1.420463e-04\n", - "┃ coef_round_trip_auto_time_to_work_school2 -4.638296e-03\n", - "┃ coef_round_trip_auto_time_to_work_work2 3.215960e-03\n", - "┃ coef_round_trip_auto_time_to_work_work_and_school 1.679772e-03\n", - "┃ coef_student_employed 2.170492e-05\n", - "┃ coef_unavailable 0.000000e+00\n", - "┃ coef_under_35_school1 0.000000e+00\n", - "┃ coef_under_35_school2 -1.082319e-04\n", - "┃ coef_under_35_work1 -9.399930e-05\n", - "┃ coef_under_35_work2 7.788570e-05\n", - "┃ coef_under_35_work_and_school -1.237585e-04\n", - "┃ coef_univ_school2_asc -1.090048e-04\n", - "┃ coef_univ_work1_asc -4.465713e-05\n", - "┃ coef_univ_work2_asc -4.135926e-05\n", - "┃ coef_univ_work_and_school_asc 8.604407e-05\n", + "┣ logloss: 0.1472310558088169\n", + "┣ d_logloss: 0 0.000000\n", + "┃ coef_can_walk_to_work_and_school -0.000048\n", + "┃ coef_can_walk_to_work_school2 0.000193\n", + "┃ coef_can_walk_to_work_work2 -0.000216\n", + "┃ coef_driving_age_child_school2_asc -0.000081\n", + "┃ coef_driving_age_child_work_and_school_asc 0.000044\n", + "┃ coef_female_school1 -0.000091\n", + "┃ coef_female_school2 0.000133\n", + "┃ coef_female_work1 0.000084\n", + "┃ coef_female_work2 -0.000073\n", + "┃ coef_female_work_and_school 0.000059\n", + "┃ coef_few_cars_than_drivers_school2 0.000044\n", + "┃ coef_ft_worker_work2_asc -0.000349\n", + "┃ coef_hh_income_gt_50k_school1 0.000000\n", + "┃ coef_hh_income_gt_50k_student_work_and_school -0.000180\n", + "┃ coef_hh_income_gt_50k_work 0.000049\n", + "┃ coef_hh_income_gt_50k_worker_work_and_school 0.000000\n", + "┃ coef_home_urban_school1 0.000000\n", + "┃ coef_home_urban_school2 0.000081\n", + "┃ coef_home_urban_work1 -0.000036\n", + "┃ coef_home_urban_work2 -0.000060\n", + "┃ coef_home_urban_work_and_school 0.000041\n", + "┃ coef_no_cars_in_hh_school2 -0.000061\n", + "┃ coef_no_cars_in_hh_work2 -0.000129\n", + "┃ coef_no_cars_in_hh_work_and_school 0.000036\n", + "┃ coef_non_family_hh_category1 0.000000\n", + "┃ coef_non_family_hh_category2 0.000057\n", + "┃ coef_non_student_goes_to_school 0.000000\n", + "┃ coef_num_non_workers_in_hh_school1 0.000000\n", + "┃ coef_num_preschool_in_hh_school1 0.000000\n", + "┃ coef_num_preschool_in_hh_school2 0.000013\n", + "┃ coef_num_preschool_in_hh_work1 0.000012\n", + "┃ coef_num_preschool_in_hh_work2 0.000204\n", + "┃ coef_num_preschool_in_hh_work_and_school -0.000049\n", + "┃ coef_num_under_16_not_at_school_school2 0.000086\n", + "┃ coef_num_under_16_not_at_school_work2 0.000236\n", + "┃ coef_num_under_16_not_at_school_work_and_school -0.000025\n", + "┃ coef_pre_driving_age_child_school2_asc 0.000137\n", + "┃ coef_pt_worker_work2_asc -0.000007\n", + "┃ coef_round_trip_auto_time_to_work_school2 0.000126\n", + "┃ coef_round_trip_auto_time_to_work_work2 0.000199\n", + "┃ coef_round_trip_auto_time_to_work_work_and_school 0.000093\n", + "┃ coef_student_employed 0.000041\n", + "┃ coef_unavailable 0.000000\n", + "┃ coef_under_35_school1 0.000000\n", + "┃ coef_under_35_school2 -0.000063\n", + "┃ coef_under_35_work1 0.000101\n", + "┃ coef_under_35_work2 -0.000136\n", + "┃ coef_under_35_work_and_school -0.000093\n", + "┃ coef_univ_school2_asc 0.000045\n", + "┃ coef_univ_work1_asc 0.000111\n", + "┃ coef_univ_work2_asc 0.000065\n", + "┃ coef_univ_work_and_school_asc -0.000179\n", "┃ dtype: float64\n", - "┣ nit: 50\n", - "┣ nfev: 84\n", - "┣ njev: 50\n", + "┣ nit: 34\n", + "┣ nfev: 39\n", + "┣ njev: 34\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=3, microseconds=886165)\n", + "┣ elapsed_time: datetime.timedelta(seconds=1, microseconds=181912)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 2620\n", - "┣ iteration_number: 50\n", - "┣ logloss: 0.15657257641406294" + "┣ n_cases: 31768\n", + "┣ iteration_number: 34\n", + "┣ loglike: -4677.236180934496" ] }, "execution_count": 7, @@ -2641,550 +2638,523 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
0 0.00 NA NA NA 0.00fixed value
coef_can_walk_to_work_and_school 0.0716 0.710 0.10 NA 0.00
coef_can_walk_to_work_school2 1.37 0.878 1.56 NA 0.00
coef_can_walk_to_work_work2 0.651 0.397 1.64 NA 0.00
coef_driving_age_child_school2_asc-13.1 4.56e+03-0.00 NA 0.00
coef_driving_age_child_work_and_school_asc-12.6 NA NA[***] 68.07 0.00
coef_female_school1 0.247 1.35 0.18 NA 0.00
coef_female_school2-0.301 0.785-0.38 NA 0.00
coef_female_work1-2.24 1.34-1.68 NA 0.00
coef_female_work2-0.387 0.246-1.57 NA 0.00
coef_female_work_and_school-3.22 1.40-2.30* NA 0.00
coef_few_cars_than_drivers_school2-0.862 0.715-1.21 NA 0.00
coef_ft_worker_work2_asc-5.52 NA NA[***] BIG 0.00
coef_hh_income_gt_50k_school1 0.0347 NA NA[] 0.00 0.00
coef_hh_income_gt_50k_student_work_and_school-0.921 1.85-0.50 NA 0.00
coef_hh_income_gt_50k_work-1.42 1.92-0.74 NA 0.00
coef_hh_income_gt_50k_worker_work_and_school 0.0347 NA NA[] 0.00 0.00
coef_home_urban_school1-0.136 NA NA[] 0.00 0.00
coef_home_urban_school2-8.46 NA NA[***] BIG 0.00
coef_home_urban_work1 4.03 NA NA[***] 165.42 0.00
coef_home_urban_work2 2.62 NA NA[***] 134.83 0.00
coef_home_urban_work_and_school-0.447 NA NA[] 1.59 0.00
coef_no_cars_in_hh_school2-0.620 1.18-0.52 NA 0.00
coef_no_cars_in_hh_work2-0.726 0.336-2.16* NA 0.00
coef_no_cars_in_hh_work_and_school-0.776 0.703-1.10 NA 0.00
coef_non_family_hh_category1-0.250 NA NA[] 0.00 0.00
coef_non_family_hh_category2 5.00 NA NA[] 0.00 0.00
coef_non_student_goes_to_school 3.88 NA NA[] 0.00 0.00
coef_num_non_workers_in_hh_school1 0.257 NA NA[] 0.00 0.00
coef_num_preschool_in_hh_school1-0.134 NA NA[] 0.00 0.00
coef_num_preschool_in_hh_school2 0.357 0.576 0.62 NA 0.00
coef_num_preschool_in_hh_work1-2.93 1.55-1.89 NA 0.00
coef_num_preschool_in_hh_work2 0.225 0.192 1.17 NA 0.00
coef_num_preschool_in_hh_work_and_school-29.2 NA NA[**] 4.26 0.00
coef_num_under_16_not_at_school_school2-0.638 1.02-0.63 NA 0.00
coef_num_under_16_not_at_school_work2-0.119 0.306-0.39 NA 0.00
coef_num_under_16_not_at_school_work_and_school-15.4 2.03e+03-0.01 NA 0.00
coef_pre_driving_age_child_school2_asc 3.68 NA NA[***] 18.81 0.00
coef_pt_worker_work2_asc-4.74 NA NA[***] 562.79 0.00
coef_round_trip_auto_time_to_work_school2 0.0644 0.0331 1.95 NA 0.00
coef_round_trip_auto_time_to_work_work2-0.0259 0.0249-1.04 NA 0.00
coef_round_trip_auto_time_to_work_work_and_school-0.0218 0.0402-0.54 NA 0.00
coef_student_employed 13.5 1.31e+03 0.01 NA 0.00
coef_unavailable-999. NA NA NA 0.00fixed value
coef_under_35_school1 0.722 0.00 NA[] 0.00 0.00
coef_under_35_school2 15.0 1.14e+03 0.01 NA 0.00
coef_under_35_work1 1.04 0.886 1.17 NA 0.00
coef_under_35_work2-0.254 0.245-1.03 NA 0.00
coef_under_35_work_and_school 2.26 1.21 1.87 NA 0.00
coef_univ_school2_asc-10.2 NA NA[***] 556.91 0.00
coef_univ_work1_asc 6.48 NA NA[***] 349.23 0.00
coef_univ_work2_asc 4.83 NA NA[***] 26.10 0.00
coef_univ_work_and_school_asc 8.18 NA NA[***] 132.81 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
0 0.00 0.00 NA 0.00fixed value
coef_can_walk_to_work_and_school 0.285 0.165 1.73 0.00
coef_can_walk_to_work_school2 0.811 0.163 4.97*** 0.00
coef_can_walk_to_work_work2 0.601 0.103 5.81*** 0.00
coef_driving_age_child_school2_asc-3.21 0.230-13.96*** 0.00
coef_driving_age_child_work_and_school_asc-4.57 889.-0.01 0.00
coef_female_school1 0.000463 0.265 0.00 0.00
coef_female_school2-0.0169 0.166-0.10 0.00
coef_female_work1 0.333 0.257 1.30 0.00
coef_female_work2-0.220 0.0801-2.75** 0.00
coef_female_work_and_school-0.266 0.240-1.11 0.00
coef_few_cars_than_drivers_school2-0.298 0.146-2.04* 0.00
coef_ft_worker_work2_asc-3.49 0.110-31.78*** 0.00
coef_hh_income_gt_50k_school1 0.0347 1.34e-05 BIG*** 0.00
coef_hh_income_gt_50k_student_work_and_school-0.128 0.325-0.39 0.00
coef_hh_income_gt_50k_work-0.286 0.351-0.81 0.00
coef_hh_income_gt_50k_worker_work_and_school 0.0347 NA NA 0.00
coef_home_urban_school1-0.136 NA NA 0.00
coef_home_urban_school2 0.162 0.147 1.10 0.00
coef_home_urban_work1-0.123 0.280-0.44 0.00
coef_home_urban_work2 0.142 0.0850 1.67 0.00
coef_home_urban_work_and_school-0.437 0.269-1.62 0.00
coef_no_cars_in_hh_school2-1.48 0.438-3.37*** 0.00
coef_no_cars_in_hh_work2-1.52 0.310-4.92*** 0.00
coef_no_cars_in_hh_work_and_school-1.24 0.334-3.72*** 0.00
coef_non_family_hh_category1-0.250 NA NA 0.00
coef_non_family_hh_category2-0.0913 0.741-0.12 0.00
coef_non_student_goes_to_school 3.88 7.74e-06 BIG*** 0.00
coef_num_non_workers_in_hh_school1 0.257 2.54e-06 BIG*** 0.00
coef_num_preschool_in_hh_school1-0.133 1.09e-06-BIG*** 0.00
coef_num_preschool_in_hh_school2-0.796 0.214-3.72*** 0.00
coef_num_preschool_in_hh_work1 0.125 0.323 0.39 0.00
coef_num_preschool_in_hh_work2-0.126 0.0781-1.62 0.00
coef_num_preschool_in_hh_work_and_school-0.0701 0.322-0.22 0.00
coef_num_under_16_not_at_school_school2-0.0153 0.176-0.09 0.00
coef_num_under_16_not_at_school_work2 0.168 0.0783 2.15* 0.00
coef_num_under_16_not_at_school_work_and_school-0.192 0.210-0.92 0.00
coef_pre_driving_age_child_school2_asc-4.21 0.204-20.62*** 0.00
coef_pt_worker_work2_asc-3.08 0.135-22.84*** 0.00
coef_round_trip_auto_time_to_work_school2-0.00596 0.00317-1.88 0.00
coef_round_trip_auto_time_to_work_work2-0.00185 0.00188-0.99 0.00
coef_round_trip_auto_time_to_work_work_and_school-0.00221 0.00565-0.39 0.00
coef_student_employed 2.92 889. 0.00 0.00
coef_unavailable-999. 0.00 NA 0.00fixed value
coef_under_35_school1 0.722 0.00 NA 0.00
coef_under_35_school2 1.23 0.389 3.16** 0.00
coef_under_35_work1-0.459 0.574-0.80 0.00
coef_under_35_work2 0.00561 0.0823 0.07 0.00
coef_under_35_work_and_school 1.15 0.646 1.78 0.00
coef_univ_school2_asc-3.64 0.415-8.77*** 0.00
coef_univ_work1_asc 2.21 889. 0.00 0.00
coef_univ_work2_asc-1.47 889.-0.00 0.00
coef_univ_work_and_school_asc 0.173 889. 0.00 0.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -3231,18 +3201,7 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3300,85 +3259,85 @@ " \n", " 1\n", " coef_ft_worker_work2_asc\n", - " -5.517933\n", + " -3.494595\n", " F\n", " \n", " \n", " 2\n", " coef_pt_worker_work2_asc\n", - " -4.743242\n", + " -3.079547\n", " F\n", " \n", " \n", " 3\n", " coef_univ_work1_asc\n", - " 6.475896\n", + " 2.209708\n", " F\n", " \n", " \n", " 4\n", " coef_univ_work2_asc\n", - " 4.833029\n", + " -1.472430\n", " F\n", " \n", " \n", " 5\n", " coef_univ_school2_asc\n", - " -10.233810\n", + " -3.640737\n", " F\n", " \n", " \n", " 6\n", " coef_univ_work_and_school_asc\n", - " 8.180927\n", + " 0.173386\n", " F\n", " \n", " \n", " 7\n", " coef_driving_age_child_school2_asc\n", - " -13.067731\n", + " -3.209418\n", " F\n", " \n", " \n", " 8\n", " coef_driving_age_child_work_and_school_asc\n", - " -12.605997\n", + " -4.565091\n", " F\n", " \n", " \n", " 9\n", " coef_pre_driving_age_child_school2_asc\n", - " 3.679726\n", + " -4.210709\n", " F\n", " \n", " \n", " 10\n", " coef_female_work1\n", - " -2.242748\n", + " 0.333342\n", " F\n", " \n", " \n", " 11\n", " coef_female_work2\n", - " -0.387411\n", + " -0.219862\n", " F\n", " \n", " \n", " 12\n", " coef_female_school1\n", - " 0.247086\n", + " 0.000463\n", " F\n", " \n", " \n", " 13\n", " coef_female_school2\n", - " -0.301339\n", + " -0.016856\n", " F\n", " \n", " \n", " 14\n", " coef_female_work_and_school\n", - " -3.218280\n", + " -0.265847\n", " F\n", " \n", " \n", @@ -3390,13 +3349,13 @@ " \n", " 16\n", " coef_under_35_work1\n", - " 1.038242\n", + " -0.458863\n", " F\n", " \n", " \n", " 17\n", " coef_under_35_work2\n", - " -0.253875\n", + " 0.005614\n", " F\n", " \n", " \n", @@ -3408,55 +3367,55 @@ " \n", " 19\n", " coef_under_35_school2\n", - " 15.011164\n", + " 1.230550\n", " F\n", " \n", " \n", " 20\n", " coef_under_35_work_and_school\n", - " 2.257035\n", + " 1.149726\n", " F\n", " \n", " \n", " 21\n", " coef_can_walk_to_work_work2\n", - " 0.651120\n", + " 0.600928\n", " F\n", " \n", " \n", " 22\n", " coef_can_walk_to_work_school2\n", - " 1.368092\n", + " 0.811379\n", " F\n", " \n", " \n", " 23\n", " coef_can_walk_to_work_and_school\n", - " 0.071630\n", + " 0.284832\n", " F\n", " \n", " \n", " 24\n", " coef_round_trip_auto_time_to_work_work2\n", - " -0.025905\n", + " -0.001855\n", " F\n", " \n", " \n", " 25\n", " coef_round_trip_auto_time_to_work_school2\n", - " 0.064411\n", + " -0.005959\n", " F\n", " \n", " \n", " 26\n", " coef_round_trip_auto_time_to_work_work_and_school\n", - " -0.021804\n", + " -0.002208\n", " F\n", " \n", " \n", " 27\n", " coef_student_employed\n", - " 13.457255\n", + " 2.918973\n", " F\n", " \n", " \n", @@ -3468,37 +3427,37 @@ " \n", " 29\n", " coef_no_cars_in_hh_work2\n", - " -0.725967\n", + " -1.524960\n", " F\n", " \n", " \n", " 30\n", " coef_no_cars_in_hh_school2\n", - " -0.620465\n", + " -1.479517\n", " F\n", " \n", " \n", " 31\n", " coef_no_cars_in_hh_work_and_school\n", - " -0.775934\n", + " -1.244512\n", " F\n", " \n", " \n", " 32\n", " coef_few_cars_than_drivers_school2\n", - " -0.862451\n", + " -0.297623\n", " F\n", " \n", " \n", " 33\n", " coef_num_preschool_in_hh_work1\n", - " -2.930501\n", + " 0.125045\n", " F\n", " \n", " \n", " 34\n", " coef_num_preschool_in_hh_work2\n", - " 0.225173\n", + " -0.126183\n", " F\n", " \n", " \n", @@ -3510,13 +3469,13 @@ " \n", " 36\n", " coef_num_preschool_in_hh_school2\n", - " 0.356660\n", + " -0.796350\n", " F\n", " \n", " \n", " 37\n", " coef_num_preschool_in_hh_work_and_school\n", - " -29.197569\n", + " -0.070125\n", " F\n", " \n", " \n", @@ -3528,7 +3487,7 @@ " \n", " 39\n", " coef_hh_income_gt_50k_work\n", - " -1.418551\n", + " -0.286159\n", " F\n", " \n", " \n", @@ -3546,7 +3505,7 @@ " \n", " 42\n", " coef_hh_income_gt_50k_student_work_and_school\n", - " -0.921175\n", + " -0.128428\n", " F\n", " \n", " \n", @@ -3558,37 +3517,37 @@ " \n", " 44\n", " coef_non_family_hh_category2\n", - " 5.000771\n", + " -0.091298\n", " F\n", " \n", " \n", " 45\n", " coef_num_under_16_not_at_school_work2\n", - " -0.118991\n", + " 0.168260\n", " NaN\n", " \n", " \n", " 46\n", " coef_num_under_16_not_at_school_school2\n", - " -0.638293\n", + " -0.015345\n", " NaN\n", " \n", " \n", " 47\n", " coef_num_under_16_not_at_school_work_and_school\n", - " -15.357907\n", + " -0.192330\n", " NaN\n", " \n", " \n", " 48\n", " coef_home_urban_work1\n", - " 4.026796\n", + " -0.122770\n", " NaN\n", " \n", " \n", " 49\n", " coef_home_urban_work2\n", - " 2.624854\n", + " 0.142218\n", " NaN\n", " \n", " \n", @@ -3600,13 +3559,13 @@ " \n", " 51\n", " coef_home_urban_school2\n", - " -8.455615\n", + " 0.161745\n", " NaN\n", " \n", " \n", " 52\n", " coef_home_urban_work_and_school\n", - " -0.447070\n", + " -0.436835\n", " NaN\n", " \n", " \n", @@ -3616,58 +3575,58 @@ "text/plain": [ " coefficient_name value constrain\n", "0 coef_unavailable -999.000000 T\n", - "1 coef_ft_worker_work2_asc -5.517933 F\n", - "2 coef_pt_worker_work2_asc -4.743242 F\n", - "3 coef_univ_work1_asc 6.475896 F\n", - "4 coef_univ_work2_asc 4.833029 F\n", - "5 coef_univ_school2_asc -10.233810 F\n", - "6 coef_univ_work_and_school_asc 8.180927 F\n", - "7 coef_driving_age_child_school2_asc -13.067731 F\n", - "8 coef_driving_age_child_work_and_school_asc -12.605997 F\n", - "9 coef_pre_driving_age_child_school2_asc 3.679726 F\n", - "10 coef_female_work1 -2.242748 F\n", - "11 coef_female_work2 -0.387411 F\n", - "12 coef_female_school1 0.247086 F\n", - "13 coef_female_school2 -0.301339 F\n", - "14 coef_female_work_and_school -3.218280 F\n", + "1 coef_ft_worker_work2_asc -3.494595 F\n", + "2 coef_pt_worker_work2_asc -3.079547 F\n", + "3 coef_univ_work1_asc 2.209708 F\n", + "4 coef_univ_work2_asc -1.472430 F\n", + "5 coef_univ_school2_asc -3.640737 F\n", + "6 coef_univ_work_and_school_asc 0.173386 F\n", + "7 coef_driving_age_child_school2_asc -3.209418 F\n", + "8 coef_driving_age_child_work_and_school_asc -4.565091 F\n", + "9 coef_pre_driving_age_child_school2_asc -4.210709 F\n", + "10 coef_female_work1 0.333342 F\n", + "11 coef_female_work2 -0.219862 F\n", + "12 coef_female_school1 0.000463 F\n", + "13 coef_female_school2 -0.016856 F\n", + "14 coef_female_work_and_school -0.265847 F\n", "15 coef_female_univ_work1 0.173700 F\n", - "16 coef_under_35_work1 1.038242 F\n", - "17 coef_under_35_work2 -0.253875 F\n", + "16 coef_under_35_work1 -0.458863 F\n", + "17 coef_under_35_work2 0.005614 F\n", "18 coef_under_35_school1 0.721800 F\n", - "19 coef_under_35_school2 15.011164 F\n", - "20 coef_under_35_work_and_school 2.257035 F\n", - "21 coef_can_walk_to_work_work2 0.651120 F\n", - "22 coef_can_walk_to_work_school2 1.368092 F\n", - "23 coef_can_walk_to_work_and_school 0.071630 F\n", - "24 coef_round_trip_auto_time_to_work_work2 -0.025905 F\n", - "25 coef_round_trip_auto_time_to_work_school2 0.064411 F\n", - "26 coef_round_trip_auto_time_to_work_work_and_school -0.021804 F\n", - "27 coef_student_employed 13.457255 F\n", + "19 coef_under_35_school2 1.230550 F\n", + "20 coef_under_35_work_and_school 1.149726 F\n", + "21 coef_can_walk_to_work_work2 0.600928 F\n", + "22 coef_can_walk_to_work_school2 0.811379 F\n", + "23 coef_can_walk_to_work_and_school 0.284832 F\n", + "24 coef_round_trip_auto_time_to_work_work2 -0.001855 F\n", + "25 coef_round_trip_auto_time_to_work_school2 -0.005959 F\n", + "26 coef_round_trip_auto_time_to_work_work_and_school -0.002208 F\n", + "27 coef_student_employed 2.918973 F\n", "28 coef_non_student_goes_to_school 3.883000 F\n", - "29 coef_no_cars_in_hh_work2 -0.725967 F\n", - "30 coef_no_cars_in_hh_school2 -0.620465 F\n", - "31 coef_no_cars_in_hh_work_and_school -0.775934 F\n", - "32 coef_few_cars_than_drivers_school2 -0.862451 F\n", - "33 coef_num_preschool_in_hh_work1 -2.930501 F\n", - "34 coef_num_preschool_in_hh_work2 0.225173 F\n", + "29 coef_no_cars_in_hh_work2 -1.524960 F\n", + "30 coef_no_cars_in_hh_school2 -1.479517 F\n", + "31 coef_no_cars_in_hh_work_and_school -1.244512 F\n", + "32 coef_few_cars_than_drivers_school2 -0.297623 F\n", + "33 coef_num_preschool_in_hh_work1 0.125045 F\n", + "34 coef_num_preschool_in_hh_work2 -0.126183 F\n", "35 coef_num_preschool_in_hh_school1 -0.133500 F\n", - "36 coef_num_preschool_in_hh_school2 0.356660 F\n", - "37 coef_num_preschool_in_hh_work_and_school -29.197569 F\n", + "36 coef_num_preschool_in_hh_school2 -0.796350 F\n", + "37 coef_num_preschool_in_hh_work_and_school -0.070125 F\n", "38 coef_num_non_workers_in_hh_school1 0.257400 F\n", - "39 coef_hh_income_gt_50k_work -1.418551 F\n", + "39 coef_hh_income_gt_50k_work -0.286159 F\n", "40 coef_hh_income_gt_50k_school1 0.034700 F\n", "41 coef_hh_income_gt_50k_worker_work_and_school 0.034700 F\n", - "42 coef_hh_income_gt_50k_student_work_and_school -0.921175 F\n", + "42 coef_hh_income_gt_50k_student_work_and_school -0.128428 F\n", "43 coef_non_family_hh_category1 -0.250000 F\n", - "44 coef_non_family_hh_category2 5.000771 F\n", - "45 coef_num_under_16_not_at_school_work2 -0.118991 NaN\n", - "46 coef_num_under_16_not_at_school_school2 -0.638293 NaN\n", - "47 coef_num_under_16_not_at_school_work_and_school -15.357907 NaN\n", - "48 coef_home_urban_work1 4.026796 NaN\n", - "49 coef_home_urban_work2 2.624854 NaN\n", + "44 coef_non_family_hh_category2 -0.091298 F\n", + "45 coef_num_under_16_not_at_school_work2 0.168260 NaN\n", + "46 coef_num_under_16_not_at_school_school2 -0.015345 NaN\n", + "47 coef_num_under_16_not_at_school_work_and_school -0.192330 NaN\n", + "48 coef_home_urban_work1 -0.122770 NaN\n", + "49 coef_home_urban_work2 0.142218 NaN\n", "50 coef_home_urban_school1 -0.136100 NaN\n", - "51 coef_home_urban_school2 -8.455615 NaN\n", - "52 coef_home_urban_work_and_school -0.447070 NaN" + "51 coef_home_urban_school2 0.161745 NaN\n", + "52 coef_home_urban_work_and_school -0.436835 NaN" ] }, "execution_count": 11, @@ -3687,7 +3646,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3701,7 +3660,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/08_work_tour_scheduling.ipynb b/activitysim/examples/example_estimation/notebooks/08_work_tour_scheduling.ipynb index 3cd81e8a2..b592a2974 100644 --- a/activitysim/examples/example_estimation/notebooks/08_work_tour_scheduling.ipynb +++ b/activitysim/examples/example_estimation/notebooks/08_work_tour_scheduling.ipynb @@ -34,27 +34,75 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +116,28 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_work/tour_scheduling_work_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_work/mandatory_tour_scheduling_work_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_work/mandatory_tour_scheduling_work_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_work/mandatory_tour_scheduling_work_choosers_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"mandatory_tour_scheduling_work\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -461,10 +525,10 @@ " \n", " \n", " 0\n", - " 2961920\n", - " 32\n", - " 35\n", - " 72241\n", + " 2966594\n", + " 7\n", + " 96\n", + " 72355\n", " work\n", " 1\n", " 1\n", @@ -477,18 +541,18 @@ " True\n", " False\n", " False\n", - " 9\n", - " -1\n", " 17\n", + " -1\n", + " 55\n", " 5\n", " 5\n", " \n", " \n", " 1\n", - " 2970120\n", - " 51\n", - " 51\n", - " 72441\n", + " 2967783\n", + " 50\n", + " 30\n", + " 72384\n", " work\n", " 1\n", " 1\n", @@ -501,18 +565,18 @@ " True\n", " False\n", " False\n", - " 100\n", + " 16\n", " -1\n", - " 60\n", + " 59\n", " 5\n", " 5\n", " \n", " \n", " 2\n", - " 2998943\n", + " 2968726\n", + " 64\n", " 29\n", - " 28\n", - " 73144\n", + " 72407\n", " work\n", " 1\n", " 1\n", @@ -525,18 +589,18 @@ " True\n", " False\n", " False\n", - " 77\n", + " 70\n", " -1\n", - " 125\n", + " 59\n", " 5\n", " 5\n", " \n", " \n", " 3\n", - " 3013252\n", - " 47\n", - " 47\n", - " 73493\n", + " 2970858\n", + " 31\n", + " 80\n", + " 72459\n", " work\n", " 1\n", " 1\n", @@ -549,18 +613,18 @@ " True\n", " False\n", " False\n", - " 117\n", + " 30\n", " -1\n", - " 133\n", + " 61\n", " 5\n", " 5\n", " \n", " \n", " 4\n", - " 3015794\n", - " 59\n", - " 59\n", - " 73555\n", + " 2973728\n", + " 61\n", + " 115\n", + " 72529\n", " work\n", " 1\n", " 1\n", @@ -573,9 +637,9 @@ " True\n", " False\n", " False\n", - " 167\n", + " 57\n", " -1\n", - " 136\n", + " 69\n", " 5\n", " 5\n", " \n", @@ -604,35 +668,35 @@ " ...\n", " \n", " \n", - " 2119\n", - " 308070309\n", - " 184\n", - " 184\n", - " 7513909\n", + " 22632\n", + " 309081532\n", + " 32\n", + " 10\n", + " 7538573\n", " work\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " work2\n", + " work1\n", " True\n", " False\n", " False\n", - " 11\n", + " 135\n", " -1\n", - " 21\n", - " 17\n", - " 21\n", + " 200\n", + " 5\n", + " 5\n", " \n", " \n", - " 2120\n", - " 308073875\n", - " 41\n", - " 38\n", - " 7513996\n", + " 22633\n", + " 309090634\n", + " 48\n", + " 79\n", + " 7538795\n", " work\n", " 1\n", " 1\n", @@ -645,18 +709,18 @@ " True\n", " False\n", " False\n", - " 67\n", + " 1018\n", " -1\n", - " 21\n", + " 1006\n", " 5\n", " 5\n", " \n", " \n", - " 2121\n", - " 308090603\n", - " 27\n", - " 27\n", - " 7514404\n", + " 22634\n", + " 309101950\n", + " 69\n", + " 78\n", + " 7539071\n", " work\n", " 1\n", " 1\n", @@ -669,18 +733,18 @@ " True\n", " False\n", " False\n", - " 106\n", + " 1019\n", " -1\n", - " 81\n", + " 1006\n", " 5\n", " 5\n", " \n", " \n", - " 2122\n", - " 308105896\n", - " 6\n", - " 6\n", - " 7514777\n", + " 22635\n", + " 309107362\n", + " 139\n", + " 53\n", + " 7539203\n", " work\n", " 1\n", " 1\n", @@ -691,110 +755,110 @@ " False\n", " work1\n", " True\n", - " True\n", - " True\n", - " 87\n", - " 185\n", - " 106\n", + " False\n", + " False\n", + " 1152\n", + " -1\n", + " 1159\n", " 5\n", " 5\n", " \n", " \n", - " 2123\n", - " 308122624\n", - " 44\n", - " 44\n", - " 7515185\n", + " 22636\n", + " 309112036\n", + " 64\n", + " 36\n", + " 7539317\n", " work\n", " 1\n", " 1\n", " 1\n", - " 2\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " work_and_school\n", - " True\n", - " True\n", + " work1\n", " True\n", - " 16\n", - " 188\n", - " 142\n", + " False\n", + " False\n", + " 1381\n", + " -1\n", + " 1390\n", " 5\n", " 5\n", " \n", " \n", "\n", - "

2124 rows × 40 columns

\n", + "

22637 rows × 40 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 2961920 32 35 72241 work \n", - "1 2970120 51 51 72441 work \n", - "2 2998943 29 28 73144 work \n", - "3 3013252 47 47 73493 work \n", - "4 3015794 59 59 73555 work \n", - "... ... ... ... ... ... \n", - "2119 308070309 184 184 7513909 work \n", - "2120 308073875 41 38 7513996 work \n", - "2121 308090603 27 27 7514404 work \n", - "2122 308105896 6 6 7514777 work \n", - "2123 308122624 44 44 7515185 work \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 2966594 7 96 72355 work \n", + "1 2967783 50 30 72384 work \n", + "2 2968726 64 29 72407 work \n", + "3 2970858 31 80 72459 work \n", + "4 2973728 61 115 72529 work \n", + "... ... ... ... ... ... \n", + "22632 309081532 32 10 7538573 work \n", + "22633 309090634 48 79 7538795 work \n", + "22634 309101950 69 78 7539071 work \n", + "22635 309107362 139 53 7539203 work \n", + "22636 309112036 64 36 7539317 work \n", "\n", - " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", - "0 1 1 1 1 mandatory ... \n", - "1 1 1 1 1 mandatory ... \n", - "2 1 1 1 1 mandatory ... \n", - "3 1 1 1 1 mandatory ... \n", - "4 1 1 1 1 mandatory ... \n", - "... ... ... ... ... ... ... \n", - "2119 2 2 2 2 mandatory ... \n", - "2120 1 1 1 1 mandatory ... \n", - "2121 1 1 1 1 mandatory ... \n", - "2122 1 1 1 1 mandatory ... \n", - "2123 1 1 1 2 mandatory ... \n", + " tour_type_count tour_type_num tour_num tour_count tour_category \\\n", + "0 1 1 1 1 mandatory \n", + "1 1 1 1 1 mandatory \n", + "2 1 1 1 1 mandatory \n", + "3 1 1 1 1 mandatory \n", + "4 1 1 1 1 mandatory \n", + "... ... ... ... ... ... \n", + "22632 1 1 1 1 mandatory \n", + "22633 1 1 1 1 mandatory \n", + "22634 1 1 1 1 mandatory \n", + "22635 1 1 1 1 mandatory \n", + "22636 1 1 1 1 mandatory \n", "\n", - " home_is_rural mandatory_tour_frequency is_worker is_student \\\n", - "0 False work1 True False \n", - "1 False work1 True False \n", - "2 False work1 True False \n", - "3 False work1 True False \n", - "4 False work1 True False \n", - "... ... ... ... ... \n", - "2119 False work2 True False \n", - "2120 False work1 True False \n", - "2121 False work1 True False \n", - "2122 False work1 True True \n", - "2123 False work_and_school True True \n", + " ... home_is_rural mandatory_tour_frequency is_worker is_student \\\n", + "0 ... False work1 True False \n", + "1 ... False work1 True False \n", + "2 ... False work1 True False \n", + "3 ... False work1 True False \n", + "4 ... False work1 True False \n", + "... ... ... ... ... ... \n", + "22632 ... False work1 True False \n", + "22633 ... False work1 True False \n", + "22634 ... False work1 True False \n", + "22635 ... False work1 True False \n", + "22636 ... False work1 True False \n", "\n", - " is_university workplace_zone_id school_zone_id home_zone_id \\\n", - "0 False 9 -1 17 \n", - "1 False 100 -1 60 \n", - "2 False 77 -1 125 \n", - "3 False 117 -1 133 \n", - "4 False 167 -1 136 \n", - "... ... ... ... ... \n", - "2119 False 11 -1 21 \n", - "2120 False 67 -1 21 \n", - "2121 False 106 -1 81 \n", - "2122 True 87 185 106 \n", - "2123 True 16 188 142 \n", + " is_university workplace_zone_id school_zone_id home_zone_id \\\n", + "0 False 17 -1 55 \n", + "1 False 16 -1 59 \n", + "2 False 70 -1 59 \n", + "3 False 30 -1 61 \n", + "4 False 57 -1 69 \n", + "... ... ... ... ... \n", + "22632 False 135 -1 200 \n", + "22633 False 1018 -1 1006 \n", + "22634 False 1019 -1 1006 \n", + "22635 False 1152 -1 1159 \n", + "22636 False 1381 -1 1390 \n", "\n", - " start_previous end_previous \n", - "0 5 5 \n", - "1 5 5 \n", - "2 5 5 \n", - "3 5 5 \n", - "4 5 5 \n", - "... ... ... \n", - "2119 17 21 \n", - "2120 5 5 \n", - "2121 5 5 \n", - "2122 5 5 \n", - "2123 5 5 \n", + " start_previous end_previous \n", + "0 5 5 \n", + "1 5 5 \n", + "2 5 5 \n", + "3 5 5 \n", + "4 5 5 \n", + "... ... ... \n", + "22632 5 5 \n", + "22633 5 5 \n", + "22634 5 5 \n", + "22635 5 5 \n", + "22636 5 5 \n", "\n", - "[2124 rows x 40 columns]" + "[22637 rows x 40 columns]" ] }, "execution_count": 6, @@ -840,148 +904,148 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", + " start\n", + " end\n", + " duration\n", + " tdd\n", + " out_period\n", + " in_period\n", + " mode_choice_logsum\n", + " util_free_flow_round_trip_auto_time_shift_effects_departure\n", + " util_free_flow_round_trip_auto_time_shift_effects_duration\n", " ...\n", - " 180\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", + " util_arrival_constants_late\n", + " util_duration_constants_0_to_2_hours\n", + " util_duration_constants_3_to_4_hours\n", + " util_duration_constants_5_to_6_hours\n", + " util_duration_constants_7_to_8_hours\n", + " util_duration_constants_9_hours\n", + " util_duration_constants_10_hours\n", + " util_duration_constants_11_hours\n", + " util_duration_constants_12_to_13_hours\n", + " util_duration_constants_14_to_18_hours\n", " \n", " \n", " \n", " \n", " 0\n", - " 2961920\n", - " duration\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", + " 2966594\n", + " 5\n", " 5\n", - " 6\n", - " 7\n", - " ...\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", " 0\n", - " 1\n", - " 2\n", - " 0\n", - " 1\n", " 0\n", + " EA\n", + " EA\n", + " -0.897101\n", + " 163.399994\n", + " 0.000000\n", + " ...\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 1\n", - " 2961920\n", - " end\n", + " 2966594\n", " 5\n", " 6\n", - " 7\n", - " 8\n", - " 9\n", - " 10\n", - " 11\n", - " 12\n", + " 1\n", + " 1\n", + " EA\n", + " AM\n", + " -1.333629\n", + " 163.399994\n", + " 32.680000\n", " ...\n", - " 20\n", - " 21\n", - " 22\n", - " 23\n", - " 21\n", - " 22\n", - " 23\n", - " 22\n", - " 23\n", - " 23\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 2\n", - " 2961920\n", - " in_period\n", + " 2966594\n", + " 5\n", + " 7\n", + " 2\n", + " 2\n", " EA\n", " AM\n", - " AM\n", - " AM\n", - " AM\n", - " MD\n", - " MD\n", - " MD\n", + " -1.333629\n", + " 163.399994\n", + " 65.360001\n", " ...\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 3\n", - " 2961920\n", - " mode_choice_logsum\n", - " -0.6808670711507444\n", - " -0.9609052826735235\n", - " -0.9609052826735235\n", - " -0.9609052826735235\n", - " -0.9609052826735235\n", - " -1.1106688167107288\n", - " -1.1106688167107288\n", - " -1.1106688167107288\n", - " ...\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", - " -0.8117834942924501\n", + " 2966594\n", + " 5\n", + " 8\n", + " 3\n", + " 3\n", + " EA\n", + " AM\n", + " -1.333629\n", + " 163.399994\n", + " 98.040001\n", + " ...\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 4\n", - " 2961920\n", - " out_period\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", + " 2966594\n", + " 5\n", + " 9\n", + " 4\n", + " 4\n", " EA\n", + " AM\n", + " -1.333629\n", + " 163.399994\n", + " 130.720001\n", " ...\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " ...\n", @@ -1008,9 +1072,20 @@ " ...\n", " \n", " \n", - " 146551\n", - " 308122624\n", - " util_subsequent_tour_must_start_after_previous...\n", + " 4222354\n", + " 309112036\n", + " 21\n", + " 22\n", + " 1\n", + " 185\n", + " EV\n", + " EV\n", + " -2.780379\n", + " 1388.099976\n", + " 66.099998\n", + " ...\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", @@ -1019,9 +1094,22 @@ " False\n", " False\n", " False\n", + " \n", + " \n", + " 4222355\n", + " 309112036\n", + " 21\n", + " 23\n", + " 2\n", + " 186\n", + " EV\n", + " EV\n", + " -2.780379\n", + " 1388.099976\n", + " 132.199997\n", " ...\n", - " False\n", - " False\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", @@ -1032,81 +1120,44 @@ " False\n", " \n", " \n", - " 146552\n", - " 308122624\n", - " util_tours_by_student_duration_lt_8_hrs\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", + " 4222356\n", + " 309112036\n", + " 22\n", + " 22\n", + " 0\n", + " 187\n", + " EV\n", + " EV\n", + " -2.780379\n", + " 1454.199951\n", + " 0.000000\n", " ...\n", " True\n", " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 146553\n", - " 308122624\n", - " util_tours_by_worker_duration_lt_8_hrs\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", + " 4222357\n", + " 309112036\n", + " 22\n", + " 23\n", + " 1\n", + " 188\n", + " EV\n", + " EV\n", + " -2.780379\n", + " 1454.199951\n", + " 66.099998\n", " ...\n", " True\n", " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " \n", - " \n", - " 146554\n", - " 308122624\n", - " util_university_student_departure_shift_effects\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " ...\n", - " 20\n", - " 20\n", - " 20\n", - " 20\n", - " 21\n", - " 21\n", - " 21\n", - " 22\n", - " 22\n", - " 23\n", - " \n", - " \n", - " 146555\n", - " 308122624\n", - " util_worker_13_to_15_arrival_interaction\n", " False\n", " False\n", " False\n", @@ -1115,9 +1166,22 @@ " False\n", " False\n", " False\n", + " \n", + " \n", + " 4222358\n", + " 309112036\n", + " 23\n", + " 23\n", + " 0\n", + " 189\n", + " EV\n", + " EV\n", + " -2.780379\n", + " 1520.299927\n", + " 0.000000\n", " ...\n", - " False\n", - " False\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", @@ -1129,102 +1193,167 @@ " \n", " \n", "\n", - "

146556 rows × 192 columns

\n", + "

4222359 rows × 71 columns

\n", "" ], "text/plain": [ - " tour_id variable \\\n", - "0 2961920 duration \n", - "1 2961920 end \n", - "2 2961920 in_period \n", - "3 2961920 mode_choice_logsum \n", - "4 2961920 out_period \n", - "... ... ... \n", - "146551 308122624 util_subsequent_tour_must_start_after_previous... \n", - "146552 308122624 util_tours_by_student_duration_lt_8_hrs \n", - "146553 308122624 util_tours_by_worker_duration_lt_8_hrs \n", - "146554 308122624 util_university_student_departure_shift_effects \n", - "146555 308122624 util_worker_13_to_15_arrival_interaction \n", + " tour_id start end duration tdd out_period in_period \\\n", + "0 2966594 5 5 0 0 EA EA \n", + "1 2966594 5 6 1 1 EA AM \n", + "2 2966594 5 7 2 2 EA AM \n", + "3 2966594 5 8 3 3 EA AM \n", + "4 2966594 5 9 4 4 EA AM \n", + "... ... ... ... ... ... ... ... \n", + "4222354 309112036 21 22 1 185 EV EV \n", + "4222355 309112036 21 23 2 186 EV EV \n", + "4222356 309112036 22 22 0 187 EV EV \n", + "4222357 309112036 22 23 1 188 EV EV \n", + "4222358 309112036 23 23 0 189 EV EV \n", "\n", - " 0 1 2 \\\n", - "0 0 1 2 \n", - "1 5 6 7 \n", - "2 EA AM AM \n", - "3 -0.6808670711507444 -0.9609052826735235 -0.9609052826735235 \n", - "4 EA EA EA \n", - "... ... ... ... \n", - "146551 False False False \n", - "146552 True True True \n", - "146553 True True True \n", - "146554 5 5 5 \n", - "146555 False False False \n", + " mode_choice_logsum \\\n", + "0 -0.897101 \n", + "1 -1.333629 \n", + "2 -1.333629 \n", + "3 -1.333629 \n", + "4 -1.333629 \n", + "... ... \n", + "4222354 -2.780379 \n", + "4222355 -2.780379 \n", + "4222356 -2.780379 \n", + "4222357 -2.780379 \n", + "4222358 -2.780379 \n", "\n", - " 3 4 5 \\\n", - "0 3 4 5 \n", - "1 8 9 10 \n", - "2 AM AM MD \n", - "3 -0.9609052826735235 -0.9609052826735235 -1.1106688167107288 \n", - "4 EA EA EA \n", - "... ... ... ... \n", - "146551 False False False \n", - "146552 True True True \n", - "146553 True True True \n", - "146554 5 5 5 \n", - "146555 False False False \n", + " util_free_flow_round_trip_auto_time_shift_effects_departure \\\n", + "0 163.399994 \n", + "1 163.399994 \n", + "2 163.399994 \n", + "3 163.399994 \n", + "4 163.399994 \n", + "... ... \n", + "4222354 1388.099976 \n", + "4222355 1388.099976 \n", + "4222356 1454.199951 \n", + "4222357 1454.199951 \n", + "4222358 1520.299927 \n", "\n", - " 6 7 ... 180 \\\n", - "0 6 7 ... 0 \n", - "1 11 12 ... 20 \n", - "2 MD MD ... EV \n", - "3 -1.1106688167107288 -1.1106688167107288 ... -0.8117834942924501 \n", - "4 EA EA ... EV \n", - "... ... ... ... ... \n", - "146551 False False ... False \n", - "146552 True True ... True \n", - "146553 True True ... True \n", - "146554 5 5 ... 20 \n", - "146555 False False ... False \n", + " util_free_flow_round_trip_auto_time_shift_effects_duration ... \\\n", + "0 0.000000 ... \n", + "1 32.680000 ... \n", + "2 65.360001 ... \n", + "3 98.040001 ... \n", + "4 130.720001 ... \n", + "... ... ... \n", + "4222354 66.099998 ... \n", + "4222355 132.199997 ... \n", + "4222356 0.000000 ... \n", + "4222357 66.099998 ... \n", + "4222358 0.000000 ... \n", "\n", - " 181 182 183 \\\n", - "0 1 2 3 \n", - "1 21 22 23 \n", - "2 EV EV EV \n", - "3 -0.8117834942924501 -0.8117834942924501 -0.8117834942924501 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "146551 False False False \n", - "146552 True True True \n", - "146553 True True True \n", - "146554 20 20 20 \n", - "146555 False False False \n", + " util_arrival_constants_late util_duration_constants_0_to_2_hours \\\n", + "0 False True \n", + "1 False True \n", + "2 False True \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "4222354 True True \n", + "4222355 True True \n", + "4222356 True True \n", + "4222357 True True \n", + "4222358 True True \n", "\n", - " 184 185 186 \\\n", - "0 0 1 2 \n", - "1 21 22 23 \n", - "2 EV EV EV \n", - "3 -0.8117834942924501 -0.8117834942924501 -0.8117834942924501 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "146551 False False False \n", - "146552 True True True \n", - "146553 True True True \n", - "146554 21 21 21 \n", - "146555 False False False \n", + " util_duration_constants_3_to_4_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 True \n", + "4 True \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", "\n", - " 187 188 189 \n", - "0 0 1 0 \n", - "1 22 23 23 \n", - "2 EV EV EV \n", - "3 -0.8117834942924501 -0.8117834942924501 -0.8117834942924501 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "146551 False False False \n", - "146552 True True True \n", - "146553 True True True \n", - "146554 22 22 23 \n", - "146555 False False False \n", + " util_duration_constants_5_to_6_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", "\n", - "[146556 rows x 192 columns]" + " util_duration_constants_7_to_8_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", + "\n", + " util_duration_constants_9_hours util_duration_constants_10_hours \\\n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "4222354 False False \n", + "4222355 False False \n", + "4222356 False False \n", + "4222357 False False \n", + "4222358 False False \n", + "\n", + " util_duration_constants_11_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", + "\n", + " util_duration_constants_12_to_13_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", + "\n", + " util_duration_constants_14_to_18_hours \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "4222354 False \n", + "4222355 False \n", + "4222356 False \n", + "4222357 False \n", + "4222358 False \n", + "\n", + "[4222359 rows x 71 columns]" ] }, "execution_count": 7, @@ -1254,13 +1383,47 @@ "name": "stderr", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "problem: chosen_but_not_available has (83 issues)\n" ] }, + { + "data": { + "text/plain": [ + "(,\n", + " ┣ chosen_but_not_available: altid n example rows\n", + " ┃ 0 23 1 7136\n", + " ┃ 1 40 1 7611\n", + " ┃ 2 41 2 2673, 3979\n", + " ┃ 3 42 1 15549\n", + " ┃ 4 44 2 10390, 17539\n", + " ┃ .. ... .. ...\n", + " ┃ 78 175 1 15501\n", + " ┃ 79 177 1 16777\n", + " ┃ 80 178 1 1665\n", + " ┃ 81 180 1 6817\n", + " ┃ 82 184 1 10510\n", + " ┃ \n", + " ┃ [83 rows x 3 columns])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.doctor(repair_ch_av=\"-\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "

Iteration 064 [Optimization terminated successfully]

" + "

Iteration 055 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1272,7 +1435,7 @@ { "data": { "text/html": [ - "

Best LL = -8399.82196783851

" + "

Best LL = -89082.99255547294

" ], "text/plain": [ "" @@ -1303,70 +1466,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " 0.326676\n", + " 0.346120\n", + " 0.346120\n", " 0.362700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.326676\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " 0.298901\n", + " -0.097167\n", + " -0.097167\n", " -0.101200\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.298901\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " -0.038388\n", + " 0.103758\n", + " 0.103758\n", " 0.177100\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.038388\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " -0.012605\n", + " -0.534895\n", + " -0.534895\n", " -0.212300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.012605\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " -2.527138\n", + " -1.859817\n", + " -1.859817\n", " -1.854521\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.527138\n", " \n", " \n", " ...\n", @@ -1377,122 +1544,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs\n", - " 5.443390\n", + " 2.609918\n", + " 2.609918\n", " 2.582000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 5.443390\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_ends\n", " -100.000000\n", " -100.000000\n", + " -100.000000\n", + " -100.0\n", + " -100.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " -100.000000\n", " \n", " \n", " coef_tours_by_student_duration_lt_8_hrs\n", - " 20.927636\n", + " 2.619822\n", + " 2.619822\n", " 2.582000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 20.927636\n", " \n", " \n", " coef_tours_by_worker_duration_lt_8_hrs\n", - " 19.258236\n", + " 0.950422\n", + " 0.950422\n", " 0.912600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 19.258236\n", " \n", " \n", " coef_university_student_departure_shift_effects\n", - " 0.076480\n", + " 0.045387\n", + " 0.045387\n", " 0.057470\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.076480\n", " \n", " \n", "\n", - "

63 rows × 8 columns

\n", + "

63 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 0.326676 0.362700 \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.298901 -0.101200 \n", - "coef_adjacent_window_exists_before_this_departu... -0.038388 0.177100 \n", - "coef_adjacent_window_exists_before_this_departu... -0.012605 -0.212300 \n", - "coef_arrival_constants_am_peak -2.527138 -1.854521 \n", + " value best \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0.346120 0.346120 \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.097167 -0.097167 \n", + "coef_adjacent_window_exists_before_this_departu... 0.103758 0.103758 \n", + "coef_adjacent_window_exists_before_this_departu... -0.534895 -0.534895 \n", + "coef_arrival_constants_am_peak -1.859817 -1.859817 \n", "... ... ... \n", - "coef_subsequent_of_2plus_work_tours_duration_lt... 5.443390 2.582000 \n", + "coef_subsequent_of_2plus_work_tours_duration_lt... 2.609918 2.609918 \n", "coef_subsequent_tour_must_start_after_previous_... -100.000000 -100.000000 \n", - "coef_tours_by_student_duration_lt_8_hrs 20.927636 2.582000 \n", - "coef_tours_by_worker_duration_lt_8_hrs 19.258236 0.912600 \n", - "coef_university_student_departure_shift_effects 0.076480 0.057470 \n", + "coef_tours_by_student_duration_lt_8_hrs 2.619822 2.619822 \n", + "coef_tours_by_worker_duration_lt_8_hrs 0.950422 0.950422 \n", + "coef_university_student_departure_shift_effects 0.045387 0.045387 \n", "\n", - " nullvalue minimum \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_arrival_constants_am_peak 0.0 -25.0 \n", - "... ... ... \n", - "coef_subsequent_of_2plus_work_tours_duration_lt... 0.0 -25.0 \n", - "coef_subsequent_tour_must_start_after_previous_... 0.0 -25.0 \n", - "coef_tours_by_student_duration_lt_8_hrs 0.0 -25.0 \n", - "coef_tours_by_worker_duration_lt_8_hrs 0.0 -25.0 \n", - "coef_university_student_departure_shift_effects 0.0 -25.0 \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0.362700 -25.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.101200 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... 0.177100 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... -0.212300 -25.0 \n", + "coef_arrival_constants_am_peak -1.854521 -25.0 \n", + "... ... ... \n", + "coef_subsequent_of_2plus_work_tours_duration_lt... 2.582000 -25.0 \n", + "coef_subsequent_tour_must_start_after_previous_... -100.000000 -100.0 \n", + "coef_tours_by_student_duration_lt_8_hrs 2.582000 -25.0 \n", + "coef_tours_by_worker_duration_lt_8_hrs 0.912600 -25.0 \n", + "coef_university_student_departure_shift_effects 0.057470 -25.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_arrival_constants_am_peak 25.0 0 \n", - "... ... ... ... \n", - "coef_subsequent_of_2plus_work_tours_duration_lt... 25.0 0 \n", - "coef_subsequent_tour_must_start_after_previous_... 25.0 1 \n", - "coef_tours_by_student_duration_lt_8_hrs 25.0 0 \n", - "coef_tours_by_worker_duration_lt_8_hrs 25.0 0 \n", - "coef_university_student_departure_shift_effects 25.0 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_arrival_constants_am_peak 25.0 0.0 \n", + "... ... ... \n", + "coef_subsequent_of_2plus_work_tours_duration_lt... 25.0 0.0 \n", + "coef_subsequent_tour_must_start_after_previous_... -100.0 0.0 \n", + "coef_tours_by_student_duration_lt_8_hrs 25.0 0.0 \n", + "coef_tours_by_worker_duration_lt_8_hrs 25.0 0.0 \n", + "coef_university_student_departure_shift_effects 25.0 0.0 \n", "\n", - " best \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.326676 \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.298901 \n", - "coef_adjacent_window_exists_before_this_departu... -0.038388 \n", - "coef_adjacent_window_exists_before_this_departu... -0.012605 \n", - "coef_arrival_constants_am_peak -2.527138 \n", - "... ... \n", - "coef_subsequent_of_2plus_work_tours_duration_lt... 5.443390 \n", - "coef_subsequent_tour_must_start_after_previous_... -100.000000 \n", - "coef_tours_by_student_duration_lt_8_hrs 20.927636 \n", - "coef_tours_by_worker_duration_lt_8_hrs 19.258236 \n", - "coef_university_student_departure_shift_effects 0.076480 \n", + " holdfast \n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_arrival_constants_am_peak 0 \n", + "... ... \n", + "coef_subsequent_of_2plus_work_tours_duration_lt... 0 \n", + "coef_subsequent_tour_must_start_after_previous_... 1 \n", + "coef_tours_by_student_duration_lt_8_hrs 0 \n", + "coef_tours_by_worker_duration_lt_8_hrs 0 \n", + "coef_university_student_departure_shift_effects 0 \n", "\n", - "[63 rows x 8 columns]" + "[63 rows x 7 columns]" ] }, "metadata": {}, @@ -1502,10 +1667,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate()\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.580800976238575e-22 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -1521,23 +1684,23 @@ " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " 0.326676\n", + " 0.346120\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " 0.298901\n", + " -0.097167\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " -0.038388\n", + " 0.103758\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " -0.012605\n", + " -0.534895\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " -2.527138\n", + " -1.859817\n", " \n", " \n", " coef_arrival_constants_early\n", @@ -1545,19 +1708,19 @@ " \n", " \n", " coef_arrival_constants_evening\n", - " -0.085796\n", + " 0.108541\n", " \n", " \n", " coef_arrival_constants_late\n", - " -1.221408\n", + " -0.888178\n", " \n", " \n", " coef_arrival_constants_midday_1\n", - " -0.489736\n", + " -0.478024\n", " \n", " \n", " coef_arrival_constants_midday_2\n", - " -0.383260\n", + " -0.405187\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", @@ -1565,19 +1728,19 @@ " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " 0.202005\n", + " 0.320157\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", - " 0.572524\n", + " 0.736762\n", " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " 0.705592\n", + " 0.834430\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -0.641898\n", + " -0.600877\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", @@ -1585,55 +1748,55 @@ " \n", " \n", " coef_departure_constants_am_peak_3\n", - " -0.323006\n", + " -0.221080\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " -1.220042\n", + " -1.207929\n", " \n", " \n", " coef_departure_constants_early\n", - " -0.889376\n", + " -0.930812\n", " \n", " \n", " coef_departure_constants_evening\n", - " -1.989402\n", + " -1.498679\n", " \n", " \n", " coef_departure_constants_late\n", - " -2.936685\n", + " -2.893575\n", " \n", " \n", " coef_departure_constants_midday_1\n", - " -1.826700\n", + " -1.684758\n", " \n", " \n", " coef_departure_constants_midday_2\n", - " -1.878783\n", + " -1.708659\n", " \n", " \n", " coef_departure_constants_pm_peak\n", - " -1.691847\n", + " -1.375804\n", " \n", " \n", " coef_destination_in_cbd_departure_shift_effects\n", - " 0.028678\n", + " 0.057883\n", " \n", " \n", " coef_destination_in_cbd_duration_shift_effects\n", - " 0.096673\n", + " 0.070217\n", " \n", " \n", " coef_destination_in_cbd_early_departure_interaction\n", - " -0.419959\n", + " -0.365371\n", " \n", " \n", " coef_destination_in_cbd_late_arrival_interaction\n", - " -0.266935\n", + " -0.156618\n", " \n", " \n", " coef_duration_constants_0_to_2_hours\n", - " -2.062403\n", + " -2.598564\n", " \n", " \n", " coef_duration_constants_10_hours\n", @@ -1641,75 +1804,75 @@ " \n", " \n", " coef_duration_constants_11_hours\n", - " -0.358479\n", + " -0.316543\n", " \n", " \n", " coef_duration_constants_12_to_13_hours\n", - " -1.132000\n", + " -0.998700\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -1.854875\n", + " -1.641305\n", " \n", " \n", " coef_duration_constants_3_to_4_hours\n", - " -0.600278\n", + " -0.976620\n", " \n", " \n", " coef_duration_constants_5_to_6_hours\n", - " -0.343562\n", + " -0.786160\n", " \n", " \n", " coef_duration_constants_7_to_8_hours\n", - " -0.033981\n", + " -0.191835\n", " \n", " \n", " coef_duration_constants_9_hours\n", - " 0.137251\n", + " 0.041325\n", " \n", " \n", " coef_first_of_2plus_work_tours_departure_shift_effects\n", - " -0.289684\n", + " -0.286911\n", " \n", " \n", " coef_first_of_2plus_work_tours_duration_lt_8_hrs\n", - " 1.916784\n", + " 2.160421\n", " \n", " \n", " coef_first_of_2plus_work_tours_duration_shift_effects\n", - " -0.286185\n", + " -0.159326\n", " \n", " \n", " coef_free_flow_round_trip_auto_time_shift_effects_departure\n", - " 0.000599\n", + " -0.001158\n", " \n", " \n", " coef_free_flow_round_trip_auto_time_shift_effects_duration\n", - " 0.004216\n", + " 0.002097\n", " \n", " \n", " coef_full_time_worker_10_to_12_departure_interaction\n", - " -0.678250\n", + " -0.474411\n", " \n", " \n", " coef_full_time_worker_duration_lt_9_hours_interaction\n", - " -1.357293\n", + " -1.190464\n", " \n", " \n", " coef_household_income_departure_shift_effects\n", - " 0.000111\n", + " 0.000219\n", " \n", " \n", " coef_household_income_early_departure_interaction\n", - " -0.582774\n", + " -0.462242\n", " \n", " \n", " coef_household_income_late_arrival_interaction\n", - " 0.029954\n", + " -0.560334\n", " \n", " \n", " coef_mode_choice_logsum\n", - " 0.247114\n", + " 0.666366\n", " \n", " \n", " coef_non_working_adult_duration_shift_effects\n", @@ -1717,23 +1880,23 @@ " \n", " \n", " coef_part_time_worker_13_to_15_arrival_interaction\n", - " 0.375322\n", + " 0.687690\n", " \n", " \n", " coef_part_time_worker_departure_shift_effects\n", - " 0.095094\n", + " 0.058805\n", " \n", " \n", " coef_previously_scheduled_tour_begins_in_this_arrival_hour\n", - " -6.724955\n", + " -1.250685\n", " \n", " \n", " coef_previously_scheduled_tour_ends_in_this_departure_hour\n", - " 0.258853\n", + " -0.563627\n", " \n", " \n", " coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours\n", - " -6.865187\n", + " -18.677135\n", " \n", " \n", " coef_rural_household_early_departure_interaction\n", @@ -1745,34 +1908,34 @@ " \n", " \n", " coef_subsequent_2plus_work_departure_tours_shift_effects\n", - " 0.060824\n", + " 0.059853\n", " \n", " \n", " coef_subsequent_2plus_work_duration_tours_shift_effects\n", - " -0.080957\n", + " -0.352513\n", " \n", " \n", " coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs\n", - " 5.443390\n", + " 2.609918\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_ends\n", - " -25.000000\n", + " -100.000000\n", " \n", " \n", " coef_tours_by_student_duration_lt_8_hrs\n", - " 20.927636\n", + " 2.619822\n", " \n", " \n", " coef_tours_by_worker_duration_lt_8_hrs\n", - " 19.258236\n", + " 0.950422\n", " \n", " \n", " coef_university_student_departure_shift_effects\n", - " 0.076480\n", + " 0.045387\n", " \n", " \n", - "loglike-8399.82196783851d_loglike\n", + "
logloss3.971246101795334d_logloss\n", " \n", " \n", " \n", @@ -1782,23 +1945,23 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1806,19 +1969,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1826,19 +1989,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1846,55 +2009,55 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1902,75 +2065,75 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1978,23 +2141,23 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2006,15 +2169,15 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2022,65 +2185,65 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction6.227709e-05-2.476569e-05
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-3.094051e-042.401362e-05
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction2.047044e-04-3.242733e-07
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction1.044967e-041.721606e-05
coef_arrival_constants_am_peak-2.094941e-056.908123e-05
coef_arrival_constants_early
coef_arrival_constants_evening-2.523831e-047.288184e-05
coef_arrival_constants_late-1.447395e-03-9.483020e-05
coef_arrival_constants_midday_12.766105e-04-4.017493e-05
coef_arrival_constants_midday_27.345342e-04-6.167975e-05
coef_arrival_constants_pm_peak_1
coef_arrival_constants_pm_peak_27.327399e-04-3.095877e-05
coef_arrival_constants_pm_peak_34.196985e-04-1.941954e-04
coef_arrival_constants_pm_peak_4-6.906812e-049.466248e-05
coef_departure_constants_am_peak_11.225866e-035.666160e-05
coef_departure_constants_am_peak_2
coef_departure_constants_am_peak_31.473105e-03-1.055621e-04
coef_departure_constants_am_peak_4-1.160737e-031.197416e-05
coef_departure_constants_early1.279229e-03-4.303027e-05
coef_departure_constants_evening-7.494769e-044.847181e-05
coef_departure_constants_late-3.382858e-04-1.550132e-05
coef_departure_constants_midday_13.335414e-054.834936e-05
coef_departure_constants_midday_2-2.645412e-03-1.698437e-04
coef_departure_constants_pm_peak-1.917919e-031.852010e-04
coef_destination_in_cbd_departure_shift_effects-4.480046e-022.109060e-04
coef_destination_in_cbd_duration_shift_effects2.390663e-025.183584e-04
coef_destination_in_cbd_early_departure_interaction1.038321e-038.561721e-05
coef_destination_in_cbd_late_arrival_interaction-7.345503e-043.056000e-06
coef_duration_constants_0_to_2_hours-1.367149e-037.551894e-05
coef_duration_constants_10_hours
coef_duration_constants_11_hours7.690066e-04-5.843846e-05
coef_duration_constants_12_to_13_hours1.653562e-036.715821e-05
coef_duration_constants_14_to_18_hours1.225821e-031.601895e-04
coef_duration_constants_3_to_4_hours-1.640102e-03-3.312036e-05
coef_duration_constants_5_to_6_hours-5.618970e-04-1.248871e-04
coef_duration_constants_7_to_8_hours4.597377e-041.212099e-05
coef_duration_constants_9_hours-7.212915e-04-1.193587e-04
coef_first_of_2plus_work_tours_departure_shift_effects-6.512833e-036.406568e-05
coef_first_of_2plus_work_tours_duration_lt_8_hrs-2.321194e-041.190483e-05
coef_first_of_2plus_work_tours_duration_shift_effects3.977570e-03-9.017286e-05
coef_free_flow_round_trip_auto_time_shift_effects_departure-9.773028e-01-1.930899e-03
coef_free_flow_round_trip_auto_time_shift_effects_duration6.851835e-013.916590e-04
coef_full_time_worker_10_to_12_departure_interaction-1.959177e-042.789068e-05
coef_full_time_worker_duration_lt_9_hours_interaction-2.085279e-03-5.147377e-05
coef_household_income_departure_shift_effects-6.023402e+00-8.126657e-03
coef_household_income_early_departure_interaction9.200981e-05-4.696739e-05
coef_household_income_late_arrival_interaction-2.749490e-045.039132e-05
coef_mode_choice_logsum-1.198356e-031.368051e-05
coef_non_working_adult_duration_shift_effects
coef_part_time_worker_13_to_15_arrival_interaction3.494690e-042.401302e-05
coef_part_time_worker_departure_shift_effects-7.745591e-031.505693e-04
coef_previously_scheduled_tour_begins_in_this_arrival_hour-4.665139e-051.307335e-04
coef_previously_scheduled_tour_ends_in_this_departure_hour-2.485873e-05-6.743726e-06
coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours2.255476e-066.820090e-06
coef_rural_household_early_departure_interaction
coef_subsequent_2plus_work_departure_tours_shift_effects-8.338787e-03-3.661524e-05
coef_subsequent_2plus_work_duration_tours_shift_effects7.065869e-042.967934e-05
coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs-2.124468e-043.755607e-05
coef_subsequent_tour_must_start_after_previous_tour_ends
coef_tours_by_student_duration_lt_8_hrs-7.862668e-165.453713e-05
coef_tours_by_worker_duration_lt_8_hrs-7.862668e-165.453713e-05
coef_university_student_departure_shift_effects-1.306805e-025.979971e-05
nit64nfev177njev64status0message'Optimization terminated successfully'successTrueelapsed_time0:00:08.813504method'slsqp'n_cases2124iteration_number64logloss3.954718440601935" + "nit55nfev69njev55status0message'Optimization terminated successfully'successTrueelapsed_time0:00:40.125911method'slsqp'n_cases22637iteration_number55loglike-89082.99255547294" ], "text/plain": [ - "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.326676\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 0.298901\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -0.038388\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -0.012605\n", - "┃ coef_arrival_constants_am_peak -2.527138\n", - "┃ ... \n", - "┃ coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs 5.443390\n", - "┃ coef_subsequent_tour_must_start_after_previous_tour_ends -25.000000\n", - "┃ coef_tours_by_student_duration_lt_8_hrs 20.927636\n", - "┃ coef_tours_by_worker_duration_lt_8_hrs 19.258236\n", - "┃ coef_university_student_departure_shift_effects 0.076480\n", + "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.346120\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -0.097167\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.103758\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -0.534895\n", + "┃ coef_arrival_constants_am_peak -1.859817\n", + "┃ ... \n", + "┃ coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs 2.609918\n", + "┃ coef_subsequent_tour_must_start_after_previous_tour_ends -100.000000\n", + "┃ coef_tours_by_student_duration_lt_8_hrs 2.619822\n", + "┃ coef_tours_by_worker_duration_lt_8_hrs 0.950422\n", + "┃ coef_university_student_departure_shift_effects 0.045387\n", "┃ Length: 63, dtype: float64\n", - "┣ loglike: -8399.82196783851\n", - "┣ d_loglike: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 6.227709e-05\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -3.094051e-04\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 2.047044e-04\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 1.044967e-04\n", - "┃ coef_arrival_constants_am_peak -2.094941e-05\n", + "┣ logloss: 3.971246101795334\n", + "┣ d_logloss: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -2.476569e-05\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 2.401362e-05\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -3.242733e-07\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 1.721606e-05\n", + "┃ coef_arrival_constants_am_peak 6.908123e-05\n", "┃ ... \n", - "┃ coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs -2.124468e-04\n", + "┃ coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs 3.755607e-05\n", "┃ coef_subsequent_tour_must_start_after_previous_tour_ends 0.000000e+00\n", - "┃ coef_tours_by_student_duration_lt_8_hrs -7.862668e-16\n", - "┃ coef_tours_by_worker_duration_lt_8_hrs -7.862668e-16\n", - "┃ coef_university_student_departure_shift_effects -1.306805e-02\n", + "┃ coef_tours_by_student_duration_lt_8_hrs 5.453713e-05\n", + "┃ coef_tours_by_worker_duration_lt_8_hrs 5.453713e-05\n", + "┃ coef_university_student_departure_shift_effects 5.979971e-05\n", "┃ Length: 63, dtype: float64\n", - "┣ nit: 64\n", - "┣ nfev: 177\n", - "┣ njev: 64\n", + "┣ nit: 55\n", + "┣ nfev: 69\n", + "┣ njev: 55\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=8, microseconds=813504)\n", + "┣ elapsed_time: datetime.timedelta(seconds=40, microseconds=125911)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 2124\n", - "┣ iteration_number: 64\n", - "┣ logloss: 3.954718440601935" + "┣ n_cases: 22637\n", + "┣ iteration_number: 55\n", + "┣ loglike: -89082.99255547294" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - 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Value Std Err t Stat Signif Null Value Constrained
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.327 0.208 1.57 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 0.299 0.244 1.23 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction-0.0384 0.207-0.19 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-0.0126 0.274-0.05 0.00
coef_arrival_constants_am_peak-2.53 0.539-4.68*** 0.00
coef_arrival_constants_early 0.00 NA NA 0.00fixed value
coef_arrival_constants_evening-0.0858 0.208-0.41 0.00
coef_arrival_constants_late-1.22 0.282-4.33*** 0.00
coef_arrival_constants_midday_1-0.490 0.186-2.64** 0.00
coef_arrival_constants_midday_2-0.383 0.132-2.90** 0.00
coef_arrival_constants_pm_peak_1 0.00 NA NA 0.00fixed value
coef_arrival_constants_pm_peak_2 0.202 0.120 1.69 0.00
coef_arrival_constants_pm_peak_3 0.573 0.133 4.30*** 0.00
coef_arrival_constants_pm_peak_4 0.706 0.159 4.44*** 0.00
coef_departure_constants_am_peak_1-0.642 0.0804-7.99*** 0.00
coef_departure_constants_am_peak_2 0.00 NA NA 0.00fixed value
coef_departure_constants_am_peak_3-0.323 0.0737-4.38*** 0.00
coef_departure_constants_am_peak_4-1.22 0.117-10.45*** 0.00
coef_departure_constants_early-0.889 0.134-6.62*** 0.00
coef_departure_constants_evening-1.99 0.528-3.77*** 0.00
coef_departure_constants_late-2.94 1.18-2.49* 0.00
coef_departure_constants_midday_1-1.83 0.208-8.78*** 0.00
coef_departure_constants_midday_2-1.88 0.266-7.06*** 0.00
coef_departure_constants_pm_peak-1.69 0.371-4.56*** 0.00
coef_destination_in_cbd_departure_shift_effects 0.0287 0.0226 1.27 0.00
coef_destination_in_cbd_duration_shift_effects 0.0967 0.0220 4.39*** 0.00
coef_destination_in_cbd_early_departure_interaction-0.420 0.196-2.14* 0.00
coef_destination_in_cbd_late_arrival_interaction-0.267 0.283-0.94 0.00
coef_duration_constants_0_to_2_hours-2.06 0.351-5.88*** 0.00
coef_duration_constants_10_hours 0.00 NA NA 0.00fixed value
coef_duration_constants_11_hours-0.358 0.0855-4.19*** 0.00
coef_duration_constants_12_to_13_hours-1.13 0.126-9.00*** 0.00
coef_duration_constants_14_to_18_hours-1.85 0.206-9.00*** 0.00
coef_duration_constants_3_to_4_hours-0.600 0.269-2.23* 0.00
coef_duration_constants_5_to_6_hours-0.344 0.216-1.59 0.00
coef_duration_constants_7_to_8_hours-0.0340 0.168-0.20 0.00
coef_duration_constants_9_hours 0.137 0.0802 1.71 0.00
coef_first_of_2plus_work_tours_departure_shift_effects-0.290 0.0438-6.61*** 0.00
coef_first_of_2plus_work_tours_duration_lt_8_hrs 1.92 0.473 4.05*** 0.00
coef_first_of_2plus_work_tours_duration_shift_effects-0.286 0.117-2.44* 0.00
coef_free_flow_round_trip_auto_time_shift_effects_departure 0.000599 0.00113 0.53 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.00422 0.00113 3.74*** 0.00
coef_full_time_worker_10_to_12_departure_interaction-0.678 0.188-3.61*** 0.00
coef_full_time_worker_duration_lt_9_hours_interaction-1.36 0.151-8.96*** 0.00
coef_household_income_departure_shift_effects 0.000111 5.14e-05 2.17* 0.00
coef_household_income_early_departure_interaction-0.583 0.190-3.06** 0.00
coef_household_income_late_arrival_interaction 0.0300 0.261 0.11 0.00
coef_mode_choice_logsum 0.247 0.208 1.19 0.00
coef_non_working_adult_duration_shift_effects-0.121 7.38e-09-BIG*** 0.00
coef_part_time_worker_13_to_15_arrival_interaction 0.375 0.175 2.15* 0.00
coef_part_time_worker_departure_shift_effects 0.0951 0.0253 3.76*** 0.00
coef_previously_scheduled_tour_begins_in_this_arrival_hour-6.72 146.-0.05 0.00
coef_previously_scheduled_tour_ends_in_this_departure_hour 0.259 0.357 0.72 0.00
coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours-6.87 21.4-0.32 0.00
coef_rural_household_early_departure_interaction 0.404 1.82e-10 BIG*** 0.00
coef_rural_household_late_arrival_interaction-0.345 1.13e-10-BIG*** 0.00
coef_subsequent_2plus_work_departure_tours_shift_effects 0.0608 0.0688 0.88 0.00
coef_subsequent_2plus_work_duration_tours_shift_effects-0.0810 0.0775-1.05 0.00
coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs 5.44 1.37 3.97*** 0.00
coef_subsequent_tour_must_start_after_previous_tour_ends-100. NA NA 0.00fixed value
coef_tours_by_student_duration_lt_8_hrs 20.9 8.74e-05 BIG*** 0.00
coef_tours_by_worker_duration_lt_8_hrs 19.3 8.74e-05 BIG*** 0.00
coef_university_student_departure_shift_effects 0.0765 0.0340 2.25* 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.346 0.844 0.41 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-0.0972 0.215-0.45 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.104 0.118 0.88 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-0.535 0.816-0.66 0.00
coef_arrival_constants_am_peak-1.86 0.145-12.84*** 0.00
coef_arrival_constants_early 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_evening 0.109 0.0645 1.68 0.00
coef_arrival_constants_late-0.888 0.0858-10.35*** 0.00
coef_arrival_constants_midday_1-0.478 0.0618-7.73*** 0.00
coef_arrival_constants_midday_2-0.405 0.0420-9.64*** 0.00
coef_arrival_constants_pm_peak_1 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_pm_peak_2 0.320 0.0376 8.52*** 0.00
coef_arrival_constants_pm_peak_3 0.737 0.0414 17.81*** 0.00
coef_arrival_constants_pm_peak_4 0.834 0.0492 16.97*** 0.00
coef_departure_constants_am_peak_1-0.601 0.0240-25.03*** 0.00
coef_departure_constants_am_peak_2 0.00 0.00 NA 0.00fixed value
coef_departure_constants_am_peak_3-0.221 0.0223-9.89*** 0.00
coef_departure_constants_am_peak_4-1.21 0.0368-32.83*** 0.00
coef_departure_constants_early-0.931 0.0394-23.64*** 0.00
coef_departure_constants_evening-1.50 0.169-8.89*** 0.00
coef_departure_constants_late-2.89 0.523-5.53*** 0.00
coef_departure_constants_midday_1-1.68 0.0667-25.25*** 0.00
coef_departure_constants_midday_2-1.71 0.0823-20.76*** 0.00
coef_departure_constants_pm_peak-1.38 0.115-11.93*** 0.00
coef_destination_in_cbd_departure_shift_effects 0.0579 0.00940 6.16*** 0.00
coef_destination_in_cbd_duration_shift_effects 0.0702 0.00841 8.35*** 0.00
coef_destination_in_cbd_early_departure_interaction-0.365 0.0703-5.19*** 0.00
coef_destination_in_cbd_late_arrival_interaction-0.157 0.102-1.54 0.00
coef_duration_constants_0_to_2_hours-2.60 0.110-23.52*** 0.00
coef_duration_constants_10_hours 0.00 0.00 NA 0.00fixed value
coef_duration_constants_11_hours-0.317 0.0255-12.41*** 0.00
coef_duration_constants_12_to_13_hours-0.999 0.0368-27.14*** 0.00
coef_duration_constants_14_to_18_hours-1.64 0.0595-27.58*** 0.00
coef_duration_constants_3_to_4_hours-0.977 0.0830-11.76*** 0.00
coef_duration_constants_5_to_6_hours-0.786 0.0678-11.60*** 0.00
coef_duration_constants_7_to_8_hours-0.192 0.0520-3.69*** 0.00
coef_duration_constants_9_hours 0.0413 0.0245 1.69 0.00
coef_first_of_2plus_work_tours_departure_shift_effects-0.287 0.0162-17.76*** 0.00
coef_first_of_2plus_work_tours_duration_lt_8_hrs 2.16 0.150 14.40*** 0.00
coef_first_of_2plus_work_tours_duration_shift_effects-0.159 0.0411-3.88*** 0.00
coef_free_flow_round_trip_auto_time_shift_effects_departure-0.00116 0.000147-7.89*** 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.00210 0.000113 18.52*** 0.00
coef_full_time_worker_10_to_12_departure_interaction-0.474 0.0596-7.95*** 0.00
coef_full_time_worker_duration_lt_9_hours_interaction-1.19 0.0487-24.43*** 0.00
coef_household_income_departure_shift_effects 0.000219 3.32e-05 6.61*** 0.00
coef_household_income_early_departure_interaction-0.462 0.0533-8.67*** 0.00
coef_household_income_late_arrival_interaction-0.560 0.0878-6.38*** 0.00
coef_mode_choice_logsum 0.666 0.0752 8.86*** 0.00
coef_non_working_adult_duration_shift_effects-0.121 NA NA 0.00
coef_part_time_worker_13_to_15_arrival_interaction 0.688 0.0550 12.51*** 0.00
coef_part_time_worker_departure_shift_effects 0.0588 0.00877 6.70*** 0.00
coef_previously_scheduled_tour_begins_in_this_arrival_hour-1.25 3.92-0.32 0.00
coef_previously_scheduled_tour_ends_in_this_departure_hour-0.564 0.810-0.70 0.00
coef_remaining_tours_to_be_scheduled_div_number_of_unscheduled_hours-18.7 7.36-2.54* 0.00
coef_rural_household_early_departure_interaction 0.404 NA NA 0.00
coef_rural_household_late_arrival_interaction-0.345 2.80e-14-BIG*** 0.00
coef_subsequent_2plus_work_departure_tours_shift_effects 0.0599 0.0282 2.12* 0.00
coef_subsequent_2plus_work_duration_tours_shift_effects-0.353 0.0325-10.85*** 0.00
coef_subsequent_of_2plus_work_tours_duration_lt_8_hrs 2.61 0.544 4.80*** 0.00
coef_subsequent_tour_must_start_after_previous_tour_ends-100. 0.00 NA 0.00fixed value
coef_tours_by_student_duration_lt_8_hrs 2.62 0.456 5.75*** 0.00
coef_tours_by_worker_duration_lt_8_hrs 0.950 0.456 2.08* 0.00
coef_university_student_departure_shift_effects 0.0454 0.0124 3.66*** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -2702,7 +2891,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -2723,20 +2912,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -2755,7 +2933,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -2794,19 +2972,19 @@ " \n", " 1\n", " coef_free_flow_round_trip_auto_time_shift_effe...\n", - " 0.000599\n", + " -0.001158\n", " F\n", " \n", " \n", " 2\n", " coef_free_flow_round_trip_auto_time_shift_effe...\n", - " 0.004216\n", + " 0.002097\n", " F\n", " \n", " \n", " 3\n", " coef_part_time_worker_departure_shift_effects\n", - " 0.095094\n", + " 0.058805\n", " F\n", " \n", " \n", @@ -2824,7 +3002,7 @@ " \n", " 59\n", " coef_duration_constants_9_hours\n", - " 0.137251\n", + " 0.041325\n", " F\n", " \n", " \n", @@ -2836,19 +3014,19 @@ " \n", " 61\n", " coef_duration_constants_11_hours\n", - " -0.358479\n", + " -0.316543\n", " F\n", " \n", " \n", " 62\n", " coef_duration_constants_12_to_13_hours\n", - " -1.132000\n", + " -0.998700\n", " F\n", " \n", " \n", " 63\n", " coef_duration_constants_14_to_18_hours\n", - " -1.854875\n", + " -1.641305\n", " F\n", " \n", " \n", @@ -2859,21 +3037,21 @@ "text/plain": [ " coefficient_name value constrain\n", "0 coef_dummy 1.000000 T\n", - "1 coef_free_flow_round_trip_auto_time_shift_effe... 0.000599 F\n", - "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.004216 F\n", - "3 coef_part_time_worker_departure_shift_effects 0.095094 F\n", + "1 coef_free_flow_round_trip_auto_time_shift_effe... -0.001158 F\n", + "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.002097 F\n", + "3 coef_part_time_worker_departure_shift_effects 0.058805 F\n", "4 coef_non_working_adult_duration_shift_effects -0.120700 F\n", ".. ... ... ...\n", - "59 coef_duration_constants_9_hours 0.137251 F\n", + "59 coef_duration_constants_9_hours 0.041325 F\n", "60 coef_duration_constants_10_hours 0.000000 T\n", - "61 coef_duration_constants_11_hours -0.358479 F\n", - "62 coef_duration_constants_12_to_13_hours -1.132000 F\n", - "63 coef_duration_constants_14_to_18_hours -1.854875 F\n", + "61 coef_duration_constants_11_hours -0.316543 F\n", + "62 coef_duration_constants_12_to_13_hours -0.998700 F\n", + "63 coef_duration_constants_14_to_18_hours -1.641305 F\n", "\n", "[64 rows x 3 columns]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -2890,7 +3068,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -2904,7 +3082,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/09_school_tour_scheduling.ipynb b/activitysim/examples/example_estimation/notebooks/09_school_tour_scheduling.ipynb index 397fe3496..d05cc6e6f 100644 --- a/activitysim/examples/example_estimation/notebooks/09_school_tour_scheduling.ipynb +++ b/activitysim/examples/example_estimation/notebooks/09_school_tour_scheduling.ipynb @@ -34,27 +34,75 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +116,28 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_school/tour_scheduling_school_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_school/mandatory_tour_scheduling_school_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_school/mandatory_tour_scheduling_school_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/mandatory_tour_scheduling_school/mandatory_tour_scheduling_school_choosers_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"mandatory_tour_scheduling_school\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -673,28 +737,28 @@ " 23\n", " coef_adjacent_window_exists_before_this_depart...\n", " Adjacent window exists before this departure h...\n", - " @(df.tour_count>1) & (df.tour_num == 1) & _adj...\n", + " @(df.tour_count>1) * (df.tour_num == 1) * _adj...\n", " coef_adjacent_window_exists_before_this_depart...\n", " \n", " \n", " 24\n", " coef_adjacent_window_exists_after_this_arrival...\n", " Adjacent window exists after this arrival hour...\n", - " @(df.tour_count>1) & (df.tour_num == 1) & _adj...\n", + " @(df.tour_count>1) * (df.tour_num == 1) * _adj...\n", " coef_adjacent_window_exists_after_this_arrival...\n", " \n", " \n", " 25\n", " util_adjacent_window_exists_before_this_depart...\n", " Adjacent window exists before this departure h...\n", - " @(df.tour_num > 1) & _adjacent_window_before\n", + " @(df.tour_num > 1) * _adjacent_window_before\n", " coef_adjacent_window_exists_before_this_depart...\n", " \n", " \n", " 26\n", " util_adjacent_window_exists_after_this_arrival...\n", " Adjacent window exists after this arrival hour...\n", - " @(df.tour_num > 1) & _adjacent_window_after\n", + " @(df.tour_num > 1) * _adjacent_window_after\n", " coef_adjacent_window_exists_after_this_arrival...\n", " \n", " \n", @@ -713,7 +777,7 @@ " \n", " \n", " 29\n", - " util_departure_constants_am_peak_1 _6\n", + " util_departure_constants_am_peak_1_6\n", " Departure Constants -- AM peak 1 (6)\n", " start == 6\n", " coef_departure_constants_am_peak_1\n", @@ -940,7 +1004,7 @@ "26 util_adjacent_window_exists_after_this_arrival... \n", "27 util_remaining_work_school_tours_to_be_schedul... \n", "28 util_departure_constants_early_up_to_5 \n", - "29 util_departure_constants_am_peak_1 _6 \n", + "29 util_departure_constants_am_peak_1_6 \n", "30 util_departure_constants_am_peak_2_7 \n", "31 util_departure_constants_am_peak_3_8 \n", "32 util_departure_constants_am_peak_4_9 \n", @@ -1048,10 +1112,10 @@ "18 mode_choice_logsum \n", "21 @tt.previous_tour_ends(df.person_id, df.start) \n", "22 @tt.previous_tour_begins(df.person_id, df.end) \n", - "23 @(df.tour_count>1) & (df.tour_num == 1) & _adj... \n", - "24 @(df.tour_count>1) & (df.tour_num == 1) & _adj... \n", - "25 @(df.tour_num > 1) & _adjacent_window_before \n", - "26 @(df.tour_num > 1) & _adjacent_window_after \n", + "23 @(df.tour_count>1) * (df.tour_num == 1) * _adj... \n", + "24 @(df.tour_count>1) * (df.tour_num == 1) * _adj... \n", + "25 @(df.tour_num > 1) * _adjacent_window_before \n", + "26 @(df.tour_num > 1) * _adjacent_window_after \n", "27 @((df.tour_count>1) & (df.tour_num == 1)) * 1.... \n", "28 start < 6 \n", "29 start == 6 \n", @@ -1209,10 +1273,10 @@ " \n", " \n", " 0\n", - " 25820\n", - " 106\n", - " 121\n", - " 629\n", + " 78669\n", + " 136\n", + " 59\n", + " 1918\n", " school\n", " 1\n", " 1\n", @@ -1226,17 +1290,17 @@ " True\n", " True\n", " -1\n", - " 12\n", - " 131\n", + " 188\n", + " 186\n", " 5\n", " 5\n", " \n", " \n", " 1\n", - " 52265\n", - " 88\n", - " 86\n", - " 1274\n", + " 131846\n", + " 175\n", + " 59\n", + " 3215\n", " school\n", " 1\n", " 1\n", @@ -1250,17 +1314,17 @@ " True\n", " True\n", " -1\n", - " 10\n", - " 166\n", + " 229\n", + " 252\n", " 5\n", " 5\n", " \n", " \n", " 2\n", - " 1117937\n", - " 163\n", - " 163\n", - " 27266\n", + " 178873\n", + " 166\n", + " 45\n", + " 4362\n", " school\n", " 1\n", " 1\n", @@ -1274,17 +1338,17 @@ " True\n", " True\n", " -1\n", - " 12\n", - " 9\n", + " 342\n", + " 313\n", " 5\n", " 5\n", " \n", " \n", " 3\n", - " 1148523\n", - " 126\n", - " 56\n", - " 28012\n", + " 240250\n", + " 154\n", + " 64\n", + " 5859\n", " school\n", " 1\n", " 1\n", @@ -1298,17 +1362,17 @@ " True\n", " True\n", " -1\n", - " 5\n", - " 10\n", + " 490\n", + " 400\n", " 5\n", " 5\n", " \n", " \n", " 4\n", - " 1208547\n", - " 61\n", - " 61\n", - " 29476\n", + " 250131\n", + " 164\n", + " 74\n", + " 6100\n", " school\n", " 1\n", " 1\n", @@ -1322,8 +1386,8 @@ " True\n", " True\n", " -1\n", - " 13\n", - " 16\n", + " 545\n", + " 437\n", " 5\n", " 5\n", " \n", @@ -1352,59 +1416,59 @@ " ...\n", " \n", " \n", - " 604\n", - " 307969317\n", - " 170\n", - " 170\n", - " 7511446\n", + " 10347\n", + " 309517395\n", + " 78\n", + " 60\n", + " 7549204\n", " school\n", " 1\n", " 1\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " work_and_school\n", - " True\n", - " True\n", + " school1\n", + " False\n", " True\n", - " 92\n", - " 91\n", - " 8\n", - " 7\n", - " 12\n", + " False\n", + " -1\n", + " 885\n", + " 907\n", + " 5\n", + " 5\n", " \n", " \n", - " 605\n", - " 308122616\n", - " 163\n", - " 164\n", - " 7515185\n", + " 10348\n", + " 309518789\n", + " 45\n", + " 64\n", + " 7549238\n", " school\n", " 1\n", " 1\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " work_and_school\n", - " True\n", - " True\n", + " school1\n", + " False\n", " True\n", - " 16\n", - " 188\n", - " 142\n", - " 7\n", - " 14\n", + " False\n", + " -1\n", + " 1018\n", + " 910\n", + " 5\n", + " 5\n", " \n", " \n", - " 606\n", - " 308631508\n", - " 169\n", - " 169\n", - " 7527597\n", + " 10349\n", + " 309590785\n", + " 126\n", + " 46\n", + " 7550994\n", " school\n", " 1\n", " 1\n", @@ -1416,133 +1480,133 @@ " school1\n", " False\n", " True\n", - " True\n", + " False\n", " -1\n", - " 13\n", - " 188\n", + " 1091\n", + " 1124\n", " 5\n", " 5\n", " \n", " \n", - " 607\n", - " 309183983\n", - " 22\n", - " 20\n", - " 7541072\n", + " 10350\n", + " 309649169\n", + " 62\n", + " 28\n", + " 7552418\n", " school\n", - " 2\n", " 1\n", " 1\n", - " 2\n", + " 1\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " school2\n", + " school1\n", " False\n", " True\n", - " True\n", + " False\n", " -1\n", - " 107\n", - " 117\n", + " 1263\n", + " 1268\n", " 5\n", " 5\n", " \n", " \n", - " 608\n", - " 309183984\n", - " 180\n", - " 175\n", - " 7541072\n", + " 10351\n", + " 310038054\n", + " 38\n", + " 148\n", + " 7561903\n", " school\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " mandatory\n", " ...\n", " False\n", - " school2\n", + " school1\n", " False\n", " True\n", " True\n", " -1\n", - " 107\n", - " 117\n", - " 6\n", - " 9\n", + " 1127\n", + " 1121\n", + " 5\n", + " 5\n", " \n", " \n", "\n", - "

609 rows × 40 columns

\n", + "

10352 rows × 40 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 25820 106 121 629 school \n", - "1 52265 88 86 1274 school \n", - "2 1117937 163 163 27266 school \n", - "3 1148523 126 56 28012 school \n", - "4 1208547 61 61 29476 school \n", - ".. ... ... ... ... ... \n", - "604 307969317 170 170 7511446 school \n", - "605 308122616 163 164 7515185 school \n", - "606 308631508 169 169 7527597 school \n", - "607 309183983 22 20 7541072 school \n", - "608 309183984 180 175 7541072 school \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 78669 136 59 1918 school \n", + "1 131846 175 59 3215 school \n", + "2 178873 166 45 4362 school \n", + "3 240250 154 64 5859 school \n", + "4 250131 164 74 6100 school \n", + "... ... ... ... ... ... \n", + "10347 309517395 78 60 7549204 school \n", + "10348 309518789 45 64 7549238 school \n", + "10349 309590785 126 46 7550994 school \n", + "10350 309649169 62 28 7552418 school \n", + "10351 310038054 38 148 7561903 school \n", "\n", - " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", - "0 1 1 1 1 mandatory ... \n", - "1 1 1 1 1 mandatory ... \n", - "2 1 1 1 1 mandatory ... \n", - "3 1 1 1 1 mandatory ... \n", - "4 1 1 1 1 mandatory ... \n", - ".. ... ... ... ... ... ... \n", - "604 1 1 2 2 mandatory ... \n", - "605 1 1 2 2 mandatory ... \n", - "606 1 1 1 1 mandatory ... \n", - "607 2 1 1 2 mandatory ... \n", - "608 2 2 2 2 mandatory ... \n", + " tour_type_count tour_type_num tour_num tour_count tour_category \\\n", + "0 1 1 1 1 mandatory \n", + "1 1 1 1 1 mandatory \n", + "2 1 1 1 1 mandatory \n", + "3 1 1 1 1 mandatory \n", + "4 1 1 1 1 mandatory \n", + "... ... ... ... ... ... \n", + "10347 1 1 1 1 mandatory \n", + "10348 1 1 1 1 mandatory \n", + "10349 1 1 1 1 mandatory \n", + "10350 1 1 1 1 mandatory \n", + "10351 1 1 1 1 mandatory \n", "\n", - " home_is_rural mandatory_tour_frequency is_worker is_student \\\n", - "0 False school1 False True \n", - "1 False school1 False True \n", - "2 False school1 False True \n", - "3 False school1 False True \n", - "4 False school1 False True \n", - ".. ... ... ... ... \n", - "604 False work_and_school True True \n", - "605 False work_and_school True True \n", - "606 False school1 False True \n", - "607 False school2 False True \n", - "608 False school2 False True \n", + " ... home_is_rural mandatory_tour_frequency is_worker is_student \\\n", + "0 ... False school1 False True \n", + "1 ... False school1 False True \n", + "2 ... False school1 False True \n", + "3 ... False school1 False True \n", + "4 ... False school1 False True \n", + "... ... ... ... ... ... \n", + "10347 ... False school1 False True \n", + "10348 ... False school1 False True \n", + "10349 ... False school1 False True \n", + "10350 ... False school1 False True \n", + "10351 ... False school1 False True \n", "\n", - " is_university workplace_zone_id school_zone_id home_zone_id \\\n", - "0 True -1 12 131 \n", - "1 True -1 10 166 \n", - "2 True -1 12 9 \n", - "3 True -1 5 10 \n", - "4 True -1 13 16 \n", - ".. ... ... ... ... \n", - "604 True 92 91 8 \n", - "605 True 16 188 142 \n", - "606 True -1 13 188 \n", - "607 True -1 107 117 \n", - "608 True -1 107 117 \n", + " is_university workplace_zone_id school_zone_id home_zone_id \\\n", + "0 True -1 188 186 \n", + "1 True -1 229 252 \n", + "2 True -1 342 313 \n", + "3 True -1 490 400 \n", + "4 True -1 545 437 \n", + "... ... ... ... ... \n", + "10347 False -1 885 907 \n", + "10348 False -1 1018 910 \n", + "10349 False -1 1091 1124 \n", + "10350 False -1 1263 1268 \n", + "10351 True -1 1127 1121 \n", "\n", - " start_previous end_previous \n", - "0 5 5 \n", - "1 5 5 \n", - "2 5 5 \n", - "3 5 5 \n", - "4 5 5 \n", - ".. ... ... \n", - "604 7 12 \n", - "605 7 14 \n", - "606 5 5 \n", - "607 5 5 \n", - "608 6 9 \n", + " start_previous end_previous \n", + "0 5 5 \n", + "1 5 5 \n", + "2 5 5 \n", + "3 5 5 \n", + "4 5 5 \n", + "... ... ... \n", + "10347 5 5 \n", + "10348 5 5 \n", + "10349 5 5 \n", + "10350 5 5 \n", + "10351 5 5 \n", "\n", - "[609 rows x 40 columns]" + "[10352 rows x 40 columns]" ] }, "execution_count": 6, @@ -1588,148 +1652,148 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", + " start\n", + " end\n", + " duration\n", + " tdd\n", + " out_period\n", + " in_period\n", + " mode_choice_logsum\n", + " util_roundtrip_auto_time_to_work\n", + " util_ft_worker_departure\n", " ...\n", - " 180\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", + " util_arrival_constants_late_22_and_later\n", + " util_duration_constants_0_to_2_hours\n", + " util_duration_constants_3_to_4_hours\n", + " util_duration_constants_5_to_6_hours\n", + " util_duration_constants_7_to_8_hours\n", + " util_duration_constants_9_hours\n", + " util_duration_constants_10_hours\n", + " util_duration_constants_11_hours\n", + " util_duration_constants_12_to_13_hours\n", + " util_duration_constants_14_to_18_hours\n", " \n", " \n", " \n", " \n", " 0\n", - " 25820\n", - " duration\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", + " 78669\n", + " 5\n", " 5\n", - " 6\n", - " 7\n", - " ...\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", " 0\n", - " 1\n", - " 2\n", " 0\n", - " 1\n", + " EA\n", + " EA\n", + " -0.558633\n", + " 0.0\n", " 0\n", + " ...\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 1\n", - " 25820\n", - " end\n", + " 78669\n", " 5\n", " 6\n", - " 7\n", - " 8\n", - " 9\n", - " 10\n", - " 11\n", - " 12\n", + " 1\n", + " 1\n", + " EA\n", + " AM\n", + " -0.452321\n", + " 0.0\n", + " 0\n", " ...\n", - " 20\n", - " 21\n", - " 22\n", - " 23\n", - " 21\n", - " 22\n", - " 23\n", - " 22\n", - " 23\n", - " 23\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 2\n", - " 25820\n", - " in_period\n", + " 78669\n", + " 5\n", + " 7\n", + " 2\n", + " 2\n", " EA\n", " AM\n", - " AM\n", - " AM\n", - " AM\n", - " MD\n", - " MD\n", - " MD\n", + " -0.452321\n", + " 0.0\n", + " 0\n", " ...\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 3\n", - " 25820\n", - " mode_choice_logsum\n", - " -1.296359741907684\n", - " -1.3037984712857993\n", - " -1.3037984712857993\n", - " -1.3037984712857993\n", - " -1.3037984712857993\n", - " -1.3201068063134296\n", - " -1.3201068063134296\n", - " -1.3201068063134296\n", + " 78669\n", + " 5\n", + " 8\n", + " 3\n", + " 3\n", + " EA\n", + " AM\n", + " -0.452321\n", + " 0.0\n", + " 0\n", " ...\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", - " -1.5517476709880444\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 4\n", - " 25820\n", - " out_period\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", - " EA\n", + " 78669\n", + " 5\n", + " 9\n", + " 4\n", + " 4\n", " EA\n", + " AM\n", + " -0.452321\n", + " 0.0\n", + " 0\n", " ...\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", - " EV\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " ...\n", @@ -1756,68 +1820,68 @@ " ...\n", " \n", " \n", - " 37144\n", - " 309183984\n", - " util_subsequent_2plus_school_tours_duration\n", - " 0\n", + " 1912825\n", + " 310038054\n", + " 21\n", + " 22\n", " 1\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 185\n", + " EV\n", + " EV\n", + " 1.881379\n", + " 0.0\n", " 0\n", " ...\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 0\n", - " 1\n", - " 2\n", - " 0\n", - " 1\n", - " 0\n", - " \n", - " \n", - " 37145\n", - " 309183984\n", - " util_subsequent_of_2plus_school_lt_6_hours\n", " True\n", " True\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " \n", + " \n", + " 1912826\n", + " 310038054\n", + " 21\n", + " 23\n", + " 2\n", + " 186\n", + " EV\n", + " EV\n", + " 1.881379\n", + " 0.0\n", " 0\n", " ...\n", " True\n", " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 37146\n", - " 309183984\n", - " util_subsequent_tour_must_start_after_previous...\n", - " True\n", - " True\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 1912827\n", + " 310038054\n", + " 22\n", + " 22\n", " 0\n", + " 187\n", + " EV\n", + " EV\n", + " 1.881379\n", + " 0.0\n", " 0\n", " ...\n", - " False\n", - " False\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", @@ -1828,151 +1892,216 @@ " False\n", " \n", " \n", - " 37147\n", - " 309183984\n", - " util_univ_departure\n", - " 5\n", - " 5\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 20\n", - " 20\n", - " 20\n", - " 20\n", - " 21\n", - " 21\n", - " 21\n", - " 22\n", + " 1912828\n", + " 310038054\n", " 22\n", " 23\n", - " \n", - " \n", - " 37148\n", - " 309183984\n", - " util_univ_duration\n", - " 0\n", " 1\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 188\n", + " EV\n", + " EV\n", + " 1.881379\n", + " 0.0\n", " 0\n", " ...\n", + " True\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " \n", + " \n", + " 1912829\n", + " 310038054\n", + " 23\n", + " 23\n", " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 0\n", - " 1\n", - " 2\n", - " 0\n", - " 1\n", + " 189\n", + " EV\n", + " EV\n", + " 1.881379\n", + " 0.0\n", " 0\n", + " ...\n", + " True\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", "\n", - "

37149 rows × 192 columns

\n", + "

1912830 rows × 63 columns

\n", "" ], "text/plain": [ - " tour_id variable \\\n", - "0 25820 duration \n", - "1 25820 end \n", - "2 25820 in_period \n", - "3 25820 mode_choice_logsum \n", - "4 25820 out_period \n", - "... ... ... \n", - "37144 309183984 util_subsequent_2plus_school_tours_duration \n", - "37145 309183984 util_subsequent_of_2plus_school_lt_6_hours \n", - "37146 309183984 util_subsequent_tour_must_start_after_previous... \n", - "37147 309183984 util_univ_departure \n", - "37148 309183984 util_univ_duration \n", + " tour_id start end duration tdd out_period in_period \\\n", + "0 78669 5 5 0 0 EA EA \n", + "1 78669 5 6 1 1 EA AM \n", + "2 78669 5 7 2 2 EA AM \n", + "3 78669 5 8 3 3 EA AM \n", + "4 78669 5 9 4 4 EA AM \n", + "... ... ... ... ... ... ... ... \n", + "1912825 310038054 21 22 1 185 EV EV \n", + "1912826 310038054 21 23 2 186 EV EV \n", + "1912827 310038054 22 22 0 187 EV EV \n", + "1912828 310038054 22 23 1 188 EV EV \n", + "1912829 310038054 23 23 0 189 EV EV \n", + "\n", + " mode_choice_logsum util_roundtrip_auto_time_to_work \\\n", + "0 -0.558633 0.0 \n", + "1 -0.452321 0.0 \n", + "2 -0.452321 0.0 \n", + "3 -0.452321 0.0 \n", + "4 -0.452321 0.0 \n", + "... ... ... \n", + "1912825 1.881379 0.0 \n", + "1912826 1.881379 0.0 \n", + "1912827 1.881379 0.0 \n", + "1912828 1.881379 0.0 \n", + "1912829 1.881379 0.0 \n", + "\n", + " util_ft_worker_departure ... \\\n", + "0 0 ... \n", + "1 0 ... \n", + "2 0 ... \n", + "3 0 ... \n", + "4 0 ... \n", + "... ... ... \n", + "1912825 0 ... \n", + "1912826 0 ... \n", + "1912827 0 ... \n", + "1912828 0 ... \n", + "1912829 0 ... \n", + "\n", + " util_arrival_constants_late_22_and_later \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 True \n", + "1912826 True \n", + "1912827 True \n", + "1912828 True \n", + "1912829 True \n", + "\n", + " util_duration_constants_0_to_2_hours \\\n", + "0 True \n", + "1 True \n", + "2 True \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 True \n", + "1912826 True \n", + "1912827 True \n", + "1912828 True \n", + "1912829 True \n", "\n", - " 0 1 2 \\\n", - "0 0 1 2 \n", - "1 5 6 7 \n", - "2 EA AM AM \n", - "3 -1.296359741907684 -1.3037984712857993 -1.3037984712857993 \n", - "4 EA EA EA \n", - "... ... ... ... \n", - "37144 0 1 0 \n", - "37145 True True 0 \n", - "37146 True True 0 \n", - "37147 5 5 0 \n", - "37148 0 1 0 \n", + " util_duration_constants_3_to_4_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 True \n", + "4 True \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", "\n", - " 3 4 5 \\\n", - "0 3 4 5 \n", - "1 8 9 10 \n", - "2 AM AM MD \n", - "3 -1.3037984712857993 -1.3037984712857993 -1.3201068063134296 \n", - "4 EA EA EA \n", - "... ... ... ... \n", - "37144 0 0 0 \n", - "37145 0 0 0 \n", - "37146 0 0 0 \n", - "37147 0 0 0 \n", - "37148 0 0 0 \n", + " util_duration_constants_5_to_6_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", "\n", - " 6 7 ... 180 \\\n", - "0 6 7 ... 0 \n", - "1 11 12 ... 20 \n", - "2 MD MD ... EV \n", - "3 -1.3201068063134296 -1.3201068063134296 ... -1.5517476709880444 \n", - "4 EA EA ... EV \n", - "... ... ... ... ... \n", - "37144 0 0 ... 0 \n", - "37145 0 0 ... True \n", - "37146 0 0 ... False \n", - "37147 0 0 ... 20 \n", - "37148 0 0 ... 0 \n", + " util_duration_constants_7_to_8_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", "\n", - " 181 182 183 \\\n", - "0 1 2 3 \n", - "1 21 22 23 \n", - "2 EV EV EV \n", - "3 -1.5517476709880444 -1.5517476709880444 -1.5517476709880444 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "37144 1 2 3 \n", - "37145 True True True \n", - "37146 False False False \n", - "37147 20 20 20 \n", - "37148 1 2 3 \n", + " util_duration_constants_9_hours util_duration_constants_10_hours \\\n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "1912825 False False \n", + "1912826 False False \n", + "1912827 False False \n", + "1912828 False False \n", + "1912829 False False \n", "\n", - " 184 185 186 \\\n", - "0 0 1 2 \n", - "1 21 22 23 \n", - "2 EV EV EV \n", - "3 -1.5517476709880444 -1.5517476709880444 -1.5517476709880444 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "37144 0 1 2 \n", - "37145 True True True \n", - "37146 False False False \n", - "37147 21 21 21 \n", - "37148 0 1 2 \n", + " util_duration_constants_11_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", "\n", - " 187 188 189 \n", - "0 0 1 0 \n", - "1 22 23 23 \n", - "2 EV EV EV \n", - "3 -1.5517476709880444 -1.5517476709880444 -1.5517476709880444 \n", - "4 EV EV EV \n", - "... ... ... ... \n", - "37144 0 1 0 \n", - "37145 True True True \n", - "37146 False False False \n", - "37147 22 22 23 \n", - "37148 0 1 0 \n", + " util_duration_constants_12_to_13_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", "\n", - "[37149 rows x 192 columns]" + " util_duration_constants_14_to_18_hours \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "1912825 False \n", + "1912826 False \n", + "1912827 False \n", + "1912828 False \n", + "1912829 False \n", + "\n", + "[1912830 rows x 63 columns]" ] }, "execution_count": 7, @@ -2002,13 +2131,80 @@ "name": "stderr", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "problem: chosen_but_not_available has (46 issues)\n" ] }, + { + "data": { + "text/plain": [ + "(,\n", + " ┣ chosen_but_not_available: altid n example rows\n", + " ┃ 0 42 1 3775\n", + " ┃ 1 43 1 3607\n", + " ┃ 2 56 1 2492\n", + " ┃ 3 57 1 9754\n", + " ┃ 4 58 1 3045\n", + " ┃ 5 60 1 4646\n", + " ┃ 6 72 2 2490, 5457\n", + " ┃ 7 76 2 2863, 7566\n", + " ┃ 8 89 1 178\n", + " ┃ 9 90 2 8286, 9903\n", + " ┃ 10 100 1 4456\n", + " ┃ 11 102 3 15, 4847, 7101\n", + " ┃ 12 103 1 4586\n", + " ┃ 13 104 2 1063, 3558\n", + " ┃ 14 105 2 3258, 4140\n", + " ┃ 15 113 2 117, 499\n", + " ┃ 16 114 3 4784, 6830, 7852\n", + " ┃ 17 115 1 604\n", + " ┃ 18 116 5 588, 3916, 7212\n", + " ┃ 19 117 1 145\n", + " ┃ 20 118 4 5150, 5158, 6843\n", + " ┃ 21 120 1 5714\n", + " ┃ 22 125 2 2341, 6819\n", + " ┃ 23 127 2 3989, 5454\n", + " ┃ 24 128 4 1505, 2340, 4408\n", + " ┃ 25 129 1 8024\n", + " ┃ 26 130 2 5146, 9537\n", + " ┃ 27 136 2 932, 1303\n", + " ┃ 28 138 1 8854\n", + " ┃ 29 139 2 4901, 5428\n", + " ┃ 30 140 1 2116\n", + " ┃ 31 141 2 2305, 5424\n", + " ┃ 32 146 4 54, 2193, 2350\n", + " ┃ 33 147 2 7792, 9568\n", + " ┃ 34 156 2 7158, 7229\n", + " ┃ 35 157 1 9717\n", + " ┃ 36 158 1 7840\n", + " ┃ 37 159 2 111, 7231\n", + " ┃ 38 163 2 540, 7847\n", + " ┃ 39 164 2 188, 1819\n", + " ┃ 40 166 1 2035\n", + " ┃ 41 167 1 2976\n", + " ┃ 42 168 1 2143\n", + " ┃ 43 170 2 5247, 7868\n", + " ┃ 44 171 1 64\n", + " ┃ 45 183 1 9440)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.doctor(repair_ch_av=\"-\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "

Iteration 077 [Optimization terminated successfully]

" + "

Iteration 139 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -2020,7 +2216,7 @@ { "data": { "text/html": [ - "

Best LL = -2331.7420221780226

" + "

Best LL = -39483.50824582766

" ], "text/plain": [ "" @@ -2051,853 +2247,811 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -0.414229\n", + " 0.232285\n", + " 0.232285\n", " -0.003049\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.414229\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " -0.640186\n", + " -1.201676\n", + " -1.201676\n", " -0.527100\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.640186\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " 1.656920\n", + " -0.419250\n", + " -0.419250\n", " 0.089750\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.656920\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " 0.225722\n", + " -0.760747\n", + " -0.760747\n", " -0.440000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.225722\n", " \n", " \n", " coef_all_adults_ft_worker_duration\n", - " 0.052336\n", + " 0.079713\n", + " 0.079713\n", " 0.109300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.052336\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " -2.239162\n", + " -2.595385\n", + " -2.595385\n", " -2.428718\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.239162\n", " \n", " \n", " coef_arrival_constants_early\n", - " -1.065980\n", + " -2.446580\n", + " -2.446580\n", " -2.428718\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.065980\n", " \n", " \n", " coef_arrival_constants_evening\n", - " -1.033329\n", + " -0.707272\n", + " -0.707272\n", " -0.870147\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.033329\n", " \n", " \n", " coef_arrival_constants_late\n", - " -1.315910\n", + " -1.639520\n", + " -1.639520\n", " -1.752000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.315910\n", " \n", " \n", " coef_arrival_constants_midday_1\n", - " -1.302330\n", + " -1.267988\n", + " -1.267988\n", " -1.237909\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.302330\n", " \n", " \n", " coef_arrival_constants_midday_2\n", - " -0.554673\n", + " -0.523484\n", + " -0.523484\n", " -0.539769\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.554673\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " -0.441387\n", + " -0.360268\n", + " -0.360268\n", " -0.389169\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.441387\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", - " -0.281247\n", + " -0.096426\n", + " -0.096426\n", " -0.198120\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.281247\n", " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " -0.370368\n", + " -0.127905\n", + " -0.127905\n", " -0.253625\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.370368\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -1.882694\n", + " -1.606835\n", + " -1.606835\n", " -1.617644\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.882694\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_departure_constants_am_peak_3\n", - " -0.183985\n", + " -0.100582\n", + " -0.100582\n", " -0.073827\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.183985\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " -2.016403\n", + " -2.142432\n", + " -2.142432\n", " -2.080571\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.016403\n", " \n", " \n", " coef_departure_constants_early\n", - " -3.636770\n", + " -3.850945\n", + " -3.850945\n", " -3.820662\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -3.636770\n", " \n", " \n", " coef_departure_constants_evening\n", - " -5.258795\n", + " -5.546826\n", + " -5.546826\n", " -5.230288\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -5.258795\n", " \n", " \n", " coef_departure_constants_late\n", - " -21.447622\n", + " -10.890722\n", + " -10.890722\n", " -11.886047\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -21.447622\n", " \n", " \n", " coef_departure_constants_midday_1\n", - " -3.279864\n", + " -3.124481\n", + " -3.124481\n", " -2.985739\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -3.279864\n", " \n", " \n", " coef_departure_constants_midday_2\n", - " -3.750548\n", + " -3.861525\n", + " -3.861525\n", " -3.628435\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -3.750548\n", " \n", " \n", " coef_departure_constants_pm_peak\n", - " -3.093167\n", + " -3.281532\n", + " -3.281532\n", " -3.102505\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -3.093167\n", " \n", " \n", " coef_duration_constants_0_to_2_hours\n", - " -1.372110\n", + " -1.318085\n", + " -1.318085\n", " -1.409956\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.372110\n", " \n", " \n", " coef_duration_constants_10_hours\n", - " -0.876448\n", + " -0.914359\n", + " -0.914359\n", " -0.904789\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.876448\n", " \n", " \n", " coef_duration_constants_11_hours\n", - " -1.127264\n", + " -1.643692\n", + " -1.643692\n", " -1.521163\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.127264\n", " \n", " \n", " coef_duration_constants_12_to_13_hours\n", - " -2.668346\n", + " -2.528269\n", + " -2.528269\n", " -2.418489\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.668346\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -2.675974\n", + " -2.541672\n", + " -2.541672\n", " -2.503137\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.675974\n", " \n", " \n", " coef_duration_constants_3_to_4_hours\n", - " -0.552200\n", + " -0.680239\n", + " -0.680239\n", " -0.745893\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.552200\n", " \n", " \n", " coef_duration_constants_5_to_6_hours\n", - " -0.532627\n", + " -0.551126\n", + " -0.551126\n", " -0.567637\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.532627\n", " \n", " \n", " coef_duration_constants_7_to_8_hours\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_duration_constants_9_hours\n", - " -0.487609\n", + " -0.664353\n", + " -0.664353\n", " -0.650807\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.487609\n", " \n", " \n", " coef_first_of_2plus_school_lt_6_hours\n", - " 0.169055\n", + " 1.768123\n", + " 1.768123\n", " 1.487000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.169055\n", " \n", " \n", " coef_first_of_2plus_school_tours_departure\n", - " -0.333830\n", + " -0.277161\n", + " -0.277161\n", " -0.300200\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.333830\n", " \n", " \n", " coef_first_of_2plus_school_tours_duration\n", - " -0.042558\n", + " -0.077846\n", + " -0.077846\n", " -0.159300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.042558\n", " \n", " \n", " coef_ft_worker_departure\n", " 0.397100\n", " 0.397100\n", - " 0.0\n", + " 0.397100\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.397100\n", " \n", " \n", " coef_ft_worker_duration\n", " -0.190800\n", " -0.190800\n", - " 0.0\n", + " -0.190800\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.190800\n", " \n", " \n", " coef_hh_income_early_departure\n", - " -13.757852\n", + " -0.643531\n", + " -0.643531\n", " -0.883700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -13.757852\n", " \n", " \n", " coef_hh_income_late_arrival\n", - " 0.101726\n", + " -0.123912\n", + " -0.123912\n", " -0.353300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.101726\n", " \n", " \n", " coef_mode_choice_logsum\n", - " 0.056410\n", + " 1.403530\n", + " 1.403530\n", " 2.127000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.056410\n", " \n", " \n", " coef_non_worker_departure\n", " 0.553900\n", " 0.553900\n", - " 0.0\n", + " 0.553900\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.553900\n", " \n", " \n", " coef_previous_tour_begins_this_arrival_hour\n", - " -10.370632\n", + " 1.748525\n", + " 1.748525\n", " -1.102000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -10.370632\n", " \n", " \n", " coef_previous_tour_ends_this_departure_hour\n", - " 0.298551\n", + " -1.454921\n", + " -1.454921\n", " -0.599500\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.298551\n", " \n", " \n", " coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours\n", - " -25.000000\n", + " -16.666935\n", + " -16.666935\n", " -16.670000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -25.000000\n", " \n", " \n", " coef_roundtrip_auto_time_to_work\n", - " 0.005137\n", + " 0.002946\n", + " 0.002946\n", " 0.003195\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.005137\n", " \n", " \n", " coef_school_plus_work_tours_by_student_lt_6_hours\n", - " -2.483313\n", + " 1.805060\n", + " 1.805060\n", " 1.730000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.483313\n", " \n", " \n", " coef_school_plus_work_tours_by_worker_lt_6_hours\n", - " -2.071313\n", + " 2.217060\n", + " 2.217060\n", " 2.142000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.071313\n", " \n", " \n", " coef_student_driver_duration\n", - " -0.003958\n", + " 0.021414\n", + " 0.021414\n", " 0.034640\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.003958\n", " \n", " \n", " coef_subsequent_2plus_school_tours_duration\n", - " -0.188299\n", + " -0.309377\n", + " -0.309377\n", " -0.233800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.188299\n", " \n", " \n", " coef_subsequent_of_2plus_school_lt_6_hours\n", - " 25.000000\n", + " 1.522961\n", + " 1.522961\n", " 2.142000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 25.000000\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_ends\n", " -100.000000\n", " -100.000000\n", + " -100.000000\n", + " -100.0\n", + " -100.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " -100.000000\n", " \n", " \n", " coef_univ_departure\n", - " 0.234367\n", + " 0.281763\n", + " 0.281763\n", " 0.280000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.234367\n", " \n", " \n", " coef_univ_duration\n", - " -0.409132\n", + " -0.287541\n", + " -0.287541\n", " -0.290700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.409132\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_adjacent_window_exists_after_this_arrival_... -0.414229 -0.003049 \n", - "coef_adjacent_window_exists_after_this_arrival_... -0.640186 -0.527100 \n", - "coef_adjacent_window_exists_before_this_departu... 1.656920 0.089750 \n", - "coef_adjacent_window_exists_before_this_departu... 0.225722 -0.440000 \n", - "coef_all_adults_ft_worker_duration 0.052336 0.109300 \n", - "coef_arrival_constants_am_peak -2.239162 -2.428718 \n", - "coef_arrival_constants_early -1.065980 -2.428718 \n", - "coef_arrival_constants_evening -1.033329 -0.870147 \n", - "coef_arrival_constants_late -1.315910 -1.752000 \n", - "coef_arrival_constants_midday_1 -1.302330 -1.237909 \n", - "coef_arrival_constants_midday_2 -0.554673 -0.539769 \n", + " value best \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0.232285 0.232285 \n", + "coef_adjacent_window_exists_after_this_arrival_... -1.201676 -1.201676 \n", + "coef_adjacent_window_exists_before_this_departu... -0.419250 -0.419250 \n", + "coef_adjacent_window_exists_before_this_departu... -0.760747 -0.760747 \n", + "coef_all_adults_ft_worker_duration 0.079713 0.079713 \n", + "coef_arrival_constants_am_peak -2.595385 -2.595385 \n", + "coef_arrival_constants_early -2.446580 -2.446580 \n", + "coef_arrival_constants_evening -0.707272 -0.707272 \n", + "coef_arrival_constants_late -1.639520 -1.639520 \n", + "coef_arrival_constants_midday_1 -1.267988 -1.267988 \n", + "coef_arrival_constants_midday_2 -0.523484 -0.523484 \n", "coef_arrival_constants_pm_peak_1 0.000000 0.000000 \n", - "coef_arrival_constants_pm_peak_2 -0.441387 -0.389169 \n", - "coef_arrival_constants_pm_peak_3 -0.281247 -0.198120 \n", - "coef_arrival_constants_pm_peak_4 -0.370368 -0.253625 \n", - "coef_departure_constants_am_peak_1 -1.882694 -1.617644 \n", + "coef_arrival_constants_pm_peak_2 -0.360268 -0.360268 \n", + "coef_arrival_constants_pm_peak_3 -0.096426 -0.096426 \n", + "coef_arrival_constants_pm_peak_4 -0.127905 -0.127905 \n", + "coef_departure_constants_am_peak_1 -1.606835 -1.606835 \n", "coef_departure_constants_am_peak_2 0.000000 0.000000 \n", - "coef_departure_constants_am_peak_3 -0.183985 -0.073827 \n", - "coef_departure_constants_am_peak_4 -2.016403 -2.080571 \n", - "coef_departure_constants_early -3.636770 -3.820662 \n", - "coef_departure_constants_evening -5.258795 -5.230288 \n", - "coef_departure_constants_late -21.447622 -11.886047 \n", - "coef_departure_constants_midday_1 -3.279864 -2.985739 \n", - "coef_departure_constants_midday_2 -3.750548 -3.628435 \n", - "coef_departure_constants_pm_peak -3.093167 -3.102505 \n", - "coef_duration_constants_0_to_2_hours -1.372110 -1.409956 \n", - "coef_duration_constants_10_hours -0.876448 -0.904789 \n", - "coef_duration_constants_11_hours -1.127264 -1.521163 \n", - "coef_duration_constants_12_to_13_hours -2.668346 -2.418489 \n", - "coef_duration_constants_14_to_18_hours -2.675974 -2.503137 \n", - "coef_duration_constants_3_to_4_hours -0.552200 -0.745893 \n", - "coef_duration_constants_5_to_6_hours -0.532627 -0.567637 \n", + "coef_departure_constants_am_peak_3 -0.100582 -0.100582 \n", + "coef_departure_constants_am_peak_4 -2.142432 -2.142432 \n", + "coef_departure_constants_early -3.850945 -3.850945 \n", + "coef_departure_constants_evening -5.546826 -5.546826 \n", + "coef_departure_constants_late -10.890722 -10.890722 \n", + "coef_departure_constants_midday_1 -3.124481 -3.124481 \n", + "coef_departure_constants_midday_2 -3.861525 -3.861525 \n", + "coef_departure_constants_pm_peak -3.281532 -3.281532 \n", + "coef_duration_constants_0_to_2_hours -1.318085 -1.318085 \n", + "coef_duration_constants_10_hours -0.914359 -0.914359 \n", + "coef_duration_constants_11_hours -1.643692 -1.643692 \n", + "coef_duration_constants_12_to_13_hours -2.528269 -2.528269 \n", + "coef_duration_constants_14_to_18_hours -2.541672 -2.541672 \n", + "coef_duration_constants_3_to_4_hours -0.680239 -0.680239 \n", + "coef_duration_constants_5_to_6_hours -0.551126 -0.551126 \n", "coef_duration_constants_7_to_8_hours 0.000000 0.000000 \n", - "coef_duration_constants_9_hours -0.487609 -0.650807 \n", - "coef_first_of_2plus_school_lt_6_hours 0.169055 1.487000 \n", - "coef_first_of_2plus_school_tours_departure -0.333830 -0.300200 \n", - "coef_first_of_2plus_school_tours_duration -0.042558 -0.159300 \n", + "coef_duration_constants_9_hours -0.664353 -0.664353 \n", + "coef_first_of_2plus_school_lt_6_hours 1.768123 1.768123 \n", + "coef_first_of_2plus_school_tours_departure -0.277161 -0.277161 \n", + "coef_first_of_2plus_school_tours_duration -0.077846 -0.077846 \n", "coef_ft_worker_departure 0.397100 0.397100 \n", "coef_ft_worker_duration -0.190800 -0.190800 \n", - "coef_hh_income_early_departure -13.757852 -0.883700 \n", - "coef_hh_income_late_arrival 0.101726 -0.353300 \n", - "coef_mode_choice_logsum 0.056410 2.127000 \n", + "coef_hh_income_early_departure -0.643531 -0.643531 \n", + "coef_hh_income_late_arrival -0.123912 -0.123912 \n", + "coef_mode_choice_logsum 1.403530 1.403530 \n", "coef_non_worker_departure 0.553900 0.553900 \n", - "coef_previous_tour_begins_this_arrival_hour -10.370632 -1.102000 \n", - "coef_previous_tour_ends_this_departure_hour 0.298551 -0.599500 \n", - "coef_remaining_work_school_tours_to_be_schedule... -25.000000 -16.670000 \n", - "coef_roundtrip_auto_time_to_work 0.005137 0.003195 \n", - "coef_school_plus_work_tours_by_student_lt_6_hours -2.483313 1.730000 \n", - "coef_school_plus_work_tours_by_worker_lt_6_hours -2.071313 2.142000 \n", - "coef_student_driver_duration -0.003958 0.034640 \n", - "coef_subsequent_2plus_school_tours_duration -0.188299 -0.233800 \n", - "coef_subsequent_of_2plus_school_lt_6_hours 25.000000 2.142000 \n", + "coef_previous_tour_begins_this_arrival_hour 1.748525 1.748525 \n", + "coef_previous_tour_ends_this_departure_hour -1.454921 -1.454921 \n", + "coef_remaining_work_school_tours_to_be_schedule... -16.666935 -16.666935 \n", + "coef_roundtrip_auto_time_to_work 0.002946 0.002946 \n", + "coef_school_plus_work_tours_by_student_lt_6_hours 1.805060 1.805060 \n", + "coef_school_plus_work_tours_by_worker_lt_6_hours 2.217060 2.217060 \n", + "coef_student_driver_duration 0.021414 0.021414 \n", + "coef_subsequent_2plus_school_tours_duration -0.309377 -0.309377 \n", + "coef_subsequent_of_2plus_school_lt_6_hours 1.522961 1.522961 \n", "coef_subsequent_tour_must_start_after_previous_... -100.000000 -100.000000 \n", - "coef_univ_departure 0.234367 0.280000 \n", - "coef_univ_duration -0.409132 -0.290700 \n", + "coef_univ_departure 0.281763 0.281763 \n", + "coef_univ_duration -0.287541 -0.287541 \n", "\n", - " nullvalue minimum \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_all_adults_ft_worker_duration 0.0 -25.0 \n", - "coef_arrival_constants_am_peak 0.0 -25.0 \n", - "coef_arrival_constants_early 0.0 -25.0 \n", - "coef_arrival_constants_evening 0.0 -25.0 \n", - "coef_arrival_constants_late 0.0 -25.0 \n", - "coef_arrival_constants_midday_1 0.0 -25.0 \n", - "coef_arrival_constants_midday_2 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_1 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_2 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_3 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_4 0.0 -25.0 \n", - "coef_departure_constants_am_peak_1 0.0 -25.0 \n", - "coef_departure_constants_am_peak_2 0.0 -25.0 \n", - "coef_departure_constants_am_peak_3 0.0 -25.0 \n", - "coef_departure_constants_am_peak_4 0.0 -25.0 \n", - "coef_departure_constants_early 0.0 -25.0 \n", - "coef_departure_constants_evening 0.0 -25.0 \n", - "coef_departure_constants_late 0.0 -25.0 \n", - "coef_departure_constants_midday_1 0.0 -25.0 \n", - "coef_departure_constants_midday_2 0.0 -25.0 \n", - "coef_departure_constants_pm_peak 0.0 -25.0 \n", - "coef_duration_constants_0_to_2_hours 0.0 -25.0 \n", - "coef_duration_constants_10_hours 0.0 -25.0 \n", - "coef_duration_constants_11_hours 0.0 -25.0 \n", - "coef_duration_constants_12_to_13_hours 0.0 -25.0 \n", - "coef_duration_constants_14_to_18_hours 0.0 -25.0 \n", - "coef_duration_constants_3_to_4_hours 0.0 -25.0 \n", - "coef_duration_constants_5_to_6_hours 0.0 -25.0 \n", - "coef_duration_constants_7_to_8_hours 0.0 -25.0 \n", - "coef_duration_constants_9_hours 0.0 -25.0 \n", - "coef_first_of_2plus_school_lt_6_hours 0.0 -25.0 \n", - "coef_first_of_2plus_school_tours_departure 0.0 -25.0 \n", - "coef_first_of_2plus_school_tours_duration 0.0 -25.0 \n", - "coef_ft_worker_departure 0.0 -25.0 \n", - "coef_ft_worker_duration 0.0 -25.0 \n", - "coef_hh_income_early_departure 0.0 -25.0 \n", - "coef_hh_income_late_arrival 0.0 -25.0 \n", - "coef_mode_choice_logsum 0.0 -25.0 \n", - "coef_non_worker_departure 0.0 -25.0 \n", - "coef_previous_tour_begins_this_arrival_hour 0.0 -25.0 \n", - "coef_previous_tour_ends_this_departure_hour 0.0 -25.0 \n", - "coef_remaining_work_school_tours_to_be_schedule... 0.0 -25.0 \n", - "coef_roundtrip_auto_time_to_work 0.0 -25.0 \n", - "coef_school_plus_work_tours_by_student_lt_6_hours 0.0 -25.0 \n", - "coef_school_plus_work_tours_by_worker_lt_6_hours 0.0 -25.0 \n", - "coef_student_driver_duration 0.0 -25.0 \n", - "coef_subsequent_2plus_school_tours_duration 0.0 -25.0 \n", - "coef_subsequent_of_2plus_school_lt_6_hours 0.0 -25.0 \n", - "coef_subsequent_tour_must_start_after_previous_... 0.0 -25.0 \n", - "coef_univ_departure 0.0 -25.0 \n", - "coef_univ_duration 0.0 -25.0 \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.003049 -25.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.527100 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... 0.089750 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... -0.440000 -25.0 \n", + "coef_all_adults_ft_worker_duration 0.109300 -25.0 \n", + "coef_arrival_constants_am_peak -2.428718 -25.0 \n", + "coef_arrival_constants_early -2.428718 -25.0 \n", + "coef_arrival_constants_evening -0.870147 -25.0 \n", + "coef_arrival_constants_late -1.752000 -25.0 \n", + "coef_arrival_constants_midday_1 -1.237909 -25.0 \n", + "coef_arrival_constants_midday_2 -0.539769 -25.0 \n", + "coef_arrival_constants_pm_peak_1 0.000000 0.0 \n", + "coef_arrival_constants_pm_peak_2 -0.389169 -25.0 \n", + "coef_arrival_constants_pm_peak_3 -0.198120 -25.0 \n", + "coef_arrival_constants_pm_peak_4 -0.253625 -25.0 \n", + "coef_departure_constants_am_peak_1 -1.617644 -25.0 \n", + "coef_departure_constants_am_peak_2 0.000000 0.0 \n", + "coef_departure_constants_am_peak_3 -0.073827 -25.0 \n", + "coef_departure_constants_am_peak_4 -2.080571 -25.0 \n", + "coef_departure_constants_early -3.820662 -25.0 \n", + "coef_departure_constants_evening -5.230288 -25.0 \n", + "coef_departure_constants_late -11.886047 -25.0 \n", + "coef_departure_constants_midday_1 -2.985739 -25.0 \n", + "coef_departure_constants_midday_2 -3.628435 -25.0 \n", + "coef_departure_constants_pm_peak -3.102505 -25.0 \n", + "coef_duration_constants_0_to_2_hours -1.409956 -25.0 \n", + "coef_duration_constants_10_hours -0.904789 -25.0 \n", + "coef_duration_constants_11_hours -1.521163 -25.0 \n", + "coef_duration_constants_12_to_13_hours -2.418489 -25.0 \n", + "coef_duration_constants_14_to_18_hours -2.503137 -25.0 \n", + "coef_duration_constants_3_to_4_hours -0.745893 -25.0 \n", + "coef_duration_constants_5_to_6_hours -0.567637 -25.0 \n", + "coef_duration_constants_7_to_8_hours 0.000000 0.0 \n", + "coef_duration_constants_9_hours -0.650807 -25.0 \n", + "coef_first_of_2plus_school_lt_6_hours 1.487000 -25.0 \n", + "coef_first_of_2plus_school_tours_departure -0.300200 -25.0 \n", + "coef_first_of_2plus_school_tours_duration -0.159300 -25.0 \n", + "coef_ft_worker_departure 0.397100 -25.0 \n", + "coef_ft_worker_duration -0.190800 -25.0 \n", + "coef_hh_income_early_departure -0.883700 -25.0 \n", + "coef_hh_income_late_arrival -0.353300 -25.0 \n", + "coef_mode_choice_logsum 2.127000 -25.0 \n", + "coef_non_worker_departure 0.553900 -25.0 \n", + "coef_previous_tour_begins_this_arrival_hour -1.102000 -25.0 \n", + "coef_previous_tour_ends_this_departure_hour -0.599500 -25.0 \n", + "coef_remaining_work_school_tours_to_be_schedule... -16.670000 -25.0 \n", + "coef_roundtrip_auto_time_to_work 0.003195 -25.0 \n", + "coef_school_plus_work_tours_by_student_lt_6_hours 1.730000 -25.0 \n", + "coef_school_plus_work_tours_by_worker_lt_6_hours 2.142000 -25.0 \n", + "coef_student_driver_duration 0.034640 -25.0 \n", + "coef_subsequent_2plus_school_tours_duration -0.233800 -25.0 \n", + "coef_subsequent_of_2plus_school_lt_6_hours 2.142000 -25.0 \n", + "coef_subsequent_tour_must_start_after_previous_... -100.000000 -100.0 \n", + "coef_univ_departure 0.280000 -25.0 \n", + "coef_univ_duration -0.290700 -25.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_all_adults_ft_worker_duration 25.0 0 \n", - "coef_arrival_constants_am_peak 25.0 0 \n", - "coef_arrival_constants_early 25.0 0 \n", - "coef_arrival_constants_evening 25.0 0 \n", - "coef_arrival_constants_late 25.0 0 \n", - "coef_arrival_constants_midday_1 25.0 0 \n", - "coef_arrival_constants_midday_2 25.0 0 \n", - "coef_arrival_constants_pm_peak_1 25.0 1 \n", - "coef_arrival_constants_pm_peak_2 25.0 0 \n", - "coef_arrival_constants_pm_peak_3 25.0 0 \n", - "coef_arrival_constants_pm_peak_4 25.0 0 \n", - "coef_departure_constants_am_peak_1 25.0 0 \n", - "coef_departure_constants_am_peak_2 25.0 1 \n", - "coef_departure_constants_am_peak_3 25.0 0 \n", - "coef_departure_constants_am_peak_4 25.0 0 \n", - "coef_departure_constants_early 25.0 0 \n", - "coef_departure_constants_evening 25.0 0 \n", - "coef_departure_constants_late 25.0 0 \n", - "coef_departure_constants_midday_1 25.0 0 \n", - "coef_departure_constants_midday_2 25.0 0 \n", - "coef_departure_constants_pm_peak 25.0 0 \n", - "coef_duration_constants_0_to_2_hours 25.0 0 \n", - "coef_duration_constants_10_hours 25.0 0 \n", - "coef_duration_constants_11_hours 25.0 0 \n", - "coef_duration_constants_12_to_13_hours 25.0 0 \n", - "coef_duration_constants_14_to_18_hours 25.0 0 \n", - "coef_duration_constants_3_to_4_hours 25.0 0 \n", - "coef_duration_constants_5_to_6_hours 25.0 0 \n", - "coef_duration_constants_7_to_8_hours 25.0 1 \n", - "coef_duration_constants_9_hours 25.0 0 \n", - "coef_first_of_2plus_school_lt_6_hours 25.0 0 \n", - "coef_first_of_2plus_school_tours_departure 25.0 0 \n", - "coef_first_of_2plus_school_tours_duration 25.0 0 \n", - "coef_ft_worker_departure 25.0 0 \n", - "coef_ft_worker_duration 25.0 0 \n", - "coef_hh_income_early_departure 25.0 0 \n", - "coef_hh_income_late_arrival 25.0 0 \n", - "coef_mode_choice_logsum 25.0 0 \n", - "coef_non_worker_departure 25.0 0 \n", - "coef_previous_tour_begins_this_arrival_hour 25.0 0 \n", - "coef_previous_tour_ends_this_departure_hour 25.0 0 \n", - "coef_remaining_work_school_tours_to_be_schedule... 25.0 0 \n", - "coef_roundtrip_auto_time_to_work 25.0 0 \n", - "coef_school_plus_work_tours_by_student_lt_6_hours 25.0 0 \n", - "coef_school_plus_work_tours_by_worker_lt_6_hours 25.0 0 \n", - "coef_student_driver_duration 25.0 0 \n", - "coef_subsequent_2plus_school_tours_duration 25.0 0 \n", - "coef_subsequent_of_2plus_school_lt_6_hours 25.0 0 \n", - "coef_subsequent_tour_must_start_after_previous_... 25.0 1 \n", - "coef_univ_departure 25.0 0 \n", - "coef_univ_duration 25.0 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_all_adults_ft_worker_duration 25.0 0.0 \n", + "coef_arrival_constants_am_peak 25.0 0.0 \n", + "coef_arrival_constants_early 25.0 0.0 \n", + "coef_arrival_constants_evening 25.0 0.0 \n", + "coef_arrival_constants_late 25.0 0.0 \n", + "coef_arrival_constants_midday_1 25.0 0.0 \n", + "coef_arrival_constants_midday_2 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_1 0.0 0.0 \n", + "coef_arrival_constants_pm_peak_2 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_3 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_4 25.0 0.0 \n", + "coef_departure_constants_am_peak_1 25.0 0.0 \n", + "coef_departure_constants_am_peak_2 0.0 0.0 \n", + "coef_departure_constants_am_peak_3 25.0 0.0 \n", + "coef_departure_constants_am_peak_4 25.0 0.0 \n", + "coef_departure_constants_early 25.0 0.0 \n", + "coef_departure_constants_evening 25.0 0.0 \n", + "coef_departure_constants_late 25.0 0.0 \n", + "coef_departure_constants_midday_1 25.0 0.0 \n", + "coef_departure_constants_midday_2 25.0 0.0 \n", + "coef_departure_constants_pm_peak 25.0 0.0 \n", + "coef_duration_constants_0_to_2_hours 25.0 0.0 \n", + "coef_duration_constants_10_hours 25.0 0.0 \n", + "coef_duration_constants_11_hours 25.0 0.0 \n", + "coef_duration_constants_12_to_13_hours 25.0 0.0 \n", + "coef_duration_constants_14_to_18_hours 25.0 0.0 \n", + "coef_duration_constants_3_to_4_hours 25.0 0.0 \n", + "coef_duration_constants_5_to_6_hours 25.0 0.0 \n", + "coef_duration_constants_7_to_8_hours 0.0 0.0 \n", + "coef_duration_constants_9_hours 25.0 0.0 \n", + "coef_first_of_2plus_school_lt_6_hours 25.0 0.0 \n", + "coef_first_of_2plus_school_tours_departure 25.0 0.0 \n", + "coef_first_of_2plus_school_tours_duration 25.0 0.0 \n", + "coef_ft_worker_departure 25.0 0.0 \n", + "coef_ft_worker_duration 25.0 0.0 \n", + "coef_hh_income_early_departure 25.0 0.0 \n", + "coef_hh_income_late_arrival 25.0 0.0 \n", + "coef_mode_choice_logsum 25.0 0.0 \n", + "coef_non_worker_departure 25.0 0.0 \n", + "coef_previous_tour_begins_this_arrival_hour 25.0 0.0 \n", + "coef_previous_tour_ends_this_departure_hour 25.0 0.0 \n", + "coef_remaining_work_school_tours_to_be_schedule... 25.0 0.0 \n", + "coef_roundtrip_auto_time_to_work 25.0 0.0 \n", + "coef_school_plus_work_tours_by_student_lt_6_hours 25.0 0.0 \n", + "coef_school_plus_work_tours_by_worker_lt_6_hours 25.0 0.0 \n", + "coef_student_driver_duration 25.0 0.0 \n", + "coef_subsequent_2plus_school_tours_duration 25.0 0.0 \n", + "coef_subsequent_of_2plus_school_lt_6_hours 25.0 0.0 \n", + "coef_subsequent_tour_must_start_after_previous_... -100.0 0.0 \n", + "coef_univ_departure 25.0 0.0 \n", + "coef_univ_duration 25.0 0.0 \n", "\n", - " best \n", - "coef_adjacent_window_exists_after_this_arrival_... -0.414229 \n", - "coef_adjacent_window_exists_after_this_arrival_... -0.640186 \n", - "coef_adjacent_window_exists_before_this_departu... 1.656920 \n", - "coef_adjacent_window_exists_before_this_departu... 0.225722 \n", - "coef_all_adults_ft_worker_duration 0.052336 \n", - "coef_arrival_constants_am_peak -2.239162 \n", - "coef_arrival_constants_early -1.065980 \n", - "coef_arrival_constants_evening -1.033329 \n", - "coef_arrival_constants_late -1.315910 \n", - "coef_arrival_constants_midday_1 -1.302330 \n", - "coef_arrival_constants_midday_2 -0.554673 \n", - "coef_arrival_constants_pm_peak_1 0.000000 \n", - "coef_arrival_constants_pm_peak_2 -0.441387 \n", - "coef_arrival_constants_pm_peak_3 -0.281247 \n", - "coef_arrival_constants_pm_peak_4 -0.370368 \n", - "coef_departure_constants_am_peak_1 -1.882694 \n", - "coef_departure_constants_am_peak_2 0.000000 \n", - "coef_departure_constants_am_peak_3 -0.183985 \n", - "coef_departure_constants_am_peak_4 -2.016403 \n", - "coef_departure_constants_early -3.636770 \n", - "coef_departure_constants_evening -5.258795 \n", - "coef_departure_constants_late -21.447622 \n", - "coef_departure_constants_midday_1 -3.279864 \n", - "coef_departure_constants_midday_2 -3.750548 \n", - "coef_departure_constants_pm_peak -3.093167 \n", - "coef_duration_constants_0_to_2_hours -1.372110 \n", - "coef_duration_constants_10_hours -0.876448 \n", - "coef_duration_constants_11_hours -1.127264 \n", - "coef_duration_constants_12_to_13_hours -2.668346 \n", - "coef_duration_constants_14_to_18_hours -2.675974 \n", - "coef_duration_constants_3_to_4_hours -0.552200 \n", - "coef_duration_constants_5_to_6_hours -0.532627 \n", - "coef_duration_constants_7_to_8_hours 0.000000 \n", - "coef_duration_constants_9_hours -0.487609 \n", - "coef_first_of_2plus_school_lt_6_hours 0.169055 \n", - "coef_first_of_2plus_school_tours_departure -0.333830 \n", - "coef_first_of_2plus_school_tours_duration -0.042558 \n", - "coef_ft_worker_departure 0.397100 \n", - "coef_ft_worker_duration -0.190800 \n", - "coef_hh_income_early_departure -13.757852 \n", - "coef_hh_income_late_arrival 0.101726 \n", - "coef_mode_choice_logsum 0.056410 \n", - "coef_non_worker_departure 0.553900 \n", - "coef_previous_tour_begins_this_arrival_hour -10.370632 \n", - "coef_previous_tour_ends_this_departure_hour 0.298551 \n", - "coef_remaining_work_school_tours_to_be_schedule... -25.000000 \n", - "coef_roundtrip_auto_time_to_work 0.005137 \n", - "coef_school_plus_work_tours_by_student_lt_6_hours -2.483313 \n", - "coef_school_plus_work_tours_by_worker_lt_6_hours -2.071313 \n", - "coef_student_driver_duration -0.003958 \n", - "coef_subsequent_2plus_school_tours_duration -0.188299 \n", - "coef_subsequent_of_2plus_school_lt_6_hours 25.000000 \n", - "coef_subsequent_tour_must_start_after_previous_... -100.000000 \n", - "coef_univ_departure 0.234367 \n", - "coef_univ_duration -0.409132 " + " holdfast \n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_all_adults_ft_worker_duration 0 \n", + "coef_arrival_constants_am_peak 0 \n", + "coef_arrival_constants_early 0 \n", + "coef_arrival_constants_evening 0 \n", + "coef_arrival_constants_late 0 \n", + "coef_arrival_constants_midday_1 0 \n", + "coef_arrival_constants_midday_2 0 \n", + "coef_arrival_constants_pm_peak_1 1 \n", + "coef_arrival_constants_pm_peak_2 0 \n", + "coef_arrival_constants_pm_peak_3 0 \n", + "coef_arrival_constants_pm_peak_4 0 \n", + "coef_departure_constants_am_peak_1 0 \n", + "coef_departure_constants_am_peak_2 1 \n", + "coef_departure_constants_am_peak_3 0 \n", + "coef_departure_constants_am_peak_4 0 \n", + "coef_departure_constants_early 0 \n", + "coef_departure_constants_evening 0 \n", + "coef_departure_constants_late 0 \n", + "coef_departure_constants_midday_1 0 \n", + "coef_departure_constants_midday_2 0 \n", + "coef_departure_constants_pm_peak 0 \n", + "coef_duration_constants_0_to_2_hours 0 \n", + "coef_duration_constants_10_hours 0 \n", + "coef_duration_constants_11_hours 0 \n", + "coef_duration_constants_12_to_13_hours 0 \n", + "coef_duration_constants_14_to_18_hours 0 \n", + "coef_duration_constants_3_to_4_hours 0 \n", + "coef_duration_constants_5_to_6_hours 0 \n", + "coef_duration_constants_7_to_8_hours 1 \n", + "coef_duration_constants_9_hours 0 \n", + "coef_first_of_2plus_school_lt_6_hours 0 \n", + "coef_first_of_2plus_school_tours_departure 0 \n", + "coef_first_of_2plus_school_tours_duration 0 \n", + "coef_ft_worker_departure 0 \n", + "coef_ft_worker_duration 0 \n", + "coef_hh_income_early_departure 0 \n", + "coef_hh_income_late_arrival 0 \n", + "coef_mode_choice_logsum 0 \n", + "coef_non_worker_departure 0 \n", + "coef_previous_tour_begins_this_arrival_hour 0 \n", + "coef_previous_tour_ends_this_departure_hour 0 \n", + "coef_remaining_work_school_tours_to_be_schedule... 0 \n", + "coef_roundtrip_auto_time_to_work 0 \n", + "coef_school_plus_work_tours_by_student_lt_6_hours 0 \n", + "coef_school_plus_work_tours_by_worker_lt_6_hours 0 \n", + "coef_student_driver_duration 0 \n", + "coef_subsequent_2plus_school_tours_duration 0 \n", + "coef_subsequent_of_2plus_school_lt_6_hours 0 \n", + "coef_subsequent_tour_must_start_after_previous_... 1 \n", + "coef_univ_departure 0 \n", + "coef_univ_duration 0 " ] }, "metadata": {}, @@ -2907,10 +3061,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate()\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.3990405079720497e-24 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -2926,47 +3078,47 @@ " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -0.414229\n", + " 0.232285\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " -0.640186\n", + " -1.201676\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " 1.656920\n", + " -0.419250\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " 0.225722\n", + " -0.760747\n", " \n", " \n", " coef_all_adults_ft_worker_duration\n", - " 0.052336\n", + " 0.079713\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " -2.239162\n", + " -2.595385\n", " \n", " \n", " coef_arrival_constants_early\n", - " -1.065980\n", + " -2.446580\n", " \n", " \n", " coef_arrival_constants_evening\n", - " -1.033329\n", + " -0.707272\n", " \n", " \n", " coef_arrival_constants_late\n", - " -1.315910\n", + " -1.639520\n", " \n", " \n", " coef_arrival_constants_midday_1\n", - " -1.302330\n", + " -1.267988\n", " \n", " \n", " coef_arrival_constants_midday_2\n", - " -0.554673\n", + " -0.523484\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", @@ -2974,19 +3126,19 @@ " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " -0.441387\n", + " -0.360268\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", - " -0.281247\n", + " -0.096426\n", " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " -0.370368\n", + " -0.127905\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -1.882694\n", + " -1.606835\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", @@ -2994,63 +3146,63 @@ " \n", " \n", " coef_departure_constants_am_peak_3\n", - " -0.183985\n", + " -0.100582\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " -2.016403\n", + " -2.142432\n", " \n", " \n", " coef_departure_constants_early\n", - " -3.636770\n", + " -3.850945\n", " \n", " \n", " coef_departure_constants_evening\n", - " -5.258795\n", + " -5.546826\n", " \n", " \n", " coef_departure_constants_late\n", - " -21.447622\n", + " -10.890722\n", " \n", " \n", " coef_departure_constants_midday_1\n", - " -3.279864\n", + " -3.124481\n", " \n", " \n", " coef_departure_constants_midday_2\n", - " -3.750548\n", + " -3.861525\n", " \n", " \n", " coef_departure_constants_pm_peak\n", - " -3.093167\n", + " -3.281532\n", " \n", " \n", " coef_duration_constants_0_to_2_hours\n", - " -1.372110\n", + " -1.318085\n", " \n", " \n", " coef_duration_constants_10_hours\n", - " -0.876448\n", + " -0.914359\n", " \n", " \n", " coef_duration_constants_11_hours\n", - " -1.127264\n", + " -1.643692\n", " \n", " \n", " coef_duration_constants_12_to_13_hours\n", - " -2.668346\n", + " -2.528269\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -2.675974\n", + " -2.541672\n", " \n", " \n", " coef_duration_constants_3_to_4_hours\n", - " -0.552200\n", + " -0.680239\n", " \n", " \n", " coef_duration_constants_5_to_6_hours\n", - " -0.532627\n", + " -0.551126\n", " \n", " \n", " coef_duration_constants_7_to_8_hours\n", @@ -3058,19 +3210,19 @@ " \n", " \n", " coef_duration_constants_9_hours\n", - " -0.487609\n", + " -0.664353\n", " \n", " \n", " coef_first_of_2plus_school_lt_6_hours\n", - " 0.169055\n", + " 1.768123\n", " \n", " \n", " coef_first_of_2plus_school_tours_departure\n", - " -0.333830\n", + " -0.277161\n", " \n", " \n", " coef_first_of_2plus_school_tours_duration\n", - " -0.042558\n", + " -0.077846\n", " \n", " \n", " coef_ft_worker_departure\n", @@ -3082,15 +3234,15 @@ " \n", " \n", " coef_hh_income_early_departure\n", - " -13.757852\n", + " -0.643531\n", " \n", " \n", " coef_hh_income_late_arrival\n", - " 0.101726\n", + " -0.123912\n", " \n", " \n", " coef_mode_choice_logsum\n", - " 0.056410\n", + " 1.403530\n", " \n", " \n", " coef_non_worker_departure\n", @@ -3098,54 +3250,54 @@ " \n", " \n", " coef_previous_tour_begins_this_arrival_hour\n", - " -10.370632\n", + " 1.748525\n", " \n", " \n", " coef_previous_tour_ends_this_departure_hour\n", - " 0.298551\n", + " -1.454921\n", " \n", " \n", " coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours\n", - " -25.000000\n", + " -16.666935\n", " \n", " \n", " coef_roundtrip_auto_time_to_work\n", - " 0.005137\n", + " 0.002946\n", " \n", " \n", " coef_school_plus_work_tours_by_student_lt_6_hours\n", - " -2.483313\n", + " 1.805060\n", " \n", " \n", " coef_school_plus_work_tours_by_worker_lt_6_hours\n", - " -2.071313\n", + " 2.217060\n", " \n", " \n", " coef_student_driver_duration\n", - " -0.003958\n", + " 0.021414\n", " \n", " \n", " coef_subsequent_2plus_school_tours_duration\n", - " -0.188299\n", + " -0.309377\n", " \n", " \n", " coef_subsequent_of_2plus_school_lt_6_hours\n", - " 25.000000\n", + " 1.522961\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_ends\n", - " -25.000000\n", + " -100.000000\n", " \n", " \n", " coef_univ_departure\n", - " 0.234367\n", + " 0.281763\n", " \n", " \n", " coef_univ_duration\n", - " -0.409132\n", + " -0.287541\n", " \n", " \n", - "loglike-2331.7420221780226d_loglike\n", + "
logloss3.8441737168559693d_logloss\n", " \n", " \n", " \n", @@ -3155,47 +3307,47 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3203,19 +3355,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3223,63 +3375,63 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3287,19 +3439,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3311,15 +3463,15 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3327,39 +3479,39 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3367,149 +3519,149 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction-1.569000e-041.678936e-05
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction2.469873e-05-4.551660e-05
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction-1.376329e-041.846962e-05
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-1.199309e-04-1.145647e-04
coef_all_adults_ft_worker_duration-2.382589e-04-8.371558e-05
coef_arrival_constants_am_peak1.105861e-042.196925e-04
coef_arrival_constants_early-7.161434e-05-5.719292e-06
coef_arrival_constants_evening-3.213301e-04-8.835678e-05
coef_arrival_constants_late-3.685726e-051.013090e-04
coef_arrival_constants_midday_12.405910e-047.833025e-05
coef_arrival_constants_midday_23.974766e-04-1.965074e-04
coef_arrival_constants_pm_peak_1
coef_arrival_constants_pm_peak_2-3.784033e-04-9.685367e-05
coef_arrival_constants_pm_peak_3-2.802883e-04-9.087295e-05
coef_arrival_constants_pm_peak_41.590313e-042.740145e-05
coef_departure_constants_am_peak_13.893384e-051.513237e-04
coef_departure_constants_am_peak_2
coef_departure_constants_am_peak_3-1.076955e-04-8.937296e-06
coef_departure_constants_am_peak_4-1.023082e-04-8.822207e-05
coef_departure_constants_early-1.964617e-056.575707e-05
coef_departure_constants_evening9.016158e-05-4.373200e-05
coef_departure_constants_late-6.465407e-077.294452e-05
coef_departure_constants_midday_1-1.539484e-05-7.045255e-05
coef_departure_constants_midday_27.340411e-059.783210e-05
coef_departure_constants_pm_peak-3.023675e-041.854008e-04
coef_duration_constants_0_to_2_hours-1.095813e-04-1.017742e-05
coef_duration_constants_10_hours-4.107214e-05-1.010013e-04
coef_duration_constants_11_hours1.853670e-043.540305e-05
coef_duration_constants_12_to_13_hours4.561763e-053.622247e-06
coef_duration_constants_14_to_18_hours1.362278e-041.457916e-04
coef_duration_constants_3_to_4_hours3.779389e-06-1.500782e-04
coef_duration_constants_5_to_6_hours1.389604e-042.054373e-04
coef_duration_constants_7_to_8_hours
coef_duration_constants_9_hours-4.131255e-041.173908e-04
coef_first_of_2plus_school_lt_6_hours2.433801e-056.625071e-05
coef_first_of_2plus_school_tours_departure-1.088730e-044.904242e-05
coef_first_of_2plus_school_tours_duration-1.351925e-045.848347e-05
coef_ft_worker_departure
coef_hh_income_early_departure-1.184539e-06-5.079513e-05
coef_hh_income_late_arrival8.674395e-05-7.624692e-05
coef_mode_choice_logsum7.755139e-04-2.256830e-05
coef_non_worker_departure
coef_previous_tour_begins_this_arrival_hour-7.619359e-07-8.260618e-06
coef_previous_tour_ends_this_departure_hour-2.114195e-05-4.098700e-05
coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours-1.863986e-023.894311e-07
coef_roundtrip_auto_time_to_work-2.056667e-035.433902e-05
coef_school_plus_work_tours_by_student_lt_6_hours2.636310e-068.778429e-06
coef_school_plus_work_tours_by_worker_lt_6_hours2.636310e-068.778429e-06
coef_student_driver_duration4.065449e-04-5.008566e-05
coef_subsequent_2plus_school_tours_duration6.239050e-055.111004e-05
coef_subsequent_of_2plus_school_lt_6_hours2.696315e-069.902870e-05
coef_subsequent_tour_must_start_after_previous_tour_ends
coef_univ_departure-2.420842e-03-7.874285e-05
coef_univ_duration7.174716e-04-1.251813e-05
nit77nfev141njev77status0message'Optimization terminated successfully'successTrueelapsed_time0:00:02.917567method'slsqp'n_cases609iteration_number77logloss3.8288046341182636" + "nit139nfev142njev139status0message'Optimization terminated successfully'successTrueelapsed_time0:00:41.638335method'slsqp'n_cases10352iteration_number139loglike-39483.50824582766" ], "text/plain": [ - "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -0.414229\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -0.640186\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 1.656920\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 0.225722\n", - "┃ coef_all_adults_ft_worker_duration 0.052336\n", - "┃ coef_arrival_constants_am_peak -2.239162\n", - "┃ coef_arrival_constants_early -1.065980\n", - "┃ coef_arrival_constants_evening -1.033329\n", - "┃ coef_arrival_constants_late -1.315910\n", - "┃ coef_arrival_constants_midday_1 -1.302330\n", - "┃ coef_arrival_constants_midday_2 -0.554673\n", - "┃ coef_arrival_constants_pm_peak_1 0.000000\n", - "┃ coef_arrival_constants_pm_peak_2 -0.441387\n", - "┃ coef_arrival_constants_pm_peak_3 -0.281247\n", - "┃ coef_arrival_constants_pm_peak_4 -0.370368\n", - "┃ coef_departure_constants_am_peak_1 -1.882694\n", - "┃ coef_departure_constants_am_peak_2 0.000000\n", - "┃ coef_departure_constants_am_peak_3 -0.183985\n", - "┃ coef_departure_constants_am_peak_4 -2.016403\n", - "┃ coef_departure_constants_early -3.636770\n", - "┃ coef_departure_constants_evening -5.258795\n", - "┃ coef_departure_constants_late -21.447622\n", - "┃ coef_departure_constants_midday_1 -3.279864\n", - "┃ coef_departure_constants_midday_2 -3.750548\n", - "┃ coef_departure_constants_pm_peak -3.093167\n", - "┃ coef_duration_constants_0_to_2_hours -1.372110\n", - "┃ coef_duration_constants_10_hours -0.876448\n", - "┃ coef_duration_constants_11_hours -1.127264\n", - "┃ coef_duration_constants_12_to_13_hours -2.668346\n", - "┃ coef_duration_constants_14_to_18_hours -2.675974\n", - "┃ coef_duration_constants_3_to_4_hours -0.552200\n", - "┃ coef_duration_constants_5_to_6_hours -0.532627\n", - "┃ coef_duration_constants_7_to_8_hours 0.000000\n", - "┃ coef_duration_constants_9_hours -0.487609\n", - "┃ coef_first_of_2plus_school_lt_6_hours 0.169055\n", - "┃ coef_first_of_2plus_school_tours_departure -0.333830\n", - "┃ coef_first_of_2plus_school_tours_duration -0.042558\n", - "┃ coef_ft_worker_departure 0.397100\n", - "┃ coef_ft_worker_duration -0.190800\n", - "┃ coef_hh_income_early_departure -13.757852\n", - "┃ coef_hh_income_late_arrival 0.101726\n", - "┃ coef_mode_choice_logsum 0.056410\n", - "┃ coef_non_worker_departure 0.553900\n", - "┃ coef_previous_tour_begins_this_arrival_hour -10.370632\n", - "┃ coef_previous_tour_ends_this_departure_hour 0.298551\n", - "┃ coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours -25.000000\n", - "┃ coef_roundtrip_auto_time_to_work 0.005137\n", - "┃ coef_school_plus_work_tours_by_student_lt_6_hours -2.483313\n", - "┃ coef_school_plus_work_tours_by_worker_lt_6_hours -2.071313\n", - "┃ coef_student_driver_duration -0.003958\n", - "┃ coef_subsequent_2plus_school_tours_duration -0.188299\n", - "┃ coef_subsequent_of_2plus_school_lt_6_hours 25.000000\n", - "┃ coef_subsequent_tour_must_start_after_previous_tour_ends -25.000000\n", - "┃ coef_univ_departure 0.234367\n", - "┃ coef_univ_duration -0.409132\n", + "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.232285\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -1.201676\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -0.419250\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -0.760747\n", + "┃ coef_all_adults_ft_worker_duration 0.079713\n", + "┃ coef_arrival_constants_am_peak -2.595385\n", + "┃ coef_arrival_constants_early -2.446580\n", + "┃ coef_arrival_constants_evening -0.707272\n", + "┃ coef_arrival_constants_late -1.639520\n", + "┃ coef_arrival_constants_midday_1 -1.267988\n", + "┃ coef_arrival_constants_midday_2 -0.523484\n", + "┃ coef_arrival_constants_pm_peak_1 0.000000\n", + "┃ coef_arrival_constants_pm_peak_2 -0.360268\n", + "┃ coef_arrival_constants_pm_peak_3 -0.096426\n", + "┃ coef_arrival_constants_pm_peak_4 -0.127905\n", + "┃ coef_departure_constants_am_peak_1 -1.606835\n", + "┃ coef_departure_constants_am_peak_2 0.000000\n", + "┃ coef_departure_constants_am_peak_3 -0.100582\n", + "┃ coef_departure_constants_am_peak_4 -2.142432\n", + "┃ coef_departure_constants_early -3.850945\n", + "┃ coef_departure_constants_evening -5.546826\n", + "┃ coef_departure_constants_late -10.890722\n", + "┃ coef_departure_constants_midday_1 -3.124481\n", + "┃ coef_departure_constants_midday_2 -3.861525\n", + "┃ coef_departure_constants_pm_peak -3.281532\n", + "┃ coef_duration_constants_0_to_2_hours -1.318085\n", + "┃ coef_duration_constants_10_hours -0.914359\n", + "┃ coef_duration_constants_11_hours -1.643692\n", + "┃ coef_duration_constants_12_to_13_hours -2.528269\n", + "┃ coef_duration_constants_14_to_18_hours -2.541672\n", + "┃ coef_duration_constants_3_to_4_hours -0.680239\n", + "┃ coef_duration_constants_5_to_6_hours -0.551126\n", + "┃ coef_duration_constants_7_to_8_hours 0.000000\n", + "┃ coef_duration_constants_9_hours -0.664353\n", + "┃ coef_first_of_2plus_school_lt_6_hours 1.768123\n", + "┃ coef_first_of_2plus_school_tours_departure -0.277161\n", + "┃ coef_first_of_2plus_school_tours_duration -0.077846\n", + "┃ coef_ft_worker_departure 0.397100\n", + "┃ coef_ft_worker_duration -0.190800\n", + "┃ coef_hh_income_early_departure -0.643531\n", + "┃ coef_hh_income_late_arrival -0.123912\n", + "┃ coef_mode_choice_logsum 1.403530\n", + "┃ coef_non_worker_departure 0.553900\n", + "┃ coef_previous_tour_begins_this_arrival_hour 1.748525\n", + "┃ coef_previous_tour_ends_this_departure_hour -1.454921\n", + "┃ coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours -16.666935\n", + "┃ coef_roundtrip_auto_time_to_work 0.002946\n", + "┃ coef_school_plus_work_tours_by_student_lt_6_hours 1.805060\n", + "┃ coef_school_plus_work_tours_by_worker_lt_6_hours 2.217060\n", + "┃ coef_student_driver_duration 0.021414\n", + "┃ coef_subsequent_2plus_school_tours_duration -0.309377\n", + "┃ coef_subsequent_of_2plus_school_lt_6_hours 1.522961\n", + "┃ coef_subsequent_tour_must_start_after_previous_tour_ends -100.000000\n", + "┃ coef_univ_departure 0.281763\n", + "┃ coef_univ_duration -0.287541\n", "┃ dtype: float64\n", - "┣ loglike: -2331.7420221780226\n", - "┣ d_loglike: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -1.569000e-04\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 2.469873e-05\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -1.376329e-04\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -1.199309e-04\n", - "┃ coef_all_adults_ft_worker_duration -2.382589e-04\n", - "┃ coef_arrival_constants_am_peak 1.105861e-04\n", - "┃ coef_arrival_constants_early -7.161434e-05\n", - "┃ coef_arrival_constants_evening -3.213301e-04\n", - "┃ coef_arrival_constants_late -3.685726e-05\n", - "┃ coef_arrival_constants_midday_1 2.405910e-04\n", - "┃ coef_arrival_constants_midday_2 3.974766e-04\n", + "┣ logloss: 3.8441737168559693\n", + "┣ d_logloss: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 1.678936e-05\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -4.551660e-05\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 1.846962e-05\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -1.145647e-04\n", + "┃ coef_all_adults_ft_worker_duration -8.371558e-05\n", + "┃ coef_arrival_constants_am_peak 2.196925e-04\n", + "┃ coef_arrival_constants_early -5.719292e-06\n", + "┃ coef_arrival_constants_evening -8.835678e-05\n", + "┃ coef_arrival_constants_late 1.013090e-04\n", + "┃ coef_arrival_constants_midday_1 7.833025e-05\n", + "┃ coef_arrival_constants_midday_2 -1.965074e-04\n", "┃ coef_arrival_constants_pm_peak_1 0.000000e+00\n", - "┃ coef_arrival_constants_pm_peak_2 -3.784033e-04\n", - "┃ coef_arrival_constants_pm_peak_3 -2.802883e-04\n", - "┃ coef_arrival_constants_pm_peak_4 1.590313e-04\n", - "┃ coef_departure_constants_am_peak_1 3.893384e-05\n", + "┃ coef_arrival_constants_pm_peak_2 -9.685367e-05\n", + "┃ coef_arrival_constants_pm_peak_3 -9.087295e-05\n", + "┃ coef_arrival_constants_pm_peak_4 2.740145e-05\n", + "┃ coef_departure_constants_am_peak_1 1.513237e-04\n", "┃ coef_departure_constants_am_peak_2 0.000000e+00\n", - "┃ coef_departure_constants_am_peak_3 -1.076955e-04\n", - "┃ coef_departure_constants_am_peak_4 -1.023082e-04\n", - "┃ coef_departure_constants_early -1.964617e-05\n", - "┃ coef_departure_constants_evening 9.016158e-05\n", - "┃ coef_departure_constants_late -6.465407e-07\n", - "┃ coef_departure_constants_midday_1 -1.539484e-05\n", - "┃ coef_departure_constants_midday_2 7.340411e-05\n", - "┃ coef_departure_constants_pm_peak -3.023675e-04\n", - "┃ coef_duration_constants_0_to_2_hours -1.095813e-04\n", - "┃ coef_duration_constants_10_hours -4.107214e-05\n", - "┃ coef_duration_constants_11_hours 1.853670e-04\n", - "┃ coef_duration_constants_12_to_13_hours 4.561763e-05\n", - "┃ coef_duration_constants_14_to_18_hours 1.362278e-04\n", - "┃ coef_duration_constants_3_to_4_hours 3.779389e-06\n", - "┃ coef_duration_constants_5_to_6_hours 1.389604e-04\n", + "┃ coef_departure_constants_am_peak_3 -8.937296e-06\n", + "┃ coef_departure_constants_am_peak_4 -8.822207e-05\n", + "┃ coef_departure_constants_early 6.575707e-05\n", + "┃ coef_departure_constants_evening -4.373200e-05\n", + "┃ coef_departure_constants_late 7.294452e-05\n", + "┃ coef_departure_constants_midday_1 -7.045255e-05\n", + "┃ coef_departure_constants_midday_2 9.783210e-05\n", + "┃ coef_departure_constants_pm_peak 1.854008e-04\n", + "┃ coef_duration_constants_0_to_2_hours -1.017742e-05\n", + "┃ coef_duration_constants_10_hours -1.010013e-04\n", + "┃ coef_duration_constants_11_hours 3.540305e-05\n", + "┃ coef_duration_constants_12_to_13_hours 3.622247e-06\n", + "┃ coef_duration_constants_14_to_18_hours 1.457916e-04\n", + "┃ coef_duration_constants_3_to_4_hours -1.500782e-04\n", + "┃ coef_duration_constants_5_to_6_hours 2.054373e-04\n", "┃ coef_duration_constants_7_to_8_hours 0.000000e+00\n", - "┃ coef_duration_constants_9_hours -4.131255e-04\n", - "┃ coef_first_of_2plus_school_lt_6_hours 2.433801e-05\n", - "┃ coef_first_of_2plus_school_tours_departure -1.088730e-04\n", - "┃ coef_first_of_2plus_school_tours_duration -1.351925e-04\n", + "┃ coef_duration_constants_9_hours 1.173908e-04\n", + "┃ coef_first_of_2plus_school_lt_6_hours 6.625071e-05\n", + "┃ coef_first_of_2plus_school_tours_departure 4.904242e-05\n", + "┃ coef_first_of_2plus_school_tours_duration 5.848347e-05\n", "┃ coef_ft_worker_departure 0.000000e+00\n", "┃ coef_ft_worker_duration 0.000000e+00\n", - "┃ coef_hh_income_early_departure -1.184539e-06\n", - "┃ coef_hh_income_late_arrival 8.674395e-05\n", - "┃ coef_mode_choice_logsum 7.755139e-04\n", + "┃ coef_hh_income_early_departure -5.079513e-05\n", + "┃ coef_hh_income_late_arrival -7.624692e-05\n", + "┃ coef_mode_choice_logsum -2.256830e-05\n", "┃ coef_non_worker_departure 0.000000e+00\n", - "┃ coef_previous_tour_begins_this_arrival_hour -7.619359e-07\n", - "┃ coef_previous_tour_ends_this_departure_hour -2.114195e-05\n", - "┃ coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours -1.863986e-02\n", - "┃ coef_roundtrip_auto_time_to_work -2.056667e-03\n", - "┃ coef_school_plus_work_tours_by_student_lt_6_hours 2.636310e-06\n", - "┃ coef_school_plus_work_tours_by_worker_lt_6_hours 2.636310e-06\n", - "┃ coef_student_driver_duration 4.065449e-04\n", - "┃ coef_subsequent_2plus_school_tours_duration 6.239050e-05\n", - "┃ coef_subsequent_of_2plus_school_lt_6_hours 2.696315e-06\n", + "┃ coef_previous_tour_begins_this_arrival_hour -8.260618e-06\n", + "┃ coef_previous_tour_ends_this_departure_hour -4.098700e-05\n", + "┃ coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours 3.894311e-07\n", + "┃ coef_roundtrip_auto_time_to_work 5.433902e-05\n", + "┃ coef_school_plus_work_tours_by_student_lt_6_hours 8.778429e-06\n", + "┃ coef_school_plus_work_tours_by_worker_lt_6_hours 8.778429e-06\n", + "┃ coef_student_driver_duration -5.008566e-05\n", + "┃ coef_subsequent_2plus_school_tours_duration 5.111004e-05\n", + "┃ coef_subsequent_of_2plus_school_lt_6_hours 9.902870e-05\n", "┃ coef_subsequent_tour_must_start_after_previous_tour_ends 0.000000e+00\n", - "┃ coef_univ_departure -2.420842e-03\n", - "┃ coef_univ_duration 7.174716e-04\n", + "┃ coef_univ_departure -7.874285e-05\n", + "┃ coef_univ_duration -1.251813e-05\n", "┃ dtype: float64\n", - "┣ nit: 77\n", - "┣ nfev: 141\n", - "┣ njev: 77\n", + "┣ nit: 139\n", + "┣ nfev: 142\n", + "┣ njev: 139\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=2, microseconds=917567)\n", + "┣ elapsed_time: datetime.timedelta(seconds=41, microseconds=638335)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 609\n", - "┣ iteration_number: 77\n", - "┣ logloss: 3.8288046341182636" + "┣ n_cases: 10352\n", + "┣ iteration_number: 139\n", + "┣ loglike: -39483.50824582766" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate()" + "model.estimate(maxiter=999)" ] }, { @@ -3521,579 +3673,550 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction-0.414 0.645-0.64 NA 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-0.640 0.383-1.67 NA 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 1.66 0.794 2.09* NA 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 0.226 0.377 0.60 NA 0.00
coef_all_adults_ft_worker_duration 0.0523 0.179 0.29 NA 0.00
coef_arrival_constants_am_peak-2.24 0.467-4.79*** NA 0.00
coef_arrival_constants_early-1.07 0.889-1.20 NA 0.00
coef_arrival_constants_evening-1.03 0.346-2.99** NA 0.00
coef_arrival_constants_late-1.32 0.510-2.58** NA 0.00
coef_arrival_constants_midday_1-1.30 0.285-4.57*** NA 0.00
coef_arrival_constants_midday_2-0.555 0.161-3.45*** NA 0.00
coef_arrival_constants_pm_peak_1 0.00 NA NA NA 0.00fixed value
coef_arrival_constants_pm_peak_2-0.441 0.167-2.64** NA 0.00
coef_arrival_constants_pm_peak_3-0.281 0.223-1.26 NA 0.00
coef_arrival_constants_pm_peak_4-0.370 0.274-1.35 NA 0.00
coef_departure_constants_am_peak_1-1.88 0.214-8.81*** NA 0.00
coef_departure_constants_am_peak_2 0.00 NA NA NA 0.00fixed value
coef_departure_constants_am_peak_3-0.184 0.114-1.61 NA 0.00
coef_departure_constants_am_peak_4-2.02 0.224-9.01*** NA 0.00
coef_departure_constants_early-3.64 0.600-6.07*** NA 0.00
coef_departure_constants_evening-5.26 0.830-6.34*** NA 0.00
coef_departure_constants_late-21.4 1.78e+03-0.01 NA 0.00
coef_departure_constants_midday_1-3.28 0.291-11.28*** NA 0.00
coef_departure_constants_midday_2-3.75 0.433-8.67*** NA 0.00
coef_departure_constants_pm_peak-3.09 0.579-5.34*** NA 0.00
coef_duration_constants_0_to_2_hours-1.37 0.393-3.49*** NA 0.00
coef_duration_constants_10_hours-0.876 0.271-3.24** NA 0.00
coef_duration_constants_11_hours-1.13 0.347-3.24** NA 0.00
coef_duration_constants_12_to_13_hours-2.67 0.530-5.04*** NA 0.00
coef_duration_constants_14_to_18_hours-2.68 0.614-4.36*** NA 0.00
coef_duration_constants_3_to_4_hours-0.552 0.277-2.00* NA 0.00
coef_duration_constants_5_to_6_hours-0.533 0.179-2.97** NA 0.00
coef_duration_constants_7_to_8_hours 0.00 NA NA NA 0.00fixed value
coef_duration_constants_9_hours-0.488 0.199-2.45* NA 0.00
coef_first_of_2plus_school_lt_6_hours 0.169 1.14 0.15 NA 0.00
coef_first_of_2plus_school_tours_departure-0.334 0.170-1.96* NA 0.00
coef_first_of_2plus_school_tours_duration-0.0426 0.214-0.20 NA 0.00
coef_ft_worker_departure 0.397 0.0143 27.72*** NA 0.00
coef_ft_worker_duration-0.191 0.00454-42.02*** NA 0.00
coef_hh_income_early_departure-13.8 934.-0.01 NA 0.00
coef_hh_income_late_arrival 0.102 0.762 0.13 NA 0.00
coef_mode_choice_logsum 0.0564 0.267 0.21 NA 0.00
coef_non_worker_departure 0.554 0.000124 BIG*** NA 0.00
coef_previous_tour_begins_this_arrival_hour-10.4 1.62e+03-0.01 NA 0.00
coef_previous_tour_ends_this_departure_hour 0.299 0.613 0.49 NA 0.00
coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours-25.0 NA NA[] 1.05 0.00coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours ≥ -25.0
coef_roundtrip_auto_time_to_work 0.00514 0.00516 1.00 NA 0.00
coef_school_plus_work_tours_by_student_lt_6_hours-2.48 314.-0.01 NA 0.00
coef_school_plus_work_tours_by_worker_lt_6_hours-2.07 314.-0.01 NA 0.00
coef_student_driver_duration-0.00396 0.0373-0.11 NA 0.00
coef_subsequent_2plus_school_tours_duration-0.188 0.149-1.27 NA 0.00
coef_subsequent_of_2plus_school_lt_6_hours 25.0 NA NA[***] 220.75 0.00coef_subsequent_of_2plus_school_lt_6_hours ≤ 25.0
coef_subsequent_tour_must_start_after_previous_tour_ends-100. NA NA NA 0.00fixed value
coef_univ_departure 0.234 0.0383 6.13*** NA 0.00
coef_univ_duration-0.409 0.0544-7.52*** NA 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.232 2.43 0.10 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-1.20 0.265-4.54*** 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction-0.419 0.705-0.59 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-0.761 0.722-1.05 0.00
coef_all_adults_ft_worker_duration 0.0797 0.0336 2.37* 0.00
coef_arrival_constants_am_peak-2.60 0.128-20.35*** 0.00
coef_arrival_constants_early-2.45 0.378-6.47*** 0.00
coef_arrival_constants_evening-0.707 0.0872-8.11*** 0.00
coef_arrival_constants_late-1.64 0.137-11.98*** 0.00
coef_arrival_constants_midday_1-1.27 0.0711-17.84*** 0.00
coef_arrival_constants_midday_2-0.523 0.0391-13.41*** 0.00
coef_arrival_constants_pm_peak_1 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_pm_peak_2-0.360 0.0391-9.21*** 0.00
coef_arrival_constants_pm_peak_3-0.0964 0.0543-1.78 0.00
coef_arrival_constants_pm_peak_4-0.128 0.0672-1.90 0.00
coef_departure_constants_am_peak_1-1.61 0.0470-34.22*** 0.00
coef_departure_constants_am_peak_2 0.00 0.00 NA 0.00fixed value
coef_departure_constants_am_peak_3-0.101 0.0275-3.66*** 0.00
coef_departure_constants_am_peak_4-2.14 0.0570-37.57*** 0.00
coef_departure_constants_early-3.85 0.173-22.28*** 0.00
coef_departure_constants_evening-5.55 0.220-25.26*** 0.00
coef_departure_constants_late-10.9 2.02-5.39*** 0.00
coef_departure_constants_midday_1-3.12 0.0717-43.56*** 0.00
coef_departure_constants_midday_2-3.86 0.112-34.58*** 0.00
coef_departure_constants_pm_peak-3.28 0.148-22.16*** 0.00
coef_duration_constants_0_to_2_hours-1.32 0.0986-13.37*** 0.00
coef_duration_constants_10_hours-0.914 0.0627-14.59*** 0.00
coef_duration_constants_11_hours-1.64 0.0876-18.76*** 0.00
coef_duration_constants_12_to_13_hours-2.53 0.112-22.51*** 0.00
coef_duration_constants_14_to_18_hours-2.54 0.143-17.80*** 0.00
coef_duration_constants_3_to_4_hours-0.680 0.0695-9.79*** 0.00
coef_duration_constants_5_to_6_hours-0.551 0.0434-12.71*** 0.00
coef_duration_constants_7_to_8_hours 0.00 0.00 NA 0.00fixed value
coef_duration_constants_9_hours-0.664 0.0471-14.10*** 0.00
coef_first_of_2plus_school_lt_6_hours 1.77 0.267 6.63*** 0.00
coef_first_of_2plus_school_tours_departure-0.277 0.0289-9.59*** 0.00
coef_first_of_2plus_school_tours_duration-0.0778 0.0892-0.87 0.00
coef_ft_worker_departure 0.397 NA NA 0.00
coef_ft_worker_duration-0.191 NA NA 0.00
coef_hh_income_early_departure-0.644 0.381-1.69 0.00
coef_hh_income_late_arrival-0.124 0.206-0.60 0.00
coef_mode_choice_logsum 1.40 0.125 11.19*** 0.00
coef_non_worker_departure 0.554 2.69e-13 BIG*** 0.00
coef_previous_tour_begins_this_arrival_hour 1.75 0.946 1.85 0.00
coef_previous_tour_ends_this_departure_hour-1.45 0.690-2.11* 0.00
coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours-16.7 18.9-0.88 0.00
coef_roundtrip_auto_time_to_work 0.00295 0.000437 6.74*** 0.00
coef_school_plus_work_tours_by_student_lt_6_hours 1.81 1.68 1.07 0.00
coef_school_plus_work_tours_by_worker_lt_6_hours 2.22 1.68 1.32 0.00
coef_student_driver_duration 0.0214 0.00880 2.43* 0.00
coef_subsequent_2plus_school_tours_duration-0.309 0.0368-8.41*** 0.00
coef_subsequent_of_2plus_school_lt_6_hours 1.52 0.493 3.09** 0.00
coef_subsequent_tour_must_start_after_previous_tour_ends-100. 0.00 NA 0.00fixed value
coef_univ_departure 0.282 0.0112 25.08*** 0.00
coef_univ_duration-0.288 0.0153-18.82*** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -4114,7 +4237,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -4135,20 +4258,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -4167,7 +4279,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -4206,7 +4318,7 @@ " \n", " 1\n", " coef_roundtrip_auto_time_to_work\n", - " 0.005137\n", + " 0.002946\n", " F\n", " \n", " \n", @@ -4230,25 +4342,25 @@ " \n", " 5\n", " coef_univ_departure\n", - " 0.234367\n", + " 0.281763\n", " F\n", " \n", " \n", " 6\n", " coef_univ_duration\n", - " -0.409132\n", + " -0.287541\n", " F\n", " \n", " \n", " 7\n", " coef_student_driver_duration\n", - " -0.003958\n", + " 0.021414\n", " F\n", " \n", " \n", " 8\n", " coef_all_adults_ft_worker_duration\n", - " 0.052336\n", + " 0.079713\n", " F\n", " \n", " \n", @@ -4260,115 +4372,115 @@ " \n", " 10\n", " coef_first_of_2plus_school_tours_departure\n", - " -0.333830\n", + " -0.277161\n", " F\n", " \n", " \n", " 11\n", " coef_first_of_2plus_school_tours_duration\n", - " -0.042558\n", + " -0.077846\n", " F\n", " \n", " \n", " 12\n", " coef_subsequent_2plus_school_tours_duration\n", - " -0.188299\n", + " -0.309377\n", " F\n", " \n", " \n", " 13\n", " coef_hh_income_early_departure\n", - " -13.757852\n", + " -0.643531\n", " F\n", " \n", " \n", " 14\n", " coef_hh_income_late_arrival\n", - " 0.101726\n", + " -0.123912\n", " F\n", " \n", " \n", " 15\n", " coef_first_of_2plus_school_lt_6_hours\n", - " 0.169055\n", + " 1.768123\n", " F\n", " \n", " \n", " 16\n", " coef_subsequent_of_2plus_school_lt_6_hours\n", - " 25.000000\n", + " 1.522961\n", " F\n", " \n", " \n", " 17\n", " coef_school_plus_work_tours_by_student_lt_6_hours\n", - " -2.483313\n", + " 1.805060\n", " F\n", " \n", " \n", " 18\n", " coef_school_plus_work_tours_by_worker_lt_6_hours\n", - " -2.071313\n", + " 2.217060\n", " F\n", " \n", " \n", " 19\n", " coef_mode_choice_logsum\n", - " 0.056410\n", + " 1.403530\n", " F\n", " \n", " \n", " 20\n", " coef_previous_tour_ends_this_departure_hour\n", - " 0.298551\n", + " -1.454921\n", " F\n", " \n", " \n", " 21\n", " coef_previous_tour_begins_this_arrival_hour\n", - " -10.370632\n", + " 1.748525\n", " F\n", " \n", " \n", " 22\n", " coef_adjacent_window_exists_before_this_depart...\n", - " 1.656920\n", + " -0.419250\n", " F\n", " \n", " \n", " 23\n", " coef_adjacent_window_exists_after_this_arrival...\n", - " -0.414229\n", + " 0.232285\n", " F\n", " \n", " \n", " 24\n", " coef_adjacent_window_exists_before_this_depart...\n", - " 0.225722\n", + " -0.760747\n", " F\n", " \n", " \n", " 25\n", " coef_adjacent_window_exists_after_this_arrival...\n", - " -0.640186\n", + " -1.201676\n", " F\n", " \n", " \n", " 26\n", " coef_remaining_work_school_tours_to_be_schedul...\n", - " -25.000000\n", + " -16.666935\n", " F\n", " \n", " \n", " 27\n", " coef_departure_constants_early\n", - " -3.636770\n", + " -3.850945\n", " F\n", " \n", " \n", " 28\n", " coef_departure_constants_am_peak_1\n", - " -1.882694\n", + " -1.606835\n", " F\n", " \n", " \n", @@ -4380,67 +4492,67 @@ " \n", " 30\n", " coef_departure_constants_am_peak_3\n", - " -0.183985\n", + " -0.100582\n", " F\n", " \n", " \n", " 31\n", " coef_departure_constants_am_peak_4\n", - " -2.016403\n", + " -2.142432\n", " F\n", " \n", " \n", " 32\n", " coef_departure_constants_midday_1\n", - " -3.279864\n", + " -3.124481\n", " F\n", " \n", " \n", " 33\n", " coef_departure_constants_midday_2\n", - " -3.750548\n", + " -3.861525\n", " F\n", " \n", " \n", " 34\n", " coef_departure_constants_pm_peak\n", - " -3.093167\n", + " -3.281532\n", " F\n", " \n", " \n", " 35\n", " coef_departure_constants_evening\n", - " -5.258795\n", + " -5.546826\n", " F\n", " \n", " \n", " 36\n", " coef_departure_constants_late\n", - " -21.447622\n", + " -10.890722\n", " F\n", " \n", " \n", " 37\n", " coef_arrival_constants_early\n", - " -1.065980\n", + " -2.446580\n", " F\n", " \n", " \n", " 38\n", " coef_arrival_constants_am_peak\n", - " -2.239162\n", + " -2.595385\n", " F\n", " \n", " \n", " 39\n", " coef_arrival_constants_midday_1\n", - " -1.302330\n", + " -1.267988\n", " F\n", " \n", " \n", " 40\n", " coef_arrival_constants_midday_2\n", - " -0.554673\n", + " -0.523484\n", " F\n", " \n", " \n", @@ -4452,49 +4564,49 @@ " \n", " 42\n", " coef_arrival_constants_pm_peak_2\n", - " -0.441387\n", + " -0.360268\n", " F\n", " \n", " \n", " 43\n", " coef_arrival_constants_pm_peak_3\n", - " -0.281247\n", + " -0.096426\n", " F\n", " \n", " \n", " 44\n", " coef_arrival_constants_pm_peak_4\n", - " -0.370368\n", + " -0.127905\n", " F\n", " \n", " \n", " 45\n", " coef_arrival_constants_evening\n", - " -1.033329\n", + " -0.707272\n", " F\n", " \n", " \n", " 46\n", " coef_arrival_constants_late\n", - " -1.315910\n", + " -1.639520\n", " F\n", " \n", " \n", " 47\n", " coef_duration_constants_0_to_2_hours\n", - " -1.372110\n", + " -1.318085\n", " F\n", " \n", " \n", " 48\n", " coef_duration_constants_3_to_4_hours\n", - " -0.552200\n", + " -0.680239\n", " F\n", " \n", " \n", " 49\n", " coef_duration_constants_5_to_6_hours\n", - " -0.532627\n", + " -0.551126\n", " F\n", " \n", " \n", @@ -4506,31 +4618,31 @@ " \n", " 51\n", " coef_duration_constants_9_hours\n", - " -0.487609\n", + " -0.664353\n", " F\n", " \n", " \n", " 52\n", " coef_duration_constants_10_hours\n", - " -0.876448\n", + " -0.914359\n", " F\n", " \n", " \n", " 53\n", " coef_duration_constants_11_hours\n", - " -1.127264\n", + " -1.643692\n", " F\n", " \n", " \n", " 54\n", " coef_duration_constants_12_to_13_hours\n", - " -2.668346\n", + " -2.528269\n", " F\n", " \n", " \n", " 55\n", " coef_duration_constants_14_to_18_hours\n", - " -2.675974\n", + " -2.541672\n", " F\n", " \n", " \n", @@ -4540,64 +4652,64 @@ "text/plain": [ " coefficient_name value constrain\n", "0 coef_dummy 1.000000 T\n", - "1 coef_roundtrip_auto_time_to_work 0.005137 F\n", + "1 coef_roundtrip_auto_time_to_work 0.002946 F\n", "2 coef_ft_worker_departure 0.397100 F\n", "3 coef_ft_worker_duration -0.190800 F\n", "4 coef_non_worker_departure 0.553900 F\n", - "5 coef_univ_departure 0.234367 F\n", - "6 coef_univ_duration -0.409132 F\n", - "7 coef_student_driver_duration -0.003958 F\n", - "8 coef_all_adults_ft_worker_duration 0.052336 F\n", + "5 coef_univ_departure 0.281763 F\n", + "6 coef_univ_duration -0.287541 F\n", + "7 coef_student_driver_duration 0.021414 F\n", + "8 coef_all_adults_ft_worker_duration 0.079713 F\n", "9 coef_subsequent_tour_must_start_after_previous... -100.000000 T\n", - "10 coef_first_of_2plus_school_tours_departure -0.333830 F\n", - "11 coef_first_of_2plus_school_tours_duration -0.042558 F\n", - "12 coef_subsequent_2plus_school_tours_duration -0.188299 F\n", - "13 coef_hh_income_early_departure -13.757852 F\n", - "14 coef_hh_income_late_arrival 0.101726 F\n", - "15 coef_first_of_2plus_school_lt_6_hours 0.169055 F\n", - "16 coef_subsequent_of_2plus_school_lt_6_hours 25.000000 F\n", - "17 coef_school_plus_work_tours_by_student_lt_6_hours -2.483313 F\n", - "18 coef_school_plus_work_tours_by_worker_lt_6_hours -2.071313 F\n", - "19 coef_mode_choice_logsum 0.056410 F\n", - "20 coef_previous_tour_ends_this_departure_hour 0.298551 F\n", - "21 coef_previous_tour_begins_this_arrival_hour -10.370632 F\n", - "22 coef_adjacent_window_exists_before_this_depart... 1.656920 F\n", - "23 coef_adjacent_window_exists_after_this_arrival... -0.414229 F\n", - "24 coef_adjacent_window_exists_before_this_depart... 0.225722 F\n", - "25 coef_adjacent_window_exists_after_this_arrival... -0.640186 F\n", - "26 coef_remaining_work_school_tours_to_be_schedul... -25.000000 F\n", - "27 coef_departure_constants_early -3.636770 F\n", - "28 coef_departure_constants_am_peak_1 -1.882694 F\n", + "10 coef_first_of_2plus_school_tours_departure -0.277161 F\n", + "11 coef_first_of_2plus_school_tours_duration -0.077846 F\n", + "12 coef_subsequent_2plus_school_tours_duration -0.309377 F\n", + "13 coef_hh_income_early_departure -0.643531 F\n", + "14 coef_hh_income_late_arrival -0.123912 F\n", + "15 coef_first_of_2plus_school_lt_6_hours 1.768123 F\n", + "16 coef_subsequent_of_2plus_school_lt_6_hours 1.522961 F\n", + "17 coef_school_plus_work_tours_by_student_lt_6_hours 1.805060 F\n", + "18 coef_school_plus_work_tours_by_worker_lt_6_hours 2.217060 F\n", + "19 coef_mode_choice_logsum 1.403530 F\n", + "20 coef_previous_tour_ends_this_departure_hour -1.454921 F\n", + "21 coef_previous_tour_begins_this_arrival_hour 1.748525 F\n", + "22 coef_adjacent_window_exists_before_this_depart... -0.419250 F\n", + "23 coef_adjacent_window_exists_after_this_arrival... 0.232285 F\n", + "24 coef_adjacent_window_exists_before_this_depart... -0.760747 F\n", + "25 coef_adjacent_window_exists_after_this_arrival... -1.201676 F\n", + "26 coef_remaining_work_school_tours_to_be_schedul... -16.666935 F\n", + "27 coef_departure_constants_early -3.850945 F\n", + "28 coef_departure_constants_am_peak_1 -1.606835 F\n", "29 coef_departure_constants_am_peak_2 0.000000 T\n", - "30 coef_departure_constants_am_peak_3 -0.183985 F\n", - "31 coef_departure_constants_am_peak_4 -2.016403 F\n", - "32 coef_departure_constants_midday_1 -3.279864 F\n", - "33 coef_departure_constants_midday_2 -3.750548 F\n", - "34 coef_departure_constants_pm_peak -3.093167 F\n", - "35 coef_departure_constants_evening -5.258795 F\n", - "36 coef_departure_constants_late -21.447622 F\n", - "37 coef_arrival_constants_early -1.065980 F\n", - "38 coef_arrival_constants_am_peak -2.239162 F\n", - "39 coef_arrival_constants_midday_1 -1.302330 F\n", - "40 coef_arrival_constants_midday_2 -0.554673 F\n", + "30 coef_departure_constants_am_peak_3 -0.100582 F\n", + "31 coef_departure_constants_am_peak_4 -2.142432 F\n", + "32 coef_departure_constants_midday_1 -3.124481 F\n", + "33 coef_departure_constants_midday_2 -3.861525 F\n", + "34 coef_departure_constants_pm_peak -3.281532 F\n", + "35 coef_departure_constants_evening -5.546826 F\n", + "36 coef_departure_constants_late -10.890722 F\n", + "37 coef_arrival_constants_early -2.446580 F\n", + "38 coef_arrival_constants_am_peak -2.595385 F\n", + "39 coef_arrival_constants_midday_1 -1.267988 F\n", + "40 coef_arrival_constants_midday_2 -0.523484 F\n", "41 coef_arrival_constants_pm_peak_1 0.000000 T\n", - "42 coef_arrival_constants_pm_peak_2 -0.441387 F\n", - "43 coef_arrival_constants_pm_peak_3 -0.281247 F\n", - "44 coef_arrival_constants_pm_peak_4 -0.370368 F\n", - "45 coef_arrival_constants_evening -1.033329 F\n", - "46 coef_arrival_constants_late -1.315910 F\n", - "47 coef_duration_constants_0_to_2_hours -1.372110 F\n", - "48 coef_duration_constants_3_to_4_hours -0.552200 F\n", - "49 coef_duration_constants_5_to_6_hours -0.532627 F\n", + "42 coef_arrival_constants_pm_peak_2 -0.360268 F\n", + "43 coef_arrival_constants_pm_peak_3 -0.096426 F\n", + "44 coef_arrival_constants_pm_peak_4 -0.127905 F\n", + "45 coef_arrival_constants_evening -0.707272 F\n", + "46 coef_arrival_constants_late -1.639520 F\n", + "47 coef_duration_constants_0_to_2_hours -1.318085 F\n", + "48 coef_duration_constants_3_to_4_hours -0.680239 F\n", + "49 coef_duration_constants_5_to_6_hours -0.551126 F\n", "50 coef_duration_constants_7_to_8_hours 0.000000 T\n", - "51 coef_duration_constants_9_hours -0.487609 F\n", - "52 coef_duration_constants_10_hours -0.876448 F\n", - "53 coef_duration_constants_11_hours -1.127264 F\n", - "54 coef_duration_constants_12_to_13_hours -2.668346 F\n", - "55 coef_duration_constants_14_to_18_hours -2.675974 F" + "51 coef_duration_constants_9_hours -0.664353 F\n", + "52 coef_duration_constants_10_hours -0.914359 F\n", + "53 coef_duration_constants_11_hours -1.643692 F\n", + "54 coef_duration_constants_12_to_13_hours -2.528269 F\n", + "55 coef_duration_constants_14_to_18_hours -2.541672 F" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -4614,7 +4726,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4628,7 +4740,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/10_joint_tour_freq.ipynb b/activitysim/examples/example_estimation/notebooks/10_joint_tour_freq.ipynb index a8d306f95..4fd045c4d 100644 --- a/activitysim/examples/example_estimation/notebooks/10_joint_tour_freq.ipynb +++ b/activitysim/examples/example_estimation/notebooks/10_joint_tour_freq.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/joint_tour_frequency/joint_tour_frequency_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/joint_tour_frequency/joint_tour_frequency_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_frequency/joint_tour_frequency_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"joint_tour_frequency\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -766,7 +828,7 @@ " \n", " \n", " \n", - " 189748\n", + " 190236\n", " 0_tours\n", " 0_tours\n", " 1.0\n", @@ -778,20 +840,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " False\n", " False\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 6.041458\n", + " 2.996094\n", + " 0.000000\n", + " 0.000000\n", + " 5.661266\n", " 1\n", " \n", " \n", - " 189758\n", - " 1_Eat\n", + " 190592\n", + " 1_Disc\n", " 1_Eat\n", " 1.0\n", " 0.0\n", @@ -802,19 +864,19 @@ " 0.0\n", " 0.0\n", " ...\n", - " 2.0\n", + " 0.0\n", " 0.0\n", " False\n", " False\n", " 0\n", - " 2.303\n", - " 0.0\n", - " 0.000\n", - " 6.035642\n", + " 2.996094\n", + " 0.000000\n", + " 0.000000\n", + " 5.384032\n", " 4\n", " \n", " \n", - " 189833\n", + " 190998\n", " 0_tours\n", " 0_tours\n", " 1.0\n", @@ -826,21 +888,21 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " False\n", " False\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 5.601202\n", + " 2.564453\n", + " 0.000000\n", + " 0.000000\n", + " 4.529309\n", " 1\n", " \n", " \n", - " 190134\n", - " 0_tours\n", + " 191185\n", " 0_tours\n", + " 1_Shop\n", " 1.0\n", " 0.0\n", " 0.0\n", @@ -855,16 +917,16 @@ " False\n", " False\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 5.941369\n", - " 1\n", + " 2.996094\n", + " 0.000000\n", + " 0.000000\n", + " 4.015752\n", + " 2\n", " \n", " \n", - " 190153\n", - " 0_tours\n", + " 191276\n", " 0_tours\n", + " 1_Disc\n", " 1.0\n", " 0.0\n", " 0.0\n", @@ -879,11 +941,11 @@ " False\n", " False\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 5.876868\n", - " 1\n", + " 2.996094\n", + " 0.000000\n", + " 0.000000\n", + " 4.422027\n", + " 6\n", " \n", " \n", " ...\n", @@ -910,38 +972,38 @@ " ...\n", " \n", " \n", - " 2749929\n", + " 2759076\n", " 0_tours\n", " 0_tours\n", " 1.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", " 1.0\n", + " 2.0\n", " False\n", " True\n", " 0\n", - " 2.303\n", - " 0.0\n", - " 2.484\n", - " 3.937425\n", + " 2.996094\n", + " 1.946289\n", + " 2.564453\n", + " 6.481015\n", " 1\n", " \n", " \n", - " 2749970\n", + " 2759264\n", " 0_tours\n", " 0_tours\n", " 1.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -951,16 +1013,16 @@ " False\n", " True\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 5.523326\n", + " 2.996094\n", + " 0.000000\n", + " 0.000000\n", + " 6.343830\n", " 1\n", " \n", " \n", - " 2750003\n", - " 0_tours\n", + " 2759425\n", " 0_tours\n", + " 1_Disc\n", " 1.0\n", " 0.0\n", " 0.0\n", @@ -970,20 +1032,20 @@ " 0.0\n", " 0.0\n", " ...\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " False\n", " True\n", " 0\n", - " 2.080\n", - " 0.0\n", - " 0.000\n", - " 6.289115\n", - " 1\n", + " 2.996094\n", + " 0.000000\n", + " 2.996094\n", + " 4.507081\n", + " 6\n", " \n", " \n", - " 2758909\n", - " 0_tours\n", + " 2760422\n", + " 1_Shop\n", " 0_tours\n", " 1.0\n", " 0.0\n", @@ -999,14 +1061,14 @@ " False\n", " True\n", " 0\n", - " 2.484\n", - " 0.0\n", - " 0.000\n", - " 6.677761\n", + " 2.197266\n", + " 0.000000\n", + " 0.000000\n", + " 4.345421\n", " 1\n", " \n", " \n", - " 2759348\n", + " 2760425\n", " 0_tours\n", " 0_tours\n", " 1.0\n", @@ -1023,229 +1085,229 @@ " False\n", " True\n", " 0\n", - " 2.996\n", - " 0.0\n", - " 0.000\n", - " 5.760961\n", + " 2.080078\n", + " 0.000000\n", + " 0.000000\n", + " 3.586974\n", " 1\n", " \n", " \n", "\n", - "

1028 rows × 130 columns

\n", + "

13210 rows × 130 columns

\n", "" ], "text/plain": [ " model_choice override_choice \\\n", "household_id \n", - "189748 0_tours 0_tours \n", - "189758 1_Eat 1_Eat \n", - "189833 0_tours 0_tours \n", - "190134 0_tours 0_tours \n", - "190153 0_tours 0_tours \n", + "190236 0_tours 0_tours \n", + "190592 1_Disc 1_Eat \n", + "190998 0_tours 0_tours \n", + "191185 0_tours 1_Shop \n", + "191276 0_tours 1_Disc \n", "... ... ... \n", - "2749929 0_tours 0_tours \n", - "2749970 0_tours 0_tours \n", - "2750003 0_tours 0_tours \n", - "2758909 0_tours 0_tours \n", - "2759348 0_tours 0_tours \n", + "2759076 0_tours 0_tours \n", + "2759264 0_tours 0_tours \n", + "2759425 0_tours 1_Disc \n", + "2760422 1_Shop 0_tours \n", + "2760425 0_tours 0_tours \n", "\n", " util_alternative_specific_constants \\\n", "household_id \n", - "189748 1.0 \n", - "189758 1.0 \n", - "189833 1.0 \n", - "190134 1.0 \n", - "190153 1.0 \n", + "190236 1.0 \n", + "190592 1.0 \n", + "190998 1.0 \n", + "191185 1.0 \n", + "191276 1.0 \n", "... ... \n", - "2749929 1.0 \n", - "2749970 1.0 \n", - "2750003 1.0 \n", - "2758909 1.0 \n", - "2759348 1.0 \n", + "2759076 1.0 \n", + "2759264 1.0 \n", + "2759425 1.0 \n", + "2760422 1.0 \n", + "2760425 1.0 \n", "\n", " util_fullTimeHomeMaxThree_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 2.0 \n", + "2759264 1.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_partTimeHomeMaxThree_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 0.0 \n", + "2759264 0.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_nonWorkerHomeMaxThree_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 0.0 \n", + "2759264 0.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_retireeHomeMaxThree_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 1.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 1.0 \n", + "2759264 0.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_universityHomeMaxThree_univ_and_driving_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 0.0 \n", + "2759264 0.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_preDrivingHomeMaxThree_preschool_and_school_zero_tours \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.0 \n", + "190592 0.0 \n", + "190998 0.0 \n", + "191185 0.0 \n", + "191276 0.0 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 0.0 \n", + "2759264 0.0 \n", + "2759425 0.0 \n", + "2760422 0.0 \n", + "2760425 0.0 \n", "\n", " util_fullTimeNonMandMaxThree_shopping ... \\\n", "household_id ... \n", - "189748 0.0 ... \n", - "189758 0.0 ... \n", - "189833 0.0 ... \n", - "190134 0.0 ... \n", - "190153 0.0 ... \n", + "190236 0.0 ... \n", + "190592 0.0 ... \n", + "190998 0.0 ... \n", + "191185 0.0 ... \n", + "191276 0.0 ... \n", "... ... ... \n", - "2749929 0.0 ... \n", - "2749970 0.0 ... \n", - "2750003 0.0 ... \n", - "2758909 0.0 ... \n", - "2759348 0.0 ... \n", + "2759076 0.0 ... \n", + "2759264 0.0 ... \n", + "2759425 0.0 ... \n", + "2760422 0.0 ... \n", + "2760425 0.0 ... \n", "\n", " cdap_mand_univ_driving_max3 cdap_mand_nondriving_child_max3 \\\n", "household_id \n", - "189748 0.0 0.0 \n", - "189758 2.0 0.0 \n", - "189833 0.0 0.0 \n", - "190134 0.0 0.0 \n", - "190153 0.0 0.0 \n", + "190236 1.0 0.0 \n", + "190592 0.0 0.0 \n", + "190998 1.0 0.0 \n", + "191185 0.0 0.0 \n", + "191276 0.0 0.0 \n", "... ... ... \n", - "2749929 0.0 1.0 \n", - "2749970 0.0 0.0 \n", - "2750003 0.0 0.0 \n", - "2758909 0.0 0.0 \n", - "2759348 0.0 0.0 \n", + "2759076 1.0 2.0 \n", + "2759264 0.0 0.0 \n", + "2759425 1.0 0.0 \n", + "2760422 0.0 0.0 \n", + "2760425 0.0 0.0 \n", "\n", " income_between_50_and_100 income_greater_than_100 \\\n", "household_id \n", - "189748 False False \n", - "189758 False False \n", - "189833 False False \n", - "190134 False False \n", - "190153 False False \n", + "190236 False False \n", + "190592 False False \n", + "190998 False False \n", + "191185 False False \n", + "191276 False False \n", "... ... ... \n", - "2749929 False True \n", - "2749970 False True \n", - "2750003 False True \n", - "2758909 False True \n", - "2759348 False True \n", + "2759076 False True \n", + "2759264 False True \n", + "2759425 False True \n", + "2760422 False True \n", + "2760425 False True \n", "\n", " income_missing log_time_window_overlap_adult \\\n", "household_id \n", - "189748 0 2.996 \n", - "189758 0 2.303 \n", - "189833 0 2.996 \n", - "190134 0 2.996 \n", - "190153 0 2.996 \n", + "190236 0 2.996094 \n", + "190592 0 2.996094 \n", + "190998 0 2.564453 \n", + "191185 0 2.996094 \n", + "191276 0 2.996094 \n", "... ... ... \n", - "2749929 0 2.303 \n", - "2749970 0 2.996 \n", - "2750003 0 2.080 \n", - "2758909 0 2.484 \n", - "2759348 0 2.996 \n", + "2759076 0 2.996094 \n", + "2759264 0 2.996094 \n", + "2759425 0 2.996094 \n", + "2760422 0 2.197266 \n", + "2760425 0 2.080078 \n", "\n", " log_time_window_overlap_child \\\n", "household_id \n", - "189748 0.0 \n", - "189758 0.0 \n", - "189833 0.0 \n", - "190134 0.0 \n", - "190153 0.0 \n", + "190236 0.000000 \n", + "190592 0.000000 \n", + "190998 0.000000 \n", + "191185 0.000000 \n", + "191276 0.000000 \n", "... ... \n", - "2749929 0.0 \n", - "2749970 0.0 \n", - "2750003 0.0 \n", - "2758909 0.0 \n", - "2759348 0.0 \n", + "2759076 1.946289 \n", + "2759264 0.000000 \n", + "2759425 0.000000 \n", + "2760422 0.000000 \n", + "2760425 0.000000 \n", "\n", " log_time_window_overlap_adult_child \\\n", "household_id \n", - "189748 0.000 \n", - "189758 0.000 \n", - "189833 0.000 \n", - "190134 0.000 \n", - "190153 0.000 \n", + "190236 0.000000 \n", + "190592 0.000000 \n", + "190998 0.000000 \n", + "191185 0.000000 \n", + "191276 0.000000 \n", "... ... \n", - "2749929 2.484 \n", - "2749970 0.000 \n", - "2750003 0.000 \n", - "2758909 0.000 \n", - "2759348 0.000 \n", + "2759076 2.564453 \n", + "2759264 0.000000 \n", + "2759425 2.996094 \n", + "2760422 0.000000 \n", + "2760425 0.000000 \n", "\n", " non_motorized_retail_accessibility override_choice_code \n", "household_id \n", - "189748 6.041458 1 \n", - "189758 6.035642 4 \n", - "189833 5.601202 1 \n", - "190134 5.941369 1 \n", - "190153 5.876868 1 \n", + "190236 5.661266 1 \n", + "190592 5.384032 4 \n", + "190998 4.529309 1 \n", + "191185 4.015752 2 \n", + "191276 4.422027 6 \n", "... ... ... \n", - "2749929 3.937425 1 \n", - "2749970 5.523326 1 \n", - "2750003 6.289115 1 \n", - "2758909 6.677761 1 \n", - "2759348 5.760961 1 \n", + "2759076 6.481015 1 \n", + "2759264 6.343830 1 \n", + "2759425 4.507081 6 \n", + "2760422 4.345421 1 \n", + "2760425 3.586974 1 \n", "\n", - "[1028 rows x 130 columns]" + "[13210 rows x 130 columns]" ] }, "execution_count": 6, @@ -1271,17 +1333,10 @@ "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 067 [Optimization terminated successfully]

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Iteration 061 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1293,7 +1348,7 @@ { "data": { "text/html": [ - "

Best LL = -391.31509615209995

" + "

Best LL = -5583.026333343983

" ], "text/plain": [ "" @@ -1324,70 +1379,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_asc_0_tours\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_asc_1_Disc\n", - " -5.857843\n", + " -5.351766\n", + " -5.351766\n", " -5.4806\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.857843\n", " \n", " \n", " coef_asc_1_Eat\n", - " -5.140469\n", + " -6.074061\n", + " -6.074061\n", " -6.3757\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.140469\n", " \n", " \n", " coef_asc_1_Main\n", - " -4.843654\n", + " -5.816690\n", + " -5.816690\n", " -5.7389\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.843654\n", " \n", " \n", " coef_asc_1_Shop\n", - " -7.244895\n", + " -6.045190\n", + " -6.045190\n", " -6.0149\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -7.244895\n", " \n", " \n", " ...\n", @@ -1398,124 +1457,97 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_universityNonMandMaxThree_shopping\n", - " 1.134054\n", + " 0.857729\n", + " 0.857729\n", " 0.7648\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.134054\n", " \n", " \n", " coef_universityNonMandMaxThree_visiting\n", - " -18.048773\n", + " 0.282416\n", + " 0.282416\n", " 0.2809\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -18.048773\n", " \n", " \n", " coef_walkRetailAccessibility_eatout\n", - " -0.027363\n", + " 0.042572\n", + " 0.042572\n", " 0.0620\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.027363\n", " \n", " \n", " coef_zeroAutomobiles_disc\n", - " -0.539939\n", + " -0.953758\n", + " -0.953758\n", " -0.9090\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.539939\n", " \n", " \n", " coef_zeroAutomobiles_visiting\n", - " -18.311268\n", + " -0.900518\n", + " -0.900518\n", " -0.9800\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -18.311268\n", " \n", " \n", "\n", - "

76 rows × 8 columns

\n", + "

76 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue nullvalue \\\n", - "coef_asc_0_tours 0.000000 0.0000 0.0 \n", - "coef_asc_1_Disc -5.857843 -5.4806 0.0 \n", - "coef_asc_1_Eat -5.140469 -6.3757 0.0 \n", - "coef_asc_1_Main -4.843654 -5.7389 0.0 \n", - "coef_asc_1_Shop -7.244895 -6.0149 0.0 \n", - "... ... ... ... \n", - "coef_universityNonMandMaxThree_shopping 1.134054 0.7648 0.0 \n", - "coef_universityNonMandMaxThree_visiting -18.048773 0.2809 0.0 \n", - "coef_walkRetailAccessibility_eatout -0.027363 0.0620 0.0 \n", - "coef_zeroAutomobiles_disc -0.539939 -0.9090 0.0 \n", - "coef_zeroAutomobiles_visiting -18.311268 -0.9800 0.0 \n", + " value best initvalue \\\n", + "param_name \n", + "coef_asc_0_tours 0.000000 0.000000 0.0000 \n", + "coef_asc_1_Disc -5.351766 -5.351766 -5.4806 \n", + "coef_asc_1_Eat -6.074061 -6.074061 -6.3757 \n", + "coef_asc_1_Main -5.816690 -5.816690 -5.7389 \n", + "coef_asc_1_Shop -6.045190 -6.045190 -6.0149 \n", + "... ... ... ... \n", + "coef_universityNonMandMaxThree_shopping 0.857729 0.857729 0.7648 \n", + "coef_universityNonMandMaxThree_visiting 0.282416 0.282416 0.2809 \n", + "coef_walkRetailAccessibility_eatout 0.042572 0.042572 0.0620 \n", + "coef_zeroAutomobiles_disc -0.953758 -0.953758 -0.9090 \n", + "coef_zeroAutomobiles_visiting -0.900518 -0.900518 -0.9800 \n", "\n", - " minimum maximum holdfast note \\\n", - "coef_asc_0_tours NaN NaN 1 \n", - "coef_asc_1_Disc NaN NaN 0 \n", - "coef_asc_1_Eat NaN NaN 0 \n", - "coef_asc_1_Main NaN NaN 0 \n", - "coef_asc_1_Shop NaN NaN 0 \n", - "... ... ... ... ... \n", - "coef_universityNonMandMaxThree_shopping NaN NaN 0 \n", - "coef_universityNonMandMaxThree_visiting NaN NaN 0 \n", - "coef_walkRetailAccessibility_eatout NaN NaN 0 \n", - "coef_zeroAutomobiles_disc NaN NaN 0 \n", - "coef_zeroAutomobiles_visiting NaN NaN 0 \n", + " minimum maximum nullvalue holdfast \n", + "param_name \n", + "coef_asc_0_tours 0.0 0.0 0.0 1 \n", + "coef_asc_1_Disc -50.0 50.0 0.0 0 \n", + "coef_asc_1_Eat -50.0 50.0 0.0 0 \n", + "coef_asc_1_Main -50.0 50.0 0.0 0 \n", + "coef_asc_1_Shop -50.0 50.0 0.0 0 \n", + "... ... ... ... ... \n", + "coef_universityNonMandMaxThree_shopping -50.0 50.0 0.0 0 \n", + "coef_universityNonMandMaxThree_visiting -50.0 50.0 0.0 0 \n", + "coef_walkRetailAccessibility_eatout -50.0 50.0 0.0 0 \n", + "coef_zeroAutomobiles_disc -50.0 50.0 0.0 0 \n", + "coef_zeroAutomobiles_visiting -50.0 50.0 0.0 0 \n", "\n", - " best \n", - "coef_asc_0_tours 0.000000 \n", - "coef_asc_1_Disc -5.857843 \n", - "coef_asc_1_Eat -5.140469 \n", - "coef_asc_1_Main -4.843654 \n", - "coef_asc_1_Shop -7.244895 \n", - "... ... \n", - "coef_universityNonMandMaxThree_shopping 1.134054 \n", - "coef_universityNonMandMaxThree_visiting -18.048773 \n", - "coef_walkRetailAccessibility_eatout -0.027363 \n", - "coef_zeroAutomobiles_disc -0.539939 \n", - "coef_zeroAutomobiles_visiting -18.311268 \n", - "\n", - "[76 rows x 8 columns]" + "[76 rows x 7 columns]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='SLSQP')\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.4504151870310519e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" - ] - }, { "data": { "text/html": [ @@ -1529,310 +1561,310 @@ " \n", " \n", " coef_asc_0_tours\n", - " 4.128662e-14\n", + " 0.000000\n", " \n", " \n", " coef_asc_1_Disc\n", - " -5.857843e+00\n", + " -5.351766\n", " \n", " \n", " coef_asc_1_Eat\n", - " -5.140469e+00\n", + " -6.074061\n", " \n", " \n", " coef_asc_1_Main\n", - " -4.843654e+00\n", + " -5.816690\n", " \n", " \n", " coef_asc_1_Shop\n", - " -7.244895e+00\n", + " -6.045190\n", " \n", " \n", " coef_asc_1_Visit\n", - " -5.962149e+00\n", + " -5.839951\n", " \n", " \n", " coef_asc_2_tours\n", - " -1.537957e+01\n", + " -14.545006\n", " \n", " \n", " coef_drivingAgeStuMandMaxThree_disc\n", - " 2.642061e-01\n", + " 0.283573\n", " \n", " \n", " coef_drivingAgeStuMandMaxThree_maint\n", - " -2.049784e-01\n", + " -0.332304\n", " \n", " \n", " coef_fewerCarsThanDrivers_maint\n", - " -2.361602e-01\n", + " 0.768933\n", " \n", " \n", " coef_fewerCarsThanDrivers_shopping\n", - " 6.120417e-01\n", + " 0.173631\n", " \n", " \n", " coef_fullTimeHomeMaxThree_zero_tours\n", - " 2.001437e+00\n", + " 0.941096\n", " \n", " \n", " coef_fullTimeMandMaxThree_maint\n", - " -4.624882e-01\n", + " -0.397212\n", " \n", " \n", " coef_fullTimeMandMaxThree_shopping\n", - " 1.435394e-01\n", + " -0.402774\n", " \n", " \n", " coef_fullTimeNonMandMaxThree_disc\n", - " 2.181760e-01\n", + " -0.019740\n", " \n", " \n", " coef_fullTimeNonMandMaxThree_eatout\n", - " 3.257307e-01\n", + " 0.053619\n", " \n", " \n", " coef_fullTimeNonMandMaxThree_maint\n", - " 7.596262e-01\n", + " 0.114785\n", " \n", " \n", " coef_fullTimeNonMandMaxThree_shopping\n", - " -8.881290e-01\n", + " -0.253055\n", " \n", " \n", " coef_fullTimeNonMandMaxThree_visiting\n", - " 7.885926e-01\n", + " 0.750690\n", " \n", " \n", " coef_incomeBetween50And100_disc\n", - " 8.352921e-03\n", + " 0.132487\n", " \n", " \n", " coef_incomeBetween50And100_eatout\n", - " 1.031886e-01\n", + " 0.268954\n", " \n", " \n", " coef_incomeGreaterThan100_disc\n", - " 6.249345e-01\n", + " 0.366581\n", " \n", " \n", " coef_incomeGreaterThan100_eatout\n", - " 6.353587e-01\n", + " 0.493932\n", " \n", " \n", " coef_incomeMissing_dummy_always_zero_disc\n", - " 3.723000e-01\n", + " 0.372300\n", " \n", " \n", " coef_incomeMissing_dummy_always_zero_eatout\n", - " 2.780000e-01\n", + " 0.278000\n", " \n", " \n", " coef_logTimeWindowOverlapAdultChild_disc\n", - " 1.502560e-01\n", + " 0.303504\n", " \n", " \n", " coef_logTimeWindowOverlapAdultChild_eatout\n", - " -3.203806e-01\n", + " -0.094351\n", " \n", " \n", " coef_logTimeWindowOverlapAdultChild_maint\n", - " 2.695922e-01\n", + " 0.398958\n", " \n", " \n", " coef_logTimeWindowOverlapAdultChild_shopping\n", - " -4.153246e-01\n", + " 0.017970\n", " \n", " \n", " coef_logTimeWindowOverlapAdult_disc\n", - " 5.596579e-01\n", + " 0.411850\n", " \n", " \n", " coef_logTimeWindowOverlapAdult_eatout\n", - " 5.606143e-01\n", + " 0.467283\n", " \n", " \n", " coef_logTimeWindowOverlapAdult_maint\n", - " 4.376387e-01\n", + " 0.359818\n", " \n", " \n", " coef_logTimeWindowOverlapAdult_shopping\n", - " 8.640588e-01\n", + " 0.862228\n", " \n", " \n", " coef_logTimeWindowOverlapChild_disc\n", - " -1.693893e-01\n", + " 0.150068\n", " \n", " \n", " coef_logTimeWindowOverlapChild_maint\n", - " -1.037855e-02\n", + " 0.295107\n", " \n", " \n", " coef_logTimeWindowOverlapChild_shopping\n", - " 1.036654e+00\n", + " 0.255944\n", " \n", " \n", " coef_moreCarsThanWorkers_eatout\n", - " 7.948089e-02\n", + " 0.294865\n", " \n", " \n", " coef_moreCarsThanWorkers_shopping\n", - " -6.278022e-01\n", + " -0.551877\n", " \n", " \n", " coef_nonWorkerHomeMaxThree_zero_tours\n", - " -1.694121e-01\n", + " 0.379269\n", " \n", " \n", " coef_nonWorkerNonMandMaxThree_disc\n", - " -1.190124e-01\n", + " 0.120934\n", " \n", " \n", " coef_nonWorkerNonMandMaxThree_eatout\n", - " -3.544771e-01\n", + " 0.045074\n", " \n", " \n", " coef_nonWorkerNonMandMaxThree_maint\n", - " 3.725508e-01\n", + " 0.351215\n", " \n", " \n", " coef_nonWorkerNonMandMaxThree_shopping\n", - " 5.232632e-01\n", + " 0.422604\n", " \n", " \n", " coef_nonWorkerNonMandMaxThree_visiting\n", - " -3.598996e-01\n", + " 0.454085\n", " \n", " \n", " coef_partTimeHomeMaxThree_zero_tours\n", - " 1.700075e+00\n", + " 0.928683\n", " \n", " \n", " coef_partTimeNonMandMaxThree_disc\n", - " 2.264406e-01\n", + " 0.668232\n", " \n", " \n", " coef_partTimeNonMandMaxThree_eatout\n", - " -1.577062e+01\n", + " 0.381935\n", " \n", " \n", " coef_partTimeNonMandMaxThree_maint\n", - " 1.215592e-01\n", + " 0.071116\n", " \n", " \n", " coef_partTimeNonMandMaxThree_shopping\n", - " -1.914973e-01\n", + " -0.021127\n", " \n", " \n", " coef_partTimeNonMandMaxThree_visiting\n", - " 3.484080e-01\n", + " 0.417675\n", " \n", " \n", " coef_preDrivingAgeMandMaxThree_disc\n", - " 5.883044e-01\n", + " 0.133605\n", " \n", " \n", " coef_preDrivingAgeMandMaxThree_maint\n", - " 5.724992e-02\n", + " 0.065271\n", " \n", " \n", " coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours\n", - " -2.649396e-01\n", + " 0.086034\n", " \n", " \n", " coef_preDrivingNonMandMaxThree_disc\n", - " 4.697889e-01\n", + " 0.189119\n", " \n", " \n", " coef_preDrivingNonMandMaxThree_eatout\n", - " -1.367435e+01\n", + " 0.700510\n", " \n", " \n", " coef_preDrivingNonMandMaxThree_maint\n", - " -4.780032e-01\n", + " 0.163703\n", " \n", " \n", " coef_preDrivingNonMandMaxThree_shopping\n", - " 5.401680e-03\n", + " 0.448199\n", " \n", " \n", " coef_preDrivingNonMandMaxThree_visiting\n", - " -1.728326e+00\n", + " 0.241003\n", " \n", " \n", " coef_retireeHomeMaxThree_zero_tours\n", - " 3.072054e-01\n", + " 0.332620\n", " \n", " \n", " coef_retireeNonMandMaxThree_disc\n", - " 5.953927e-01\n", + " 0.596927\n", " \n", " \n", " coef_retireeNonMandMaxThree_eatout\n", - " 3.370647e-01\n", + " 0.444051\n", " \n", " \n", " coef_retireeNonMandMaxThree_maint\n", - " 9.306423e-01\n", + " 0.935537\n", " \n", " \n", " coef_retireeNonMandMaxThree_shopping\n", - " 9.523557e-01\n", + " 0.888533\n", " \n", " \n", " coef_retireeNonMandMaxThree_visiting\n", - " 1.743228e-01\n", + " 0.313616\n", " \n", " \n", " coef_timeWindowOverlapAdultChild_visiting\n", - " 1.404939e-01\n", + " 0.032122\n", " \n", " \n", " coef_timeWindowOverlapAdult_visiting\n", - " 1.103018e-01\n", + " 0.062728\n", " \n", " \n", " coef_timeWindowOverlapChild_visiting\n", - " -6.064464e-02\n", + " 0.037481\n", " \n", " \n", " coef_universityHomeMaxThree_univ_and_driving_zero_tours\n", - " -4.104066e-01\n", + " 0.115748\n", " \n", " \n", " coef_universityNonMandMaxThree_disc\n", - " -1.447281e-01\n", + " 0.478898\n", " \n", " \n", " coef_universityNonMandMaxThree_eatout\n", - " -1.408027e+01\n", + " 0.447854\n", " \n", " \n", " coef_universityNonMandMaxThree_maint\n", - " -4.377287e-01\n", + " -0.157965\n", " \n", " \n", " coef_universityNonMandMaxThree_shopping\n", - " 1.134054e+00\n", + " 0.857729\n", " \n", " \n", " coef_universityNonMandMaxThree_visiting\n", - " -1.804877e+01\n", + " 0.282416\n", " \n", " \n", " coef_walkRetailAccessibility_eatout\n", - " -2.736284e-02\n", + " 0.042572\n", " \n", " \n", " coef_zeroAutomobiles_disc\n", - " -5.399391e-01\n", + " -0.953758\n", " \n", " \n", " coef_zeroAutomobiles_visiting\n", - " -1.831127e+01\n", + " -0.900518\n", " \n", " \n", - "loglike-391.31509615209995d_loglike\n", + "
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coef_asc_0_tours0.000000e+000.000000
coef_asc_1_Disc1.523003e-040.000127
coef_asc_1_Eat6.759891e-050.000172
coef_asc_1_Main-2.935726e-04-0.000055
coef_asc_1_Shop-2.605190e-04-0.000097
coef_asc_1_Visit-1.539399e-04-0.000019
coef_asc_2_tours-7.190405e-050.000045
coef_drivingAgeStuMandMaxThree_disc-1.208006e-040.000034
coef_drivingAgeStuMandMaxThree_maint6.022683e-050.000009
coef_fewerCarsThanDrivers_maint-1.544212e-040.000025
coef_fewerCarsThanDrivers_shopping-5.384239e-050.000060
coef_fullTimeHomeMaxThree_zero_tours-2.514724e-040.000088
coef_fullTimeMandMaxThree_maint-2.064152e-04-0.000002
coef_fullTimeMandMaxThree_shopping-2.409727e-040.000014
coef_fullTimeNonMandMaxThree_disc1.867895e-040.000047
coef_fullTimeNonMandMaxThree_eatout-5.229114e-050.000034
coef_fullTimeNonMandMaxThree_maint-1.708359e-04-0.000036
coef_fullTimeNonMandMaxThree_shopping-8.986588e-050.000025
coef_fullTimeNonMandMaxThree_visiting-1.238448e-040.000019
coef_incomeBetween50And100_disc-3.214932e-040.000033
coef_incomeBetween50And100_eatout2.548977e-050.000004
coef_incomeGreaterThan100_disc1.527594e-050.000088
coef_incomeGreaterThan100_eatout-1.190833e-04-0.000003
coef_incomeMissing_dummy_always_zero_disc0.000000e+000.000000
coef_incomeMissing_dummy_always_zero_eatout0.000000e+000.000000
coef_logTimeWindowOverlapAdultChild_disc6.268423e-040.000322
coef_logTimeWindowOverlapAdultChild_eatout4.738068e-050.000270
coef_logTimeWindowOverlapAdultChild_maint-5.205643e-040.000069
coef_logTimeWindowOverlapAdultChild_shopping-7.016522e-040.000017
coef_logTimeWindowOverlapAdult_disc8.132405e-040.000280
coef_logTimeWindowOverlapAdult_eatout-5.191213e-050.000106
coef_logTimeWindowOverlapAdult_maint-7.074150e-04-0.000079
coef_logTimeWindowOverlapAdult_shopping-9.068285e-040.000016
coef_logTimeWindowOverlapChild_disc3.313056e-040.000050
coef_logTimeWindowOverlapChild_maint-3.411335e-04-0.000033
coef_logTimeWindowOverlapChild_shopping-6.088923e-040.000003
coef_moreCarsThanWorkers_eatout-1.693804e-040.000019
coef_moreCarsThanWorkers_shopping-7.535132e-05-0.000021
coef_nonWorkerHomeMaxThree_zero_tours1.546204e-04-0.000071
coef_nonWorkerNonMandMaxThree_disc2.251574e-04-0.000004
coef_nonWorkerNonMandMaxThree_eatout4.969366e-070.000084
coef_nonWorkerNonMandMaxThree_maint-8.922162e-050.000060
coef_nonWorkerNonMandMaxThree_shopping-2.254530e-04-0.000095
coef_nonWorkerNonMandMaxThree_visiting1.544757e-040.000032
coef_partTimeHomeMaxThree_zero_tours-5.144981e-050.000005
coef_partTimeNonMandMaxThree_disc1.814241e-040.000060
coef_partTimeNonMandMaxThree_eatout-3.175600e-07-0.000002
coef_partTimeNonMandMaxThree_maint-1.133846e-040.000030
coef_partTimeNonMandMaxThree_shopping1.063172e-040.000027
coef_partTimeNonMandMaxThree_visiting1.329104e-05-0.000037
coef_preDrivingAgeMandMaxThree_disc4.323394e-040.000164
coef_preDrivingAgeMandMaxThree_maint-1.660229e-040.000015
coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours2.715906e-040.000030
coef_preDrivingNonMandMaxThree_disc9.520881e-050.000037
coef_preDrivingNonMandMaxThree_eatout-7.286290e-070.000027
coef_preDrivingNonMandMaxThree_maint-8.707705e-05-0.000060
coef_preDrivingNonMandMaxThree_shopping-7.017908e-050.000009
coef_preDrivingNonMandMaxThree_visiting1.106056e-040.000014
coef_retireeHomeMaxThree_zero_tours-3.000796e-040.000050
coef_retireeNonMandMaxThree_disc3.955978e-050.000028
coef_retireeNonMandMaxThree_eatout-8.864118e-05-0.000012
coef_retireeNonMandMaxThree_maint1.123175e-05-0.000058
coef_retireeNonMandMaxThree_shopping-8.375532e-050.000009
coef_retireeNonMandMaxThree_visiting-7.291644e-050.000075
coef_timeWindowOverlapAdultChild_visiting1.533203e-03-0.000362
coef_timeWindowOverlapAdult_visiting-4.187359e-040.000189
coef_timeWindowOverlapChild_visiting1.535922e-03-0.000253
coef_universityHomeMaxThree_univ_and_driving_zero_tours-2.916835e-040.000140
coef_universityNonMandMaxThree_disc4.189163e-050.000095
coef_universityNonMandMaxThree_eatout-6.392369e-070.000004
coef_universityNonMandMaxThree_maint-2.743951e-05-0.000123
coef_universityNonMandMaxThree_shopping-1.669075e-040.000013
coef_universityNonMandMaxThree_visiting-3.279064e-08-0.000090
coef_walkRetailAccessibility_eatout-3.988777e-040.000218
coef_zeroAutomobiles_disc-5.720641e-05-0.000027
coef_zeroAutomobiles_visiting-5.437687e-080.000058
nit67nfev131njev67status0message'Optimization terminated successfully'successTrueelapsed_time0:00:03.730310method'SLSQP'n_cases1028iteration_number67logloss0.3806567083191634" + "nit61nfev63njev61status0message'Optimization terminated successfully'successTrueelapsed_time0:00:02.374665method'SLSQP'n_cases13210iteration_number61loglike-5583.026333343983" ], "text/plain": [ - "┣ x: coef_asc_0_tours 4.128662e-14\n", - "┃ coef_asc_1_Disc -5.857843e+00\n", - "┃ coef_asc_1_Eat -5.140469e+00\n", - "┃ coef_asc_1_Main -4.843654e+00\n", - "┃ coef_asc_1_Shop -7.244895e+00\n", - "┃ ... \n", - "┃ coef_universityNonMandMaxThree_shopping 1.134054e+00\n", - "┃ coef_universityNonMandMaxThree_visiting -1.804877e+01\n", - "┃ coef_walkRetailAccessibility_eatout -2.736284e-02\n", - "┃ coef_zeroAutomobiles_disc -5.399391e-01\n", - "┃ coef_zeroAutomobiles_visiting -1.831127e+01\n", + "┣ x: coef_asc_0_tours 0.000000\n", + "┃ coef_asc_1_Disc -5.351766\n", + "┃ coef_asc_1_Eat -6.074061\n", + "┃ coef_asc_1_Main -5.816690\n", + "┃ coef_asc_1_Shop -6.045190\n", + "┃ ... \n", + "┃ coef_universityNonMandMaxThree_shopping 0.857729\n", + "┃ coef_universityNonMandMaxThree_visiting 0.282416\n", + "┃ coef_walkRetailAccessibility_eatout 0.042572\n", + "┃ coef_zeroAutomobiles_disc -0.953758\n", + "┃ coef_zeroAutomobiles_visiting -0.900518\n", "┃ Length: 76, dtype: float64\n", - "┣ loglike: -391.31509615209995\n", - "┣ d_loglike: coef_asc_0_tours 0.000000e+00\n", - "┃ coef_asc_1_Disc 1.523003e-04\n", - "┃ coef_asc_1_Eat 6.759891e-05\n", - "┃ coef_asc_1_Main -2.935726e-04\n", - "┃ coef_asc_1_Shop -2.605190e-04\n", - "┃ ... \n", - "┃ coef_universityNonMandMaxThree_shopping -1.669075e-04\n", - "┃ coef_universityNonMandMaxThree_visiting -3.279064e-08\n", - "┃ coef_walkRetailAccessibility_eatout -3.988777e-04\n", - "┃ coef_zeroAutomobiles_disc -5.720641e-05\n", - "┃ coef_zeroAutomobiles_visiting -5.437687e-08\n", + "┣ logloss: 0.4226363613432236\n", + "┣ d_logloss: coef_asc_0_tours 0.000000\n", + "┃ coef_asc_1_Disc 0.000127\n", + "┃ coef_asc_1_Eat 0.000172\n", + "┃ coef_asc_1_Main -0.000055\n", + "┃ coef_asc_1_Shop -0.000097\n", + "┃ ... \n", + "┃ coef_universityNonMandMaxThree_shopping 0.000013\n", + "┃ coef_universityNonMandMaxThree_visiting -0.000090\n", + "┃ coef_walkRetailAccessibility_eatout 0.000218\n", + "┃ coef_zeroAutomobiles_disc -0.000027\n", + "┃ coef_zeroAutomobiles_visiting 0.000058\n", "┃ Length: 76, dtype: float64\n", - "┣ nit: 67\n", - "┣ nfev: 131\n", - "┣ njev: 67\n", + "┣ nit: 61\n", + "┣ nfev: 63\n", + "┣ njev: 61\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=3, microseconds=730310)\n", + "┣ elapsed_time: datetime.timedelta(seconds=2, microseconds=374665)\n", "┣ method: 'SLSQP'\n", - "┣ n_cases: 1028\n", - "┣ iteration_number: 67\n", - "┣ logloss: 0.3806567083191634" + "┣ n_cases: 13210\n", + "┣ iteration_number: 61\n", + "┣ loglike: -5583.026333343983" ] }, "execution_count": 7, @@ -2210,704 +2242,730 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Null Value Constrained
coef_asc_0_tours 0.00 NA NA 0.00fixed value
coef_asc_1_Disc-5.86 1.09-5.39*** 0.00
coef_asc_1_Eat-5.14 2.07-2.48* 0.00
coef_asc_1_Main-4.84 0.973-4.98*** 0.00
coef_asc_1_Shop-7.24 1.18-6.14*** 0.00
coef_asc_1_Visit-5.96 0.749-7.96*** 0.00
coef_asc_2_tours-15.4 2.26-6.81*** 0.00
coef_drivingAgeStuMandMaxThree_disc 0.264 0.406 0.65 0.00
coef_drivingAgeStuMandMaxThree_maint-0.205 0.491-0.42 0.00
coef_fewerCarsThanDrivers_maint-0.236 0.439-0.54 0.00
coef_fewerCarsThanDrivers_shopping 0.612 0.596 1.03 0.00
coef_fullTimeHomeMaxThree_zero_tours 2.00 0.828 2.42* 0.00
coef_fullTimeMandMaxThree_maint-0.462 0.313-1.48 0.00
coef_fullTimeMandMaxThree_shopping 0.144 0.288 0.50 0.00
coef_fullTimeNonMandMaxThree_disc 0.218 0.569 0.38 0.00
coef_fullTimeNonMandMaxThree_eatout 0.326 0.669 0.49 0.00
coef_fullTimeNonMandMaxThree_maint 0.760 0.430 1.77 0.00
coef_fullTimeNonMandMaxThree_shopping-0.888 1.03-0.86 0.00
coef_fullTimeNonMandMaxThree_visiting 0.789 0.626 1.26 0.00
coef_incomeBetween50And100_disc 0.00835 0.621 0.01 0.00
coef_incomeBetween50And100_eatout 0.103 0.741 0.14 0.00
coef_incomeGreaterThan100_disc 0.625 0.562 1.11 0.00
coef_incomeGreaterThan100_eatout 0.635 0.684 0.93 0.00
coef_incomeMissing_dummy_always_zero_disc 0.372 0.000320 BIG*** 0.00
coef_incomeMissing_dummy_always_zero_eatout 0.278 0.000386 720.45*** 0.00
coef_logTimeWindowOverlapAdultChild_disc 0.150 0.322 0.47 0.00
coef_logTimeWindowOverlapAdultChild_eatout-0.320 0.337-0.95 0.00
coef_logTimeWindowOverlapAdultChild_maint 0.270 0.294 0.92 0.00
coef_logTimeWindowOverlapAdultChild_shopping-0.415 0.493-0.84 0.00
coef_logTimeWindowOverlapAdult_disc 0.560 0.501 1.12 0.00
coef_logTimeWindowOverlapAdult_eatout 0.561 0.692 0.81 0.00
coef_logTimeWindowOverlapAdult_maint 0.438 0.430 1.02 0.00
coef_logTimeWindowOverlapAdult_shopping 0.864 0.553 1.56 0.00
coef_logTimeWindowOverlapChild_disc-0.169 0.433-0.39 0.00
coef_logTimeWindowOverlapChild_maint-0.0104 0.373-0.03 0.00
coef_logTimeWindowOverlapChild_shopping 1.04 0.543 1.91 0.00
coef_moreCarsThanWorkers_eatout 0.0795 0.805 0.10 0.00
coef_moreCarsThanWorkers_shopping-0.628 0.690-0.91 0.00
coef_nonWorkerHomeMaxThree_zero_tours-0.169 0.391-0.43 0.00
coef_nonWorkerNonMandMaxThree_disc-0.119 0.447-0.27 0.00
coef_nonWorkerNonMandMaxThree_eatout-0.354 0.700-0.51 0.00
coef_nonWorkerNonMandMaxThree_maint 0.373 0.380 0.98 0.00
coef_nonWorkerNonMandMaxThree_shopping 0.523 0.427 1.23 0.00
coef_nonWorkerNonMandMaxThree_visiting-0.360 0.587-0.61 0.00
coef_partTimeHomeMaxThree_zero_tours 1.70 1.16 1.47 0.00
coef_partTimeNonMandMaxThree_disc 0.226 0.652 0.35 0.00
coef_partTimeNonMandMaxThree_eatout-15.8 2.42e+03-0.01 0.00
coef_partTimeNonMandMaxThree_maint 0.122 0.660 0.18 0.00
coef_partTimeNonMandMaxThree_shopping-0.191 0.769-0.25 0.00
coef_partTimeNonMandMaxThree_visiting 0.348 0.880 0.40 0.00
coef_preDrivingAgeMandMaxThree_disc 0.588 0.583 1.01 0.00
coef_preDrivingAgeMandMaxThree_maint 0.0572 0.514 0.11 0.00
coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours-0.265 0.450-0.59 0.00
coef_preDrivingNonMandMaxThree_disc 0.470 0.853 0.55 0.00
coef_preDrivingNonMandMaxThree_eatout-13.7 1.56e+03-0.01 0.00
coef_preDrivingNonMandMaxThree_maint-0.478 0.924-0.52 0.00
coef_preDrivingNonMandMaxThree_shopping 0.00540 0.540 0.01 0.00
coef_preDrivingNonMandMaxThree_visiting-1.73 1.27-1.36 0.00
coef_retireeHomeMaxThree_zero_tours 0.307 0.771 0.40 0.00
coef_retireeNonMandMaxThree_disc 0.595 0.430 1.38 0.00
coef_retireeNonMandMaxThree_eatout 0.337 0.553 0.61 0.00
coef_retireeNonMandMaxThree_maint 0.931 0.376 2.47* 0.00
coef_retireeNonMandMaxThree_shopping 0.952 0.504 1.89 0.00
coef_retireeNonMandMaxThree_visiting 0.174 0.583 0.30 0.00
coef_timeWindowOverlapAdultChild_visiting 0.140 0.0547 2.57* 0.00
coef_timeWindowOverlapAdult_visiting 0.110 0.0692 1.59 0.00
coef_timeWindowOverlapChild_visiting-0.0606 0.0845-0.72 0.00
coef_universityHomeMaxThree_univ_and_driving_zero_tours-0.410 0.677-0.61 0.00
coef_universityNonMandMaxThree_disc-0.145 1.02-0.14 0.00
coef_universityNonMandMaxThree_eatout-14.1 1.67e+03-0.01 0.00
coef_universityNonMandMaxThree_maint-0.438 0.999-0.44 0.00
coef_universityNonMandMaxThree_shopping 1.13 0.556 2.04* 0.00
coef_universityNonMandMaxThree_visiting-18.0 7.88e+03-0.00 0.00
coef_walkRetailAccessibility_eatout-0.0274 0.237-0.12 0.00
coef_zeroAutomobiles_disc-0.540 0.771-0.70 0.00
coef_zeroAutomobiles_visiting-18.3 6.06e+03-0.00 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_asc_0_tours 0.00 0.00 NA 0.00fixed value
coef_asc_1_Disc-5.35 0.217-24.68*** 0.00
coef_asc_1_Eat-6.07 0.382-15.88*** 0.00
coef_asc_1_Main-5.82 0.255-22.80*** 0.00
coef_asc_1_Shop-6.05 0.301-20.07*** 0.00
coef_asc_1_Visit-5.84 0.198-29.56*** 0.00
coef_asc_2_tours-14.5 0.456-31.88*** 0.00
coef_drivingAgeStuMandMaxThree_disc 0.284 0.0868 3.27** 0.00
coef_drivingAgeStuMandMaxThree_maint-0.332 0.148-2.24* 0.00
coef_fewerCarsThanDrivers_maint 0.769 0.142 5.42*** 0.00
coef_fewerCarsThanDrivers_shopping 0.174 0.141 1.23 0.00
coef_fullTimeHomeMaxThree_zero_tours 0.941 0.164 5.75*** 0.00
coef_fullTimeMandMaxThree_maint-0.397 0.0912-4.36*** 0.00
coef_fullTimeMandMaxThree_shopping-0.403 0.0941-4.28*** 0.00
coef_fullTimeNonMandMaxThree_disc-0.0197 0.143-0.14 0.00
coef_fullTimeNonMandMaxThree_eatout 0.0536 0.215 0.25 0.00
coef_fullTimeNonMandMaxThree_maint 0.115 0.177 0.65 0.00
coef_fullTimeNonMandMaxThree_shopping-0.253 0.198-1.28 0.00
coef_fullTimeNonMandMaxThree_visiting 0.751 0.171 4.38*** 0.00
coef_incomeBetween50And100_disc 0.132 0.128 1.04 0.00
coef_incomeBetween50And100_eatout 0.269 0.199 1.35 0.00
coef_incomeGreaterThan100_disc 0.367 0.125 2.94** 0.00
coef_incomeGreaterThan100_eatout 0.494 0.197 2.51* 0.00
coef_incomeMissing_dummy_always_zero_disc 0.372 7.15e-16 BIG*** 0.00
coef_incomeMissing_dummy_always_zero_eatout 0.278 9.58e-16 BIG*** 0.00
coef_logTimeWindowOverlapAdultChild_disc 0.304 0.0645 4.70*** 0.00
coef_logTimeWindowOverlapAdultChild_eatout-0.0944 0.0788-1.20 0.00
coef_logTimeWindowOverlapAdultChild_maint 0.399 0.0847 4.71*** 0.00
coef_logTimeWindowOverlapAdultChild_shopping 0.0180 0.0764 0.24 0.00
coef_logTimeWindowOverlapAdult_disc 0.412 0.101 4.09*** 0.00
coef_logTimeWindowOverlapAdult_eatout 0.467 0.167 2.80** 0.00
coef_logTimeWindowOverlapAdult_maint 0.360 0.117 3.07** 0.00
coef_logTimeWindowOverlapAdult_shopping 0.862 0.139 6.18*** 0.00
coef_logTimeWindowOverlapChild_disc 0.150 0.0771 1.95 0.00
coef_logTimeWindowOverlapChild_maint 0.295 0.0952 3.10** 0.00
coef_logTimeWindowOverlapChild_shopping 0.256 0.0873 2.93** 0.00
coef_moreCarsThanWorkers_eatout 0.295 0.188 1.57 0.00
coef_moreCarsThanWorkers_shopping-0.552 0.165-3.35*** 0.00
coef_nonWorkerHomeMaxThree_zero_tours 0.379 0.110 3.46*** 0.00
coef_nonWorkerNonMandMaxThree_disc 0.121 0.0878 1.38 0.00
coef_nonWorkerNonMandMaxThree_eatout 0.0451 0.150 0.30 0.00
coef_nonWorkerNonMandMaxThree_maint 0.351 0.104 3.37*** 0.00
coef_nonWorkerNonMandMaxThree_shopping 0.423 0.110 3.85*** 0.00
coef_nonWorkerNonMandMaxThree_visiting 0.454 0.139 3.26** 0.00
coef_partTimeHomeMaxThree_zero_tours 0.929 0.250 3.71*** 0.00
coef_partTimeNonMandMaxThree_disc 0.668 0.123 5.42*** 0.00
coef_partTimeNonMandMaxThree_eatout 0.382 0.210 1.82 0.00
coef_partTimeNonMandMaxThree_maint 0.0711 0.193 0.37 0.00
coef_partTimeNonMandMaxThree_shopping-0.0211 0.183-0.12 0.00
coef_partTimeNonMandMaxThree_visiting 0.418 0.214 1.95 0.00
coef_preDrivingAgeMandMaxThree_disc 0.134 0.0986 1.36 0.00
coef_preDrivingAgeMandMaxThree_maint 0.0653 0.118 0.56 0.00
coef_preDrivingHomeMaxThree_preschool_and_school_zero_tours 0.0860 0.102 0.85 0.00
coef_preDrivingNonMandMaxThree_disc 0.189 0.160 1.19 0.00
coef_preDrivingNonMandMaxThree_eatout 0.701 0.195 3.60*** 0.00
coef_preDrivingNonMandMaxThree_maint 0.164 0.190 0.86 0.00
coef_preDrivingNonMandMaxThree_shopping 0.448 0.152 2.95** 0.00
coef_preDrivingNonMandMaxThree_visiting 0.241 0.196 1.23 0.00
coef_retireeHomeMaxThree_zero_tours 0.333 0.175 1.90 0.00
coef_retireeNonMandMaxThree_disc 0.597 0.107 5.56*** 0.00
coef_retireeNonMandMaxThree_eatout 0.444 0.160 2.77** 0.00
coef_retireeNonMandMaxThree_maint 0.936 0.123 7.59*** 0.00
coef_retireeNonMandMaxThree_shopping 0.889 0.123 7.22*** 0.00
coef_retireeNonMandMaxThree_visiting 0.314 0.190 1.65 0.00
coef_timeWindowOverlapAdultChild_visiting 0.0321 0.0152 2.12* 0.00
coef_timeWindowOverlapAdult_visiting 0.0627 0.0194 3.24** 0.00
coef_timeWindowOverlapChild_visiting 0.0375 0.0181 2.08* 0.00
coef_universityHomeMaxThree_univ_and_driving_zero_tours 0.116 0.210 0.55 0.00
coef_universityNonMandMaxThree_disc 0.479 0.144 3.33*** 0.00
coef_universityNonMandMaxThree_eatout 0.448 0.244 1.84 0.00
coef_universityNonMandMaxThree_maint-0.158 0.284-0.56 0.00
coef_universityNonMandMaxThree_shopping 0.858 0.157 5.46*** 0.00
coef_universityNonMandMaxThree_visiting 0.282 0.256 1.10 0.00
coef_walkRetailAccessibility_eatout 0.0426 0.0475 0.90 0.00
coef_zeroAutomobiles_disc-0.954 0.441-2.16* 0.00
coef_zeroAutomobiles_visiting-0.901 0.678-1.33 0.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -2954,18 +3012,7 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3023,25 +3070,25 @@ " \n", " 1\n", " coef_asc_1_Shop\n", - " -7.244895\n", + " -6.045190\n", " F\n", " \n", " \n", " 2\n", " coef_asc_1_Main\n", - " -4.843654\n", + " -5.816690\n", " F\n", " \n", " \n", " 3\n", " coef_asc_1_Eat\n", - " -5.140469\n", + " -6.074061\n", " F\n", " \n", " \n", " 4\n", " coef_asc_1_Visit\n", - " -5.962149\n", + " -5.839951\n", " F\n", " \n", " \n", @@ -3053,19 +3100,19 @@ " \n", " 71\n", " coef_logTimeWindowOverlapAdultChild_disc\n", - " 0.150256\n", + " 0.303504\n", " F\n", " \n", " \n", " 72\n", " coef_incomeBetween50And100_disc\n", - " 0.008353\n", + " 0.132487\n", " F\n", " \n", " \n", " 73\n", " coef_incomeGreaterThan100_disc\n", - " 0.624935\n", + " 0.366581\n", " F\n", " \n", " \n", @@ -3077,7 +3124,7 @@ " \n", " 75\n", " coef_zeroAutomobiles_disc\n", - " -0.539939\n", + " -0.953758\n", " F\n", " \n", " \n", @@ -3088,16 +3135,16 @@ "text/plain": [ " coefficient_name value constrain\n", "0 coef_asc_0_tours 0.000000 T\n", - "1 coef_asc_1_Shop -7.244895 F\n", - "2 coef_asc_1_Main -4.843654 F\n", - "3 coef_asc_1_Eat -5.140469 F\n", - "4 coef_asc_1_Visit -5.962149 F\n", + "1 coef_asc_1_Shop -6.045190 F\n", + "2 coef_asc_1_Main -5.816690 F\n", + "3 coef_asc_1_Eat -6.074061 F\n", + "4 coef_asc_1_Visit -5.839951 F\n", ".. ... ... ...\n", - "71 coef_logTimeWindowOverlapAdultChild_disc 0.150256 F\n", - "72 coef_incomeBetween50And100_disc 0.008353 F\n", - "73 coef_incomeGreaterThan100_disc 0.624935 F\n", + "71 coef_logTimeWindowOverlapAdultChild_disc 0.303504 F\n", + "72 coef_incomeBetween50And100_disc 0.132487 F\n", + "73 coef_incomeGreaterThan100_disc 0.366581 F\n", "74 coef_incomeMissing_dummy_always_zero_disc 0.372300 F\n", - "75 coef_zeroAutomobiles_disc -0.539939 F\n", + "75 coef_zeroAutomobiles_disc -0.953758 F\n", "\n", "[76 rows x 3 columns]" ] @@ -3119,7 +3166,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3133,7 +3180,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/11_joint_tour_composition.ipynb b/activitysim/examples/example_estimation/notebooks/11_joint_tour_composition.ipynb index 89c68c52f..99bd4cc7c 100644 --- a/activitysim/examples/example_estimation/notebooks/11_joint_tour_composition.ipynb +++ b/activitysim/examples/example_estimation/notebooks/11_joint_tour_composition.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/joint_tour_composition/joint_tour_composition_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/joint_tour_composition/joint_tour_composition_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_composition/joint_tour_composition_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"joint_tour_composition\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -798,8 +860,8 @@ " \n", " \n", " \n", - " 189758\n", - " 7785298\n", + " 190592\n", + " 7853686\n", " adults\n", " adults\n", " 1.0\n", @@ -807,23 +869,23 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " ...\n", - " 0.000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 201016\n", - " 8708454\n", + " 191185\n", + " 7902318\n", " adults\n", " adults\n", " 1.0\n", @@ -831,23 +893,23 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " ...\n", - " 0.000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 213291\n", - " 9715006\n", + " 191276\n", + " 7909776\n", " adults\n", " adults\n", " 1.0\n", @@ -855,14 +917,14 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " ...\n", - " 0.000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -870,8 +932,8 @@ " 1\n", " \n", " \n", - " 226902\n", - " 10831112\n", + " 192239\n", + " 7988742\n", " adults\n", " adults\n", " 1.0\n", @@ -879,43 +941,43 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 1.0\n", " ...\n", - " 0.000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", - " 2.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 337259\n", - " 20334787\n", - " mixed\n", - " mixed\n", + " 193643\n", + " 8103874\n", + " adults\n", + " adults\n", " 1.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 1.0\n", " ...\n", - " 2.197\n", - " 1.0\n", + " 0.000000\n", + " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 1.0\n", " 0.0\n", " 0.0\n", - " False\n", - " 3\n", + " 0.0\n", + " True\n", + " 1\n", " \n", " \n", " ...\n", @@ -942,8 +1004,8 @@ " ...\n", " \n", " \n", - " 2628704\n", - " 283676518\n", + " 2753390\n", + " 303771147\n", " mixed\n", " mixed\n", " 1.0\n", @@ -954,7 +1016,7 @@ " 0.0\n", " 0.0\n", " ...\n", - " 2.398\n", + " 2.708984\n", " 3.0\n", " 0.0\n", " 0.0\n", @@ -962,252 +1024,252 @@ " 2.0\n", " 0.0\n", " 0.0\n", - " False\n", + " True\n", " 3\n", " \n", " \n", - " 2678969\n", - " 295260168\n", - " adults\n", - " adults\n", + " 2754817\n", + " 304144212\n", + " mixed\n", + " mixed\n", " 1.0\n", " 0.0\n", " 0.0\n", " 3.0\n", - " 1.0\n", " 0.0\n", - " 3.0\n", + " 0.0\n", + " 2.0\n", " ...\n", - " 2.080\n", + " 2.996094\n", " 3.0\n", - " 1.0\n", " 0.0\n", - " 3.0\n", - " 1.0\n", + " 0.0\n", + " 2.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", " False\n", - " 1\n", + " 3\n", " \n", " \n", - " 2704338\n", - " 297646485\n", - " adults\n", - " adults\n", + " 2756049\n", + " 304463637\n", + " mixed\n", + " mixed\n", " 1.0\n", " 0.0\n", " 0.0\n", + " 3.0\n", " 0.0\n", - " 0.0\n", - " 0.0\n", + " 2.0\n", " 0.0\n", " ...\n", - " 0.000\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 2.484375\n", + " 3.0\n", " 0.0\n", + " 2.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " True\n", - " 1\n", + " 3\n", " \n", " \n", - " 2718585\n", - " 298814741\n", - " adults\n", - " adults\n", + " 2758936\n", + " 305125582\n", + " children\n", + " mixed\n", " 1.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 2.0\n", " 1.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 0.000\n", - " 0.0\n", + " 2.564453\n", + " 2.0\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 3.0\n", " 0.0\n", " False\n", - " 1\n", + " 3\n", " \n", " \n", - " 2744529\n", - " 301810980\n", - " adults\n", - " adults\n", + " 2759425\n", + " 305246245\n", + " mixed\n", + " mixed\n", " 1.0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 2.0\n", - " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " ...\n", - " 0.000\n", + " 2.996094\n", + " 1.0\n", " 2.0\n", + " 1.0\n", " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " False\n", - " 1\n", + " 3\n", " \n", " \n", "\n", - "

91 rows × 87 columns

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1277 rows × 87 columns

\n", "" ], "text/plain": [ " tour_id model_choice override_choice util_asc \\\n", "household_id \n", - "189758 7785298 adults adults 1.0 \n", - "201016 8708454 adults adults 1.0 \n", - "213291 9715006 adults adults 1.0 \n", - "226902 10831112 adults adults 1.0 \n", - "337259 20334787 mixed mixed 1.0 \n", + "190592 7853686 adults adults 1.0 \n", + "191185 7902318 adults adults 1.0 \n", + "191276 7909776 adults adults 1.0 \n", + "192239 7988742 adults adults 1.0 \n", + "193643 8103874 adults adults 1.0 \n", "... ... ... ... ... \n", - "2628704 283676518 mixed mixed 1.0 \n", - "2678969 295260168 adults adults 1.0 \n", - "2704338 297646485 adults adults 1.0 \n", - "2718585 298814741 adults adults 1.0 \n", - "2744529 301810980 adults adults 1.0 \n", + "2753390 303771147 mixed mixed 1.0 \n", + "2754817 304144212 mixed mixed 1.0 \n", + "2756049 304463637 mixed mixed 1.0 \n", + "2758936 305125582 children mixed 1.0 \n", + "2759425 305246245 mixed mixed 1.0 \n", "\n", " util_tour_purpose_is_eating_out \\\n", "household_id \n", - 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"189758 0.0 2.0 0.0 \n", - "201016 0.0 2.0 0.0 \n", - "213291 0.0 2.0 0.0 \n", - "226902 0.0 2.0 0.0 \n", - "337259 0.0 0.0 1.0 \n", + "190592 0.0 0.0 2.0 \n", + "191185 0.0 0.0 2.0 \n", + "191276 0.0 0.0 2.0 \n", + "192239 0.0 0.0 1.0 \n", + "193643 0.0 0.0 1.0 \n", "... ... ... ... \n", - "2628704 0.0 0.0 0.0 \n", - "2678969 1.0 0.0 3.0 \n", - "2704338 0.0 0.0 0.0 \n", - "2718585 1.0 0.0 0.0 \n", - "2744529 0.0 0.0 0.0 \n", + "2753390 0.0 0.0 0.0 \n", + "2754817 0.0 0.0 2.0 \n", + "2756049 0.0 2.0 0.0 \n", + "2758936 1.0 0.0 0.0 \n", + "2759425 2.0 1.0 0.0 \n", "\n", " num_preschool_max3 num_school_max3 num_driving_max3 \\\n", "household_id \n", - "189758 0.0 0.0 0.0 \n", - "201016 0.0 0.0 0.0 \n", - "213291 0.0 0.0 0.0 \n", - "226902 0.0 0.0 0.0 \n", - "337259 1.0 0.0 0.0 \n", + "190592 0.0 0.0 0.0 \n", + "191185 0.0 0.0 0.0 \n", + "191276 0.0 0.0 0.0 \n", + "192239 0.0 0.0 0.0 \n", + "193643 0.0 0.0 0.0 \n", "... ... ... ... \n", - "2628704 2.0 0.0 0.0 \n", - "2678969 1.0 0.0 0.0 \n", - 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"req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 033 [Optimization terminated successfully]

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Iteration 095 [Optimization terminated successfully]

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Best LL = -9.786597596036862e-07

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Best LL = -263.2609116263491

" ], "text/plain": [ "" @@ -1286,493 +1341,475 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_asc_children\n", - " 121.627746\n", + " 6.744041\n", + " 6.744041\n", " 5.3517\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 121.627746\n", " \n", " \n", " coef_asc_mixed\n", - " -88.249613\n", + " 6.886657\n", + " 6.886657\n", " 5.6290\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -88.249613\n", " \n", " \n", " coef_household_has_more_cars_than_workers_adults\n", - " -40.894264\n", + " 3.138920\n", + " 3.138920\n", " 1.3860\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -40.894264\n", " \n", " \n", " coef_household_has_more_cars_than_workers_mixed\n", - " 153.815203\n", + " 0.384250\n", + " 0.384250\n", " 0.7510\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 153.815203\n", " \n", " \n", " coef_household_in_suburban_area_adults\n", - " 0.510500\n", + " -1.123570\n", + " -1.123570\n", " 0.5105\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.510500\n", " \n", " \n", " coef_household_in_suburban_area_mixed\n", - " 0.128300\n", + " 0.258299\n", + " 0.258299\n", " 0.1283\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.128300\n", " \n", " \n", " coef_household_in_urban_area\n", - " -21.823334\n", + " -0.441828\n", + " -0.441828\n", " 0.5741\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -21.823334\n", " \n", " \n", " coef_log_max_overlap_of_adults_time_windows\n", - " -36.285976\n", + " 1.288269\n", + " 1.288269\n", " 1.1920\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - 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" NaN\n", - " NaN\n", " 0\n", - " \n", - " -161.727385\n", " \n", " \n", " coef_number_of_children_too_young_for_school_children\n", - " -110.048280\n", + " 0.661222\n", + " 0.661222\n", " 0.7306\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -110.048280\n", " \n", " \n", " coef_number_of_children_too_young_for_school_mixed\n", - " 9.539326\n", + " 1.065525\n", + " 1.065525\n", " 0.7906\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 9.539326\n", " \n", " \n", " coef_number_of_driving_age_children_children\n", - " -172.311937\n", + " 0.646806\n", + " 0.646806\n", " -0.2667\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -172.311937\n", " \n", " \n", " coef_number_of_driving_age_children_mixed\n", - " 184.761407\n", + " 0.494992\n", + " 0.494992\n", " -0.9399\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 184.761407\n", " \n", " \n", " coef_number_of_full_time_workers_adults\n", - " 185.490311\n", + " 1.638383\n", + " 1.638383\n", " 1.0240\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 185.490311\n", " \n", " \n", " coef_number_of_full_time_workers_mixed\n", - " 50.943193\n", + " 0.106573\n", + " 0.106573\n", " 0.3624\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 50.943193\n", " \n", " \n", " coef_number_of_non_workers_adults\n", - " 40.041010\n", + " 0.344889\n", + " 0.344889\n", " 0.6263\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 40.041010\n", " \n", " \n", " coef_number_of_non_workers_mixed\n", - " -96.438666\n", + " -0.067851\n", + " -0.067851\n", " -0.3724\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -96.438666\n", " \n", " \n", " coef_number_of_part_time_workers_adults\n", - " 47.088158\n", + " 0.094715\n", + " 0.094715\n", " 0.5412\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 47.088158\n", " \n", " \n", " coef_number_of_part_time_workers_mixed\n", - " 58.958712\n", + " 0.182067\n", + " 0.182067\n", " 0.3164\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 58.958712\n", " \n", " \n", " coef_number_of_pre_driving_age_children_children\n", - " 12.678858\n", + " 0.256545\n", + " 0.256545\n", " 0.7306\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 12.678858\n", " \n", " \n", " coef_number_of_pre_driving_age_children_mixed\n", - " 158.960267\n", + " 0.311384\n", + " 0.311384\n", " 0.3532\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 158.960267\n", " \n", " \n", " coef_number_of_university_students\n", - " -5.007830\n", + " 0.067485\n", + " 0.067485\n", " 0.8245\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.007830\n", " \n", " \n", " coef_tour_purpose_is_discretionary_adults\n", " 0.764800\n", + " 0.764800\n", " 0.7648\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.764800\n", " \n", " \n", " coef_tour_purpose_is_discretionary_children\n", " 0.510100\n", + " 0.510100\n", " 0.5101\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.510100\n", " \n", " \n", " coef_tour_purpose_is_eating_out_children\n", " -0.967800\n", + " -0.967800\n", " -0.9678\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.967800\n", " \n", " \n", " coef_tour_purpose_is_eating_out_mixed\n", " -0.802700\n", + " -0.802700\n", " -0.8027\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.802700\n", " \n", " \n", " coef_unavailable\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", + " -999.0\n", + " -999.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_asc_children 121.627746 5.3517 \n", - "coef_asc_mixed -88.249613 5.6290 \n", - "coef_household_has_more_cars_than_workers_adults -40.894264 1.3860 \n", - "coef_household_has_more_cars_than_workers_mixed 153.815203 0.7510 \n", - "coef_household_in_suburban_area_adults 0.510500 0.5105 \n", - "coef_household_in_suburban_area_mixed 0.128300 0.1283 \n", - "coef_household_in_urban_area -21.823334 0.5741 \n", - "coef_log_max_overlap_of_adults_time_windows -36.285976 1.1920 \n", - "coef_log_max_overlap_of_childrens_time_windows 283.696667 1.8410 \n", - "coef_log_max_overlap_of_time_windows 196.728573 1.9580 \n", - "coef_low_income_households_adults -16.894954 1.2480 \n", - "coef_low_income_households_mixed -3.143593 0.5755 \n", - "coef_medium_income_households -161.727385 0.8369 \n", - "coef_number_of_children_too_young_for_school_ch... -110.048280 0.7306 \n", - "coef_number_of_children_too_young_for_school_mixed 9.539326 0.7906 \n", - "coef_number_of_driving_age_children_children -172.311937 -0.2667 \n", - "coef_number_of_driving_age_children_mixed 184.761407 -0.9399 \n", - "coef_number_of_full_time_workers_adults 185.490311 1.0240 \n", - "coef_number_of_full_time_workers_mixed 50.943193 0.3624 \n", - "coef_number_of_non_workers_adults 40.041010 0.6263 \n", - "coef_number_of_non_workers_mixed -96.438666 -0.3724 \n", - "coef_number_of_part_time_workers_adults 47.088158 0.5412 \n", - "coef_number_of_part_time_workers_mixed 58.958712 0.3164 \n", - "coef_number_of_pre_driving_age_children_children 12.678858 0.7306 \n", - "coef_number_of_pre_driving_age_children_mixed 158.960267 0.3532 \n", - "coef_number_of_university_students -5.007830 0.8245 \n", - "coef_tour_purpose_is_discretionary_adults 0.764800 0.7648 \n", - "coef_tour_purpose_is_discretionary_children 0.510100 0.5101 \n", - "coef_tour_purpose_is_eating_out_children -0.967800 -0.9678 \n", - "coef_tour_purpose_is_eating_out_mixed -0.802700 -0.8027 \n", - "coef_unavailable -999.000000 -999.0000 \n", + " value best \\\n", + "param_name \n", + "coef_asc_children 6.744041 6.744041 \n", + "coef_asc_mixed 6.886657 6.886657 \n", + "coef_household_has_more_cars_than_workers_adults 3.138920 3.138920 \n", + "coef_household_has_more_cars_than_workers_mixed 0.384250 0.384250 \n", + "coef_household_in_suburban_area_adults -1.123570 -1.123570 \n", + "coef_household_in_suburban_area_mixed 0.258299 0.258299 \n", + "coef_household_in_urban_area -0.441828 -0.441828 \n", + "coef_log_max_overlap_of_adults_time_windows 1.288269 1.288269 \n", + "coef_log_max_overlap_of_childrens_time_windows 1.783892 1.783892 \n", + "coef_log_max_overlap_of_time_windows 1.505521 1.505521 \n", + "coef_low_income_households_adults 2.520875 2.520875 \n", + "coef_low_income_households_mixed 0.683195 0.683195 \n", + "coef_medium_income_households 1.853225 1.853225 \n", + "coef_number_of_children_too_young_for_school_ch... 0.661222 0.661222 \n", + "coef_number_of_children_too_young_for_school_mixed 1.065525 1.065525 \n", + "coef_number_of_driving_age_children_children 0.646806 0.646806 \n", + "coef_number_of_driving_age_children_mixed 0.494992 0.494992 \n", + "coef_number_of_full_time_workers_adults 1.638383 1.638383 \n", + "coef_number_of_full_time_workers_mixed 0.106573 0.106573 \n", + "coef_number_of_non_workers_adults 0.344889 0.344889 \n", + "coef_number_of_non_workers_mixed -0.067851 -0.067851 \n", + "coef_number_of_part_time_workers_adults 0.094715 0.094715 \n", + "coef_number_of_part_time_workers_mixed 0.182067 0.182067 \n", + "coef_number_of_pre_driving_age_children_children 0.256545 0.256545 \n", + "coef_number_of_pre_driving_age_children_mixed 0.311384 0.311384 \n", + "coef_number_of_university_students 0.067485 0.067485 \n", + "coef_tour_purpose_is_discretionary_adults 0.764800 0.764800 \n", + "coef_tour_purpose_is_discretionary_children 0.510100 0.510100 \n", + "coef_tour_purpose_is_eating_out_children -0.967800 -0.967800 \n", + "coef_tour_purpose_is_eating_out_mixed -0.802700 -0.802700 \n", + "coef_unavailable -999.000000 -999.000000 \n", "\n", - " nullvalue minimum \\\n", - "coef_asc_children 0.0 NaN \n", - "coef_asc_mixed 0.0 NaN \n", - "coef_household_has_more_cars_than_workers_adults 0.0 NaN \n", - "coef_household_has_more_cars_than_workers_mixed 0.0 NaN \n", - "coef_household_in_suburban_area_adults 0.0 NaN \n", - "coef_household_in_suburban_area_mixed 0.0 NaN \n", - "coef_household_in_urban_area 0.0 NaN \n", - "coef_log_max_overlap_of_adults_time_windows 0.0 NaN \n", - "coef_log_max_overlap_of_childrens_time_windows 0.0 NaN \n", - "coef_log_max_overlap_of_time_windows 0.0 NaN \n", - "coef_low_income_households_adults 0.0 NaN \n", - "coef_low_income_households_mixed 0.0 NaN \n", - "coef_medium_income_households 0.0 NaN \n", - "coef_number_of_children_too_young_for_school_ch... 0.0 NaN \n", - "coef_number_of_children_too_young_for_school_mixed 0.0 NaN \n", - "coef_number_of_driving_age_children_children 0.0 NaN \n", - "coef_number_of_driving_age_children_mixed 0.0 NaN \n", - "coef_number_of_full_time_workers_adults 0.0 NaN \n", - "coef_number_of_full_time_workers_mixed 0.0 NaN \n", - "coef_number_of_non_workers_adults 0.0 NaN \n", - "coef_number_of_non_workers_mixed 0.0 NaN \n", - "coef_number_of_part_time_workers_adults 0.0 NaN \n", - "coef_number_of_part_time_workers_mixed 0.0 NaN \n", - "coef_number_of_pre_driving_age_children_children 0.0 NaN \n", - "coef_number_of_pre_driving_age_children_mixed 0.0 NaN \n", - "coef_number_of_university_students 0.0 NaN \n", - "coef_tour_purpose_is_discretionary_adults 0.0 NaN \n", - "coef_tour_purpose_is_discretionary_children 0.0 NaN \n", - "coef_tour_purpose_is_eating_out_children 0.0 NaN \n", - "coef_tour_purpose_is_eating_out_mixed 0.0 NaN \n", - "coef_unavailable 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_asc_children 5.3517 -50.0 \n", + "coef_asc_mixed 5.6290 -50.0 \n", + "coef_household_has_more_cars_than_workers_adults 1.3860 -50.0 \n", + "coef_household_has_more_cars_than_workers_mixed 0.7510 -50.0 \n", + "coef_household_in_suburban_area_adults 0.5105 -50.0 \n", + "coef_household_in_suburban_area_mixed 0.1283 -50.0 \n", + "coef_household_in_urban_area 0.5741 -50.0 \n", + "coef_log_max_overlap_of_adults_time_windows 1.1920 -50.0 \n", + "coef_log_max_overlap_of_childrens_time_windows 1.8410 -50.0 \n", + "coef_log_max_overlap_of_time_windows 1.9580 -50.0 \n", + "coef_low_income_households_adults 1.2480 -50.0 \n", + "coef_low_income_households_mixed 0.5755 -50.0 \n", + "coef_medium_income_households 0.8369 -50.0 \n", + "coef_number_of_children_too_young_for_school_ch... 0.7306 -50.0 \n", + "coef_number_of_children_too_young_for_school_mixed 0.7906 -50.0 \n", + "coef_number_of_driving_age_children_children -0.2667 -50.0 \n", + "coef_number_of_driving_age_children_mixed -0.9399 -50.0 \n", + "coef_number_of_full_time_workers_adults 1.0240 -50.0 \n", + "coef_number_of_full_time_workers_mixed 0.3624 -50.0 \n", + "coef_number_of_non_workers_adults 0.6263 -50.0 \n", + "coef_number_of_non_workers_mixed -0.3724 -50.0 \n", + "coef_number_of_part_time_workers_adults 0.5412 -50.0 \n", + "coef_number_of_part_time_workers_mixed 0.3164 -50.0 \n", + "coef_number_of_pre_driving_age_children_children 0.7306 -50.0 \n", + "coef_number_of_pre_driving_age_children_mixed 0.3532 -50.0 \n", + "coef_number_of_university_students 0.8245 -50.0 \n", + "coef_tour_purpose_is_discretionary_adults 0.7648 -50.0 \n", + "coef_tour_purpose_is_discretionary_children 0.5101 -50.0 \n", + "coef_tour_purpose_is_eating_out_children -0.9678 -50.0 \n", + "coef_tour_purpose_is_eating_out_mixed -0.8027 -50.0 \n", + "coef_unavailable -999.0000 -999.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_asc_children NaN 0 \n", - "coef_asc_mixed NaN 0 \n", - "coef_household_has_more_cars_than_workers_adults NaN 0 \n", - "coef_household_has_more_cars_than_workers_mixed NaN 0 \n", - "coef_household_in_suburban_area_adults NaN 0 \n", - "coef_household_in_suburban_area_mixed NaN 0 \n", - "coef_household_in_urban_area NaN 0 \n", - "coef_log_max_overlap_of_adults_time_windows NaN 0 \n", - "coef_log_max_overlap_of_childrens_time_windows NaN 0 \n", - "coef_log_max_overlap_of_time_windows NaN 0 \n", - "coef_low_income_households_adults NaN 0 \n", - "coef_low_income_households_mixed NaN 0 \n", - "coef_medium_income_households NaN 0 \n", - "coef_number_of_children_too_young_for_school_ch... NaN 0 \n", - "coef_number_of_children_too_young_for_school_mixed NaN 0 \n", - "coef_number_of_driving_age_children_children NaN 0 \n", - "coef_number_of_driving_age_children_mixed NaN 0 \n", - "coef_number_of_full_time_workers_adults NaN 0 \n", - "coef_number_of_full_time_workers_mixed NaN 0 \n", - "coef_number_of_non_workers_adults NaN 0 \n", - "coef_number_of_non_workers_mixed NaN 0 \n", - "coef_number_of_part_time_workers_adults NaN 0 \n", - "coef_number_of_part_time_workers_mixed NaN 0 \n", - "coef_number_of_pre_driving_age_children_children NaN 0 \n", - "coef_number_of_pre_driving_age_children_mixed NaN 0 \n", - "coef_number_of_university_students NaN 0 \n", - "coef_tour_purpose_is_discretionary_adults NaN 0 \n", - "coef_tour_purpose_is_discretionary_children NaN 0 \n", - "coef_tour_purpose_is_eating_out_children NaN 0 \n", - "coef_tour_purpose_is_eating_out_mixed NaN 0 \n", - "coef_unavailable NaN 1 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_asc_children 50.0 0.0 \n", + "coef_asc_mixed 50.0 0.0 \n", + "coef_household_has_more_cars_than_workers_adults 50.0 0.0 \n", + "coef_household_has_more_cars_than_workers_mixed 50.0 0.0 \n", + "coef_household_in_suburban_area_adults 50.0 0.0 \n", + "coef_household_in_suburban_area_mixed 50.0 0.0 \n", + "coef_household_in_urban_area 50.0 0.0 \n", + "coef_log_max_overlap_of_adults_time_windows 50.0 0.0 \n", + "coef_log_max_overlap_of_childrens_time_windows 50.0 0.0 \n", + "coef_log_max_overlap_of_time_windows 50.0 0.0 \n", + "coef_low_income_households_adults 50.0 0.0 \n", + "coef_low_income_households_mixed 50.0 0.0 \n", + "coef_medium_income_households 50.0 0.0 \n", + "coef_number_of_children_too_young_for_school_ch... 50.0 0.0 \n", + "coef_number_of_children_too_young_for_school_mixed 50.0 0.0 \n", + "coef_number_of_driving_age_children_children 50.0 0.0 \n", + "coef_number_of_driving_age_children_mixed 50.0 0.0 \n", + "coef_number_of_full_time_workers_adults 50.0 0.0 \n", + "coef_number_of_full_time_workers_mixed 50.0 0.0 \n", + "coef_number_of_non_workers_adults 50.0 0.0 \n", + "coef_number_of_non_workers_mixed 50.0 0.0 \n", + "coef_number_of_part_time_workers_adults 50.0 0.0 \n", + "coef_number_of_part_time_workers_mixed 50.0 0.0 \n", + "coef_number_of_pre_driving_age_children_children 50.0 0.0 \n", + "coef_number_of_pre_driving_age_children_mixed 50.0 0.0 \n", + "coef_number_of_university_students 50.0 0.0 \n", + "coef_tour_purpose_is_discretionary_adults 50.0 0.0 \n", + "coef_tour_purpose_is_discretionary_children 50.0 0.0 \n", + "coef_tour_purpose_is_eating_out_children 50.0 0.0 \n", + "coef_tour_purpose_is_eating_out_mixed 50.0 0.0 \n", + "coef_unavailable -999.0 0.0 \n", "\n", - " best \n", - "coef_asc_children 121.627746 \n", - "coef_asc_mixed -88.249613 \n", - "coef_household_has_more_cars_than_workers_adults -40.894264 \n", - "coef_household_has_more_cars_than_workers_mixed 153.815203 \n", - "coef_household_in_suburban_area_adults 0.510500 \n", - "coef_household_in_suburban_area_mixed 0.128300 \n", - "coef_household_in_urban_area -21.823334 \n", - "coef_log_max_overlap_of_adults_time_windows -36.285976 \n", - "coef_log_max_overlap_of_childrens_time_windows 283.696667 \n", - "coef_log_max_overlap_of_time_windows 196.728573 \n", - "coef_low_income_households_adults -16.894954 \n", - "coef_low_income_households_mixed -3.143593 \n", - "coef_medium_income_households -161.727385 \n", - "coef_number_of_children_too_young_for_school_ch... -110.048280 \n", - "coef_number_of_children_too_young_for_school_mixed 9.539326 \n", - "coef_number_of_driving_age_children_children -172.311937 \n", - "coef_number_of_driving_age_children_mixed 184.761407 \n", - "coef_number_of_full_time_workers_adults 185.490311 \n", - "coef_number_of_full_time_workers_mixed 50.943193 \n", - "coef_number_of_non_workers_adults 40.041010 \n", - "coef_number_of_non_workers_mixed -96.438666 \n", - "coef_number_of_part_time_workers_adults 47.088158 \n", - "coef_number_of_part_time_workers_mixed 58.958712 \n", - "coef_number_of_pre_driving_age_children_children 12.678858 \n", - "coef_number_of_pre_driving_age_children_mixed 158.960267 \n", - "coef_number_of_university_students -5.007830 \n", - "coef_tour_purpose_is_discretionary_adults 0.764800 \n", - "coef_tour_purpose_is_discretionary_children 0.510100 \n", - "coef_tour_purpose_is_eating_out_children -0.967800 \n", - "coef_tour_purpose_is_eating_out_mixed -0.802700 \n", - "coef_unavailable -999.000000 " + " holdfast \n", + "param_name \n", + "coef_asc_children 0 \n", + "coef_asc_mixed 0 \n", + "coef_household_has_more_cars_than_workers_adults 0 \n", + "coef_household_has_more_cars_than_workers_mixed 0 \n", + "coef_household_in_suburban_area_adults 0 \n", + "coef_household_in_suburban_area_mixed 0 \n", + "coef_household_in_urban_area 0 \n", + "coef_log_max_overlap_of_adults_time_windows 0 \n", + "coef_log_max_overlap_of_childrens_time_windows 0 \n", + "coef_log_max_overlap_of_time_windows 0 \n", + "coef_low_income_households_adults 0 \n", + "coef_low_income_households_mixed 0 \n", + "coef_medium_income_households 0 \n", + "coef_number_of_children_too_young_for_school_ch... 0 \n", + "coef_number_of_children_too_young_for_school_mixed 0 \n", + "coef_number_of_driving_age_children_children 0 \n", + "coef_number_of_driving_age_children_mixed 0 \n", + "coef_number_of_full_time_workers_adults 0 \n", + "coef_number_of_full_time_workers_mixed 0 \n", + "coef_number_of_non_workers_adults 0 \n", + "coef_number_of_non_workers_mixed 0 \n", + "coef_number_of_part_time_workers_adults 0 \n", + "coef_number_of_part_time_workers_mixed 0 \n", + "coef_number_of_pre_driving_age_children_children 0 \n", + "coef_number_of_pre_driving_age_children_mixed 0 \n", + "coef_number_of_university_students 0 \n", + "coef_tour_purpose_is_discretionary_adults 0 \n", + "coef_tour_purpose_is_discretionary_children 0 \n", + "coef_tour_purpose_is_eating_out_children 0 \n", + "coef_tour_purpose_is_eating_out_mixed 0 \n", + "coef_unavailable 1 " ] }, "metadata": {}, @@ -1782,12 +1819,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='SLSQP')\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 0.0 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " model.estimate(method='SLSQP')\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -1803,107 +1836,107 @@ " \n", " \n", " coef_asc_children\n", - " 121.627746\n", + " 6.744041\n", " \n", " \n", " coef_asc_mixed\n", - " -88.249613\n", + " 6.886657\n", " \n", " \n", " coef_household_has_more_cars_than_workers_adults\n", - " -40.894264\n", + " 3.138920\n", " \n", " \n", " coef_household_has_more_cars_than_workers_mixed\n", - " 153.815203\n", + " 0.384250\n", " \n", " \n", " coef_household_in_suburban_area_adults\n", - " 0.510500\n", + " -1.123570\n", " \n", " \n", " coef_household_in_suburban_area_mixed\n", - " 0.128300\n", + " 0.258299\n", " \n", " \n", " coef_household_in_urban_area\n", - " -21.823334\n", + " -0.441828\n", " \n", " \n", " coef_log_max_overlap_of_adults_time_windows\n", - " -36.285976\n", + " 1.288269\n", " \n", " \n", " coef_log_max_overlap_of_childrens_time_windows\n", - " 283.696667\n", + " 1.783892\n", " \n", " \n", " coef_log_max_overlap_of_time_windows\n", - " 196.728573\n", + " 1.505521\n", " \n", " \n", " coef_low_income_households_adults\n", - " -16.894954\n", + " 2.520875\n", " \n", " \n", " coef_low_income_households_mixed\n", - " -3.143593\n", + " 0.683195\n", " \n", " \n", " coef_medium_income_households\n", - " -161.727385\n", + " 1.853225\n", " \n", " \n", " coef_number_of_children_too_young_for_school_children\n", - " -110.048280\n", + " 0.661222\n", " \n", " \n", " coef_number_of_children_too_young_for_school_mixed\n", - " 9.539326\n", + " 1.065525\n", " \n", " \n", " coef_number_of_driving_age_children_children\n", - " -172.311937\n", + " 0.646806\n", " \n", " \n", " coef_number_of_driving_age_children_mixed\n", - " 184.761407\n", + " 0.494992\n", " \n", " \n", " coef_number_of_full_time_workers_adults\n", - " 185.490311\n", + " 1.638383\n", " \n", " \n", " coef_number_of_full_time_workers_mixed\n", - " 50.943193\n", + " 0.106573\n", " \n", " \n", " coef_number_of_non_workers_adults\n", - " 40.041010\n", + " 0.344889\n", " \n", " \n", " coef_number_of_non_workers_mixed\n", - " -96.438666\n", + " -0.067851\n", " \n", " \n", " coef_number_of_part_time_workers_adults\n", - " 47.088158\n", + " 0.094715\n", " \n", " \n", " coef_number_of_part_time_workers_mixed\n", - " 58.958712\n", + " 0.182067\n", " \n", " \n", " coef_number_of_pre_driving_age_children_children\n", - " 12.678858\n", + " 0.256545\n", " \n", " \n", " coef_number_of_pre_driving_age_children_mixed\n", - " 158.960267\n", + " 0.311384\n", " \n", " \n", " coef_number_of_university_students\n", - " -5.007830\n", + " 0.067485\n", " \n", " \n", " coef_tour_purpose_is_discretionary_adults\n", @@ -1926,7 +1959,7 @@ " -999.000000\n", " \n", " \n", - "loglike-9.786597596036862e-07d_loglike\n", + "
logloss0.2061557647817926d_logloss\n", " \n", " \n", " \n", @@ -1936,107 +1969,107 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2059,85 +2092,85 @@ " \n", " \n", " \n", - "
coef_asc_children-1.199240e-064.680292e-05
coef_asc_mixed1.199240e-061.506794e-04
coef_household_has_more_cars_than_workers_adults-7.697895e-122-1.303235e-04
coef_household_has_more_cars_than_workers_mixed2.677106e-094.087211e-05
coef_household_in_suburban_area_adults0.000000e+00-2.788428e-05
coef_household_in_suburban_area_mixed0.000000e+00-2.733559e-05
coef_household_in_urban_area-1.311061e-38-1.695981e-04
coef_log_max_overlap_of_adults_time_windows-2.551704e-387.673766e-05
coef_log_max_overlap_of_childrens_time_windows-2.523891e-063.533351e-05
coef_log_max_overlap_of_time_windows2.726540e-062.703275e-05
coef_low_income_households_adults-4.843014e-79-1.364236e-04
coef_low_income_households_mixed4.440892e-165.443801e-05
coef_medium_income_households-1.620456e-77-7.972989e-05
coef_number_of_children_too_young_for_school_children8.759917e-08-1.415851e-04
coef_number_of_children_too_young_for_school_mixed-8.759917e-08-1.265584e-04
coef_number_of_driving_age_children_children-2.272077e-16-7.515067e-05
coef_number_of_driving_age_children_mixed4.440892e-16-7.904237e-05
coef_number_of_full_time_workers_adults-3.933184e-381.573128e-04
coef_number_of_full_time_workers_mixed2.196009e-064.624742e-05
coef_number_of_non_workers_adults-4.909798e-77-2.862258e-05
coef_number_of_non_workers_mixed2.677106e-09-1.424617e-05
coef_number_of_part_time_workers_adults-1.620456e-77-2.202661e-04
coef_number_of_part_time_workers_mixed-8.759917e-082.445794e-07
coef_number_of_pre_driving_age_children_children-2.486079e-06-1.084978e-05
coef_number_of_pre_driving_age_children_mixed2.486079e-063.508229e-05
coef_number_of_university_students-2.474369e-317-5.764209e-05
coef_tour_purpose_is_discretionary_adults0.000000e+00
nit33nfev39njev33status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.266490method'SLSQP'n_cases91iteration_number33logloss1.075450285278776e-08" + "nit95nfev95njev95status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.247365method'SLSQP'n_cases1277iteration_number95loglike-263.2609116263491" ], "text/plain": [ - "┣ x: coef_asc_children 121.627746\n", - "┃ coef_asc_mixed -88.249613\n", - "┃ coef_household_has_more_cars_than_workers_adults -40.894264\n", - "┃ coef_household_has_more_cars_than_workers_mixed 153.815203\n", - "┃ coef_household_in_suburban_area_adults 0.510500\n", - "┃ coef_household_in_suburban_area_mixed 0.128300\n", - "┃ coef_household_in_urban_area -21.823334\n", - "┃ coef_log_max_overlap_of_adults_time_windows -36.285976\n", - "┃ coef_log_max_overlap_of_childrens_time_windows 283.696667\n", - "┃ coef_log_max_overlap_of_time_windows 196.728573\n", - "┃ coef_low_income_households_adults -16.894954\n", - "┃ coef_low_income_households_mixed -3.143593\n", - "┃ coef_medium_income_households -161.727385\n", - "┃ coef_number_of_children_too_young_for_school_children -110.048280\n", - "┃ coef_number_of_children_too_young_for_school_mixed 9.539326\n", - "┃ coef_number_of_driving_age_children_children -172.311937\n", - "┃ coef_number_of_driving_age_children_mixed 184.761407\n", - "┃ coef_number_of_full_time_workers_adults 185.490311\n", - "┃ coef_number_of_full_time_workers_mixed 50.943193\n", - "┃ coef_number_of_non_workers_adults 40.041010\n", - "┃ coef_number_of_non_workers_mixed -96.438666\n", - "┃ coef_number_of_part_time_workers_adults 47.088158\n", - "┃ coef_number_of_part_time_workers_mixed 58.958712\n", - "┃ coef_number_of_pre_driving_age_children_children 12.678858\n", - "┃ coef_number_of_pre_driving_age_children_mixed 158.960267\n", - "┃ coef_number_of_university_students -5.007830\n", + "┣ x: coef_asc_children 6.744041\n", + "┃ coef_asc_mixed 6.886657\n", + "┃ coef_household_has_more_cars_than_workers_adults 3.138920\n", + "┃ coef_household_has_more_cars_than_workers_mixed 0.384250\n", + "┃ coef_household_in_suburban_area_adults -1.123570\n", + "┃ coef_household_in_suburban_area_mixed 0.258299\n", + "┃ coef_household_in_urban_area -0.441828\n", + "┃ coef_log_max_overlap_of_adults_time_windows 1.288269\n", + "┃ coef_log_max_overlap_of_childrens_time_windows 1.783892\n", + "┃ coef_log_max_overlap_of_time_windows 1.505521\n", + "┃ coef_low_income_households_adults 2.520875\n", + "┃ coef_low_income_households_mixed 0.683195\n", + "┃ coef_medium_income_households 1.853225\n", + "┃ coef_number_of_children_too_young_for_school_children 0.661222\n", + "┃ coef_number_of_children_too_young_for_school_mixed 1.065525\n", + "┃ coef_number_of_driving_age_children_children 0.646806\n", + "┃ coef_number_of_driving_age_children_mixed 0.494992\n", + "┃ coef_number_of_full_time_workers_adults 1.638383\n", + "┃ coef_number_of_full_time_workers_mixed 0.106573\n", + "┃ coef_number_of_non_workers_adults 0.344889\n", + "┃ coef_number_of_non_workers_mixed -0.067851\n", + "┃ coef_number_of_part_time_workers_adults 0.094715\n", + "┃ coef_number_of_part_time_workers_mixed 0.182067\n", + "┃ coef_number_of_pre_driving_age_children_children 0.256545\n", + "┃ coef_number_of_pre_driving_age_children_mixed 0.311384\n", + "┃ coef_number_of_university_students 0.067485\n", "┃ coef_tour_purpose_is_discretionary_adults 0.764800\n", "┃ coef_tour_purpose_is_discretionary_children 0.510100\n", "┃ coef_tour_purpose_is_eating_out_children -0.967800\n", "┃ coef_tour_purpose_is_eating_out_mixed -0.802700\n", "┃ coef_unavailable -999.000000\n", "┃ dtype: float64\n", - "┣ loglike: -9.786597596036862e-07\n", - "┣ d_loglike: coef_asc_children -1.199240e-06\n", - "┃ coef_asc_mixed 1.199240e-06\n", - "┃ coef_household_has_more_cars_than_workers_adults -7.697895e-122\n", - "┃ coef_household_has_more_cars_than_workers_mixed 2.677106e-09\n", - "┃ coef_household_in_suburban_area_adults 0.000000e+00\n", - "┃ coef_household_in_suburban_area_mixed 0.000000e+00\n", - "┃ coef_household_in_urban_area -1.311061e-38\n", - "┃ coef_log_max_overlap_of_adults_time_windows -2.551704e-38\n", - "┃ coef_log_max_overlap_of_childrens_time_windows -2.523891e-06\n", - "┃ coef_log_max_overlap_of_time_windows 2.726540e-06\n", - "┃ coef_low_income_households_adults -4.843014e-79\n", - "┃ coef_low_income_households_mixed 4.440892e-16\n", - "┃ coef_medium_income_households -1.620456e-77\n", - "┃ coef_number_of_children_too_young_for_school_children 8.759917e-08\n", - "┃ coef_number_of_children_too_young_for_school_mixed -8.759917e-08\n", - "┃ coef_number_of_driving_age_children_children -2.272077e-16\n", - "┃ coef_number_of_driving_age_children_mixed 4.440892e-16\n", - "┃ coef_number_of_full_time_workers_adults -3.933184e-38\n", - "┃ coef_number_of_full_time_workers_mixed 2.196009e-06\n", - "┃ coef_number_of_non_workers_adults -4.909798e-77\n", - "┃ coef_number_of_non_workers_mixed 2.677106e-09\n", - "┃ coef_number_of_part_time_workers_adults -1.620456e-77\n", - "┃ coef_number_of_part_time_workers_mixed -8.759917e-08\n", - "┃ coef_number_of_pre_driving_age_children_children -2.486079e-06\n", - "┃ coef_number_of_pre_driving_age_children_mixed 2.486079e-06\n", - "┃ coef_number_of_university_students -2.474369e-317\n", - "┃ coef_tour_purpose_is_discretionary_adults 0.000000e+00\n", - "┃ coef_tour_purpose_is_discretionary_children 0.000000e+00\n", - "┃ coef_tour_purpose_is_eating_out_children 0.000000e+00\n", - "┃ coef_tour_purpose_is_eating_out_mixed 0.000000e+00\n", - "┃ coef_unavailable 0.000000e+00\n", + "┣ logloss: 0.2061557647817926\n", + "┣ d_logloss: coef_asc_children 4.680292e-05\n", + "┃ coef_asc_mixed 1.506794e-04\n", + "┃ coef_household_has_more_cars_than_workers_adults -1.303235e-04\n", + "┃ coef_household_has_more_cars_than_workers_mixed 4.087211e-05\n", + "┃ coef_household_in_suburban_area_adults -2.788428e-05\n", + "┃ coef_household_in_suburban_area_mixed -2.733559e-05\n", + "┃ coef_household_in_urban_area -1.695981e-04\n", + "┃ coef_log_max_overlap_of_adults_time_windows 7.673766e-05\n", + "┃ coef_log_max_overlap_of_childrens_time_windows 3.533351e-05\n", + "┃ coef_log_max_overlap_of_time_windows 2.703275e-05\n", + "┃ coef_low_income_households_adults -1.364236e-04\n", + "┃ coef_low_income_households_mixed 5.443801e-05\n", + "┃ coef_medium_income_households -7.972989e-05\n", + "┃ coef_number_of_children_too_young_for_school_children -1.415851e-04\n", + "┃ coef_number_of_children_too_young_for_school_mixed -1.265584e-04\n", + "┃ coef_number_of_driving_age_children_children -7.515067e-05\n", + "┃ coef_number_of_driving_age_children_mixed -7.904237e-05\n", + "┃ coef_number_of_full_time_workers_adults 1.573128e-04\n", + "┃ coef_number_of_full_time_workers_mixed 4.624742e-05\n", + "┃ coef_number_of_non_workers_adults -2.862258e-05\n", + "┃ coef_number_of_non_workers_mixed -1.424617e-05\n", + "┃ coef_number_of_part_time_workers_adults -2.202661e-04\n", + "┃ coef_number_of_part_time_workers_mixed 2.445794e-07\n", + "┃ coef_number_of_pre_driving_age_children_children -1.084978e-05\n", + "┃ coef_number_of_pre_driving_age_children_mixed 3.508229e-05\n", + "┃ coef_number_of_university_students -5.764209e-05\n", + "┃ coef_tour_purpose_is_discretionary_adults 0.000000e+00\n", + "┃ coef_tour_purpose_is_discretionary_children 0.000000e+00\n", + "┃ coef_tour_purpose_is_eating_out_children 0.000000e+00\n", + "┃ coef_tour_purpose_is_eating_out_mixed 0.000000e+00\n", + "┃ coef_unavailable 0.000000e+00\n", "┃ dtype: float64\n", - "┣ nit: 33\n", - "┣ nfev: 39\n", - "┣ njev: 33\n", + "┣ nit: 95\n", + "┣ nfev: 95\n", + "┣ njev: 95\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(microseconds=266490)\n", + "┣ elapsed_time: datetime.timedelta(microseconds=247365)\n", "┣ method: 'SLSQP'\n", - "┣ n_cases: 91\n", - "┣ iteration_number: 33\n", - "┣ logloss: 1.075450285278776e-08" + "┣ n_cases: 1277\n", + "┣ iteration_number: 95\n", + "┣ loglike: -263.2609116263491" ] }, "execution_count": 7, @@ -2172,330 +2205,325 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_asc_children 122. NA NA[***] 306.42 0.00
coef_asc_mixed-88.2 2.20e+04-0.00 NA 0.00
coef_household_has_more_cars_than_workers_adults-40.9 NA NA[] 0.00 0.00
coef_household_has_more_cars_than_workers_mixed 154. 4.67e+04 0.00 NA 0.00
coef_household_in_suburban_area_adults 0.511 NA NA[] 0.00 0.00
coef_household_in_suburban_area_mixed 0.128 NA NA[] 0.00 0.00
coef_household_in_urban_area-21.8 NA NA[] 0.00 0.00
coef_log_max_overlap_of_adults_time_windows-36.3 NA NA[] 0.00 0.00
coef_log_max_overlap_of_childrens_time_windows 284. NA NA[***] BIG 0.00
coef_log_max_overlap_of_time_windows 197. 1.02e+04 0.02 NA 0.00
coef_low_income_households_adults-16.9 NA NA[] 0.00 0.00
coef_low_income_households_mixed-3.14 NA NA[] 0.00 0.00
coef_medium_income_households-162. NA NA[] 0.00 0.00
coef_number_of_children_too_young_for_school_children-110. 9.62e+03-0.01 NA 0.00
coef_number_of_children_too_young_for_school_mixed 9.54 4.19e+03 0.00 NA 0.00
coef_number_of_driving_age_children_children-172. 1.21e+05-0.00 NA 0.00
coef_number_of_driving_age_children_mixed 185. NA NA[***] 293.31 0.00
coef_number_of_full_time_workers_adults 185. NA NA[***] 216.30 0.00
coef_number_of_full_time_workers_mixed 50.9 3.72e+03 0.01 NA 0.00
coef_number_of_non_workers_adults 40.0 NA NA[] 0.00 0.00
coef_number_of_non_workers_mixed-96.4 2.02e+05-0.00 NA 0.00
coef_number_of_part_time_workers_adults 47.1 NA NA[] 0.00 0.00
coef_number_of_part_time_workers_mixed 59.0 4.19e+03 0.01 NA 0.00
coef_number_of_pre_driving_age_children_children 12.7 1.41e+04 0.00 NA 0.00
coef_number_of_pre_driving_age_children_mixed 159. 2.22e+04 0.01 NA 0.00
coef_number_of_university_students-5.01 0.00 NA[] 0.00 0.00
coef_tour_purpose_is_discretionary_adults 0.765 0.00 NA[] 0.00 0.00
coef_tour_purpose_is_discretionary_children 0.510 0.00 NA[] 0.00 0.00
coef_tour_purpose_is_eating_out_children-0.968 0.00 NA[] 0.00 0.00
coef_tour_purpose_is_eating_out_mixed-0.803 0.00 NA[] 0.00 0.00
coef_unavailable-999. NA NA NA 0.00fixed value
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_asc_children 6.74 NA NA 0.00
coef_asc_mixed 6.89 NA NA 0.00
coef_household_has_more_cars_than_workers_adults 3.14 1.19 2.64** 0.00
coef_household_has_more_cars_than_workers_mixed 0.384 0.275 1.40 0.00
coef_household_in_suburban_area_adults-1.12 NA NA 0.00
coef_household_in_suburban_area_mixed 0.258 0.272 0.95 0.00
coef_household_in_urban_area-0.442 NA NA 0.00
coef_log_max_overlap_of_adults_time_windows 1.29 0.921 1.40 0.00
coef_log_max_overlap_of_childrens_time_windows 1.78 0.379 4.71*** 0.00
coef_log_max_overlap_of_time_windows 1.51 0.376 4.00*** 0.00
coef_low_income_households_adults 2.52 1.01 2.48* 0.00
coef_low_income_households_mixed 0.683 0.345 1.98* 0.00
coef_medium_income_households 1.85 0.782 2.37* 0.00
coef_number_of_children_too_young_for_school_children 0.661 0.684 0.97 0.00
coef_number_of_children_too_young_for_school_mixed 1.07 0.653 1.63 0.00
coef_number_of_driving_age_children_children 0.647 0.901 0.72 0.00
coef_number_of_driving_age_children_mixed 0.495 0.870 0.57 0.00
coef_number_of_full_time_workers_adults 1.64 0.455 3.60*** 0.00
coef_number_of_full_time_workers_mixed 0.107 0.175 0.61 0.00
coef_number_of_non_workers_adults 0.345 0.455 0.76 0.00
coef_number_of_non_workers_mixed-0.0679 0.175-0.39 0.00
coef_number_of_part_time_workers_adults 0.0947 0.789 0.12 0.00
coef_number_of_part_time_workers_mixed 0.182 0.227 0.80 0.00
coef_number_of_pre_driving_age_children_children 0.257 0.503 0.51 0.00
coef_number_of_pre_driving_age_children_mixed 0.311 0.475 0.66 0.00
coef_number_of_university_students 0.0675 0.499 0.14 0.00
coef_tour_purpose_is_discretionary_adults 0.765 0.00 NA 0.00
coef_tour_purpose_is_discretionary_children 0.510 0.00 NA 0.00
coef_tour_purpose_is_eating_out_children-0.968 0.00 NA 0.00
coef_tour_purpose_is_eating_out_mixed-0.803 0.00 NA 0.00
coef_unavailable-999. 0.00 NA 0.00fixed value
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -2542,18 +2570,7 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -2611,13 +2628,13 @@ " \n", " 1\n", " coef_asc_children\n", - " 121.627746\n", + " 6.744041\n", " F\n", " \n", " \n", " 2\n", " coef_asc_mixed\n", - " -88.249613\n", + " 6.886657\n", " fF\n", " \n", " \n", @@ -2647,145 +2664,145 @@ " \n", " 7\n", " coef_number_of_full_time_workers_adults\n", - " 185.490311\n", + " 1.638383\n", " F\n", " \n", " \n", " 8\n", " coef_number_of_full_time_workers_mixed\n", - " 50.943193\n", + " 0.106573\n", " F\n", " \n", " \n", " 9\n", " coef_number_of_part_time_workers_adults\n", - " 47.088158\n", + " 0.094715\n", " F\n", " \n", " \n", " 10\n", " coef_number_of_part_time_workers_mixed\n", - " 58.958712\n", + " 0.182067\n", " F\n", " \n", " \n", " 11\n", " coef_number_of_university_students\n", - " -5.007830\n", + " 0.067485\n", " F\n", " \n", " \n", " 12\n", " coef_number_of_non_workers_adults\n", - " 40.041010\n", + " 0.344889\n", " F\n", " \n", " \n", " 13\n", " coef_number_of_non_workers_mixed\n", - " -96.438666\n", + " -0.067851\n", " F\n", " \n", " \n", " 14\n", " coef_number_of_children_too_young_for_school_c...\n", - " -110.048280\n", + " 0.661222\n", " F\n", " \n", " \n", " 15\n", " coef_number_of_children_too_young_for_school_m...\n", - " 9.539326\n", + " 1.065525\n", " F\n", " \n", " \n", " 16\n", " coef_number_of_pre_driving_age_children_children\n", - " 12.678858\n", + " 0.256545\n", " F\n", " \n", " \n", " 17\n", " coef_number_of_pre_driving_age_children_mixed\n", - " 158.960267\n", + " 0.311384\n", " F\n", " \n", " \n", " 18\n", " coef_number_of_driving_age_children_children\n", - " -172.311937\n", + " 0.646806\n", " F\n", " \n", " \n", " 19\n", " coef_number_of_driving_age_children_mixed\n", - " 184.761407\n", + " 0.494992\n", " F\n", " \n", " \n", " 20\n", " coef_low_income_households_adults\n", - " -16.894954\n", + " 2.520875\n", " F\n", " \n", " \n", " 21\n", " coef_low_income_households_mixed\n", - " -3.143593\n", + " 0.683195\n", " F\n", " \n", " \n", " 22\n", " coef_medium_income_households\n", - " -161.727385\n", + " 1.853225\n", " F\n", " \n", " \n", " 23\n", " coef_household_has_more_cars_than_workers_adults\n", - " -40.894264\n", + " 3.138920\n", " F\n", " \n", " \n", " 24\n", " coef_household_has_more_cars_than_workers_mixed\n", - " 153.815203\n", + " 0.384250\n", " F\n", " \n", " \n", " 25\n", " coef_household_in_urban_area\n", - " -21.823334\n", + " -0.441828\n", " F\n", " \n", " \n", " 26\n", " coef_household_in_suburban_area_adults\n", - " 0.510500\n", + " -1.123570\n", " F\n", " \n", " \n", " 27\n", " coef_household_in_suburban_area_mixed\n", - " 0.128300\n", + " 0.258299\n", " F\n", " \n", " \n", " 28\n", " coef_log_max_overlap_of_adults_time_windows\n", - " -36.285976\n", + " 1.288269\n", " F\n", " \n", " \n", " 29\n", " coef_log_max_overlap_of_childrens_time_windows\n", - " 283.696667\n", + " 1.783892\n", " F\n", " \n", " \n", " 30\n", " coef_log_max_overlap_of_time_windows\n", - " 196.728573\n", + " 1.505521\n", " F\n", " \n", " \n", @@ -2795,36 +2812,36 @@ "text/plain": [ " coefficient_name value constrain\n", "0 coef_unavailable -999.000000 T\n", - "1 coef_asc_children 121.627746 F\n", - "2 coef_asc_mixed -88.249613 fF\n", + "1 coef_asc_children 6.744041 F\n", + "2 coef_asc_mixed 6.886657 fF\n", "3 coef_tour_purpose_is_eating_out_children -0.967800 F\n", "4 coef_tour_purpose_is_eating_out_mixed -0.802700 F\n", "5 coef_tour_purpose_is_discretionary_adults 0.764800 F\n", "6 coef_tour_purpose_is_discretionary_children 0.510100 F\n", - "7 coef_number_of_full_time_workers_adults 185.490311 F\n", - "8 coef_number_of_full_time_workers_mixed 50.943193 F\n", - "9 coef_number_of_part_time_workers_adults 47.088158 F\n", - "10 coef_number_of_part_time_workers_mixed 58.958712 F\n", - "11 coef_number_of_university_students -5.007830 F\n", - "12 coef_number_of_non_workers_adults 40.041010 F\n", - "13 coef_number_of_non_workers_mixed -96.438666 F\n", - "14 coef_number_of_children_too_young_for_school_c... -110.048280 F\n", - "15 coef_number_of_children_too_young_for_school_m... 9.539326 F\n", - "16 coef_number_of_pre_driving_age_children_children 12.678858 F\n", - "17 coef_number_of_pre_driving_age_children_mixed 158.960267 F\n", - "18 coef_number_of_driving_age_children_children -172.311937 F\n", - "19 coef_number_of_driving_age_children_mixed 184.761407 F\n", - "20 coef_low_income_households_adults -16.894954 F\n", - "21 coef_low_income_households_mixed -3.143593 F\n", - "22 coef_medium_income_households -161.727385 F\n", - "23 coef_household_has_more_cars_than_workers_adults -40.894264 F\n", - "24 coef_household_has_more_cars_than_workers_mixed 153.815203 F\n", - "25 coef_household_in_urban_area -21.823334 F\n", - "26 coef_household_in_suburban_area_adults 0.510500 F\n", - "27 coef_household_in_suburban_area_mixed 0.128300 F\n", - "28 coef_log_max_overlap_of_adults_time_windows -36.285976 F\n", - "29 coef_log_max_overlap_of_childrens_time_windows 283.696667 F\n", - "30 coef_log_max_overlap_of_time_windows 196.728573 F" + "7 coef_number_of_full_time_workers_adults 1.638383 F\n", + "8 coef_number_of_full_time_workers_mixed 0.106573 F\n", + "9 coef_number_of_part_time_workers_adults 0.094715 F\n", + "10 coef_number_of_part_time_workers_mixed 0.182067 F\n", + "11 coef_number_of_university_students 0.067485 F\n", + "12 coef_number_of_non_workers_adults 0.344889 F\n", + "13 coef_number_of_non_workers_mixed -0.067851 F\n", + "14 coef_number_of_children_too_young_for_school_c... 0.661222 F\n", + "15 coef_number_of_children_too_young_for_school_m... 1.065525 F\n", + "16 coef_number_of_pre_driving_age_children_children 0.256545 F\n", + "17 coef_number_of_pre_driving_age_children_mixed 0.311384 F\n", + "18 coef_number_of_driving_age_children_children 0.646806 F\n", + "19 coef_number_of_driving_age_children_mixed 0.494992 F\n", + "20 coef_low_income_households_adults 2.520875 F\n", + "21 coef_low_income_households_mixed 0.683195 F\n", + "22 coef_medium_income_households 1.853225 F\n", + "23 coef_household_has_more_cars_than_workers_adults 3.138920 F\n", + "24 coef_household_has_more_cars_than_workers_mixed 0.384250 F\n", + "25 coef_household_in_urban_area -0.441828 F\n", + "26 coef_household_in_suburban_area_adults -1.123570 F\n", + "27 coef_household_in_suburban_area_mixed 0.258299 F\n", + "28 coef_log_max_overlap_of_adults_time_windows 1.288269 F\n", + "29 coef_log_max_overlap_of_childrens_time_windows 1.783892 F\n", + "30 coef_log_max_overlap_of_time_windows 1.505521 F" ] }, "execution_count": 11, @@ -2844,7 +2861,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -2858,7 +2875,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/12_joint_tour_participation.ipynb b/activitysim/examples/example_estimation/notebooks/12_joint_tour_participation.ipynb index 22eb78efa..6aa4c7d14 100644 --- a/activitysim/examples/example_estimation/notebooks/12_joint_tour_participation.ipynb +++ b/activitysim/examples/example_estimation/notebooks/12_joint_tour_participation.ipynb @@ -34,27 +34,75 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +116,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/joint_tour_participation/joint_tour_participation_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/joint_tour_participation/joint_tour_participation_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_participation/joint_tour_participation_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"joint_tour_participation\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -794,14 +857,14 @@ " \n", " \n", " \n", - " 778529801\n", + " 785368601\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -812,20 +875,20 @@ " True\n", " False\n", " False\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 778529802\n", + " 785368602\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -836,20 +899,20 @@ " True\n", " False\n", " False\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 870845401\n", + " 790231801\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -860,20 +923,20 @@ " True\n", " False\n", " False\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 870845402\n", + " 790231802\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -884,20 +947,20 @@ " True\n", " False\n", " False\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 971500601\n", + " 790977601\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -910,7 +973,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " 1\n", " \n", " \n", @@ -938,10 +1001,9 @@ " ...\n", " \n", " \n", - " 29881474102\n", - " 0\n", - " 0\n", - " 0.0\n", + " 30524624502\n", + " 1\n", + " 1\n", " 1.0\n", " 0.0\n", " 0.0\n", @@ -949,25 +1011,26 @@ " 0.0\n", " 0.0\n", " 0.0\n", + " 0.0\n", " ...\n", " False\n", " False\n", " False\n", - " True\n", " False\n", " False\n", + " True\n", " False\n", " True\n", " False\n", - " 1\n", + " 2\n", " \n", " \n", - " 30181098001\n", - " 1\n", - " 1\n", - " 0.0\n", + " 30524624503\n", + " 0\n", + " 0\n", " 0.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -977,21 +1040,21 @@ " False\n", " False\n", " False\n", - " True\n", " False\n", " False\n", + " True\n", " False\n", " True\n", " False\n", - " 2\n", + " 1\n", " \n", " \n", - " 30181098002\n", + " 30524624504\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -1001,22 +1064,22 @@ " False\n", " False\n", " False\n", - " True\n", " False\n", " False\n", + " True\n", " False\n", " True\n", " False\n", " 1\n", " \n", " \n", - " 30181098003\n", + " 30524624505\n", " 0\n", " 0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -1025,16 +1088,16 @@ " False\n", " False\n", " False\n", - " True\n", " False\n", " False\n", + " True\n", " False\n", " True\n", " False\n", " 1\n", " \n", " \n", - " 30181098004\n", + " 30524624506\n", " 0\n", " 0\n", " 0.0\n", @@ -1044,14 +1107,14 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 0.0\n", + " 1.0\n", " ...\n", + " True\n", " False\n", " False\n", " False\n", - " True\n", - " False\n", " False\n", + " True\n", " False\n", " True\n", " False\n", @@ -1059,193 +1122,193 @@ " \n", " \n", "\n", - "

304 rows × 226 columns

\n", + "

4500 rows × 226 columns

\n", "" ], "text/plain": [ " model_choice override_choice \\\n", "participant_id \n", - "778529801 0 0 \n", - "778529802 0 0 \n", - "870845401 0 0 \n", - "870845402 0 0 \n", - "971500601 0 0 \n", + "785368601 0 0 \n", + "785368602 0 0 \n", + "790231801 0 0 \n", + "790231802 0 0 \n", + "790977601 0 0 \n", "... ... ... \n", - "29881474102 0 0 \n", - "30181098001 1 1 \n", - "30181098002 0 0 \n", - "30181098003 0 0 \n", - "30181098004 0 0 \n", + "30524624502 1 1 \n", + "30524624503 0 0 \n", + "30524624504 0 0 \n", + "30524624505 0 0 \n", + "30524624506 0 0 \n", "\n", " util_full_time_worker_mixed_party \\\n", "participant_id \n", - "778529801 0.0 \n", - "778529802 0.0 \n", - "870845401 0.0 \n", - "870845402 0.0 \n", - "971500601 0.0 \n", + "785368601 0.0 \n", + "785368602 0.0 \n", + "790231801 0.0 \n", + "790231802 0.0 \n", + "790977601 0.0 \n", "... ... \n", - "29881474102 0.0 \n", - "30181098001 0.0 \n", - "30181098002 0.0 \n", - "30181098003 0.0 \n", - "30181098004 0.0 \n", + "30524624502 1.0 \n", + "30524624503 0.0 \n", + "30524624504 0.0 \n", + "30524624505 0.0 \n", + "30524624506 0.0 \n", "\n", " util_part_time_worker_adults_only_party \\\n", "participant_id \n", - 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"29881474102 False False False \n", - "30181098001 False False False \n", - "30181098002 False False False \n", - "30181098003 False False False \n", - "30181098004 False False False \n", + "30524624502 False False False \n", + "30524624503 False False False \n", + "30524624504 False False False \n", + "30524624505 False False False \n", + "30524624506 True False False \n", "\n", " tour_composition_is_adults tour_composition_is_children \\\n", "participant_id \n", - "778529801 True False \n", - "778529802 True False \n", - "870845401 True False \n", - "870845402 True False \n", - "971500601 True False \n", + "785368601 True False \n", + "785368602 True False \n", + "790231801 True False \n", + "790231802 True False \n", + "790977601 True False \n", "... ... ... \n", - "29881474102 True False \n", - "30181098001 True False \n", - "30181098002 True False \n", - "30181098003 True False \n", - "30181098004 True False \n", + "30524624502 False False \n", + "30524624503 False False \n", + "30524624504 False False \n", + "30524624505 False False \n", + "30524624506 False False \n", "\n", " tour_composition_is_mixed home_is_suburban high_income \\\n", "participant_id \n", - 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"29881474102 False 1 \n", - "30181098001 False 2 \n", - "30181098002 False 1 \n", - "30181098003 False 1 \n", - "30181098004 False 1 \n", + "30524624502 False 2 \n", + "30524624503 False 1 \n", + "30524624504 False 1 \n", + "30524624505 False 1 \n", + "30524624506 False 1 \n", "\n", - "[304 rows x 226 columns]" + "[4500 rows x 226 columns]" ] }, "execution_count": 6, @@ -1271,17 +1334,10 @@ "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 112 [Optimization terminated successfully]

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Iteration 080 [Optimization terminated successfully]

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Best LL = -61.383086448632596

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Best LL = -1240.495238444391

" ], "text/plain": [ "" @@ -1324,913 +1380,867 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_adult_log_of_max_window_overlap_with_a_child_mixed\n", - " 4.595737\n", + " 2.125116\n", + " 2.125116\n", " 2.18900\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4.595737\n", " \n", " \n", " coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party\n", - " 1.692145\n", + " 1.280678\n", + " 1.280678\n", " 0.84360\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.692145\n", " \n", " \n", " coef_adult_more_automobiles_than_workers_adult_only_party\n", - " 0.311671\n", + " 0.121220\n", + " 0.121220\n", " -0.21330\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.311671\n", " \n", " \n", " coef_adult_more_automobiles_than_workers_mixed_party\n", - " -1.827740\n", + " -0.591966\n", + " -0.591966\n", " -0.60310\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.827740\n", " \n", " \n", " coef_adult_number_of_joint_tours_adult_only\n", - " -2.134054\n", + " -0.794091\n", + " -0.794091\n", " -0.32420\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.134054\n", " \n", " \n", " coef_adult_number_of_joint_tours_mixed\n", - " -28.572220\n", + " -1.417451\n", + " -1.417451\n", " -0.35840\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -28.572220\n", " \n", " \n", " coef_adult_number_of_other_adults_in_the_household_adults_only_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_adult_number_of_other_adults_in_the_household_mixed_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_child_log_of_max_window_overlap_with_a_child_child\n", - " 1.275585\n", + " 1.296000\n", + " 1.296000\n", " 1.29600\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.275585\n", " \n", " \n", " coef_child_log_of_max_window_overlap_with_an_adult_mixed\n", - " 1.539267\n", + " 1.538000\n", + " 1.538000\n", " 1.53800\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.539267\n", " \n", " \n", " coef_child_more_automobiles_than_workers_child_only_party\n", - " -0.394683\n", + " -0.421400\n", + " -0.421400\n", " -0.42140\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.394683\n", " \n", " \n", " coef_child_more_automobiles_than_workers_mixed_party\n", - " -1.551914\n", + " -0.366466\n", + " -0.366466\n", " -0.37760\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.551914\n", " \n", " \n", " coef_child_number_of_joint_tours_child_only\n", - " 4.977604\n", + " 0.866122\n", + " 0.866122\n", " 0.10470\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4.977604\n", " \n", " \n", " coef_child_number_of_joint_tours_mixed\n", - " 17.894892\n", + " -0.261747\n", + " -0.261747\n", " -0.50890\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 17.894892\n", " \n", " \n", " coef_child_number_of_other_children_in_the_household_child_only_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_child_number_of_other_children_in_the_household_mixed\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_child_too_young_for_school_children_only_party\n", - " -2.785631\n", + " -1.149596\n", + " -1.149596\n", " -2.78600\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.785631\n", " \n", " \n", " coef_child_too_young_for_school_mixed_party\n", - " 2.069934\n", + " 0.197836\n", + " 0.197836\n", " -1.89300\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.069934\n", " \n", " \n", " coef_child_too_young_for_school_specific_to_discretionary_joint_tours\n", - " 0.128371\n", + " 0.128400\n", + " 0.128400\n", " 0.12840\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.128371\n", " \n", " \n", " coef_child_too_young_for_school_specific_to_eating_out_joint_tours\n", - " 0.658655\n", + " 0.658900\n", + " 0.658900\n", " 0.65890\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.658655\n", " \n", " \n", " coef_driving_age_student_children_only_party\n", - " -1.822000\n", + " -2.120496\n", + " -2.120496\n", " -1.82200\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.822000\n", " \n", " \n", " coef_driving_age_student_mixed_party\n", - " -28.998969\n", + " 0.322986\n", + " 0.322986\n", " -1.35300\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -28.998969\n", " \n", " \n", " coef_driving_age_student_specific_to_discretionary_joint_tours\n", " -0.667500\n", + " -0.667500\n", " -0.66750\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.667500\n", " \n", " \n", " coef_driving_age_student_specific_to_eating_out_joint_tours\n", " 2.344000\n", + " 2.344000\n", " 2.34400\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.344000\n", " \n", " \n", " coef_dummy_for_high_income_for_adult_in_adult_party\n", - " 0.131783\n", + " -0.068202\n", + " -0.068202\n", " -0.16820\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.131783\n", " \n", " \n", " coef_dummy_for_high_income_for_adult_in_mixed_party\n", - " -0.378918\n", + " 0.112930\n", + " 0.112930\n", " -0.02613\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.378918\n", " \n", " \n", " coef_dummy_for_high_income_for_child_in_children_party\n", - " -0.561900\n", + " -0.211892\n", + " -0.211892\n", " -0.56190\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.561900\n", " \n", " \n", " coef_dummy_for_high_income_for_child_in_mixed_party\n", - " -0.513571\n", + " -0.013740\n", + " -0.013740\n", " -0.15280\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.513571\n", " \n", " \n", " coef_full_time_worker_mixed_party\n", - " -957.202749\n", + " -3.527365\n", + " -3.527365\n", " -3.56600\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -957.202749\n", " \n", " \n", " coef_full_time_worker_mixed_party_not\n", " 0.500000\n", + " 0.500000\n", " 0.50000\n", + " 0.5\n", + " 0.5\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " 0.500000\n", " \n", " \n", " coef_full_time_worker_specific_to_discretionary_joint_tours\n", " 0.439200\n", + " 0.439200\n", " 0.43920\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.439200\n", " \n", " \n", " coef_full_time_worker_specific_to_discretionary_joint_tours_not\n", " 0.500000\n", + " 0.500000\n", " 0.50000\n", + " 0.5\n", + " 0.5\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " 0.500000\n", " \n", " \n", " coef_full_time_worker_specific_to_eating_out_joint_tours\n", " 0.715700\n", + " 0.715700\n", " 0.71570\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.715700\n", " \n", " \n", " coef_full_time_worker_specific_to_eating_out_joint_tours_not\n", " 0.500000\n", + " 0.500000\n", " 0.50000\n", + " 0.5\n", + " 0.5\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " 0.500000\n", " \n", " \n", " coef_household_in_suburban_area_adult_adult_only_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_household_in_suburban_area_adult_mixed_party\n", - " -0.060070\n", + " 1.239881\n", + " 1.239881\n", " -0.06007\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.060070\n", " \n", " \n", " coef_household_in_suburban_area_child_child_only_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_household_in_suburban_area_child_mixed_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_household_in_urban_area_adult_adult_only_party\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_household_in_urban_area_adult_mixed_party\n", - " 978.504490\n", + " 1.204039\n", + " 1.204039\n", " -0.13700\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 978.504490\n", " \n", " \n", " coef_household_in_urban_area_child_child_only_party\n", - " 6.082784\n", + " -0.145369\n", + " -0.145369\n", " 1.21000\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 6.082784\n", " \n", " \n", " coef_household_in_urban_area_child_mixed_party\n", - " -19.290030\n", + " -0.138857\n", + " -0.138857\n", " 0.62650\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -19.290030\n", " \n", " \n", " coef_non_worker_adults_only_party\n", - " -4.080384\n", + " -3.161945\n", + " -3.161945\n", " -3.16400\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.080384\n", " \n", " \n", " coef_non_worker_mixed_party\n", - " -125.288137\n", + " 1.059162\n", + " 1.059162\n", " 0.71520\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -125.288137\n", " \n", " \n", " coef_non_worker_specific_to_discretionary_joint_tours\n", " -0.183500\n", + " -0.183500\n", " -0.18350\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.183500\n", " \n", " \n", " coef_non_worker_specific_to_eating_out_joint_tours\n", " 0.161700\n", + " 0.161700\n", " 0.16170\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.161700\n", " \n", " \n", " coef_part_time_worker_adults_only_party\n", - " -3.248302\n", + " -3.631928\n", + " -3.631928\n", " -3.56600\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3.248302\n", " \n", " \n", " coef_part_time_worker_adults_only_party_not\n", " 0.500000\n", + " 0.500000\n", " 0.50000\n", + " 0.5\n", + " 0.5\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " 0.500000\n", " \n", " \n", " coef_part_time_worker_mixed_party\n", - " 2254.660944\n", + " -0.447984\n", + " -0.447984\n", " -0.36550\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2254.660944\n", " \n", " \n", " coef_part_time_worker_specific_to_discretionary_joint_tours\n", " 0.285000\n", + " 0.285000\n", " 0.28500\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.285000\n", " \n", " \n", " coef_part_time_worker_specific_to_eating_out_joint_tours\n", " 2.188000\n", + " 2.188000\n", " 2.18800\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.188000\n", " \n", " \n", " coef_pre_driving_age_student_children_only_party\n", - " 4.151085\n", + " 0.991812\n", + " 0.991812\n", " -0.72170\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4.151085\n", " \n", " \n", " coef_pre_driving_age_student_mixed_party\n", - " 2.007228\n", + " -0.073175\n", + " -0.073175\n", " -1.75200\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.007228\n", " \n", " \n", " coef_pre_driving_age_student_specific_to_discretionary_joint_tours\n", " 0.662600\n", + " 0.662600\n", " 0.66260\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.662600\n", " \n", " \n", " coef_pre_driving_age_student_specific_to_eating_out_joint_tours\n", " 1.391000\n", + " 1.391000\n", " 1.39100\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.391000\n", " \n", " \n", " coef_unavailable\n", " -999.000000\n", + " -999.000000\n", " -999.00000\n", + " -999.0\n", + " -999.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_university_student_mixed_party\n", - " -958.612314\n", + " -2.902637\n", + " -2.902637\n", " -3.04100\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -958.612314\n", " \n", " \n", " coef_university_student_specific_to_discretionary_joint_tours\n", " 0.000000\n", + " 0.000000\n", " 0.00000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_university_student_specific_to_eating_out_joint_tours\n", " -0.820000\n", + " -0.820000\n", " -0.82000\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.820000\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_adult_log_of_max_window_overlap_with_a_chi... 4.595737 2.18900 \n", - "coef_adult_log_of_max_window_overlap_with_an_ad... 1.692145 0.84360 \n", - "coef_adult_more_automobiles_than_workers_adult_... 0.311671 -0.21330 \n", - "coef_adult_more_automobiles_than_workers_mixed_... -1.827740 -0.60310 \n", - "coef_adult_number_of_joint_tours_adult_only -2.134054 -0.32420 \n", - "coef_adult_number_of_joint_tours_mixed -28.572220 -0.35840 \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.000000 0.00000 \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.000000 0.00000 \n", - "coef_child_log_of_max_window_overlap_with_a_chi... 1.275585 1.29600 \n", - "coef_child_log_of_max_window_overlap_with_an_ad... 1.539267 1.53800 \n", - "coef_child_more_automobiles_than_workers_child_... -0.394683 -0.42140 \n", - "coef_child_more_automobiles_than_workers_mixed_... -1.551914 -0.37760 \n", - "coef_child_number_of_joint_tours_child_only 4.977604 0.10470 \n", - "coef_child_number_of_joint_tours_mixed 17.894892 -0.50890 \n", - "coef_child_number_of_other_children_in_the_hous... 0.000000 0.00000 \n", - "coef_child_number_of_other_children_in_the_hous... 0.000000 0.00000 \n", - "coef_child_too_young_for_school_children_only_p... -2.785631 -2.78600 \n", - "coef_child_too_young_for_school_mixed_party 2.069934 -1.89300 \n", - "coef_child_too_young_for_school_specific_to_dis... 0.128371 0.12840 \n", - "coef_child_too_young_for_school_specific_to_eat... 0.658655 0.65890 \n", - "coef_driving_age_student_children_only_party -1.822000 -1.82200 \n", - "coef_driving_age_student_mixed_party -28.998969 -1.35300 \n", - "coef_driving_age_student_specific_to_discretion... -0.667500 -0.66750 \n", - "coef_driving_age_student_specific_to_eating_out... 2.344000 2.34400 \n", - "coef_dummy_for_high_income_for_adult_in_adult_p... 0.131783 -0.16820 \n", - "coef_dummy_for_high_income_for_adult_in_mixed_p... -0.378918 -0.02613 \n", - "coef_dummy_for_high_income_for_child_in_childre... -0.561900 -0.56190 \n", - "coef_dummy_for_high_income_for_child_in_mixed_p... -0.513571 -0.15280 \n", - "coef_full_time_worker_mixed_party -957.202749 -3.56600 \n", - "coef_full_time_worker_mixed_party_not 0.500000 0.50000 \n", - "coef_full_time_worker_specific_to_discretionary... 0.439200 0.43920 \n", - "coef_full_time_worker_specific_to_discretionary... 0.500000 0.50000 \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.715700 0.71570 \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.500000 0.50000 \n", - "coef_household_in_suburban_area_adult_adult_onl... 0.000000 0.00000 \n", - "coef_household_in_suburban_area_adult_mixed_party -0.060070 -0.06007 \n", - "coef_household_in_suburban_area_child_child_onl... 0.000000 0.00000 \n", - "coef_household_in_suburban_area_child_mixed_party 0.000000 0.00000 \n", - "coef_household_in_urban_area_adult_adult_only_p... 0.000000 0.00000 \n", - "coef_household_in_urban_area_adult_mixed_party 978.504490 -0.13700 \n", - "coef_household_in_urban_area_child_child_only_p... 6.082784 1.21000 \n", - "coef_household_in_urban_area_child_mixed_party -19.290030 0.62650 \n", - "coef_non_worker_adults_only_party -4.080384 -3.16400 \n", - "coef_non_worker_mixed_party -125.288137 0.71520 \n", - "coef_non_worker_specific_to_discretionary_joint... -0.183500 -0.18350 \n", - "coef_non_worker_specific_to_eating_out_joint_tours 0.161700 0.16170 \n", - "coef_part_time_worker_adults_only_party -3.248302 -3.56600 \n", - "coef_part_time_worker_adults_only_party_not 0.500000 0.50000 \n", - "coef_part_time_worker_mixed_party 2254.660944 -0.36550 \n", - "coef_part_time_worker_specific_to_discretionary... 0.285000 0.28500 \n", - "coef_part_time_worker_specific_to_eating_out_jo... 2.188000 2.18800 \n", - "coef_pre_driving_age_student_children_only_party 4.151085 -0.72170 \n", - "coef_pre_driving_age_student_mixed_party 2.007228 -1.75200 \n", - "coef_pre_driving_age_student_specific_to_discre... 0.662600 0.66260 \n", - "coef_pre_driving_age_student_specific_to_eating... 1.391000 1.39100 \n", - "coef_unavailable -999.000000 -999.00000 \n", - "coef_university_student_mixed_party -958.612314 -3.04100 \n", - "coef_university_student_specific_to_discretiona... 0.000000 0.00000 \n", - "coef_university_student_specific_to_eating_out_... -0.820000 -0.82000 \n", + " value best \\\n", + "param_name \n", + "coef_adult_log_of_max_window_overlap_with_a_chi... 2.125116 2.125116 \n", + "coef_adult_log_of_max_window_overlap_with_an_ad... 1.280678 1.280678 \n", + "coef_adult_more_automobiles_than_workers_adult_... 0.121220 0.121220 \n", + "coef_adult_more_automobiles_than_workers_mixed_... -0.591966 -0.591966 \n", + "coef_adult_number_of_joint_tours_adult_only -0.794091 -0.794091 \n", + "coef_adult_number_of_joint_tours_mixed -1.417451 -1.417451 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.000000 0.000000 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.000000 0.000000 \n", + "coef_child_log_of_max_window_overlap_with_a_chi... 1.296000 1.296000 \n", + "coef_child_log_of_max_window_overlap_with_an_ad... 1.538000 1.538000 \n", + "coef_child_more_automobiles_than_workers_child_... -0.421400 -0.421400 \n", + "coef_child_more_automobiles_than_workers_mixed_... -0.366466 -0.366466 \n", + "coef_child_number_of_joint_tours_child_only 0.866122 0.866122 \n", + "coef_child_number_of_joint_tours_mixed -0.261747 -0.261747 \n", + "coef_child_number_of_other_children_in_the_hous... 0.000000 0.000000 \n", + "coef_child_number_of_other_children_in_the_hous... 0.000000 0.000000 \n", + "coef_child_too_young_for_school_children_only_p... -1.149596 -1.149596 \n", + "coef_child_too_young_for_school_mixed_party 0.197836 0.197836 \n", + "coef_child_too_young_for_school_specific_to_dis... 0.128400 0.128400 \n", + "coef_child_too_young_for_school_specific_to_eat... 0.658900 0.658900 \n", + "coef_driving_age_student_children_only_party -2.120496 -2.120496 \n", + "coef_driving_age_student_mixed_party 0.322986 0.322986 \n", + "coef_driving_age_student_specific_to_discretion... -0.667500 -0.667500 \n", + "coef_driving_age_student_specific_to_eating_out... 2.344000 2.344000 \n", + "coef_dummy_for_high_income_for_adult_in_adult_p... -0.068202 -0.068202 \n", + "coef_dummy_for_high_income_for_adult_in_mixed_p... 0.112930 0.112930 \n", + "coef_dummy_for_high_income_for_child_in_childre... -0.211892 -0.211892 \n", + "coef_dummy_for_high_income_for_child_in_mixed_p... -0.013740 -0.013740 \n", + "coef_full_time_worker_mixed_party -3.527365 -3.527365 \n", + "coef_full_time_worker_mixed_party_not 0.500000 0.500000 \n", + "coef_full_time_worker_specific_to_discretionary... 0.439200 0.439200 \n", + "coef_full_time_worker_specific_to_discretionary... 0.500000 0.500000 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0.715700 0.715700 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0.500000 0.500000 \n", + "coef_household_in_suburban_area_adult_adult_onl... 0.000000 0.000000 \n", + "coef_household_in_suburban_area_adult_mixed_party 1.239881 1.239881 \n", + "coef_household_in_suburban_area_child_child_onl... 0.000000 0.000000 \n", + "coef_household_in_suburban_area_child_mixed_party 0.000000 0.000000 \n", + "coef_household_in_urban_area_adult_adult_only_p... 0.000000 0.000000 \n", + "coef_household_in_urban_area_adult_mixed_party 1.204039 1.204039 \n", + "coef_household_in_urban_area_child_child_only_p... -0.145369 -0.145369 \n", + "coef_household_in_urban_area_child_mixed_party -0.138857 -0.138857 \n", + "coef_non_worker_adults_only_party -3.161945 -3.161945 \n", + "coef_non_worker_mixed_party 1.059162 1.059162 \n", + "coef_non_worker_specific_to_discretionary_joint... -0.183500 -0.183500 \n", + "coef_non_worker_specific_to_eating_out_joint_tours 0.161700 0.161700 \n", + "coef_part_time_worker_adults_only_party -3.631928 -3.631928 \n", + "coef_part_time_worker_adults_only_party_not 0.500000 0.500000 \n", + "coef_part_time_worker_mixed_party -0.447984 -0.447984 \n", + "coef_part_time_worker_specific_to_discretionary... 0.285000 0.285000 \n", + "coef_part_time_worker_specific_to_eating_out_jo... 2.188000 2.188000 \n", + "coef_pre_driving_age_student_children_only_party 0.991812 0.991812 \n", + "coef_pre_driving_age_student_mixed_party -0.073175 -0.073175 \n", + "coef_pre_driving_age_student_specific_to_discre... 0.662600 0.662600 \n", + "coef_pre_driving_age_student_specific_to_eating... 1.391000 1.391000 \n", + "coef_unavailable -999.000000 -999.000000 \n", + "coef_university_student_mixed_party -2.902637 -2.902637 \n", + "coef_university_student_specific_to_discretiona... 0.000000 0.000000 \n", + "coef_university_student_specific_to_eating_out_... -0.820000 -0.820000 \n", "\n", - " nullvalue minimum \\\n", - "coef_adult_log_of_max_window_overlap_with_a_chi... 0.0 NaN \n", - "coef_adult_log_of_max_window_overlap_with_an_ad... 0.0 NaN \n", - "coef_adult_more_automobiles_than_workers_adult_... 0.0 NaN \n", - "coef_adult_more_automobiles_than_workers_mixed_... 0.0 NaN \n", - "coef_adult_number_of_joint_tours_adult_only 0.0 NaN \n", - "coef_adult_number_of_joint_tours_mixed 0.0 NaN \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.0 NaN \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.0 NaN \n", - "coef_child_log_of_max_window_overlap_with_a_chi... 0.0 NaN \n", - "coef_child_log_of_max_window_overlap_with_an_ad... 0.0 NaN \n", - "coef_child_more_automobiles_than_workers_child_... 0.0 NaN \n", - "coef_child_more_automobiles_than_workers_mixed_... 0.0 NaN \n", - "coef_child_number_of_joint_tours_child_only 0.0 NaN \n", - "coef_child_number_of_joint_tours_mixed 0.0 NaN \n", - "coef_child_number_of_other_children_in_the_hous... 0.0 NaN \n", - "coef_child_number_of_other_children_in_the_hous... 0.0 NaN \n", - "coef_child_too_young_for_school_children_only_p... 0.0 NaN \n", - "coef_child_too_young_for_school_mixed_party 0.0 NaN \n", - "coef_child_too_young_for_school_specific_to_dis... 0.0 NaN \n", - "coef_child_too_young_for_school_specific_to_eat... 0.0 NaN \n", - "coef_driving_age_student_children_only_party 0.0 NaN \n", - "coef_driving_age_student_mixed_party 0.0 NaN \n", - "coef_driving_age_student_specific_to_discretion... 0.0 NaN \n", - "coef_driving_age_student_specific_to_eating_out... 0.0 NaN \n", - "coef_dummy_for_high_income_for_adult_in_adult_p... 0.0 NaN \n", - "coef_dummy_for_high_income_for_adult_in_mixed_p... 0.0 NaN \n", - "coef_dummy_for_high_income_for_child_in_childre... 0.0 NaN \n", - "coef_dummy_for_high_income_for_child_in_mixed_p... 0.0 NaN \n", - "coef_full_time_worker_mixed_party 0.0 NaN \n", - "coef_full_time_worker_mixed_party_not 0.0 NaN \n", - "coef_full_time_worker_specific_to_discretionary... 0.0 NaN \n", - "coef_full_time_worker_specific_to_discretionary... 0.0 NaN \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.0 NaN \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.0 NaN \n", - "coef_household_in_suburban_area_adult_adult_onl... 0.0 NaN \n", - "coef_household_in_suburban_area_adult_mixed_party 0.0 NaN \n", - "coef_household_in_suburban_area_child_child_onl... 0.0 NaN \n", - "coef_household_in_suburban_area_child_mixed_party 0.0 NaN \n", - "coef_household_in_urban_area_adult_adult_only_p... 0.0 NaN \n", - "coef_household_in_urban_area_adult_mixed_party 0.0 NaN \n", - "coef_household_in_urban_area_child_child_only_p... 0.0 NaN \n", - "coef_household_in_urban_area_child_mixed_party 0.0 NaN \n", - "coef_non_worker_adults_only_party 0.0 NaN \n", - "coef_non_worker_mixed_party 0.0 NaN \n", - "coef_non_worker_specific_to_discretionary_joint... 0.0 NaN \n", - "coef_non_worker_specific_to_eating_out_joint_tours 0.0 NaN \n", - "coef_part_time_worker_adults_only_party 0.0 NaN \n", - "coef_part_time_worker_adults_only_party_not 0.0 NaN \n", - "coef_part_time_worker_mixed_party 0.0 NaN \n", - "coef_part_time_worker_specific_to_discretionary... 0.0 NaN \n", - "coef_part_time_worker_specific_to_eating_out_jo... 0.0 NaN \n", - "coef_pre_driving_age_student_children_only_party 0.0 NaN \n", - "coef_pre_driving_age_student_mixed_party 0.0 NaN \n", - "coef_pre_driving_age_student_specific_to_discre... 0.0 NaN \n", - "coef_pre_driving_age_student_specific_to_eating... 0.0 NaN \n", - "coef_unavailable 0.0 NaN \n", - "coef_university_student_mixed_party 0.0 NaN \n", - "coef_university_student_specific_to_discretiona... 0.0 NaN \n", - "coef_university_student_specific_to_eating_out_... 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_adult_log_of_max_window_overlap_with_a_chi... 2.18900 -50.0 \n", + "coef_adult_log_of_max_window_overlap_with_an_ad... 0.84360 -50.0 \n", + "coef_adult_more_automobiles_than_workers_adult_... -0.21330 -50.0 \n", + "coef_adult_more_automobiles_than_workers_mixed_... -0.60310 -50.0 \n", + "coef_adult_number_of_joint_tours_adult_only -0.32420 -50.0 \n", + "coef_adult_number_of_joint_tours_mixed -0.35840 -50.0 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.00000 0.0 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.00000 0.0 \n", + "coef_child_log_of_max_window_overlap_with_a_chi... 1.29600 -50.0 \n", + "coef_child_log_of_max_window_overlap_with_an_ad... 1.53800 -50.0 \n", + "coef_child_more_automobiles_than_workers_child_... -0.42140 -50.0 \n", + "coef_child_more_automobiles_than_workers_mixed_... -0.37760 -50.0 \n", + "coef_child_number_of_joint_tours_child_only 0.10470 -50.0 \n", + "coef_child_number_of_joint_tours_mixed -0.50890 -50.0 \n", + "coef_child_number_of_other_children_in_the_hous... 0.00000 0.0 \n", + "coef_child_number_of_other_children_in_the_hous... 0.00000 0.0 \n", + "coef_child_too_young_for_school_children_only_p... -2.78600 -50.0 \n", + "coef_child_too_young_for_school_mixed_party -1.89300 -50.0 \n", + "coef_child_too_young_for_school_specific_to_dis... 0.12840 -50.0 \n", + "coef_child_too_young_for_school_specific_to_eat... 0.65890 -50.0 \n", + "coef_driving_age_student_children_only_party -1.82200 -50.0 \n", + "coef_driving_age_student_mixed_party -1.35300 -50.0 \n", + "coef_driving_age_student_specific_to_discretion... -0.66750 -50.0 \n", + "coef_driving_age_student_specific_to_eating_out... 2.34400 -50.0 \n", + "coef_dummy_for_high_income_for_adult_in_adult_p... -0.16820 -50.0 \n", + "coef_dummy_for_high_income_for_adult_in_mixed_p... -0.02613 -50.0 \n", + "coef_dummy_for_high_income_for_child_in_childre... -0.56190 -50.0 \n", + "coef_dummy_for_high_income_for_child_in_mixed_p... -0.15280 -50.0 \n", + "coef_full_time_worker_mixed_party -3.56600 -50.0 \n", + "coef_full_time_worker_mixed_party_not 0.50000 0.5 \n", + "coef_full_time_worker_specific_to_discretionary... 0.43920 -50.0 \n", + "coef_full_time_worker_specific_to_discretionary... 0.50000 0.5 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0.71570 -50.0 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0.50000 0.5 \n", + "coef_household_in_suburban_area_adult_adult_onl... 0.00000 0.0 \n", + "coef_household_in_suburban_area_adult_mixed_party -0.06007 -50.0 \n", + "coef_household_in_suburban_area_child_child_onl... 0.00000 0.0 \n", + "coef_household_in_suburban_area_child_mixed_party 0.00000 0.0 \n", + "coef_household_in_urban_area_adult_adult_only_p... 0.00000 0.0 \n", + "coef_household_in_urban_area_adult_mixed_party -0.13700 -50.0 \n", + "coef_household_in_urban_area_child_child_only_p... 1.21000 -50.0 \n", + "coef_household_in_urban_area_child_mixed_party 0.62650 -50.0 \n", + "coef_non_worker_adults_only_party -3.16400 -50.0 \n", + "coef_non_worker_mixed_party 0.71520 -50.0 \n", + "coef_non_worker_specific_to_discretionary_joint... -0.18350 -50.0 \n", + "coef_non_worker_specific_to_eating_out_joint_tours 0.16170 -50.0 \n", + "coef_part_time_worker_adults_only_party -3.56600 -50.0 \n", + "coef_part_time_worker_adults_only_party_not 0.50000 0.5 \n", + "coef_part_time_worker_mixed_party -0.36550 -50.0 \n", + "coef_part_time_worker_specific_to_discretionary... 0.28500 -50.0 \n", + "coef_part_time_worker_specific_to_eating_out_jo... 2.18800 -50.0 \n", + "coef_pre_driving_age_student_children_only_party -0.72170 -50.0 \n", + "coef_pre_driving_age_student_mixed_party -1.75200 -50.0 \n", + "coef_pre_driving_age_student_specific_to_discre... 0.66260 -50.0 \n", + "coef_pre_driving_age_student_specific_to_eating... 1.39100 -50.0 \n", + "coef_unavailable -999.00000 -999.0 \n", + "coef_university_student_mixed_party -3.04100 -50.0 \n", + "coef_university_student_specific_to_discretiona... 0.00000 0.0 \n", + "coef_university_student_specific_to_eating_out_... -0.82000 -50.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_adult_log_of_max_window_overlap_with_a_chi... NaN 0 \n", - "coef_adult_log_of_max_window_overlap_with_an_ad... NaN 0 \n", - "coef_adult_more_automobiles_than_workers_adult_... NaN 0 \n", - "coef_adult_more_automobiles_than_workers_mixed_... NaN 0 \n", - "coef_adult_number_of_joint_tours_adult_only NaN 0 \n", - "coef_adult_number_of_joint_tours_mixed NaN 0 \n", - "coef_adult_number_of_other_adults_in_the_househ... NaN 1 \n", - "coef_adult_number_of_other_adults_in_the_househ... NaN 1 \n", - "coef_child_log_of_max_window_overlap_with_a_chi... NaN 0 \n", - "coef_child_log_of_max_window_overlap_with_an_ad... NaN 0 \n", - "coef_child_more_automobiles_than_workers_child_... NaN 0 \n", - "coef_child_more_automobiles_than_workers_mixed_... NaN 0 \n", - "coef_child_number_of_joint_tours_child_only NaN 0 \n", - "coef_child_number_of_joint_tours_mixed NaN 0 \n", - "coef_child_number_of_other_children_in_the_hous... NaN 1 \n", - "coef_child_number_of_other_children_in_the_hous... NaN 1 \n", - "coef_child_too_young_for_school_children_only_p... NaN 0 \n", - "coef_child_too_young_for_school_mixed_party NaN 0 \n", - "coef_child_too_young_for_school_specific_to_dis... NaN 0 \n", - "coef_child_too_young_for_school_specific_to_eat... NaN 0 \n", - "coef_driving_age_student_children_only_party NaN 0 \n", - "coef_driving_age_student_mixed_party NaN 0 \n", - "coef_driving_age_student_specific_to_discretion... NaN 0 \n", - "coef_driving_age_student_specific_to_eating_out... NaN 0 \n", - "coef_dummy_for_high_income_for_adult_in_adult_p... NaN 0 \n", - "coef_dummy_for_high_income_for_adult_in_mixed_p... NaN 0 \n", - "coef_dummy_for_high_income_for_child_in_childre... NaN 0 \n", - "coef_dummy_for_high_income_for_child_in_mixed_p... NaN 0 \n", - "coef_full_time_worker_mixed_party NaN 0 \n", - "coef_full_time_worker_mixed_party_not NaN 1 \n", - "coef_full_time_worker_specific_to_discretionary... NaN 0 \n", - "coef_full_time_worker_specific_to_discretionary... NaN 1 \n", - "coef_full_time_worker_specific_to_eating_out_jo... NaN 0 \n", - "coef_full_time_worker_specific_to_eating_out_jo... NaN 1 \n", - "coef_household_in_suburban_area_adult_adult_onl... NaN 1 \n", - "coef_household_in_suburban_area_adult_mixed_party NaN 0 \n", - "coef_household_in_suburban_area_child_child_onl... NaN 1 \n", - "coef_household_in_suburban_area_child_mixed_party NaN 1 \n", - "coef_household_in_urban_area_adult_adult_only_p... NaN 1 \n", - "coef_household_in_urban_area_adult_mixed_party NaN 0 \n", - "coef_household_in_urban_area_child_child_only_p... NaN 0 \n", - "coef_household_in_urban_area_child_mixed_party NaN 0 \n", - "coef_non_worker_adults_only_party NaN 0 \n", - "coef_non_worker_mixed_party NaN 0 \n", - "coef_non_worker_specific_to_discretionary_joint... NaN 0 \n", - "coef_non_worker_specific_to_eating_out_joint_tours NaN 0 \n", - "coef_part_time_worker_adults_only_party NaN 0 \n", - "coef_part_time_worker_adults_only_party_not NaN 1 \n", - "coef_part_time_worker_mixed_party NaN 0 \n", - "coef_part_time_worker_specific_to_discretionary... NaN 0 \n", - "coef_part_time_worker_specific_to_eating_out_jo... NaN 0 \n", - "coef_pre_driving_age_student_children_only_party NaN 0 \n", - "coef_pre_driving_age_student_mixed_party NaN 0 \n", - "coef_pre_driving_age_student_specific_to_discre... NaN 0 \n", - "coef_pre_driving_age_student_specific_to_eating... NaN 0 \n", - "coef_unavailable NaN 1 \n", - "coef_university_student_mixed_party NaN 0 \n", - "coef_university_student_specific_to_discretiona... NaN 1 \n", - "coef_university_student_specific_to_eating_out_... NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_adult_log_of_max_window_overlap_with_a_chi... 50.0 0.0 \n", + "coef_adult_log_of_max_window_overlap_with_an_ad... 50.0 0.0 \n", + "coef_adult_more_automobiles_than_workers_adult_... 50.0 0.0 \n", + "coef_adult_more_automobiles_than_workers_mixed_... 50.0 0.0 \n", + "coef_adult_number_of_joint_tours_adult_only 50.0 0.0 \n", + "coef_adult_number_of_joint_tours_mixed 50.0 0.0 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.0 0.0 \n", + "coef_adult_number_of_other_adults_in_the_househ... 0.0 0.0 \n", + "coef_child_log_of_max_window_overlap_with_a_chi... 50.0 0.0 \n", + "coef_child_log_of_max_window_overlap_with_an_ad... 50.0 0.0 \n", + "coef_child_more_automobiles_than_workers_child_... 50.0 0.0 \n", + "coef_child_more_automobiles_than_workers_mixed_... 50.0 0.0 \n", + "coef_child_number_of_joint_tours_child_only 50.0 0.0 \n", + "coef_child_number_of_joint_tours_mixed 50.0 0.0 \n", + "coef_child_number_of_other_children_in_the_hous... 0.0 0.0 \n", + "coef_child_number_of_other_children_in_the_hous... 0.0 0.0 \n", + "coef_child_too_young_for_school_children_only_p... 50.0 0.0 \n", + "coef_child_too_young_for_school_mixed_party 50.0 0.0 \n", + "coef_child_too_young_for_school_specific_to_dis... 50.0 0.0 \n", + "coef_child_too_young_for_school_specific_to_eat... 50.0 0.0 \n", + "coef_driving_age_student_children_only_party 50.0 0.0 \n", + "coef_driving_age_student_mixed_party 50.0 0.0 \n", + "coef_driving_age_student_specific_to_discretion... 50.0 0.0 \n", + "coef_driving_age_student_specific_to_eating_out... 50.0 0.0 \n", + "coef_dummy_for_high_income_for_adult_in_adult_p... 50.0 0.0 \n", + "coef_dummy_for_high_income_for_adult_in_mixed_p... 50.0 0.0 \n", + "coef_dummy_for_high_income_for_child_in_childre... 50.0 0.0 \n", + "coef_dummy_for_high_income_for_child_in_mixed_p... 50.0 0.0 \n", + "coef_full_time_worker_mixed_party 50.0 0.0 \n", + "coef_full_time_worker_mixed_party_not 0.5 0.0 \n", + "coef_full_time_worker_specific_to_discretionary... 50.0 0.0 \n", + "coef_full_time_worker_specific_to_discretionary... 0.5 0.0 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 50.0 0.0 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0.5 0.0 \n", + "coef_household_in_suburban_area_adult_adult_onl... 0.0 0.0 \n", + "coef_household_in_suburban_area_adult_mixed_party 50.0 0.0 \n", + "coef_household_in_suburban_area_child_child_onl... 0.0 0.0 \n", + "coef_household_in_suburban_area_child_mixed_party 0.0 0.0 \n", + "coef_household_in_urban_area_adult_adult_only_p... 0.0 0.0 \n", + "coef_household_in_urban_area_adult_mixed_party 50.0 0.0 \n", + "coef_household_in_urban_area_child_child_only_p... 50.0 0.0 \n", + "coef_household_in_urban_area_child_mixed_party 50.0 0.0 \n", + "coef_non_worker_adults_only_party 50.0 0.0 \n", + "coef_non_worker_mixed_party 50.0 0.0 \n", + "coef_non_worker_specific_to_discretionary_joint... 50.0 0.0 \n", + "coef_non_worker_specific_to_eating_out_joint_tours 50.0 0.0 \n", + "coef_part_time_worker_adults_only_party 50.0 0.0 \n", + "coef_part_time_worker_adults_only_party_not 0.5 0.0 \n", + "coef_part_time_worker_mixed_party 50.0 0.0 \n", + "coef_part_time_worker_specific_to_discretionary... 50.0 0.0 \n", + "coef_part_time_worker_specific_to_eating_out_jo... 50.0 0.0 \n", + "coef_pre_driving_age_student_children_only_party 50.0 0.0 \n", + "coef_pre_driving_age_student_mixed_party 50.0 0.0 \n", + "coef_pre_driving_age_student_specific_to_discre... 50.0 0.0 \n", + "coef_pre_driving_age_student_specific_to_eating... 50.0 0.0 \n", + "coef_unavailable -999.0 0.0 \n", + "coef_university_student_mixed_party 50.0 0.0 \n", + "coef_university_student_specific_to_discretiona... 0.0 0.0 \n", + "coef_university_student_specific_to_eating_out_... 50.0 0.0 \n", "\n", - " best \n", - "coef_adult_log_of_max_window_overlap_with_a_chi... 4.595737 \n", - "coef_adult_log_of_max_window_overlap_with_an_ad... 1.692145 \n", - "coef_adult_more_automobiles_than_workers_adult_... 0.311671 \n", - "coef_adult_more_automobiles_than_workers_mixed_... -1.827740 \n", - "coef_adult_number_of_joint_tours_adult_only -2.134054 \n", - "coef_adult_number_of_joint_tours_mixed -28.572220 \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.000000 \n", - "coef_adult_number_of_other_adults_in_the_househ... 0.000000 \n", - "coef_child_log_of_max_window_overlap_with_a_chi... 1.275585 \n", - "coef_child_log_of_max_window_overlap_with_an_ad... 1.539267 \n", - "coef_child_more_automobiles_than_workers_child_... -0.394683 \n", - "coef_child_more_automobiles_than_workers_mixed_... -1.551914 \n", - "coef_child_number_of_joint_tours_child_only 4.977604 \n", - "coef_child_number_of_joint_tours_mixed 17.894892 \n", - "coef_child_number_of_other_children_in_the_hous... 0.000000 \n", - "coef_child_number_of_other_children_in_the_hous... 0.000000 \n", - "coef_child_too_young_for_school_children_only_p... -2.785631 \n", - "coef_child_too_young_for_school_mixed_party 2.069934 \n", - "coef_child_too_young_for_school_specific_to_dis... 0.128371 \n", - "coef_child_too_young_for_school_specific_to_eat... 0.658655 \n", - "coef_driving_age_student_children_only_party -1.822000 \n", - "coef_driving_age_student_mixed_party -28.998969 \n", - "coef_driving_age_student_specific_to_discretion... -0.667500 \n", - "coef_driving_age_student_specific_to_eating_out... 2.344000 \n", - "coef_dummy_for_high_income_for_adult_in_adult_p... 0.131783 \n", - "coef_dummy_for_high_income_for_adult_in_mixed_p... -0.378918 \n", - "coef_dummy_for_high_income_for_child_in_childre... -0.561900 \n", - "coef_dummy_for_high_income_for_child_in_mixed_p... -0.513571 \n", - "coef_full_time_worker_mixed_party -957.202749 \n", - "coef_full_time_worker_mixed_party_not 0.500000 \n", - "coef_full_time_worker_specific_to_discretionary... 0.439200 \n", - "coef_full_time_worker_specific_to_discretionary... 0.500000 \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.715700 \n", - "coef_full_time_worker_specific_to_eating_out_jo... 0.500000 \n", - "coef_household_in_suburban_area_adult_adult_onl... 0.000000 \n", - "coef_household_in_suburban_area_adult_mixed_party -0.060070 \n", - "coef_household_in_suburban_area_child_child_onl... 0.000000 \n", - "coef_household_in_suburban_area_child_mixed_party 0.000000 \n", - "coef_household_in_urban_area_adult_adult_only_p... 0.000000 \n", - "coef_household_in_urban_area_adult_mixed_party 978.504490 \n", - "coef_household_in_urban_area_child_child_only_p... 6.082784 \n", - "coef_household_in_urban_area_child_mixed_party -19.290030 \n", - "coef_non_worker_adults_only_party -4.080384 \n", - "coef_non_worker_mixed_party -125.288137 \n", - "coef_non_worker_specific_to_discretionary_joint... -0.183500 \n", - "coef_non_worker_specific_to_eating_out_joint_tours 0.161700 \n", - "coef_part_time_worker_adults_only_party -3.248302 \n", - "coef_part_time_worker_adults_only_party_not 0.500000 \n", - "coef_part_time_worker_mixed_party 2254.660944 \n", - "coef_part_time_worker_specific_to_discretionary... 0.285000 \n", - "coef_part_time_worker_specific_to_eating_out_jo... 2.188000 \n", - "coef_pre_driving_age_student_children_only_party 4.151085 \n", - "coef_pre_driving_age_student_mixed_party 2.007228 \n", - "coef_pre_driving_age_student_specific_to_discre... 0.662600 \n", - "coef_pre_driving_age_student_specific_to_eating... 1.391000 \n", - "coef_unavailable -999.000000 \n", - "coef_university_student_mixed_party -958.612314 \n", - "coef_university_student_specific_to_discretiona... 0.000000 \n", - "coef_university_student_specific_to_eating_out_... -0.820000 " + " holdfast \n", + "param_name \n", + "coef_adult_log_of_max_window_overlap_with_a_chi... 0 \n", + "coef_adult_log_of_max_window_overlap_with_an_ad... 0 \n", + "coef_adult_more_automobiles_than_workers_adult_... 0 \n", + "coef_adult_more_automobiles_than_workers_mixed_... 0 \n", + "coef_adult_number_of_joint_tours_adult_only 0 \n", + "coef_adult_number_of_joint_tours_mixed 0 \n", + "coef_adult_number_of_other_adults_in_the_househ... 1 \n", + "coef_adult_number_of_other_adults_in_the_househ... 1 \n", + "coef_child_log_of_max_window_overlap_with_a_chi... 0 \n", + "coef_child_log_of_max_window_overlap_with_an_ad... 0 \n", + "coef_child_more_automobiles_than_workers_child_... 0 \n", + "coef_child_more_automobiles_than_workers_mixed_... 0 \n", + "coef_child_number_of_joint_tours_child_only 0 \n", + "coef_child_number_of_joint_tours_mixed 0 \n", + "coef_child_number_of_other_children_in_the_hous... 1 \n", + "coef_child_number_of_other_children_in_the_hous... 1 \n", + "coef_child_too_young_for_school_children_only_p... 0 \n", + "coef_child_too_young_for_school_mixed_party 0 \n", + "coef_child_too_young_for_school_specific_to_dis... 0 \n", + "coef_child_too_young_for_school_specific_to_eat... 0 \n", + "coef_driving_age_student_children_only_party 0 \n", + "coef_driving_age_student_mixed_party 0 \n", + "coef_driving_age_student_specific_to_discretion... 0 \n", + "coef_driving_age_student_specific_to_eating_out... 0 \n", + "coef_dummy_for_high_income_for_adult_in_adult_p... 0 \n", + "coef_dummy_for_high_income_for_adult_in_mixed_p... 0 \n", + "coef_dummy_for_high_income_for_child_in_childre... 0 \n", + "coef_dummy_for_high_income_for_child_in_mixed_p... 0 \n", + "coef_full_time_worker_mixed_party 0 \n", + "coef_full_time_worker_mixed_party_not 1 \n", + "coef_full_time_worker_specific_to_discretionary... 0 \n", + "coef_full_time_worker_specific_to_discretionary... 1 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 0 \n", + "coef_full_time_worker_specific_to_eating_out_jo... 1 \n", + "coef_household_in_suburban_area_adult_adult_onl... 1 \n", + "coef_household_in_suburban_area_adult_mixed_party 0 \n", + "coef_household_in_suburban_area_child_child_onl... 1 \n", + "coef_household_in_suburban_area_child_mixed_party 1 \n", + "coef_household_in_urban_area_adult_adult_only_p... 1 \n", + "coef_household_in_urban_area_adult_mixed_party 0 \n", + "coef_household_in_urban_area_child_child_only_p... 0 \n", + "coef_household_in_urban_area_child_mixed_party 0 \n", + "coef_non_worker_adults_only_party 0 \n", + "coef_non_worker_mixed_party 0 \n", + "coef_non_worker_specific_to_discretionary_joint... 0 \n", + "coef_non_worker_specific_to_eating_out_joint_tours 0 \n", + "coef_part_time_worker_adults_only_party 0 \n", + "coef_part_time_worker_adults_only_party_not 1 \n", + "coef_part_time_worker_mixed_party 0 \n", + "coef_part_time_worker_specific_to_discretionary... 0 \n", + "coef_part_time_worker_specific_to_eating_out_jo... 0 \n", + "coef_pre_driving_age_student_children_only_party 0 \n", + "coef_pre_driving_age_student_mixed_party 0 \n", + "coef_pre_driving_age_student_specific_to_discre... 0 \n", + "coef_pre_driving_age_student_specific_to_eating... 0 \n", + "coef_unavailable 1 \n", + "coef_university_student_mixed_party 0 \n", + "coef_university_student_specific_to_discretiona... 1 \n", + "coef_university_student_specific_to_eating_out_... 0 " ] }, "metadata": {}, @@ -2240,16 +2250,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 0.0 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 0.0 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate()\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 0.0 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " model.estimate()\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -2265,242 +2267,242 @@ " \n", " \n", " coef_adult_log_of_max_window_overlap_with_a_child_mixed\n", - " 4.595737e+00\n", + " 2.125116\n", " \n", " \n", " coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party\n", - " 1.692145e+00\n", + " 1.280678\n", " \n", " \n", " coef_adult_more_automobiles_than_workers_adult_only_party\n", - " 3.116710e-01\n", + " 0.121220\n", " \n", " \n", " coef_adult_more_automobiles_than_workers_mixed_party\n", - " -1.827740e+00\n", + " -0.591966\n", " \n", " \n", " coef_adult_number_of_joint_tours_adult_only\n", - " -2.134054e+00\n", + " -0.794091\n", " \n", " \n", " coef_adult_number_of_joint_tours_mixed\n", - " -2.857222e+01\n", + " -1.417451\n", " \n", " \n", " coef_adult_number_of_other_adults_in_the_household_adults_only_party\n", - " -1.648956e-17\n", + " 0.000000\n", " \n", " \n", " coef_adult_number_of_other_adults_in_the_household_mixed_party\n", - " 7.224396e-18\n", + " 0.000000\n", " \n", " \n", " coef_child_log_of_max_window_overlap_with_a_child_child\n", - " 1.275585e+00\n", + " 1.296000\n", " \n", " \n", " coef_child_log_of_max_window_overlap_with_an_adult_mixed\n", - " 1.539267e+00\n", + " 1.538000\n", " \n", " \n", " coef_child_more_automobiles_than_workers_child_only_party\n", - " -3.946825e-01\n", + " -0.421400\n", " \n", " \n", " coef_child_more_automobiles_than_workers_mixed_party\n", - " -1.551914e+00\n", + " -0.366466\n", " \n", " \n", " coef_child_number_of_joint_tours_child_only\n", - " 4.977604e+00\n", + " 0.866122\n", " \n", " \n", " coef_child_number_of_joint_tours_mixed\n", - " 1.789489e+01\n", + " -0.261747\n", " \n", " \n", " coef_child_number_of_other_children_in_the_household_child_only_party\n", - " -2.228152e-18\n", + " 0.000000\n", " \n", " \n", " coef_child_number_of_other_children_in_the_household_mixed\n", - " -3.324715e-17\n", + " 0.000000\n", " \n", " \n", " coef_child_too_young_for_school_children_only_party\n", - " -2.785631e+00\n", + " -1.149596\n", " \n", " \n", " coef_child_too_young_for_school_mixed_party\n", - " 2.069934e+00\n", + " 0.197836\n", " \n", " \n", " coef_child_too_young_for_school_specific_to_discretionary_joint_tours\n", - " 1.283705e-01\n", + " 0.128400\n", " \n", " \n", " coef_child_too_young_for_school_specific_to_eating_out_joint_tours\n", - " 6.586549e-01\n", + " 0.658900\n", " \n", " \n", " coef_driving_age_student_children_only_party\n", - " -1.822000e+00\n", + " -2.120496\n", " \n", " \n", " coef_driving_age_student_mixed_party\n", - " -2.899897e+01\n", + " 0.322986\n", " \n", " \n", " coef_driving_age_student_specific_to_discretionary_joint_tours\n", - " -6.675000e-01\n", + " -0.667500\n", " \n", " \n", " coef_driving_age_student_specific_to_eating_out_joint_tours\n", - " 2.344000e+00\n", + " 2.344000\n", " \n", " \n", " coef_dummy_for_high_income_for_adult_in_adult_party\n", - " 1.317830e-01\n", + " -0.068202\n", " \n", " \n", " coef_dummy_for_high_income_for_adult_in_mixed_party\n", - " -3.789182e-01\n", + " 0.112930\n", " \n", " \n", " coef_dummy_for_high_income_for_child_in_children_party\n", - " -5.619000e-01\n", + " -0.211892\n", " \n", " \n", " coef_dummy_for_high_income_for_child_in_mixed_party\n", - " -5.135707e-01\n", + " -0.013740\n", " \n", " \n", " coef_full_time_worker_mixed_party\n", - " -9.572027e+02\n", + " -3.527365\n", " \n", " \n", " coef_full_time_worker_mixed_party_not\n", - " 5.000000e-01\n", + " 0.500000\n", " \n", " \n", " coef_full_time_worker_specific_to_discretionary_joint_tours\n", - " 4.392000e-01\n", + " 0.439200\n", " \n", " \n", " coef_full_time_worker_specific_to_discretionary_joint_tours_not\n", - " 5.000000e-01\n", + " 0.500000\n", " \n", " \n", " coef_full_time_worker_specific_to_eating_out_joint_tours\n", - " 7.157000e-01\n", + " 0.715700\n", " \n", " \n", " coef_full_time_worker_specific_to_eating_out_joint_tours_not\n", - " 5.000000e-01\n", + " 0.500000\n", " \n", " \n", " coef_household_in_suburban_area_adult_adult_only_party\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coef_household_in_suburban_area_adult_mixed_party\n", - " -6.007000e-02\n", + " 1.239881\n", " \n", " \n", " coef_household_in_suburban_area_child_child_only_party\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coef_household_in_suburban_area_child_mixed_party\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coef_household_in_urban_area_adult_adult_only_party\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coef_household_in_urban_area_adult_mixed_party\n", - " 9.785045e+02\n", + " 1.204039\n", " \n", " \n", " coef_household_in_urban_area_child_child_only_party\n", - " 6.082784e+00\n", + " -0.145369\n", " \n", " \n", " coef_household_in_urban_area_child_mixed_party\n", - " -1.929003e+01\n", + " -0.138857\n", " \n", " \n", " coef_non_worker_adults_only_party\n", - " -4.080384e+00\n", + " -3.161945\n", " \n", " \n", " coef_non_worker_mixed_party\n", - " -1.252881e+02\n", + " 1.059162\n", " \n", " \n", " coef_non_worker_specific_to_discretionary_joint_tours\n", - " -1.835000e-01\n", + " -0.183500\n", " \n", " \n", " coef_non_worker_specific_to_eating_out_joint_tours\n", - " 1.617000e-01\n", + " 0.161700\n", " \n", " \n", " coef_part_time_worker_adults_only_party\n", - " -3.248302e+00\n", + " -3.631928\n", " \n", " \n", " coef_part_time_worker_adults_only_party_not\n", - " 5.000000e-01\n", + " 0.500000\n", " \n", " \n", " coef_part_time_worker_mixed_party\n", - " 2.254661e+03\n", + " -0.447984\n", " \n", " \n", " coef_part_time_worker_specific_to_discretionary_joint_tours\n", - " 2.850000e-01\n", + " 0.285000\n", " \n", " \n", " coef_part_time_worker_specific_to_eating_out_joint_tours\n", - " 2.188000e+00\n", + " 2.188000\n", " \n", " \n", " coef_pre_driving_age_student_children_only_party\n", - " 4.151085e+00\n", + " 0.991812\n", " \n", " \n", " coef_pre_driving_age_student_mixed_party\n", - " 2.007228e+00\n", + " -0.073175\n", " \n", " \n", " coef_pre_driving_age_student_specific_to_discretionary_joint_tours\n", - " 6.626000e-01\n", + " 0.662600\n", " \n", " \n", " coef_pre_driving_age_student_specific_to_eating_out_joint_tours\n", - " 1.391000e+00\n", + " 1.391000\n", " \n", " \n", " coef_unavailable\n", - " -9.990000e+02\n", + " -999.000000\n", " \n", " \n", " coef_university_student_mixed_party\n", - " -9.586123e+02\n", + " -2.902637\n", " \n", " \n", " coef_university_student_specific_to_discretionary_joint_tours\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coef_university_student_specific_to_eating_out_joint_tours\n", - " -8.200000e-01\n", + " -0.820000\n", " \n", " \n", - "loglike-61.383086448632596d_loglike\n", + "
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coef_adult_log_of_max_window_overlap_with_a_child_mixed-4.096171e-040.000012
coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party2.436129e-050.000013
coef_adult_more_automobiles_than_workers_adult_only_party5.345149e-05-0.000165
coef_adult_more_automobiles_than_workers_mixed_party1.722466e-04-0.000051
coef_adult_number_of_joint_tours_adult_only1.769263e-04-0.000006
coef_adult_number_of_joint_tours_mixed3.181344e-04-0.000088
coef_adult_number_of_other_adults_in_the_household_adults_only_party0.000000e+000.000000
coef_adult_number_of_other_adults_in_the_household_mixed_party0.000000e+000.000000
coef_child_log_of_max_window_overlap_with_a_child_child0.000000e+000.000000
coef_child_log_of_max_window_overlap_with_an_adult_mixed0.000000e+000.000000
coef_child_more_automobiles_than_workers_child_only_party0.000000e+000.000000
coef_child_more_automobiles_than_workers_mixed_party1.722466e-04-0.000051
coef_child_number_of_joint_tours_child_only7.427872e-07-0.000119
coef_child_number_of_joint_tours_mixed-7.098060e-05-0.000047
coef_child_number_of_other_children_in_the_household_child_only_party0.000000e+000.000000
coef_child_number_of_other_children_in_the_household_mixed0.000000e+000.000000
coef_child_too_young_for_school_children_only_party0.000000e+000.000066
coef_child_too_young_for_school_mixed_party-4.267128e-050.000136
coef_child_too_young_for_school_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_child_too_young_for_school_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_driving_age_student_children_only_party0.000000e+000.000265
coef_driving_age_student_mixed_party-7.460379e-06-0.000060
coef_driving_age_student_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_driving_age_student_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_dummy_for_high_income_for_adult_in_adult_party-2.777090e-040.000017
coef_dummy_for_high_income_for_adult_in_mixed_party7.481814e-050.000026
coef_dummy_for_high_income_for_child_in_children_party0.000000e+000.000114
coef_dummy_for_high_income_for_child_in_mixed_party7.481814e-050.000026
coef_full_time_worker_mixed_party1.834492e-05-0.000152
coef_full_time_worker_mixed_party_not0.000000e+000.000000
coef_full_time_worker_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_full_time_worker_specific_to_discretionary_joint_tours_not0.000000e+000.000000
coef_full_time_worker_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_full_time_worker_specific_to_eating_out_joint_tours_not0.000000e+000.000000
coef_household_in_suburban_area_adult_adult_only_party0.000000e+000.000000
coef_household_in_suburban_area_adult_mixed_party0.000000e+000.000250
coef_household_in_suburban_area_child_child_only_party0.000000e+000.000000
coef_household_in_suburban_area_child_mixed_party0.000000e+000.000000
coef_household_in_urban_area_adult_adult_only_party0.000000e+000.000000
coef_household_in_urban_area_adult_mixed_party3.181344e-04-0.000179
coef_household_in_urban_area_child_child_only_party7.427872e-070.000131
coef_household_in_urban_area_child_mixed_party-6.353745e-05-0.000081
coef_non_worker_adults_only_party3.691375e-040.000062
coef_non_worker_mixed_party-1.839038e-700.000002
coef_non_worker_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_non_worker_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_part_time_worker_adults_only_party5.695694e-050.000239
coef_part_time_worker_adults_only_party_not0.000000e+000.000000
coef_part_time_worker_mixed_party0.000000e+00-0.000099
coef_part_time_worker_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_part_time_worker_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_pre_driving_age_student_children_only_party7.427872e-07-0.000108
coef_pre_driving_age_student_mixed_party-1.340579e-05-0.000009
coef_pre_driving_age_student_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_pre_driving_age_student_specific_to_eating_out_joint_tours0.000000e+000.000000
coef_unavailable0.000000e+000.000000
coef_university_student_mixed_party2.997895e-040.000080
coef_university_student_specific_to_discretionary_joint_tours0.000000e+000.000000
coef_university_student_specific_to_eating_out_joint_tours0.000000e+000.000000
nit13nfev22njev13status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.868469method'bhhh|slsqp'n_cases304iteration_number112logloss0.2019180475283967" + "nit80nfev81njev80status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.325635method'slsqp'n_cases4500iteration_number80loglike-1240.495238444391" ], "text/plain": [ - "┣ x: coef_adult_log_of_max_window_overlap_with_a_child_mixed 4.595737e+00\n", - "┃ coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 1.692145e+00\n", - "┃ coef_adult_more_automobiles_than_workers_adult_only_party 3.116710e-01\n", - "┃ coef_adult_more_automobiles_than_workers_mixed_party -1.827740e+00\n", - "┃ coef_adult_number_of_joint_tours_adult_only -2.134054e+00\n", - "┃ coef_adult_number_of_joint_tours_mixed -2.857222e+01\n", - "┃ coef_adult_number_of_other_adults_in_the_household_adults_only_party -1.648956e-17\n", - "┃ coef_adult_number_of_other_adults_in_the_household_mixed_party 7.224396e-18\n", - "┃ coef_child_log_of_max_window_overlap_with_a_child_child 1.275585e+00\n", - "┃ coef_child_log_of_max_window_overlap_with_an_adult_mixed 1.539267e+00\n", - "┃ coef_child_more_automobiles_than_workers_child_only_party -3.946825e-01\n", - "┃ coef_child_more_automobiles_than_workers_mixed_party -1.551914e+00\n", - "┃ coef_child_number_of_joint_tours_child_only 4.977604e+00\n", - "┃ coef_child_number_of_joint_tours_mixed 1.789489e+01\n", - "┃ coef_child_number_of_other_children_in_the_household_child_only_party -2.228152e-18\n", - "┃ coef_child_number_of_other_children_in_the_household_mixed -3.324715e-17\n", - "┃ coef_child_too_young_for_school_children_only_party -2.785631e+00\n", - "┃ coef_child_too_young_for_school_mixed_party 2.069934e+00\n", - "┃ coef_child_too_young_for_school_specific_to_discretionary_joint_tours 1.283705e-01\n", - "┃ coef_child_too_young_for_school_specific_to_eating_out_joint_tours 6.586549e-01\n", - "┃ coef_driving_age_student_children_only_party -1.822000e+00\n", - "┃ coef_driving_age_student_mixed_party -2.899897e+01\n", - "┃ coef_driving_age_student_specific_to_discretionary_joint_tours -6.675000e-01\n", - "┃ coef_driving_age_student_specific_to_eating_out_joint_tours 2.344000e+00\n", - "┃ coef_dummy_for_high_income_for_adult_in_adult_party 1.317830e-01\n", - "┃ coef_dummy_for_high_income_for_adult_in_mixed_party -3.789182e-01\n", - "┃ coef_dummy_for_high_income_for_child_in_children_party -5.619000e-01\n", - "┃ coef_dummy_for_high_income_for_child_in_mixed_party -5.135707e-01\n", - "┃ coef_full_time_worker_mixed_party -9.572027e+02\n", - "┃ coef_full_time_worker_mixed_party_not 5.000000e-01\n", - "┃ coef_full_time_worker_specific_to_discretionary_joint_tours 4.392000e-01\n", - "┃ coef_full_time_worker_specific_to_discretionary_joint_tours_not 5.000000e-01\n", - "┃ coef_full_time_worker_specific_to_eating_out_joint_tours 7.157000e-01\n", - "┃ coef_full_time_worker_specific_to_eating_out_joint_tours_not 5.000000e-01\n", - "┃ coef_household_in_suburban_area_adult_adult_only_party 0.000000e+00\n", - "┃ coef_household_in_suburban_area_adult_mixed_party -6.007000e-02\n", - "┃ coef_household_in_suburban_area_child_child_only_party 0.000000e+00\n", - "┃ coef_household_in_suburban_area_child_mixed_party 0.000000e+00\n", - "┃ coef_household_in_urban_area_adult_adult_only_party 0.000000e+00\n", - "┃ coef_household_in_urban_area_adult_mixed_party 9.785045e+02\n", - "┃ coef_household_in_urban_area_child_child_only_party 6.082784e+00\n", - "┃ coef_household_in_urban_area_child_mixed_party -1.929003e+01\n", - "┃ coef_non_worker_adults_only_party -4.080384e+00\n", - "┃ coef_non_worker_mixed_party -1.252881e+02\n", - "┃ coef_non_worker_specific_to_discretionary_joint_tours -1.835000e-01\n", - "┃ coef_non_worker_specific_to_eating_out_joint_tours 1.617000e-01\n", - "┃ coef_part_time_worker_adults_only_party -3.248302e+00\n", - "┃ coef_part_time_worker_adults_only_party_not 5.000000e-01\n", - "┃ coef_part_time_worker_mixed_party 2.254661e+03\n", - "┃ coef_part_time_worker_specific_to_discretionary_joint_tours 2.850000e-01\n", - "┃ coef_part_time_worker_specific_to_eating_out_joint_tours 2.188000e+00\n", - "┃ coef_pre_driving_age_student_children_only_party 4.151085e+00\n", - "┃ coef_pre_driving_age_student_mixed_party 2.007228e+00\n", - "┃ coef_pre_driving_age_student_specific_to_discretionary_joint_tours 6.626000e-01\n", - "┃ coef_pre_driving_age_student_specific_to_eating_out_joint_tours 1.391000e+00\n", - "┃ coef_unavailable -9.990000e+02\n", - "┃ coef_university_student_mixed_party -9.586123e+02\n", - "┃ coef_university_student_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_university_student_specific_to_eating_out_joint_tours -8.200000e-01\n", + "┣ x: coef_adult_log_of_max_window_overlap_with_a_child_mixed 2.125116\n", + "┃ coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 1.280678\n", + "┃ coef_adult_more_automobiles_than_workers_adult_only_party 0.121220\n", + "┃ coef_adult_more_automobiles_than_workers_mixed_party -0.591966\n", + "┃ coef_adult_number_of_joint_tours_adult_only -0.794091\n", + "┃ coef_adult_number_of_joint_tours_mixed -1.417451\n", + "┃ coef_adult_number_of_other_adults_in_the_household_adults_only_party 0.000000\n", + "┃ coef_adult_number_of_other_adults_in_the_household_mixed_party 0.000000\n", + "┃ coef_child_log_of_max_window_overlap_with_a_child_child 1.296000\n", + "┃ coef_child_log_of_max_window_overlap_with_an_adult_mixed 1.538000\n", + "┃ coef_child_more_automobiles_than_workers_child_only_party -0.421400\n", + "┃ coef_child_more_automobiles_than_workers_mixed_party -0.366466\n", + "┃ coef_child_number_of_joint_tours_child_only 0.866122\n", + "┃ coef_child_number_of_joint_tours_mixed -0.261747\n", + "┃ coef_child_number_of_other_children_in_the_household_child_only_party 0.000000\n", + "┃ coef_child_number_of_other_children_in_the_household_mixed 0.000000\n", + "┃ coef_child_too_young_for_school_children_only_party -1.149596\n", + "┃ coef_child_too_young_for_school_mixed_party 0.197836\n", + "┃ coef_child_too_young_for_school_specific_to_discretionary_joint_tours 0.128400\n", + "┃ coef_child_too_young_for_school_specific_to_eating_out_joint_tours 0.658900\n", + "┃ coef_driving_age_student_children_only_party -2.120496\n", + "┃ coef_driving_age_student_mixed_party 0.322986\n", + "┃ coef_driving_age_student_specific_to_discretionary_joint_tours -0.667500\n", + "┃ coef_driving_age_student_specific_to_eating_out_joint_tours 2.344000\n", + "┃ coef_dummy_for_high_income_for_adult_in_adult_party -0.068202\n", + "┃ coef_dummy_for_high_income_for_adult_in_mixed_party 0.112930\n", + "┃ coef_dummy_for_high_income_for_child_in_children_party -0.211892\n", + "┃ coef_dummy_for_high_income_for_child_in_mixed_party -0.013740\n", + "┃ coef_full_time_worker_mixed_party -3.527365\n", + "┃ coef_full_time_worker_mixed_party_not 0.500000\n", + "┃ coef_full_time_worker_specific_to_discretionary_joint_tours 0.439200\n", + "┃ coef_full_time_worker_specific_to_discretionary_joint_tours_not 0.500000\n", + "┃ coef_full_time_worker_specific_to_eating_out_joint_tours 0.715700\n", + "┃ coef_full_time_worker_specific_to_eating_out_joint_tours_not 0.500000\n", + "┃ coef_household_in_suburban_area_adult_adult_only_party 0.000000\n", + "┃ coef_household_in_suburban_area_adult_mixed_party 1.239881\n", + "┃ coef_household_in_suburban_area_child_child_only_party 0.000000\n", + "┃ coef_household_in_suburban_area_child_mixed_party 0.000000\n", + "┃ coef_household_in_urban_area_adult_adult_only_party 0.000000\n", + "┃ coef_household_in_urban_area_adult_mixed_party 1.204039\n", + "┃ coef_household_in_urban_area_child_child_only_party -0.145369\n", + "┃ coef_household_in_urban_area_child_mixed_party -0.138857\n", + "┃ coef_non_worker_adults_only_party -3.161945\n", + "┃ coef_non_worker_mixed_party 1.059162\n", + "┃ coef_non_worker_specific_to_discretionary_joint_tours -0.183500\n", + "┃ coef_non_worker_specific_to_eating_out_joint_tours 0.161700\n", + "┃ coef_part_time_worker_adults_only_party -3.631928\n", + "┃ coef_part_time_worker_adults_only_party_not 0.500000\n", + "┃ coef_part_time_worker_mixed_party -0.447984\n", + "┃ coef_part_time_worker_specific_to_discretionary_joint_tours 0.285000\n", + "┃ coef_part_time_worker_specific_to_eating_out_joint_tours 2.188000\n", + "┃ coef_pre_driving_age_student_children_only_party 0.991812\n", + "┃ coef_pre_driving_age_student_mixed_party -0.073175\n", + "┃ coef_pre_driving_age_student_specific_to_discretionary_joint_tours 0.662600\n", + "┃ coef_pre_driving_age_student_specific_to_eating_out_joint_tours 1.391000\n", + "┃ coef_unavailable -999.000000\n", + "┃ coef_university_student_mixed_party -2.902637\n", + "┃ coef_university_student_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_university_student_specific_to_eating_out_joint_tours -0.820000\n", "┃ dtype: float64\n", - "┣ loglike: -61.383086448632596\n", - "┣ d_loglike: coef_adult_log_of_max_window_overlap_with_a_child_mixed -4.096171e-04\n", - "┃ coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 2.436129e-05\n", - "┃ coef_adult_more_automobiles_than_workers_adult_only_party 5.345149e-05\n", - "┃ coef_adult_more_automobiles_than_workers_mixed_party 1.722466e-04\n", - "┃ coef_adult_number_of_joint_tours_adult_only 1.769263e-04\n", - "┃ coef_adult_number_of_joint_tours_mixed 3.181344e-04\n", - "┃ coef_adult_number_of_other_adults_in_the_household_adults_only_party 0.000000e+00\n", - "┃ coef_adult_number_of_other_adults_in_the_household_mixed_party 0.000000e+00\n", - "┃ coef_child_log_of_max_window_overlap_with_a_child_child 0.000000e+00\n", - "┃ coef_child_log_of_max_window_overlap_with_an_adult_mixed 0.000000e+00\n", - "┃ coef_child_more_automobiles_than_workers_child_only_party 0.000000e+00\n", - "┃ coef_child_more_automobiles_than_workers_mixed_party 1.722466e-04\n", - "┃ coef_child_number_of_joint_tours_child_only 7.427872e-07\n", - "┃ coef_child_number_of_joint_tours_mixed -7.098060e-05\n", - "┃ coef_child_number_of_other_children_in_the_household_child_only_party 0.000000e+00\n", - "┃ coef_child_number_of_other_children_in_the_household_mixed 0.000000e+00\n", - "┃ coef_child_too_young_for_school_children_only_party 0.000000e+00\n", - "┃ coef_child_too_young_for_school_mixed_party -4.267128e-05\n", - "┃ coef_child_too_young_for_school_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_child_too_young_for_school_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_driving_age_student_children_only_party 0.000000e+00\n", - "┃ coef_driving_age_student_mixed_party -7.460379e-06\n", - "┃ coef_driving_age_student_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_driving_age_student_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_dummy_for_high_income_for_adult_in_adult_party -2.777090e-04\n", - "┃ coef_dummy_for_high_income_for_adult_in_mixed_party 7.481814e-05\n", - "┃ coef_dummy_for_high_income_for_child_in_children_party 0.000000e+00\n", - "┃ coef_dummy_for_high_income_for_child_in_mixed_party 7.481814e-05\n", - "┃ coef_full_time_worker_mixed_party 1.834492e-05\n", - "┃ coef_full_time_worker_mixed_party_not 0.000000e+00\n", - "┃ coef_full_time_worker_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_full_time_worker_specific_to_discretionary_joint_tours_not 0.000000e+00\n", - "┃ coef_full_time_worker_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_full_time_worker_specific_to_eating_out_joint_tours_not 0.000000e+00\n", - "┃ coef_household_in_suburban_area_adult_adult_only_party 0.000000e+00\n", - "┃ coef_household_in_suburban_area_adult_mixed_party 0.000000e+00\n", - "┃ coef_household_in_suburban_area_child_child_only_party 0.000000e+00\n", - "┃ coef_household_in_suburban_area_child_mixed_party 0.000000e+00\n", - "┃ coef_household_in_urban_area_adult_adult_only_party 0.000000e+00\n", - "┃ coef_household_in_urban_area_adult_mixed_party 3.181344e-04\n", - "┃ coef_household_in_urban_area_child_child_only_party 7.427872e-07\n", - "┃ coef_household_in_urban_area_child_mixed_party -6.353745e-05\n", - "┃ coef_non_worker_adults_only_party 3.691375e-04\n", - "┃ coef_non_worker_mixed_party -1.839038e-70\n", - "┃ coef_non_worker_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_non_worker_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_part_time_worker_adults_only_party 5.695694e-05\n", - "┃ coef_part_time_worker_adults_only_party_not 0.000000e+00\n", - "┃ coef_part_time_worker_mixed_party 0.000000e+00\n", - "┃ coef_part_time_worker_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_part_time_worker_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_pre_driving_age_student_children_only_party 7.427872e-07\n", - "┃ coef_pre_driving_age_student_mixed_party -1.340579e-05\n", - "┃ coef_pre_driving_age_student_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_pre_driving_age_student_specific_to_eating_out_joint_tours 0.000000e+00\n", - "┃ coef_unavailable 0.000000e+00\n", - "┃ coef_university_student_mixed_party 2.997895e-04\n", - "┃ coef_university_student_specific_to_discretionary_joint_tours 0.000000e+00\n", - "┃ coef_university_student_specific_to_eating_out_joint_tours 0.000000e+00\n", + "┣ logloss: 0.275665608543198\n", + "┣ d_logloss: coef_adult_log_of_max_window_overlap_with_a_child_mixed 0.000012\n", + "┃ coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 0.000013\n", + "┃ coef_adult_more_automobiles_than_workers_adult_only_party -0.000165\n", + "┃ coef_adult_more_automobiles_than_workers_mixed_party -0.000051\n", + "┃ coef_adult_number_of_joint_tours_adult_only -0.000006\n", + "┃ coef_adult_number_of_joint_tours_mixed -0.000088\n", + "┃ coef_adult_number_of_other_adults_in_the_household_adults_only_party 0.000000\n", + "┃ coef_adult_number_of_other_adults_in_the_household_mixed_party 0.000000\n", + "┃ coef_child_log_of_max_window_overlap_with_a_child_child 0.000000\n", + "┃ coef_child_log_of_max_window_overlap_with_an_adult_mixed 0.000000\n", + "┃ coef_child_more_automobiles_than_workers_child_only_party 0.000000\n", + "┃ coef_child_more_automobiles_than_workers_mixed_party -0.000051\n", + "┃ coef_child_number_of_joint_tours_child_only -0.000119\n", + "┃ coef_child_number_of_joint_tours_mixed -0.000047\n", + "┃ coef_child_number_of_other_children_in_the_household_child_only_party 0.000000\n", + "┃ coef_child_number_of_other_children_in_the_household_mixed 0.000000\n", + "┃ coef_child_too_young_for_school_children_only_party 0.000066\n", + "┃ coef_child_too_young_for_school_mixed_party 0.000136\n", + "┃ coef_child_too_young_for_school_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_child_too_young_for_school_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_driving_age_student_children_only_party 0.000265\n", + "┃ coef_driving_age_student_mixed_party -0.000060\n", + "┃ coef_driving_age_student_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_driving_age_student_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_dummy_for_high_income_for_adult_in_adult_party 0.000017\n", + "┃ coef_dummy_for_high_income_for_adult_in_mixed_party 0.000026\n", + "┃ coef_dummy_for_high_income_for_child_in_children_party 0.000114\n", + "┃ coef_dummy_for_high_income_for_child_in_mixed_party 0.000026\n", + "┃ coef_full_time_worker_mixed_party -0.000152\n", + "┃ coef_full_time_worker_mixed_party_not 0.000000\n", + "┃ coef_full_time_worker_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_full_time_worker_specific_to_discretionary_joint_tours_not 0.000000\n", + "┃ coef_full_time_worker_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_full_time_worker_specific_to_eating_out_joint_tours_not 0.000000\n", + "┃ coef_household_in_suburban_area_adult_adult_only_party 0.000000\n", + "┃ coef_household_in_suburban_area_adult_mixed_party 0.000250\n", + "┃ coef_household_in_suburban_area_child_child_only_party 0.000000\n", + "┃ coef_household_in_suburban_area_child_mixed_party 0.000000\n", + "┃ coef_household_in_urban_area_adult_adult_only_party 0.000000\n", + "┃ coef_household_in_urban_area_adult_mixed_party -0.000179\n", + "┃ coef_household_in_urban_area_child_child_only_party 0.000131\n", + "┃ coef_household_in_urban_area_child_mixed_party -0.000081\n", + "┃ coef_non_worker_adults_only_party 0.000062\n", + "┃ coef_non_worker_mixed_party 0.000002\n", + "┃ coef_non_worker_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_non_worker_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_part_time_worker_adults_only_party 0.000239\n", + "┃ coef_part_time_worker_adults_only_party_not 0.000000\n", + "┃ coef_part_time_worker_mixed_party -0.000099\n", + "┃ coef_part_time_worker_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_part_time_worker_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_pre_driving_age_student_children_only_party -0.000108\n", + "┃ coef_pre_driving_age_student_mixed_party -0.000009\n", + "┃ coef_pre_driving_age_student_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_pre_driving_age_student_specific_to_eating_out_joint_tours 0.000000\n", + "┃ coef_unavailable 0.000000\n", + "┃ coef_university_student_mixed_party 0.000080\n", + "┃ coef_university_student_specific_to_discretionary_joint_tours 0.000000\n", + "┃ coef_university_student_specific_to_eating_out_joint_tours 0.000000\n", "┃ dtype: float64\n", - "┣ nit: 13\n", - "┣ nfev: 22\n", - "┣ njev: 13\n", + "┣ nit: 80\n", + "┣ nfev: 81\n", + "┣ njev: 80\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(microseconds=868469)\n", - "┣ method: 'bhhh|slsqp'\n", - "┣ n_cases: 304\n", - "┣ iteration_number: 112\n", - "┣ logloss: 0.2019180475283967" + "┣ elapsed_time: datetime.timedelta(microseconds=325635)\n", + "┣ method: 'slsqp'\n", + "┣ n_cases: 4500\n", + "┣ iteration_number: 80\n", + "┣ loglike: -1240.495238444391" ] }, "execution_count": 7, @@ -2926,30 +2928,30 @@ " \n", " 1\n", " participate\n", - " 228.0\n", - " 304.0\n", + " 3317\n", + " 4500\n", " \n", " \n", " 2\n", " not_participate\n", - " 76.0\n", - " 304.0\n", + " 1183\n", + " 4500\n", " \n", " \n", " < Total All Alternatives >\n", " \n", - " 304.0\n", - " \n", + " 4500\n", + " <NA>\n", " \n", " \n", "\n", "" ], "text/plain": [ - " name chosen available\n", - "1 participate 228.0 304.0\n", - "2 not_participate 76.0 304.0\n", - "< Total All Alternatives > 304.0 " + " name chosen available\n", + "1 participate 3317 4500\n", + "2 not_participate 1183 4500\n", + "< Total All Alternatives > 4500 " ] }, "execution_count": 8, @@ -2958,7 +2960,7 @@ } ], "source": [ - "model.dataframes.choice_avail_summary()" + "model.choice_avail_summary()" ] }, { @@ -2976,610 +2978,577 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_adult_log_of_max_window_overlap_with_a_child_mixed 4.60 1.53 3.00** NA 0.00
coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 1.69 0.833 2.03* NA 0.00
coef_adult_more_automobiles_than_workers_adult_only_party 0.312 1.08 0.29 NA 0.00
coef_adult_more_automobiles_than_workers_mixed_party-1.83 0.672-2.72** NA 0.00
coef_adult_number_of_joint_tours_adult_only-2.13 2.00-1.07 NA 0.00
coef_adult_number_of_joint_tours_mixed-28.6 NA NA[***] 499.96 0.00
coef_adult_number_of_other_adults_in_the_household_adults_only_party 0.00 NA NA NA 0.00fixed value
coef_adult_number_of_other_adults_in_the_household_mixed_party 0.00 NA NA NA 0.00fixed value
coef_child_log_of_max_window_overlap_with_a_child_child 1.28 0.00450 283.43*** NA 0.00
coef_child_log_of_max_window_overlap_with_an_adult_mixed 1.54 0.00635 242.24*** NA 0.00
coef_child_more_automobiles_than_workers_child_only_party-0.395 0.0443-8.91*** NA 0.00
coef_child_more_automobiles_than_workers_mixed_party-1.55 0.672-2.31* NA 0.00
coef_child_number_of_joint_tours_child_only 4.98 388. 0.01 NA 0.00
coef_child_number_of_joint_tours_mixed 17.9 3.48e+03 0.01 NA 0.00
coef_child_number_of_other_children_in_the_household_child_only_party 0.00 NA NA NA 0.00fixed value
coef_child_number_of_other_children_in_the_household_mixed 0.00 NA NA NA 0.00fixed value
coef_child_too_young_for_school_children_only_party-2.79 0.000873-BIG*** NA 0.00
coef_child_too_young_for_school_mixed_party 2.07 1.97e+04 0.00 NA 0.00
coef_child_too_young_for_school_specific_to_discretionary_joint_tours 0.128 0.000270 475.53*** NA 0.00
coef_child_too_young_for_school_specific_to_eating_out_joint_tours 0.659 3.84e-10 BIG*** NA 0.00
coef_driving_age_student_children_only_party-1.82 1.84e-10-BIG*** NA 0.00
coef_driving_age_student_mixed_party-29.0 2.06e+04-0.00 NA 0.00
coef_driving_age_student_specific_to_discretionary_joint_tours-0.667 5.70e-13-BIG*** NA 0.00
coef_driving_age_student_specific_to_eating_out_joint_tours 2.34 0.00 NA[] 0.00 0.00
coef_dummy_for_high_income_for_adult_in_adult_party 0.132 0.897 0.15 NA 0.00
coef_dummy_for_high_income_for_adult_in_mixed_party-0.379 0.321-1.18 NA 0.00
coef_dummy_for_high_income_for_child_in_children_party-0.562 0.00 NA[] 0.00 0.00
coef_dummy_for_high_income_for_child_in_mixed_party-0.514 0.321-1.60 NA 0.00
coef_full_time_worker_mixed_party-957. NA NA[***] NA 0.00
coef_full_time_worker_mixed_party_not 0.500 NA NA NA 0.00fixed value
coef_full_time_worker_specific_to_discretionary_joint_tours 0.439 0.00 NA[] 0.00 0.00
coef_full_time_worker_specific_to_discretionary_joint_tours_not 0.500 NA NA NA 0.00fixed value
coef_full_time_worker_specific_to_eating_out_joint_tours 0.716 0.00 NA[] 0.00 0.00
coef_full_time_worker_specific_to_eating_out_joint_tours_not 0.500 NA NA NA 0.00fixed value
coef_household_in_suburban_area_adult_adult_only_party 0.00 NA NA NA 0.00fixed value
coef_household_in_suburban_area_adult_mixed_party-0.0601 0.00 NA[] 0.00 0.00
coef_household_in_suburban_area_child_child_only_party 0.00 NA NA NA 0.00fixed value
coef_household_in_suburban_area_child_mixed_party 0.00 NA NA NA 0.00fixed value
coef_household_in_urban_area_adult_adult_only_party 0.00 NA NA NA 0.00fixed value
coef_household_in_urban_area_adult_mixed_party 979. 3.97e+03 0.25 NA 0.00
coef_household_in_urban_area_child_child_only_party 6.08 388. 0.02 NA 0.00
coef_household_in_urban_area_child_mixed_party-19.3 1.94e+04-0.00 NA 0.00
coef_non_worker_adults_only_party-4.08 1.45-2.81** NA 0.00
coef_non_worker_mixed_party-125. 0.00 NA[] 0.00 0.00
coef_non_worker_specific_to_discretionary_joint_tours-0.183 0.00 NA[] 0.00 0.00
coef_non_worker_specific_to_eating_out_joint_tours 0.162 0.00 NA[] 0.00 0.00
coef_part_time_worker_adults_only_party-3.25 1.03-3.14** NA 0.00
coef_part_time_worker_adults_only_party_not 0.500 NA NA NA 0.00fixed value
coef_part_time_worker_mixed_party 2.25e+03 0.00 NA[] 0.00 0.00
coef_part_time_worker_specific_to_discretionary_joint_tours 0.285 0.00 NA[] 0.00 0.00
coef_part_time_worker_specific_to_eating_out_joint_tours 2.19 0.00 NA[] 0.00 0.00
coef_pre_driving_age_student_children_only_party 4.15 388. 0.01 NA 0.00
coef_pre_driving_age_student_mixed_party 2.01 1.97e+04 0.00 NA 0.00
coef_pre_driving_age_student_specific_to_discretionary_joint_tours 0.663 0.00 NA[] 0.00 0.00
coef_pre_driving_age_student_specific_to_eating_out_joint_tours 1.39 0.00 NA[] 0.00 0.00
coef_unavailable-999. NA NA NA 0.00fixed value
coef_university_student_mixed_party-959. NA NA[***] NA 0.00
coef_university_student_specific_to_discretionary_joint_tours 0.00 NA NA NA 0.00fixed value
coef_university_student_specific_to_eating_out_joint_tours-0.820 0.00 NA[] 0.00 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_adult_log_of_max_window_overlap_with_a_child_mixed 2.13 0.234 9.09*** 0.00
coef_adult_log_of_max_window_overlap_with_an_adult_adult_only_party 1.28 0.229 5.59*** 0.00
coef_adult_more_automobiles_than_workers_adult_only_party 0.121 0.233 0.52 0.00
coef_adult_more_automobiles_than_workers_mixed_party-0.592 0.0889-6.66*** 0.00
coef_adult_number_of_joint_tours_adult_only-0.794 0.488-1.63 0.00
coef_adult_number_of_joint_tours_mixed-1.42 0.525-2.70** 0.00
coef_adult_number_of_other_adults_in_the_household_adults_only_party 0.00 0.00 NA 0.00fixed value
coef_adult_number_of_other_adults_in_the_household_mixed_party 0.00 0.00 NA 0.00fixed value
coef_child_log_of_max_window_overlap_with_a_child_child 1.30 NA NA 0.00
coef_child_log_of_max_window_overlap_with_an_adult_mixed 1.54 NA NA 0.00
coef_child_more_automobiles_than_workers_child_only_party-0.421 6.40e-14-BIG*** 0.00
coef_child_more_automobiles_than_workers_mixed_party-0.366 0.0889-4.12*** 0.00
coef_child_number_of_joint_tours_child_only 0.866 1.10 0.79 0.00
coef_child_number_of_joint_tours_mixed-0.262 0.497-0.53 0.00
coef_child_number_of_other_children_in_the_household_child_only_party 0.00 0.00 NA 0.00fixed value
coef_child_number_of_other_children_in_the_household_mixed 0.00 0.00 NA 0.00fixed value
coef_child_too_young_for_school_children_only_party-1.15 1.19-0.97 0.00
coef_child_too_young_for_school_mixed_party 0.198 0.525 0.38 0.00
coef_child_too_young_for_school_specific_to_discretionary_joint_tours 0.128 NA NA 0.00
coef_child_too_young_for_school_specific_to_eating_out_joint_tours 0.659 1.08e-14 BIG*** 0.00
coef_driving_age_student_children_only_party-2.12 1.40-1.51 0.00
coef_driving_age_student_mixed_party 0.323 0.613 0.53 0.00
coef_driving_age_student_specific_to_discretionary_joint_tours-0.668 4.92e-15-BIG*** 0.00
coef_driving_age_student_specific_to_eating_out_joint_tours 2.34 NA NA 0.00
coef_dummy_for_high_income_for_adult_in_adult_party-0.0682 0.231-0.29 0.00
coef_dummy_for_high_income_for_adult_in_mixed_party 0.113 0.0599 1.89 0.00
coef_dummy_for_high_income_for_child_in_children_party-0.212 0.453-0.47 0.00
coef_dummy_for_high_income_for_child_in_mixed_party-0.0137 0.0599-0.23 0.00
coef_full_time_worker_mixed_party-3.53 0.837-4.21*** 0.00
coef_full_time_worker_mixed_party_not 0.500 0.00 NA 0.00fixed value
coef_full_time_worker_specific_to_discretionary_joint_tours 0.439 7.59e-16 BIG*** 0.00
coef_full_time_worker_specific_to_discretionary_joint_tours_not 0.500 0.00 NA 0.00fixed value
coef_full_time_worker_specific_to_eating_out_joint_tours 0.716 1.68e-16 BIG*** 0.00
coef_full_time_worker_specific_to_eating_out_joint_tours_not 0.500 0.00 NA 0.00fixed value
coef_household_in_suburban_area_adult_adult_only_party 0.00 0.00 NA 0.00fixed value
coef_household_in_suburban_area_adult_mixed_party 1.24 1.10 1.13 0.00
coef_household_in_suburban_area_child_child_only_party 0.00 0.00 NA 0.00fixed value
coef_household_in_suburban_area_child_mixed_party 0.00 0.00 NA 0.00fixed value
coef_household_in_urban_area_adult_adult_only_party 0.00 0.00 NA 0.00fixed value
coef_household_in_urban_area_adult_mixed_party 1.20 1.11 1.09 0.00
coef_household_in_urban_area_child_child_only_party-0.145 0.520-0.28 0.00
coef_household_in_urban_area_child_mixed_party-0.139 0.189-0.74 0.00
coef_non_worker_adults_only_party-3.16 0.310-10.20*** 0.00
coef_non_worker_mixed_party 1.06 1.05 1.01 0.00
coef_non_worker_specific_to_discretionary_joint_tours-0.184 0.00 NA 0.00
coef_non_worker_specific_to_eating_out_joint_tours 0.162 0.00 NA 0.00
coef_part_time_worker_adults_only_party-3.63 0.389-9.33*** 0.00
coef_part_time_worker_adults_only_party_not 0.500 0.00 NA 0.00fixed value
coef_part_time_worker_mixed_party-0.448 0.942-0.48 0.00
coef_part_time_worker_specific_to_discretionary_joint_tours 0.285 0.00 NA 0.00
coef_part_time_worker_specific_to_eating_out_joint_tours 2.19 0.00 NA 0.00
coef_pre_driving_age_student_children_only_party 0.992 1.18 0.84 0.00
coef_pre_driving_age_student_mixed_party-0.0732 0.527-0.14 0.00
coef_pre_driving_age_student_specific_to_discretionary_joint_tours 0.663 0.00 NA 0.00
coef_pre_driving_age_student_specific_to_eating_out_joint_tours 1.39 0.00 NA 0.00
coef_unavailable-999. 0.00 NA 0.00fixed value
coef_university_student_mixed_party-2.90 0.860-3.38*** 0.00
coef_university_student_specific_to_discretionary_joint_tours 0.00 0.00 NA 0.00fixed value
coef_university_student_specific_to_eating_out_joint_tours-0.820 0.00 NA 0.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -3626,18 +3595,7 @@ "cell_type": "code", "execution_count": 11, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3695,7 +3653,7 @@ " \n", " 1\n", " coef_full_time_worker_mixed_party\n", - " -957.202749\n", + " -3.527365\n", " F\n", " \n", " \n", @@ -3707,7 +3665,7 @@ " \n", " 3\n", " coef_part_time_worker_adults_only_party\n", - " -3.248302\n", + " -3.631928\n", " F\n", " \n", " \n", @@ -3719,61 +3677,61 @@ " \n", " 5\n", " coef_part_time_worker_mixed_party\n", - " 2254.660944\n", + " -0.447984\n", " F\n", " \n", " \n", " 6\n", " coef_university_student_mixed_party\n", - " -958.612314\n", + " -2.902637\n", " F\n", " \n", " \n", " 7\n", " coef_non_worker_adults_only_party\n", - " -4.080384\n", + " -3.161945\n", " F\n", " \n", " \n", " 8\n", " coef_non_worker_mixed_party\n", - " -125.288137\n", + " 1.059162\n", " F\n", " \n", " \n", " 9\n", " coef_child_too_young_for_school_children_only_...\n", - " -2.785631\n", + " -1.149596\n", " F\n", " \n", " \n", " 10\n", " coef_child_too_young_for_school_mixed_party\n", - " 2.069934\n", + " 0.197836\n", " F\n", " \n", " \n", " 11\n", " coef_pre_driving_age_student_children_only_party\n", - " 4.151085\n", + " 0.991812\n", " F\n", " \n", " \n", " 12\n", " coef_pre_driving_age_student_mixed_party\n", - " 2.007228\n", + " -0.073175\n", " F\n", " \n", " \n", " 13\n", " coef_driving_age_student_children_only_party\n", - " -1.822000\n", + " -2.120496\n", " F\n", " \n", " \n", " 14\n", " coef_driving_age_student_mixed_party\n", - " -28.998969\n", + " 0.322986\n", " F\n", " \n", " \n", @@ -3839,13 +3797,13 @@ " \n", " 25\n", " coef_child_too_young_for_school_specific_to_ea...\n", - " 0.658655\n", + " 0.658900\n", " F\n", " \n", " \n", " 26\n", " coef_child_too_young_for_school_specific_to_di...\n", - " 0.128371\n", + " 0.128400\n", " F\n", " \n", " \n", @@ -3881,19 +3839,19 @@ " \n", " 32\n", " coef_household_in_urban_area_adult_mixed_party\n", - " 978.504490\n", + " 1.204039\n", " F\n", " \n", " \n", " 33\n", " coef_household_in_urban_area_child_child_only_...\n", - " 6.082784\n", + " -0.145369\n", " F\n", " \n", " \n", " 34\n", " coef_household_in_urban_area_child_mixed_party\n", - " -19.290030\n", + " -0.138857\n", " F\n", " \n", " \n", @@ -3905,7 +3863,7 @@ " \n", " 36\n", " coef_household_in_suburban_area_adult_mixed_party\n", - " -0.060070\n", + " 1.239881\n", " F\n", " \n", " \n", @@ -3923,73 +3881,73 @@ " \n", " 39\n", " coef_adult_more_automobiles_than_workers_adult...\n", - " 0.311671\n", + " 0.121220\n", " F\n", " \n", " \n", " 40\n", " coef_adult_more_automobiles_than_workers_mixed...\n", - " -1.827740\n", + " -0.591966\n", " F\n", " \n", " \n", " 41\n", " coef_child_more_automobiles_than_workers_child...\n", - " -0.394683\n", + " -0.421400\n", " F\n", " \n", " \n", " 42\n", " coef_child_more_automobiles_than_workers_mixed...\n", - " -1.551914\n", + " -0.366466\n", " F\n", " \n", " \n", " 43\n", " coef_dummy_for_high_income_for_adult_in_adult_...\n", - " 0.131783\n", + " -0.068202\n", " F\n", " \n", " \n", " 44\n", " coef_dummy_for_high_income_for_adult_in_mixed_...\n", - " -0.378918\n", + " 0.112930\n", " F\n", " \n", " \n", " 45\n", " coef_dummy_for_high_income_for_child_in_childr...\n", - " -0.561900\n", + " -0.211892\n", " F\n", " \n", " \n", " 46\n", " coef_dummy_for_high_income_for_child_in_mixed_...\n", - " -0.513571\n", + " -0.013740\n", " F\n", " \n", " \n", " 47\n", " coef_adult_number_of_joint_tours_adult_only\n", - " -2.134054\n", + " -0.794091\n", " F\n", " \n", " \n", " 48\n", " coef_adult_number_of_joint_tours_mixed\n", - " -28.572220\n", + " -1.417451\n", " F\n", " \n", " \n", " 49\n", " coef_child_number_of_joint_tours_child_only\n", - " 4.977604\n", + " 0.866122\n", " F\n", " \n", " \n", " 50\n", " coef_child_number_of_joint_tours_mixed\n", - " 17.894892\n", + " -0.261747\n", " F\n", " \n", " \n", @@ -4019,25 +3977,25 @@ " \n", " 55\n", " coef_adult_log_of_max_window_overlap_with_an_a...\n", - " 1.692145\n", + " 1.280678\n", " F\n", " \n", " \n", " 56\n", " coef_adult_log_of_max_window_overlap_with_a_ch...\n", - " 4.595737\n", + " 2.125116\n", " F\n", " \n", " \n", " 57\n", " coef_child_log_of_max_window_overlap_with_an_a...\n", - " 1.539267\n", + " 1.538000\n", " F\n", " \n", " \n", " 58\n", " coef_child_log_of_max_window_overlap_with_a_ch...\n", - " 1.275585\n", + " 1.296000\n", " F\n", " \n", " \n", @@ -4045,66 +4003,66 @@ "" ], "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_unavailable -999.000000 T\n", - "1 coef_full_time_worker_mixed_party -957.202749 F\n", - "2 coef_full_time_worker_mixed_party_not 0.500000 T\n", - "3 coef_part_time_worker_adults_only_party -3.248302 F\n", - "4 coef_part_time_worker_adults_only_party_not 0.500000 T\n", - "5 coef_part_time_worker_mixed_party 2254.660944 F\n", - "6 coef_university_student_mixed_party -958.612314 F\n", - "7 coef_non_worker_adults_only_party -4.080384 F\n", - "8 coef_non_worker_mixed_party -125.288137 F\n", - "9 coef_child_too_young_for_school_children_only_... -2.785631 F\n", - "10 coef_child_too_young_for_school_mixed_party 2.069934 F\n", - "11 coef_pre_driving_age_student_children_only_party 4.151085 F\n", - "12 coef_pre_driving_age_student_mixed_party 2.007228 F\n", - "13 coef_driving_age_student_children_only_party -1.822000 F\n", - "14 coef_driving_age_student_mixed_party -28.998969 F\n", - "15 coef_full_time_worker_specific_to_eating_out_j... 0.715700 F\n", - "16 coef_full_time_worker_specific_to_eating_out_j... 0.500000 T\n", - "17 coef_full_time_worker_specific_to_discretionar... 0.439200 F\n", - "18 coef_full_time_worker_specific_to_discretionar... 0.500000 T\n", - "19 coef_part_time_worker_specific_to_eating_out_j... 2.188000 F\n", - "20 coef_part_time_worker_specific_to_discretionar... 0.285000 F\n", - "21 coef_university_student_specific_to_eating_out... -0.820000 F\n", - "22 coef_university_student_specific_to_discretion... 0.000000 T\n", - "23 coef_non_worker_specific_to_eating_out_joint_t... 0.161700 F\n", - "24 coef_non_worker_specific_to_discretionary_join... -0.183500 F\n", - "25 coef_child_too_young_for_school_specific_to_ea... 0.658655 F\n", - "26 coef_child_too_young_for_school_specific_to_di... 0.128371 F\n", - "27 coef_pre_driving_age_student_specific_to_eatin... 1.391000 F\n", - "28 coef_pre_driving_age_student_specific_to_discr... 0.662600 F\n", - "29 coef_driving_age_student_specific_to_eating_ou... 2.344000 F\n", - "30 coef_driving_age_student_specific_to_discretio... -0.667500 F\n", - "31 coef_household_in_urban_area_adult_adult_only_... 0.000000 T\n", - "32 coef_household_in_urban_area_adult_mixed_party 978.504490 F\n", - "33 coef_household_in_urban_area_child_child_only_... 6.082784 F\n", - "34 coef_household_in_urban_area_child_mixed_party -19.290030 F\n", - "35 coef_household_in_suburban_area_adult_adult_on... 0.000000 T\n", - "36 coef_household_in_suburban_area_adult_mixed_party -0.060070 F\n", - "37 coef_household_in_suburban_area_child_child_on... 0.000000 T\n", - "38 coef_household_in_suburban_area_child_mixed_party 0.000000 T\n", - "39 coef_adult_more_automobiles_than_workers_adult... 0.311671 F\n", - "40 coef_adult_more_automobiles_than_workers_mixed... -1.827740 F\n", - "41 coef_child_more_automobiles_than_workers_child... -0.394683 F\n", - "42 coef_child_more_automobiles_than_workers_mixed... -1.551914 F\n", - "43 coef_dummy_for_high_income_for_adult_in_adult_... 0.131783 F\n", - "44 coef_dummy_for_high_income_for_adult_in_mixed_... -0.378918 F\n", - "45 coef_dummy_for_high_income_for_child_in_childr... -0.561900 F\n", - "46 coef_dummy_for_high_income_for_child_in_mixed_... -0.513571 F\n", - "47 coef_adult_number_of_joint_tours_adult_only -2.134054 F\n", - "48 coef_adult_number_of_joint_tours_mixed -28.572220 F\n", - "49 coef_child_number_of_joint_tours_child_only 4.977604 F\n", - "50 coef_child_number_of_joint_tours_mixed 17.894892 F\n", - "51 coef_adult_number_of_other_adults_in_the_house... 0.000000 T\n", - "52 coef_adult_number_of_other_adults_in_the_house... 0.000000 T\n", - "53 coef_child_number_of_other_children_in_the_hou... 0.000000 T\n", - "54 coef_child_number_of_other_children_in_the_hou... 0.000000 T\n", - "55 coef_adult_log_of_max_window_overlap_with_an_a... 1.692145 F\n", - "56 coef_adult_log_of_max_window_overlap_with_a_ch... 4.595737 F\n", - "57 coef_child_log_of_max_window_overlap_with_an_a... 1.539267 F\n", - "58 coef_child_log_of_max_window_overlap_with_a_ch... 1.275585 F" + " coefficient_name value constrain\n", + "0 coef_unavailable -999.000000 T\n", + "1 coef_full_time_worker_mixed_party -3.527365 F\n", + "2 coef_full_time_worker_mixed_party_not 0.500000 T\n", + "3 coef_part_time_worker_adults_only_party -3.631928 F\n", + "4 coef_part_time_worker_adults_only_party_not 0.500000 T\n", + "5 coef_part_time_worker_mixed_party -0.447984 F\n", + "6 coef_university_student_mixed_party -2.902637 F\n", + "7 coef_non_worker_adults_only_party -3.161945 F\n", + "8 coef_non_worker_mixed_party 1.059162 F\n", + "9 coef_child_too_young_for_school_children_only_... -1.149596 F\n", + "10 coef_child_too_young_for_school_mixed_party 0.197836 F\n", + "11 coef_pre_driving_age_student_children_only_party 0.991812 F\n", + "12 coef_pre_driving_age_student_mixed_party -0.073175 F\n", + "13 coef_driving_age_student_children_only_party -2.120496 F\n", + "14 coef_driving_age_student_mixed_party 0.322986 F\n", + "15 coef_full_time_worker_specific_to_eating_out_j... 0.715700 F\n", + "16 coef_full_time_worker_specific_to_eating_out_j... 0.500000 T\n", + "17 coef_full_time_worker_specific_to_discretionar... 0.439200 F\n", + "18 coef_full_time_worker_specific_to_discretionar... 0.500000 T\n", + "19 coef_part_time_worker_specific_to_eating_out_j... 2.188000 F\n", + "20 coef_part_time_worker_specific_to_discretionar... 0.285000 F\n", + "21 coef_university_student_specific_to_eating_out... -0.820000 F\n", + "22 coef_university_student_specific_to_discretion... 0.000000 T\n", + "23 coef_non_worker_specific_to_eating_out_joint_t... 0.161700 F\n", + "24 coef_non_worker_specific_to_discretionary_join... -0.183500 F\n", + "25 coef_child_too_young_for_school_specific_to_ea... 0.658900 F\n", + "26 coef_child_too_young_for_school_specific_to_di... 0.128400 F\n", + "27 coef_pre_driving_age_student_specific_to_eatin... 1.391000 F\n", + "28 coef_pre_driving_age_student_specific_to_discr... 0.662600 F\n", + "29 coef_driving_age_student_specific_to_eating_ou... 2.344000 F\n", + "30 coef_driving_age_student_specific_to_discretio... -0.667500 F\n", + "31 coef_household_in_urban_area_adult_adult_only_... 0.000000 T\n", + "32 coef_household_in_urban_area_adult_mixed_party 1.204039 F\n", + "33 coef_household_in_urban_area_child_child_only_... -0.145369 F\n", + "34 coef_household_in_urban_area_child_mixed_party -0.138857 F\n", + "35 coef_household_in_suburban_area_adult_adult_on... 0.000000 T\n", + "36 coef_household_in_suburban_area_adult_mixed_party 1.239881 F\n", + "37 coef_household_in_suburban_area_child_child_on... 0.000000 T\n", + "38 coef_household_in_suburban_area_child_mixed_party 0.000000 T\n", + "39 coef_adult_more_automobiles_than_workers_adult... 0.121220 F\n", + "40 coef_adult_more_automobiles_than_workers_mixed... -0.591966 F\n", + "41 coef_child_more_automobiles_than_workers_child... -0.421400 F\n", + "42 coef_child_more_automobiles_than_workers_mixed... -0.366466 F\n", + "43 coef_dummy_for_high_income_for_adult_in_adult_... -0.068202 F\n", + "44 coef_dummy_for_high_income_for_adult_in_mixed_... 0.112930 F\n", + "45 coef_dummy_for_high_income_for_child_in_childr... -0.211892 F\n", + "46 coef_dummy_for_high_income_for_child_in_mixed_... -0.013740 F\n", + "47 coef_adult_number_of_joint_tours_adult_only -0.794091 F\n", + "48 coef_adult_number_of_joint_tours_mixed -1.417451 F\n", + "49 coef_child_number_of_joint_tours_child_only 0.866122 F\n", + "50 coef_child_number_of_joint_tours_mixed -0.261747 F\n", + "51 coef_adult_number_of_other_adults_in_the_house... 0.000000 T\n", + "52 coef_adult_number_of_other_adults_in_the_house... 0.000000 T\n", + "53 coef_child_number_of_other_children_in_the_hou... 0.000000 T\n", + "54 coef_child_number_of_other_children_in_the_hou... 0.000000 T\n", + "55 coef_adult_log_of_max_window_overlap_with_an_a... 1.280678 F\n", + "56 coef_adult_log_of_max_window_overlap_with_a_ch... 2.125116 F\n", + "57 coef_child_log_of_max_window_overlap_with_an_a... 1.538000 F\n", + "58 coef_child_log_of_max_window_overlap_with_a_ch... 1.296000 F" ] }, "execution_count": 12, @@ -4124,7 +4082,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4138,7 +4096,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/13_joint_nonmand_tour_dest.ipynb b/activitysim/examples/example_estimation/notebooks/13_joint_nonmand_tour_dest.ipynb index 82fc07c16..20b9d7cac 100644 --- a/activitysim/examples/example_estimation/notebooks/13_joint_nonmand_tour_dest.ipynb +++ b/activitysim/examples/example_estimation/notebooks/13_joint_nonmand_tour_dest.ipynb @@ -28,30 +28,74 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import larch # !conda install larch #for estimation\n", + "import larch as lx\n", "import pandas as pd\n", - "import numpy as np\n", - "import yaml \n", - "import larch.util.excel\n", - "import os" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -65,19 +109,36 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], - "source": [ - "modelnames = (\"non_mandatory_tour_destination\", \"joint_tour_destination\")" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_destination/non_mandatory_tour_destination_size_terms.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/non_mandatory_tour_destination_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/joint_tour_destination_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/joint_tour_destination_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/joint_tour_destination_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/joint_tour_destination_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_destination/joint_tour_destination_size_terms.csv\n" + ] + } + ], "source": [ + "modelnames = (\"non_mandatory_tour_destination\", \"joint_tour_destination\")\n", + "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelnames, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelnames,\n", + " edb_directory=\"output-est-mode/estimation_data_bundle/{name}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -89,26 +150,6 @@ "all models in the group." ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "larch.model.model_group.ModelGroup" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "type(model)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -127,7 +168,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -272,7 +313,7 @@ "coef_othdiscr_dist_5_plus -0.1193 F" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -290,7 +331,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -315,148 +356,88 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", - " 8\n", - " ...\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", - " 190\n", + " alt_dest\n", + " variable_label0000\n", + " variable_label0001\n", + " variable_label0002\n", + " variable_label0003\n", + " variable_label0004\n", + " variable_label0005\n", + " variable_label0006\n", + " variable_label0007\n", + " variable_label0008\n", " \n", " \n", " \n", " \n", " 0\n", - " 6812\n", - " variable_label0001\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " ...\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", + " 1870\n", + " 8\n", " 1.0\n", + " 1.00\n", + " 2.06\n", + " 0.0\n", + " 0.0\n", + " 7.492867\n", + " False\n", + " -0.349936\n", + " 4.970833\n", " \n", " \n", " 1\n", - " 6812\n", - " variable_label0004\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 1870\n", + " 16\n", + " 1.0\n", + " 1.00\n", + " 2.74\n", " 0.0\n", " 0.0\n", + " 8.289751\n", + " False\n", + " -0.487843\n", + " 4.510890\n", " \n", " \n", " 2\n", - " 6812\n", - " variable_label0002\n", - " 1.3199999332427979\n", - " 1.0299999713897705\n", - " 0.8499999046325684\n", - " 1.190000057220459\n", - " 1.0299999713897705\n", - " 0.7799999713897705\n", - " 0.8399999141693115\n", - " 0.9900000095367432\n", - " ...\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 2.7800002098083496\n", - " 2.25\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", + " 1870\n", + " 17\n", + " 1.0\n", + " 1.00\n", + " 3.00\n", + " 0.1\n", + " 0.0\n", + " 7.651656\n", + " False\n", + " -0.537413\n", + " 5.289744\n", " \n", " \n", " 3\n", - " 6812\n", - " variable_label0003\n", - " 0.0\n", - " 0.0\n", - 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22410 rows × 192 columns

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"814 5.563462376541104 7.432773706720803 3.829901471825824 \n", - "815 False False False \n", - "816 5.61268490695845 3.809978548664433 7.98807577917251 \n", - "817 1.0 1.0 1.0 \n", - "818 -0.2398310223012045 -0.27770426926470554 -0.45370314739749773 \n", - "\n", - " 190 \n", - "0 1.0 \n", - "1 0.0 \n", - "2 1.9100000858306885 \n", - "3 0.0 \n", - "4 5.304200029706192 \n", - ".. ... \n", - "814 5.955267258796094 \n", - "815 False \n", - "816 5.735554926665741 \n", - "817 1.0 \n", - "818 -0.42464839165931 \n", - "\n", - "[819 rows x 192 columns]" + "[32631 rows x 11 columns]" ] }, - "execution_count": 8, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1143,7 +866,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -1178,48 +901,48 @@ " \n", " \n", " 0\n", - " 6812\n", - " 72\n", - " 72.0\n", - " 166\n", - " eatout\n", - " 71\n", + " 1870\n", + " 70\n", + " 26\n", + " 45\n", + " othdiscr\n", + " 52\n", " \n", " \n", " 1\n", - " 8110\n", - " 62\n", - " 47.0\n", - " 197\n", - " shopping\n", - " 80\n", + " 20468\n", + " 138\n", + " 161\n", + " 499\n", + " escort\n", + " 124\n", " \n", " \n", " 2\n", - " 11013\n", - " 33\n", - " 32.0\n", - " 268\n", - " othdiscr\n", - " 91\n", + " 27055\n", + " 133\n", + " 185\n", + " 659\n", + " social\n", + " 132\n", " \n", " \n", " 3\n", - " 11016\n", - " 71\n", - " 71.0\n", - " 268\n", - " othmaint\n", - " 91\n", + " 38877\n", + " 115\n", + " 147\n", + " 948\n", + " escort\n", + " 148\n", " \n", " \n", " 4\n", - " 15403\n", - " 67\n", - " 67.0\n", - " 375\n", - " othmaint\n", - " 105\n", + " 38904\n", + " 107\n", + " 104\n", + " 948\n", + " social\n", + " 148\n", " \n", " \n", " ...\n", @@ -1231,86 +954,86 @@ " ...\n", " \n", " \n", - " 2485\n", - " 309760814\n", - " 154\n", - " 154.0\n", - " 7555141\n", + " 29664\n", + " 310197956\n", + " 1374\n", + " 1384\n", + " 7565803\n", " shopping\n", - " 85\n", + " 1386\n", " \n", " \n", - " 2486\n", - " 309760815\n", - " 41\n", - " 41.0\n", - " 7555141\n", - " shopping\n", - " 85\n", + " 29665\n", + " 310202376\n", + " 1402\n", + " 1402\n", + " 7565911\n", + " othdiscr\n", + " 1402\n", " \n", " \n", - " 2487\n", - " 309790009\n", - " 36\n", - " 36.0\n", - " 7555853\n", - " social\n", - " 115\n", + " 29666\n", + " 310202384\n", + " 1402\n", + " 1402\n", + " 7565911\n", + " shopping\n", + " 1402\n", " \n", " \n", - " 2488\n", - " 309796968\n", - " 94\n", - " 94.0\n", - " 7556023\n", - " othdiscr\n", - " 136\n", + " 29667\n", + " 310212634\n", + " 1405\n", + " 1422\n", + " 7566161\n", + " shopping\n", + " 1421\n", " \n", " \n", - " 2489\n", - " 309796969\n", - " 129\n", - " 128.0\n", - " 7556023\n", - " othdiscr\n", - " 136\n", + " 29668\n", + " 310220296\n", + " 1156\n", + " 1430\n", + " 7566348\n", + " othmaint\n", + " 1437\n", " \n", " \n", "\n", - "

2490 rows × 6 columns

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29669 rows × 6 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 6812 72 72.0 166 eatout \n", - "1 8110 62 47.0 197 shopping \n", - "2 11013 33 32.0 268 othdiscr \n", - "3 11016 71 71.0 268 othmaint \n", - "4 15403 67 67.0 375 othmaint \n", - "... ... ... ... ... ... \n", - "2485 309760814 154 154.0 7555141 shopping \n", - "2486 309760815 41 41.0 7555141 shopping \n", - "2487 309790009 36 36.0 7555853 social \n", - "2488 309796968 94 94.0 7556023 othdiscr \n", - "2489 309796969 129 128.0 7556023 othdiscr \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 1870 70 26 45 othdiscr \n", + "1 20468 138 161 499 escort \n", + "2 27055 133 185 659 social \n", + "3 38877 115 147 948 escort \n", + "4 38904 107 104 948 social \n", + "... ... ... ... ... ... \n", + "29664 310197956 1374 1384 7565803 shopping \n", + "29665 310202376 1402 1402 7565911 othdiscr \n", + "29666 310202384 1402 1402 7565911 shopping \n", + "29667 310212634 1405 1422 7566161 shopping \n", + "29668 310220296 1156 1430 7566348 othmaint \n", "\n", - " home_zone_id \n", - "0 71 \n", - "1 80 \n", - "2 91 \n", - "3 91 \n", - "4 105 \n", - "... ... \n", - "2485 85 \n", - "2486 85 \n", - "2487 115 \n", - "2488 136 \n", - "2489 136 \n", + " home_zone_id \n", + "0 52 \n", + "1 124 \n", + "2 132 \n", + "3 148 \n", + "4 148 \n", + "... ... \n", + "29664 1386 \n", + "29665 1402 \n", + "29666 1402 \n", + "29667 1421 \n", + "29668 1437 \n", "\n", - "[2490 rows x 6 columns]" + "[29669 rows x 6 columns]" ] }, - "execution_count": 9, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1321,7 +1044,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1356,48 +1079,48 @@ " \n", " \n", " 0\n", - " 7785298\n", - " 113\n", - " 103.0\n", - " 189885\n", + " 7853686\n", + " 131\n", + " 131\n", + " 191553\n", " eatout\n", - " 135\n", + " 217\n", " \n", " \n", " 1\n", - " 8708454\n", - " 103\n", - " 106.0\n", - " 212401\n", - " eatout\n", - " 8\n", + " 7902318\n", + " 321\n", + " 323\n", + " 192739\n", + " shopping\n", + " 322\n", " \n", " \n", " 2\n", - " 9715006\n", - " 188\n", - " 188.0\n", - " 236951\n", + " 7909776\n", + " 350\n", + " 320\n", + " 192921\n", " othdiscr\n", - " 183\n", + " 330\n", " \n", " \n", " 3\n", - " 10831112\n", - " 105\n", - " 105.0\n", - " 264173\n", - " shopping\n", - " 10\n", + " 7988742\n", + " 527\n", + " 637\n", + " 194847\n", + " othdiscr\n", + " 526\n", " \n", " \n", " 4\n", - " 20334787\n", - " 157\n", - " 157.0\n", - " 495970\n", - " othmaint\n", - " 140\n", + " 8103874\n", + " 591\n", + " 687\n", + " 197655\n", + " shopping\n", + " 683\n", " \n", " \n", " ...\n", @@ -1409,86 +1132,86 @@ " ...\n", " \n", " \n", - " 86\n", - " 283676518\n", - " 115\n", - " 115.0\n", - " 6918939\n", - " shopping\n", - " 121\n", + " 1272\n", + " 303771147\n", + " 484\n", + " 673\n", + " 7409052\n", + " othdiscr\n", + " 675\n", " \n", " \n", - " 87\n", - " 295260168\n", - " 7\n", - " 7.0\n", - " 7201469\n", + " 1273\n", + " 304144212\n", + " 796\n", + " 843\n", + " 7418154\n", " social\n", - " 114\n", + " 806\n", " \n", " \n", - " 88\n", - " 297646485\n", - " 90\n", - " 89.0\n", - " 7259670\n", + " 1274\n", + " 304463637\n", + " 9\n", + " 38\n", + " 7425942\n", " othdiscr\n", - " 25\n", + " 1043\n", " \n", " \n", - " 89\n", - " 298814741\n", - " 147\n", - " 147.0\n", - " 7288164\n", - " othmaint\n", - " 74\n", + " 1275\n", + " 305125582\n", + " 29\n", + " 98\n", + " 7442087\n", + " othdiscr\n", + " 50\n", " \n", " \n", - " 90\n", - " 301810980\n", - " 66\n", - " 66.0\n", - " 7361244\n", - " othmaint\n", - " 177\n", + " 1276\n", + " 305246245\n", + " 2\n", + " 149\n", + " 7445030\n", + " othdiscr\n", + " 149\n", " \n", " \n", "\n", - "

91 rows × 6 columns

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1277 rows × 6 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 7785298 113 103.0 189885 eatout \n", - "1 8708454 103 106.0 212401 eatout \n", - "2 9715006 188 188.0 236951 othdiscr \n", - "3 10831112 105 105.0 264173 shopping \n", - "4 20334787 157 157.0 495970 othmaint \n", - ".. ... ... ... ... ... \n", - "86 283676518 115 115.0 6918939 shopping \n", - "87 295260168 7 7.0 7201469 social \n", - "88 297646485 90 89.0 7259670 othdiscr \n", - "89 298814741 147 147.0 7288164 othmaint \n", - "90 301810980 66 66.0 7361244 othmaint \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 7853686 131 131 191553 eatout \n", + "1 7902318 321 323 192739 shopping \n", + "2 7909776 350 320 192921 othdiscr \n", + "3 7988742 527 637 194847 othdiscr \n", + "4 8103874 591 687 197655 shopping \n", + "... ... ... ... ... ... \n", + "1272 303771147 484 673 7409052 othdiscr \n", + "1273 304144212 796 843 7418154 social \n", + "1274 304463637 9 38 7425942 othdiscr \n", + "1275 305125582 29 98 7442087 othdiscr \n", + "1276 305246245 2 149 7445030 othdiscr \n", "\n", - " home_zone_id \n", - "0 135 \n", - "1 8 \n", - "2 183 \n", - "3 10 \n", - "4 140 \n", - ".. ... \n", - "86 121 \n", - "87 114 \n", - "88 25 \n", - "89 74 \n", - "90 177 \n", + " home_zone_id \n", + "0 217 \n", + "1 322 \n", + "2 330 \n", + "3 526 \n", + "4 683 \n", + "... ... \n", + "1272 675 \n", + "1273 806 \n", + "1274 1043 \n", + "1275 50 \n", + "1276 149 \n", "\n", - "[91 rows x 6 columns]" + "[1277 rows x 6 columns]" ] }, - "execution_count": 10, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1506,7 +1229,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1592,9 +1315,9 @@ " 7\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 3\n", " 5.89564\n", " 2.875000\n", @@ -1616,9 +1339,9 @@ " 19\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.84871\n", " 5.195214\n", @@ -1640,9 +1363,9 @@ " 38\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.53231\n", " 80.470405\n", @@ -1664,9 +1387,9 @@ " 20\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 2\n", " 5.64330\n", " 7.947368\n", @@ -1688,9 +1411,9 @@ " 86\n", " ...\n", " 0\n", - " 0.00000\n", + " 0.0\n", " 72.14684\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.52555\n", " 38.187500\n", @@ -1723,191 +1446,191 @@ " ...\n", " \n", " \n", - " 186\n", - " 4\n", - " 4\n", - " 1\n", - " 2779\n", - " 8062\n", - " 376.0\n", - " 172.0\n", - " 15.00000\n", - " 1760\n", - " 1178\n", + " 1450\n", + " 34\n", + " 34\n", + " 9\n", + " 2724\n", + " 6493\n", + " 1320.0\n", + " 630.0\n", + " 69.00000\n", + " 1046\n", + " 1013\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 4\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.04173\n", - " 14.860963\n", - " 9.411765\n", - " 5.762347\n", + " 1.12116\n", + " 3.896996\n", + " 1.496423\n", + " 1.081235\n", " False\n", " \n", " \n", - " 187\n", - 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" 3.413233\n", + " 1.17587\n", + " 3.419152\n", + " 3.312402\n", + " 1.682465\n", " False\n", " \n", " \n", - " 189\n", - " 4\n", - " 4\n", - " 1\n", - " 3546\n", - " 8476\n", - " 201.0\n", - " 72.0\n", - " 6.00000\n", - " 226\n", - " 1057\n", + " 1453\n", + " 34\n", + " 34\n", + " 9\n", + " 298\n", + " 779\n", + " 14195.0\n", + " 429.0\n", + " 4.00000\n", + " 922\n", + " 88\n", " ...\n", - " 2\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - " 2.88773\n", - " 45.461538\n", - " 2.897436\n", - " 2.723836\n", + " 1.01972\n", + " 0.688222\n", + " 2.129330\n", + " 0.520115\n", " False\n", " \n", " \n", - " 190\n", - " 4\n", - " 4\n", - " 1\n", - " 968\n", - " 1647\n", - " 1381.0\n", - " 14.0\n", - " 28.00000\n", - " 1010\n", - " 114\n", + " 1454\n", + " 34\n", + " 34\n", + " 9\n", + " 1068\n", + " 2337\n", + " 10469.0\n", + " 1114.0\n", + " 27.00000\n", + " 607\n", + " 418\n", " ...\n", - " 3\n", - " 0.00000\n", - " 0.00000\n", + " 5\n", + " 0.0\n", " 0.00000\n", + " 0.0\n", " 1\n", - 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190 rows × 28 columns

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1454 rows × 28 columns

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" COLLPTE TOPOLOGY TERMINAL household_density \\\n", - "zone_id \n", - "1 0.00000 3 5.89564 2.875000 \n", - "2 0.00000 1 5.84871 5.195214 \n", - "3 0.00000 1 5.53231 80.470405 \n", - "4 0.00000 2 5.64330 7.947368 \n", - "5 0.00000 1 5.52555 38.187500 \n", - "... ... ... ... ... \n", - "186 0.00000 1 2.04173 14.860963 \n", - "187 0.00000 2 1.73676 11.841270 \n", - "188 11152.93652 1 2.28992 3.984127 \n", - "189 0.00000 1 2.88773 45.461538 \n", - "190 0.00000 1 2.60309 23.047619 \n", + " TOPOLOGY TERMINAL household_density employment_density \\\n", + "zone_id \n", + "1 3 5.89564 2.875000 1707.375000 \n", + "2 1 5.84871 5.195214 1631.374751 \n", + "3 1 5.53231 80.470405 736.891913 \n", + "4 2 5.64330 7.947368 1180.736842 \n", + "5 1 5.52555 38.187500 978.875000 \n", + "... ... ... ... ... \n", + "1450 1 1.12116 3.896996 1.496423 \n", + "1451 1 1.17116 4.777251 1.793839 \n", + "1452 1 1.17587 3.419152 3.312402 \n", + "1453 1 1.01972 0.688222 2.129330 \n", + "1454 1 0.95542 0.936021 0.531989 \n", "\n", - 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"execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -2141,7 +1864,7 @@ "7 1 " ] }, - "execution_count": 12, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -2159,7 +1882,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -2270,7 +1993,7 @@ "othdiscr 0.252 0.212 0.272 0.165 0.000 0.098" ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -2290,21 +2013,13 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 029 [Optimization terminated successfully]

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Iteration 046 [Optimization terminated successfully]

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Best LL = -13268.709190928732

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Best LL = -85747.12036028807

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" NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.579932\n", " \n", " \n", " coef_othmaint_dist_5_plus\n", - " -0.229655\n", + " -0.156745\n", + " -0.156745\n", " -0.109300\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.229655\n", " \n", " \n", " coef_shopping_dist_2_5\n", - " -0.629792\n", + " -0.704553\n", + " -0.704553\n", " -0.565500\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.629792\n", " \n", " \n", " coef_shopping_dist_5_plus\n", - " -0.130649\n", + " -0.234821\n", + " -0.234821\n", " -0.183200\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.130649\n", " \n", " \n", " coef_social_dist_2_5\n", - " -0.245175\n", + " -0.464176\n", + " -0.464176\n", " -0.348500\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.245175\n", " \n", " \n", " coef_social_dist_5_plus\n", - " -0.190239\n", + " -0.176446\n", + " -0.176446\n", " -0.130600\n", + " -25.000000\n", + " 25.000000\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.190239\n", " \n", " \n", " eatout_HEREMPN\n", - " -0.946877\n", + " -1.601448\n", + " -1.601448\n", " -1.354796\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -0.946877\n", " \n", " \n", " eatout_RETEMPN\n", " -0.298406\n", " -0.298406\n", + " -0.298406\n", + " -0.298406\n", + " -0.298406\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -0.298406\n", " \n", " \n", " escort_AGE0519\n", - " -1.171241\n", + " -0.765963\n", + " -0.765963\n", " -0.765718\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -1.171241\n", " \n", " \n", " escort_HEREMPN\n", - " -2.450057\n", + " -1.996310\n", + " -1.996310\n", " -1.937942\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -2.450057\n", " \n", " \n", " escort_HSENROLL\n", - " -3.304440\n", - " -1.795767\n", + " -1.872611\n", + " -1.872611\n", + " -1.795768\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -3.304440\n", " \n", " \n", " escort_RETEMPN\n", " -1.491655\n", " -1.491655\n", + " -1.491655\n", + " -1.491655\n", + " -1.491655\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -1.491655\n", " \n", " \n", " othdiscr_HEREMPN\n", - " -1.584964\n", + " -1.342128\n", + " -1.342128\n", " -1.301953\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -1.584964\n", " \n", " \n", " othdiscr_HSENROLL\n", - " -2.466750\n", + " -2.287886\n", + " -2.287886\n", " -2.322788\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -2.466750\n", " \n", " \n", " othdiscr_OTHEMPN\n", - " -2.370292\n", + " -1.905661\n", + " -1.905661\n", " -1.801810\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -2.370292\n", " \n", " \n", " othdiscr_RETEMPN\n", - " -1.238181\n", + " -1.550175\n", + " -1.550175\n", " -1.551169\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -1.238181\n", " \n", " \n", " othdiscr_TOTHH\n", " -1.378326\n", " -1.378326\n", + " -1.378326\n", + " -1.378326\n", + " -1.378326\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -1.378326\n", " \n", " \n", " othmaint_HEREMPN\n", - " -0.668952\n", + " -0.689025\n", + " -0.689025\n", " -0.657780\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -0.668952\n", " \n", " \n", " othmaint_RETEMPN\n", " -0.729811\n", " -0.729811\n", + " -0.729811\n", + " -0.729811\n", + " -0.729811\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -0.729811\n", " \n", " \n", " shopping_RETEMPN\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " social_HEREMPN\n", - " -0.302843\n", + " -0.831065\n", + " -0.831065\n", " -0.738145\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -0.302843\n", " \n", " \n", " social_RETEMPN\n", " -0.650088\n", " -0.650088\n", + " -0.650088\n", + " -0.650088\n", + " -0.650088\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -0.650088\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue nullvalue minimum \\\n", - "-999 -999.000000 -999.000000 -999.0 -999.0 \n", - "0 0.000000 0.000000 0.0 0.0 \n", - "1 1.000000 1.000000 1.0 1.0 \n", - "coef_eatout_dist_0_2 -0.767979 -0.560900 0.0 NaN \n", - "coef_eatout_dist_2_5 -0.226448 -0.319200 0.0 NaN \n", - "coef_eatout_dist_5_plus -0.188137 -0.123800 0.0 NaN \n", - "coef_escort_dist_0_2 0.226691 -0.149900 0.0 NaN \n", - "coef_escort_dist_2_5 -0.813494 -0.867100 0.0 NaN \n", - "coef_escort_dist_5_plus -0.255056 -0.213700 0.0 NaN \n", - "coef_mode_logsum 0.662937 0.675500 0.0 NaN \n", - "coef_othdiscr_dist_0_2 -0.203187 -0.167700 0.0 NaN \n", - "coef_othdiscr_dist_2_5 -0.550945 -0.495500 0.0 NaN \n", - "coef_othdiscr_dist_5_plus -0.000141 -0.119300 0.0 NaN \n", - "coef_othmaint_dist_2_5 -0.579932 -0.605500 0.0 NaN \n", - "coef_othmaint_dist_5_plus -0.229655 -0.109300 0.0 NaN \n", - "coef_shopping_dist_2_5 -0.629792 -0.565500 0.0 NaN \n", - "coef_shopping_dist_5_plus -0.130649 -0.183200 0.0 NaN \n", - "coef_social_dist_2_5 -0.245175 -0.348500 0.0 NaN \n", - "coef_social_dist_5_plus -0.190239 -0.130600 0.0 NaN \n", - "eatout_HEREMPN -0.946877 -1.354796 0.0 -6.0 \n", - "eatout_RETEMPN -0.298406 -0.298406 0.0 -6.0 \n", - "escort_AGE0519 -1.171241 -0.765718 0.0 -6.0 \n", - "escort_HEREMPN -2.450057 -1.937942 0.0 -6.0 \n", - "escort_HSENROLL -3.304440 -1.795767 0.0 -6.0 \n", - "escort_RETEMPN -1.491655 -1.491655 0.0 -6.0 \n", - "othdiscr_HEREMPN -1.584964 -1.301953 0.0 -6.0 \n", - "othdiscr_HSENROLL -2.466750 -2.322788 0.0 -6.0 \n", - "othdiscr_OTHEMPN -2.370292 -1.801810 0.0 -6.0 \n", - "othdiscr_RETEMPN -1.238181 -1.551169 0.0 -6.0 \n", - "othdiscr_TOTHH -1.378326 -1.378326 0.0 -6.0 \n", - "othmaint_HEREMPN -0.668952 -0.657780 0.0 -6.0 \n", - "othmaint_RETEMPN -0.729811 -0.729811 0.0 -6.0 \n", - "shopping_RETEMPN 0.000000 0.000000 0.0 -6.0 \n", - "social_HEREMPN -0.302843 -0.738145 0.0 -6.0 \n", - "social_RETEMPN -0.650088 -0.650088 0.0 -6.0 \n", + " value best initvalue minimum \\\n", + "param_name \n", + "-999 -999.000000 -999.000000 -999.000000 -999.000000 \n", + "0 0.000000 0.000000 0.000000 0.000000 \n", + "1 1.000000 1.000000 1.000000 1.000000 \n", + "coef_eatout_dist_0_2 -0.959646 -0.959646 -0.560900 -25.000000 \n", + "coef_eatout_dist_2_5 -0.427890 -0.427890 -0.319200 -25.000000 \n", + "coef_eatout_dist_5_plus -0.182199 -0.182199 -0.123800 -25.000000 \n", + "coef_escort_dist_0_2 -0.290871 -0.290871 -0.149900 -25.000000 \n", + "coef_escort_dist_2_5 -0.959038 -0.959038 -0.867100 -25.000000 \n", + "coef_escort_dist_5_plus -0.264682 -0.264682 -0.213700 -25.000000 \n", + "coef_mode_logsum 0.165346 0.165346 0.675500 -25.000000 \n", + "coef_othdiscr_dist_0_2 -0.424399 -0.424399 -0.167700 -25.000000 \n", + "coef_othdiscr_dist_2_5 -0.615669 -0.615669 -0.495500 -25.000000 \n", + "coef_othdiscr_dist_5_plus -0.171387 -0.171387 -0.119300 -25.000000 \n", + "coef_othmaint_dist_2_5 -0.796780 -0.796780 -0.605500 -25.000000 \n", + "coef_othmaint_dist_5_plus -0.156745 -0.156745 -0.109300 -25.000000 \n", + "coef_shopping_dist_2_5 -0.704553 -0.704553 -0.565500 -25.000000 \n", + "coef_shopping_dist_5_plus -0.234821 -0.234821 -0.183200 -25.000000 \n", + "coef_social_dist_2_5 -0.464176 -0.464176 -0.348500 -25.000000 \n", + "coef_social_dist_5_plus -0.176446 -0.176446 -0.130600 -25.000000 \n", + "eatout_HEREMPN -1.601448 -1.601448 -1.354796 -6.000000 \n", + "eatout_RETEMPN -0.298406 -0.298406 -0.298406 -0.298406 \n", + "escort_AGE0519 -0.765963 -0.765963 -0.765718 -6.000000 \n", + "escort_HEREMPN -1.996310 -1.996310 -1.937942 -6.000000 \n", + "escort_HSENROLL -1.872611 -1.872611 -1.795768 -6.000000 \n", + "escort_RETEMPN -1.491655 -1.491655 -1.491655 -1.491655 \n", + "othdiscr_HEREMPN -1.342128 -1.342128 -1.301953 -6.000000 \n", + "othdiscr_HSENROLL -2.287886 -2.287886 -2.322788 -6.000000 \n", + "othdiscr_OTHEMPN -1.905661 -1.905661 -1.801810 -6.000000 \n", + "othdiscr_RETEMPN -1.550175 -1.550175 -1.551169 -6.000000 \n", + "othdiscr_TOTHH -1.378326 -1.378326 -1.378326 -1.378326 \n", + "othmaint_HEREMPN -0.689025 -0.689025 -0.657780 -6.000000 \n", + "othmaint_RETEMPN -0.729811 -0.729811 -0.729811 -0.729811 \n", + "shopping_RETEMPN 0.000000 0.000000 0.000000 0.000000 \n", + "social_HEREMPN -0.831065 -0.831065 -0.738145 -6.000000 \n", + "social_RETEMPN -0.650088 -0.650088 -0.650088 -0.650088 \n", "\n", - " maximum holdfast note best \n", - "-999 -999.0 1 -999.000000 \n", - "0 0.0 1 0.000000 \n", - "1 1.0 1 1.000000 \n", - "coef_eatout_dist_0_2 NaN 0 -0.767979 \n", - "coef_eatout_dist_2_5 NaN 0 -0.226448 \n", - "coef_eatout_dist_5_plus NaN 0 -0.188137 \n", - "coef_escort_dist_0_2 NaN 0 0.226691 \n", - "coef_escort_dist_2_5 NaN 0 -0.813494 \n", - "coef_escort_dist_5_plus NaN 0 -0.255056 \n", - "coef_mode_logsum NaN 0 0.662937 \n", - "coef_othdiscr_dist_0_2 NaN 0 -0.203187 \n", - "coef_othdiscr_dist_2_5 NaN 0 -0.550945 \n", - "coef_othdiscr_dist_5_plus NaN 0 -0.000141 \n", - "coef_othmaint_dist_2_5 NaN 0 -0.579932 \n", - "coef_othmaint_dist_5_plus NaN 0 -0.229655 \n", - "coef_shopping_dist_2_5 NaN 0 -0.629792 \n", - "coef_shopping_dist_5_plus NaN 0 -0.130649 \n", - "coef_social_dist_2_5 NaN 0 -0.245175 \n", - "coef_social_dist_5_plus NaN 0 -0.190239 \n", - "eatout_HEREMPN 6.0 0 -0.946877 \n", - "eatout_RETEMPN 6.0 1 -0.298406 \n", - "escort_AGE0519 6.0 0 -1.171241 \n", - "escort_HEREMPN 6.0 0 -2.450057 \n", - "escort_HSENROLL 6.0 0 -3.304440 \n", - "escort_RETEMPN 6.0 1 -1.491655 \n", - "othdiscr_HEREMPN 6.0 0 -1.584964 \n", - "othdiscr_HSENROLL 6.0 0 -2.466750 \n", - "othdiscr_OTHEMPN 6.0 0 -2.370292 \n", - "othdiscr_RETEMPN 6.0 0 -1.238181 \n", - "othdiscr_TOTHH 6.0 1 -1.378326 \n", - "othmaint_HEREMPN 6.0 0 -0.668952 \n", - "othmaint_RETEMPN 6.0 1 -0.729811 \n", - "shopping_RETEMPN 6.0 1 0.000000 \n", - "social_HEREMPN 6.0 0 -0.302843 \n", - "social_RETEMPN 6.0 1 -0.650088 " + " maximum nullvalue holdfast \n", + "param_name \n", + "-999 -999.000000 0.0 1 \n", + "0 0.000000 0.0 1 \n", + "1 1.000000 0.0 1 \n", + "coef_eatout_dist_0_2 25.000000 0.0 0 \n", + "coef_eatout_dist_2_5 25.000000 0.0 0 \n", + "coef_eatout_dist_5_plus 25.000000 0.0 0 \n", + "coef_escort_dist_0_2 25.000000 0.0 0 \n", + "coef_escort_dist_2_5 25.000000 0.0 0 \n", + "coef_escort_dist_5_plus 25.000000 0.0 0 \n", + "coef_mode_logsum 25.000000 0.0 0 \n", + "coef_othdiscr_dist_0_2 25.000000 0.0 0 \n", + "coef_othdiscr_dist_2_5 25.000000 0.0 0 \n", + "coef_othdiscr_dist_5_plus 25.000000 0.0 0 \n", + "coef_othmaint_dist_2_5 25.000000 0.0 0 \n", + "coef_othmaint_dist_5_plus 25.000000 0.0 0 \n", + "coef_shopping_dist_2_5 25.000000 0.0 0 \n", + "coef_shopping_dist_5_plus 25.000000 0.0 0 \n", + "coef_social_dist_2_5 25.000000 0.0 0 \n", + "coef_social_dist_5_plus 25.000000 0.0 0 \n", + "eatout_HEREMPN 6.000000 0.0 0 \n", + "eatout_RETEMPN -0.298406 0.0 1 \n", + "escort_AGE0519 6.000000 0.0 0 \n", + "escort_HEREMPN 6.000000 0.0 0 \n", + "escort_HSENROLL 6.000000 0.0 0 \n", + "escort_RETEMPN -1.491655 0.0 1 \n", + "othdiscr_HEREMPN 6.000000 0.0 0 \n", + "othdiscr_HSENROLL 6.000000 0.0 0 \n", + "othdiscr_OTHEMPN 6.000000 0.0 0 \n", + "othdiscr_RETEMPN 6.000000 0.0 0 \n", + "othdiscr_TOTHH -1.378326 0.0 1 \n", + "othmaint_HEREMPN 6.000000 0.0 0 \n", + "othmaint_RETEMPN -0.729811 0.0 1 \n", + "shopping_RETEMPN 0.000000 0.0 1 \n", + "social_HEREMPN 6.000000 0.0 0 \n", + "social_RETEMPN -0.650088 0.0 1 " ] }, "metadata": {}, @@ -2850,71 +2541,71 @@ " \n", " \n", " coef_eatout_dist_0_2\n", - " -0.767979\n", + " -0.959646\n", " \n", " \n", " coef_eatout_dist_2_5\n", - " -0.226448\n", + " -0.427890\n", " \n", " \n", " coef_eatout_dist_5_plus\n", - " -0.188137\n", + " -0.182199\n", " \n", " \n", " coef_escort_dist_0_2\n", - " 0.226691\n", + " -0.290871\n", " \n", " \n", " coef_escort_dist_2_5\n", - " -0.813494\n", + " -0.959038\n", " \n", " \n", " coef_escort_dist_5_plus\n", - " -0.255056\n", + " -0.264682\n", " \n", " \n", " coef_mode_logsum\n", - " 0.662937\n", + " 0.165346\n", " \n", " \n", " coef_othdiscr_dist_0_2\n", - " -0.203187\n", + " -0.424399\n", " \n", " \n", " coef_othdiscr_dist_2_5\n", - " -0.550945\n", + " -0.615669\n", " \n", " \n", " coef_othdiscr_dist_5_plus\n", - " -0.000141\n", + " -0.171387\n", " \n", " \n", " coef_othmaint_dist_2_5\n", - " -0.579932\n", + " -0.796780\n", " \n", " \n", " coef_othmaint_dist_5_plus\n", - " -0.229655\n", + " -0.156745\n", " \n", " \n", " coef_shopping_dist_2_5\n", - " -0.629792\n", + " -0.704553\n", " \n", " \n", " coef_shopping_dist_5_plus\n", - " -0.130649\n", + " -0.234821\n", " \n", " \n", " coef_social_dist_2_5\n", - " -0.245175\n", + " -0.464176\n", " \n", " \n", " coef_social_dist_5_plus\n", - " -0.190239\n", + " -0.176446\n", " \n", " \n", " eatout_HEREMPN\n", - " -0.946877\n", + " -1.601448\n", " \n", " \n", " eatout_RETEMPN\n", @@ -2922,15 +2613,15 @@ " \n", " \n", " escort_AGE0519\n", - " -1.171241\n", + " -0.765963\n", " \n", " \n", " escort_HEREMPN\n", - " -2.450057\n", + " -1.996310\n", " \n", " \n", " escort_HSENROLL\n", - " -3.304440\n", + " -1.872611\n", " \n", " \n", " escort_RETEMPN\n", @@ -2938,19 +2629,19 @@ " \n", " \n", " othdiscr_HEREMPN\n", - " -1.584964\n", + " -1.342128\n", " \n", " \n", " othdiscr_HSENROLL\n", - " -2.466750\n", + " -2.287886\n", " \n", " \n", " othdiscr_OTHEMPN\n", - " -2.370292\n", + " -1.905661\n", " \n", " \n", " othdiscr_RETEMPN\n", - " -1.238181\n", + " -1.550175\n", " \n", " \n", " othdiscr_TOTHH\n", @@ -2958,7 +2649,7 @@ " \n", " \n", " othmaint_HEREMPN\n", - " -0.668952\n", + " -0.689025\n", " \n", " \n", " othmaint_RETEMPN\n", @@ -2970,14 +2661,14 @@ " \n", " \n", " social_HEREMPN\n", - " -0.302843\n", + " -0.831065\n", " \n", " \n", " social_RETEMPN\n", " -0.650088\n", " \n", " \n", - "loglike-13268.709190928732d_loglike\n", + "
logloss2.770862804895239d_logloss\n", " \n", " \n", " \n", @@ -2999,71 +2690,71 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3071,15 +2762,15 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3087,19 +2778,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3107,7 +2798,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3119,109 +2810,109 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - "
coef_eatout_dist_0_20.0003340.000068
coef_eatout_dist_2_50.0006060.000060
coef_eatout_dist_5_plus-0.0012540.000251
coef_escort_dist_0_20.0000040.000236
coef_escort_dist_2_5-0.001135-0.000043
coef_escort_dist_5_plus-0.0005190.000007
coef_mode_logsum0.000531-0.000027
coef_othdiscr_dist_0_2-0.001077-0.000193
coef_othdiscr_dist_2_5-0.001877-0.000067
coef_othdiscr_dist_5_plus-0.0013870.000015
coef_othmaint_dist_2_5-0.000112-0.000110
coef_othmaint_dist_5_plus-0.000787-0.000227
coef_shopping_dist_2_5-0.0002320.000147
coef_shopping_dist_5_plus-0.0007950.000482
coef_social_dist_2_5-0.000397-0.000027
coef_social_dist_5_plus0.000937-0.000062
eatout_HEREMPN-0.0002880.000078
eatout_RETEMPN
escort_AGE0519-0.000725-0.000137
escort_HEREMPN0.000389-0.000064
escort_HSENROLL-0.000033-0.000067
escort_RETEMPN
othdiscr_HEREMPN0.0013260.000065
othdiscr_HSENROLL0.0000250.000034
othdiscr_OTHEMPN0.000044-0.000049
othdiscr_RETEMPN-0.0002870.000009
othdiscr_TOTHH
othmaint_HEREMPN0.000035-0.000002
othmaint_RETEMPN
social_HEREMPN-0.000091-0.000084
social_RETEMPN0.000000
nit29nfev79njev29status0message'Optimization terminated successfully'successTrueelapsed_time0:00:07.087910method'SLSQP'n_cases2581iteration_number29logloss5.140917935268784" + "nit46nfev46njev46status0message'Optimization terminated successfully'successTrueelapsed_time0:00:06.714015method'slsqp'n_cases30946iteration_number46loglike-85747.12036028807" ], "text/plain": [ "┣ x: -999 -999.000000\n", "┃ 0 0.000000\n", "┃ 1 1.000000\n", - "┃ coef_eatout_dist_0_2 -0.767979\n", - "┃ coef_eatout_dist_2_5 -0.226448\n", - "┃ coef_eatout_dist_5_plus -0.188137\n", - "┃ coef_escort_dist_0_2 0.226691\n", - "┃ coef_escort_dist_2_5 -0.813494\n", - "┃ coef_escort_dist_5_plus -0.255056\n", - "┃ coef_mode_logsum 0.662937\n", - "┃ coef_othdiscr_dist_0_2 -0.203187\n", - "┃ coef_othdiscr_dist_2_5 -0.550945\n", - "┃ coef_othdiscr_dist_5_plus -0.000141\n", - "┃ coef_othmaint_dist_2_5 -0.579932\n", - "┃ coef_othmaint_dist_5_plus -0.229655\n", - "┃ coef_shopping_dist_2_5 -0.629792\n", - "┃ coef_shopping_dist_5_plus -0.130649\n", - "┃ coef_social_dist_2_5 -0.245175\n", - "┃ coef_social_dist_5_plus -0.190239\n", - "┃ eatout_HEREMPN -0.946877\n", + "┃ coef_eatout_dist_0_2 -0.959646\n", + "┃ coef_eatout_dist_2_5 -0.427890\n", + "┃ coef_eatout_dist_5_plus -0.182199\n", + "┃ coef_escort_dist_0_2 -0.290871\n", + "┃ coef_escort_dist_2_5 -0.959038\n", + "┃ coef_escort_dist_5_plus -0.264682\n", + "┃ coef_mode_logsum 0.165346\n", + "┃ coef_othdiscr_dist_0_2 -0.424399\n", + "┃ coef_othdiscr_dist_2_5 -0.615669\n", + "┃ coef_othdiscr_dist_5_plus -0.171387\n", + "┃ coef_othmaint_dist_2_5 -0.796780\n", + "┃ coef_othmaint_dist_5_plus -0.156745\n", + "┃ coef_shopping_dist_2_5 -0.704553\n", + "┃ coef_shopping_dist_5_plus -0.234821\n", + "┃ coef_social_dist_2_5 -0.464176\n", + "┃ coef_social_dist_5_plus -0.176446\n", + "┃ eatout_HEREMPN -1.601448\n", "┃ eatout_RETEMPN -0.298406\n", - "┃ escort_AGE0519 -1.171241\n", - "┃ escort_HEREMPN -2.450057\n", - "┃ escort_HSENROLL -3.304440\n", + "┃ escort_AGE0519 -0.765963\n", + "┃ escort_HEREMPN -1.996310\n", + "┃ escort_HSENROLL -1.872611\n", "┃ escort_RETEMPN -1.491655\n", - "┃ othdiscr_HEREMPN -1.584964\n", - "┃ othdiscr_HSENROLL -2.466750\n", - "┃ othdiscr_OTHEMPN -2.370292\n", - "┃ othdiscr_RETEMPN -1.238181\n", + "┃ othdiscr_HEREMPN -1.342128\n", + "┃ othdiscr_HSENROLL -2.287886\n", + "┃ othdiscr_OTHEMPN -1.905661\n", + "┃ othdiscr_RETEMPN -1.550175\n", "┃ othdiscr_TOTHH -1.378326\n", - "┃ othmaint_HEREMPN -0.668952\n", + "┃ othmaint_HEREMPN -0.689025\n", "┃ othmaint_RETEMPN -0.729811\n", "┃ shopping_RETEMPN 0.000000\n", - "┃ social_HEREMPN -0.302843\n", + "┃ social_HEREMPN -0.831065\n", "┃ social_RETEMPN -0.650088\n", "┃ dtype: float64\n", - "┣ loglike: -13268.709190928732\n", - "┣ d_loglike: -999 0.000000\n", + "┣ logloss: 2.770862804895239\n", + "┣ d_logloss: -999 0.000000\n", "┃ 0 0.000000\n", "┃ 1 0.000000\n", - "┃ coef_eatout_dist_0_2 0.000334\n", - "┃ coef_eatout_dist_2_5 0.000606\n", - "┃ coef_eatout_dist_5_plus -0.001254\n", - "┃ coef_escort_dist_0_2 0.000004\n", - "┃ coef_escort_dist_2_5 -0.001135\n", - "┃ coef_escort_dist_5_plus -0.000519\n", - "┃ coef_mode_logsum 0.000531\n", - "┃ coef_othdiscr_dist_0_2 -0.001077\n", - "┃ coef_othdiscr_dist_2_5 -0.001877\n", - "┃ coef_othdiscr_dist_5_plus -0.001387\n", - "┃ coef_othmaint_dist_2_5 -0.000112\n", - "┃ coef_othmaint_dist_5_plus -0.000787\n", - "┃ coef_shopping_dist_2_5 -0.000232\n", - "┃ coef_shopping_dist_5_plus -0.000795\n", - "┃ coef_social_dist_2_5 -0.000397\n", - "┃ coef_social_dist_5_plus 0.000937\n", - "┃ eatout_HEREMPN -0.000288\n", + "┃ coef_eatout_dist_0_2 0.000068\n", + "┃ coef_eatout_dist_2_5 0.000060\n", + "┃ coef_eatout_dist_5_plus 0.000251\n", + "┃ coef_escort_dist_0_2 0.000236\n", + "┃ coef_escort_dist_2_5 -0.000043\n", + "┃ coef_escort_dist_5_plus 0.000007\n", + "┃ coef_mode_logsum -0.000027\n", + "┃ coef_othdiscr_dist_0_2 -0.000193\n", + "┃ coef_othdiscr_dist_2_5 -0.000067\n", + "┃ coef_othdiscr_dist_5_plus 0.000015\n", + "┃ coef_othmaint_dist_2_5 -0.000110\n", + "┃ coef_othmaint_dist_5_plus -0.000227\n", + "┃ coef_shopping_dist_2_5 0.000147\n", + "┃ coef_shopping_dist_5_plus 0.000482\n", + "┃ coef_social_dist_2_5 -0.000027\n", + "┃ coef_social_dist_5_plus -0.000062\n", + "┃ eatout_HEREMPN 0.000078\n", "┃ eatout_RETEMPN 0.000000\n", - "┃ escort_AGE0519 -0.000725\n", - "┃ escort_HEREMPN 0.000389\n", - "┃ escort_HSENROLL -0.000033\n", + "┃ escort_AGE0519 -0.000137\n", + "┃ escort_HEREMPN -0.000064\n", + "┃ escort_HSENROLL -0.000067\n", "┃ escort_RETEMPN 0.000000\n", - "┃ othdiscr_HEREMPN 0.001326\n", - "┃ othdiscr_HSENROLL 0.000025\n", - "┃ othdiscr_OTHEMPN 0.000044\n", - "┃ othdiscr_RETEMPN -0.000287\n", + "┃ othdiscr_HEREMPN 0.000065\n", + "┃ othdiscr_HSENROLL 0.000034\n", + "┃ othdiscr_OTHEMPN -0.000049\n", + "┃ othdiscr_RETEMPN 0.000009\n", "┃ othdiscr_TOTHH 0.000000\n", - "┃ othmaint_HEREMPN 0.000035\n", + "┃ othmaint_HEREMPN -0.000002\n", "┃ othmaint_RETEMPN 0.000000\n", "┃ shopping_RETEMPN 0.000000\n", - "┃ social_HEREMPN -0.000091\n", + "┃ social_HEREMPN -0.000084\n", "┃ social_RETEMPN 0.000000\n", "┃ dtype: float64\n", - "┣ nit: 29\n", - "┣ nfev: 79\n", - "┣ njev: 29\n", + "┣ nit: 46\n", + "┣ nfev: 46\n", + "┣ njev: 46\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=7, microseconds=87910)\n", - "┣ method: 'SLSQP'\n", - "┣ n_cases: 2581\n", - "┣ iteration_number: 29\n", - "┣ logloss: 5.140917935268784" + "┣ elapsed_time: datetime.timedelta(seconds=6, microseconds=714015)\n", + "┣ method: 'slsqp'\n", + "┣ n_cases: 30946\n", + "┣ iteration_number: 46\n", + "┣ loglike: -85747.12036028807" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate(method='SLSQP')" + "model.estimate(maxiter=900)" ] }, { @@ -3233,309 +2924,333 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Null Value
-999-999. 0.00 NA-999.00
0 0.00 0.00 NA 0.00
1 1.00 0.00 NA 1.00
coef_eatout_dist_0_2-0.768 0.138-5.58*** 0.00
coef_eatout_dist_2_5-0.226 0.0689-3.29** 0.00
coef_eatout_dist_5_plus-0.188 0.105-1.80 0.00
coef_escort_dist_0_2 0.227 0.197 1.15 0.00
coef_escort_dist_2_5-0.813 0.0600-13.57*** 0.00
coef_escort_dist_5_plus-0.255 0.0751-3.39*** 0.00
coef_mode_logsum 0.663 0.0562 11.80*** 0.00
coef_othdiscr_dist_0_2-0.203 0.127-1.61 0.00
coef_othdiscr_dist_2_5-0.551 0.0530-10.39*** 0.00
coef_othdiscr_dist_5_plus-0.000141 0.0704-0.00 0.00
coef_othmaint_dist_2_5-0.580 0.0552-10.51*** 0.00
coef_othmaint_dist_5_plus-0.230 0.0903-2.54* 0.00
coef_shopping_dist_2_5-0.630 0.0445-14.16*** 0.00
coef_shopping_dist_5_plus-0.131 0.0623-2.10* 0.00
coef_social_dist_2_5-0.245 0.0817-3.00** 0.00
coef_social_dist_5_plus-0.190 0.129-1.48 0.00
eatout_HEREMPN-0.947 0.265-3.57*** 0.00
eatout_RETEMPN-0.298 0.00 NA 0.00
escort_AGE0519-1.17 0.413-2.84** 0.00
escort_HEREMPN-2.45 0.502-4.88*** 0.00
escort_HSENROLL-3.30 1.25-2.64** 0.00
escort_RETEMPN-1.49 0.00 NA 0.00
othdiscr_HEREMPN-1.58 0.284-5.58*** 0.00
othdiscr_HSENROLL-2.47 0.962-2.56* 0.00
othdiscr_OTHEMPN-2.37 0.595-3.98*** 0.00
othdiscr_RETEMPN-1.24 0.836-1.48 0.00
othdiscr_TOTHH-1.38 0.00 NA 0.00
othmaint_HEREMPN-0.669 0.275-2.44* 0.00
othmaint_RETEMPN-0.730 0.00 NA 0.00
shopping_RETEMPN 0.00 0.00 NA 0.00
social_HEREMPN-0.303 0.458-0.66 0.00
social_RETEMPN-0.650 0.00 NA 0.00
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 ValueStd Errt StatSignifNull Value
Parameter     
-999-999. 0.00 NA 0.00
0 0.00 0.00 NA 0.00
1 1.00 0.00 NA 0.00
coef_eatout_dist_0_2-0.960 0.0437-21.97*** 0.00
coef_eatout_dist_2_5-0.428 0.0207-20.70*** 0.00
coef_eatout_dist_5_plus-0.182 0.00484-37.68*** 0.00
coef_escort_dist_0_2-0.291 0.0329-8.85*** 0.00
coef_escort_dist_2_5-0.959 0.0161-59.53*** 0.00
coef_escort_dist_5_plus-0.265 0.00711-37.23*** 0.00
coef_mode_logsum 0.165 0.0124 13.36*** 0.00
coef_othdiscr_dist_0_2-0.424 0.0382-11.12*** 0.00
coef_othdiscr_dist_2_5-0.616 0.0146-42.26*** 0.00
coef_othdiscr_dist_5_plus-0.171 0.00349-49.12*** 0.00
coef_othmaint_dist_2_5-0.797 0.0158-50.41*** 0.00
coef_othmaint_dist_5_plus-0.157 0.00396-39.57*** 0.00
coef_shopping_dist_2_5-0.705 0.0120-58.52*** 0.00
coef_shopping_dist_5_plus-0.235 0.00446-52.69*** 0.00
coef_social_dist_2_5-0.464 0.0245-18.97*** 0.00
coef_social_dist_5_plus-0.176 0.00583-30.29*** 0.00
eatout_HEREMPN-1.60 0.0888-18.04*** 0.00
eatout_RETEMPN-0.298 0.00 NA 0.00
escort_AGE0519-0.766 0.185-4.15*** 0.00
escort_HEREMPN-2.00 0.229-8.71*** 0.00
escort_HSENROLL-1.87 0.200-9.36*** 0.00
escort_RETEMPN-1.49 0.00 NA 0.00
othdiscr_HEREMPN-1.34 0.0798-16.83*** 0.00
othdiscr_HSENROLL-2.29 0.182-12.56*** 0.00
othdiscr_OTHEMPN-1.91 0.128-14.93*** 0.00
othdiscr_RETEMPN-1.55 0.240-6.46*** 0.00
othdiscr_TOTHH-1.38 0.00 NA 0.00
othmaint_HEREMPN-0.689 0.0969-7.11*** 0.00
othmaint_RETEMPN-0.730 0.00 NA 0.00
shopping_RETEMPN 0.00 0.00 NA 0.00
social_HEREMPN-0.831 0.133-6.25*** 0.00
social_RETEMPN-0.650 0.00 NA 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -3556,7 +3271,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -3582,7 +3297,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -3591,7 +3306,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -3610,7 +3325,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -3767,14 +3482,14 @@ " escort\n", " non_mandatory\n", " 0.000000\n", - " 0.341950\n", + " 0.229722\n", " 0.000000\n", - " 0.131140\n", + " 0.138687\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.471104\n", - " 0.055806\n", + " 0.474643\n", + " 0.156948\n", " 0.000000\n", " 0.000000\n", " \n", @@ -3799,9 +3514,9 @@ " eatout\n", " non_mandatory\n", " 0.000000\n", - " 0.656666\n", + " 0.786346\n", " 0.000000\n", - " 0.343334\n", + " 0.213654\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -3815,9 +3530,9 @@ " othmaint\n", " non_mandatory\n", " 0.000000\n", - " 0.484790\n", + " 0.489805\n", " 0.000000\n", - " 0.515210\n", + " 0.510195\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -3831,9 +3546,9 @@ " social\n", " non_mandatory\n", " 0.000000\n", - " 0.414051\n", + " 0.545121\n", " 0.000000\n", - " 0.585949\n", + " 0.454879\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -3846,15 +3561,15 @@ " 12\n", " othdiscr\n", " non_mandatory\n", - " 0.272379\n", - " 0.313357\n", + " 0.258275\n", + " 0.217495\n", " 0.000000\n", - " 0.221530\n", - " 0.101011\n", + " 0.267795\n", + " 0.152428\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.091723\n", + " 0.104008\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4015,12 +3730,12 @@ "4 university school 0.000000 0.000000 0.000000 0.000000 \n", "5 gradeschool school 0.000000 0.000000 0.000000 0.000000 \n", "6 highschool school 0.000000 0.000000 0.000000 0.000000 \n", - "7 escort non_mandatory 0.000000 0.341950 0.000000 0.131140 \n", + "7 escort non_mandatory 0.000000 0.229722 0.000000 0.138687 \n", "8 shopping non_mandatory 0.000000 1.000000 0.000000 0.000000 \n", - "9 eatout non_mandatory 0.000000 0.656666 0.000000 0.343334 \n", - "10 othmaint non_mandatory 0.000000 0.484790 0.000000 0.515210 \n", - "11 social non_mandatory 0.000000 0.414051 0.000000 0.585949 \n", - "12 othdiscr non_mandatory 0.272379 0.313357 0.000000 0.221530 \n", + "9 eatout non_mandatory 0.000000 0.786346 0.000000 0.213654 \n", + "10 othmaint non_mandatory 0.000000 0.489805 0.000000 0.510195 \n", + "11 social non_mandatory 0.000000 0.545121 0.000000 0.454879 \n", + "12 othdiscr non_mandatory 0.258275 0.217495 0.000000 0.267795 \n", "13 atwork atwork 0.000000 0.742000 0.000000 0.258000 \n", "14 work trip 0.000000 0.166667 0.166667 0.166667 \n", "15 escort trip 0.001000 0.225000 0.000000 0.144000 \n", @@ -4039,12 +3754,12 @@ "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.592000 0.408000 \n", "5 0.000000 0.000000 0.000000 1.000000 0.000000 0.000000 0.000000 \n", "6 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 0.000000 \n", - "7 0.000000 0.000000 0.000000 0.471104 0.055806 0.000000 0.000000 \n", + "7 0.000000 0.000000 0.000000 0.474643 0.156948 0.000000 0.000000 \n", "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "9 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "10 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.101011 0.000000 0.000000 0.000000 0.091723 0.000000 0.000000 \n", + "12 0.152428 0.000000 0.000000 0.000000 0.104008 0.000000 0.000000 \n", "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "14 0.166667 0.166667 0.166667 0.000000 0.000000 0.000000 0.000000 \n", "15 0.000000 0.000000 0.000000 0.464000 0.166000 0.000000 0.000000 \n", @@ -4056,7 +3771,7 @@ "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.591409 0.407592 " ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -4085,7 +3800,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -4113,7 +3828,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -4146,19 +3861,19 @@ " \n", " 0\n", " coef_mode_logsum\n", - " 0.662937\n", + " 0.165346\n", " F\n", " \n", " \n", " 1\n", " coef_escort_dist_0_2\n", - " 0.226691\n", + " -0.290871\n", " F\n", " \n", " \n", " 2\n", " coef_eatout_dist_0_2\n", - " -0.767979\n", + " -0.959646\n", " F\n", " \n", " \n", @@ -4170,79 +3885,79 @@ " \n", " 4\n", " coef_othdiscr_dist_0_2\n", - " -0.203187\n", + " -0.424399\n", " F\n", " \n", " \n", " 5\n", " coef_escort_dist_2_5\n", - " -0.813494\n", + " -0.959038\n", " F\n", " \n", " \n", " 6\n", " coef_shopping_dist_2_5\n", - " -0.629792\n", + " -0.704553\n", " F\n", " \n", " \n", " 7\n", " coef_eatout_dist_2_5\n", - " -0.226448\n", + " -0.427890\n", " F\n", " \n", " \n", " 8\n", " coef_othmaint_dist_2_5\n", - " -0.579932\n", + " -0.796780\n", " F\n", " \n", " \n", " 9\n", " coef_social_dist_2_5\n", - " -0.245175\n", + " -0.464176\n", " F\n", " \n", " \n", " 10\n", " coef_othdiscr_dist_2_5\n", - " -0.550945\n", + " -0.615669\n", " F\n", " \n", " \n", " 11\n", " coef_escort_dist_5_plus\n", - " -0.255056\n", + " -0.264682\n", " F\n", " \n", " \n", " 12\n", " coef_shopping_dist_5_plus\n", - " -0.130649\n", + " -0.234821\n", " F\n", " \n", " \n", " 13\n", " coef_eatout_dist_5_plus\n", - " -0.188137\n", + " -0.182199\n", " F\n", " \n", " \n", " 14\n", " coef_othmaint_dist_5_plus\n", - " -0.229655\n", + " -0.156745\n", " F\n", " \n", " \n", " 15\n", " coef_social_dist_5_plus\n", - " -0.190239\n", + " -0.176446\n", " F\n", " \n", " \n", " 16\n", " coef_othdiscr_dist_5_plus\n", - " -0.000141\n", + " -0.171387\n", " F\n", " \n", " \n", @@ -4251,26 +3966,26 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coef_mode_logsum 0.662937 F\n", - "1 coef_escort_dist_0_2 0.226691 F\n", - "2 coef_eatout_dist_0_2 -0.767979 F\n", + "0 coef_mode_logsum 0.165346 F\n", + "1 coef_escort_dist_0_2 -0.290871 F\n", + "2 coef_eatout_dist_0_2 -0.959646 F\n", "3 coef_eatout_social_0_2 -0.560900 F\n", - "4 coef_othdiscr_dist_0_2 -0.203187 F\n", - "5 coef_escort_dist_2_5 -0.813494 F\n", - "6 coef_shopping_dist_2_5 -0.629792 F\n", - "7 coef_eatout_dist_2_5 -0.226448 F\n", - "8 coef_othmaint_dist_2_5 -0.579932 F\n", - "9 coef_social_dist_2_5 -0.245175 F\n", - "10 coef_othdiscr_dist_2_5 -0.550945 F\n", - "11 coef_escort_dist_5_plus -0.255056 F\n", - "12 coef_shopping_dist_5_plus -0.130649 F\n", - "13 coef_eatout_dist_5_plus -0.188137 F\n", - "14 coef_othmaint_dist_5_plus -0.229655 F\n", - "15 coef_social_dist_5_plus -0.190239 F\n", - "16 coef_othdiscr_dist_5_plus -0.000141 F" + "4 coef_othdiscr_dist_0_2 -0.424399 F\n", + "5 coef_escort_dist_2_5 -0.959038 F\n", + "6 coef_shopping_dist_2_5 -0.704553 F\n", + "7 coef_eatout_dist_2_5 -0.427890 F\n", + "8 coef_othmaint_dist_2_5 -0.796780 F\n", + "9 coef_social_dist_2_5 -0.464176 F\n", + "10 coef_othdiscr_dist_2_5 -0.615669 F\n", + "11 coef_escort_dist_5_plus -0.264682 F\n", + "12 coef_shopping_dist_5_plus -0.234821 F\n", + "13 coef_eatout_dist_5_plus -0.182199 F\n", + "14 coef_othmaint_dist_5_plus -0.156745 F\n", + "15 coef_social_dist_5_plus -0.176446 F\n", + "16 coef_othdiscr_dist_5_plus -0.171387 F" ] }, - "execution_count": 21, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -4281,7 +3996,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -4447,14 +4162,14 @@ " escort\n", " non_mandatory\n", " 0.000000\n", - " 0.341950\n", + " 0.229722\n", " 0.000000\n", - " 0.131140\n", + " 0.138687\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.471104\n", - " 0.055806\n", + " 0.474643\n", + " 0.156948\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4481,9 +4196,9 @@ " eatout\n", " non_mandatory\n", " 0.000000\n", - " 0.656666\n", + " 0.786346\n", " 0.000000\n", - " 0.343334\n", + " 0.213654\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4498,9 +4213,9 @@ " othmaint\n", " non_mandatory\n", " 0.000000\n", - " 0.484790\n", + " 0.489805\n", " 0.000000\n", - " 0.515210\n", + " 0.510195\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4515,9 +4230,9 @@ " social\n", " non_mandatory\n", " 0.000000\n", - " 0.414051\n", + " 0.545121\n", " 0.000000\n", - " 0.585949\n", + " 0.454879\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4531,15 +4246,15 @@ " 12\n", " othdiscr\n", " non_mandatory\n", - " 0.272379\n", - " 0.313357\n", + " 0.258275\n", + " 0.217495\n", " 0.000000\n", - " 0.221530\n", - " 0.101011\n", + " 0.267795\n", + " 0.152428\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.091723\n", + " 0.104008\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4709,12 +4424,12 @@ "4 4 university school 0.000000 0.000000 0.000000 \n", "5 5 gradeschool school 0.000000 0.000000 0.000000 \n", "6 6 highschool school 0.000000 0.000000 0.000000 \n", - "7 7 escort non_mandatory 0.000000 0.341950 0.000000 \n", + "7 7 escort non_mandatory 0.000000 0.229722 0.000000 \n", "8 8 shopping non_mandatory 0.000000 1.000000 0.000000 \n", - "9 9 eatout non_mandatory 0.000000 0.656666 0.000000 \n", - "10 10 othmaint non_mandatory 0.000000 0.484790 0.000000 \n", - "11 11 social non_mandatory 0.000000 0.414051 0.000000 \n", - "12 12 othdiscr non_mandatory 0.272379 0.313357 0.000000 \n", + "9 9 eatout non_mandatory 0.000000 0.786346 0.000000 \n", + "10 10 othmaint non_mandatory 0.000000 0.489805 0.000000 \n", + "11 11 social non_mandatory 0.000000 0.545121 0.000000 \n", + "12 12 othdiscr non_mandatory 0.258275 0.217495 0.000000 \n", "13 13 atwork atwork 0.000000 0.742000 0.000000 \n", "14 14 work trip 0.000000 0.166667 0.166667 \n", "15 15 escort trip 0.001000 0.225000 0.000000 \n", @@ -4733,12 +4448,12 @@ "4 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.592000 \n", "5 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 0.000000 \n", "6 0.000000 0.000000 0.000000 0.000000 0.000000 1.000000 0.000000 \n", - "7 0.131140 0.000000 0.000000 0.000000 0.471104 0.055806 0.000000 \n", + "7 0.138687 0.000000 0.000000 0.000000 0.474643 0.156948 0.000000 \n", "8 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "9 0.343334 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "10 0.515210 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "11 0.585949 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "12 0.221530 0.101011 0.000000 0.000000 0.000000 0.091723 0.000000 \n", + "9 0.213654 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "10 0.510195 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "11 0.454879 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "12 0.267795 0.152428 0.000000 0.000000 0.000000 0.104008 0.000000 \n", "13 0.258000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "14 0.166667 0.166667 0.166667 0.166667 0.000000 0.000000 0.000000 \n", "15 0.144000 0.000000 0.000000 0.000000 0.464000 0.166000 0.000000 \n", @@ -4774,7 +4489,7 @@ "21 0.407592 " ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -4791,7 +4506,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4805,7 +4520,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/14_joint_tour_scheduling.ipynb b/activitysim/examples/example_estimation/notebooks/14_joint_tour_scheduling.ipynb index c2973c29b..b05d68490 100644 --- a/activitysim/examples/example_estimation/notebooks/14_joint_tour_scheduling.ipynb +++ b/activitysim/examples/example_estimation/notebooks/14_joint_tour_scheduling.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,28 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/joint_tour_scheduling/tour_scheduling_joint_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_scheduling/joint_tour_scheduling_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_scheduling/joint_tour_scheduling_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/joint_tour_scheduling/joint_tour_scheduling_choosers_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"joint_tour_scheduling\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -746,28 +809,28 @@ " 30\n", " util_adjacent_window_exists_before_this_depart...\n", " Adjacent window exists before this departure h...\n", - " @(df.tour_type_count>1) & (df.tour_type_num ==...\n", + " @(df.tour_type_count>1) * (df.tour_type_num ==...\n", " coef_adjacent_window_exists_before_this_depart...\n", " \n", " \n", " 31\n", " util_adjacent_window_exists_after_this_arrival...\n", " Adjacent window exists after this arrival hour...\n", - " @(df.tour_type_count>1) & (df.tour_type_num ==...\n", + " @(df.tour_type_count>1) * (df.tour_type_num ==...\n", " coef_adjacent_window_exists_after_this_arrival...\n", " \n", " \n", " 32\n", " util_adjacent_window_exists_before_this_depart...\n", " Adjacent window exists before this departure h...\n", - " @(df.tour_type_num > 1) & _adjacent_window_before\n", + " @(df.tour_type_num > 1) * _adjacent_window_before\n", " coef_adjacent_window_exists_before_this_depart...\n", " \n", " \n", " 33\n", " util_adjacent_window_exists_after_this_arrival...\n", " Adjacent window exists after this arrival hour...\n", - " @(df.tour_type_num > 1) & _adjacent_window_after\n", + " @(df.tour_type_num > 1) * _adjacent_window_after\n", " coef_adjacent_window_exists_after_this_arrival...\n", " \n", " \n", @@ -1115,10 +1178,10 @@ "25 adult & (num_children > 0) & ( end > 18 ) & ( ... \n", "28 @tt.previous_tour_ends(df.tour_id, df.start) \n", "29 @tt.previous_tour_begins(df.tour_id, df.end) \n", - "30 @(df.tour_type_count>1) & (df.tour_type_num ==... \n", - "31 @(df.tour_type_count>1) & (df.tour_type_num ==... \n", - "32 @(df.tour_type_num > 1) & _adjacent_window_before \n", - "33 @(df.tour_type_num > 1) & _adjacent_window_after \n", + "30 @(df.tour_type_count>1) * (df.tour_type_num ==... \n", + "31 @(df.tour_type_count>1) * (df.tour_type_num ==... \n", + "32 @(df.tour_type_num > 1) * _adjacent_window_before \n", + "33 @(df.tour_type_num > 1) * _adjacent_window_after \n", "34 (tour_type != 'escort') & (start < 6) \n", "35 (tour_type != 'escort') & (start == 6) \n", "36 (tour_type != 'escort') & (start == 7) \n", @@ -1262,14 +1325,14 @@ " tour_count\n", " tour_category\n", " ...\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", - " tour_id.1\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " start_previous\n", " end_previous\n", " \n", @@ -1277,10 +1340,10 @@ " \n", " \n", " 0\n", - " 7785298\n", - " 146\n", - " 146\n", - " 189885\n", + " 7853686\n", + " 115\n", + " 104\n", + " 191553\n", " eatout\n", " 1\n", " 1\n", @@ -1288,47 +1351,47 @@ " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 2.94885\n", - " 23.215385\n", - " 11.646154\n", - " 7.755537\n", - " False\n", - " 7785298\n", + " 10.032432\n", + " 12.426053\n", + " 4.842958\n", + " 6.577576\n", + " 4.825284\n", + " 6.554185\n", + " 5.384032\n", + " 6.267720\n", " 5\n", " 5\n", " \n", " \n", " 1\n", - " 8708454\n", - " 145\n", - " 145\n", - " 212401\n", - " eatout\n", + " 7902318\n", + " 127\n", + " 91\n", + " 192739\n", + " shopping\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 2\n", - " 4.64648\n", - " 196.395950\n", - " 178.779465\n", - " 93.587057\n", - " False\n", - " 8708454\n", + " 9.804714\n", + " 12.378032\n", + " 2.085722\n", + " 3.940109\n", + " 2.097132\n", + " 3.946235\n", + " 4.015752\n", + " 6.526846\n", " 5\n", " 5\n", " \n", " \n", " 2\n", - " 9715006\n", - " 115\n", - " 115\n", - " 236951\n", + " 7909776\n", + " 90\n", + " 105\n", + " 192921\n", " othdiscr\n", " 1\n", " 1\n", @@ -1336,62 +1399,62 @@ " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 2.08699\n", - " 16.952703\n", - " 7.608108\n", - " 5.251374\n", - " False\n", - " 9715006\n", + " 9.924635\n", + " 12.521312\n", + " 1.451325\n", + " 3.811134\n", + " 1.458624\n", + " 3.813040\n", + " 4.422027\n", + " 6.644415\n", " 5\n", " 5\n", " \n", " \n", " 3\n", - " 10831112\n", - " 115\n", - " 115\n", - " 264173\n", - " shopping\n", + " 7988742\n", + " 101\n", + " 101\n", + " 194847\n", + " othdiscr\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 3\n", - " 4.73802\n", - " 117.769796\n", - " 246.205869\n", - " 79.663609\n", - " False\n", - " 10831112\n", + " 10.124314\n", + " 12.525120\n", + " 2.760744\n", + " 4.989736\n", + " 2.749302\n", + " 4.964188\n", + " 4.106787\n", + " 6.259962\n", " 5\n", " 5\n", " \n", " \n", " 4\n", - " 20334787\n", - " 37\n", - " 37\n", - " 495970\n", - " othmaint\n", + " 8103874\n", + " 74\n", + " 74\n", + " 197655\n", + " shopping\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 2.17734\n", - " 17.968750\n", - " 4.109375\n", - " 3.344502\n", - " False\n", - " 20334787\n", + " 9.966499\n", + " 12.292832\n", + " 2.097899\n", + " 4.282017\n", + " 0.920538\n", + " 2.790691\n", + " 5.043413\n", + " 6.194205\n", " 5\n", " 5\n", " \n", @@ -1420,35 +1483,35 @@ " ...\n", " \n", " \n", - " 86\n", - " 283676518\n", - " 145\n", - " 145\n", - " 6918939\n", - " shopping\n", + " 1272\n", + " 303771147\n", + " 171\n", + " 171\n", + " 7409052\n", + " othdiscr\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 2.18894\n", - " 20.746032\n", - " 9.793651\n", - " 6.652963\n", - " False\n", - " 283676518\n", + " 9.795165\n", + " 12.124129\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 4.666818\n", + " 6.381846\n", " 5\n", " 5\n", " \n", " \n", - " 87\n", - " 295260168\n", - " 158\n", - " 158\n", - " 7201469\n", + " 1273\n", + " 304144212\n", + " 77\n", + " 126\n", + " 7418154\n", " social\n", " 1\n", " 1\n", @@ -1456,23 +1519,23 @@ " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 3.19780\n", - " 25.035085\n", - " 34.002224\n", - " 14.418824\n", - " False\n", - " 295260168\n", + " 9.808362\n", + " 12.224503\n", + " 0.198489\n", + " 0.838468\n", + " 0.197857\n", + " 0.826233\n", + " 5.214767\n", + " 7.781673\n", " 5\n", " 5\n", " \n", " \n", - " 88\n", - " 297646485\n", - " 104\n", - " 104\n", - " 7259670\n", + " 1274\n", + " 304463637\n", + " 138\n", + " 127\n", + " 7425942\n", " othdiscr\n", " 1\n", " 1\n", @@ -1480,124 +1543,124 @@ " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 4.89113\n", - " 193.875000\n", - " 201.000000\n", - " 98.686610\n", - " False\n", - " 297646485\n", + " 9.674598\n", + " 12.273909\n", + " 2.314454\n", + " 5.062339\n", + " 2.170577\n", + " 4.928170\n", + " 3.927607\n", + " 5.937753\n", " 5\n", " 5\n", " \n", " \n", - " 89\n", - " 298814741\n", - " 74\n", - " 74\n", - " 7288164\n", - " othmaint\n", + " 1275\n", + " 305125582\n", + " 156\n", + " 177\n", + " 7442087\n", + " othdiscr\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 4.29646\n", - " 57.195122\n", - " 95.975610\n", - " 35.838026\n", - " True\n", - " 298814741\n", + " 10.150831\n", + " 12.839956\n", + " 6.746949\n", + " 9.644580\n", + " 6.245710\n", + " 8.925880\n", + " 6.393693\n", + " 8.676755\n", " 5\n", " 5\n", " \n", " \n", - " 90\n", - " 301810980\n", + " 1276\n", + " 305246245\n", " 54\n", " 54\n", - " 7361244\n", - " othmaint\n", + " 7445030\n", + " othdiscr\n", " 1\n", " 1\n", " 1\n", " 1\n", " joint\n", " ...\n", - " 0.0\n", - " 1\n", - " 2.47787\n", - " 23.993197\n", - " 11.945578\n", - " 7.975024\n", - " False\n", - " 301810980\n", + " 10.154352\n", + " 12.772396\n", + " 5.492171\n", + " 8.363419\n", + " 5.092918\n", + " 7.921567\n", + " 4.507081\n", + " 7.061687\n", " 5\n", " 5\n", " \n", " \n", "\n", - "

91 rows × 151 columns

\n", + "

1277 rows × 150 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 7785298 146 146 189885 eatout \n", - "1 8708454 145 145 212401 eatout \n", - "2 9715006 115 115 236951 othdiscr \n", - "3 10831112 115 115 264173 shopping \n", - "4 20334787 37 37 495970 othmaint \n", - ".. ... ... ... ... ... \n", - "86 283676518 145 145 6918939 shopping \n", - "87 295260168 158 158 7201469 social \n", - "88 297646485 104 104 7259670 othdiscr \n", - "89 298814741 74 74 7288164 othmaint \n", - "90 301810980 54 54 7361244 othmaint \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 7853686 115 104 191553 eatout \n", + "1 7902318 127 91 192739 shopping \n", + "2 7909776 90 105 192921 othdiscr \n", + "3 7988742 101 101 194847 othdiscr \n", + "4 8103874 74 74 197655 shopping \n", + "... ... ... ... ... ... \n", + "1272 303771147 171 171 7409052 othdiscr \n", + "1273 304144212 77 126 7418154 social \n", + "1274 304463637 138 127 7425942 othdiscr \n", + "1275 305125582 156 177 7442087 othdiscr \n", + "1276 305246245 54 54 7445030 othdiscr \n", "\n", - " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", - "0 1 1 1 1 joint ... \n", - "1 1 1 1 1 joint ... \n", - "2 1 1 1 1 joint ... \n", - "3 1 1 1 1 joint ... \n", - "4 1 1 1 1 joint ... \n", - ".. ... ... ... ... ... ... \n", - "86 1 1 1 1 joint ... \n", - "87 1 1 1 1 joint ... \n", - "88 1 1 1 1 joint ... \n", - "89 1 1 1 1 joint ... \n", - "90 1 1 1 1 joint ... \n", + " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", + "0 1 1 1 1 joint ... \n", + "1 1 1 1 1 joint ... \n", + "2 1 1 1 1 joint ... \n", + "3 1 1 1 1 joint ... \n", + "4 1 1 1 1 joint ... \n", + "... ... ... ... ... ... ... \n", + "1272 1 1 1 1 joint ... \n", + "1273 1 1 1 1 joint ... \n", + "1274 1 1 1 1 joint ... \n", + "1275 1 1 1 1 joint ... \n", + "1276 1 1 1 1 joint ... \n", "\n", - " COLLPTE TOPOLOGY TERMINAL household_density employment_density \\\n", - "0 0.0 1 2.94885 23.215385 11.646154 \n", - "1 0.0 2 4.64648 196.395950 178.779465 \n", - "2 0.0 1 2.08699 16.952703 7.608108 \n", - "3 0.0 3 4.73802 117.769796 246.205869 \n", - "4 0.0 1 2.17734 17.968750 4.109375 \n", - ".. ... ... ... ... ... \n", - "86 0.0 1 2.18894 20.746032 9.793651 \n", - "87 0.0 1 3.19780 25.035085 34.002224 \n", - "88 0.0 1 4.89113 193.875000 201.000000 \n", - "89 0.0 1 4.29646 57.195122 95.975610 \n", - "90 0.0 1 2.47787 23.993197 11.945578 \n", + " auOpRetail auOpTotal trPkRetail trPkTotal trOpRetail trOpTotal \\\n", + "0 10.032432 12.426053 4.842958 6.577576 4.825284 6.554185 \n", + "1 9.804714 12.378032 2.085722 3.940109 2.097132 3.946235 \n", + "2 9.924635 12.521312 1.451325 3.811134 1.458624 3.813040 \n", + "3 10.124314 12.525120 2.760744 4.989736 2.749302 4.964188 \n", + "4 9.966499 12.292832 2.097899 4.282017 0.920538 2.790691 \n", + "... ... ... ... ... ... ... \n", + "1272 9.795165 12.124129 0.000000 0.000000 0.000000 0.000000 \n", + "1273 9.808362 12.224503 0.198489 0.838468 0.197857 0.826233 \n", + "1274 9.674598 12.273909 2.314454 5.062339 2.170577 4.928170 \n", + "1275 10.150831 12.839956 6.746949 9.644580 6.245710 8.925880 \n", + "1276 10.154352 12.772396 5.492171 8.363419 5.092918 7.921567 \n", "\n", - " density_index is_cbd tour_id.1 start_previous end_previous \n", - "0 7.755537 False 7785298 5 5 \n", - "1 93.587057 False 8708454 5 5 \n", - "2 5.251374 False 9715006 5 5 \n", - "3 79.663609 False 10831112 5 5 \n", - "4 3.344502 False 20334787 5 5 \n", - ".. ... ... ... ... ... \n", - "86 6.652963 False 283676518 5 5 \n", - "87 14.418824 False 295260168 5 5 \n", - "88 98.686610 False 297646485 5 5 \n", - "89 35.838026 True 298814741 5 5 \n", - "90 7.975024 False 301810980 5 5 \n", + " nmRetail nmTotal start_previous end_previous \n", + "0 5.384032 6.267720 5 5 \n", + "1 4.015752 6.526846 5 5 \n", + "2 4.422027 6.644415 5 5 \n", + "3 4.106787 6.259962 5 5 \n", + "4 5.043413 6.194205 5 5 \n", + "... ... ... ... ... \n", + "1272 4.666818 6.381846 5 5 \n", + "1273 5.214767 7.781673 5 5 \n", + "1274 3.927607 5.937753 5 5 \n", + "1275 6.393693 8.676755 5 5 \n", + "1276 4.507081 7.061687 5 5 \n", "\n", - "[91 rows x 151 columns]" + "[1277 rows x 150 columns]" ] }, "execution_count": 6, @@ -1643,135 +1706,135 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", + " start\n", + " end\n", + " duration\n", + " tdd\n", + " mode_choice_logsum\n", + " util_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends\n", + " util_free_flow_round_trip_auto_time_shift_effects_duration\n", + " util_shopping_tour_departure_shift_effects\n", + " util_shopping_tour_duration_shift_effects\n", " ...\n", - " 180\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", + " util_arrival_constants_pm_peak_4\n", + " util_arrival_constants_evening\n", + " util_arrival_constants_late\n", + " util_duration_constants_0_to_1_hours\n", + " util_duration_constants_2_to_3_hours\n", + " util_duration_constants_4_to_5_hours\n", + " util_duration_constants_6_to_7_hours\n", + " util_duration_constants_8_to_10_hours\n", + " util_duration_constants_11_to_13_hours\n", + " util_duration_constants_14_to_18_hours\n", " \n", " \n", " \n", " \n", " 0\n", - " 7785298\n", - " duration\n", - " 0.0\n", - " 1.0\n", - " 2.0\n", + " 7853686\n", + " 5\n", + " 5\n", " 0\n", " 0\n", " 0\n", + " False\n", + " 0.000000\n", " 0\n", " 0\n", " ...\n", - " 0.0\n", - " 1.0\n", - " 2.0\n", - " 3.0\n", - " 0.0\n", - " 1.0\n", - " 2.0\n", - " 0.0\n", - " 1.0\n", - " 0.0\n", + " False\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 1\n", - " 7785298\n", - " end\n", - " 5.0\n", - " 6.0\n", - " 7.0\n", - " 0\n", - " 0\n", + " 7853686\n", + " 5\n", + " 6\n", + " 1\n", + " 1\n", " 0\n", + " False\n", + " 24.259998\n", " 0\n", " 0\n", " ...\n", - " 20.0\n", - " 21.0\n", - " 22.0\n", - " 23.0\n", - " 21.0\n", - " 22.0\n", - " 23.0\n", - " 22.0\n", - " 23.0\n", - " 23.0\n", + " False\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 2\n", - " 7785298\n", - " mode_choice_logsum\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0\n", - " 0\n", + " 7853686\n", + " 5\n", + " 7\n", + " 2\n", + " 2\n", " 0\n", + " False\n", + " 48.519997\n", " 0\n", " 0\n", " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 3\n", - " 7785298\n", - " start\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 0\n", - " 0\n", + " 7853686\n", + " 5\n", + " 8\n", + " 3\n", + " 3\n", " 0\n", + " False\n", + " 72.779999\n", " 0\n", " 0\n", " ...\n", - " 20.0\n", - " 20.0\n", - " 20.0\n", - " 20.0\n", - " 21.0\n", - " 21.0\n", - " 21.0\n", - " 22.0\n", - " 22.0\n", - " 23.0\n", - " \n", - " \n", - " 4\n", - " 7785298\n", - " util_adjacent_window_exists_after_this_arrival...\n", " False\n", " False\n", " False\n", + " False\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " \n", + " \n", + " 4\n", + " 7853686\n", + " 5\n", + " 9\n", + " 4\n", + " 4\n", " 0\n", - " 0\n", - " 0\n", + " False\n", + " 97.039993\n", " 0\n", " 0\n", " ...\n", @@ -1780,7 +1843,7 @@ " False\n", " False\n", " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -1811,47 +1874,47 @@ " ...\n", " \n", " \n", - " 5728\n", - " 301810980\n", - " util_subsequent_of_2_plus_tours_for_same_purpo...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 107101\n", + " 305246245\n", + " 21\n", + " 22\n", + " 1\n", + " 185\n", " 0\n", + " False\n", + " 2.480000\n", " 0\n", " 0\n", " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " \n", - " \n", - " 5729\n", - " 301810980\n", - " util_subsequent_tour_must_start_after_previous...\n", + " False\n", + " False\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", " False\n", + " False\n", + " False\n", + " \n", + " \n", + " 107102\n", + " 305246245\n", + " 21\n", + " 23\n", + " 2\n", + " 186\n", " 0\n", - " 0\n", + " False\n", + " 4.960000\n", " 0\n", " 0\n", " ...\n", " False\n", " False\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " False\n", " False\n", " False\n", @@ -1859,22 +1922,22 @@ " False\n", " \n", " \n", - " 5730\n", - " 301810980\n", - " util_university_student_arrive_after_22\n", - " False\n", - " False\n", - " False\n", - " False\n", + " 107103\n", + " 305246245\n", + " 22\n", + " 22\n", " 0\n", + " 187\n", " 0\n", + " False\n", + " 0.000000\n", " 0\n", " 0\n", " ...\n", " False\n", " False\n", - " False\n", - " False\n", + " True\n", + " True\n", " False\n", " False\n", " False\n", @@ -1883,99 +1946,229 @@ " False\n", " \n", " \n", - " 5731\n", - " 301810980\n", - " util_visit_tour_departure_shift_effects\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 107104\n", + " 305246245\n", + " 22\n", + " 23\n", + " 1\n", + " 188\n", " 0\n", + " False\n", + " 2.480000\n", " 0\n", " 0\n", " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " True\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 5732\n", - " 301810980\n", - " util_visit_tour_duration_shift_effects\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 107105\n", + " 305246245\n", + " 23\n", + " 23\n", " 0\n", + " 189\n", " 0\n", + " False\n", + " 0.000000\n", " 0\n", " 0\n", " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " True\n", + " True\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", "\n", - "

5733 rows × 192 columns

\n", + "

107106 rows × 65 columns

\n", "" ], "text/plain": [ - " tour_id variable 0 \\\n", - "0 7785298 duration 0.0 \n", - "1 7785298 end 5.0 \n", - "2 7785298 mode_choice_logsum 0.0 \n", - "3 7785298 start 5.0 \n", - "4 7785298 util_adjacent_window_exists_after_this_arrival... False \n", - "... ... ... ... \n", - "5728 301810980 util_subsequent_of_2_plus_tours_for_same_purpo... 0 \n", - "5729 301810980 util_subsequent_tour_must_start_after_previous... False \n", - "5730 301810980 util_university_student_arrive_after_22 False \n", - "5731 301810980 util_visit_tour_departure_shift_effects 0 \n", - "5732 301810980 util_visit_tour_duration_shift_effects 0 \n", + " tour_id start end duration tdd mode_choice_logsum \\\n", + "0 7853686 5 5 0 0 0 \n", + "1 7853686 5 6 1 1 0 \n", + "2 7853686 5 7 2 2 0 \n", + "3 7853686 5 8 3 3 0 \n", + "4 7853686 5 9 4 4 0 \n", + "... ... ... ... ... ... ... \n", + "107101 305246245 21 22 1 185 0 \n", + "107102 305246245 21 23 2 186 0 \n", + "107103 305246245 22 22 0 187 0 \n", + "107104 305246245 22 23 1 188 0 \n", + "107105 305246245 23 23 0 189 0 \n", + "\n", + " util_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", + "\n", + " util_free_flow_round_trip_auto_time_shift_effects_duration \\\n", + "0 0.000000 \n", + "1 24.259998 \n", + "2 48.519997 \n", + "3 72.779999 \n", + "4 97.039993 \n", + "... ... \n", + "107101 2.480000 \n", + "107102 4.960000 \n", + "107103 0.000000 \n", + "107104 2.480000 \n", + "107105 0.000000 \n", + "\n", + " util_shopping_tour_departure_shift_effects \\\n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "... ... \n", + "107101 0 \n", + "107102 0 \n", + "107103 0 \n", + "107104 0 \n", + "107105 0 \n", + "\n", + " util_shopping_tour_duration_shift_effects ... \\\n", + "0 0 ... \n", + "1 0 ... \n", + "2 0 ... \n", + "3 0 ... \n", + "4 0 ... \n", + "... ... ... \n", + "107101 0 ... \n", + "107102 0 ... \n", + "107103 0 ... \n", + "107104 0 ... \n", + "107105 0 ... \n", + "\n", + " util_arrival_constants_pm_peak_4 util_arrival_constants_evening \\\n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "107101 False False \n", + "107102 False False \n", + "107103 False False \n", + "107104 False False \n", + "107105 False False \n", + "\n", + " util_arrival_constants_late util_duration_constants_0_to_1_hours \\\n", + "0 False True \n", + "1 False True \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "107101 True True \n", + "107102 True False \n", + "107103 True True \n", + "107104 True True \n", + "107105 True True \n", + "\n", + " util_duration_constants_2_to_3_hours \\\n", + "0 False \n", + "1 False \n", + "2 True \n", + "3 True \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 True \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", "\n", - " 1 2 3 4 5 6 7 ... 180 181 182 183 184 \\\n", - "0 1.0 2.0 0 0 0 0 0 ... 0.0 1.0 2.0 3.0 0.0 \n", - "1 6.0 7.0 0 0 0 0 0 ... 20.0 21.0 22.0 23.0 21.0 \n", - "2 0.0 0.0 0 0 0 0 0 ... 0.0 0.0 0.0 0.0 0.0 \n", - "3 5.0 5.0 0 0 0 0 0 ... 20.0 20.0 20.0 20.0 21.0 \n", - "4 False False 0 0 0 0 0 ... False False False False False \n", - "... ... ... ... .. .. .. .. ... ... ... ... ... ... \n", - "5728 0 0 0 0 0 0 0 ... 0 0 0 0 0 \n", - "5729 False False False 0 0 0 0 ... False False False False False \n", - "5730 False False False 0 0 0 0 ... False False False False False \n", - "5731 0 0 0 0 0 0 0 ... 0 0 0 0 0 \n", - "5732 0 0 0 0 0 0 0 ... 0 0 0 0 0 \n", + " util_duration_constants_4_to_5_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 True \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", "\n", - " 185 186 187 188 189 \n", - "0 1.0 2.0 0.0 1.0 0.0 \n", - "1 22.0 23.0 22.0 23.0 23.0 \n", - "2 0.0 0.0 0.0 0.0 0.0 \n", - "3 21.0 21.0 22.0 22.0 23.0 \n", - "4 False False False False False \n", - "... ... ... ... ... ... \n", - "5728 0 0 0 0 0 \n", - "5729 False False False False False \n", - "5730 False False False False False \n", - "5731 0 0 0 0 0 \n", - "5732 0 0 0 0 0 \n", + " util_duration_constants_6_to_7_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", "\n", - "[5733 rows x 192 columns]" + " util_duration_constants_8_to_10_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", + "\n", + " util_duration_constants_11_to_13_hours \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", + "\n", + " util_duration_constants_14_to_18_hours \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "107101 False \n", + "107102 False \n", + "107103 False \n", + "107104 False \n", + "107105 False \n", + "\n", + "[107106 rows x 65 columns]" ] }, "execution_count": 7, @@ -2005,13 +2198,36 @@ "name": "stderr", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "problem: chosen_but_not_available has (2 issues)\n" ] }, + { + "data": { + "text/plain": [ + "(,\n", + " ┣ chosen_but_not_available: altid n example rows\n", + " ┃ 0 115 1 356\n", + " ┃ 1 149 2 732, 1183)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.doctor(repair_ch_av=\"-\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "

Iteration 067 [Optimization terminated successfully]

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Iteration 144 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -2023,7 +2239,7 @@ { "data": { "text/html": [ - "

Best LL = -173.82837615906058

" + "

Best LL = -2789.512559021124

" ], "text/plain": [ "" @@ -2054,913 +2270,867 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -13.526580\n", + " 0.800851\n", + " 0.800851\n", " -0.025700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -13.526580\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction\n", - " -14.169341\n", + " 0.494438\n", + " 0.494438\n", " -0.027340\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -14.169341\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " -13.495922\n", + " 0.008839\n", + " 0.008839\n", " 0.008442\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -13.495922\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction\n", - " -7.716247\n", + " -0.549692\n", + " -0.549692\n", " -0.059300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -7.716247\n", " \n", " \n", " coef_adult_with_children_in_hh_arrive_19_21\n", - " -0.002541\n", + " -0.078997\n", + " -0.078997\n", " 0.336000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.002541\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " 4.647673\n", + " -8.413713\n", + " -8.413713\n", " -8.728880\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 4.647673\n", " \n", " \n", " coef_arrival_constants_early\n", - " 24.793142\n", + " -6.758955\n", + " -6.758955\n", " -8.728880\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 24.793142\n", " \n", " \n", " coef_arrival_constants_evening\n", - " -4.291783\n", + " -2.675953\n", + " -2.675953\n", " -2.748940\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -4.291783\n", " \n", " \n", " coef_arrival_constants_late\n", - " -9.617038\n", + " -4.194942\n", + " -4.194942\n", " -4.242530\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -9.617038\n", " \n", " \n", " coef_arrival_constants_midday_1\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_arrival_constants_midday_2\n", - " 2.692519\n", + " 1.416723\n", + " 1.416723\n", " 1.408040\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 2.692519\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", - " 1.849237\n", + " 0.964024\n", + " 0.964024\n", " 1.020360\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.849237\n", " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " 1.518410\n", + " 1.200835\n", + " 1.200835\n", " 1.068630\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.518410\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " -1.182768\n", + " -0.725959\n", + " -0.725959\n", " -0.596260\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.182768\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -25.000000\n", + " -13.990759\n", + " -13.990759\n", " -11.595050\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -25.000000\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", - " -4.236849\n", + " -10.163788\n", + " -10.163788\n", " -9.005190\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -4.236849\n", " \n", " \n", " coef_departure_constants_am_peak_3\n", - " 0.806223\n", + " -2.799430\n", + " -2.799430\n", " -2.733150\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.806223\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " 1.408142\n", + " 0.514393\n", + " 0.514393\n", " 0.266540\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.408142\n", " \n", " \n", " coef_departure_constants_early\n", - " -24.418086\n", + " -17.865880\n", + " -17.865880\n", " -14.477080\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -24.418086\n", " \n", " \n", " coef_departure_constants_evening\n", - " -14.557517\n", + " -19.574287\n", + " -19.574287\n", " -18.987370\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -14.557517\n", " \n", " \n", " coef_departure_constants_late\n", - " -20.421814\n", + " -21.444922\n", + " -21.444922\n", " -20.278070\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -20.421814\n", " \n", " \n", " coef_departure_constants_midday_1\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_departure_constants_midday_2\n", - " -4.501238\n", + " -1.886316\n", + " -1.886316\n", " -1.602600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -4.501238\n", " \n", " \n", " coef_departure_constants_pm_peak\n", - " -12.638403\n", + " -18.238556\n", + " -18.238556\n", " -17.695980\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -12.638403\n", " \n", " \n", " coef_destination_in_cbd_duration_shift_effects\n", - " 0.572330\n", + " 0.130935\n", + " 0.130935\n", " 0.106700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.572330\n", " \n", " \n", " coef_discretionary_tour_duration_lt_2_hours\n", - " -1.022488\n", + " -0.772425\n", + " -0.772425\n", " -0.697400\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.022488\n", " \n", " \n", " coef_duration_constants_0_to_1_hours\n", - " -2.750481\n", + " -2.021348\n", + " -2.021348\n", " -2.228260\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.750481\n", " \n", " \n", " coef_duration_constants_11_to_13_hours\n", - " -6.162737\n", + " -1.608105\n", + " -1.608105\n", " -0.815190\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -6.162737\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -2.800706\n", + " -3.067613\n", + " -3.067613\n", " -2.738440\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.800706\n", " \n", " \n", " coef_duration_constants_2_to_3_hours\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_duration_constants_4_to_5_hours\n", - " 0.301145\n", + " -0.519561\n", + " -0.519561\n", " -0.561740\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.301145\n", " \n", " \n", " coef_duration_constants_6_to_7_hours\n", - " 0.144072\n", + " -0.868309\n", + " -0.868309\n", " -0.655470\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.144072\n", " \n", " \n", " coef_duration_constants_8_to_10_hours\n", - " -10.570858\n", + " -1.020095\n", + " -1.020095\n", " -0.740620\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -10.570858\n", " \n", " \n", " coef_eat_out_tour_departure_shift_effects\n", - " -0.024649\n", + " 0.056578\n", + " 0.056578\n", " 0.075490\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.024649\n", " \n", " \n", " coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect\n", - " -1.329351\n", + " -0.506782\n", + " -0.506782\n", " -0.236400\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.329351\n", " \n", " \n", " coef_free_flow_round_trip_auto_time_shift_effects_duration\n", - " 0.017752\n", + " 0.003622\n", + " 0.003622\n", " 0.003195\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.017752\n", " \n", " \n", " coef_maintenance_tour_depart_before_7\n", - " 1.154584\n", + " -0.523693\n", + " -0.523693\n", " -0.882600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.154584\n", " \n", " \n", " coef_maintenance_tour_departure_shift_effects\n", - " -0.159210\n", + " -0.135634\n", + " -0.135634\n", " -0.148900\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.159210\n", " \n", " \n", " coef_maintenance_tour_duration_shift_effects\n", - " -0.146459\n", + " -0.038428\n", + " -0.038428\n", " -0.083720\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.146459\n", " \n", " \n", " coef_number_of_joint_tours_departure_shift_effects\n", - " 1.356173\n", + " 0.128742\n", + " 0.128742\n", " 0.052080\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.356173\n", " \n", " \n", " coef_number_of_mandatory_tours_departure_shift_effects\n", - " 0.076326\n", + " -0.009788\n", + " -0.009788\n", " 0.046730\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.076326\n", " \n", " \n", " coef_school_child_age_16_plus_departure_shift_effects\n", + " 0.106395\n", + " 0.106395\n", " 0.072660\n", - " 0.072660\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.072660\n", " \n", " \n", " coef_school_child_age_16_plus_duration_shift_effects\n", + " 0.315781\n", + " 0.315781\n", " 0.209500\n", - " 0.209500\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.209500\n", " \n", " \n", " coef_school_child_age_under_16_departure_shift_effects\n", - " 0.239007\n", + " 0.015473\n", + " 0.015473\n", " 0.046570\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.239007\n", " \n", " \n", " coef_school_child_age_under_16_duration_shift_effects\n", - " -0.567863\n", + " 0.327527\n", + " 0.327527\n", " 0.327200\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.567863\n", " \n", " \n", " coef_school_child_under_16_arrive_after_22\n", - " -6.147237\n", + " -5.038827\n", + " -5.038827\n", " -1.180000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -6.147237\n", " \n", " \n", " coef_shopping_tour_arrive_after_22\n", - " -7.221041\n", + " -0.033268\n", + " -0.033268\n", " -0.602700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -7.221041\n", " \n", " \n", " coef_shopping_tour_depart_before_8\n", - " 1.458488\n", + " -1.484109\n", + " -1.484109\n", " -1.037000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 1.458488\n", " \n", " \n", " coef_shopping_tour_departure_shift_effects\n", - " -0.045633\n", + " -0.099254\n", + " -0.099254\n", " -0.060150\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.045633\n", " \n", " \n", " coef_shopping_tour_duration_lt_2_hours\n", - " 0.189427\n", + " 0.699700\n", + " 0.699700\n", " 0.516800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.189427\n", " \n", " \n", " coef_shopping_tour_duration_shift_effects\n", - " -0.359705\n", + " -0.101207\n", + " -0.101207\n", " -0.120800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.359705\n", " \n", " \n", " coef_some_previously_scheduled_tour_begins_in_this_arrival_hour\n", - " 0.411979\n", + " -0.017681\n", + " -0.017681\n", " -0.399200\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.411979\n", " \n", " \n", " coef_some_previously_scheduled_tour_ends_in_this_departure_hour\n", - " 0.282029\n", + " -0.288048\n", + " -0.288048\n", " -0.456200\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.282029\n", " \n", " \n", " coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect\n", - " 0.191264\n", + " 0.062417\n", + " 0.062417\n", " -0.173100\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.191264\n", " \n", " \n", " coef_unavailable\n", " -999.000000\n", " -999.000000\n", + " -999.000000\n", + " -999.0\n", + " -999.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_university_student_arrive_after_22\n", - " -9.181095\n", + " 0.360948\n", + " 0.360948\n", " 0.546600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -9.181095\n", " \n", " \n", " coef_visit_tour_departure_shift_effects\n", - " -0.109515\n", + " 0.136717\n", + " 0.136717\n", " 0.096880\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.109515\n", " \n", " \n", " coef_visit_tour_duration_shift_effects\n", - " -0.123814\n", + " 0.172436\n", + " 0.172436\n", " 0.163800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.123814\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_adjacent_window_exists_after_this_arrival_... -13.526580 -0.025700 \n", - "coef_adjacent_window_exists_after_this_arrival_... -14.169341 -0.027340 \n", - "coef_adjacent_window_exists_before_this_departu... -13.495922 0.008442 \n", - "coef_adjacent_window_exists_before_this_departu... -7.716247 -0.059300 \n", - "coef_adult_with_children_in_hh_arrive_19_21 -0.002541 0.336000 \n", - "coef_arrival_constants_am_peak 4.647673 -8.728880 \n", - "coef_arrival_constants_early 24.793142 -8.728880 \n", - "coef_arrival_constants_evening -4.291783 -2.748940 \n", - "coef_arrival_constants_late -9.617038 -4.242530 \n", + " value best \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0.800851 0.800851 \n", + "coef_adjacent_window_exists_after_this_arrival_... 0.494438 0.494438 \n", + "coef_adjacent_window_exists_before_this_departu... 0.008839 0.008839 \n", + "coef_adjacent_window_exists_before_this_departu... -0.549692 -0.549692 \n", + "coef_adult_with_children_in_hh_arrive_19_21 -0.078997 -0.078997 \n", + "coef_arrival_constants_am_peak -8.413713 -8.413713 \n", + "coef_arrival_constants_early -6.758955 -6.758955 \n", + "coef_arrival_constants_evening -2.675953 -2.675953 \n", + "coef_arrival_constants_late -4.194942 -4.194942 \n", "coef_arrival_constants_midday_1 0.000000 0.000000 \n", - "coef_arrival_constants_midday_2 2.692519 1.408040 \n", - "coef_arrival_constants_pm_peak_1 1.849237 1.020360 \n", - "coef_arrival_constants_pm_peak_2 1.518410 1.068630 \n", + "coef_arrival_constants_midday_2 1.416723 1.416723 \n", + "coef_arrival_constants_pm_peak_1 0.964024 0.964024 \n", + "coef_arrival_constants_pm_peak_2 1.200835 1.200835 \n", "coef_arrival_constants_pm_peak_3 0.000000 0.000000 \n", - "coef_arrival_constants_pm_peak_4 -1.182768 -0.596260 \n", - "coef_departure_constants_am_peak_1 -25.000000 -11.595050 \n", - "coef_departure_constants_am_peak_2 -4.236849 -9.005190 \n", - "coef_departure_constants_am_peak_3 0.806223 -2.733150 \n", - "coef_departure_constants_am_peak_4 1.408142 0.266540 \n", - "coef_departure_constants_early -24.418086 -14.477080 \n", - "coef_departure_constants_evening -14.557517 -18.987370 \n", - "coef_departure_constants_late -20.421814 -20.278070 \n", + "coef_arrival_constants_pm_peak_4 -0.725959 -0.725959 \n", + "coef_departure_constants_am_peak_1 -13.990759 -13.990759 \n", + "coef_departure_constants_am_peak_2 -10.163788 -10.163788 \n", + "coef_departure_constants_am_peak_3 -2.799430 -2.799430 \n", + "coef_departure_constants_am_peak_4 0.514393 0.514393 \n", + "coef_departure_constants_early -17.865880 -17.865880 \n", + "coef_departure_constants_evening -19.574287 -19.574287 \n", + "coef_departure_constants_late -21.444922 -21.444922 \n", "coef_departure_constants_midday_1 0.000000 0.000000 \n", - "coef_departure_constants_midday_2 -4.501238 -1.602600 \n", - "coef_departure_constants_pm_peak -12.638403 -17.695980 \n", - "coef_destination_in_cbd_duration_shift_effects 0.572330 0.106700 \n", - "coef_discretionary_tour_duration_lt_2_hours -1.022488 -0.697400 \n", - "coef_duration_constants_0_to_1_hours -2.750481 -2.228260 \n", - "coef_duration_constants_11_to_13_hours -6.162737 -0.815190 \n", - "coef_duration_constants_14_to_18_hours -2.800706 -2.738440 \n", + "coef_departure_constants_midday_2 -1.886316 -1.886316 \n", + "coef_departure_constants_pm_peak -18.238556 -18.238556 \n", + "coef_destination_in_cbd_duration_shift_effects 0.130935 0.130935 \n", + "coef_discretionary_tour_duration_lt_2_hours -0.772425 -0.772425 \n", + "coef_duration_constants_0_to_1_hours -2.021348 -2.021348 \n", + "coef_duration_constants_11_to_13_hours -1.608105 -1.608105 \n", + "coef_duration_constants_14_to_18_hours -3.067613 -3.067613 \n", "coef_duration_constants_2_to_3_hours 0.000000 0.000000 \n", - "coef_duration_constants_4_to_5_hours 0.301145 -0.561740 \n", - "coef_duration_constants_6_to_7_hours 0.144072 -0.655470 \n", - "coef_duration_constants_8_to_10_hours -10.570858 -0.740620 \n", - "coef_eat_out_tour_departure_shift_effects -0.024649 0.075490 \n", - "coef_first_of_2_plus_tours_for_same_purpose_dep... -1.329351 -0.236400 \n", - "coef_free_flow_round_trip_auto_time_shift_effec... 0.017752 0.003195 \n", - "coef_maintenance_tour_depart_before_7 1.154584 -0.882600 \n", - "coef_maintenance_tour_departure_shift_effects -0.159210 -0.148900 \n", - "coef_maintenance_tour_duration_shift_effects -0.146459 -0.083720 \n", - "coef_number_of_joint_tours_departure_shift_effects 1.356173 0.052080 \n", - "coef_number_of_mandatory_tours_departure_shift_... 0.076326 0.046730 \n", - "coef_school_child_age_16_plus_departure_shift_e... 0.072660 0.072660 \n", - "coef_school_child_age_16_plus_duration_shift_ef... 0.209500 0.209500 \n", - "coef_school_child_age_under_16_departure_shift_... 0.239007 0.046570 \n", - "coef_school_child_age_under_16_duration_shift_e... -0.567863 0.327200 \n", - "coef_school_child_under_16_arrive_after_22 -6.147237 -1.180000 \n", - "coef_shopping_tour_arrive_after_22 -7.221041 -0.602700 \n", - "coef_shopping_tour_depart_before_8 1.458488 -1.037000 \n", - "coef_shopping_tour_departure_shift_effects -0.045633 -0.060150 \n", - "coef_shopping_tour_duration_lt_2_hours 0.189427 0.516800 \n", - "coef_shopping_tour_duration_shift_effects -0.359705 -0.120800 \n", - "coef_some_previously_scheduled_tour_begins_in_t... 0.411979 -0.399200 \n", - "coef_some_previously_scheduled_tour_ends_in_thi... 0.282029 -0.456200 \n", - "coef_subsequent_of_2_plus_tours_for_same_purpos... 0.191264 -0.173100 \n", + "coef_duration_constants_4_to_5_hours -0.519561 -0.519561 \n", + "coef_duration_constants_6_to_7_hours -0.868309 -0.868309 \n", + "coef_duration_constants_8_to_10_hours -1.020095 -1.020095 \n", + "coef_eat_out_tour_departure_shift_effects 0.056578 0.056578 \n", + "coef_first_of_2_plus_tours_for_same_purpose_dep... -0.506782 -0.506782 \n", + "coef_free_flow_round_trip_auto_time_shift_effec... 0.003622 0.003622 \n", + "coef_maintenance_tour_depart_before_7 -0.523693 -0.523693 \n", + "coef_maintenance_tour_departure_shift_effects -0.135634 -0.135634 \n", + "coef_maintenance_tour_duration_shift_effects -0.038428 -0.038428 \n", + "coef_number_of_joint_tours_departure_shift_effects 0.128742 0.128742 \n", + "coef_number_of_mandatory_tours_departure_shift_... -0.009788 -0.009788 \n", + "coef_school_child_age_16_plus_departure_shift_e... 0.106395 0.106395 \n", + "coef_school_child_age_16_plus_duration_shift_ef... 0.315781 0.315781 \n", + "coef_school_child_age_under_16_departure_shift_... 0.015473 0.015473 \n", + "coef_school_child_age_under_16_duration_shift_e... 0.327527 0.327527 \n", + "coef_school_child_under_16_arrive_after_22 -5.038827 -5.038827 \n", + "coef_shopping_tour_arrive_after_22 -0.033268 -0.033268 \n", + "coef_shopping_tour_depart_before_8 -1.484109 -1.484109 \n", + "coef_shopping_tour_departure_shift_effects -0.099254 -0.099254 \n", + "coef_shopping_tour_duration_lt_2_hours 0.699700 0.699700 \n", + "coef_shopping_tour_duration_shift_effects -0.101207 -0.101207 \n", + "coef_some_previously_scheduled_tour_begins_in_t... -0.017681 -0.017681 \n", + "coef_some_previously_scheduled_tour_ends_in_thi... -0.288048 -0.288048 \n", + "coef_subsequent_of_2_plus_tours_for_same_purpos... 0.062417 0.062417 \n", "coef_unavailable -999.000000 -999.000000 \n", - "coef_university_student_arrive_after_22 -9.181095 0.546600 \n", - "coef_visit_tour_departure_shift_effects -0.109515 0.096880 \n", - "coef_visit_tour_duration_shift_effects -0.123814 0.163800 \n", + "coef_university_student_arrive_after_22 0.360948 0.360948 \n", + "coef_visit_tour_departure_shift_effects 0.136717 0.136717 \n", + "coef_visit_tour_duration_shift_effects 0.172436 0.172436 \n", "\n", - " nullvalue minimum \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_adjacent_window_exists_before_this_departu... 0.0 -25.0 \n", - "coef_adult_with_children_in_hh_arrive_19_21 0.0 -25.0 \n", - "coef_arrival_constants_am_peak 0.0 -25.0 \n", - "coef_arrival_constants_early 0.0 -25.0 \n", - "coef_arrival_constants_evening 0.0 -25.0 \n", - "coef_arrival_constants_late 0.0 -25.0 \n", - "coef_arrival_constants_midday_1 0.0 -25.0 \n", - "coef_arrival_constants_midday_2 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_1 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_2 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_3 0.0 -25.0 \n", - "coef_arrival_constants_pm_peak_4 0.0 -25.0 \n", - "coef_departure_constants_am_peak_1 0.0 -25.0 \n", - "coef_departure_constants_am_peak_2 0.0 -25.0 \n", - "coef_departure_constants_am_peak_3 0.0 -25.0 \n", - "coef_departure_constants_am_peak_4 0.0 -25.0 \n", - "coef_departure_constants_early 0.0 -25.0 \n", - "coef_departure_constants_evening 0.0 -25.0 \n", - "coef_departure_constants_late 0.0 -25.0 \n", - "coef_departure_constants_midday_1 0.0 -25.0 \n", - "coef_departure_constants_midday_2 0.0 -25.0 \n", - "coef_departure_constants_pm_peak 0.0 -25.0 \n", - "coef_destination_in_cbd_duration_shift_effects 0.0 -25.0 \n", - "coef_discretionary_tour_duration_lt_2_hours 0.0 -25.0 \n", - "coef_duration_constants_0_to_1_hours 0.0 -25.0 \n", - "coef_duration_constants_11_to_13_hours 0.0 -25.0 \n", - "coef_duration_constants_14_to_18_hours 0.0 -25.0 \n", - "coef_duration_constants_2_to_3_hours 0.0 -25.0 \n", - "coef_duration_constants_4_to_5_hours 0.0 -25.0 \n", - "coef_duration_constants_6_to_7_hours 0.0 -25.0 \n", - "coef_duration_constants_8_to_10_hours 0.0 -25.0 \n", - "coef_eat_out_tour_departure_shift_effects 0.0 -25.0 \n", - "coef_first_of_2_plus_tours_for_same_purpose_dep... 0.0 -25.0 \n", - "coef_free_flow_round_trip_auto_time_shift_effec... 0.0 -25.0 \n", - "coef_maintenance_tour_depart_before_7 0.0 -25.0 \n", - "coef_maintenance_tour_departure_shift_effects 0.0 -25.0 \n", - "coef_maintenance_tour_duration_shift_effects 0.0 -25.0 \n", - "coef_number_of_joint_tours_departure_shift_effects 0.0 -25.0 \n", - "coef_number_of_mandatory_tours_departure_shift_... 0.0 -25.0 \n", - "coef_school_child_age_16_plus_departure_shift_e... 0.0 -25.0 \n", - "coef_school_child_age_16_plus_duration_shift_ef... 0.0 -25.0 \n", - "coef_school_child_age_under_16_departure_shift_... 0.0 -25.0 \n", - "coef_school_child_age_under_16_duration_shift_e... 0.0 -25.0 \n", - "coef_school_child_under_16_arrive_after_22 0.0 -25.0 \n", - "coef_shopping_tour_arrive_after_22 0.0 -25.0 \n", - "coef_shopping_tour_depart_before_8 0.0 -25.0 \n", - "coef_shopping_tour_departure_shift_effects 0.0 -25.0 \n", - "coef_shopping_tour_duration_lt_2_hours 0.0 -25.0 \n", - "coef_shopping_tour_duration_shift_effects 0.0 -25.0 \n", - "coef_some_previously_scheduled_tour_begins_in_t... 0.0 -25.0 \n", - "coef_some_previously_scheduled_tour_ends_in_thi... 0.0 -25.0 \n", - "coef_subsequent_of_2_plus_tours_for_same_purpos... 0.0 -25.0 \n", - "coef_unavailable 0.0 -25.0 \n", - "coef_university_student_arrive_after_22 0.0 -25.0 \n", - "coef_visit_tour_departure_shift_effects 0.0 -25.0 \n", - "coef_visit_tour_duration_shift_effects 0.0 -25.0 \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.025700 -25.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... -0.027340 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... 0.008442 -25.0 \n", + "coef_adjacent_window_exists_before_this_departu... -0.059300 -25.0 \n", + "coef_adult_with_children_in_hh_arrive_19_21 0.336000 -25.0 \n", + "coef_arrival_constants_am_peak -8.728880 -25.0 \n", + "coef_arrival_constants_early -8.728880 -25.0 \n", + "coef_arrival_constants_evening -2.748940 -25.0 \n", + "coef_arrival_constants_late -4.242530 -25.0 \n", + "coef_arrival_constants_midday_1 0.000000 0.0 \n", + "coef_arrival_constants_midday_2 1.408040 -25.0 \n", + "coef_arrival_constants_pm_peak_1 1.020360 -25.0 \n", + "coef_arrival_constants_pm_peak_2 1.068630 -25.0 \n", + "coef_arrival_constants_pm_peak_3 0.000000 0.0 \n", + "coef_arrival_constants_pm_peak_4 -0.596260 -25.0 \n", + "coef_departure_constants_am_peak_1 -11.595050 -25.0 \n", + "coef_departure_constants_am_peak_2 -9.005190 -25.0 \n", + "coef_departure_constants_am_peak_3 -2.733150 -25.0 \n", + "coef_departure_constants_am_peak_4 0.266540 -25.0 \n", + "coef_departure_constants_early -14.477080 -25.0 \n", + "coef_departure_constants_evening -18.987370 -25.0 \n", + "coef_departure_constants_late -20.278070 -25.0 \n", + "coef_departure_constants_midday_1 0.000000 0.0 \n", + "coef_departure_constants_midday_2 -1.602600 -25.0 \n", + "coef_departure_constants_pm_peak -17.695980 -25.0 \n", + "coef_destination_in_cbd_duration_shift_effects 0.106700 -25.0 \n", + "coef_discretionary_tour_duration_lt_2_hours -0.697400 -25.0 \n", + "coef_duration_constants_0_to_1_hours -2.228260 -25.0 \n", + "coef_duration_constants_11_to_13_hours -0.815190 -25.0 \n", + "coef_duration_constants_14_to_18_hours -2.738440 -25.0 \n", + "coef_duration_constants_2_to_3_hours 0.000000 0.0 \n", + "coef_duration_constants_4_to_5_hours -0.561740 -25.0 \n", + "coef_duration_constants_6_to_7_hours -0.655470 -25.0 \n", + "coef_duration_constants_8_to_10_hours -0.740620 -25.0 \n", + "coef_eat_out_tour_departure_shift_effects 0.075490 -25.0 \n", + "coef_first_of_2_plus_tours_for_same_purpose_dep... -0.236400 -25.0 \n", + "coef_free_flow_round_trip_auto_time_shift_effec... 0.003195 -25.0 \n", + "coef_maintenance_tour_depart_before_7 -0.882600 -25.0 \n", + "coef_maintenance_tour_departure_shift_effects -0.148900 -25.0 \n", + "coef_maintenance_tour_duration_shift_effects -0.083720 -25.0 \n", + "coef_number_of_joint_tours_departure_shift_effects 0.052080 -25.0 \n", + "coef_number_of_mandatory_tours_departure_shift_... 0.046730 -25.0 \n", + "coef_school_child_age_16_plus_departure_shift_e... 0.072660 -25.0 \n", + "coef_school_child_age_16_plus_duration_shift_ef... 0.209500 -25.0 \n", + "coef_school_child_age_under_16_departure_shift_... 0.046570 -25.0 \n", + "coef_school_child_age_under_16_duration_shift_e... 0.327200 -25.0 \n", + "coef_school_child_under_16_arrive_after_22 -1.180000 -25.0 \n", + "coef_shopping_tour_arrive_after_22 -0.602700 -25.0 \n", + "coef_shopping_tour_depart_before_8 -1.037000 -25.0 \n", + "coef_shopping_tour_departure_shift_effects -0.060150 -25.0 \n", + "coef_shopping_tour_duration_lt_2_hours 0.516800 -25.0 \n", + "coef_shopping_tour_duration_shift_effects -0.120800 -25.0 \n", + "coef_some_previously_scheduled_tour_begins_in_t... -0.399200 -25.0 \n", + "coef_some_previously_scheduled_tour_ends_in_thi... -0.456200 -25.0 \n", + "coef_subsequent_of_2_plus_tours_for_same_purpos... -0.173100 -25.0 \n", + "coef_unavailable -999.000000 -999.0 \n", + "coef_university_student_arrive_after_22 0.546600 -25.0 \n", + "coef_visit_tour_departure_shift_effects 0.096880 -25.0 \n", + "coef_visit_tour_duration_shift_effects 0.163800 -25.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_after_this_arrival_... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_adjacent_window_exists_before_this_departu... 25.0 0 \n", - "coef_adult_with_children_in_hh_arrive_19_21 25.0 0 \n", - "coef_arrival_constants_am_peak 25.0 0 \n", - "coef_arrival_constants_early 25.0 0 \n", - "coef_arrival_constants_evening 25.0 0 \n", - "coef_arrival_constants_late 25.0 0 \n", - "coef_arrival_constants_midday_1 25.0 1 \n", - "coef_arrival_constants_midday_2 25.0 0 \n", - "coef_arrival_constants_pm_peak_1 25.0 0 \n", - "coef_arrival_constants_pm_peak_2 25.0 0 \n", - "coef_arrival_constants_pm_peak_3 25.0 1 \n", - "coef_arrival_constants_pm_peak_4 25.0 0 \n", - "coef_departure_constants_am_peak_1 25.0 0 \n", - "coef_departure_constants_am_peak_2 25.0 0 \n", - "coef_departure_constants_am_peak_3 25.0 0 \n", - "coef_departure_constants_am_peak_4 25.0 0 \n", - "coef_departure_constants_early 25.0 0 \n", - "coef_departure_constants_evening 25.0 0 \n", - "coef_departure_constants_late 25.0 0 \n", - "coef_departure_constants_midday_1 25.0 1 \n", - "coef_departure_constants_midday_2 25.0 0 \n", - "coef_departure_constants_pm_peak 25.0 0 \n", - "coef_destination_in_cbd_duration_shift_effects 25.0 0 \n", - "coef_discretionary_tour_duration_lt_2_hours 25.0 0 \n", - "coef_duration_constants_0_to_1_hours 25.0 0 \n", - "coef_duration_constants_11_to_13_hours 25.0 0 \n", - "coef_duration_constants_14_to_18_hours 25.0 0 \n", - "coef_duration_constants_2_to_3_hours 25.0 1 \n", - "coef_duration_constants_4_to_5_hours 25.0 0 \n", - "coef_duration_constants_6_to_7_hours 25.0 0 \n", - "coef_duration_constants_8_to_10_hours 25.0 0 \n", - "coef_eat_out_tour_departure_shift_effects 25.0 0 \n", - "coef_first_of_2_plus_tours_for_same_purpose_dep... 25.0 0 \n", - "coef_free_flow_round_trip_auto_time_shift_effec... 25.0 0 \n", - "coef_maintenance_tour_depart_before_7 25.0 0 \n", - "coef_maintenance_tour_departure_shift_effects 25.0 0 \n", - "coef_maintenance_tour_duration_shift_effects 25.0 0 \n", - "coef_number_of_joint_tours_departure_shift_effects 25.0 0 \n", - "coef_number_of_mandatory_tours_departure_shift_... 25.0 0 \n", - "coef_school_child_age_16_plus_departure_shift_e... 25.0 0 \n", - "coef_school_child_age_16_plus_duration_shift_ef... 25.0 0 \n", - "coef_school_child_age_under_16_departure_shift_... 25.0 0 \n", - "coef_school_child_age_under_16_duration_shift_e... 25.0 0 \n", - "coef_school_child_under_16_arrive_after_22 25.0 0 \n", - "coef_shopping_tour_arrive_after_22 25.0 0 \n", - "coef_shopping_tour_depart_before_8 25.0 0 \n", - "coef_shopping_tour_departure_shift_effects 25.0 0 \n", - "coef_shopping_tour_duration_lt_2_hours 25.0 0 \n", - "coef_shopping_tour_duration_shift_effects 25.0 0 \n", - "coef_some_previously_scheduled_tour_begins_in_t... 25.0 0 \n", - "coef_some_previously_scheduled_tour_ends_in_thi... 25.0 0 \n", - "coef_subsequent_of_2_plus_tours_for_same_purpos... 25.0 0 \n", - "coef_unavailable 25.0 1 \n", - "coef_university_student_arrive_after_22 25.0 0 \n", - "coef_visit_tour_departure_shift_effects 25.0 0 \n", - "coef_visit_tour_duration_shift_effects 25.0 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_adjacent_window_exists_before_this_departu... 25.0 0.0 \n", + "coef_adult_with_children_in_hh_arrive_19_21 25.0 0.0 \n", + "coef_arrival_constants_am_peak 25.0 0.0 \n", + "coef_arrival_constants_early 25.0 0.0 \n", + "coef_arrival_constants_evening 25.0 0.0 \n", + "coef_arrival_constants_late 25.0 0.0 \n", + "coef_arrival_constants_midday_1 0.0 0.0 \n", + "coef_arrival_constants_midday_2 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_1 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_2 25.0 0.0 \n", + "coef_arrival_constants_pm_peak_3 0.0 0.0 \n", + "coef_arrival_constants_pm_peak_4 25.0 0.0 \n", + "coef_departure_constants_am_peak_1 25.0 0.0 \n", + "coef_departure_constants_am_peak_2 25.0 0.0 \n", + "coef_departure_constants_am_peak_3 25.0 0.0 \n", + "coef_departure_constants_am_peak_4 25.0 0.0 \n", + "coef_departure_constants_early 25.0 0.0 \n", + "coef_departure_constants_evening 25.0 0.0 \n", + "coef_departure_constants_late 25.0 0.0 \n", + "coef_departure_constants_midday_1 0.0 0.0 \n", + "coef_departure_constants_midday_2 25.0 0.0 \n", + "coef_departure_constants_pm_peak 25.0 0.0 \n", + "coef_destination_in_cbd_duration_shift_effects 25.0 0.0 \n", + "coef_discretionary_tour_duration_lt_2_hours 25.0 0.0 \n", + "coef_duration_constants_0_to_1_hours 25.0 0.0 \n", + "coef_duration_constants_11_to_13_hours 25.0 0.0 \n", + "coef_duration_constants_14_to_18_hours 25.0 0.0 \n", + "coef_duration_constants_2_to_3_hours 0.0 0.0 \n", + "coef_duration_constants_4_to_5_hours 25.0 0.0 \n", + "coef_duration_constants_6_to_7_hours 25.0 0.0 \n", + "coef_duration_constants_8_to_10_hours 25.0 0.0 \n", + "coef_eat_out_tour_departure_shift_effects 25.0 0.0 \n", + "coef_first_of_2_plus_tours_for_same_purpose_dep... 25.0 0.0 \n", + "coef_free_flow_round_trip_auto_time_shift_effec... 25.0 0.0 \n", + "coef_maintenance_tour_depart_before_7 25.0 0.0 \n", + "coef_maintenance_tour_departure_shift_effects 25.0 0.0 \n", + "coef_maintenance_tour_duration_shift_effects 25.0 0.0 \n", + "coef_number_of_joint_tours_departure_shift_effects 25.0 0.0 \n", + "coef_number_of_mandatory_tours_departure_shift_... 25.0 0.0 \n", + "coef_school_child_age_16_plus_departure_shift_e... 25.0 0.0 \n", + "coef_school_child_age_16_plus_duration_shift_ef... 25.0 0.0 \n", + "coef_school_child_age_under_16_departure_shift_... 25.0 0.0 \n", + "coef_school_child_age_under_16_duration_shift_e... 25.0 0.0 \n", + "coef_school_child_under_16_arrive_after_22 25.0 0.0 \n", + "coef_shopping_tour_arrive_after_22 25.0 0.0 \n", + "coef_shopping_tour_depart_before_8 25.0 0.0 \n", + "coef_shopping_tour_departure_shift_effects 25.0 0.0 \n", + "coef_shopping_tour_duration_lt_2_hours 25.0 0.0 \n", + "coef_shopping_tour_duration_shift_effects 25.0 0.0 \n", + "coef_some_previously_scheduled_tour_begins_in_t... 25.0 0.0 \n", + "coef_some_previously_scheduled_tour_ends_in_thi... 25.0 0.0 \n", + "coef_subsequent_of_2_plus_tours_for_same_purpos... 25.0 0.0 \n", + "coef_unavailable -999.0 0.0 \n", + "coef_university_student_arrive_after_22 25.0 0.0 \n", + "coef_visit_tour_departure_shift_effects 25.0 0.0 \n", + "coef_visit_tour_duration_shift_effects 25.0 0.0 \n", "\n", - " best \n", - "coef_adjacent_window_exists_after_this_arrival_... -13.526580 \n", - "coef_adjacent_window_exists_after_this_arrival_... -14.169341 \n", - "coef_adjacent_window_exists_before_this_departu... -13.495922 \n", - "coef_adjacent_window_exists_before_this_departu... -7.716247 \n", - "coef_adult_with_children_in_hh_arrive_19_21 -0.002541 \n", - "coef_arrival_constants_am_peak 4.647673 \n", - "coef_arrival_constants_early 24.793142 \n", - "coef_arrival_constants_evening -4.291783 \n", - "coef_arrival_constants_late -9.617038 \n", - "coef_arrival_constants_midday_1 0.000000 \n", - "coef_arrival_constants_midday_2 2.692519 \n", - "coef_arrival_constants_pm_peak_1 1.849237 \n", - "coef_arrival_constants_pm_peak_2 1.518410 \n", - "coef_arrival_constants_pm_peak_3 0.000000 \n", - "coef_arrival_constants_pm_peak_4 -1.182768 \n", - "coef_departure_constants_am_peak_1 -25.000000 \n", - "coef_departure_constants_am_peak_2 -4.236849 \n", - "coef_departure_constants_am_peak_3 0.806223 \n", - "coef_departure_constants_am_peak_4 1.408142 \n", - "coef_departure_constants_early -24.418086 \n", - "coef_departure_constants_evening -14.557517 \n", - "coef_departure_constants_late -20.421814 \n", - "coef_departure_constants_midday_1 0.000000 \n", - "coef_departure_constants_midday_2 -4.501238 \n", - "coef_departure_constants_pm_peak -12.638403 \n", - "coef_destination_in_cbd_duration_shift_effects 0.572330 \n", - "coef_discretionary_tour_duration_lt_2_hours -1.022488 \n", - "coef_duration_constants_0_to_1_hours -2.750481 \n", - "coef_duration_constants_11_to_13_hours -6.162737 \n", - "coef_duration_constants_14_to_18_hours -2.800706 \n", - "coef_duration_constants_2_to_3_hours 0.000000 \n", - "coef_duration_constants_4_to_5_hours 0.301145 \n", - "coef_duration_constants_6_to_7_hours 0.144072 \n", - "coef_duration_constants_8_to_10_hours -10.570858 \n", - "coef_eat_out_tour_departure_shift_effects -0.024649 \n", - "coef_first_of_2_plus_tours_for_same_purpose_dep... -1.329351 \n", - "coef_free_flow_round_trip_auto_time_shift_effec... 0.017752 \n", - "coef_maintenance_tour_depart_before_7 1.154584 \n", - "coef_maintenance_tour_departure_shift_effects -0.159210 \n", - "coef_maintenance_tour_duration_shift_effects -0.146459 \n", - "coef_number_of_joint_tours_departure_shift_effects 1.356173 \n", - "coef_number_of_mandatory_tours_departure_shift_... 0.076326 \n", - "coef_school_child_age_16_plus_departure_shift_e... 0.072660 \n", - "coef_school_child_age_16_plus_duration_shift_ef... 0.209500 \n", - "coef_school_child_age_under_16_departure_shift_... 0.239007 \n", - "coef_school_child_age_under_16_duration_shift_e... -0.567863 \n", - "coef_school_child_under_16_arrive_after_22 -6.147237 \n", - "coef_shopping_tour_arrive_after_22 -7.221041 \n", - "coef_shopping_tour_depart_before_8 1.458488 \n", - "coef_shopping_tour_departure_shift_effects -0.045633 \n", - "coef_shopping_tour_duration_lt_2_hours 0.189427 \n", - "coef_shopping_tour_duration_shift_effects -0.359705 \n", - "coef_some_previously_scheduled_tour_begins_in_t... 0.411979 \n", - "coef_some_previously_scheduled_tour_ends_in_thi... 0.282029 \n", - "coef_subsequent_of_2_plus_tours_for_same_purpos... 0.191264 \n", - "coef_unavailable -999.000000 \n", - "coef_university_student_arrive_after_22 -9.181095 \n", - "coef_visit_tour_departure_shift_effects -0.109515 \n", - "coef_visit_tour_duration_shift_effects -0.123814 " + " holdfast \n", + "param_name \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_after_this_arrival_... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_adjacent_window_exists_before_this_departu... 0 \n", + "coef_adult_with_children_in_hh_arrive_19_21 0 \n", + "coef_arrival_constants_am_peak 0 \n", + "coef_arrival_constants_early 0 \n", + "coef_arrival_constants_evening 0 \n", + "coef_arrival_constants_late 0 \n", + "coef_arrival_constants_midday_1 1 \n", + "coef_arrival_constants_midday_2 0 \n", + "coef_arrival_constants_pm_peak_1 0 \n", + "coef_arrival_constants_pm_peak_2 0 \n", + "coef_arrival_constants_pm_peak_3 1 \n", + "coef_arrival_constants_pm_peak_4 0 \n", + "coef_departure_constants_am_peak_1 0 \n", + "coef_departure_constants_am_peak_2 0 \n", + "coef_departure_constants_am_peak_3 0 \n", + "coef_departure_constants_am_peak_4 0 \n", + "coef_departure_constants_early 0 \n", + "coef_departure_constants_evening 0 \n", + "coef_departure_constants_late 0 \n", + "coef_departure_constants_midday_1 1 \n", + "coef_departure_constants_midday_2 0 \n", + "coef_departure_constants_pm_peak 0 \n", + "coef_destination_in_cbd_duration_shift_effects 0 \n", + "coef_discretionary_tour_duration_lt_2_hours 0 \n", + "coef_duration_constants_0_to_1_hours 0 \n", + "coef_duration_constants_11_to_13_hours 0 \n", + "coef_duration_constants_14_to_18_hours 0 \n", + "coef_duration_constants_2_to_3_hours 1 \n", + "coef_duration_constants_4_to_5_hours 0 \n", + "coef_duration_constants_6_to_7_hours 0 \n", + "coef_duration_constants_8_to_10_hours 0 \n", + "coef_eat_out_tour_departure_shift_effects 0 \n", + "coef_first_of_2_plus_tours_for_same_purpose_dep... 0 \n", + "coef_free_flow_round_trip_auto_time_shift_effec... 0 \n", + "coef_maintenance_tour_depart_before_7 0 \n", + "coef_maintenance_tour_departure_shift_effects 0 \n", + "coef_maintenance_tour_duration_shift_effects 0 \n", + "coef_number_of_joint_tours_departure_shift_effects 0 \n", + "coef_number_of_mandatory_tours_departure_shift_... 0 \n", + "coef_school_child_age_16_plus_departure_shift_e... 0 \n", + "coef_school_child_age_16_plus_duration_shift_ef... 0 \n", + "coef_school_child_age_under_16_departure_shift_... 0 \n", + "coef_school_child_age_under_16_duration_shift_e... 0 \n", + "coef_school_child_under_16_arrive_after_22 0 \n", + "coef_shopping_tour_arrive_after_22 0 \n", + "coef_shopping_tour_depart_before_8 0 \n", + "coef_shopping_tour_departure_shift_effects 0 \n", + "coef_shopping_tour_duration_lt_2_hours 0 \n", + "coef_shopping_tour_duration_shift_effects 0 \n", + "coef_some_previously_scheduled_tour_begins_in_t... 0 \n", + "coef_some_previously_scheduled_tour_ends_in_thi... 0 \n", + "coef_subsequent_of_2_plus_tours_for_same_purpos... 0 \n", + "coef_unavailable 1 \n", + "coef_university_student_arrive_after_22 0 \n", + "coef_visit_tour_departure_shift_effects 0 \n", + "coef_visit_tour_duration_shift_effects 0 " ] }, "metadata": {}, @@ -2970,10 +3140,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate()\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.472441734021349e-17 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -2989,39 +3157,39 @@ " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -13.526580\n", + " 0.800851\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction\n", - " -14.169341\n", + " 0.494438\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " -13.495922\n", + " 0.008839\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction\n", - " -7.716247\n", + " -0.549692\n", " \n", " \n", " coef_adult_with_children_in_hh_arrive_19_21\n", - " -0.002541\n", + " -0.078997\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " 4.647673\n", + " -8.413713\n", " \n", " \n", " coef_arrival_constants_early\n", - " 24.793142\n", + " -6.758955\n", " \n", " \n", " coef_arrival_constants_evening\n", - " -4.291783\n", + " -2.675953\n", " \n", " \n", " coef_arrival_constants_late\n", - " -9.617038\n", + " -4.194942\n", " \n", " \n", " coef_arrival_constants_midday_1\n", @@ -3029,15 +3197,15 @@ " \n", " \n", " coef_arrival_constants_midday_2\n", - " 2.692519\n", + " 1.416723\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", - " 1.849237\n", + " 0.964024\n", " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " 1.518410\n", + " 1.200835\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", @@ -3045,35 +3213,35 @@ " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " -1.182768\n", + " -0.725959\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -25.000000\n", + " -13.990759\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", - " -4.236849\n", + " -10.163788\n", " \n", " \n", " coef_departure_constants_am_peak_3\n", - " 0.806223\n", + " -2.799430\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " 1.408142\n", + " 0.514393\n", " \n", " \n", " coef_departure_constants_early\n", - " -24.418086\n", + " -17.865880\n", " \n", " \n", " coef_departure_constants_evening\n", - " -14.557517\n", + " -19.574287\n", " \n", " \n", " coef_departure_constants_late\n", - " -20.421814\n", + " -21.444922\n", " \n", " \n", " coef_departure_constants_midday_1\n", @@ -3081,31 +3249,31 @@ " \n", " \n", " coef_departure_constants_midday_2\n", - " -4.501238\n", + " -1.886316\n", " \n", " \n", " coef_departure_constants_pm_peak\n", - " -12.638403\n", + " -18.238556\n", " \n", " \n", " coef_destination_in_cbd_duration_shift_effects\n", - " 0.572330\n", + " 0.130935\n", " \n", " \n", " coef_discretionary_tour_duration_lt_2_hours\n", - " -1.022488\n", + " -0.772425\n", " \n", " \n", " coef_duration_constants_0_to_1_hours\n", - " -2.750481\n", + " -2.021348\n", " \n", " \n", " coef_duration_constants_11_to_13_hours\n", - " -6.162737\n", + " -1.608105\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -2.800706\n", + " -3.067613\n", " \n", " \n", " coef_duration_constants_2_to_3_hours\n", @@ -3113,118 +3281,118 @@ " \n", " \n", " coef_duration_constants_4_to_5_hours\n", - " 0.301145\n", + " -0.519561\n", " \n", " \n", " coef_duration_constants_6_to_7_hours\n", - " 0.144072\n", + " -0.868309\n", " \n", " \n", " coef_duration_constants_8_to_10_hours\n", - " -10.570858\n", + " -1.020095\n", " \n", " \n", " coef_eat_out_tour_departure_shift_effects\n", - " -0.024649\n", + " 0.056578\n", " \n", " \n", " coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect\n", - " -1.329351\n", + " -0.506782\n", " \n", " \n", " coef_free_flow_round_trip_auto_time_shift_effects_duration\n", - " 0.017752\n", + " 0.003622\n", " \n", " \n", " coef_maintenance_tour_depart_before_7\n", - " 1.154584\n", + " -0.523693\n", " \n", " \n", " coef_maintenance_tour_departure_shift_effects\n", - " -0.159210\n", + " -0.135634\n", " \n", " \n", " coef_maintenance_tour_duration_shift_effects\n", - " -0.146459\n", + " -0.038428\n", " \n", " \n", " coef_number_of_joint_tours_departure_shift_effects\n", - " 1.356173\n", + " 0.128742\n", " \n", " \n", " coef_number_of_mandatory_tours_departure_shift_effects\n", - " 0.076326\n", + " -0.009788\n", " \n", " \n", " coef_school_child_age_16_plus_departure_shift_effects\n", - " 0.072660\n", + " 0.106395\n", " \n", " \n", " coef_school_child_age_16_plus_duration_shift_effects\n", - " 0.209500\n", + " 0.315781\n", " \n", " \n", " coef_school_child_age_under_16_departure_shift_effects\n", - " 0.239007\n", + " 0.015473\n", " \n", " \n", " coef_school_child_age_under_16_duration_shift_effects\n", - " -0.567863\n", + " 0.327527\n", " \n", " \n", " coef_school_child_under_16_arrive_after_22\n", - " -6.147237\n", + " -5.038827\n", " \n", " \n", " coef_shopping_tour_arrive_after_22\n", - " -7.221041\n", + " -0.033268\n", " \n", " \n", " coef_shopping_tour_depart_before_8\n", - " 1.458488\n", + " -1.484109\n", " \n", " \n", " coef_shopping_tour_departure_shift_effects\n", - " -0.045633\n", + " -0.099254\n", " \n", " \n", " coef_shopping_tour_duration_lt_2_hours\n", - " 0.189427\n", + " 0.699700\n", " \n", " \n", " coef_shopping_tour_duration_shift_effects\n", - " -0.359705\n", + " -0.101207\n", " \n", " \n", " coef_some_previously_scheduled_tour_begins_in_this_arrival_hour\n", - " 0.411979\n", + " -0.017681\n", " \n", " \n", " coef_some_previously_scheduled_tour_ends_in_this_departure_hour\n", - " 0.282029\n", + " -0.288048\n", " \n", " \n", " coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect\n", - " 0.191264\n", + " 0.062417\n", " \n", " \n", " coef_unavailable\n", - " -25.000000\n", + " -999.000000\n", " \n", " \n", " coef_university_student_arrive_after_22\n", - " -9.181095\n", + " 0.360948\n", " \n", " \n", " coef_visit_tour_departure_shift_effects\n", - " -0.109515\n", + " 0.136717\n", " \n", " \n", " coef_visit_tour_duration_shift_effects\n", - " -0.123814\n", + " 0.172436\n", " \n", " \n", - "loglike-173.82837615906058d_loglike\n", + "
logloss2.1895702975048073d_logloss\n", " \n", " \n", " \n", @@ -3234,39 +3402,39 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3274,15 +3442,15 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3290,35 +3458,35 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3326,31 +3494,31 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3358,99 +3526,99 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3458,161 +3626,161 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction-9.350492e-076.340297e-05
coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction-3.831848e-074.838604e-05
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction-1.411114e-062.000787e-08
coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction-8.562988e-066.385755e-05
coef_adult_with_children_in_hh_arrive_19_219.515373e-051.672535e-04
coef_arrival_constants_am_peak-5.959256e-054.015659e-05
coef_arrival_constants_early-6.500054e-05-7.121334e-05
coef_arrival_constants_evening2.456794e-041.588972e-05
coef_arrival_constants_late-2.788545e-041.960950e-04
coef_arrival_constants_midday_1
coef_arrival_constants_midday_2-2.921253e-05-7.425169e-06
coef_arrival_constants_pm_peak_1-8.553639e-05-8.554627e-05
coef_arrival_constants_pm_peak_22.958919e-05-2.178755e-05
coef_arrival_constants_pm_peak_3
coef_arrival_constants_pm_peak_4-6.027051e-063.187347e-05
coef_departure_constants_am_peak_1-9.035869e-057.176011e-06
coef_departure_constants_am_peak_2-3.843278e-071.002541e-04
coef_departure_constants_am_peak_3-1.038927e-045.286380e-05
coef_departure_constants_am_peak_42.089562e-055.196924e-06
coef_departure_constants_early2.533008e-05-4.734722e-05
coef_departure_constants_evening9.169928e-06-5.250786e-05
coef_departure_constants_late-5.558022e-044.394692e-05
coef_departure_constants_midday_1
coef_departure_constants_midday_22.692412e-05-1.886914e-04
coef_departure_constants_pm_peak1.942225e-043.759255e-05
coef_destination_in_cbd_duration_shift_effects3.441152e-041.613685e-05
coef_discretionary_tour_duration_lt_2_hours7.722617e-05-2.070609e-04
coef_duration_constants_0_to_1_hours-1.588601e-044.953135e-05
coef_duration_constants_11_to_13_hours-3.605513e-042.382282e-05
coef_duration_constants_14_to_18_hours-1.774351e-04-3.488047e-05
coef_duration_constants_2_to_3_hours
coef_duration_constants_4_to_5_hours2.266202e-05-7.768694e-07
coef_duration_constants_6_to_7_hours-4.640922e-05-1.838870e-05
coef_duration_constants_8_to_10_hours-2.554467e-05-2.938670e-05
coef_eat_out_tour_departure_shift_effects-3.267677e-042.917206e-05
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect-1.021958e-059.739371e-05
coef_free_flow_round_trip_auto_time_shift_effects_duration8.421848e-03-1.212989e-05
coef_maintenance_tour_depart_before_7-1.129004e-048.298165e-06
coef_maintenance_tour_departure_shift_effects-2.093211e-031.059914e-04
coef_maintenance_tour_duration_shift_effects2.786266e-042.022297e-05
coef_number_of_joint_tours_departure_shift_effects-2.856908e-03-1.252624e-04
coef_number_of_mandatory_tours_departure_shift_effects-2.687845e-03-1.288240e-04
coef_school_child_age_16_plus_departure_shift_effects0.000000e+001.808366e-04
coef_school_child_age_16_plus_duration_shift_effects0.000000e+004.559202e-05
coef_school_child_age_under_16_departure_shift_effects-1.932195e-04-1.455769e-05
coef_school_child_age_under_16_duration_shift_effects1.479815e-04-4.476322e-05
coef_school_child_under_16_arrive_after_22-9.565965e-05-4.170945e-05
coef_shopping_tour_arrive_after_22-7.152259e-05-8.668123e-05
coef_shopping_tour_depart_before_8-3.306479e-056.613654e-05
coef_shopping_tour_departure_shift_effects-2.740920e-049.925783e-05
coef_shopping_tour_duration_lt_2_hours3.816925e-058.629531e-05
coef_shopping_tour_duration_shift_effects1.258312e-041.970358e-05
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour3.226289e-056.069742e-05
coef_some_previously_scheduled_tour_ends_in_this_departure_hour3.161563e-043.334213e-05
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect1.181360e-05-1.230984e-04
coef_unavailable
coef_university_student_arrive_after_22-2.193359e-06-5.714988e-05
coef_visit_tour_departure_shift_effects-4.986513e-04-1.378200e-04
coef_visit_tour_duration_shift_effects2.469947e-04-2.132350e-05
nit67nfev106njev67status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.587568method'slsqp'n_cases91iteration_number67logloss1.9102019358138524" + "nit144nfev148njev144status0message'Optimization terminated successfully'successTrueelapsed_time0:00:03.104941method'slsqp'n_cases1277iteration_number144loglike-2789.5125590211246" ], "text/plain": [ - "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -13.526580\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction -14.169341\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -13.495922\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction -7.716247\n", - "┃ coef_adult_with_children_in_hh_arrive_19_21 -0.002541\n", - "┃ coef_arrival_constants_am_peak 4.647673\n", - "┃ coef_arrival_constants_early 24.793142\n", - "┃ coef_arrival_constants_evening -4.291783\n", - "┃ coef_arrival_constants_late -9.617038\n", - "┃ coef_arrival_constants_midday_1 0.000000\n", - "┃ coef_arrival_constants_midday_2 2.692519\n", - "┃ coef_arrival_constants_pm_peak_1 1.849237\n", - "┃ coef_arrival_constants_pm_peak_2 1.518410\n", - "┃ coef_arrival_constants_pm_peak_3 0.000000\n", - "┃ coef_arrival_constants_pm_peak_4 -1.182768\n", - "┃ coef_departure_constants_am_peak_1 -25.000000\n", - "┃ coef_departure_constants_am_peak_2 -4.236849\n", - "┃ coef_departure_constants_am_peak_3 0.806223\n", - "┃ coef_departure_constants_am_peak_4 1.408142\n", - "┃ coef_departure_constants_early -24.418086\n", - "┃ coef_departure_constants_evening -14.557517\n", - "┃ coef_departure_constants_late -20.421814\n", - "┃ coef_departure_constants_midday_1 0.000000\n", - "┃ coef_departure_constants_midday_2 -4.501238\n", - "┃ coef_departure_constants_pm_peak -12.638403\n", - "┃ coef_destination_in_cbd_duration_shift_effects 0.572330\n", - "┃ coef_discretionary_tour_duration_lt_2_hours -1.022488\n", - "┃ coef_duration_constants_0_to_1_hours -2.750481\n", - "┃ coef_duration_constants_11_to_13_hours -6.162737\n", - "┃ coef_duration_constants_14_to_18_hours -2.800706\n", - "┃ coef_duration_constants_2_to_3_hours 0.000000\n", - "┃ coef_duration_constants_4_to_5_hours 0.301145\n", - "┃ coef_duration_constants_6_to_7_hours 0.144072\n", - "┃ coef_duration_constants_8_to_10_hours -10.570858\n", - "┃ coef_eat_out_tour_departure_shift_effects -0.024649\n", - "┃ coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect -1.329351\n", - "┃ coef_free_flow_round_trip_auto_time_shift_effects_duration 0.017752\n", - "┃ coef_maintenance_tour_depart_before_7 1.154584\n", - "┃ coef_maintenance_tour_departure_shift_effects -0.159210\n", - "┃ coef_maintenance_tour_duration_shift_effects -0.146459\n", - "┃ coef_number_of_joint_tours_departure_shift_effects 1.356173\n", - "┃ coef_number_of_mandatory_tours_departure_shift_effects 0.076326\n", - "┃ coef_school_child_age_16_plus_departure_shift_effects 0.072660\n", - "┃ coef_school_child_age_16_plus_duration_shift_effects 0.209500\n", - "┃ coef_school_child_age_under_16_departure_shift_effects 0.239007\n", - "┃ coef_school_child_age_under_16_duration_shift_effects -0.567863\n", - "┃ coef_school_child_under_16_arrive_after_22 -6.147237\n", - "┃ coef_shopping_tour_arrive_after_22 -7.221041\n", - "┃ coef_shopping_tour_depart_before_8 1.458488\n", - "┃ coef_shopping_tour_departure_shift_effects -0.045633\n", - "┃ coef_shopping_tour_duration_lt_2_hours 0.189427\n", - "┃ coef_shopping_tour_duration_shift_effects -0.359705\n", - "┃ coef_some_previously_scheduled_tour_begins_in_this_arrival_hour 0.411979\n", - "┃ coef_some_previously_scheduled_tour_ends_in_this_departure_hour 0.282029\n", - "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.191264\n", - "┃ coef_unavailable -25.000000\n", - "┃ coef_university_student_arrive_after_22 -9.181095\n", - "┃ coef_visit_tour_departure_shift_effects -0.109515\n", - "┃ coef_visit_tour_duration_shift_effects -0.123814\n", + "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.800851\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction 0.494438\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.008839\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction -0.549692\n", + "┃ coef_adult_with_children_in_hh_arrive_19_21 -0.078997\n", + "┃ coef_arrival_constants_am_peak -8.413713\n", + "┃ coef_arrival_constants_early -6.758955\n", + "┃ coef_arrival_constants_evening -2.675953\n", + "┃ coef_arrival_constants_late -4.194942\n", + "┃ coef_arrival_constants_midday_1 0.000000\n", + "┃ coef_arrival_constants_midday_2 1.416723\n", + "┃ coef_arrival_constants_pm_peak_1 0.964024\n", + "┃ coef_arrival_constants_pm_peak_2 1.200835\n", + "┃ coef_arrival_constants_pm_peak_3 0.000000\n", + "┃ coef_arrival_constants_pm_peak_4 -0.725959\n", + "┃ coef_departure_constants_am_peak_1 -13.990759\n", + "┃ coef_departure_constants_am_peak_2 -10.163788\n", + "┃ coef_departure_constants_am_peak_3 -2.799430\n", + "┃ coef_departure_constants_am_peak_4 0.514393\n", + "┃ coef_departure_constants_early -17.865880\n", + "┃ coef_departure_constants_evening -19.574287\n", + "┃ coef_departure_constants_late -21.444922\n", + "┃ coef_departure_constants_midday_1 0.000000\n", + "┃ coef_departure_constants_midday_2 -1.886316\n", + "┃ coef_departure_constants_pm_peak -18.238556\n", + "┃ coef_destination_in_cbd_duration_shift_effects 0.130935\n", + "┃ coef_discretionary_tour_duration_lt_2_hours -0.772425\n", + "┃ coef_duration_constants_0_to_1_hours -2.021348\n", + "┃ coef_duration_constants_11_to_13_hours -1.608105\n", + "┃ coef_duration_constants_14_to_18_hours -3.067613\n", + "┃ coef_duration_constants_2_to_3_hours 0.000000\n", + "┃ coef_duration_constants_4_to_5_hours -0.519561\n", + "┃ coef_duration_constants_6_to_7_hours -0.868309\n", + "┃ coef_duration_constants_8_to_10_hours -1.020095\n", + "┃ coef_eat_out_tour_departure_shift_effects 0.056578\n", + "┃ coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect -0.506782\n", + "┃ coef_free_flow_round_trip_auto_time_shift_effects_duration 0.003622\n", + "┃ coef_maintenance_tour_depart_before_7 -0.523693\n", + "┃ coef_maintenance_tour_departure_shift_effects -0.135634\n", + "┃ coef_maintenance_tour_duration_shift_effects -0.038428\n", + "┃ coef_number_of_joint_tours_departure_shift_effects 0.128742\n", + "┃ coef_number_of_mandatory_tours_departure_shift_effects -0.009788\n", + "┃ coef_school_child_age_16_plus_departure_shift_effects 0.106395\n", + "┃ coef_school_child_age_16_plus_duration_shift_effects 0.315781\n", + "┃ coef_school_child_age_under_16_departure_shift_effects 0.015473\n", + "┃ coef_school_child_age_under_16_duration_shift_effects 0.327527\n", + "┃ coef_school_child_under_16_arrive_after_22 -5.038827\n", + "┃ coef_shopping_tour_arrive_after_22 -0.033268\n", + "┃ coef_shopping_tour_depart_before_8 -1.484109\n", + "┃ coef_shopping_tour_departure_shift_effects -0.099254\n", + "┃ coef_shopping_tour_duration_lt_2_hours 0.699700\n", + "┃ coef_shopping_tour_duration_shift_effects -0.101207\n", + "┃ coef_some_previously_scheduled_tour_begins_in_this_arrival_hour -0.017681\n", + "┃ coef_some_previously_scheduled_tour_ends_in_this_departure_hour -0.288048\n", + "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.062417\n", + "┃ coef_unavailable -999.000000\n", + "┃ coef_university_student_arrive_after_22 0.360948\n", + "┃ coef_visit_tour_departure_shift_effects 0.136717\n", + "┃ coef_visit_tour_duration_shift_effects 0.172436\n", "┃ dtype: float64\n", - "┣ loglike: -173.82837615906058\n", - "┣ d_loglike: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -9.350492e-07\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction -3.831848e-07\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -1.411114e-06\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction -8.562988e-06\n", - "┃ coef_adult_with_children_in_hh_arrive_19_21 9.515373e-05\n", - "┃ coef_arrival_constants_am_peak -5.959256e-05\n", - "┃ coef_arrival_constants_early -6.500054e-05\n", - "┃ coef_arrival_constants_evening 2.456794e-04\n", - "┃ coef_arrival_constants_late -2.788545e-04\n", + "┣ logloss: 2.1895702975048073\n", + "┣ d_logloss: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 6.340297e-05\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction 4.838604e-05\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 2.000787e-08\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction 6.385755e-05\n", + "┃ coef_adult_with_children_in_hh_arrive_19_21 1.672535e-04\n", + "┃ coef_arrival_constants_am_peak 4.015659e-05\n", + "┃ coef_arrival_constants_early -7.121334e-05\n", + "┃ coef_arrival_constants_evening 1.588972e-05\n", + "┃ coef_arrival_constants_late 1.960950e-04\n", "┃ coef_arrival_constants_midday_1 0.000000e+00\n", - "┃ coef_arrival_constants_midday_2 -2.921253e-05\n", - "┃ coef_arrival_constants_pm_peak_1 -8.553639e-05\n", - "┃ coef_arrival_constants_pm_peak_2 2.958919e-05\n", + "┃ coef_arrival_constants_midday_2 -7.425169e-06\n", + "┃ coef_arrival_constants_pm_peak_1 -8.554627e-05\n", + "┃ coef_arrival_constants_pm_peak_2 -2.178755e-05\n", "┃ coef_arrival_constants_pm_peak_3 0.000000e+00\n", - "┃ coef_arrival_constants_pm_peak_4 -6.027051e-06\n", - "┃ coef_departure_constants_am_peak_1 -9.035869e-05\n", - "┃ coef_departure_constants_am_peak_2 -3.843278e-07\n", - "┃ coef_departure_constants_am_peak_3 -1.038927e-04\n", - "┃ coef_departure_constants_am_peak_4 2.089562e-05\n", - "┃ coef_departure_constants_early 2.533008e-05\n", - "┃ coef_departure_constants_evening 9.169928e-06\n", - "┃ coef_departure_constants_late -5.558022e-04\n", + "┃ coef_arrival_constants_pm_peak_4 3.187347e-05\n", + "┃ coef_departure_constants_am_peak_1 7.176011e-06\n", + "┃ coef_departure_constants_am_peak_2 1.002541e-04\n", + "┃ coef_departure_constants_am_peak_3 5.286380e-05\n", + "┃ coef_departure_constants_am_peak_4 5.196924e-06\n", + "┃ coef_departure_constants_early -4.734722e-05\n", + "┃ coef_departure_constants_evening -5.250786e-05\n", + "┃ coef_departure_constants_late 4.394692e-05\n", "┃ coef_departure_constants_midday_1 0.000000e+00\n", - "┃ coef_departure_constants_midday_2 2.692412e-05\n", - "┃ coef_departure_constants_pm_peak 1.942225e-04\n", - "┃ coef_destination_in_cbd_duration_shift_effects 3.441152e-04\n", - "┃ coef_discretionary_tour_duration_lt_2_hours 7.722617e-05\n", - "┃ coef_duration_constants_0_to_1_hours -1.588601e-04\n", - "┃ coef_duration_constants_11_to_13_hours -3.605513e-04\n", - "┃ coef_duration_constants_14_to_18_hours -1.774351e-04\n", + "┃ coef_departure_constants_midday_2 -1.886914e-04\n", + "┃ coef_departure_constants_pm_peak 3.759255e-05\n", + "┃ coef_destination_in_cbd_duration_shift_effects 1.613685e-05\n", + "┃ coef_discretionary_tour_duration_lt_2_hours -2.070609e-04\n", + "┃ coef_duration_constants_0_to_1_hours 4.953135e-05\n", + "┃ coef_duration_constants_11_to_13_hours 2.382282e-05\n", + "┃ coef_duration_constants_14_to_18_hours -3.488047e-05\n", "┃ coef_duration_constants_2_to_3_hours 0.000000e+00\n", - "┃ coef_duration_constants_4_to_5_hours 2.266202e-05\n", - "┃ coef_duration_constants_6_to_7_hours -4.640922e-05\n", - "┃ coef_duration_constants_8_to_10_hours -2.554467e-05\n", - "┃ coef_eat_out_tour_departure_shift_effects -3.267677e-04\n", - "┃ coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect -1.021958e-05\n", - "┃ coef_free_flow_round_trip_auto_time_shift_effects_duration 8.421848e-03\n", - "┃ coef_maintenance_tour_depart_before_7 -1.129004e-04\n", - "┃ coef_maintenance_tour_departure_shift_effects -2.093211e-03\n", - "┃ coef_maintenance_tour_duration_shift_effects 2.786266e-04\n", - "┃ coef_number_of_joint_tours_departure_shift_effects -2.856908e-03\n", - "┃ coef_number_of_mandatory_tours_departure_shift_effects -2.687845e-03\n", - "┃ coef_school_child_age_16_plus_departure_shift_effects 0.000000e+00\n", - "┃ coef_school_child_age_16_plus_duration_shift_effects 0.000000e+00\n", - "┃ coef_school_child_age_under_16_departure_shift_effects -1.932195e-04\n", - "┃ coef_school_child_age_under_16_duration_shift_effects 1.479815e-04\n", - "┃ coef_school_child_under_16_arrive_after_22 -9.565965e-05\n", - "┃ coef_shopping_tour_arrive_after_22 -7.152259e-05\n", - "┃ coef_shopping_tour_depart_before_8 -3.306479e-05\n", - "┃ coef_shopping_tour_departure_shift_effects -2.740920e-04\n", - "┃ coef_shopping_tour_duration_lt_2_hours 3.816925e-05\n", - "┃ coef_shopping_tour_duration_shift_effects 1.258312e-04\n", - "┃ coef_some_previously_scheduled_tour_begins_in_this_arrival_hour 3.226289e-05\n", - "┃ coef_some_previously_scheduled_tour_ends_in_this_departure_hour 3.161563e-04\n", - "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 1.181360e-05\n", + "┃ coef_duration_constants_4_to_5_hours -7.768694e-07\n", + "┃ coef_duration_constants_6_to_7_hours -1.838870e-05\n", + "┃ coef_duration_constants_8_to_10_hours -2.938670e-05\n", + "┃ coef_eat_out_tour_departure_shift_effects 2.917206e-05\n", + "┃ coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect 9.739371e-05\n", + "┃ coef_free_flow_round_trip_auto_time_shift_effects_duration -1.212989e-05\n", + "┃ coef_maintenance_tour_depart_before_7 8.298165e-06\n", + "┃ coef_maintenance_tour_departure_shift_effects 1.059914e-04\n", + "┃ coef_maintenance_tour_duration_shift_effects 2.022297e-05\n", + "┃ coef_number_of_joint_tours_departure_shift_effects -1.252624e-04\n", + "┃ coef_number_of_mandatory_tours_departure_shift_effects -1.288240e-04\n", + "┃ coef_school_child_age_16_plus_departure_shift_effects 1.808366e-04\n", + "┃ coef_school_child_age_16_plus_duration_shift_effects 4.559202e-05\n", + "┃ coef_school_child_age_under_16_departure_shift_effects -1.455769e-05\n", + "┃ coef_school_child_age_under_16_duration_shift_effects -4.476322e-05\n", + "┃ coef_school_child_under_16_arrive_after_22 -4.170945e-05\n", + "┃ coef_shopping_tour_arrive_after_22 -8.668123e-05\n", + "┃ coef_shopping_tour_depart_before_8 6.613654e-05\n", + "┃ coef_shopping_tour_departure_shift_effects 9.925783e-05\n", + "┃ coef_shopping_tour_duration_lt_2_hours 8.629531e-05\n", + "┃ coef_shopping_tour_duration_shift_effects 1.970358e-05\n", + "┃ coef_some_previously_scheduled_tour_begins_in_this_arrival_hour 6.069742e-05\n", + "┃ coef_some_previously_scheduled_tour_ends_in_this_departure_hour 3.334213e-05\n", + "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect -1.230984e-04\n", "┃ coef_unavailable 0.000000e+00\n", - "┃ coef_university_student_arrive_after_22 -2.193359e-06\n", - "┃ coef_visit_tour_departure_shift_effects -4.986513e-04\n", - "┃ coef_visit_tour_duration_shift_effects 2.469947e-04\n", + "┃ coef_university_student_arrive_after_22 -5.714988e-05\n", + "┃ coef_visit_tour_departure_shift_effects -1.378200e-04\n", + "┃ coef_visit_tour_duration_shift_effects -2.132350e-05\n", "┃ dtype: float64\n", - "┣ nit: 67\n", - "┣ nfev: 106\n", - "┣ njev: 67\n", + "┣ nit: 144\n", + "┣ nfev: 148\n", + "┣ njev: 144\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(microseconds=587568)\n", + "┣ elapsed_time: datetime.timedelta(seconds=3, microseconds=104941)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 91\n", - "┣ iteration_number: 67\n", - "┣ logloss: 1.9102019358138524" + "┣ n_cases: 1277\n", + "┣ iteration_number: 144\n", + "┣ loglike: -2789.5125590211246" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction-13.5 1.03e+03-0.01 NA 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction-14.2 1.62e+03-0.01 NA 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction-13.5 842.-0.02 NA 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction-7.72 342.-0.02 NA 0.00
coef_adult_with_children_in_hh_arrive_19_21-0.00254 0.815-0.00 NA 0.00
coef_arrival_constants_am_peak 4.65 1.75 2.66** NA 0.00
coef_arrival_constants_early 24.8 1.71 14.53*** NA 0.00
coef_arrival_constants_evening-4.29 0.931-4.61*** NA 0.00
coef_arrival_constants_late-9.62 1.70-5.65*** NA 0.00
coef_arrival_constants_midday_1 0.00 NA NA NA 0.00fixed value
coef_arrival_constants_midday_2 2.69 0.752 3.58*** NA 0.00
coef_arrival_constants_pm_peak_1 1.85 0.647 2.86** NA 0.00
coef_arrival_constants_pm_peak_2 1.52 0.532 2.85** NA 0.00
coef_arrival_constants_pm_peak_3 0.00 NA NA NA 0.00fixed value
coef_arrival_constants_pm_peak_4-1.18 0.567-2.08* NA 0.00
coef_departure_constants_am_peak_1-25.0 NA NA[***] BIG 0.00coef_departure_constants_am_peak_1 ≥ -25.0
coef_departure_constants_am_peak_2-4.24 1.90-2.23* NA 0.00
coef_departure_constants_am_peak_3 0.806 1.29 0.62 NA 0.00
coef_departure_constants_am_peak_4 1.41 0.775 1.82 NA 0.00
coef_departure_constants_early-24.4 1.04-23.39*** NA 0.00
coef_departure_constants_evening-14.6 2.93-4.96*** NA 0.00
coef_departure_constants_late-20.4 42.5-0.48 NA 0.00
coef_departure_constants_midday_1 0.00 NA NA NA 0.00fixed value
coef_departure_constants_midday_2-4.50 1.17-3.85*** NA 0.00
coef_departure_constants_pm_peak-12.6 2.65-4.77*** NA 0.00
coef_destination_in_cbd_duration_shift_effects 0.572 0.222 2.58** NA 0.00
coef_discretionary_tour_duration_lt_2_hours-1.02 1.10-0.93 NA 0.00
coef_duration_constants_0_to_1_hours-2.75 0.678-4.05*** NA 0.00
coef_duration_constants_11_to_13_hours-6.16 52.7-0.12 NA 0.00
coef_duration_constants_14_to_18_hours-2.80 75.2-0.04 NA 0.00
coef_duration_constants_2_to_3_hours 0.00 NA NA NA 0.00fixed value
coef_duration_constants_4_to_5_hours 0.301 0.552 0.55 NA 0.00
coef_duration_constants_6_to_7_hours 0.144 1.03 0.14 NA 0.00
coef_duration_constants_8_to_10_hours-10.6 198.-0.05 NA 0.00
coef_eat_out_tour_departure_shift_effects-0.0246 0.146-0.17 NA 0.00
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect-1.33 0.662-2.01* NA 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.0178 0.00963 1.84 NA 0.00
coef_maintenance_tour_depart_before_7 1.15 1.69 0.68 NA 0.00
coef_maintenance_tour_departure_shift_effects-0.159 0.129-1.23 NA 0.00
coef_maintenance_tour_duration_shift_effects-0.146 0.234-0.62 NA 0.00
coef_number_of_joint_tours_departure_shift_effects 1.36 0.199 6.82*** NA 0.00
coef_number_of_mandatory_tours_departure_shift_effects 0.0763 0.0738 1.03 NA 0.00
coef_school_child_age_16_plus_departure_shift_effects 0.0727 6.26e-07 BIG*** NA 0.00
coef_school_child_age_16_plus_duration_shift_effects 0.209 2.94e-07 BIG*** NA 0.00
coef_school_child_age_under_16_departure_shift_effects 0.239 0.289 0.83 NA 0.00
coef_school_child_age_under_16_duration_shift_effects-0.568 0.535-1.06 NA 0.00
coef_school_child_under_16_arrive_after_22-6.15 102.-0.06 NA 0.00
coef_shopping_tour_arrive_after_22-7.22 118.-0.06 NA 0.00
coef_shopping_tour_depart_before_8 1.46 2.09 0.70 NA 0.00
coef_shopping_tour_departure_shift_effects-0.0456 0.177-0.26 NA 0.00
coef_shopping_tour_duration_lt_2_hours 0.189 1.14 0.17 NA 0.00
coef_shopping_tour_duration_shift_effects-0.360 0.344-1.04 NA 0.00
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour 0.412 0.861 0.48 NA 0.00
coef_some_previously_scheduled_tour_ends_in_this_departure_hour 0.282 0.440 0.64 NA 0.00
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.191 0.745 0.26 NA 0.00
coef_unavailable-999. NA NA NA 0.00fixed value
coef_university_student_arrive_after_22-9.18 675.-0.01 NA 0.00
coef_visit_tour_departure_shift_effects-0.110 0.135-0.81 NA 0.00
coef_visit_tour_duration_shift_effects-0.124 0.317-0.39 NA 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.801 3.59 0.22 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_tour_interaction 0.494 4.24 0.12 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.00884 198. 0.00 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_tour_interaction-0.550 1.32-0.42 0.00
coef_adult_with_children_in_hh_arrive_19_21-0.0790 0.205-0.39 0.00
coef_arrival_constants_am_peak-8.41 19.7-0.43 0.00
coef_arrival_constants_early-6.76 19.7-0.34 0.00
coef_arrival_constants_evening-2.68 0.227-11.78*** 0.00
coef_arrival_constants_late-4.19 0.286-14.65*** 0.00
coef_arrival_constants_midday_1 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_midday_2 1.42 0.133 10.62*** 0.00
coef_arrival_constants_pm_peak_1 0.964 0.146 6.59*** 0.00
coef_arrival_constants_pm_peak_2 1.20 0.131 9.17*** 0.00
coef_arrival_constants_pm_peak_3 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_pm_peak_4-0.726 0.157-4.63*** 0.00
coef_departure_constants_am_peak_1-14.0 1.35-10.33*** 0.00
coef_departure_constants_am_peak_2-10.2 0.850-11.96*** 0.00
coef_departure_constants_am_peak_3-2.80 0.381-7.35*** 0.00
coef_departure_constants_am_peak_4 0.514 0.155 3.32*** 0.00
coef_departure_constants_early-17.9 1.63-10.95*** 0.00
coef_departure_constants_evening-19.6 19.7-0.99 0.00
coef_departure_constants_late-21.4 19.7-1.09 0.00
coef_departure_constants_midday_1 0.00 0.00 NA 0.00fixed value
coef_departure_constants_midday_2-1.89 0.244-7.72*** 0.00
coef_departure_constants_pm_peak-18.2 19.7-0.93 0.00
coef_destination_in_cbd_duration_shift_effects 0.131 0.0653 2.01* 0.00
coef_discretionary_tour_duration_lt_2_hours-0.772 0.233-3.32*** 0.00
coef_duration_constants_0_to_1_hours-2.02 0.171-11.83*** 0.00
coef_duration_constants_11_to_13_hours-1.61 0.861-1.87 0.00
coef_duration_constants_14_to_18_hours-3.07 4.80-0.64 0.00
coef_duration_constants_2_to_3_hours 0.00 0.00 NA 0.00fixed value
coef_duration_constants_4_to_5_hours-0.520 0.116-4.49*** 0.00
coef_duration_constants_6_to_7_hours-0.868 0.210-4.13*** 0.00
coef_duration_constants_8_to_10_hours-1.02 0.359-2.84** 0.00
coef_eat_out_tour_departure_shift_effects 0.0566 0.0437 1.29 0.00
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect-0.507 0.511-0.99 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.00362 0.00112 3.25** 0.00
coef_maintenance_tour_depart_before_7-0.524 0.819-0.64 0.00
coef_maintenance_tour_departure_shift_effects-0.136 0.0418-3.24** 0.00
coef_maintenance_tour_duration_shift_effects-0.0384 0.0575-0.67 0.00
coef_number_of_joint_tours_departure_shift_effects 0.129 0.0651 1.98* 0.00
coef_number_of_mandatory_tours_departure_shift_effects-0.00979 0.0303-0.32 0.00
coef_school_child_age_16_plus_departure_shift_effects 0.106 0.110 0.96 0.00
coef_school_child_age_16_plus_duration_shift_effects 0.316 0.131 2.40* 0.00
coef_school_child_age_under_16_departure_shift_effects 0.0155 0.0681 0.23 0.00
coef_school_child_age_under_16_duration_shift_effects 0.328 0.0792 4.13*** 0.00
coef_school_child_under_16_arrive_after_22-5.04 4.37-1.15 0.00
coef_shopping_tour_arrive_after_22-0.0333 0.576-0.06 0.00
coef_shopping_tour_depart_before_8-1.48 1.11-1.34 0.00
coef_shopping_tour_departure_shift_effects-0.0993 0.0762-1.30 0.00
coef_shopping_tour_duration_lt_2_hours 0.700 0.275 2.54* 0.00
coef_shopping_tour_duration_shift_effects-0.101 0.0665-1.52 0.00
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour-0.0177 0.224-0.08 0.00
coef_some_previously_scheduled_tour_ends_in_this_departure_hour-0.288 0.121-2.38* 0.00
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.0624 0.340 0.18 0.00
coef_unavailable-999. 0.00 NA 0.00fixed value
coef_university_student_arrive_after_22 0.361 0.694 0.52 0.00
coef_visit_tour_departure_shift_effects 0.137 0.0492 2.78** 0.00
coef_visit_tour_duration_shift_effects 0.172 0.0622 2.77** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -4257,7 +4392,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -4278,20 +4413,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -4310,7 +4434,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -4355,217 +4479,217 @@ " \n", " 2\n", " coef_free_flow_round_trip_auto_time_shift_effe...\n", - " 0.017752\n", + " 0.003622\n", " F\n", " \n", " \n", " 3\n", " coef_shopping_tour_departure_shift_effects\n", - " -0.045633\n", + " -0.099254\n", " F\n", " \n", " \n", " 4\n", " coef_shopping_tour_duration_shift_effects\n", - " -0.359705\n", + " -0.101207\n", " F\n", " \n", " \n", " 5\n", " coef_maintenance_tour_departure_shift_effects\n", - " -0.159210\n", + " -0.135634\n", " F\n", " \n", " \n", " 6\n", " coef_maintenance_tour_duration_shift_effects\n", - " -0.146459\n", + " -0.038428\n", " F\n", " \n", " \n", " 7\n", " coef_visit_tour_departure_shift_effects\n", - " -0.109515\n", + " 0.136717\n", " F\n", " \n", " \n", " 8\n", " coef_visit_tour_duration_shift_effects\n", - " -0.123814\n", + " 0.172436\n", " F\n", " \n", " \n", " 9\n", " coef_eat_out_tour_departure_shift_effects\n", - " -0.024649\n", + " 0.056578\n", " F\n", " \n", " \n", " 10\n", " coef_school_child_age_16_plus_departure_shift_...\n", - " 0.072660\n", + " 0.106395\n", " F\n", " \n", " \n", " 11\n", " coef_school_child_age_16_plus_duration_shift_e...\n", - " 0.209500\n", + " 0.315781\n", " F\n", " \n", " \n", " 12\n", " coef_school_child_age_under_16_departure_shift...\n", - " 0.239007\n", + " 0.015473\n", " F\n", " \n", " \n", " 13\n", " coef_school_child_age_under_16_duration_shift_...\n", - " -0.567863\n", + " 0.327527\n", " F\n", " \n", " \n", " 14\n", " coef_destination_in_cbd_duration_shift_effects\n", - " 0.572330\n", + " 0.130935\n", " F\n", " \n", " \n", " 15\n", " coef_number_of_mandatory_tours_departure_shift...\n", - " 0.076326\n", + " -0.009788\n", " F\n", " \n", " \n", " 16\n", " coef_number_of_joint_tours_departure_shift_eff...\n", - " 1.356173\n", + " 0.128742\n", " F\n", " \n", " \n", " 17\n", " coef_first_of_2_plus_tours_for_same_purpose_de...\n", - " -1.329351\n", + " -0.506782\n", " F\n", " \n", " \n", " 18\n", " coef_subsequent_of_2_plus_tours_for_same_purpo...\n", - " 0.191264\n", + " 0.062417\n", " F\n", " \n", " \n", " 19\n", " coef_maintenance_tour_depart_before_7\n", - " 1.154584\n", + " -0.523693\n", " F\n", " \n", " \n", " 20\n", " coef_shopping_tour_depart_before_8\n", - " 1.458488\n", + " -1.484109\n", " F\n", " \n", " \n", " 21\n", " coef_shopping_tour_arrive_after_22\n", - " -7.221041\n", + " -0.033268\n", " F\n", " \n", " \n", " 22\n", " coef_school_child_under_16_arrive_after_22\n", - " -6.147237\n", + " -5.038827\n", " F\n", " \n", " \n", " 23\n", " coef_university_student_arrive_after_22\n", - " -9.181095\n", + " 0.360948\n", " F\n", " \n", " \n", " 24\n", " coef_shopping_tour_duration_lt_2_hours\n", - " 0.189427\n", + " 0.699700\n", " F\n", " \n", " \n", " 25\n", " coef_discretionary_tour_duration_lt_2_hours\n", - " -1.022488\n", + " -0.772425\n", " F\n", " \n", " \n", " 26\n", " coef_adult_with_children_in_hh_arrive_19_21\n", - " -0.002541\n", + " -0.078997\n", " F\n", " \n", " \n", " 27\n", " coef_some_previously_scheduled_tour_ends_in_th...\n", - " 0.282029\n", + " -0.288048\n", " F\n", " \n", " \n", " 28\n", " coef_some_previously_scheduled_tour_begins_in_...\n", - " 0.411979\n", + " -0.017681\n", " F\n", " \n", " \n", " 29\n", " coef_adjacent_window_exists_before_this_depart...\n", - " -13.495922\n", + " 0.008839\n", " F\n", " \n", " \n", " 30\n", " coef_adjacent_window_exists_after_this_arrival...\n", - " -13.526580\n", + " 0.800851\n", " F\n", " \n", " \n", " 31\n", " coef_adjacent_window_exists_before_this_depart...\n", - " -7.716247\n", + " -0.549692\n", " F\n", " \n", " \n", " 32\n", " coef_adjacent_window_exists_after_this_arrival...\n", - " -14.169341\n", + " 0.494438\n", " F\n", " \n", " \n", " 33\n", " coef_departure_constants_early\n", - " -24.418086\n", + " -17.865880\n", " F\n", " \n", " \n", " 34\n", " coef_departure_constants_am_peak_1\n", - " -25.000000\n", + " -13.990759\n", " F\n", " \n", " \n", " 35\n", " coef_departure_constants_am_peak_2\n", - " -4.236849\n", + " -10.163788\n", " F\n", " \n", " \n", " 36\n", " coef_departure_constants_am_peak_3\n", - " 0.806223\n", + " -2.799430\n", " F\n", " \n", " \n", " 37\n", " coef_departure_constants_am_peak_4\n", - " 1.408142\n", + " 0.514393\n", " F\n", " \n", " \n", @@ -4577,37 +4701,37 @@ " \n", " 39\n", " coef_departure_constants_midday_2\n", - " -4.501238\n", + " -1.886316\n", " F\n", " \n", " \n", " 40\n", " coef_departure_constants_pm_peak\n", - " -12.638403\n", + " -18.238556\n", " F\n", " \n", " \n", " 41\n", " coef_departure_constants_evening\n", - " -14.557517\n", + " -19.574287\n", " F\n", " \n", " \n", " 42\n", " coef_departure_constants_late\n", - " -20.421814\n", + " -21.444922\n", " F\n", " \n", " \n", " 43\n", " coef_arrival_constants_early\n", - " 24.793142\n", + " -6.758955\n", " F\n", " \n", " \n", " 44\n", " coef_arrival_constants_am_peak\n", - " 4.647673\n", + " -8.413713\n", " F\n", " \n", " \n", @@ -4619,19 +4743,19 @@ " \n", " 46\n", " coef_arrival_constants_midday_2\n", - " 2.692519\n", + " 1.416723\n", " F\n", " \n", " \n", " 47\n", " coef_arrival_constants_pm_peak_1\n", - " 1.849237\n", + " 0.964024\n", " F\n", " \n", " \n", " 48\n", " coef_arrival_constants_pm_peak_2\n", - " 1.518410\n", + " 1.200835\n", " F\n", " \n", " \n", @@ -4643,25 +4767,25 @@ " \n", " 50\n", " coef_arrival_constants_pm_peak_4\n", - " -1.182768\n", + " -0.725959\n", " F\n", " \n", " \n", " 51\n", " coef_arrival_constants_evening\n", - " -4.291783\n", + " -2.675953\n", " F\n", " \n", " \n", " 52\n", " coef_arrival_constants_late\n", - " -9.617038\n", + " -4.194942\n", " F\n", " \n", " \n", " 53\n", " coef_duration_constants_0_to_1_hours\n", - " -2.750481\n", + " -2.021348\n", " F\n", " \n", " \n", @@ -4673,31 +4797,31 @@ " \n", " 55\n", " coef_duration_constants_4_to_5_hours\n", - " 0.301145\n", + " -0.519561\n", " F\n", " \n", " \n", " 56\n", " coef_duration_constants_6_to_7_hours\n", - " 0.144072\n", + " -0.868309\n", " F\n", " \n", " \n", " 57\n", " coef_duration_constants_8_to_10_hours\n", - " -10.570858\n", + " -1.020095\n", " F\n", " \n", " \n", " 58\n", " coef_duration_constants_11_to_13_hours\n", - " -6.162737\n", + " -1.608105\n", " F\n", " \n", " \n", " 59\n", " coef_duration_constants_14_to_18_hours\n", - " -2.800706\n", + " -3.067613\n", " F\n", " \n", " \n", @@ -4708,67 +4832,67 @@ " coefficient_name value constrain\n", "0 coef_dummy 1.000000 T\n", "1 coef_unavailable -999.000000 T\n", - "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.017752 F\n", - "3 coef_shopping_tour_departure_shift_effects -0.045633 F\n", - "4 coef_shopping_tour_duration_shift_effects -0.359705 F\n", - "5 coef_maintenance_tour_departure_shift_effects -0.159210 F\n", - "6 coef_maintenance_tour_duration_shift_effects -0.146459 F\n", - "7 coef_visit_tour_departure_shift_effects -0.109515 F\n", - "8 coef_visit_tour_duration_shift_effects -0.123814 F\n", - "9 coef_eat_out_tour_departure_shift_effects -0.024649 F\n", - "10 coef_school_child_age_16_plus_departure_shift_... 0.072660 F\n", - "11 coef_school_child_age_16_plus_duration_shift_e... 0.209500 F\n", - "12 coef_school_child_age_under_16_departure_shift... 0.239007 F\n", - "13 coef_school_child_age_under_16_duration_shift_... -0.567863 F\n", - "14 coef_destination_in_cbd_duration_shift_effects 0.572330 F\n", - "15 coef_number_of_mandatory_tours_departure_shift... 0.076326 F\n", - "16 coef_number_of_joint_tours_departure_shift_eff... 1.356173 F\n", - "17 coef_first_of_2_plus_tours_for_same_purpose_de... -1.329351 F\n", - "18 coef_subsequent_of_2_plus_tours_for_same_purpo... 0.191264 F\n", - "19 coef_maintenance_tour_depart_before_7 1.154584 F\n", - "20 coef_shopping_tour_depart_before_8 1.458488 F\n", - "21 coef_shopping_tour_arrive_after_22 -7.221041 F\n", - "22 coef_school_child_under_16_arrive_after_22 -6.147237 F\n", - "23 coef_university_student_arrive_after_22 -9.181095 F\n", - "24 coef_shopping_tour_duration_lt_2_hours 0.189427 F\n", - "25 coef_discretionary_tour_duration_lt_2_hours -1.022488 F\n", - "26 coef_adult_with_children_in_hh_arrive_19_21 -0.002541 F\n", - "27 coef_some_previously_scheduled_tour_ends_in_th... 0.282029 F\n", - "28 coef_some_previously_scheduled_tour_begins_in_... 0.411979 F\n", - "29 coef_adjacent_window_exists_before_this_depart... -13.495922 F\n", - "30 coef_adjacent_window_exists_after_this_arrival... -13.526580 F\n", - "31 coef_adjacent_window_exists_before_this_depart... -7.716247 F\n", - "32 coef_adjacent_window_exists_after_this_arrival... -14.169341 F\n", - "33 coef_departure_constants_early -24.418086 F\n", - "34 coef_departure_constants_am_peak_1 -25.000000 F\n", - "35 coef_departure_constants_am_peak_2 -4.236849 F\n", - "36 coef_departure_constants_am_peak_3 0.806223 F\n", - "37 coef_departure_constants_am_peak_4 1.408142 F\n", + "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.003622 F\n", + "3 coef_shopping_tour_departure_shift_effects -0.099254 F\n", + "4 coef_shopping_tour_duration_shift_effects -0.101207 F\n", + "5 coef_maintenance_tour_departure_shift_effects -0.135634 F\n", + "6 coef_maintenance_tour_duration_shift_effects -0.038428 F\n", + "7 coef_visit_tour_departure_shift_effects 0.136717 F\n", + "8 coef_visit_tour_duration_shift_effects 0.172436 F\n", + "9 coef_eat_out_tour_departure_shift_effects 0.056578 F\n", + "10 coef_school_child_age_16_plus_departure_shift_... 0.106395 F\n", + "11 coef_school_child_age_16_plus_duration_shift_e... 0.315781 F\n", + "12 coef_school_child_age_under_16_departure_shift... 0.015473 F\n", + "13 coef_school_child_age_under_16_duration_shift_... 0.327527 F\n", + "14 coef_destination_in_cbd_duration_shift_effects 0.130935 F\n", + "15 coef_number_of_mandatory_tours_departure_shift... -0.009788 F\n", + "16 coef_number_of_joint_tours_departure_shift_eff... 0.128742 F\n", + "17 coef_first_of_2_plus_tours_for_same_purpose_de... -0.506782 F\n", + "18 coef_subsequent_of_2_plus_tours_for_same_purpo... 0.062417 F\n", + "19 coef_maintenance_tour_depart_before_7 -0.523693 F\n", + "20 coef_shopping_tour_depart_before_8 -1.484109 F\n", + "21 coef_shopping_tour_arrive_after_22 -0.033268 F\n", + "22 coef_school_child_under_16_arrive_after_22 -5.038827 F\n", + "23 coef_university_student_arrive_after_22 0.360948 F\n", + "24 coef_shopping_tour_duration_lt_2_hours 0.699700 F\n", + "25 coef_discretionary_tour_duration_lt_2_hours -0.772425 F\n", + "26 coef_adult_with_children_in_hh_arrive_19_21 -0.078997 F\n", + "27 coef_some_previously_scheduled_tour_ends_in_th... -0.288048 F\n", + "28 coef_some_previously_scheduled_tour_begins_in_... -0.017681 F\n", + "29 coef_adjacent_window_exists_before_this_depart... 0.008839 F\n", + "30 coef_adjacent_window_exists_after_this_arrival... 0.800851 F\n", + "31 coef_adjacent_window_exists_before_this_depart... -0.549692 F\n", + "32 coef_adjacent_window_exists_after_this_arrival... 0.494438 F\n", + "33 coef_departure_constants_early -17.865880 F\n", + "34 coef_departure_constants_am_peak_1 -13.990759 F\n", + "35 coef_departure_constants_am_peak_2 -10.163788 F\n", + "36 coef_departure_constants_am_peak_3 -2.799430 F\n", + "37 coef_departure_constants_am_peak_4 0.514393 F\n", "38 coef_departure_constants_midday_1 0.000000 T\n", - "39 coef_departure_constants_midday_2 -4.501238 F\n", - "40 coef_departure_constants_pm_peak -12.638403 F\n", - "41 coef_departure_constants_evening -14.557517 F\n", - "42 coef_departure_constants_late -20.421814 F\n", - "43 coef_arrival_constants_early 24.793142 F\n", - "44 coef_arrival_constants_am_peak 4.647673 F\n", + "39 coef_departure_constants_midday_2 -1.886316 F\n", + "40 coef_departure_constants_pm_peak -18.238556 F\n", + "41 coef_departure_constants_evening -19.574287 F\n", + "42 coef_departure_constants_late -21.444922 F\n", + "43 coef_arrival_constants_early -6.758955 F\n", + "44 coef_arrival_constants_am_peak -8.413713 F\n", "45 coef_arrival_constants_midday_1 0.000000 T\n", - "46 coef_arrival_constants_midday_2 2.692519 F\n", - "47 coef_arrival_constants_pm_peak_1 1.849237 F\n", - "48 coef_arrival_constants_pm_peak_2 1.518410 F\n", + "46 coef_arrival_constants_midday_2 1.416723 F\n", + "47 coef_arrival_constants_pm_peak_1 0.964024 F\n", + "48 coef_arrival_constants_pm_peak_2 1.200835 F\n", "49 coef_arrival_constants_pm_peak_3 0.000000 T\n", - "50 coef_arrival_constants_pm_peak_4 -1.182768 F\n", - "51 coef_arrival_constants_evening -4.291783 F\n", - "52 coef_arrival_constants_late -9.617038 F\n", - "53 coef_duration_constants_0_to_1_hours -2.750481 F\n", + "50 coef_arrival_constants_pm_peak_4 -0.725959 F\n", + "51 coef_arrival_constants_evening -2.675953 F\n", + "52 coef_arrival_constants_late -4.194942 F\n", + "53 coef_duration_constants_0_to_1_hours -2.021348 F\n", "54 coef_duration_constants_2_to_3_hours 0.000000 T\n", - "55 coef_duration_constants_4_to_5_hours 0.301145 F\n", - "56 coef_duration_constants_6_to_7_hours 0.144072 F\n", - "57 coef_duration_constants_8_to_10_hours -10.570858 F\n", - "58 coef_duration_constants_11_to_13_hours -6.162737 F\n", - "59 coef_duration_constants_14_to_18_hours -2.800706 F" + "55 coef_duration_constants_4_to_5_hours -0.519561 F\n", + "56 coef_duration_constants_6_to_7_hours -0.868309 F\n", + "57 coef_duration_constants_8_to_10_hours -1.020095 F\n", + "58 coef_duration_constants_11_to_13_hours -1.608105 F\n", + "59 coef_duration_constants_14_to_18_hours -3.067613 F" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -4785,7 +4909,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4799,7 +4923,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/15_non_mand_tour_freq.ipynb b/activitysim/examples/example_estimation/notebooks/15_non_mand_tour_freq.ipynb index 81092083f..933656370 100644 --- a/activitysim/examples/example_estimation/notebooks/15_non_mand_tour_freq.ipynb +++ b/activitysim/examples/example_estimation/notebooks/15_non_mand_tour_freq.ipynb @@ -35,10 +35,22 @@ "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, { "data": { "text/plain": [ - "'1.1.0'" + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" ] }, "execution_count": 1, @@ -47,27 +59,49 @@ } ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", + "import larch as lx\n", "import pandas as pd\n", - "import activitysim\n", - "activitysim.__version__" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -81,12 +115,67 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading EDB for PTYPE_FULL segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_FULL/non_mandatory_tour_frequency_coefficients_PTYPE_FULL.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_FULL/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_FULL/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_PART segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PART/non_mandatory_tour_frequency_coefficients_PTYPE_PART.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PART/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PART/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_UNIVERSITY segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_UNIVERSITY/non_mandatory_tour_frequency_coefficients_PTYPE_UNIVERSITY.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_UNIVERSITY/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_UNIVERSITY/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_NONWORK segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_NONWORK/non_mandatory_tour_frequency_coefficients_PTYPE_NONWORK.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_NONWORK/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_NONWORK/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_RETIRED segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_RETIRED/non_mandatory_tour_frequency_coefficients_PTYPE_RETIRED.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_RETIRED/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_RETIRED/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_DRIVING segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_DRIVING/non_mandatory_tour_frequency_coefficients_PTYPE_DRIVING.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_DRIVING/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_DRIVING/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_SCHOOL segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_SCHOOL/non_mandatory_tour_frequency_coefficients_PTYPE_SCHOOL.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_SCHOOL/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_SCHOOL/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "Loading EDB for PTYPE_PRESCHOOL segment\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PRESCHOOL/non_mandatory_tour_frequency_coefficients_PTYPE_PRESCHOOL.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PRESCHOOL/non_mandatory_tour_frequency_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_PRESCHOOL/non_mandatory_tour_frequency_interaction_expression_values.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_FULL/non_mandatory_tour_frequency_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/PTYPE_FULL/non_mandatory_tour_frequency_alternatives.csv\n", + "Creating larch model for PTYPE_FULL\n", + "Creating larch model for PTYPE_PART\n", + "Creating larch model for PTYPE_UNIVERSITY\n", + "Creating larch model for PTYPE_NONWORK\n", + "Creating larch model for PTYPE_RETIRED\n", + "Creating larch model for PTYPE_DRIVING\n", + "Creating larch model for PTYPE_SCHOOL\n", + "Creating larch model for PTYPE_PRESCHOOL\n" + ] + } + ], "source": [ "modelname = \"nonmand_tour_freq\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True, condense_parameters=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/non_mandatory_tour_frequency/\",\n", + " return_data=True,\n", + " condense_parameters=True,\n", + ")" ] }, { @@ -383,20 +472,20 @@ " \n", " \n", " 0\n", - " 72241\n", + " 72355\n", " 0\n", " 0\n", - " 72241\n", - " 56\n", - " 1\n", + " 72355\n", + " 52\n", " 1\n", + " 2\n", " 1\n", " 3\n", " 1\n", " ...\n", " False\n", " False\n", - " 0\n", + " 1\n", " 0\n", " 0\n", " 0\n", @@ -407,13 +496,13 @@ " \n", " \n", " 1\n", - " 72441\n", + " 72384\n", " 0\n", " 0\n", - " 72441\n", - " 49\n", - " 1\n", + " 72384\n", + " 28\n", " 1\n", + " 2\n", " 1\n", " 3\n", " 1\n", @@ -431,11 +520,11 @@ " \n", " \n", " 2\n", - " 73144\n", - " 0\n", + " 72407\n", + " 1\n", " 0\n", - " 73144\n", - " 31\n", + " 72407\n", + " 52\n", " 1\n", " 2\n", " 1\n", @@ -443,8 +532,8 @@ " 1\n", " ...\n", " False\n", - " True\n", - " -1\n", + " False\n", + " 0\n", " 0\n", " 0\n", " 0\n", @@ -455,20 +544,20 @@ " \n", " \n", " 3\n", - " 73493\n", + " 72459\n", " 0\n", " 0\n", - " 73493\n", - " 31\n", + " 72459\n", + " 38\n", + " 1\n", " 1\n", - " 2\n", " 1\n", " 3\n", " 1\n", " ...\n", " False\n", - " False\n", - " 0\n", + " True\n", + " -1\n", " 0\n", " 0\n", " 0\n", @@ -479,11 +568,11 @@ " \n", " \n", " 4\n", - " 73706\n", - " 0\n", - " 0\n", - " 73706\n", - " 26\n", + " 72569\n", + " 1\n", + " 20\n", + " 72569\n", + " 49\n", " 1\n", " 1\n", " 1\n", @@ -491,14 +580,14 @@ " 1\n", " ...\n", " False\n", - " False\n", + " True\n", + " -1\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 1\n", " 0\n", " \n", " \n", @@ -526,14 +615,14 @@ " ...\n", " \n", " \n", - " 1759\n", - " 7512288\n", - " 5\n", - " 5\n", - " 2820953\n", - " 28\n", - " 1\n", + " 19354\n", + " 7538573\n", + " 0\n", + " 0\n", + " 2847238\n", + " 67\n", " 1\n", + " 2\n", " 1\n", " 3\n", " 1\n", @@ -546,18 +635,18 @@ " 0\n", " 0\n", " 0\n", - " 0\n", + " 1\n", " 0\n", " \n", " \n", - " 1760\n", - " 7512469\n", + " 19355\n", + " 7538990\n", " 1\n", + " 19\n", + " 2847655\n", + " 72\n", " 1\n", - " 2821134\n", - " 34\n", " 1\n", - " 2\n", " 1\n", " 3\n", " 1\n", @@ -570,16 +659,16 @@ " 0\n", " 0\n", " 0\n", - " 1\n", + " 0\n", " 0\n", " \n", " \n", - " 1761\n", - " 7513117\n", + " 19356\n", + " 7539071\n", " 0\n", " 0\n", - " 2821782\n", - " 16\n", + " 2847736\n", + " 70\n", " 1\n", " 1\n", " 1\n", @@ -587,8 +676,8 @@ " 1\n", " ...\n", " False\n", - " True\n", - " -1\n", + " False\n", + " 1\n", " 0\n", " 0\n", " 0\n", @@ -598,12 +687,12 @@ " 0\n", " \n", " \n", - " 1762\n", - " 7513996\n", + " 19357\n", + " 7539203\n", " 0\n", " 0\n", - " 2822661\n", - " 24\n", + " 2847868\n", + " 87\n", " 1\n", " 1\n", " 1\n", @@ -622,21 +711,21 @@ " 0\n", " \n", " \n", - " 1763\n", - " 7514404\n", + " 19358\n", + " 7539317\n", " 0\n", " 0\n", - " 2823069\n", - " 30\n", + " 2847982\n", + " 70\n", + " 1\n", " 1\n", - " 2\n", " 1\n", " 3\n", " 1\n", " ...\n", " False\n", - " True\n", - " -1\n", + " False\n", + " 0\n", " 0\n", " 0\n", " 0\n", @@ -647,76 +736,76 @@ " \n", " \n", "\n", - "

1764 rows × 142 columns

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+       "  * person_id                                                                    (person_id) int64 155kB ...\n",
+       "  * alt_id                                                                       (alt_id) int64 768B ...\n",
+       "Data variables: (12/353)\n",
+       "    index                                                                        (person_id, alt_id) int64 15MB ...\n",
+       "    util_escorting_tour                                                          (person_id, alt_id) int64 15MB ...\n",
+       "    util_discretionary_tour                                                      (person_id, alt_id) int64 15MB ...\n",
+       "    util_shopping_tour                                                           (person_id, alt_id) int64 15MB ...\n",
+       "    util_maintenance_tour                                                        (person_id, alt_id) int64 15MB ...\n",
+       "    util_visiting_or_social_tour                                                 (person_id, alt_id) int64 15MB ...\n",
+       "    ...                                                                           ...\n",
+       "    num_hh_joint_eatout_tours                                                    (person_id) int8 19kB ...\n",
+       "    num_hh_joint_maint_tours                                                     (person_id) int8 19kB ...\n",
+       "    num_hh_joint_social_tours                                                    (person_id) int8 19kB ...\n",
+       "    num_hh_joint_othdiscr_tours                                                  (person_id) int8 19kB ...\n",
+       "    has_mandatory_tour                                                           (person_id) int64 155kB ...\n",
+       "    has_joint_tour                                                               (person_id) int64 155kB ...\n",
+       "Attributes:\n",
+       "    _caseid_:  person_id\n",
+       "    _altid_:   alt_id
" + ], + "text/plain": [ + " Size: 2GB\n", + "Dimensions: (\n", + " person_id: 19359,\n", + " alt_id: 96)\n", + "Coordinates:\n", + " * person_id (person_id) int64 155kB ...\n", + " * alt_id (alt_id) int64 768B ...\n", + "Data variables: (12/353)\n", + " index (person_id, alt_id) int64 15MB ...\n", + " util_escorting_tour (person_id, alt_id) int64 15MB ...\n", + " util_discretionary_tour (person_id, alt_id) int64 15MB ...\n", + " util_shopping_tour (person_id, alt_id) int64 15MB ...\n", + " util_maintenance_tour (person_id, alt_id) int64 15MB ...\n", + " util_visiting_or_social_tour (person_id, alt_id) int64 15MB ...\n", + " ... ...\n", + " num_hh_joint_eatout_tours (person_id) int8 19kB ...\n", + " num_hh_joint_maint_tours (person_id) int8 19kB ...\n", + " num_hh_joint_social_tours (person_id) int8 19kB ...\n", + " num_hh_joint_othdiscr_tours (person_id) int8 19kB ...\n", + " has_mandatory_tour (person_id) int64 155kB ...\n", + " has_joint_tour (person_id) int64 155kB ...\n", + "Attributes:\n", + " _caseid_: person_id\n", + " _altid_: alt_id" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model['PTYPE_FULL'].datatree.root_dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -768,27 +2747,29 @@ "source": [ "For future estimation work, parameters can be intelligently named and applied to match the model developer's desired structure (by using the same named parameter for multiple rows of the spec file). If this is done, the \"short cut\" should be disabled by setting `condense_parameters=False` in the loading step above.\n", "\n", - "Larch has a built-in estimation methods including BHHH, and also offers access to more advanced general purpose non-linear optimizers in the `scipy` package, including SLSQP, which allows for bounds and constraints on parameters. BHHH is the default and typically runs faster, but does not follow constraints on parameters." + "Larch has a built-in estimation methods including BHHH, and also offers access to more advanced general purpose non-linear optimizers in the `scipy` package, including SLSQP, which allows for bounds and constraints on parameters. BHHH is the default and typically runs faster, but does not follow constraints on parameters.\n", + "\n", + "For this model, we will sequentially estimate the models by person type and then save and clear the results, to avoid running out of memory, as the models are large and use a lot of resources. " ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": { "scrolled": false }, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "Model PTYPE_FULL\n" ] }, { "data": { "text/html": [ - "

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" ], "text/plain": [ "" @@ -800,7 +2781,7 @@ { "data": { "text/html": [ - "

Best LL = -1831.0744991680774

" + "

Best LL = -19916.199393036724

" ], "text/plain": [ "" @@ -831,70 +2812,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", + " -2.000000\n", " -2.0000\n", - " 0.0\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " 0.319037\n", + " -0.065728\n", + " -0.065728\n", " 0.0298\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.319037\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -1.012856\n", + " 0.047768\n", + " 0.047768\n", " 0.0097\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.012856\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -2.842643\n", + " 0.079776\n", + " 0.079776\n", " 0.1202\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.842643\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " 10.543979\n", + " 0.733799\n", + " 0.733799\n", " 0.7412\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 10.543979\n", " \n", " \n", " ...\n", @@ -905,122 +2890,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_walk_access_to_retail_and_discretionary\n", - " 0.160520\n", + " 0.060958\n", + " 0.060958\n", " 0.0567\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.160520\n", " \n", " \n", " coef_walk_access_to_retail_and_eating_out\n", - " 0.211289\n", + " 0.156964\n", + " 0.156964\n", " 0.1450\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.211289\n", " \n", " \n", " coef_walk_access_to_retail_and_escorting\n", - " -0.105285\n", + " 0.066031\n", + " 0.066031\n", " 0.0451\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.105285\n", " \n", " \n", " coef_walk_access_to_retail_and_shopping\n", - " 0.030182\n", + " 0.031695\n", + " 0.031695\n", " 0.0330\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.030182\n", " \n", " \n", " coef_zero_car_ownership_and_tour_frequency_is_5_plus\n", - " -0.227492\n", + " -0.239893\n", + " -0.239893\n", " -0.3486\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.227492\n", " \n", " \n", "\n", - "

72 rows × 8 columns

\n", + "

72 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant 0.319037 0.0298 \n", - "coef_1_plus_eating_out_tours_constant -1.012856 0.0097 \n", - "coef_1_plus_maintenance_tours_constant -2.842643 0.1202 \n", - "coef_1_plus_other_discretionary_tours_constant 10.543979 0.7412 \n", - "... ... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.160520 0.0567 \n", - "coef_walk_access_to_retail_and_eating_out 0.211289 0.1450 \n", - "coef_walk_access_to_retail_and_escorting -0.105285 0.0451 \n", - "coef_walk_access_to_retail_and_shopping 0.030182 0.0330 \n", - "coef_zero_car_ownership_and_tour_frequency_is_5... -0.227492 -0.3486 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant -0.065728 -0.065728 \n", + "coef_1_plus_eating_out_tours_constant 0.047768 0.047768 \n", + "coef_1_plus_maintenance_tours_constant 0.079776 0.079776 \n", + "coef_1_plus_other_discretionary_tours_constant 0.733799 0.733799 \n", + "... ... ... \n", + "coef_walk_access_to_retail_and_discretionary 0.060958 0.060958 \n", + "coef_walk_access_to_retail_and_eating_out 0.156964 0.156964 \n", + "coef_walk_access_to_retail_and_escorting 0.066031 0.066031 \n", + "coef_walk_access_to_retail_and_shopping 0.031695 0.031695 \n", + "coef_zero_car_ownership_and_tour_frequency_is_5... -0.239893 -0.239893 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0000 -2.0 \n", + "coef_1_escort_tour_constant 0.0298 -20.0 \n", + "coef_1_plus_eating_out_tours_constant 0.0097 -20.0 \n", + "coef_1_plus_maintenance_tours_constant 0.1202 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 0.7412 -20.0 \n", "... ... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.0 NaN \n", - "coef_walk_access_to_retail_and_eating_out 0.0 NaN \n", - "coef_walk_access_to_retail_and_escorting 0.0 NaN \n", - "coef_walk_access_to_retail_and_shopping 0.0 NaN \n", - "coef_zero_car_ownership_and_tour_frequency_is_5... 0.0 NaN \n", + "coef_walk_access_to_retail_and_discretionary 0.0567 -20.0 \n", + "coef_walk_access_to_retail_and_eating_out 0.1450 -20.0 \n", + "coef_walk_access_to_retail_and_escorting 0.0451 -20.0 \n", + "coef_walk_access_to_retail_and_shopping 0.0330 -20.0 \n", + "coef_zero_car_ownership_and_tour_frequency_is_5... -0.3486 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "... ... ... ... \n", - "coef_walk_access_to_retail_and_discretionary NaN 0 \n", - "coef_walk_access_to_retail_and_eating_out NaN 0 \n", - "coef_walk_access_to_retail_and_escorting NaN 0 \n", - "coef_walk_access_to_retail_and_shopping NaN 0 \n", - "coef_zero_car_ownership_and_tour_frequency_is_5... NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "... ... ... \n", + "coef_walk_access_to_retail_and_discretionary 20.0 0.0 \n", + "coef_walk_access_to_retail_and_eating_out 20.0 0.0 \n", + "coef_walk_access_to_retail_and_escorting 20.0 0.0 \n", + "coef_walk_access_to_retail_and_shopping 20.0 0.0 \n", + "coef_zero_car_ownership_and_tour_frequency_is_5... 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant 0.319037 \n", - "coef_1_plus_eating_out_tours_constant -1.012856 \n", - "coef_1_plus_maintenance_tours_constant -2.842643 \n", - "coef_1_plus_other_discretionary_tours_constant 10.543979 \n", - "... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.160520 \n", - "coef_walk_access_to_retail_and_eating_out 0.211289 \n", - "coef_walk_access_to_retail_and_escorting -0.105285 \n", - "coef_walk_access_to_retail_and_shopping 0.030182 \n", - "coef_zero_car_ownership_and_tour_frequency_is_5... -0.227492 \n", + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "... ... \n", + "coef_walk_access_to_retail_and_discretionary 0 \n", + "coef_walk_access_to_retail_and_eating_out 0 \n", + "coef_walk_access_to_retail_and_escorting 0 \n", + "coef_walk_access_to_retail_and_shopping 0 \n", + "coef_zero_car_ownership_and_tour_frequency_is_5... 0 \n", "\n", - "[72 rows x 8 columns]" + "[72 rows x 7 columns]" ] }, "metadata": {}, @@ -1030,24 +3013,717 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 5.456681257677148e-07 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 3 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_2_plus_escort_tours_constant\n", - "- coef_urban_and_escorting_tour\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { "data": { "text/html": [ - "

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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant-0.0657 49.6-0.00 0.00
coef_1_plus_eating_out_tours_constant 0.0478 49.6 0.00 0.00
coef_1_plus_maintenance_tours_constant 0.0798 49.6 0.00 0.00
coef_1_plus_other_discretionary_tours_constant 0.734 49.6 0.01 0.00
coef_1_plus_shopping_tours_constant 0.360 49.6 0.01 0.00
coef_1_plus_visting_tours_constant-0.0190 49.6-0.00 0.00
coef_2_plus_escort_tours_constant 0.688 99.2 0.01 0.00
coef_at_home_pre_driving_school_kid_and_escorting_tour-0.471 0.160-2.94** 0.00
coef_at_home_pre_school_kid_and_discretionary_tour-0.223 0.186-1.20 0.00
coef_at_home_pre_school_kid_and_escorting_tour-1.53 0.227-6.75*** 0.00
coef_auto_access_to_retail_and_discretionary 0.0857 0.0630 1.36 0.00
coef_auto_access_to_retail_and_maintenance 0.0843 0.0587 1.44 0.00
coef_auto_access_to_retail_and_shopping 0.103 0.0604 1.71 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus 0.120 0.0470 2.55* 0.00
coef_female_and_escorting_tour 0.177 0.0645 2.74** 0.00
coef_female_and_tour_frequency_is_1-0.0844 0.0430-1.96* 0.00
coef_female_and_tour_frequency_is_2-0.0975 0.0857-1.14 0.00
coef_female_and_tour_frequency_is_5-0.446 0.180-2.47* 0.00
coef_high_income_group_and_discretionary_tour 0.213 0.0780 2.74** 0.00
coef_high_income_group_and_eating_out_tour 0.384 0.0963 3.99*** 0.00
coef_high_income_group_and_tour_frequency_is_1 0.355 0.114 3.12** 0.00
coef_high_income_group_and_tour_frequency_is_2 0.990 0.240 4.12*** 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 1.29 0.555 2.32* 0.00
coef_high_income_group_and_visiting_tour-0.228 0.122-1.87 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 1.28 0.0731 17.53*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_2 1.45 0.0918 15.83*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 1.43 0.142 10.06*** 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_1 0.376 0.110 3.42*** 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_2 0.794 0.235 3.38*** 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_5_plus 1.03 0.548 1.88 0.00
coef_number_of_joint_eating_out_tours-0.618 0.529-1.17 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_2-1.07 0.158-6.75*** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus-2.50 0.307-8.15*** 0.00
coef_presence_of_driving_school_kid_and_discretionary_tour-0.364 0.128-2.84** 0.00
coef_presence_of_driving_school_kid_and_escorting_tour 0.429 0.0738 5.81*** 0.00
coef_presence_of_full_time_worker_and_discretionary_tour-0.601 0.0679-8.86*** 0.00
coef_presence_of_full_time_worker_and_eating_out_tour-0.280 0.0777-3.60*** 0.00
coef_presence_of_full_time_worker_and_maintenance_tour-0.264 0.0767-3.45*** 0.00
coef_presence_of_full_time_worker_and_shopping_tour-0.175 0.0618-2.83** 0.00
coef_presence_of_non_worker_and_discretionary_tour-0.484 0.0844-5.73*** 0.00
coef_presence_of_non_worker_and_eating_out_tour-0.172 0.0913-1.88 0.00
coef_presence_of_non_worker_and_escorting_tour-0.476 0.0747-6.37*** 0.00
coef_presence_of_non_worker_and_maintenance_tour-0.279 0.0939-2.97** 0.00
coef_presence_of_non_worker_and_shopping_tour-0.419 0.0783-5.35*** 0.00
coef_presence_of_part_time_worker_and_discretionary_tour-0.252 0.0806-3.13** 0.00
coef_presence_of_part_time_worker_and_maintenance_tour-0.0951 0.0856-1.11 0.00
coef_presence_of_part_time_worker_and_shopping_tour-0.150 0.0686-2.19* 0.00
coef_presence_of_pre_driving_school_kid_and_discretionary_tour-0.401 0.0837-4.79*** 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 1.38 0.0611 22.52*** 0.00
coef_presence_of_pre_school_kid_and_discretionary_tour-0.509 0.100-5.09*** 0.00
coef_presence_of_pre_school_kid_and_eating_out_tour-0.481 0.108-4.44*** 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 0.654 0.0634 10.32*** 0.00
coef_presence_of_pre_school_kid_and_shopping_tour-0.0802 0.0795-1.01 0.00
coef_presence_of_retiree_and_discretionary_tour-1.05 0.154-6.82*** 0.00
coef_presence_of_retiree_and_eating_out_tour-0.430 0.147-2.92** 0.00
coef_presence_of_retiree_and_escorting_tour-0.694 0.143-4.86*** 0.00
coef_presence_of_university_student_and_discretionary_tour-0.532 0.114-4.67*** 0.00
coef_total_number_of_tours_is_1-7.26 49.6-0.15 0.00
coef_total_number_of_tours_is_2-10.7 99.2-0.11 0.00
coef_total_number_of_tours_is_3-13.4 149.-0.09 0.00
coef_total_number_of_tours_is_4-16.5 198.-0.08 0.00
coef_total_number_of_tours_is_5-19.7 248.-0.08 0.00
coef_total_number_of_tours_is_6_plus-999. 0.00 NA 0.00fixed value
coef_transit_access_to_retail_and_tour_frequency_is_5_plus 0.0132 0.0114 1.15 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_urban_and_escorting_tour-0.486 0.0782-6.21*** 0.00
coef_walk_access_to_retail_and_discretionary 0.0610 0.0251 2.42* 0.00
coef_walk_access_to_retail_and_eating_out 0.157 0.0243 6.47*** 0.00
coef_walk_access_to_retail_and_escorting 0.0660 0.0200 3.30*** 0.00
coef_walk_access_to_retail_and_shopping 0.0317 0.0241 1.31 0.00
coef_zero_car_ownership_and_tour_frequency_is_5_plus-0.240 0.109-2.19* 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_PART\n" + ] + }, + { + "data": { + "text/html": [ + "

Iteration 060 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1059,7 +3735,7 @@ { "data": { "text/html": [ - "

Best LL = -856.8595081667797

" + "

Best LL = -9327.08229602112

" ], "text/plain": [ "" @@ -1090,793 +3766,755 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", - " -2.0000\n", - " 0.0\n", + " -2.000000\n", + " -2.000000\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " 0.777927\n", - " 0.5272\n", + " 0.430423\n", + " 0.430423\n", + " 0.527200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.777927\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " 1.665075\n", - " 0.6914\n", + " 0.732307\n", + " 0.732307\n", + " 0.691400\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.665075\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " 1.214734\n", - " 0.5533\n", + " 0.480847\n", + " 0.480847\n", + " 0.553300\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.214734\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " 1.783871\n", - " 0.7989\n", + " 0.900550\n", + " 0.900550\n", + " 0.798900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.783871\n", " \n", " \n", " coef_1_plus_shopping_tours_constant\n", - " 1.521613\n", - " 0.7569\n", + " 0.731723\n", + " 0.731723\n", + " 0.756900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.521613\n", " \n", " \n", " coef_1_plus_visting_tours_constant\n", - " 1.045482\n", - " 0.1405\n", + " 0.250360\n", + " 0.250360\n", + " 0.140500\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.045482\n", " \n", " \n", " coef_2_plus_escort_tours_constant\n", - " 1.882661\n", - " 1.5987\n", + " 1.457716\n", + " 1.457716\n", + " 1.598700\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.882661\n", " \n", " \n", " coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus\n", - " 0.049232\n", - " -0.5498\n", + " -0.400969\n", + " -0.400969\n", + " -0.549800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.049232\n", " \n", " \n", " coef_female_and_discretionary_tour\n", - " 0.439252\n", - " 0.3072\n", + " 0.316191\n", + " 0.316191\n", + " 0.307200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.439252\n", " \n", " \n", " coef_female_and_shopping_tour\n", - " 0.753133\n", - " 0.4524\n", + " 0.352178\n", + " 0.352178\n", + " 0.452400\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.753133\n", " \n", " \n", " coef_high_income_group_and_discretionary_tour\n", - " 0.236506\n", - " 0.2960\n", + " 0.245706\n", + " 0.245706\n", + " 0.296000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.236506\n", " \n", " \n", " coef_high_income_group_and_maintenance_tour\n", - " 1.385100\n", - " 0.6763\n", + " 0.828693\n", + " 0.828693\n", + " 0.676300\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.385100\n", " \n", " \n", " coef_high_income_group_and_shopping_tour\n", - " 0.819417\n", - " 0.7066\n", + " 0.846024\n", + " 0.846024\n", + " 0.706600\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.819417\n", " \n", " \n", " coef_high_income_group_and_tour_frequency_is_1\n", - " 1.145715\n", - " 0.8682\n", + " 0.809721\n", + " 0.809721\n", + " 0.868200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.145715\n", " \n", " \n", " coef_high_income_group_and_tour_frequency_is_2\n", - " 1.347519\n", - " 1.5362\n", + " 1.223360\n", + " 1.223360\n", + " 1.536200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.347519\n", " \n", " \n", " coef_high_income_group_and_tour_frequency_is_5_plus\n", - " 1.498903\n", - " 1.9331\n", + " 1.571734\n", + " 1.571734\n", + " 1.933100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.498903\n", " \n", " \n", " coef_high_income_group_and_visiting_tour\n", - " -0.517316\n", - " -0.6868\n", + " -0.714757\n", + " -0.714757\n", + " -0.686800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.517316\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_1\n", - " 0.768519\n", - " 1.5748\n", + " 1.659306\n", + " 1.659306\n", + " 1.574800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.768519\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_5_plus\n", - " 1.243995\n", - " 2.0026\n", + " 1.957087\n", + " 1.957087\n", + " 2.002600\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.243995\n", " \n", " \n", " coef_mediumhigh_income_group_and_shopping_tour\n", - " 0.605047\n", - " 0.4421\n", + " 0.573217\n", + " 0.573217\n", + " 0.442100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.605047\n", " \n", " \n", " coef_mediumlow_income_group_and_tour_frequency_is_1\n", - " 0.784377\n", - " 0.5981\n", + " 0.685180\n", + " 0.685180\n", + " 0.598100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.784377\n", " \n", " \n", " coef_mediumlow_income_group_and_tour_frequency_is_2\n", - " 0.776466\n", - " 0.9178\n", + " 0.592898\n", + " 0.592898\n", + " 0.917800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.776466\n", " \n", " \n", " coef_mediumlow_income_group_and_tour_frequency_is_5_plus\n", - " 0.850898\n", - " 1.7539\n", + " 1.597675\n", + " 1.597675\n", + " 1.753900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.850898\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_4\n", - " -1.347657\n", - " -1.1986\n", + " -0.760824\n", + " -0.760824\n", + " -1.198600\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.347657\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_5_plus\n", " -999.000000\n", - " -999.0000\n", - " 0.0\n", + " -999.000000\n", + " -999.000000\n", " -999.0\n", " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_1\n", - " -0.989069\n", - " -0.2390\n", + " -0.358322\n", + " -0.358322\n", + " -0.239000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.989069\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_2\n", - " -2.829794\n", - " -1.8208\n", + " -1.622848\n", + " -1.622848\n", + " -1.820800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.829794\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus\n", - " -2.785677\n", - " -2.5923\n", + " -2.631492\n", + " -2.631492\n", + " -2.592300\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.785677\n", " \n", " \n", " coef_presence_of_driving_school_kid_and_escorting_tour\n", - " 1.029447\n", - " 0.4164\n", + " 0.367517\n", + " 0.367517\n", + " 0.416400\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.029447\n", " \n", " \n", " coef_presence_of_full_time_worker_and_maintenance_tour\n", - " -0.484999\n", - " -0.3131\n", + " -0.254950\n", + " -0.254950\n", + " -0.313100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.484999\n", " \n", " \n", " coef_presence_of_non_worker_and_discretionary_tour\n", - " -0.556803\n", - " -1.0371\n", + " -0.828046\n", + " -0.828046\n", + " -1.037100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.556803\n", " \n", " \n", " coef_presence_of_non_worker_and_eating_out_tour\n", - " -0.231608\n", - " -0.6545\n", + " -0.660344\n", + " -0.660344\n", + " -0.654500\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.231608\n", " \n", " \n", " coef_presence_of_non_worker_and_escorting_tour\n", - " -0.617113\n", - " -0.5263\n", + " -0.530905\n", + " -0.530905\n", + " -0.526300\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.617113\n", " \n", " \n", " coef_presence_of_part_time_worker_and_maintenance_tour\n", - " -1.034909\n", - " -0.5621\n", + " -0.576071\n", + " -0.576071\n", + " -0.562100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.034909\n", " \n", " \n", " coef_presence_of_pre_driving_school_kid_and_escorting_tour\n", - " 1.808890\n", - " 1.5795\n", + " 1.756066\n", + " 1.756066\n", + " 1.579500\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.808890\n", " \n", " \n", " coef_presence_of_pre_school_kid_and_escorting_tour\n", - " 0.291702\n", - " 0.5414\n", + " 0.549515\n", + " 0.549515\n", + " 0.541400\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.291702\n", " \n", " \n", " coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1\n", - " 0.308611\n", - " -0.1559\n", + " -0.340060\n", + " -0.340060\n", + " -0.155900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.308611\n", " \n", " \n", " coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5\n", - " -0.530685\n", - " -0.5681\n", + " -0.650421\n", + " -0.650421\n", + " -0.568100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.530685\n", " \n", " \n", " coef_presence_of_retiree_and_eating_out_tour\n", - " 0.109209\n", - " -1.3890\n", + " -1.202708\n", + " -1.202708\n", + " -1.389000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.109209\n", " \n", " \n", " coef_presence_of_retiree_and_escorting_tour\n", - " -0.461150\n", - " -0.7516\n", + " -0.801304\n", + " -0.801304\n", + " -0.751600\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.461150\n", " \n", " \n", " coef_presence_of_university_student_and_eating_out_tour\n", - " -1.759323\n", - " -1.4318\n", + " -1.695822\n", + " -1.695822\n", + " -1.431800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.759323\n", " \n", " \n", " coef_total_number_of_tours_is_1\n", - " -6.812615\n", - " -7.6391\n", + " -7.835780\n", + " -7.835780\n", + " -7.639100\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -6.812615\n", " \n", " \n", " coef_total_number_of_tours_is_2\n", - " -9.848060\n", - " -10.4557\n", + " -10.277923\n", + " -10.277923\n", + " -10.455700\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -9.848060\n", " \n", " \n", " coef_total_number_of_tours_is_3\n", - " -12.828277\n", - " -14.0176\n", + " -14.048815\n", + " -14.048815\n", + " -14.017600\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -12.828277\n", " \n", " \n", " coef_total_number_of_tours_is_4\n", - " -17.097027\n", - " -16.9717\n", + " -17.043997\n", + " -17.043997\n", + " -16.971701\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -17.097027\n", " \n", " \n", " coef_urban_and_discretionary_tour\n", " 0.000000\n", - " 0.0000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_urban_and_escorting_tour\n", - " 0.425750\n", - " -0.3929\n", + " -0.503217\n", + " -0.503217\n", + " -0.392900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.425750\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_1\n", - " 0.080140\n", - " 0.0899\n", + " 0.108136\n", + " 0.108136\n", + " 0.089900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.080140\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_2\n", - " 0.103820\n", - " 0.1447\n", + " 0.128901\n", + " 0.128901\n", + " 0.144700\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.103820\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_5_plus\n", - " 0.050631\n", - " 0.3479\n", + " 0.385133\n", + " 0.385133\n", + " 0.347900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.050631\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant 0.777927 0.5272 \n", - "coef_1_plus_eating_out_tours_constant 1.665075 0.6914 \n", - "coef_1_plus_maintenance_tours_constant 1.214734 0.5533 \n", - "coef_1_plus_other_discretionary_tours_constant 1.783871 0.7989 \n", - "coef_1_plus_shopping_tours_constant 1.521613 0.7569 \n", - "coef_1_plus_visting_tours_constant 1.045482 0.1405 \n", - "coef_2_plus_escort_tours_constant 1.882661 1.5987 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... 0.049232 -0.5498 \n", - "coef_female_and_discretionary_tour 0.439252 0.3072 \n", - "coef_female_and_shopping_tour 0.753133 0.4524 \n", - "coef_high_income_group_and_discretionary_tour 0.236506 0.2960 \n", - "coef_high_income_group_and_maintenance_tour 1.385100 0.6763 \n", - "coef_high_income_group_and_shopping_tour 0.819417 0.7066 \n", - "coef_high_income_group_and_tour_frequency_is_1 1.145715 0.8682 \n", - "coef_high_income_group_and_tour_frequency_is_2 1.347519 1.5362 \n", - "coef_high_income_group_and_tour_frequency_is_5_... 1.498903 1.9331 \n", - "coef_high_income_group_and_visiting_tour -0.517316 -0.6868 \n", - "coef_logged_maximum_residual_window_tour_freque... 0.768519 1.5748 \n", - "coef_logged_maximum_residual_window_tour_freque... 1.243995 2.0026 \n", - "coef_mediumhigh_income_group_and_shopping_tour 0.605047 0.4421 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.784377 0.5981 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.776466 0.9178 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.850898 1.7539 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_4 -1.347657 -1.1986 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.0000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -0.989069 -0.2390 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -2.829794 -1.8208 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -2.785677 -2.5923 \n", - "coef_presence_of_driving_school_kid_and_escorti... 1.029447 0.4164 \n", - "coef_presence_of_full_time_worker_and_maintenan... -0.484999 -0.3131 \n", - "coef_presence_of_non_worker_and_discretionary_tour -0.556803 -1.0371 \n", - "coef_presence_of_non_worker_and_eating_out_tour -0.231608 -0.6545 \n", - "coef_presence_of_non_worker_and_escorting_tour -0.617113 -0.5263 \n", - "coef_presence_of_part_time_worker_and_maintenan... -1.034909 -0.5621 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 1.808890 1.5795 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.291702 0.5414 \n", - "coef_presence_of_preschool_kid_in_household_and... 0.308611 -0.1559 \n", - "coef_presence_of_preschool_kid_in_household_and... -0.530685 -0.5681 \n", - "coef_presence_of_retiree_and_eating_out_tour 0.109209 -1.3890 \n", - "coef_presence_of_retiree_and_escorting_tour -0.461150 -0.7516 \n", - "coef_presence_of_university_student_and_eating_... -1.759323 -1.4318 \n", - "coef_total_number_of_tours_is_1 -6.812615 -7.6391 \n", - "coef_total_number_of_tours_is_2 -9.848060 -10.4557 \n", - "coef_total_number_of_tours_is_3 -12.828277 -14.0176 \n", - "coef_total_number_of_tours_is_4 -17.097027 -16.9717 \n", - "coef_urban_and_discretionary_tour 0.000000 0.0000 \n", - "coef_urban_and_escorting_tour 0.425750 -0.3929 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 0.080140 0.0899 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 0.103820 0.1447 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.050631 0.3479 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant 0.430423 0.430423 \n", + "coef_1_plus_eating_out_tours_constant 0.732307 0.732307 \n", + "coef_1_plus_maintenance_tours_constant 0.480847 0.480847 \n", + "coef_1_plus_other_discretionary_tours_constant 0.900550 0.900550 \n", + "coef_1_plus_shopping_tours_constant 0.731723 0.731723 \n", + "coef_1_plus_visting_tours_constant 0.250360 0.250360 \n", + "coef_2_plus_escort_tours_constant 1.457716 1.457716 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... -0.400969 -0.400969 \n", + "coef_female_and_discretionary_tour 0.316191 0.316191 \n", + "coef_female_and_shopping_tour 0.352178 0.352178 \n", + "coef_high_income_group_and_discretionary_tour 0.245706 0.245706 \n", + "coef_high_income_group_and_maintenance_tour 0.828693 0.828693 \n", + "coef_high_income_group_and_shopping_tour 0.846024 0.846024 \n", + "coef_high_income_group_and_tour_frequency_is_1 0.809721 0.809721 \n", + "coef_high_income_group_and_tour_frequency_is_2 1.223360 1.223360 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 1.571734 1.571734 \n", + "coef_high_income_group_and_visiting_tour -0.714757 -0.714757 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.659306 1.659306 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.957087 1.957087 \n", + "coef_mediumhigh_income_group_and_shopping_tour 0.573217 0.573217 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0.685180 0.685180 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0.592898 0.592898 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 1.597675 1.597675 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_4 -0.760824 -0.760824 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.000000 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -0.358322 -0.358322 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -1.622848 -1.622848 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -2.631492 -2.631492 \n", + "coef_presence_of_driving_school_kid_and_escorti... 0.367517 0.367517 \n", + "coef_presence_of_full_time_worker_and_maintenan... -0.254950 -0.254950 \n", + "coef_presence_of_non_worker_and_discretionary_tour -0.828046 -0.828046 \n", + "coef_presence_of_non_worker_and_eating_out_tour -0.660344 -0.660344 \n", + "coef_presence_of_non_worker_and_escorting_tour -0.530905 -0.530905 \n", + "coef_presence_of_part_time_worker_and_maintenan... -0.576071 -0.576071 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 1.756066 1.756066 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0.549515 0.549515 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.340060 -0.340060 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.650421 -0.650421 \n", + "coef_presence_of_retiree_and_eating_out_tour -1.202708 -1.202708 \n", + "coef_presence_of_retiree_and_escorting_tour -0.801304 -0.801304 \n", + "coef_presence_of_university_student_and_eating_... -1.695822 -1.695822 \n", + "coef_total_number_of_tours_is_1 -7.835780 -7.835780 \n", + "coef_total_number_of_tours_is_2 -10.277923 -10.277923 \n", + "coef_total_number_of_tours_is_3 -14.048815 -14.048815 \n", + "coef_total_number_of_tours_is_4 -17.043997 -17.043997 \n", + "coef_urban_and_discretionary_tour 0.000000 0.000000 \n", + "coef_urban_and_escorting_tour -0.503217 -0.503217 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0.108136 0.108136 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0.128901 0.128901 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0.385133 0.385133 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", - "coef_1_plus_shopping_tours_constant 0.0 NaN \n", - "coef_1_plus_visting_tours_constant 0.0 NaN \n", - "coef_2_plus_escort_tours_constant 0.0 NaN \n", - "coef_car_shortage_vs_workers_and_tour_frequency... 0.0 NaN \n", - "coef_female_and_discretionary_tour 0.0 NaN \n", - "coef_female_and_shopping_tour 0.0 NaN \n", - "coef_high_income_group_and_discretionary_tour 0.0 NaN \n", - "coef_high_income_group_and_maintenance_tour 0.0 NaN \n", - "coef_high_income_group_and_shopping_tour 0.0 NaN \n", - "coef_high_income_group_and_tour_frequency_is_1 0.0 NaN \n", - "coef_high_income_group_and_tour_frequency_is_2 0.0 NaN \n", - "coef_high_income_group_and_tour_frequency_is_5_... 0.0 NaN \n", - "coef_high_income_group_and_visiting_tour 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_mediumhigh_income_group_and_shopping_tour 0.0 NaN \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.0 NaN \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.0 NaN \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_4 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_i... 0.0 -999.0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_presence_of_driving_school_kid_and_escorti... 0.0 NaN \n", - "coef_presence_of_full_time_worker_and_maintenan... 0.0 NaN \n", - "coef_presence_of_non_worker_and_discretionary_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_escorting_tour 0.0 NaN \n", - "coef_presence_of_part_time_worker_and_maintenan... 0.0 NaN \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 0.0 NaN \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.0 NaN \n", - "coef_presence_of_preschool_kid_in_household_and... 0.0 NaN \n", - "coef_presence_of_preschool_kid_in_household_and... 0.0 NaN \n", - "coef_presence_of_retiree_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_retiree_and_escorting_tour 0.0 NaN \n", - "coef_presence_of_university_student_and_eating_... 0.0 NaN \n", - "coef_total_number_of_tours_is_1 0.0 NaN \n", - "coef_total_number_of_tours_is_2 0.0 NaN \n", - "coef_total_number_of_tours_is_3 0.0 NaN \n", - "coef_total_number_of_tours_is_4 0.0 NaN \n", - "coef_urban_and_discretionary_tour 0.0 0.0 \n", - "coef_urban_and_escorting_tour 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.0 \n", + "coef_1_escort_tour_constant 0.527200 -20.0 \n", + "coef_1_plus_eating_out_tours_constant 0.691400 -20.0 \n", + "coef_1_plus_maintenance_tours_constant 0.553300 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 0.798900 -20.0 \n", + "coef_1_plus_shopping_tours_constant 0.756900 -20.0 \n", + "coef_1_plus_visting_tours_constant 0.140500 -20.0 \n", + "coef_2_plus_escort_tours_constant 1.598700 -20.0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... -0.549800 -20.0 \n", + "coef_female_and_discretionary_tour 0.307200 -20.0 \n", + "coef_female_and_shopping_tour 0.452400 -20.0 \n", + "coef_high_income_group_and_discretionary_tour 0.296000 -20.0 \n", + "coef_high_income_group_and_maintenance_tour 0.676300 -20.0 \n", + "coef_high_income_group_and_shopping_tour 0.706600 -20.0 \n", + "coef_high_income_group_and_tour_frequency_is_1 0.868200 -20.0 \n", + "coef_high_income_group_and_tour_frequency_is_2 1.536200 -20.0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 1.933100 -20.0 \n", + "coef_high_income_group_and_visiting_tour -0.686800 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.574800 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 2.002600 -20.0 \n", + "coef_mediumhigh_income_group_and_shopping_tour 0.442100 -20.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0.598100 -20.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0.917800 -20.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 1.753900 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_4 -1.198600 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -0.239000 -20.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -1.820800 -20.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -2.592300 -20.0 \n", + "coef_presence_of_driving_school_kid_and_escorti... 0.416400 -20.0 \n", + "coef_presence_of_full_time_worker_and_maintenan... -0.313100 -20.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour -1.037100 -20.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour -0.654500 -20.0 \n", + "coef_presence_of_non_worker_and_escorting_tour -0.526300 -20.0 \n", + "coef_presence_of_part_time_worker_and_maintenan... -0.562100 -20.0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 1.579500 -20.0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0.541400 -20.0 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.155900 -20.0 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.568100 -20.0 \n", + "coef_presence_of_retiree_and_eating_out_tour -1.389000 -20.0 \n", + "coef_presence_of_retiree_and_escorting_tour -0.751600 -20.0 \n", + "coef_presence_of_university_student_and_eating_... -1.431800 -20.0 \n", + "coef_total_number_of_tours_is_1 -7.639100 -20.0 \n", + "coef_total_number_of_tours_is_2 -10.455700 -20.0 \n", + "coef_total_number_of_tours_is_3 -14.017600 -20.0 \n", + "coef_total_number_of_tours_is_4 -16.971701 -20.0 \n", + "coef_urban_and_discretionary_tour 0.000000 0.0 \n", + "coef_urban_and_escorting_tour -0.392900 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0.089900 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0.144700 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0.347900 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "coef_1_plus_shopping_tours_constant NaN 0 \n", - "coef_1_plus_visting_tours_constant NaN 0 \n", - "coef_2_plus_escort_tours_constant NaN 0 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... NaN 0 \n", - "coef_female_and_discretionary_tour NaN 0 \n", - "coef_female_and_shopping_tour NaN 0 \n", - "coef_high_income_group_and_discretionary_tour NaN 0 \n", - "coef_high_income_group_and_maintenance_tour NaN 0 \n", - "coef_high_income_group_and_shopping_tour NaN 0 \n", - "coef_high_income_group_and_tour_frequency_is_1 NaN 0 \n", - "coef_high_income_group_and_tour_frequency_is_2 NaN 0 \n", - "coef_high_income_group_and_tour_frequency_is_5_... NaN 0 \n", - "coef_high_income_group_and_visiting_tour NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_mediumhigh_income_group_and_shopping_tour NaN 0 \n", - "coef_mediumlow_income_group_and_tour_frequency_... NaN 0 \n", - "coef_mediumlow_income_group_and_tour_frequency_... NaN 0 \n", - "coef_mediumlow_income_group_and_tour_frequency_... NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_4 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 1 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_presence_of_driving_school_kid_and_escorti... NaN 0 \n", - "coef_presence_of_full_time_worker_and_maintenan... NaN 0 \n", - "coef_presence_of_non_worker_and_discretionary_tour NaN 0 \n", - "coef_presence_of_non_worker_and_eating_out_tour NaN 0 \n", - "coef_presence_of_non_worker_and_escorting_tour NaN 0 \n", - "coef_presence_of_part_time_worker_and_maintenan... NaN 0 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... NaN 0 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour NaN 0 \n", - "coef_presence_of_preschool_kid_in_household_and... NaN 0 \n", - "coef_presence_of_preschool_kid_in_household_and... NaN 0 \n", - "coef_presence_of_retiree_and_eating_out_tour NaN 0 \n", - "coef_presence_of_retiree_and_escorting_tour NaN 0 \n", - "coef_presence_of_university_student_and_eating_... NaN 0 \n", - "coef_total_number_of_tours_is_1 NaN 0 \n", - "coef_total_number_of_tours_is_2 NaN 0 \n", - "coef_total_number_of_tours_is_3 NaN 0 \n", - "coef_total_number_of_tours_is_4 NaN 0 \n", - "coef_urban_and_discretionary_tour 0.0 1 \n", - "coef_urban_and_escorting_tour NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "coef_1_plus_shopping_tours_constant 20.0 0.0 \n", + "coef_1_plus_visting_tours_constant 20.0 0.0 \n", + "coef_2_plus_escort_tours_constant 20.0 0.0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... 20.0 0.0 \n", + "coef_female_and_discretionary_tour 20.0 0.0 \n", + "coef_female_and_shopping_tour 20.0 0.0 \n", + "coef_high_income_group_and_discretionary_tour 20.0 0.0 \n", + "coef_high_income_group_and_maintenance_tour 20.0 0.0 \n", + "coef_high_income_group_and_shopping_tour 20.0 0.0 \n", + "coef_high_income_group_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_high_income_group_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 20.0 0.0 \n", + "coef_high_income_group_and_visiting_tour 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_shopping_tour 20.0 0.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 20.0 0.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 20.0 0.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_4 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_presence_of_driving_school_kid_and_escorti... 20.0 0.0 \n", + "coef_presence_of_full_time_worker_and_maintenan... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_escorting_tour 20.0 0.0 \n", + "coef_presence_of_part_time_worker_and_maintenan... 20.0 0.0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 20.0 0.0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 20.0 0.0 \n", + "coef_presence_of_preschool_kid_in_household_and... 20.0 0.0 \n", + "coef_presence_of_preschool_kid_in_household_and... 20.0 0.0 \n", + "coef_presence_of_retiree_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_retiree_and_escorting_tour 20.0 0.0 \n", + "coef_presence_of_university_student_and_eating_... 20.0 0.0 \n", + "coef_total_number_of_tours_is_1 20.0 0.0 \n", + "coef_total_number_of_tours_is_2 20.0 0.0 \n", + "coef_total_number_of_tours_is_3 20.0 0.0 \n", + "coef_total_number_of_tours_is_4 20.0 0.0 \n", + "coef_urban_and_discretionary_tour 0.0 0.0 \n", + "coef_urban_and_escorting_tour 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant 0.777927 \n", - "coef_1_plus_eating_out_tours_constant 1.665075 \n", - "coef_1_plus_maintenance_tours_constant 1.214734 \n", - "coef_1_plus_other_discretionary_tours_constant 1.783871 \n", - "coef_1_plus_shopping_tours_constant 1.521613 \n", - "coef_1_plus_visting_tours_constant 1.045482 \n", - "coef_2_plus_escort_tours_constant 1.882661 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... 0.049232 \n", - "coef_female_and_discretionary_tour 0.439252 \n", - "coef_female_and_shopping_tour 0.753133 \n", - "coef_high_income_group_and_discretionary_tour 0.236506 \n", - "coef_high_income_group_and_maintenance_tour 1.385100 \n", - "coef_high_income_group_and_shopping_tour 0.819417 \n", - "coef_high_income_group_and_tour_frequency_is_1 1.145715 \n", - "coef_high_income_group_and_tour_frequency_is_2 1.347519 \n", - "coef_high_income_group_and_tour_frequency_is_5_... 1.498903 \n", - "coef_high_income_group_and_visiting_tour -0.517316 \n", - "coef_logged_maximum_residual_window_tour_freque... 0.768519 \n", - "coef_logged_maximum_residual_window_tour_freque... 1.243995 \n", - "coef_mediumhigh_income_group_and_shopping_tour 0.605047 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.784377 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.776466 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.850898 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_4 -1.347657 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -0.989069 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -2.829794 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -2.785677 \n", - "coef_presence_of_driving_school_kid_and_escorti... 1.029447 \n", - "coef_presence_of_full_time_worker_and_maintenan... -0.484999 \n", - "coef_presence_of_non_worker_and_discretionary_tour -0.556803 \n", - "coef_presence_of_non_worker_and_eating_out_tour -0.231608 \n", - "coef_presence_of_non_worker_and_escorting_tour -0.617113 \n", - "coef_presence_of_part_time_worker_and_maintenan... -1.034909 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 1.808890 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.291702 \n", - "coef_presence_of_preschool_kid_in_household_and... 0.308611 \n", - "coef_presence_of_preschool_kid_in_household_and... -0.530685 \n", - "coef_presence_of_retiree_and_eating_out_tour 0.109209 \n", - "coef_presence_of_retiree_and_escorting_tour -0.461150 \n", - "coef_presence_of_university_student_and_eating_... -1.759323 \n", - "coef_total_number_of_tours_is_1 -6.812615 \n", - "coef_total_number_of_tours_is_2 -9.848060 \n", - "coef_total_number_of_tours_is_3 -12.828277 \n", - "coef_total_number_of_tours_is_4 -17.097027 \n", - "coef_urban_and_discretionary_tour 0.000000 \n", - "coef_urban_and_escorting_tour 0.425750 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 0.080140 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 0.103820 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.050631 " + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "coef_1_plus_shopping_tours_constant 0 \n", + "coef_1_plus_visting_tours_constant 0 \n", + "coef_2_plus_escort_tours_constant 0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... 0 \n", + "coef_female_and_discretionary_tour 0 \n", + "coef_female_and_shopping_tour 0 \n", + "coef_high_income_group_and_discretionary_tour 0 \n", + "coef_high_income_group_and_maintenance_tour 0 \n", + "coef_high_income_group_and_shopping_tour 0 \n", + "coef_high_income_group_and_tour_frequency_is_1 0 \n", + "coef_high_income_group_and_tour_frequency_is_2 0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 0 \n", + "coef_high_income_group_and_visiting_tour 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_mediumhigh_income_group_and_shopping_tour 0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_4 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... 1 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_presence_of_driving_school_kid_and_escorti... 0 \n", + "coef_presence_of_full_time_worker_and_maintenan... 0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 0 \n", + "coef_presence_of_non_worker_and_escorting_tour 0 \n", + "coef_presence_of_part_time_worker_and_maintenan... 0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0 \n", + "coef_presence_of_preschool_kid_in_household_and... 0 \n", + "coef_presence_of_preschool_kid_in_household_and... 0 \n", + "coef_presence_of_retiree_and_eating_out_tour 0 \n", + "coef_presence_of_retiree_and_escorting_tour 0 \n", + "coef_presence_of_university_student_and_eating_... 0 \n", + "coef_total_number_of_tours_is_1 0 \n", + "coef_total_number_of_tours_is_2 0 \n", + "coef_total_number_of_tours_is_3 0 \n", + "coef_total_number_of_tours_is_4 0 \n", + "coef_urban_and_discretionary_tour 1 \n", + "coef_urban_and_escorting_tour 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0 " ] }, "metadata": {}, @@ -1886,23 +4524,528 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.818666298527715e-07 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 2 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_2_plus_escort_tours_constant\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { "data": { "text/html": [ - 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Iteration 076 [Optimization terminated successfully]

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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant 0.430 NA NA 0.00
coef_1_plus_eating_out_tours_constant 0.732 NA NA 0.00
coef_1_plus_maintenance_tours_constant 0.481 NA NA 0.00
coef_1_plus_other_discretionary_tours_constant 0.901 NA NA 0.00
coef_1_plus_shopping_tours_constant 0.732 NA NA 0.00
coef_1_plus_visting_tours_constant 0.250 NA NA 0.00
coef_2_plus_escort_tours_constant 1.46 NA NA 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus-0.401 0.0883-4.54*** 0.00
coef_female_and_discretionary_tour 0.316 0.0881 3.59*** 0.00
coef_female_and_shopping_tour 0.352 0.0792 4.45*** 0.00
coef_high_income_group_and_discretionary_tour 0.246 0.163 1.50 0.00
coef_high_income_group_and_maintenance_tour 0.829 0.195 4.25*** 0.00
coef_high_income_group_and_shopping_tour 0.846 0.170 4.98*** 0.00
coef_high_income_group_and_tour_frequency_is_1 0.810 0.162 5.00*** 0.00
coef_high_income_group_and_tour_frequency_is_2 1.22 0.228 5.37*** 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 1.57 0.350 4.49*** 0.00
coef_high_income_group_and_visiting_tour-0.715 0.204-3.50*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 1.66 0.131 12.64*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 1.96 0.141 13.90*** 0.00
coef_mediumhigh_income_group_and_shopping_tour 0.573 0.164 3.49*** 0.00
coef_mediumlow_income_group_and_tour_frequency_is_1 0.685 0.171 4.01*** 0.00
coef_mediumlow_income_group_and_tour_frequency_is_2 0.593 0.242 2.45* 0.00
coef_mediumlow_income_group_and_tour_frequency_is_5_plus 1.60 0.362 4.41*** 0.00
coef_number_of_joint_tours_and_tour_frequency_is_4-0.761 0.227-3.36*** 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_number_of_mandatory_tours_and_tour_frequency_is_1-0.358 0.150-2.39* 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_2-1.62 0.237-6.86*** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus-2.63 0.260-10.11*** 0.00
coef_presence_of_driving_school_kid_and_escorting_tour 0.368 0.0942 3.90*** 0.00
coef_presence_of_full_time_worker_and_maintenance_tour-0.255 0.0976-2.61** 0.00
coef_presence_of_non_worker_and_discretionary_tour-0.828 0.122-6.79*** 0.00
coef_presence_of_non_worker_and_eating_out_tour-0.660 0.155-4.26*** 0.00
coef_presence_of_non_worker_and_escorting_tour-0.531 0.0850-6.24*** 0.00
coef_presence_of_part_time_worker_and_maintenance_tour-0.576 0.109-5.30*** 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 1.76 0.0737 23.84*** 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 0.550 0.0912 6.02*** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1-0.340 0.112-3.02** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5-0.650 0.151-4.31*** 0.00
coef_presence_of_retiree_and_eating_out_tour-1.20 0.245-4.90*** 0.00
coef_presence_of_retiree_and_escorting_tour-0.801 0.136-5.90*** 0.00
coef_presence_of_university_student_and_eating_out_tour-1.70 0.334-5.08*** 0.00
coef_total_number_of_tours_is_1-7.84 NA NA 0.00
coef_total_number_of_tours_is_2-10.3 NA NA 0.00
coef_total_number_of_tours_is_3-14.0 NA NA 0.00
coef_total_number_of_tours_is_4-17.0 NA NA 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_urban_and_escorting_tour-0.503 0.0816-6.17*** 0.00
coef_walk_access_to_retail_and_tour_frequency_is_1 0.108 0.0253 4.28*** 0.00
coef_walk_access_to_retail_and_tour_frequency_is_2 0.129 0.0303 4.25*** 0.00
coef_walk_access_to_retail_and_tour_frequency_is_5_plus 0.385 0.0468 8.23*** 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_UNIVERSITY\n" + ] + }, + { + "data": { + "text/html": [ + "

Iteration 074 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1914,7 +5057,7 @@ { "data": { "text/html": [ - "

Best LL = -324.8584172756779

" + "

Best LL = -3512.6973954855457

" ], "text/plain": [ "" @@ -1945,70 +5088,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", + " -2.000000\n", " -2.0000\n", - " 0.0\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " 1.851506\n", + " 1.761998\n", + " 1.761998\n", " 1.7028\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.851506\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -13.970901\n", + " 2.214614\n", + " 2.214614\n", " 2.0723\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -13.970901\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -0.338031\n", + " 0.085206\n", + " 0.085206\n", " 0.3348\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.338031\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " -1.473992\n", + " 1.308003\n", + " 1.308003\n", " 1.3389\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.473992\n", " \n", " \n", " ...\n", @@ -2019,109 +5166,106 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_urban_and_shopping_tour\n", - " 0.711573\n", + " 0.637185\n", + " 0.637185\n", " 0.5330\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.711573\n", " \n", " \n", " coef_urban_and_tour_frequency_is_1\n", - " -3.537340\n", + " -0.924987\n", + " -0.924987\n", " -1.1648\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3.537340\n", " \n", " \n", " coef_urban_and_tour_frequency_is_2\n", - " -4.729195\n", + " -2.118276\n", + " -2.118276\n", " -2.3177\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.729195\n", " \n", " \n", " coef_urban_and_tour_frequency_is_5_plus\n", - " -6.020888\n", + " -2.502952\n", + " -2.502952\n", " -2.5027\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -6.020888\n", " \n", " \n", " coef_walk_access_to_retail_and_shopping\n", - " 0.102379\n", + " 0.072376\n", + " 0.072376\n", " 0.0972\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.102379\n", " \n", " \n", "\n", - "

70 rows × 8 columns

\n", + "

70 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant 1.851506 1.7028 \n", - "coef_1_plus_eating_out_tours_constant -13.970901 2.0723 \n", - "coef_1_plus_maintenance_tours_constant -0.338031 0.3348 \n", - "coef_1_plus_other_discretionary_tours_constant -1.473992 1.3389 \n", - "... ... ... \n", - "coef_urban_and_shopping_tour 0.711573 0.5330 \n", - "coef_urban_and_tour_frequency_is_1 -3.537340 -1.1648 \n", - "coef_urban_and_tour_frequency_is_2 -4.729195 -2.3177 \n", - "coef_urban_and_tour_frequency_is_5_plus -6.020888 -2.5027 \n", - "coef_walk_access_to_retail_and_shopping 0.102379 0.0972 \n", + " value best initvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 -2.0000 \n", + "coef_1_escort_tour_constant 1.761998 1.761998 1.7028 \n", + "coef_1_plus_eating_out_tours_constant 2.214614 2.214614 2.0723 \n", + "coef_1_plus_maintenance_tours_constant 0.085206 0.085206 0.3348 \n", + "coef_1_plus_other_discretionary_tours_constant 1.308003 1.308003 1.3389 \n", + "... ... ... ... \n", + "coef_urban_and_shopping_tour 0.637185 0.637185 0.5330 \n", + "coef_urban_and_tour_frequency_is_1 -0.924987 -0.924987 -1.1648 \n", + "coef_urban_and_tour_frequency_is_2 -2.118276 -2.118276 -2.3177 \n", + "coef_urban_and_tour_frequency_is_5_plus -2.502952 -2.502952 -2.5027 \n", + "coef_walk_access_to_retail_and_shopping 0.072376 0.072376 0.0972 \n", "\n", - " nullvalue minimum maximum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN NaN \n", - "... ... ... ... \n", - "coef_urban_and_shopping_tour 0.0 NaN NaN \n", - "coef_urban_and_tour_frequency_is_1 0.0 NaN NaN \n", - "coef_urban_and_tour_frequency_is_2 0.0 NaN NaN \n", - "coef_urban_and_tour_frequency_is_5_plus 0.0 NaN NaN \n", - "coef_walk_access_to_retail_and_shopping 0.0 NaN NaN \n", + " minimum maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 -2.0 0.0 \n", + "coef_1_escort_tour_constant -20.0 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant -20.0 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant -20.0 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant -20.0 20.0 0.0 \n", + "... ... ... ... \n", + "coef_urban_and_shopping_tour -20.0 20.0 0.0 \n", + "coef_urban_and_tour_frequency_is_1 -20.0 20.0 0.0 \n", + "coef_urban_and_tour_frequency_is_2 -20.0 20.0 0.0 \n", + "coef_urban_and_tour_frequency_is_5_plus -20.0 20.0 0.0 \n", + "coef_walk_access_to_retail_and_shopping -20.0 20.0 0.0 \n", "\n", - " holdfast note best \n", - "coef_0_auto_household_and_escorting_tour 1 -2.000000 \n", - "coef_1_escort_tour_constant 0 1.851506 \n", - "coef_1_plus_eating_out_tours_constant 0 -13.970901 \n", - "coef_1_plus_maintenance_tours_constant 0 -0.338031 \n", - "coef_1_plus_other_discretionary_tours_constant 0 -1.473992 \n", - "... ... ... ... \n", - "coef_urban_and_shopping_tour 0 0.711573 \n", - "coef_urban_and_tour_frequency_is_1 0 -3.537340 \n", - "coef_urban_and_tour_frequency_is_2 0 -4.729195 \n", - "coef_urban_and_tour_frequency_is_5_plus 0 -6.020888 \n", - "coef_walk_access_to_retail_and_shopping 0 0.102379 \n", + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "... ... \n", + "coef_urban_and_shopping_tour 0 \n", + "coef_urban_and_tour_frequency_is_1 0 \n", + "coef_urban_and_tour_frequency_is_2 0 \n", + "coef_urban_and_tour_frequency_is_5_plus 0 \n", + "coef_walk_access_to_retail_and_shopping 0 \n", "\n", - "[70 rows x 8 columns]" + "[70 rows x 7 columns]" ] }, "metadata": {}, @@ -2131,26 +5275,699 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.8717456834857003e-13 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 13 parameter estimators with negative variance\n", - "- coef_1_plus_eating_out_tours_constant\n", - "- coef_1_plus_shopping_tours_constant\n", - "- coef_1_plus_visting_tours_constant\n", - "- coef_logged_maximum_residual_window_tour_frequency_is_0\n", - "- and 9 more\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { "data": { "text/html": [ - "

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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant 1.76 185. 0.01 0.00
coef_1_plus_eating_out_tours_constant 2.21 185. 0.01 0.00
coef_1_plus_maintenance_tours_constant 0.0852 185. 0.00 0.00
coef_1_plus_other_discretionary_tours_constant 1.31 185. 0.01 0.00
coef_1_plus_shopping_tours_constant 1.84 185. 0.01 0.00
coef_1_plus_visting_tours_constant 1.17 185. 0.01 0.00
coef_2_plus_escort_tours_constant 3.01 371. 0.01 0.00
coef_auto_access_to_retail_and_discretionary 0.0900 0.138 0.65 0.00
coef_auto_access_to_retail_and_eating_out 0.0731 0.147 0.50 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus-0.790 0.187-4.23*** 0.00
coef_female_and_discretionary_tour-0.393 0.156-2.52* 0.00
coef_female_and_eatingout_tour-0.727 0.176-4.14*** 0.00
coef_female_and_tour_frequency_is_1-0.0110 0.151-0.07 0.00
coef_female_and_tour_frequency_is_2 0.140 0.188 0.74 0.00
coef_female_and_tour_frequency_is_5 1.41 0.250 5.62*** 0.00
coef_high_income_group_and_eating_out_tour-0.130 0.215-0.60 0.00
coef_high_income_group_and_shopping_tour 0.648 0.180 3.60*** 0.00
coef_high_income_group_and_tour_frequency_is_1 0.192 0.180 1.07 0.00
coef_high_income_group_and_tour_frequency_is_2 0.658 0.215 3.07** 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 0.540 0.282 1.92 0.00
coef_high_income_group_and_visiting_tour-0.536 0.215-2.50* 0.00
coef_logged_maximum_residual_window_tour_frequency_is_0 1.14 NA NA 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 1.53 NA NA 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_1-0.0200 0.180-0.11 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_2 0.0675 0.226 0.30 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_5_plus 0.530 0.268 1.98* 0.00
coef_number_of_joint_discretionary_tours 1.21 0.353 3.43*** 0.00
coef_number_of_joint_shopping_tours-0.600 0.791-0.76 0.00
coef_number_of_joint_tours_and_tour_frequency_is_2-0.543 0.347-1.57 0.00
coef_number_of_joint_tours_and_tour_frequency_is_3-0.800 0.423-1.89 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_number_of_mandatory_tours_and_tour_frequency_is_1-0.0978 0.170-0.58 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_2-0.496 0.194-2.55* 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_3-1.55 0.250-6.21*** 0.00
coef_presence_of_full_time_worker_and_discretionary_tour-0.576 0.145-3.98*** 0.00
coef_presence_of_full_time_worker_and_eating_out_tour-0.770 0.198-3.89*** 0.00
coef_presence_of_full_time_worker_and_shopping_tour-0.732 0.158-4.63*** 0.00
coef_presence_of_non_worker_and_discretionary_tour 1.12 0.179 6.23*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_1-0.653 0.180-3.64*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_5-1.46 0.214-6.82*** 0.00
coef_presence_of_part_time_worker_and_eating_out_tour-2.81 0.388-7.24*** 0.00
coef_presence_of_part_time_worker_and_escorting_tour-1.59 0.172-9.21*** 0.00
coef_presence_of_part_time_worker_and_shopping_tour-0.486 0.156-3.11** 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 0.992 0.114 8.69*** 0.00
coef_presence_of_pre_driving_school_kid_and_maintenance_tour 0.880 0.221 3.98*** 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 1.88 0.216 8.71*** 0.00
coef_presence_of_pre_school_kid_and_maintenance_tour 0.753 0.317 2.38* 0.00
coef_presence_of_pre_school_kid_and_shopping_tour 1.06 0.245 4.32*** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_1-1.00 0.269-3.71*** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_2-1.76 0.389-4.53*** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5-2.20 0.521-4.23*** 0.00
coef_presence_of_university_student_and_discretionary_tour-0.735 0.169-4.35*** 0.00
coef_presence_of_university_student_and_eating_out_tour-0.545 0.227-2.41* 0.00
coef_total_number_of_tours_is_1-6.46 185.-0.03 0.00
coef_total_number_of_tours_is_2-9.07 371.-0.02 0.00
coef_total_number_of_tours_is_3-12.0 556.-0.02 0.00
coef_total_number_of_tours_is_4-15.8 741.-0.02 0.00
coef_transit_access_to_retail_and_discretionary 0.00 0.00 NA 0.00fixed value
coef_transit_access_to_retail_and_maintenance 0.100 0.0621 1.61 0.00
coef_transit_access_to_retail_and_tour_frequency_is_5_plus 0.0272 0.0421 0.65 0.00
coef_urban_and_discretionary_tour 1.25 0.258 4.83*** 0.00
coef_urban_and_eatingout_tour 0.594 0.274 2.17* 0.00
coef_urban_and_escorting_tour 0.778 0.233 3.35*** 0.00
coef_urban_and_maintenance_tour 0.853 0.339 2.52* 0.00
coef_urban_and_shopping_tour 0.637 0.262 2.43* 0.00
coef_urban_and_tour_frequency_is_1-0.925 0.280-3.30*** 0.00
coef_urban_and_tour_frequency_is_2-2.12 0.455-4.66*** 0.00
coef_urban_and_tour_frequency_is_5_plus-2.50 0.659-3.80*** 0.00
coef_walk_access_to_retail_and_shopping 0.0724 0.0523 1.38 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_NONWORK\n" + ] + }, + { + "data": { + "text/html": [ + "

Iteration 152 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -2162,7 +5979,7 @@ { "data": { "text/html": [ - "

Best LL = -1038.9605658891858

" + "

Best LL = -15004.401530353549

" ], "text/plain": [ "" @@ -2193,70 +6010,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", + " -2.000000\n", " -2.0000\n", - " 0.0\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " -4.317862\n", + " -0.539501\n", + " -0.539501\n", " -0.0629\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.317862\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -4.459267\n", + " -0.520038\n", + " -0.520038\n", " -0.1429\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.459267\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -9.609591\n", + " -0.627098\n", + " -0.627098\n", " -0.0653\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -9.609591\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " -4.488178\n", + " -0.154697\n", + " -0.154697\n", " 0.3334\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.488178\n", " \n", " \n", " ...\n", @@ -2267,122 +6088,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_walk_access_to_retail_and_discretionary\n", - " 0.214072\n", + " 0.089664\n", + " 0.089664\n", " 0.0772\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.214072\n", " \n", " \n", " coef_walk_access_to_retail_and_shopping\n", - " 0.039849\n", + " 0.080837\n", + " 0.080837\n", " 0.0598\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.039849\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_1\n", - " -0.507092\n", + " 0.126334\n", + " 0.126334\n", " 0.0713\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.507092\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_2\n", - " -0.403984\n", + " 0.186292\n", + " 0.186292\n", " 0.1256\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.403984\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_5_plus\n", - " -0.260693\n", + " 0.163397\n", + " 0.163397\n", " 0.1508\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.260693\n", " \n", " \n", "\n", - "

77 rows × 8 columns

\n", + "

77 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant -4.317862 -0.0629 \n", - "coef_1_plus_eating_out_tours_constant -4.459267 -0.1429 \n", - "coef_1_plus_maintenance_tours_constant -9.609591 -0.0653 \n", - "coef_1_plus_other_discretionary_tours_constant -4.488178 0.3334 \n", - "... ... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.214072 0.0772 \n", - "coef_walk_access_to_retail_and_shopping 0.039849 0.0598 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 -0.507092 0.0713 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 -0.403984 0.1256 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... -0.260693 0.1508 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant -0.539501 -0.539501 \n", + "coef_1_plus_eating_out_tours_constant -0.520038 -0.520038 \n", + "coef_1_plus_maintenance_tours_constant -0.627098 -0.627098 \n", + "coef_1_plus_other_discretionary_tours_constant -0.154697 -0.154697 \n", + "... ... ... \n", + "coef_walk_access_to_retail_and_discretionary 0.089664 0.089664 \n", + "coef_walk_access_to_retail_and_shopping 0.080837 0.080837 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0.126334 0.126334 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0.186292 0.186292 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0.163397 0.163397 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0000 -2.0 \n", + "coef_1_escort_tour_constant -0.0629 -20.0 \n", + "coef_1_plus_eating_out_tours_constant -0.1429 -20.0 \n", + "coef_1_plus_maintenance_tours_constant -0.0653 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 0.3334 -20.0 \n", "... ... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.0 NaN \n", - "coef_walk_access_to_retail_and_shopping 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 0.0 NaN \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.0 NaN \n", + "coef_walk_access_to_retail_and_discretionary 0.0772 -20.0 \n", + "coef_walk_access_to_retail_and_shopping 0.0598 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0.0713 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0.1256 -20.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0.1508 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "... ... ... ... \n", - "coef_walk_access_to_retail_and_discretionary NaN 0 \n", - "coef_walk_access_to_retail_and_shopping NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 NaN 0 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "... ... ... \n", + "coef_walk_access_to_retail_and_discretionary 20.0 0.0 \n", + "coef_walk_access_to_retail_and_shopping 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant -4.317862 \n", - "coef_1_plus_eating_out_tours_constant -4.459267 \n", - "coef_1_plus_maintenance_tours_constant -9.609591 \n", - "coef_1_plus_other_discretionary_tours_constant -4.488178 \n", + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", "... ... \n", - "coef_walk_access_to_retail_and_discretionary 0.214072 \n", - "coef_walk_access_to_retail_and_shopping 0.039849 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_1 -0.507092 \n", - "coef_walk_access_to_retail_and_tour_frequency_is_2 -0.403984 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... -0.260693 \n", + "coef_walk_access_to_retail_and_discretionary 0 \n", + "coef_walk_access_to_retail_and_shopping 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_1 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_is_2 0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0 \n", "\n", - "[77 rows x 8 columns]" + "[77 rows x 7 columns]" ] }, "metadata": {}, @@ -2392,26 +6211,762 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.673077519570165e-16 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 21 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_1_plus_eating_out_tours_constant\n", - "- coef_1_plus_maintenance_tours_constant\n", - "- coef_1_plus_other_discretionary_tours_constant\n", - "- and 17 more\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { "data": { "text/html": [ - "

Iteration 074 [Optimization terminated successfully]

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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant-0.540 102.-0.01 0.00
coef_1_plus_eating_out_tours_constant-0.520 102.-0.01 0.00
coef_1_plus_maintenance_tours_constant-0.627 102.-0.01 0.00
coef_1_plus_other_discretionary_tours_constant-0.155 102.-0.00 0.00
coef_1_plus_shopping_tours_constant-0.0544 102.-0.00 0.00
coef_1_plus_visting_tours_constant-0.452 102.-0.00 0.00
coef_2_plus_escort_tours_constant-0.0628 203.-0.00 0.00
coef_at_home_pre_driving_school_kid_and_escorting_tour-1.18 0.154-7.67*** 0.00
coef_at_home_pre_school_kid_and_eating_out_tour-0.368 0.216-1.70 0.00
coef_at_home_pre_school_kid_and_escorting_tour-0.332 0.105-3.18** 0.00
coef_auto_access_to_retail_and_maintenance 0.108 0.0554 1.94 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_1-0.160 0.414-0.39 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_2-1.15 0.428-2.70** 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus-1.52 0.484-3.14** 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus 0.878 0.240 3.65*** 0.00
coef_female_and_maintenance_tour-0.350 0.0674-5.19*** 0.00
coef_female_and_tour_frequency_is_1 0.509 0.192 2.65** 0.00
coef_female_and_tour_frequency_is_2 0.461 0.198 2.33* 0.00
coef_female_and_tour_frequency_is_3 0.637 0.220 2.89** 0.00
coef_female_and_tour_frequency_is_5 0.996 0.304 3.28** 0.00
coef_high_income_group_and_discretionary_tour 0.831 0.107 7.78*** 0.00
coef_high_income_group_and_eating_out_tour 0.589 0.153 3.86*** 0.00
coef_high_income_group_and_shopping_tour 0.913 0.0932 9.79*** 0.00
coef_high_income_group_and_tour_frequency_is_2 1.24 0.312 3.99*** 0.00
coef_high_income_group_and_tour_frequency_is_3 1.94 0.340 5.71*** 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 2.71 0.384 7.04*** 0.00
coef_high_income_group_and_visiting_tour-1.12 0.169-6.63*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 3.58 0.342 10.47*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 2.85 0.387 7.37*** 0.00
coef_mediumhigh_income_group_and_discretionary_tour 0.511 0.103 4.96*** 0.00
coef_mediumhigh_income_group_and_eating_out_tour 0.441 0.147 3.00** 0.00
coef_mediumhigh_income_group_and_shopping_tour 0.942 0.0888 10.61*** 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_1 0.690 0.282 2.44* 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_2 0.681 0.291 2.34* 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_5_plus 0.625 0.314 1.99* 0.00
coef_mediumhigh_income_group_and_visiting_tour-0.429 0.112-3.83*** 0.00
coef_mediumlow_income_group_and_discretionary_tour 0.141 0.101 1.40 0.00
coef_mediumlow_income_group_and_eating_out_tour 0.125 0.142 0.88 0.00
coef_mediumlow_income_group_and_shopping_tour 0.698 0.0888 7.86*** 0.00
coef_mediumlow_income_group_and_tour_frequency_is_1 0.934 0.288 3.24** 0.00
coef_mediumlow_income_group_and_tour_frequency_is_5_plus 1.11 0.296 3.77*** 0.00
coef_number_of_joint_eating_out_tours-0.263 0.580-0.45 0.00
coef_number_of_joint_shopping_tours-0.612 0.233-2.62** 0.00
coef_number_of_joint_tours_and_tour_frequency_is_1-3.09 1.93-1.60 0.00
coef_number_of_joint_tours_and_tour_frequency_is_2-1.35 1.65-0.81 0.00
coef_number_of_joint_tours_and_tour_frequency_is_3-1.20 1.65-0.73 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-1.39 1.67-0.83 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_1-0.677 1.06e-09-BIG*** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_3-1.05 1.80e-09-BIG*** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_presence_of_full_time_worker_and_eating_out_tour-0.429 0.109-3.93*** 0.00
coef_presence_of_full_time_worker_and_escorting_tour 0.436 0.0527 8.26*** 0.00
coef_presence_of_non_worker_and_eating_out_tour-0.413 0.107-3.86*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_1-0.162 0.185-0.87 0.00
coef_presence_of_non_worker_and_tour_frequency_is_2-0.633 0.192-3.30*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_5-1.03 0.212-4.86*** 0.00
coef_presence_of_part_time_worker_and_discretionary_tour-0.381 0.0565-6.74*** 0.00
coef_presence_of_part_time_worker_and_escorting_tour-0.642 0.0637-10.08*** 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 1.35 0.0589 22.99*** 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 0.820 0.0530 15.45*** 0.00
coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1 0.0317 0.189 0.17 0.00
coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5 0.573 0.200 2.86** 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5-0.739 0.186-3.98*** 0.00
coef_presence_of_retiree_and_eating_out_tour-0.778 0.186-4.19*** 0.00
coef_presence_of_retiree_and_tour_frequency_is_1-0.223 0.223-1.00 0.00
coef_presence_of_retiree_and_tour_frequency_is_5-0.225 0.230-0.98 0.00
coef_total_number_of_tours_is_1-10.6 102.-0.10 0.00
coef_total_number_of_tours_is_2-13.0 203.-0.06 0.00
coef_total_number_of_tours_is_3-15.2 305.-0.05 0.00
coef_total_number_of_tours_is_4-17.7 407.-0.04 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_walk_access_to_retail_and_discretionary 0.0897 0.0225 3.98*** 0.00
coef_walk_access_to_retail_and_shopping 0.0808 0.0199 4.07*** 0.00
coef_walk_access_to_retail_and_tour_frequency_is_1 0.126 0.0653 1.93 0.00
coef_walk_access_to_retail_and_tour_frequency_is_2 0.186 0.0679 2.74** 0.00
coef_walk_access_to_retail_and_tour_frequency_is_5_plus 0.163 0.0735 2.22* 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_RETIRED\n" + ] + }, + { + "data": { + "text/html": [ + "

Iteration 076 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -2423,7 +6978,7 @@ { "data": { "text/html": [ - "

Best LL = -787.4000431560225

" + "

Best LL = -7936.229778686792

" ], "text/plain": [ "" @@ -2454,823 +7009,783 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", + " -2.000000\n", " -2.0000\n", - " 0.0\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " -2.730596\n", + " -0.420225\n", + " -0.420225\n", " -0.3992\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.730596\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -2.583305\n", + " -0.040375\n", + " -0.040375\n", " 0.0245\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.583305\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -2.299219\n", + " 0.008956\n", + " 0.008956\n", " 0.1046\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.299219\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " -2.243196\n", + " 0.373522\n", + " 0.373522\n", " 0.4282\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.243196\n", " \n", " \n", " coef_1_plus_shopping_tours_constant\n", - " -1.916643\n", + " 0.512414\n", + " 0.512414\n", " 0.5947\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.916643\n", " \n", " \n", " coef_1_plus_visting_tours_constant\n", - " -2.344018\n", + " 0.079465\n", + " 0.079465\n", " 0.2789\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.344018\n", " \n", " \n", " coef_2_plus_escort_tours_constant\n", - " -4.935937\n", + " 0.307462\n", + " 0.307462\n", " 0.5175\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.935937\n", " \n", " \n", " coef_car_surplus_vs_workers_and_tour_frequency_is_1\n", - " 3.094754\n", + " 1.243116\n", + " 1.243116\n", " 0.7965\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3.094754\n", " \n", " \n", " coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus\n", - " 3.475854\n", + " 2.463002\n", + " 2.463002\n", " 2.1302\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3.475854\n", " \n", " \n", " coef_female_and_discretionary_tour\n", - " 0.541528\n", + " 0.503760\n", + " 0.503760\n", " 0.4954\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.541528\n", " \n", " \n", " coef_female_and_maintenance_tour\n", - " 0.708328\n", + " 0.726465\n", + " 0.726465\n", " 0.7424\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.708328\n", " \n", " \n", " coef_female_and_shopping_tour\n", - " 0.609316\n", + " 0.951849\n", + " 0.951849\n", " 0.9688\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.609316\n", " \n", " \n", " coef_female_and_tour_frequency_is_1\n", - " -2.519155\n", + " -0.637595\n", + " -0.637595\n", " -0.9348\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.519155\n", " \n", " \n", " coef_female_and_tour_frequency_is_2\n", - " -2.727169\n", + " -0.922030\n", + " -0.922030\n", " -1.3028\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.727169\n", " \n", " \n", " coef_female_and_tour_frequency_is_5\n", - " -4.160203\n", + " -1.995909\n", + " -1.995909\n", " -2.2660\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.160203\n", " \n", " \n", " coef_high_income_group_and_discretionary_tour\n", - " 0.925884\n", + " 0.912572\n", + " 0.912572\n", " 1.0095\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.925884\n", " \n", " \n", " coef_high_income_group_and_eating_out_tour\n", - " 1.624493\n", + " 1.333766\n", + " 1.333766\n", " 1.4842\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.624493\n", " \n", " \n", " coef_high_income_group_and_maintenance_tour\n", - " 1.006105\n", + " 1.269533\n", + " 1.269533\n", " 1.3795\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.006105\n", " \n", " \n", " coef_high_income_group_and_shopping_tour\n", - " 1.105171\n", + " 0.999823\n", + " 0.999823\n", " 1.0949\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.105171\n", " \n", " \n", " coef_high_income_group_and_visiting_tour\n", - " -0.656664\n", + " -0.187117\n", + " -0.187117\n", " -0.5137\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.656664\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_1\n", - " 2.966557\n", + " 2.036712\n", + " 2.036712\n", " 1.8357\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.966557\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_2\n", - " 5.581416\n", + " 2.413288\n", + " 2.413288\n", " 2.2707\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 5.581416\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_5_plus\n", - " 31.909531\n", + " 4.720353\n", + " 4.720353\n", " 4.4023\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 31.909531\n", " \n", " \n", " coef_mediumhigh_income_group_and_eating_out_tour\n", - " 0.964279\n", + " 0.944127\n", + " 0.944127\n", " 1.1810\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.964279\n", " \n", " \n", " coef_mediumhigh_income_group_and_maintenance_tour\n", - " 0.465351\n", + " 0.688701\n", + " 0.688701\n", " 0.7648\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.465351\n", " \n", " \n", " coef_mediumhigh_income_group_and_visiting_tour\n", - " -0.478169\n", + " -0.370854\n", + " -0.370854\n", " -0.4368\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.478169\n", " \n", " \n", " coef_mediumlow_income_group_and_eating_out_tour\n", - " 0.877486\n", + " 0.937822\n", + " 0.937822\n", " 0.9769\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.877486\n", " \n", " \n", " coef_number_of_joint_shopping_tours\n", - " -0.290998\n", + " -1.313333\n", + " -1.313333\n", " -0.8072\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.290998\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_2\n", - " -6.327143\n", + " -1.010634\n", + " -1.010634\n", " -0.9500\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -6.327143\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_3\n", - " -85.627389\n", + " -7.212476\n", + " -7.212476\n", " -7.1430\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -85.627389\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_5_plus\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", - " 0.0\n", " -999.0\n", " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_3\n", " -5.019600\n", + " -5.019600\n", " -5.0196\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.019600\n", " \n", " \n", " coef_presence_of_full_time_worker_and_discretionary_tour\n", - " -0.331984\n", + " -0.657085\n", + " -0.657085\n", " -0.4835\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.331984\n", " \n", " \n", " coef_presence_of_full_time_worker_and_shopping_tour\n", - " -0.207325\n", + " -0.421774\n", + " -0.421774\n", " -0.3609\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.207325\n", " \n", " \n", " coef_presence_of_non_worker_and_discretionary_tour\n", - " -0.084104\n", + " -0.575662\n", + " -0.575662\n", " -0.5603\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.084104\n", " \n", " \n", " coef_presence_of_non_worker_and_eating_out_tour\n", - " -0.701536\n", + " -0.905311\n", + " -0.905311\n", " -0.7880\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.701536\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_1\n", - " 1.190681\n", + " -0.017018\n", + " -0.017018\n", " 0.2240\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.190681\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_2\n", - " 1.374195\n", + " 0.067997\n", + " 0.067997\n", " 0.2436\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.374195\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_3\n", - " 2.156822\n", + " 0.258114\n", + " 0.258114\n", " 0.6200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 2.156822\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_5\n", - " 3.694303\n", + " 3.203479\n", + " 3.203479\n", " 3.3742\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3.694303\n", " \n", " \n", " coef_presence_of_pre_driving_school_kid_and_escorting_tour\n", - " 1.682880\n", + " 1.424066\n", + " 1.424066\n", " 1.4903\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.682880\n", " \n", " \n", " coef_presence_of_pre_school_kid_and_escorting_tour\n", - " 0.641813\n", + " 0.393961\n", + " 0.393961\n", " 0.5027\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.641813\n", " \n", " \n", " coef_presence_of_retiree_and_eating_out_tour\n", - " -0.944680\n", + " -0.793588\n", + " -0.793588\n", " -0.9282\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.944680\n", " \n", " \n", " coef_presence_of_retiree_and_tour_frequency_is_1\n", - " 0.321424\n", + " -0.721457\n", + " -0.721457\n", " -0.4458\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.321424\n", " \n", " \n", " coef_presence_of_retiree_and_tour_frequency_is_5\n", - " -0.051242\n", + " -0.751932\n", + " -0.751932\n", " -0.5315\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.051242\n", " \n", " \n", " coef_total_number_of_tours_is_1\n", - " -14.532345\n", + " -8.702153\n", + " -8.702153\n", " -8.5684\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -14.532345\n", " \n", " \n", " coef_total_number_of_tours_is_2\n", - " -15.267480\n", + " -12.664662\n", + " -12.664662\n", " -12.7416\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -15.267480\n", " \n", " \n", " coef_total_number_of_tours_is_3\n", - " -15.029318\n", + " -14.734677\n", + " -14.734677\n", " -15.0978\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -15.029318\n", " \n", " \n", " coef_total_number_of_tours_is_4\n", - " -14.905140\n", + " -19.432621\n", + " -19.432621\n", " -19.5439\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -14.905140\n", " \n", " \n", " coef_total_number_of_tours_is_5\n", - " -27.549766\n", + " -19.999982\n", + " -19.999982\n", " -20.7897\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -27.549766\n", " \n", " \n", " coef_urban_and_discretionary_tour\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_walk_access_to_retail_and_tour_frequency_is_5_plus\n", - " 0.691082\n", + " -0.010167\n", + " -0.010167\n", " 0.0616\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.691082\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant -2.730596 -0.3992 \n", - "coef_1_plus_eating_out_tours_constant -2.583305 0.0245 \n", - "coef_1_plus_maintenance_tours_constant -2.299219 0.1046 \n", - "coef_1_plus_other_discretionary_tours_constant -2.243196 0.4282 \n", - "coef_1_plus_shopping_tours_constant -1.916643 0.5947 \n", - "coef_1_plus_visting_tours_constant -2.344018 0.2789 \n", - "coef_2_plus_escort_tours_constant -4.935937 0.5175 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 3.094754 0.7965 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 3.475854 2.1302 \n", - "coef_female_and_discretionary_tour 0.541528 0.4954 \n", - "coef_female_and_maintenance_tour 0.708328 0.7424 \n", - "coef_female_and_shopping_tour 0.609316 0.9688 \n", - "coef_female_and_tour_frequency_is_1 -2.519155 -0.9348 \n", - "coef_female_and_tour_frequency_is_2 -2.727169 -1.3028 \n", - "coef_female_and_tour_frequency_is_5 -4.160203 -2.2660 \n", - "coef_high_income_group_and_discretionary_tour 0.925884 1.0095 \n", - "coef_high_income_group_and_eating_out_tour 1.624493 1.4842 \n", - "coef_high_income_group_and_maintenance_tour 1.006105 1.3795 \n", - "coef_high_income_group_and_shopping_tour 1.105171 1.0949 \n", - "coef_high_income_group_and_visiting_tour -0.656664 -0.5137 \n", - "coef_logged_maximum_residual_window_tour_freque... 2.966557 1.8357 \n", - "coef_logged_maximum_residual_window_tour_freque... 5.581416 2.2707 \n", - "coef_logged_maximum_residual_window_tour_freque... 31.909531 4.4023 \n", - "coef_mediumhigh_income_group_and_eating_out_tour 0.964279 1.1810 \n", - "coef_mediumhigh_income_group_and_maintenance_tour 0.465351 0.7648 \n", - "coef_mediumhigh_income_group_and_visiting_tour -0.478169 -0.4368 \n", - "coef_mediumlow_income_group_and_eating_out_tour 0.877486 0.9769 \n", - "coef_number_of_joint_shopping_tours -0.290998 -0.8072 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -6.327143 -0.9500 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 -85.627389 -7.1430 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.0000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -5.019600 -5.0196 \n", - "coef_presence_of_full_time_worker_and_discretio... -0.331984 -0.4835 \n", - "coef_presence_of_full_time_worker_and_shopping_... -0.207325 -0.3609 \n", - "coef_presence_of_non_worker_and_discretionary_tour -0.084104 -0.5603 \n", - "coef_presence_of_non_worker_and_eating_out_tour -0.701536 -0.7880 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 1.190681 0.2240 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 1.374195 0.2436 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 2.156822 0.6200 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 3.694303 3.3742 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 1.682880 1.4903 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.641813 0.5027 \n", - "coef_presence_of_retiree_and_eating_out_tour -0.944680 -0.9282 \n", - "coef_presence_of_retiree_and_tour_frequency_is_1 0.321424 -0.4458 \n", - "coef_presence_of_retiree_and_tour_frequency_is_5 -0.051242 -0.5315 \n", - "coef_total_number_of_tours_is_1 -14.532345 -8.5684 \n", - "coef_total_number_of_tours_is_2 -15.267480 -12.7416 \n", - "coef_total_number_of_tours_is_3 -15.029318 -15.0978 \n", - "coef_total_number_of_tours_is_4 -14.905140 -19.5439 \n", - "coef_total_number_of_tours_is_5 -27.549766 -20.7897 \n", - "coef_urban_and_discretionary_tour 0.000000 0.0000 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.691082 0.0616 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant -0.420225 -0.420225 \n", + "coef_1_plus_eating_out_tours_constant -0.040375 -0.040375 \n", + "coef_1_plus_maintenance_tours_constant 0.008956 0.008956 \n", + "coef_1_plus_other_discretionary_tours_constant 0.373522 0.373522 \n", + "coef_1_plus_shopping_tours_constant 0.512414 0.512414 \n", + "coef_1_plus_visting_tours_constant 0.079465 0.079465 \n", + "coef_2_plus_escort_tours_constant 0.307462 0.307462 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 1.243116 1.243116 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 2.463002 2.463002 \n", + "coef_female_and_discretionary_tour 0.503760 0.503760 \n", + "coef_female_and_maintenance_tour 0.726465 0.726465 \n", + "coef_female_and_shopping_tour 0.951849 0.951849 \n", + "coef_female_and_tour_frequency_is_1 -0.637595 -0.637595 \n", + "coef_female_and_tour_frequency_is_2 -0.922030 -0.922030 \n", + "coef_female_and_tour_frequency_is_5 -1.995909 -1.995909 \n", + "coef_high_income_group_and_discretionary_tour 0.912572 0.912572 \n", + "coef_high_income_group_and_eating_out_tour 1.333766 1.333766 \n", + "coef_high_income_group_and_maintenance_tour 1.269533 1.269533 \n", + "coef_high_income_group_and_shopping_tour 0.999823 0.999823 \n", + "coef_high_income_group_and_visiting_tour -0.187117 -0.187117 \n", + "coef_logged_maximum_residual_window_tour_freque... 2.036712 2.036712 \n", + "coef_logged_maximum_residual_window_tour_freque... 2.413288 2.413288 \n", + "coef_logged_maximum_residual_window_tour_freque... 4.720353 4.720353 \n", + "coef_mediumhigh_income_group_and_eating_out_tour 0.944127 0.944127 \n", + "coef_mediumhigh_income_group_and_maintenance_tour 0.688701 0.688701 \n", + "coef_mediumhigh_income_group_and_visiting_tour -0.370854 -0.370854 \n", + "coef_mediumlow_income_group_and_eating_out_tour 0.937822 0.937822 \n", + "coef_number_of_joint_shopping_tours -1.313333 -1.313333 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -1.010634 -1.010634 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 -7.212476 -7.212476 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.000000 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -5.019600 -5.019600 \n", + "coef_presence_of_full_time_worker_and_discretio... -0.657085 -0.657085 \n", + "coef_presence_of_full_time_worker_and_shopping_... -0.421774 -0.421774 \n", + "coef_presence_of_non_worker_and_discretionary_tour -0.575662 -0.575662 \n", + "coef_presence_of_non_worker_and_eating_out_tour -0.905311 -0.905311 \n", + "coef_presence_of_non_worker_and_tour_frequency_... -0.017018 -0.017018 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.067997 0.067997 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.258114 0.258114 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 3.203479 3.203479 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 1.424066 1.424066 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0.393961 0.393961 \n", + "coef_presence_of_retiree_and_eating_out_tour -0.793588 -0.793588 \n", + "coef_presence_of_retiree_and_tour_frequency_is_1 -0.721457 -0.721457 \n", + "coef_presence_of_retiree_and_tour_frequency_is_5 -0.751932 -0.751932 \n", + "coef_total_number_of_tours_is_1 -8.702153 -8.702153 \n", + "coef_total_number_of_tours_is_2 -12.664662 -12.664662 \n", + "coef_total_number_of_tours_is_3 -14.734677 -14.734677 \n", + "coef_total_number_of_tours_is_4 -19.432621 -19.432621 \n", + "coef_total_number_of_tours_is_5 -19.999982 -19.999982 \n", + "coef_urban_and_discretionary_tour 0.000000 0.000000 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... -0.010167 -0.010167 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", - "coef_1_plus_shopping_tours_constant 0.0 NaN \n", - "coef_1_plus_visting_tours_constant 0.0 NaN \n", - "coef_2_plus_escort_tours_constant 0.0 NaN \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 0.0 NaN \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 0.0 NaN \n", - "coef_female_and_discretionary_tour 0.0 NaN \n", - "coef_female_and_maintenance_tour 0.0 NaN \n", - "coef_female_and_shopping_tour 0.0 NaN \n", - "coef_female_and_tour_frequency_is_1 0.0 NaN \n", - "coef_female_and_tour_frequency_is_2 0.0 NaN \n", - "coef_female_and_tour_frequency_is_5 0.0 NaN \n", - "coef_high_income_group_and_discretionary_tour 0.0 NaN \n", - "coef_high_income_group_and_eating_out_tour 0.0 NaN \n", - "coef_high_income_group_and_maintenance_tour 0.0 NaN \n", - "coef_high_income_group_and_shopping_tour 0.0 NaN \n", - "coef_high_income_group_and_visiting_tour 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_mediumhigh_income_group_and_eating_out_tour 0.0 NaN \n", - "coef_mediumhigh_income_group_and_maintenance_tour 0.0 NaN \n", - "coef_mediumhigh_income_group_and_visiting_tour 0.0 NaN \n", - "coef_mediumlow_income_group_and_eating_out_tour 0.0 NaN \n", - "coef_number_of_joint_shopping_tours 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_i... 0.0 -999.0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_presence_of_full_time_worker_and_discretio... 0.0 NaN \n", - "coef_presence_of_full_time_worker_and_shopping_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_discretionary_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 0.0 NaN \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.0 NaN \n", - "coef_presence_of_retiree_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_retiree_and_tour_frequency_is_1 0.0 NaN \n", - "coef_presence_of_retiree_and_tour_frequency_is_5 0.0 NaN \n", - "coef_total_number_of_tours_is_1 0.0 NaN \n", - "coef_total_number_of_tours_is_2 0.0 NaN \n", - "coef_total_number_of_tours_is_3 0.0 NaN \n", - "coef_total_number_of_tours_is_4 0.0 NaN \n", - "coef_total_number_of_tours_is_5 0.0 NaN \n", - "coef_urban_and_discretionary_tour 0.0 0.0 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0000 -2.0 \n", + "coef_1_escort_tour_constant -0.3992 -20.0 \n", + "coef_1_plus_eating_out_tours_constant 0.0245 -20.0 \n", + "coef_1_plus_maintenance_tours_constant 0.1046 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 0.4282 -20.0 \n", + "coef_1_plus_shopping_tours_constant 0.5947 -20.0 \n", + "coef_1_plus_visting_tours_constant 0.2789 -20.0 \n", + "coef_2_plus_escort_tours_constant 0.5175 -20.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0.7965 -20.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 2.1302 -20.0 \n", + "coef_female_and_discretionary_tour 0.4954 -20.0 \n", + "coef_female_and_maintenance_tour 0.7424 -20.0 \n", + "coef_female_and_shopping_tour 0.9688 -20.0 \n", + "coef_female_and_tour_frequency_is_1 -0.9348 -20.0 \n", + "coef_female_and_tour_frequency_is_2 -1.3028 -20.0 \n", + "coef_female_and_tour_frequency_is_5 -2.2660 -20.0 \n", + "coef_high_income_group_and_discretionary_tour 1.0095 -20.0 \n", + "coef_high_income_group_and_eating_out_tour 1.4842 -20.0 \n", + "coef_high_income_group_and_maintenance_tour 1.3795 -20.0 \n", + "coef_high_income_group_and_shopping_tour 1.0949 -20.0 \n", + "coef_high_income_group_and_visiting_tour -0.5137 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.8357 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 2.2707 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 4.4023 -20.0 \n", + "coef_mediumhigh_income_group_and_eating_out_tour 1.1810 -20.0 \n", + "coef_mediumhigh_income_group_and_maintenance_tour 0.7648 -20.0 \n", + "coef_mediumhigh_income_group_and_visiting_tour -0.4368 -20.0 \n", + "coef_mediumlow_income_group_and_eating_out_tour 0.9769 -20.0 \n", + "coef_number_of_joint_shopping_tours -0.8072 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -0.9500 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 -7.1430 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0000 -999.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -5.0196 -20.0 \n", + "coef_presence_of_full_time_worker_and_discretio... -0.4835 -20.0 \n", + "coef_presence_of_full_time_worker_and_shopping_... -0.3609 -20.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour -0.5603 -20.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour -0.7880 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.2240 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.2436 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.6200 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 3.3742 -20.0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 1.4903 -20.0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0.5027 -20.0 \n", + "coef_presence_of_retiree_and_eating_out_tour -0.9282 -20.0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_1 -0.4458 -20.0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_5 -0.5315 -20.0 \n", + "coef_total_number_of_tours_is_1 -8.5684 -20.0 \n", + "coef_total_number_of_tours_is_2 -12.7416 -20.0 \n", + "coef_total_number_of_tours_is_3 -15.0978 -20.0 \n", + "coef_total_number_of_tours_is_4 -19.5439 -20.0 \n", + "coef_total_number_of_tours_is_5 -20.7897 -20.0 \n", + "coef_urban_and_discretionary_tour 0.0000 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0.0616 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "coef_1_plus_shopping_tours_constant NaN 0 \n", - "coef_1_plus_visting_tours_constant NaN 0 \n", - "coef_2_plus_escort_tours_constant NaN 0 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... NaN 0 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... NaN 0 \n", - "coef_female_and_discretionary_tour NaN 0 \n", - "coef_female_and_maintenance_tour NaN 0 \n", - "coef_female_and_shopping_tour NaN 0 \n", - "coef_female_and_tour_frequency_is_1 NaN 0 \n", - "coef_female_and_tour_frequency_is_2 NaN 0 \n", - "coef_female_and_tour_frequency_is_5 NaN 0 \n", - "coef_high_income_group_and_discretionary_tour NaN 0 \n", - "coef_high_income_group_and_eating_out_tour NaN 0 \n", - "coef_high_income_group_and_maintenance_tour NaN 0 \n", - "coef_high_income_group_and_shopping_tour NaN 0 \n", - "coef_high_income_group_and_visiting_tour NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_mediumhigh_income_group_and_eating_out_tour NaN 0 \n", - "coef_mediumhigh_income_group_and_maintenance_tour NaN 0 \n", - "coef_mediumhigh_income_group_and_visiting_tour NaN 0 \n", - "coef_mediumlow_income_group_and_eating_out_tour NaN 0 \n", - "coef_number_of_joint_shopping_tours NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 1 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_presence_of_full_time_worker_and_discretio... NaN 0 \n", - "coef_presence_of_full_time_worker_and_shopping_... NaN 0 \n", - "coef_presence_of_non_worker_and_discretionary_tour NaN 0 \n", - "coef_presence_of_non_worker_and_eating_out_tour NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... NaN 0 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour NaN 0 \n", - "coef_presence_of_retiree_and_eating_out_tour NaN 0 \n", - "coef_presence_of_retiree_and_tour_frequency_is_1 NaN 0 \n", - "coef_presence_of_retiree_and_tour_frequency_is_5 NaN 0 \n", - "coef_total_number_of_tours_is_1 NaN 0 \n", - "coef_total_number_of_tours_is_2 NaN 0 \n", - "coef_total_number_of_tours_is_3 NaN 0 \n", - "coef_total_number_of_tours_is_4 NaN 0 \n", - "coef_total_number_of_tours_is_5 NaN 0 \n", - "coef_urban_and_discretionary_tour 0.0 1 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "coef_1_plus_shopping_tours_constant 20.0 0.0 \n", + "coef_1_plus_visting_tours_constant 20.0 0.0 \n", + "coef_2_plus_escort_tours_constant 20.0 0.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 20.0 0.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 20.0 0.0 \n", + "coef_female_and_discretionary_tour 20.0 0.0 \n", + "coef_female_and_maintenance_tour 20.0 0.0 \n", + "coef_female_and_shopping_tour 20.0 0.0 \n", + "coef_female_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_female_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_female_and_tour_frequency_is_5 20.0 0.0 \n", + "coef_high_income_group_and_discretionary_tour 20.0 0.0 \n", + "coef_high_income_group_and_eating_out_tour 20.0 0.0 \n", + "coef_high_income_group_and_maintenance_tour 20.0 0.0 \n", + "coef_high_income_group_and_shopping_tour 20.0 0.0 \n", + "coef_high_income_group_and_visiting_tour 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_eating_out_tour 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_maintenance_tour 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_visiting_tour 20.0 0.0 \n", + "coef_mediumlow_income_group_and_eating_out_tour 20.0 0.0 \n", + "coef_number_of_joint_shopping_tours 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_presence_of_full_time_worker_and_discretio... 20.0 0.0 \n", + "coef_presence_of_full_time_worker_and_shopping_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 20.0 0.0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 20.0 0.0 \n", + "coef_presence_of_retiree_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_5 20.0 0.0 \n", + "coef_total_number_of_tours_is_1 20.0 0.0 \n", + "coef_total_number_of_tours_is_2 20.0 0.0 \n", + "coef_total_number_of_tours_is_3 20.0 0.0 \n", + "coef_total_number_of_tours_is_4 20.0 0.0 \n", + "coef_total_number_of_tours_is_5 20.0 0.0 \n", + "coef_urban_and_discretionary_tour 0.0 0.0 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant -2.730596 \n", - "coef_1_plus_eating_out_tours_constant -2.583305 \n", - "coef_1_plus_maintenance_tours_constant -2.299219 \n", - "coef_1_plus_other_discretionary_tours_constant -2.243196 \n", - "coef_1_plus_shopping_tours_constant -1.916643 \n", - "coef_1_plus_visting_tours_constant -2.344018 \n", - "coef_2_plus_escort_tours_constant -4.935937 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 3.094754 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 3.475854 \n", - "coef_female_and_discretionary_tour 0.541528 \n", - "coef_female_and_maintenance_tour 0.708328 \n", - "coef_female_and_shopping_tour 0.609316 \n", - "coef_female_and_tour_frequency_is_1 -2.519155 \n", - "coef_female_and_tour_frequency_is_2 -2.727169 \n", - "coef_female_and_tour_frequency_is_5 -4.160203 \n", - "coef_high_income_group_and_discretionary_tour 0.925884 \n", - "coef_high_income_group_and_eating_out_tour 1.624493 \n", - "coef_high_income_group_and_maintenance_tour 1.006105 \n", - "coef_high_income_group_and_shopping_tour 1.105171 \n", - "coef_high_income_group_and_visiting_tour -0.656664 \n", - "coef_logged_maximum_residual_window_tour_freque... 2.966557 \n", - "coef_logged_maximum_residual_window_tour_freque... 5.581416 \n", - "coef_logged_maximum_residual_window_tour_freque... 31.909531 \n", - "coef_mediumhigh_income_group_and_eating_out_tour 0.964279 \n", - "coef_mediumhigh_income_group_and_maintenance_tour 0.465351 \n", - "coef_mediumhigh_income_group_and_visiting_tour -0.478169 \n", - "coef_mediumlow_income_group_and_eating_out_tour 0.877486 \n", - "coef_number_of_joint_shopping_tours -0.290998 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -6.327143 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 -85.627389 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -5.019600 \n", - "coef_presence_of_full_time_worker_and_discretio... -0.331984 \n", - "coef_presence_of_full_time_worker_and_shopping_... -0.207325 \n", - "coef_presence_of_non_worker_and_discretionary_tour -0.084104 \n", - "coef_presence_of_non_worker_and_eating_out_tour -0.701536 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 1.190681 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 1.374195 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 2.156822 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 3.694303 \n", - "coef_presence_of_pre_driving_school_kid_and_esc... 1.682880 \n", - "coef_presence_of_pre_school_kid_and_escorting_tour 0.641813 \n", - "coef_presence_of_retiree_and_eating_out_tour -0.944680 \n", - "coef_presence_of_retiree_and_tour_frequency_is_1 0.321424 \n", - "coef_presence_of_retiree_and_tour_frequency_is_5 -0.051242 \n", - "coef_total_number_of_tours_is_1 -14.532345 \n", - "coef_total_number_of_tours_is_2 -15.267480 \n", - "coef_total_number_of_tours_is_3 -15.029318 \n", - "coef_total_number_of_tours_is_4 -14.905140 \n", - "coef_total_number_of_tours_is_5 -27.549766 \n", - "coef_urban_and_discretionary_tour 0.000000 \n", - "coef_walk_access_to_retail_and_tour_frequency_i... 0.691082 " + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "coef_1_plus_shopping_tours_constant 0 \n", + "coef_1_plus_visting_tours_constant 0 \n", + "coef_2_plus_escort_tours_constant 0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0 \n", + "coef_female_and_discretionary_tour 0 \n", + "coef_female_and_maintenance_tour 0 \n", + "coef_female_and_shopping_tour 0 \n", + "coef_female_and_tour_frequency_is_1 0 \n", + "coef_female_and_tour_frequency_is_2 0 \n", + "coef_female_and_tour_frequency_is_5 0 \n", + "coef_high_income_group_and_discretionary_tour 0 \n", + "coef_high_income_group_and_eating_out_tour 0 \n", + "coef_high_income_group_and_maintenance_tour 0 \n", + "coef_high_income_group_and_shopping_tour 0 \n", + "coef_high_income_group_and_visiting_tour 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_mediumhigh_income_group_and_eating_out_tour 0 \n", + "coef_mediumhigh_income_group_and_maintenance_tour 0 \n", + "coef_mediumhigh_income_group_and_visiting_tour 0 \n", + "coef_mediumlow_income_group_and_eating_out_tour 0 \n", + "coef_number_of_joint_shopping_tours 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... 1 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_presence_of_full_time_worker_and_discretio... 0 \n", + "coef_presence_of_full_time_worker_and_shopping_... 0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_pre_driving_school_kid_and_esc... 0 \n", + "coef_presence_of_pre_school_kid_and_escorting_tour 0 \n", + "coef_presence_of_retiree_and_eating_out_tour 0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_1 0 \n", + "coef_presence_of_retiree_and_tour_frequency_is_5 0 \n", + "coef_total_number_of_tours_is_1 0 \n", + "coef_total_number_of_tours_is_2 0 \n", + "coef_total_number_of_tours_is_3 0 \n", + "coef_total_number_of_tours_is_4 0 \n", + "coef_total_number_of_tours_is_5 0 \n", + "coef_urban_and_discretionary_tour 1 \n", + "coef_walk_access_to_retail_and_tour_frequency_i... 0 " ] }, "metadata": {}, @@ -3280,26 +7795,546 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.7375419460797773e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 11 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_1_plus_eating_out_tours_constant\n", - "- coef_1_plus_maintenance_tours_constant\n", - "- coef_1_plus_other_discretionary_tours_constant\n", - "- and 7 more\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - 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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant-0.420 NA NA 0.00
coef_1_plus_eating_out_tours_constant-0.0404 NA NA 0.00
coef_1_plus_maintenance_tours_constant 0.00896 NA NA 0.00
coef_1_plus_other_discretionary_tours_constant 0.374 NA NA 0.00
coef_1_plus_shopping_tours_constant 0.512 NA NA 0.00
coef_1_plus_visting_tours_constant 0.0795 NA NA 0.00
coef_2_plus_escort_tours_constant 0.307 NA NA 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_1 1.24 0.325 3.82*** 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus 2.46 0.352 7.00*** 0.00
coef_female_and_discretionary_tour 0.504 0.0998 5.05*** 0.00
coef_female_and_maintenance_tour 0.726 0.101 7.19*** 0.00
coef_female_and_shopping_tour 0.952 0.0924 10.30*** 0.00
coef_female_and_tour_frequency_is_1-0.638 0.212-3.00** 0.00
coef_female_and_tour_frequency_is_2-0.922 0.243-3.79*** 0.00
coef_female_and_tour_frequency_is_5-2.00 0.299-6.67*** 0.00
coef_high_income_group_and_discretionary_tour 0.913 0.110 8.32*** 0.00
coef_high_income_group_and_eating_out_tour 1.33 0.218 6.13*** 0.00
coef_high_income_group_and_maintenance_tour 1.27 0.137 9.27*** 0.00
coef_high_income_group_and_shopping_tour 1.00 0.102 9.82*** 0.00
coef_high_income_group_and_visiting_tour-0.187 0.184-1.02 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 2.04 0.397 5.13*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_2 2.41 0.555 4.35*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 4.72 1.20 3.94*** 0.00
coef_mediumhigh_income_group_and_eating_out_tour 0.944 0.193 4.88*** 0.00
coef_mediumhigh_income_group_and_maintenance_tour 0.689 0.112 6.16*** 0.00
coef_mediumhigh_income_group_and_visiting_tour-0.371 0.155-2.40* 0.00
coef_mediumlow_income_group_and_eating_out_tour 0.938 0.162 5.79*** 0.00
coef_number_of_joint_shopping_tours-1.31 0.343-3.83*** 0.00
coef_number_of_joint_tours_and_tour_frequency_is_2-1.01 1.37-0.74 0.00
coef_number_of_joint_tours_and_tour_frequency_is_3-7.21 3.36-2.15* 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_number_of_mandatory_tours_and_tour_frequency_is_3-5.02 1.36e-09-BIG*** 0.00
coef_presence_of_full_time_worker_and_discretionary_tour-0.657 0.104-6.31*** 0.00
coef_presence_of_full_time_worker_and_shopping_tour-0.422 0.0891-4.73*** 0.00
coef_presence_of_non_worker_and_discretionary_tour-0.576 0.128-4.50*** 0.00
coef_presence_of_non_worker_and_eating_out_tour-0.905 0.113-8.00*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_1-0.0170 0.239-0.07 0.00
coef_presence_of_non_worker_and_tour_frequency_is_2 0.0680 0.262 0.26 0.00
coef_presence_of_non_worker_and_tour_frequency_is_3 0.258 0.330 0.78 0.00
coef_presence_of_non_worker_and_tour_frequency_is_5 3.20 0.707 4.53*** 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 1.42 0.127 11.20*** 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 0.394 0.177 2.22* 0.00
coef_presence_of_retiree_and_eating_out_tour-0.794 0.140-5.65*** 0.00
coef_presence_of_retiree_and_tour_frequency_is_1-0.721 0.238-3.03** 0.00
coef_presence_of_retiree_and_tour_frequency_is_5-0.752 0.248-3.03** 0.00
coef_total_number_of_tours_is_1-8.70 NA NA 0.00
coef_total_number_of_tours_is_2-12.7 NA NA 0.00
coef_total_number_of_tours_is_3-14.7 NA NA 0.00
coef_total_number_of_tours_is_4-19.4 NA NA 0.00
coef_total_number_of_tours_is_5-20.0 NA NA 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_walk_access_to_retail_and_tour_frequency_is_5_plus-0.0102 0.0639-0.16 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_DRIVING\n" ] }, { "data": { "text/html": [ - "

Iteration 078 [Optimization terminated successfully]

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Iteration 111 [Optimization terminated successfully]

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Best LL = -13.427352167831913

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Best LL = -1410.7703396627119

" ], "text/plain": [ "" @@ -3342,673 +8377,643 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", - " -289.819438\n", + " -2.355904\n", + " -2.355904\n", " -2.0000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -289.819438\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " -6434.961317\n", + " -0.591707\n", + " -0.591707\n", " -0.4934\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -6434.961317\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -3885.411913\n", + " -0.530705\n", + " -0.530705\n", " -0.0242\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3885.411913\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -1195.807014\n", + " -0.478676\n", + " -0.478676\n", " -0.4344\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1195.807014\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " -2406.806121\n", + " 0.075144\n", + " 0.075144\n", " -0.2602\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2406.806121\n", " \n", " \n", " coef_1_plus_shopping_tours_constant\n", - " -2389.305945\n", + " 0.278338\n", + " 0.278338\n", " 0.5320\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2389.305945\n", " \n", " \n", " coef_1_plus_visting_tours_constant\n", - " -2389.305996\n", + " 0.074734\n", + " 0.074734\n", " 0.2367\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2389.305996\n", " \n", " \n", " coef_2_plus_escort_tours_constant\n", - " -5667.685401\n", + " 0.538812\n", + " 0.538812\n", " 1.4155\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5667.685401\n", " \n", " \n", " coef_auto_access_to_retail_and_tour_frequency_is_5_plus\n", - " -44.188373\n", + " 0.120695\n", + " 0.120695\n", " 0.1004\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -44.188373\n", " \n", " \n", " coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus\n", - " -17232.832071\n", + " -0.895829\n", + " -0.895829\n", " -0.6369\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -17232.832071\n", " \n", " \n", " coef_car_surplus_vs_workers_and_tour_frequency_is_1\n", - " -4035.619542\n", + " 0.384556\n", + " 0.384556\n", " 0.2902\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4035.619542\n", " \n", " \n", " coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus\n", - " 15225.992542\n", + " 1.915045\n", + " 1.915045\n", " 2.0352\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 15225.992542\n", " \n", " \n", " coef_high_income_group_and_discretionary_tour\n", - " 4481.084393\n", + " 1.973678\n", + " 1.973678\n", " 2.3270\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4481.084393\n", " \n", " \n", " coef_high_income_group_and_eating_out_tour\n", - " -3157.273834\n", + " 1.115882\n", + " 1.115882\n", " 0.4916\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3157.273834\n", " \n", " \n", " coef_high_income_group_and_maintenance_tour\n", - " 4461.484862\n", + " 0.535657\n", + " 0.535657\n", " 0.3982\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4461.484862\n", " \n", " \n", " coef_high_income_group_and_shopping_tour\n", - " 4461.390803\n", + " 0.297949\n", + " 0.297949\n", " 0.2443\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4461.390803\n", " \n", " \n", " coef_high_income_group_and_visiting_tour\n", - " 4461.390852\n", + " 0.657170\n", + " 0.657170\n", " 0.2858\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4461.390852\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_1\n", - " 16.594329\n", + " 1.842413\n", + " 1.842413\n", " 1.3298\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 16.594329\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_2\n", - " -19742.937757\n", + " 2.746659\n", + " 2.746659\n", " 1.3759\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -19742.937757\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_5_plus\n", - " -11491.665678\n", + " 3.207837\n", + " 3.207837\n", " 3.2808\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -11491.665678\n", " \n", " \n", " coef_mediumhigh_income_group_and_discretionary_tour\n", - " 572.847509\n", + " 0.785646\n", + " 0.785646\n", " 1.4050\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 572.847509\n", " \n", " \n", " coef_mediumlow_income_group_and_discretionary_tour\n", - " -4429.942211\n", + " 0.715806\n", + " 0.715806\n", " 0.9169\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4429.942211\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_1\n", - " -4180.353968\n", + " -0.076456\n", + " -0.076456\n", " -0.2162\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4180.353968\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_2\n", - " -1606.502880\n", + " -2.349128\n", + " -2.349128\n", " -0.3587\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1606.502880\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_3\n", - " -109.819329\n", + " -4.951681\n", + " -4.951681\n", " -4.2701\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -109.819329\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_5_plus\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", - " 0.0\n", " -999.0\n", " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_1\n", - " -16877.023970\n", + " -0.717100\n", + " -0.717100\n", " -0.2340\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -16877.023970\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_2\n", - " 12620.764595\n", + " -2.894440\n", + " -2.894440\n", " -0.9231\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 12620.764595\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_3\n", - " -4861.997912\n", + " -6.487708\n", + " -6.487708\n", " -6.5835\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4861.997912\n", " \n", " \n", " coef_presence_of_driving_school_kid_and_discretionary_tour\n", - " -578.872073\n", + " -0.825813\n", + " -0.825813\n", " -0.9202\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -578.872073\n", " \n", " \n", " coef_presence_of_driving_school_kid_and_eating_out_tour\n", - " 6.381728\n", + " -0.605776\n", + " -0.605776\n", " -0.6377\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 6.381728\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_2\n", - " 878.008827\n", + " -0.268732\n", + " -0.268732\n", " -0.6571\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 878.008827\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_5\n", - " -1944.922644\n", + " -3.177667\n", + " -3.177667\n", " -1.4044\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1944.922644\n", " \n", " \n", " coef_presence_of_pre_driving_school_kid_and_eating_out_tour\n", - " -164.906255\n", + " -1.449331\n", + " -1.449331\n", " -1.5698\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -164.906255\n", " \n", " \n", " coef_presence_of_pre_school_kid_and_eating_out_tour\n", - " 313.476309\n", + " -1.804988\n", + " -1.804988\n", " -0.2987\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 313.476309\n", " \n", " \n", " coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1\n", - " 4033.566871\n", + " -0.395397\n", + " -0.395397\n", " -0.3219\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 4033.566871\n", " \n", " \n", " coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5\n", - " 10149.331976\n", + " -1.985303\n", + " -1.985303\n", " -1.0874\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 10149.331976\n", " \n", " \n", " coef_presence_of_university_student_and_discretionary_tour\n", - " 3906.378403\n", + " -1.663216\n", + " -1.663216\n", " -1.2834\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 3906.378403\n", " \n", " \n", " coef_total_number_of_tours_is_1\n", - " 15200.662337\n", + " -7.917385\n", + " -7.917385\n", " -7.1506\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 15200.662337\n", " \n", " \n", " coef_total_number_of_tours_is_2\n", - " -1638.556186\n", + " -11.926451\n", + " -11.926451\n", " -11.1214\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1638.556186\n", " \n", " \n", " coef_total_number_of_tours_is_3\n", - " -14010.608324\n", + " -13.210287\n", + " -13.210287\n", " -13.1750\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -14010.608324\n", " \n", " \n", " coef_urban_and_discretionary_tour\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_urban_and_maintenance_tour\n", - " -1194.333214\n", + " 1.131129\n", + " 1.131129\n", " 1.0394\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1194.333214\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -289.819438 -2.0000 \n", - "coef_1_escort_tour_constant -6434.961317 -0.4934 \n", - "coef_1_plus_eating_out_tours_constant -3885.411913 -0.0242 \n", - "coef_1_plus_maintenance_tours_constant -1195.807014 -0.4344 \n", - "coef_1_plus_other_discretionary_tours_constant -2406.806121 -0.2602 \n", - "coef_1_plus_shopping_tours_constant -2389.305945 0.5320 \n", - "coef_1_plus_visting_tours_constant -2389.305996 0.2367 \n", - "coef_2_plus_escort_tours_constant -5667.685401 1.4155 \n", - "coef_auto_access_to_retail_and_tour_frequency_i... -44.188373 0.1004 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... -17232.832071 -0.6369 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... -4035.619542 0.2902 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 15225.992542 2.0352 \n", - "coef_high_income_group_and_discretionary_tour 4481.084393 2.3270 \n", - "coef_high_income_group_and_eating_out_tour -3157.273834 0.4916 \n", - "coef_high_income_group_and_maintenance_tour 4461.484862 0.3982 \n", - "coef_high_income_group_and_shopping_tour 4461.390803 0.2443 \n", - "coef_high_income_group_and_visiting_tour 4461.390852 0.2858 \n", - "coef_logged_maximum_residual_window_tour_freque... 16.594329 1.3298 \n", - "coef_logged_maximum_residual_window_tour_freque... -19742.937757 1.3759 \n", - "coef_logged_maximum_residual_window_tour_freque... -11491.665678 3.2808 \n", - "coef_mediumhigh_income_group_and_discretionary_... 572.847509 1.4050 \n", - "coef_mediumlow_income_group_and_discretionary_tour -4429.942211 0.9169 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_1 -4180.353968 -0.2162 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -1606.502880 -0.3587 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 -109.819329 -4.2701 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.0000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -16877.023970 -0.2340 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 12620.764595 -0.9231 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -4861.997912 -6.5835 \n", - "coef_presence_of_driving_school_kid_and_discret... -578.872073 -0.9202 \n", - "coef_presence_of_driving_school_kid_and_eating_... 6.381728 -0.6377 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 878.008827 -0.6571 \n", - "coef_presence_of_non_worker_and_tour_frequency_... -1944.922644 -1.4044 \n", - "coef_presence_of_pre_driving_school_kid_and_eat... -164.906255 -1.5698 \n", - "coef_presence_of_pre_school_kid_and_eating_out_... 313.476309 -0.2987 \n", - "coef_presence_of_predriving_school_kid_in_house... 4033.566871 -0.3219 \n", - "coef_presence_of_predriving_school_kid_in_house... 10149.331976 -1.0874 \n", - "coef_presence_of_university_student_and_discret... 3906.378403 -1.2834 \n", - "coef_total_number_of_tours_is_1 15200.662337 -7.1506 \n", - "coef_total_number_of_tours_is_2 -1638.556186 -11.1214 \n", - "coef_total_number_of_tours_is_3 -14010.608324 -13.1750 \n", - "coef_urban_and_discretionary_tour 0.000000 0.0000 \n", - "coef_urban_and_maintenance_tour -1194.333214 1.0394 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.355904 -2.355904 \n", + "coef_1_escort_tour_constant -0.591707 -0.591707 \n", + "coef_1_plus_eating_out_tours_constant -0.530705 -0.530705 \n", + "coef_1_plus_maintenance_tours_constant -0.478676 -0.478676 \n", + "coef_1_plus_other_discretionary_tours_constant 0.075144 0.075144 \n", + "coef_1_plus_shopping_tours_constant 0.278338 0.278338 \n", + "coef_1_plus_visting_tours_constant 0.074734 0.074734 \n", + "coef_2_plus_escort_tours_constant 0.538812 0.538812 \n", + "coef_auto_access_to_retail_and_tour_frequency_i... 0.120695 0.120695 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... -0.895829 -0.895829 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0.384556 0.384556 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 1.915045 1.915045 \n", + "coef_high_income_group_and_discretionary_tour 1.973678 1.973678 \n", + "coef_high_income_group_and_eating_out_tour 1.115882 1.115882 \n", + "coef_high_income_group_and_maintenance_tour 0.535657 0.535657 \n", + "coef_high_income_group_and_shopping_tour 0.297949 0.297949 \n", + "coef_high_income_group_and_visiting_tour 0.657170 0.657170 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.842413 1.842413 \n", + "coef_logged_maximum_residual_window_tour_freque... 2.746659 2.746659 \n", + "coef_logged_maximum_residual_window_tour_freque... 3.207837 3.207837 \n", + "coef_mediumhigh_income_group_and_discretionary_... 0.785646 0.785646 \n", + "coef_mediumlow_income_group_and_discretionary_tour 0.715806 0.715806 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_1 -0.076456 -0.076456 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -2.349128 -2.349128 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 -4.951681 -4.951681 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.000000 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -0.717100 -0.717100 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -2.894440 -2.894440 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -6.487708 -6.487708 \n", + "coef_presence_of_driving_school_kid_and_discret... -0.825813 -0.825813 \n", + "coef_presence_of_driving_school_kid_and_eating_... -0.605776 -0.605776 \n", + "coef_presence_of_non_worker_and_tour_frequency_... -0.268732 -0.268732 \n", + "coef_presence_of_non_worker_and_tour_frequency_... -3.177667 -3.177667 \n", + "coef_presence_of_pre_driving_school_kid_and_eat... -1.449331 -1.449331 \n", + "coef_presence_of_pre_school_kid_and_eating_out_... -1.804988 -1.804988 \n", + "coef_presence_of_predriving_school_kid_in_house... -0.395397 -0.395397 \n", + "coef_presence_of_predriving_school_kid_in_house... -1.985303 -1.985303 \n", + "coef_presence_of_university_student_and_discret... -1.663216 -1.663216 \n", + "coef_total_number_of_tours_is_1 -7.917385 -7.917385 \n", + "coef_total_number_of_tours_is_2 -11.926451 -11.926451 \n", + "coef_total_number_of_tours_is_3 -13.210287 -13.210287 \n", + "coef_urban_and_discretionary_tour 0.000000 0.000000 \n", + "coef_urban_and_maintenance_tour 1.131129 1.131129 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 NaN \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", - "coef_1_plus_shopping_tours_constant 0.0 NaN \n", - "coef_1_plus_visting_tours_constant 0.0 NaN \n", - "coef_2_plus_escort_tours_constant 0.0 NaN \n", - "coef_auto_access_to_retail_and_tour_frequency_i... 0.0 NaN \n", - "coef_car_shortage_vs_workers_and_tour_frequency... 0.0 NaN \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 0.0 NaN \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 0.0 NaN \n", - "coef_high_income_group_and_discretionary_tour 0.0 NaN \n", - "coef_high_income_group_and_eating_out_tour 0.0 NaN \n", - "coef_high_income_group_and_maintenance_tour 0.0 NaN \n", - "coef_high_income_group_and_shopping_tour 0.0 NaN \n", - "coef_high_income_group_and_visiting_tour 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_mediumhigh_income_group_and_discretionary_... 0.0 NaN \n", - "coef_mediumlow_income_group_and_discretionary_tour 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_1 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_i... 0.0 -999.0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_presence_of_driving_school_kid_and_discret... 0.0 NaN \n", - "coef_presence_of_driving_school_kid_and_eating_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_pre_driving_school_kid_and_eat... 0.0 NaN \n", - "coef_presence_of_pre_school_kid_and_eating_out_... 0.0 NaN \n", - "coef_presence_of_predriving_school_kid_in_house... 0.0 NaN \n", - "coef_presence_of_predriving_school_kid_in_house... 0.0 NaN \n", - "coef_presence_of_university_student_and_discret... 0.0 NaN \n", - "coef_total_number_of_tours_is_1 0.0 NaN \n", - "coef_total_number_of_tours_is_2 0.0 NaN \n", - "coef_total_number_of_tours_is_3 0.0 NaN \n", - "coef_urban_and_discretionary_tour 0.0 0.0 \n", - "coef_urban_and_maintenance_tour 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0000 -20.0 \n", + "coef_1_escort_tour_constant -0.4934 -20.0 \n", + "coef_1_plus_eating_out_tours_constant -0.0242 -20.0 \n", + "coef_1_plus_maintenance_tours_constant -0.4344 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant -0.2602 -20.0 \n", + "coef_1_plus_shopping_tours_constant 0.5320 -20.0 \n", + "coef_1_plus_visting_tours_constant 0.2367 -20.0 \n", + "coef_2_plus_escort_tours_constant 1.4155 -20.0 \n", + "coef_auto_access_to_retail_and_tour_frequency_i... 0.1004 -20.0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... -0.6369 -20.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0.2902 -20.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 2.0352 -20.0 \n", + "coef_high_income_group_and_discretionary_tour 2.3270 -20.0 \n", + "coef_high_income_group_and_eating_out_tour 0.4916 -20.0 \n", + "coef_high_income_group_and_maintenance_tour 0.3982 -20.0 \n", + "coef_high_income_group_and_shopping_tour 0.2443 -20.0 \n", + "coef_high_income_group_and_visiting_tour 0.2858 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.3298 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.3759 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 3.2808 -20.0 \n", + "coef_mediumhigh_income_group_and_discretionary_... 1.4050 -20.0 \n", + "coef_mediumlow_income_group_and_discretionary_tour 0.9169 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_1 -0.2162 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -0.3587 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 -4.2701 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0000 -999.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -0.2340 -20.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -0.9231 -20.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -6.5835 -20.0 \n", + "coef_presence_of_driving_school_kid_and_discret... -0.9202 -20.0 \n", + "coef_presence_of_driving_school_kid_and_eating_... -0.6377 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... -0.6571 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... -1.4044 -20.0 \n", + "coef_presence_of_pre_driving_school_kid_and_eat... -1.5698 -20.0 \n", + "coef_presence_of_pre_school_kid_and_eating_out_... -0.2987 -20.0 \n", + "coef_presence_of_predriving_school_kid_in_house... -0.3219 -20.0 \n", + "coef_presence_of_predriving_school_kid_in_house... -1.0874 -20.0 \n", + "coef_presence_of_university_student_and_discret... -1.2834 -20.0 \n", + "coef_total_number_of_tours_is_1 -7.1506 -20.0 \n", + "coef_total_number_of_tours_is_2 -11.1214 -20.0 \n", + "coef_total_number_of_tours_is_3 -13.1750 -20.0 \n", + "coef_urban_and_discretionary_tour 0.0000 0.0 \n", + "coef_urban_and_maintenance_tour 1.0394 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour NaN 0 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "coef_1_plus_shopping_tours_constant NaN 0 \n", - "coef_1_plus_visting_tours_constant NaN 0 \n", - "coef_2_plus_escort_tours_constant NaN 0 \n", - "coef_auto_access_to_retail_and_tour_frequency_i... NaN 0 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... NaN 0 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... NaN 0 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... NaN 0 \n", - "coef_high_income_group_and_discretionary_tour NaN 0 \n", - "coef_high_income_group_and_eating_out_tour NaN 0 \n", - "coef_high_income_group_and_maintenance_tour NaN 0 \n", - "coef_high_income_group_and_shopping_tour NaN 0 \n", - "coef_high_income_group_and_visiting_tour NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_mediumhigh_income_group_and_discretionary_... NaN 0 \n", - "coef_mediumlow_income_group_and_discretionary_tour NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_1 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 1 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_presence_of_driving_school_kid_and_discret... NaN 0 \n", - "coef_presence_of_driving_school_kid_and_eating_... NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_pre_driving_school_kid_and_eat... NaN 0 \n", - "coef_presence_of_pre_school_kid_and_eating_out_... NaN 0 \n", - "coef_presence_of_predriving_school_kid_in_house... NaN 0 \n", - "coef_presence_of_predriving_school_kid_in_house... NaN 0 \n", - "coef_presence_of_university_student_and_discret... NaN 0 \n", - "coef_total_number_of_tours_is_1 NaN 0 \n", - "coef_total_number_of_tours_is_2 NaN 0 \n", - "coef_total_number_of_tours_is_3 NaN 0 \n", - "coef_urban_and_discretionary_tour 0.0 1 \n", - "coef_urban_and_maintenance_tour NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 20.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "coef_1_plus_shopping_tours_constant 20.0 0.0 \n", + "coef_1_plus_visting_tours_constant 20.0 0.0 \n", + "coef_2_plus_escort_tours_constant 20.0 0.0 \n", + "coef_auto_access_to_retail_and_tour_frequency_i... 20.0 0.0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... 20.0 0.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 20.0 0.0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 20.0 0.0 \n", + "coef_high_income_group_and_discretionary_tour 20.0 0.0 \n", + "coef_high_income_group_and_eating_out_tour 20.0 0.0 \n", + "coef_high_income_group_and_maintenance_tour 20.0 0.0 \n", + "coef_high_income_group_and_shopping_tour 20.0 0.0 \n", + "coef_high_income_group_and_visiting_tour 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_discretionary_... 20.0 0.0 \n", + "coef_mediumlow_income_group_and_discretionary_tour 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_1 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_presence_of_driving_school_kid_and_discret... 20.0 0.0 \n", + "coef_presence_of_driving_school_kid_and_eating_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_pre_driving_school_kid_and_eat... 20.0 0.0 \n", + "coef_presence_of_pre_school_kid_and_eating_out_... 20.0 0.0 \n", + "coef_presence_of_predriving_school_kid_in_house... 20.0 0.0 \n", + "coef_presence_of_predriving_school_kid_in_house... 20.0 0.0 \n", + "coef_presence_of_university_student_and_discret... 20.0 0.0 \n", + "coef_total_number_of_tours_is_1 20.0 0.0 \n", + "coef_total_number_of_tours_is_2 20.0 0.0 \n", + "coef_total_number_of_tours_is_3 20.0 0.0 \n", + "coef_urban_and_discretionary_tour 0.0 0.0 \n", + "coef_urban_and_maintenance_tour 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -289.819438 \n", - "coef_1_escort_tour_constant -6434.961317 \n", - "coef_1_plus_eating_out_tours_constant -3885.411913 \n", - "coef_1_plus_maintenance_tours_constant -1195.807014 \n", - "coef_1_plus_other_discretionary_tours_constant -2406.806121 \n", - "coef_1_plus_shopping_tours_constant -2389.305945 \n", - "coef_1_plus_visting_tours_constant -2389.305996 \n", - "coef_2_plus_escort_tours_constant -5667.685401 \n", - "coef_auto_access_to_retail_and_tour_frequency_i... -44.188373 \n", - "coef_car_shortage_vs_workers_and_tour_frequency... -17232.832071 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... -4035.619542 \n", - "coef_car_surplus_vs_workers_and_tour_frequency_... 15225.992542 \n", - "coef_high_income_group_and_discretionary_tour 4481.084393 \n", - "coef_high_income_group_and_eating_out_tour -3157.273834 \n", - "coef_high_income_group_and_maintenance_tour 4461.484862 \n", - "coef_high_income_group_and_shopping_tour 4461.390803 \n", - "coef_high_income_group_and_visiting_tour 4461.390852 \n", - "coef_logged_maximum_residual_window_tour_freque... 16.594329 \n", - "coef_logged_maximum_residual_window_tour_freque... -19742.937757 \n", - "coef_logged_maximum_residual_window_tour_freque... -11491.665678 \n", - "coef_mediumhigh_income_group_and_discretionary_... 572.847509 \n", - "coef_mediumlow_income_group_and_discretionary_tour -4429.942211 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_1 -4180.353968 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -1606.502880 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_3 -109.819329 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -16877.023970 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 12620.764595 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -4861.997912 \n", - "coef_presence_of_driving_school_kid_and_discret... -578.872073 \n", - "coef_presence_of_driving_school_kid_and_eating_... 6.381728 \n", - "coef_presence_of_non_worker_and_tour_frequency_... 878.008827 \n", - "coef_presence_of_non_worker_and_tour_frequency_... -1944.922644 \n", - "coef_presence_of_pre_driving_school_kid_and_eat... -164.906255 \n", - "coef_presence_of_pre_school_kid_and_eating_out_... 313.476309 \n", - "coef_presence_of_predriving_school_kid_in_house... 4033.566871 \n", - "coef_presence_of_predriving_school_kid_in_house... 10149.331976 \n", - "coef_presence_of_university_student_and_discret... 3906.378403 \n", - "coef_total_number_of_tours_is_1 15200.662337 \n", - "coef_total_number_of_tours_is_2 -1638.556186 \n", - "coef_total_number_of_tours_is_3 -14010.608324 \n", - "coef_urban_and_discretionary_tour 0.000000 \n", - "coef_urban_and_maintenance_tour -1194.333214 " + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 0 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "coef_1_plus_shopping_tours_constant 0 \n", + "coef_1_plus_visting_tours_constant 0 \n", + "coef_2_plus_escort_tours_constant 0 \n", + "coef_auto_access_to_retail_and_tour_frequency_i... 0 \n", + "coef_car_shortage_vs_workers_and_tour_frequency... 0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0 \n", + "coef_car_surplus_vs_workers_and_tour_frequency_... 0 \n", + "coef_high_income_group_and_discretionary_tour 0 \n", + "coef_high_income_group_and_eating_out_tour 0 \n", + "coef_high_income_group_and_maintenance_tour 0 \n", + "coef_high_income_group_and_shopping_tour 0 \n", + "coef_high_income_group_and_visiting_tour 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_mediumhigh_income_group_and_discretionary_... 0 \n", + "coef_mediumlow_income_group_and_discretionary_tour 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_1 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_3 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... 1 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_presence_of_driving_school_kid_and_discret... 0 \n", + "coef_presence_of_driving_school_kid_and_eating_... 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_pre_driving_school_kid_and_eat... 0 \n", + "coef_presence_of_pre_school_kid_and_eating_out_... 0 \n", + "coef_presence_of_predriving_school_kid_in_house... 0 \n", + "coef_presence_of_predriving_school_kid_in_house... 0 \n", + "coef_presence_of_university_student_and_discret... 0 \n", + "coef_total_number_of_tours_is_1 0 \n", + "coef_total_number_of_tours_is_2 0 \n", + "coef_total_number_of_tours_is_3 0 \n", + "coef_urban_and_discretionary_tour 1 \n", + "coef_urban_and_maintenance_tour 0 " ] }, "metadata": {}, @@ -4018,26 +9023,456 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 0.0 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 14 parameter estimators with negative variance\n", - "- coef_1_plus_maintenance_tours_constant\n", - "- coef_1_plus_other_discretionary_tours_constant\n", - "- coef_1_plus_shopping_tours_constant\n", - "- coef_1_plus_visting_tours_constant\n", - "- and 10 more\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - 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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.36 3.76-0.63 0.00
coef_1_escort_tour_constant-0.592 NA NA 0.00
coef_1_plus_eating_out_tours_constant-0.531 NA NA 0.00
coef_1_plus_maintenance_tours_constant-0.479 NA NA 0.00
coef_1_plus_other_discretionary_tours_constant 0.0751 NA NA 0.00
coef_1_plus_shopping_tours_constant 0.278 NA NA 0.00
coef_1_plus_visting_tours_constant 0.0747 NA NA 0.00
coef_2_plus_escort_tours_constant 0.539 NA NA 0.00
coef_auto_access_to_retail_and_tour_frequency_is_5_plus 0.121 0.110 1.10 0.00
coef_car_shortage_vs_workers_and_tour_frequency_is_5_plus-0.896 0.225-3.98*** 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_1 0.385 0.160 2.40* 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus 1.92 0.421 4.55*** 0.00
coef_high_income_group_and_discretionary_tour 1.97 0.433 4.56*** 0.00
coef_high_income_group_and_eating_out_tour 1.12 0.412 2.71** 0.00
coef_high_income_group_and_maintenance_tour 0.536 0.283 1.89 0.00
coef_high_income_group_and_shopping_tour 0.298 0.256 1.17 0.00
coef_high_income_group_and_visiting_tour 0.657 0.266 2.47* 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 1.84 0.280 6.58*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_2 2.75 0.544 5.05*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 3.21 3.57 0.90 0.00
coef_mediumhigh_income_group_and_discretionary_tour 0.786 0.459 1.71 0.00
coef_mediumlow_income_group_and_discretionary_tour 0.716 0.472 1.52 0.00
coef_number_of_joint_tours_and_tour_frequency_is_1-0.0765 0.227-0.34 0.00
coef_number_of_joint_tours_and_tour_frequency_is_2-2.35 1.41-1.66 0.00
coef_number_of_joint_tours_and_tour_frequency_is_3-4.95 10.5-0.47 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_number_of_mandatory_tours_and_tour_frequency_is_1-0.717 0.256-2.80** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_2-2.89 1.19-2.44* 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_3-6.49 8.76-0.74 0.00
coef_presence_of_driving_school_kid_and_discretionary_tour-0.826 0.330-2.50* 0.00
coef_presence_of_driving_school_kid_and_eating_out_tour-0.606 0.545-1.11 0.00
coef_presence_of_non_worker_and_tour_frequency_is_2-0.269 0.382-0.70 0.00
coef_presence_of_non_worker_and_tour_frequency_is_5-3.18 2.64-1.21 0.00
coef_presence_of_pre_driving_school_kid_and_eating_out_tour-1.45 0.500-2.90** 0.00
coef_presence_of_pre_school_kid_and_eating_out_tour-1.80 1.09-1.65 0.00
coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_1-0.395 0.149-2.65** 0.00
coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5-1.99 0.501-3.96*** 0.00
coef_presence_of_university_student_and_discretionary_tour-1.66 0.377-4.42*** 0.00
coef_total_number_of_tours_is_1-7.92 NA NA 0.00
coef_total_number_of_tours_is_2-11.9 NA NA 0.00
coef_total_number_of_tours_is_3-13.2 NA NA 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_urban_and_maintenance_tour 1.13 0.259 4.36*** 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_SCHOOL\n" ] }, { "data": { "text/html": [ - "

Iteration 037 [Optimization terminated successfully]

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Iteration 055 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -4049,7 +9484,7 @@ { "data": { "text/html": [ - "

Best LL = -256.78783276592117

" + "

Best LL = -5118.870584262372

" ], "text/plain": [ "" @@ -4080,538 +9515,517 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", + " -2.000000\n", " -2.0000\n", - " 0.0\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " -1.572081\n", + " -0.710427\n", + " -0.710427\n", " -0.7551\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.572081\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " -2.222210\n", + " 1.267594\n", + " 1.267594\n", " 1.1145\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.222210\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " -1.497135\n", + " -0.580534\n", + " -0.580534\n", " -0.5060\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.497135\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " 0.090818\n", + " 0.614538\n", + " 0.614538\n", " 0.4634\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.090818\n", " \n", " \n", " coef_1_plus_shopping_tours_constant\n", - " 1.474688\n", + " 1.037830\n", + " 1.037830\n", " 0.4783\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.474688\n", " \n", " \n", " coef_1_plus_visting_tours_constant\n", - " -1.792608\n", + " -0.445905\n", + " -0.445905\n", " -0.4006\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.792608\n", " \n", " \n", " coef_2_plus_escort_tours_constant\n", - " -2.059623\n", + " -0.076053\n", + " -0.076053\n", " -0.0086\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -2.059623\n", " \n", " \n", " coef_auto_access_to_retail_and_escorting\n", - " 0.555108\n", + " 0.063236\n", + " 0.063236\n", " 0.0629\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.555108\n", " \n", " \n", " coef_high_income_group_and_eating_out_tour\n", - " -1.361980\n", + " -0.810212\n", + " -0.810212\n", " -0.7010\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.361980\n", " \n", " \n", " coef_high_income_group_and_shopping_tour\n", - " -3.736670\n", + " -0.945693\n", + " -0.945693\n", " -0.6506\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -3.736670\n", " \n", " \n", " coef_high_income_group_and_tour_frequency_is_5_plus\n", - " 16.017262\n", + " 2.304674\n", + " 2.304674\n", " 2.0175\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 16.017262\n", " \n", " \n", " coef_logged_maximum_residual_window_tour_frequency_is_5_plus\n", - " 1.526025\n", + " 1.353636\n", + " 1.353636\n", " 1.5603\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.526025\n", " \n", " \n", " coef_mediumhigh_income_group_and_tour_frequency_is_5_plus\n", - " 15.096814\n", + " 1.811428\n", + " 1.811428\n", " 1.5197\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 15.096814\n", " \n", " \n", " coef_mediumlow_income_group_and_tour_frequency_is_5_plus\n", - " 14.227759\n", + " 1.143302\n", + " 1.143302\n", " 1.0873\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 14.227759\n", " \n", " \n", " coef_number_of_joint_maintenance_tours\n", " -1.347600\n", + " -1.347600\n", " -1.3476\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.347600\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_2\n", - " -1.197115\n", + " -0.540183\n", + " -0.540183\n", " -0.6149\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.197115\n", " \n", " \n", " coef_number_of_joint_tours_and_tour_frequency_is_5_plus\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", - " 0.0\n", " -999.0\n", " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_1\n", - " -9.889679\n", + " -1.256737\n", + " -1.256737\n", " -1.0331\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -9.889679\n", " \n", " \n", " coef_number_of_mandatory_tours_and_tour_frequency_is_3\n", - " -10.675107\n", + " -3.162364\n", + " -3.162364\n", " -2.7445\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -10.675107\n", " \n", " \n", " coef_presence_of_full_time_worker_and_discretionary_tour\n", - " 0.167217\n", + " 0.646457\n", + " 0.646457\n", " 0.7526\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.167217\n", " \n", " \n", " coef_presence_of_non_worker_and_eating_out_tour\n", - " -1.295662\n", + " -1.533575\n", + " -1.533575\n", " -1.3074\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.295662\n", " \n", " \n", " coef_presence_of_non_worker_and_shopping_tour\n", - " -1.353670\n", + " -0.760303\n", + " -0.760303\n", " -0.6450\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.353670\n", " \n", " \n", " coef_presence_of_non_worker_and_tour_frequency_is_5\n", - " -0.434686\n", + " 0.353557\n", + " 0.353557\n", " 0.2177\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.434686\n", " \n", " \n", " coef_presence_of_part_time_worker_and_discretionary_tour\n", - " -0.342155\n", + " 0.436183\n", + " 0.436183\n", " 0.3721\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.342155\n", " \n", " \n", " coef_presence_of_pre_driving_school_kid_and_shopping_tour\n", - " 1.415379\n", + " 0.745895\n", + " 0.745895\n", " 0.9365\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.415379\n", " \n", " \n", " coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5\n", - " 0.290181\n", + " -0.086497\n", + " -0.086497\n", " -0.2264\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.290181\n", " \n", " \n", " coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5\n", - " 0.328944\n", + " -0.357691\n", + " -0.357691\n", " -0.4439\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.328944\n", " \n", " \n", " coef_total_number_of_tours_is_1\n", - " -11.291182\n", + " -7.203758\n", + " -7.203758\n", " -7.4863\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -11.291182\n", " \n", " \n", " coef_total_number_of_tours_is_2\n", - " -13.228339\n", + " -10.489540\n", + " -10.489540\n", " -10.7180\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -13.228339\n", " \n", " \n", " coef_total_number_of_tours_is_3\n", - " -14.184905\n", + " -13.816990\n", + " -13.816990\n", " -13.7884\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -14.184905\n", " \n", " \n", " coef_urban_and_discretionary_tour\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_urban_and_escorting_tour\n", - " -4.483827\n", + " 0.728596\n", + " 0.728596\n", " 0.4352\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.483827\n", " \n", " \n", " coef_walk_access_to_retail_and_eating_out\n", - " 0.400103\n", + " 0.099568\n", + " 0.099568\n", " 0.0738\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.400103\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant -1.572081 -0.7551 \n", - "coef_1_plus_eating_out_tours_constant -2.222210 1.1145 \n", - "coef_1_plus_maintenance_tours_constant -1.497135 -0.5060 \n", - "coef_1_plus_other_discretionary_tours_constant 0.090818 0.4634 \n", - "coef_1_plus_shopping_tours_constant 1.474688 0.4783 \n", - "coef_1_plus_visting_tours_constant -1.792608 -0.4006 \n", - "coef_2_plus_escort_tours_constant -2.059623 -0.0086 \n", - "coef_auto_access_to_retail_and_escorting 0.555108 0.0629 \n", - "coef_high_income_group_and_eating_out_tour -1.361980 -0.7010 \n", - "coef_high_income_group_and_shopping_tour -3.736670 -0.6506 \n", - "coef_high_income_group_and_tour_frequency_is_5_... 16.017262 2.0175 \n", - "coef_logged_maximum_residual_window_tour_freque... 1.526025 1.5603 \n", - "coef_mediumhigh_income_group_and_tour_frequency... 15.096814 1.5197 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 14.227759 1.0873 \n", - "coef_number_of_joint_maintenance_tours -1.347600 -1.3476 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -1.197115 -0.6149 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.0000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -9.889679 -1.0331 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -10.675107 -2.7445 \n", - "coef_presence_of_full_time_worker_and_discretio... 0.167217 0.7526 \n", - "coef_presence_of_non_worker_and_eating_out_tour -1.295662 -1.3074 \n", - "coef_presence_of_non_worker_and_shopping_tour -1.353670 -0.6450 \n", - "coef_presence_of_non_worker_and_tour_frequency_... -0.434686 0.2177 \n", - "coef_presence_of_part_time_worker_and_discretio... -0.342155 0.3721 \n", - "coef_presence_of_pre_driving_school_kid_and_sho... 1.415379 0.9365 \n", - "coef_presence_of_predriving_school_kid_in_house... 0.290181 -0.2264 \n", - "coef_presence_of_preschool_kid_in_household_and... 0.328944 -0.4439 \n", - "coef_total_number_of_tours_is_1 -11.291182 -7.4863 \n", - "coef_total_number_of_tours_is_2 -13.228339 -10.7180 \n", - "coef_total_number_of_tours_is_3 -14.184905 -13.7884 \n", - "coef_urban_and_discretionary_tour 0.000000 0.0000 \n", - "coef_urban_and_escorting_tour -4.483827 0.4352 \n", - "coef_walk_access_to_retail_and_eating_out 0.400103 0.0738 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant -0.710427 -0.710427 \n", + "coef_1_plus_eating_out_tours_constant 1.267594 1.267594 \n", + "coef_1_plus_maintenance_tours_constant -0.580534 -0.580534 \n", + "coef_1_plus_other_discretionary_tours_constant 0.614538 0.614538 \n", + "coef_1_plus_shopping_tours_constant 1.037830 1.037830 \n", + "coef_1_plus_visting_tours_constant -0.445905 -0.445905 \n", + "coef_2_plus_escort_tours_constant -0.076053 -0.076053 \n", + "coef_auto_access_to_retail_and_escorting 0.063236 0.063236 \n", + "coef_high_income_group_and_eating_out_tour -0.810212 -0.810212 \n", + "coef_high_income_group_and_shopping_tour -0.945693 -0.945693 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 2.304674 2.304674 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.353636 1.353636 \n", + "coef_mediumhigh_income_group_and_tour_frequency... 1.811428 1.811428 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 1.143302 1.143302 \n", + "coef_number_of_joint_maintenance_tours -1.347600 -1.347600 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -0.540183 -0.540183 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 -999.000000 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -1.256737 -1.256737 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -3.162364 -3.162364 \n", + "coef_presence_of_full_time_worker_and_discretio... 0.646457 0.646457 \n", + "coef_presence_of_non_worker_and_eating_out_tour -1.533575 -1.533575 \n", + "coef_presence_of_non_worker_and_shopping_tour -0.760303 -0.760303 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.353557 0.353557 \n", + "coef_presence_of_part_time_worker_and_discretio... 0.436183 0.436183 \n", + "coef_presence_of_pre_driving_school_kid_and_sho... 0.745895 0.745895 \n", + "coef_presence_of_predriving_school_kid_in_house... -0.086497 -0.086497 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.357691 -0.357691 \n", + "coef_total_number_of_tours_is_1 -7.203758 -7.203758 \n", + "coef_total_number_of_tours_is_2 -10.489540 -10.489540 \n", + "coef_total_number_of_tours_is_3 -13.816990 -13.816990 \n", + "coef_urban_and_discretionary_tour 0.000000 0.000000 \n", + "coef_urban_and_escorting_tour 0.728596 0.728596 \n", + "coef_walk_access_to_retail_and_eating_out 0.099568 0.099568 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", - "coef_1_plus_shopping_tours_constant 0.0 NaN \n", - "coef_1_plus_visting_tours_constant 0.0 NaN \n", - "coef_2_plus_escort_tours_constant 0.0 NaN \n", - "coef_auto_access_to_retail_and_escorting 0.0 NaN \n", - "coef_high_income_group_and_eating_out_tour 0.0 NaN \n", - "coef_high_income_group_and_shopping_tour 0.0 NaN \n", - "coef_high_income_group_and_tour_frequency_is_5_... 0.0 NaN \n", - "coef_logged_maximum_residual_window_tour_freque... 0.0 NaN \n", - "coef_mediumhigh_income_group_and_tour_frequency... 0.0 NaN \n", - "coef_mediumlow_income_group_and_tour_frequency_... 0.0 NaN \n", - "coef_number_of_joint_maintenance_tours 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 0.0 NaN \n", - "coef_number_of_joint_tours_and_tour_frequency_i... 0.0 -999.0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_number_of_mandatory_tours_and_tour_frequen... 0.0 NaN \n", - "coef_presence_of_full_time_worker_and_discretio... 0.0 NaN \n", - "coef_presence_of_non_worker_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_shopping_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_tour_frequency_... 0.0 NaN \n", - "coef_presence_of_part_time_worker_and_discretio... 0.0 NaN \n", - "coef_presence_of_pre_driving_school_kid_and_sho... 0.0 NaN \n", - "coef_presence_of_predriving_school_kid_in_house... 0.0 NaN \n", - "coef_presence_of_preschool_kid_in_household_and... 0.0 NaN \n", - "coef_total_number_of_tours_is_1 0.0 NaN \n", - "coef_total_number_of_tours_is_2 0.0 NaN \n", - "coef_total_number_of_tours_is_3 0.0 NaN \n", - "coef_urban_and_discretionary_tour 0.0 0.0 \n", - "coef_urban_and_escorting_tour 0.0 NaN \n", - "coef_walk_access_to_retail_and_eating_out 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0000 -2.0 \n", + "coef_1_escort_tour_constant -0.7551 -20.0 \n", + "coef_1_plus_eating_out_tours_constant 1.1145 -20.0 \n", + "coef_1_plus_maintenance_tours_constant -0.5060 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 0.4634 -20.0 \n", + "coef_1_plus_shopping_tours_constant 0.4783 -20.0 \n", + "coef_1_plus_visting_tours_constant -0.4006 -20.0 \n", + "coef_2_plus_escort_tours_constant -0.0086 -20.0 \n", + "coef_auto_access_to_retail_and_escorting 0.0629 -20.0 \n", + "coef_high_income_group_and_eating_out_tour -0.7010 -20.0 \n", + "coef_high_income_group_and_shopping_tour -0.6506 -20.0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 2.0175 -20.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 1.5603 -20.0 \n", + "coef_mediumhigh_income_group_and_tour_frequency... 1.5197 -20.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 1.0873 -20.0 \n", + "coef_number_of_joint_maintenance_tours -1.3476 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 -0.6149 -20.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0000 -999.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -1.0331 -20.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... -2.7445 -20.0 \n", + "coef_presence_of_full_time_worker_and_discretio... 0.7526 -20.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour -1.3074 -20.0 \n", + "coef_presence_of_non_worker_and_shopping_tour -0.6450 -20.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0.2177 -20.0 \n", + "coef_presence_of_part_time_worker_and_discretio... 0.3721 -20.0 \n", + "coef_presence_of_pre_driving_school_kid_and_sho... 0.9365 -20.0 \n", + "coef_presence_of_predriving_school_kid_in_house... -0.2264 -20.0 \n", + "coef_presence_of_preschool_kid_in_household_and... -0.4439 -20.0 \n", + "coef_total_number_of_tours_is_1 -7.4863 -20.0 \n", + "coef_total_number_of_tours_is_2 -10.7180 -20.0 \n", + "coef_total_number_of_tours_is_3 -13.7884 -20.0 \n", + "coef_urban_and_discretionary_tour 0.0000 0.0 \n", + "coef_urban_and_escorting_tour 0.4352 -20.0 \n", + "coef_walk_access_to_retail_and_eating_out 0.0738 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "coef_1_plus_shopping_tours_constant NaN 0 \n", - "coef_1_plus_visting_tours_constant NaN 0 \n", - "coef_2_plus_escort_tours_constant NaN 0 \n", - "coef_auto_access_to_retail_and_escorting NaN 0 \n", - "coef_high_income_group_and_eating_out_tour NaN 0 \n", - "coef_high_income_group_and_shopping_tour NaN 0 \n", - "coef_high_income_group_and_tour_frequency_is_5_... NaN 0 \n", - "coef_logged_maximum_residual_window_tour_freque... NaN 0 \n", - "coef_mediumhigh_income_group_and_tour_frequency... NaN 0 \n", - "coef_mediumlow_income_group_and_tour_frequency_... NaN 0 \n", - "coef_number_of_joint_maintenance_tours NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 NaN 0 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 1 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... NaN 0 \n", - "coef_presence_of_full_time_worker_and_discretio... NaN 0 \n", - "coef_presence_of_non_worker_and_eating_out_tour NaN 0 \n", - "coef_presence_of_non_worker_and_shopping_tour NaN 0 \n", - "coef_presence_of_non_worker_and_tour_frequency_... NaN 0 \n", - "coef_presence_of_part_time_worker_and_discretio... NaN 0 \n", - "coef_presence_of_pre_driving_school_kid_and_sho... NaN 0 \n", - "coef_presence_of_predriving_school_kid_in_house... NaN 0 \n", - "coef_presence_of_preschool_kid_in_household_and... NaN 0 \n", - "coef_total_number_of_tours_is_1 NaN 0 \n", - "coef_total_number_of_tours_is_2 NaN 0 \n", - "coef_total_number_of_tours_is_3 NaN 0 \n", - "coef_urban_and_discretionary_tour 0.0 1 \n", - "coef_urban_and_escorting_tour NaN 0 \n", - "coef_walk_access_to_retail_and_eating_out NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "coef_1_plus_shopping_tours_constant 20.0 0.0 \n", + "coef_1_plus_visting_tours_constant 20.0 0.0 \n", + "coef_2_plus_escort_tours_constant 20.0 0.0 \n", + "coef_auto_access_to_retail_and_escorting 20.0 0.0 \n", + "coef_high_income_group_and_eating_out_tour 20.0 0.0 \n", + "coef_high_income_group_and_shopping_tour 20.0 0.0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 20.0 0.0 \n", + "coef_logged_maximum_residual_window_tour_freque... 20.0 0.0 \n", + "coef_mediumhigh_income_group_and_tour_frequency... 20.0 0.0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 20.0 0.0 \n", + "coef_number_of_joint_maintenance_tours 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 20.0 0.0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... -999.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 20.0 0.0 \n", + "coef_presence_of_full_time_worker_and_discretio... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_shopping_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 20.0 0.0 \n", + "coef_presence_of_part_time_worker_and_discretio... 20.0 0.0 \n", + "coef_presence_of_pre_driving_school_kid_and_sho... 20.0 0.0 \n", + "coef_presence_of_predriving_school_kid_in_house... 20.0 0.0 \n", + "coef_presence_of_preschool_kid_in_household_and... 20.0 0.0 \n", + "coef_total_number_of_tours_is_1 20.0 0.0 \n", + "coef_total_number_of_tours_is_2 20.0 0.0 \n", + "coef_total_number_of_tours_is_3 20.0 0.0 \n", + "coef_urban_and_discretionary_tour 0.0 0.0 \n", + "coef_urban_and_escorting_tour 20.0 0.0 \n", + "coef_walk_access_to_retail_and_eating_out 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant -1.572081 \n", - "coef_1_plus_eating_out_tours_constant -2.222210 \n", - "coef_1_plus_maintenance_tours_constant -1.497135 \n", - "coef_1_plus_other_discretionary_tours_constant 0.090818 \n", - "coef_1_plus_shopping_tours_constant 1.474688 \n", - "coef_1_plus_visting_tours_constant -1.792608 \n", - "coef_2_plus_escort_tours_constant -2.059623 \n", - "coef_auto_access_to_retail_and_escorting 0.555108 \n", - "coef_high_income_group_and_eating_out_tour -1.361980 \n", - "coef_high_income_group_and_shopping_tour -3.736670 \n", - "coef_high_income_group_and_tour_frequency_is_5_... 16.017262 \n", - "coef_logged_maximum_residual_window_tour_freque... 1.526025 \n", - "coef_mediumhigh_income_group_and_tour_frequency... 15.096814 \n", - "coef_mediumlow_income_group_and_tour_frequency_... 14.227759 \n", - "coef_number_of_joint_maintenance_tours -1.347600 \n", - "coef_number_of_joint_tours_and_tour_frequency_is_2 -1.197115 \n", - "coef_number_of_joint_tours_and_tour_frequency_i... -999.000000 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -9.889679 \n", - "coef_number_of_mandatory_tours_and_tour_frequen... -10.675107 \n", - "coef_presence_of_full_time_worker_and_discretio... 0.167217 \n", - "coef_presence_of_non_worker_and_eating_out_tour -1.295662 \n", - "coef_presence_of_non_worker_and_shopping_tour -1.353670 \n", - "coef_presence_of_non_worker_and_tour_frequency_... -0.434686 \n", - "coef_presence_of_part_time_worker_and_discretio... -0.342155 \n", - "coef_presence_of_pre_driving_school_kid_and_sho... 1.415379 \n", - "coef_presence_of_predriving_school_kid_in_house... 0.290181 \n", - "coef_presence_of_preschool_kid_in_household_and... 0.328944 \n", - "coef_total_number_of_tours_is_1 -11.291182 \n", - "coef_total_number_of_tours_is_2 -13.228339 \n", - "coef_total_number_of_tours_is_3 -14.184905 \n", - "coef_urban_and_discretionary_tour 0.000000 \n", - "coef_urban_and_escorting_tour -4.483827 \n", - "coef_walk_access_to_retail_and_eating_out 0.400103 " + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "coef_1_plus_shopping_tours_constant 0 \n", + "coef_1_plus_visting_tours_constant 0 \n", + "coef_2_plus_escort_tours_constant 0 \n", + "coef_auto_access_to_retail_and_escorting 0 \n", + "coef_high_income_group_and_eating_out_tour 0 \n", + "coef_high_income_group_and_shopping_tour 0 \n", + "coef_high_income_group_and_tour_frequency_is_5_... 0 \n", + "coef_logged_maximum_residual_window_tour_freque... 0 \n", + "coef_mediumhigh_income_group_and_tour_frequency... 0 \n", + "coef_mediumlow_income_group_and_tour_frequency_... 0 \n", + "coef_number_of_joint_maintenance_tours 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_is_2 0 \n", + "coef_number_of_joint_tours_and_tour_frequency_i... 1 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_number_of_mandatory_tours_and_tour_frequen... 0 \n", + "coef_presence_of_full_time_worker_and_discretio... 0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 0 \n", + "coef_presence_of_non_worker_and_shopping_tour 0 \n", + "coef_presence_of_non_worker_and_tour_frequency_... 0 \n", + "coef_presence_of_part_time_worker_and_discretio... 0 \n", + "coef_presence_of_pre_driving_school_kid_and_sho... 0 \n", + "coef_presence_of_predriving_school_kid_in_house... 0 \n", + "coef_presence_of_preschool_kid_in_household_and... 0 \n", + "coef_total_number_of_tours_is_1 0 \n", + "coef_total_number_of_tours_is_2 0 \n", + "coef_total_number_of_tours_is_3 0 \n", + "coef_urban_and_discretionary_tour 1 \n", + "coef_urban_and_escorting_tour 0 \n", + "coef_walk_access_to_retail_and_eating_out 0 " ] }, "metadata": {}, @@ -4621,24 +10035,375 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.064162929131762e-17 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 3 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_2_plus_escort_tours_constant\n", - "- coef_urban_and_escorting_tour\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant-0.710 191.-0.00 0.00
coef_1_plus_eating_out_tours_constant 1.27 191. 0.01 0.00
coef_1_plus_maintenance_tours_constant-0.581 191.-0.00 0.00
coef_1_plus_other_discretionary_tours_constant 0.615 191. 0.00 0.00
coef_1_plus_shopping_tours_constant 1.04 191. 0.01 0.00
coef_1_plus_visting_tours_constant-0.446 191.-0.00 0.00
coef_2_plus_escort_tours_constant-0.0761 382.-0.00 0.00
coef_auto_access_to_retail_and_escorting 0.0632 0.112 0.56 0.00
coef_high_income_group_and_eating_out_tour-0.810 0.242-3.35*** 0.00
coef_high_income_group_and_shopping_tour-0.946 0.239-3.95*** 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 2.30 0.217 10.62*** 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 1.35 0.147 9.23*** 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_5_plus 1.81 0.217 8.33*** 0.00
coef_mediumlow_income_group_and_tour_frequency_is_5_plus 1.14 0.225 5.08*** 0.00
coef_number_of_joint_maintenance_tours-1.35 NA NA 0.00
coef_number_of_joint_tours_and_tour_frequency_is_2-0.540 0.138-3.92*** 0.00
coef_number_of_joint_tours_and_tour_frequency_is_5_plus-999. 0.00 NA 0.00fixed value
coef_number_of_mandatory_tours_and_tour_frequency_is_1-1.26 0.206-6.10*** 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_3-3.16 0.312-10.14*** 0.00
coef_presence_of_full_time_worker_and_discretionary_tour 0.646 0.148 4.36*** 0.00
coef_presence_of_non_worker_and_eating_out_tour-1.53 0.168-9.11*** 0.00
coef_presence_of_non_worker_and_shopping_tour-0.760 0.151-5.05*** 0.00
coef_presence_of_non_worker_and_tour_frequency_is_5 0.354 0.0883 4.01*** 0.00
coef_presence_of_part_time_worker_and_discretionary_tour 0.436 0.0926 4.71*** 0.00
coef_presence_of_pre_driving_school_kid_and_shopping_tour 0.746 0.150 4.98*** 0.00
coef_presence_of_predriving_school_kid_in_household_and_tour_frequency_is_5-0.0865 0.0791-1.09 0.00
coef_presence_of_preschool_kid_in_household_and_tour_frequency_is_5-0.358 0.0910-3.93*** 0.00
coef_total_number_of_tours_is_1-7.20 191.-0.04 0.00
coef_total_number_of_tours_is_2-10.5 382.-0.03 0.00
coef_total_number_of_tours_is_3-13.8 574.-0.02 0.00
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_urban_and_escorting_tour 0.729 0.147 4.97*** 0.00
coef_walk_access_to_retail_and_eating_out 0.0996 0.0402 2.47* 0.00
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model PTYPE_PRESCHOOL\n" ] }, { "data": { "text/html": [ - "

Iteration 030 [Optimization terminated successfully]

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Iteration 074 [Optimization terminated successfully]

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Best LL = -225.00971520122772

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Best LL = -3515.750312068413

" ], "text/plain": [ "" @@ -4681,403 +10446,391 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_0_auto_household_and_escorting_tour\n", " -2.000000\n", - " -2.0000\n", - " 0.0\n", + " -2.000000\n", + " -2.000000\n", " -2.0\n", " -2.0\n", + " 0.0\n", " 1\n", - " \n", - " -2.000000\n", " \n", " \n", " coef_1_escort_tour_constant\n", - " 0.179651\n", - " 0.3622\n", + " 0.274841\n", + " 0.274841\n", + " 0.362200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.179651\n", " \n", " \n", " coef_1_plus_eating_out_tours_constant\n", - " 0.204827\n", - " 0.9612\n", + " -0.253387\n", + " -0.253387\n", + " 0.961200\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.204827\n", " \n", " \n", " coef_1_plus_maintenance_tours_constant\n", - " 0.073169\n", - " 0.6788\n", + " 0.316648\n", + " 0.316648\n", + " 0.678800\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.073169\n", " \n", " \n", " coef_1_plus_other_discretionary_tours_constant\n", - " 1.133662\n", - " 1.4935\n", + " 1.168896\n", + " 1.168896\n", + " 1.493500\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.133662\n", " \n", " \n", " coef_1_plus_shopping_tours_constant\n", - " 0.785367\n", - " 1.6919\n", + " 1.139680\n", + " 1.139680\n", + " 1.691900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.785367\n", " \n", " \n", " coef_1_plus_visting_tours_constant\n", - " -0.011286\n", - " 0.4424\n", + " 0.059049\n", + " 0.059049\n", + " 0.442400\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.011286\n", " \n", " \n", " coef_2_plus_escort_tours_constant\n", - " 1.744429\n", - " 2.2219\n", + " 1.941139\n", + " 1.941139\n", + " 2.221900\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.744429\n", " \n", " \n", " coef_discretionary_tour\n", - " 0.543162\n", - " 0.9030\n", + " 0.578396\n", + " 0.578396\n", + " 0.903000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.543162\n", " \n", " \n", " coef_escorting_tour\n", - " 1.353509\n", - " 2.4910\n", + " 1.842119\n", + " 1.842119\n", + " 2.491000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.353509\n", " \n", " \n", " coef_maintenance_tour\n", - " 0.416369\n", - " 1.0220\n", + " 0.659848\n", + " 0.659848\n", + " 1.022000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.416369\n", " \n", " \n", " coef_presence_of_full_time_worker_and_escorting_tour\n", - " -0.613492\n", - " -0.8930\n", + " -0.928522\n", + " -0.928522\n", + " -0.893000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.613492\n", " \n", " \n", " coef_presence_of_non_worker_and_discretionary_tour\n", - " 0.013879\n", - " 0.7910\n", + " 0.693868\n", + " 0.693868\n", + " 0.791000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.013879\n", " \n", " \n", " coef_presence_of_non_worker_and_eating_out_tour\n", - " 1.115052\n", - " 1.1570\n", + " 1.549677\n", + " 1.549677\n", + " 1.157000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.115052\n", " \n", " \n", " coef_presence_of_non_worker_and_escorting_tour\n", - " 0.890993\n", - " 0.8900\n", + " 0.960167\n", + " 0.960167\n", + " 0.890000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.890993\n", " \n", " \n", " coef_presence_of_non_worker_and_shopping_tour\n", - " 0.231053\n", - " 0.8080\n", + " 0.669579\n", + " 0.669579\n", + " 0.808000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.231053\n", " \n", " \n", " coef_presence_of_part_time_worker_and_eating_out_tour\n", - " 1.392675\n", - " 1.0370\n", + " 1.135686\n", + " 1.135686\n", + " 1.037000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.392675\n", " \n", " \n", " coef_presence_of_part_time_worker_and_shopping_tour\n", - " 1.044044\n", - " 1.1550\n", + " 1.013348\n", + " 1.013348\n", + " 1.155000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.044044\n", " \n", " \n", " coef_total_number_of_tours_is_1\n", - " -4.436747\n", - " -5.7590\n", + " -4.911268\n", + " -4.911268\n", + " -5.759000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -4.436747\n", " \n", " \n", " coef_total_number_of_tours_is_2\n", - " -9.039558\n", - " -11.5170\n", + " -9.965345\n", + " -9.965345\n", + " -11.517000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -9.039558\n", " \n", " \n", " coef_total_number_of_tours_is_3\n", - " -12.714429\n", - " -17.2760\n", + " -15.118161\n", + " -15.118161\n", + " -17.275999\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -12.714429\n", " \n", " \n", " coef_total_number_of_tours_is_4\n", - " -29.080351\n", - " -23.0350\n", + " -19.999999\n", + " -19.999999\n", + " -23.035000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -29.080351\n", " \n", " \n", " coef_total_number_of_tours_is_6_plus\n", " -999.000000\n", - " -999.0000\n", - " 0.0\n", + " -999.000000\n", + " -999.000000\n", " -999.0\n", " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_urban_and_discretionary_tour\n", " 0.000000\n", - " 0.0000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_visiting_or_social_tour\n", - " 0.315314\n", - " 0.7690\n", + " 0.385649\n", + " 0.385649\n", + " 0.769000\n", + " -20.0\n", + " 20.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.315314\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_0_auto_household_and_escorting_tour -2.000000 -2.0000 \n", - "coef_1_escort_tour_constant 0.179651 0.3622 \n", - "coef_1_plus_eating_out_tours_constant 0.204827 0.9612 \n", - "coef_1_plus_maintenance_tours_constant 0.073169 0.6788 \n", - "coef_1_plus_other_discretionary_tours_constant 1.133662 1.4935 \n", - "coef_1_plus_shopping_tours_constant 0.785367 1.6919 \n", - "coef_1_plus_visting_tours_constant -0.011286 0.4424 \n", - "coef_2_plus_escort_tours_constant 1.744429 2.2219 \n", - "coef_discretionary_tour 0.543162 0.9030 \n", - "coef_escorting_tour 1.353509 2.4910 \n", - "coef_maintenance_tour 0.416369 1.0220 \n", - "coef_presence_of_full_time_worker_and_escorting... -0.613492 -0.8930 \n", - "coef_presence_of_non_worker_and_discretionary_tour 0.013879 0.7910 \n", - "coef_presence_of_non_worker_and_eating_out_tour 1.115052 1.1570 \n", - "coef_presence_of_non_worker_and_escorting_tour 0.890993 0.8900 \n", - "coef_presence_of_non_worker_and_shopping_tour 0.231053 0.8080 \n", - "coef_presence_of_part_time_worker_and_eating_ou... 1.392675 1.0370 \n", - "coef_presence_of_part_time_worker_and_shopping_... 1.044044 1.1550 \n", - "coef_total_number_of_tours_is_1 -4.436747 -5.7590 \n", - "coef_total_number_of_tours_is_2 -9.039558 -11.5170 \n", - "coef_total_number_of_tours_is_3 -12.714429 -17.2760 \n", - "coef_total_number_of_tours_is_4 -29.080351 -23.0350 \n", - "coef_total_number_of_tours_is_6_plus -999.000000 -999.0000 \n", - "coef_urban_and_discretionary_tour 0.000000 0.0000 \n", - "coef_visiting_or_social_tour 0.315314 0.7690 \n", + " value best \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.000000 \n", + "coef_1_escort_tour_constant 0.274841 0.274841 \n", + "coef_1_plus_eating_out_tours_constant -0.253387 -0.253387 \n", + "coef_1_plus_maintenance_tours_constant 0.316648 0.316648 \n", + "coef_1_plus_other_discretionary_tours_constant 1.168896 1.168896 \n", + "coef_1_plus_shopping_tours_constant 1.139680 1.139680 \n", + "coef_1_plus_visting_tours_constant 0.059049 0.059049 \n", + "coef_2_plus_escort_tours_constant 1.941139 1.941139 \n", + "coef_discretionary_tour 0.578396 0.578396 \n", + "coef_escorting_tour 1.842119 1.842119 \n", + "coef_maintenance_tour 0.659848 0.659848 \n", + "coef_presence_of_full_time_worker_and_escorting... -0.928522 -0.928522 \n", + "coef_presence_of_non_worker_and_discretionary_tour 0.693868 0.693868 \n", + "coef_presence_of_non_worker_and_eating_out_tour 1.549677 1.549677 \n", + "coef_presence_of_non_worker_and_escorting_tour 0.960167 0.960167 \n", + "coef_presence_of_non_worker_and_shopping_tour 0.669579 0.669579 \n", + "coef_presence_of_part_time_worker_and_eating_ou... 1.135686 1.135686 \n", + "coef_presence_of_part_time_worker_and_shopping_... 1.013348 1.013348 \n", + "coef_total_number_of_tours_is_1 -4.911268 -4.911268 \n", + "coef_total_number_of_tours_is_2 -9.965345 -9.965345 \n", + "coef_total_number_of_tours_is_3 -15.118161 -15.118161 \n", + "coef_total_number_of_tours_is_4 -19.999999 -19.999999 \n", + "coef_total_number_of_tours_is_6_plus -999.000000 -999.000000 \n", + "coef_urban_and_discretionary_tour 0.000000 0.000000 \n", + "coef_visiting_or_social_tour 0.385649 0.385649 \n", "\n", - " nullvalue minimum \\\n", - "coef_0_auto_household_and_escorting_tour 0.0 -2.0 \n", - "coef_1_escort_tour_constant 0.0 NaN \n", - "coef_1_plus_eating_out_tours_constant 0.0 NaN \n", - "coef_1_plus_maintenance_tours_constant 0.0 NaN \n", - "coef_1_plus_other_discretionary_tours_constant 0.0 NaN \n", - "coef_1_plus_shopping_tours_constant 0.0 NaN \n", - "coef_1_plus_visting_tours_constant 0.0 NaN \n", - "coef_2_plus_escort_tours_constant 0.0 NaN \n", - "coef_discretionary_tour 0.0 NaN \n", - "coef_escorting_tour 0.0 NaN \n", - "coef_maintenance_tour 0.0 NaN \n", - "coef_presence_of_full_time_worker_and_escorting... 0.0 NaN \n", - "coef_presence_of_non_worker_and_discretionary_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_eating_out_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_escorting_tour 0.0 NaN \n", - "coef_presence_of_non_worker_and_shopping_tour 0.0 NaN \n", - "coef_presence_of_part_time_worker_and_eating_ou... 0.0 NaN \n", - "coef_presence_of_part_time_worker_and_shopping_... 0.0 NaN \n", - "coef_total_number_of_tours_is_1 0.0 NaN \n", - "coef_total_number_of_tours_is_2 0.0 NaN \n", - "coef_total_number_of_tours_is_3 0.0 NaN \n", - "coef_total_number_of_tours_is_4 0.0 NaN \n", - "coef_total_number_of_tours_is_6_plus 0.0 -999.0 \n", - "coef_urban_and_discretionary_tour 0.0 0.0 \n", - "coef_visiting_or_social_tour 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.000000 -2.0 \n", + "coef_1_escort_tour_constant 0.362200 -20.0 \n", + "coef_1_plus_eating_out_tours_constant 0.961200 -20.0 \n", + "coef_1_plus_maintenance_tours_constant 0.678800 -20.0 \n", + "coef_1_plus_other_discretionary_tours_constant 1.493500 -20.0 \n", + "coef_1_plus_shopping_tours_constant 1.691900 -20.0 \n", + "coef_1_plus_visting_tours_constant 0.442400 -20.0 \n", + "coef_2_plus_escort_tours_constant 2.221900 -20.0 \n", + "coef_discretionary_tour 0.903000 -20.0 \n", + "coef_escorting_tour 2.491000 -20.0 \n", + "coef_maintenance_tour 1.022000 -20.0 \n", + "coef_presence_of_full_time_worker_and_escorting... -0.893000 -20.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 0.791000 -20.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 1.157000 -20.0 \n", + "coef_presence_of_non_worker_and_escorting_tour 0.890000 -20.0 \n", + "coef_presence_of_non_worker_and_shopping_tour 0.808000 -20.0 \n", + "coef_presence_of_part_time_worker_and_eating_ou... 1.037000 -20.0 \n", + "coef_presence_of_part_time_worker_and_shopping_... 1.155000 -20.0 \n", + "coef_total_number_of_tours_is_1 -5.759000 -20.0 \n", + "coef_total_number_of_tours_is_2 -11.517000 -20.0 \n", + "coef_total_number_of_tours_is_3 -17.275999 -20.0 \n", + "coef_total_number_of_tours_is_4 -23.035000 -20.0 \n", + "coef_total_number_of_tours_is_6_plus -999.000000 -999.0 \n", + "coef_urban_and_discretionary_tour 0.000000 0.0 \n", + "coef_visiting_or_social_tour 0.769000 -20.0 \n", "\n", - " maximum holdfast note \\\n", - "coef_0_auto_household_and_escorting_tour -2.0 1 \n", - "coef_1_escort_tour_constant NaN 0 \n", - "coef_1_plus_eating_out_tours_constant NaN 0 \n", - "coef_1_plus_maintenance_tours_constant NaN 0 \n", - "coef_1_plus_other_discretionary_tours_constant NaN 0 \n", - "coef_1_plus_shopping_tours_constant NaN 0 \n", - "coef_1_plus_visting_tours_constant NaN 0 \n", - "coef_2_plus_escort_tours_constant NaN 0 \n", - "coef_discretionary_tour NaN 0 \n", - "coef_escorting_tour NaN 0 \n", - "coef_maintenance_tour NaN 0 \n", - "coef_presence_of_full_time_worker_and_escorting... NaN 0 \n", - "coef_presence_of_non_worker_and_discretionary_tour NaN 0 \n", - "coef_presence_of_non_worker_and_eating_out_tour NaN 0 \n", - "coef_presence_of_non_worker_and_escorting_tour NaN 0 \n", - "coef_presence_of_non_worker_and_shopping_tour NaN 0 \n", - "coef_presence_of_part_time_worker_and_eating_ou... NaN 0 \n", - "coef_presence_of_part_time_worker_and_shopping_... NaN 0 \n", - "coef_total_number_of_tours_is_1 NaN 0 \n", - "coef_total_number_of_tours_is_2 NaN 0 \n", - "coef_total_number_of_tours_is_3 NaN 0 \n", - "coef_total_number_of_tours_is_4 NaN 0 \n", - "coef_total_number_of_tours_is_6_plus -999.0 1 \n", - "coef_urban_and_discretionary_tour 0.0 1 \n", - "coef_visiting_or_social_tour NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour -2.0 0.0 \n", + "coef_1_escort_tour_constant 20.0 0.0 \n", + "coef_1_plus_eating_out_tours_constant 20.0 0.0 \n", + "coef_1_plus_maintenance_tours_constant 20.0 0.0 \n", + "coef_1_plus_other_discretionary_tours_constant 20.0 0.0 \n", + "coef_1_plus_shopping_tours_constant 20.0 0.0 \n", + "coef_1_plus_visting_tours_constant 20.0 0.0 \n", + "coef_2_plus_escort_tours_constant 20.0 0.0 \n", + "coef_discretionary_tour 20.0 0.0 \n", + "coef_escorting_tour 20.0 0.0 \n", + "coef_maintenance_tour 20.0 0.0 \n", + "coef_presence_of_full_time_worker_and_escorting... 20.0 0.0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_escorting_tour 20.0 0.0 \n", + "coef_presence_of_non_worker_and_shopping_tour 20.0 0.0 \n", + "coef_presence_of_part_time_worker_and_eating_ou... 20.0 0.0 \n", + "coef_presence_of_part_time_worker_and_shopping_... 20.0 0.0 \n", + "coef_total_number_of_tours_is_1 20.0 0.0 \n", + "coef_total_number_of_tours_is_2 20.0 0.0 \n", + "coef_total_number_of_tours_is_3 20.0 0.0 \n", + "coef_total_number_of_tours_is_4 20.0 0.0 \n", + "coef_total_number_of_tours_is_6_plus -999.0 0.0 \n", + "coef_urban_and_discretionary_tour 0.0 0.0 \n", + "coef_visiting_or_social_tour 20.0 0.0 \n", "\n", - " best \n", - "coef_0_auto_household_and_escorting_tour -2.000000 \n", - "coef_1_escort_tour_constant 0.179651 \n", - "coef_1_plus_eating_out_tours_constant 0.204827 \n", - "coef_1_plus_maintenance_tours_constant 0.073169 \n", - "coef_1_plus_other_discretionary_tours_constant 1.133662 \n", - "coef_1_plus_shopping_tours_constant 0.785367 \n", - "coef_1_plus_visting_tours_constant -0.011286 \n", - "coef_2_plus_escort_tours_constant 1.744429 \n", - "coef_discretionary_tour 0.543162 \n", - "coef_escorting_tour 1.353509 \n", - "coef_maintenance_tour 0.416369 \n", - "coef_presence_of_full_time_worker_and_escorting... -0.613492 \n", - "coef_presence_of_non_worker_and_discretionary_tour 0.013879 \n", - "coef_presence_of_non_worker_and_eating_out_tour 1.115052 \n", - "coef_presence_of_non_worker_and_escorting_tour 0.890993 \n", - "coef_presence_of_non_worker_and_shopping_tour 0.231053 \n", - "coef_presence_of_part_time_worker_and_eating_ou... 1.392675 \n", - "coef_presence_of_part_time_worker_and_shopping_... 1.044044 \n", - "coef_total_number_of_tours_is_1 -4.436747 \n", - "coef_total_number_of_tours_is_2 -9.039558 \n", - "coef_total_number_of_tours_is_3 -12.714429 \n", - "coef_total_number_of_tours_is_4 -29.080351 \n", - "coef_total_number_of_tours_is_6_plus -999.000000 \n", - "coef_urban_and_discretionary_tour 0.000000 \n", - "coef_visiting_or_social_tour 0.315314 " + " holdfast \n", + "param_name \n", + "coef_0_auto_household_and_escorting_tour 1 \n", + "coef_1_escort_tour_constant 0 \n", + "coef_1_plus_eating_out_tours_constant 0 \n", + "coef_1_plus_maintenance_tours_constant 0 \n", + "coef_1_plus_other_discretionary_tours_constant 0 \n", + "coef_1_plus_shopping_tours_constant 0 \n", + "coef_1_plus_visting_tours_constant 0 \n", + "coef_2_plus_escort_tours_constant 0 \n", + "coef_discretionary_tour 0 \n", + "coef_escorting_tour 0 \n", + "coef_maintenance_tour 0 \n", + "coef_presence_of_full_time_worker_and_escorting... 0 \n", + "coef_presence_of_non_worker_and_discretionary_tour 0 \n", + "coef_presence_of_non_worker_and_eating_out_tour 0 \n", + "coef_presence_of_non_worker_and_escorting_tour 0 \n", + "coef_presence_of_non_worker_and_shopping_tour 0 \n", + "coef_presence_of_part_time_worker_and_eating_ou... 0 \n", + "coef_presence_of_part_time_worker_and_shopping_... 0 \n", + "coef_total_number_of_tours_is_1 0 \n", + "coef_total_number_of_tours_is_2 0 \n", + "coef_total_number_of_tours_is_3 0 \n", + "coef_total_number_of_tours_is_4 0 \n", + "coef_total_number_of_tours_is_6_plus 1 \n", + "coef_urban_and_discretionary_tour 1 \n", + "coef_visiting_or_social_tour 0 " ] }, "metadata": {}, @@ -5087,873 +10840,307 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " m.estimate(method='SLSQP')\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/linalg/__init__.py:18: UserWarning: minimum eig 2.8528068249273466e-08 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: PossibleOverspecification: WARNING: Model seems to have 14 parameter estimators with negative variance\n", - "- coef_1_escort_tour_constant\n", - "- coef_1_plus_eating_out_tours_constant\n", - "- coef_1_plus_maintenance_tours_constant\n", - "- coef_1_plus_shopping_tours_constant\n", - "- and 10 more\n", - " m.estimate(method='SLSQP')\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_48972/89088409.py:2: RuntimeWarning: invalid value encountered in sqrt\n", - " m.estimate(method='SLSQP')\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] - } - ], - "source": [ - "for k, m in model.items():\n", - " m.estimate(method='SLSQP')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Estimated coefficients" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ + }, { "data": { "text/html": [ "\n", - "\n", + "
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 ValueStd Errt StatSignifLike RatioNull ValueConstrainedValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_0_auto_household_and_escorting_tour-2.00 NA NA NA 0.00fixed value
coef_1_escort_tour_constant 0.319 NA NA[*] 2.36 0.00
coef_1_plus_eating_out_tours_constant-1.01 124.-0.01 NA 0.00
coef_1_plus_maintenance_tours_constant-2.84 124.-0.02 NA 0.00
coef_1_plus_other_discretionary_tours_constant 10.5 123. 0.09 NA 0.00
coef_1_plus_shopping_tours_constant 7.18 124. 0.06 NA 0.00
coef_1_plus_visting_tours_constant-0.321 124.-0.00 NA 0.00
coef_2_plus_escort_tours_constant 0.607 NA NA[] 0.97 0.00
coef_at_home_pre_driving_school_kid_and_escorting_tour-0.926 1.05-0.89 NA 0.00
coef_at_home_pre_school_kid_and_discretionary_tour-0.656 0.743-0.88 NA 0.00
coef_at_home_pre_school_kid_and_escorting_tour-0.793 0.821-0.97 NA 0.00
coef_auto_access_to_retail_and_discretionary-1.05 0.957-1.10 NA 0.00
coef_auto_access_to_retail_and_maintenance 0.279 0.886 0.31 NA 0.00
coef_auto_access_to_retail_and_shopping-0.631 0.855-0.74 NA 0.00
coef_car_surplus_vs_workers_and_tour_frequency_is_5_plus 0.168 0.233 0.72 NA 0.00
coef_female_and_escorting_tour 0.601 0.266 2.26* NA 0.00
coef_female_and_tour_frequency_is_1-0.316 0.137-2.31* NA 0.00
coef_female_and_tour_frequency_is_2-0.583 0.277-2.11* NA 0.00
coef_female_and_tour_frequency_is_5 0.0227 0.671 0.03 NA 0.00
coef_high_income_group_and_discretionary_tour-0.0604 0.241-0.25 NA 0.00
coef_high_income_group_and_eating_out_tour 0.726 0.282 2.58** NA 0.00
coef_high_income_group_and_tour_frequency_is_1 1.14 0.408 2.79** NA 0.00
coef_high_income_group_and_tour_frequency_is_2 2.22 0.869 2.55* NA 0.00
coef_high_income_group_and_tour_frequency_is_5_plus 0.105 1.42 0.07 NA 0.00
coef_high_income_group_and_visiting_tour-0.863 0.350-2.46* NA 0.00
coef_logged_maximum_residual_window_tour_frequency_is_1 1.34 0.232 5.76*** NA 0.00
coef_logged_maximum_residual_window_tour_frequency_is_2 1.43 0.289 4.94*** NA 0.00
coef_logged_maximum_residual_window_tour_frequency_is_5_plus 0.640 1.09 0.59 NA 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_1 1.09 0.394 2.77** NA 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_2 1.81 0.850 2.13* NA 0.00
coef_mediumhigh_income_group_and_tour_frequency_is_5_plus 1.04 1.25 0.83 NA 0.00
coef_number_of_joint_eating_out_tours-9.98 147.-0.07 NA 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_2-1.43 0.489-2.93** NA 0.00
coef_number_of_mandatory_tours_and_tour_frequency_is_5_plus-1.64 2.28-0.72 NA 0.00
coef_presence_of_driving_school_kid_and_discretionary_tour 0.384 0.452 0.85 NA 0.00
coef_presence_of_driving_school_kid_and_escorting_tour-0.211 0.529-0.40 NA 0.00
coef_presence_of_full_time_worker_and_discretionary_tour-0.783 0.222-3.53*** NA 0.00
coef_presence_of_full_time_worker_and_eating_out_tour-0.748 0.221-3.38*** NA 0.00
coef_presence_of_full_time_worker_and_maintenance_tour-0.342 0.271-1.27 NA 0.00
coef_presence_of_full_time_worker_and_shopping_tour-0.631 0.190-3.32*** NA 0.00
coef_presence_of_non_worker_and_discretionary_tour-1.27 0.384-3.30*** NA 0.00
coef_presence_of_non_worker_and_eating_out_tour-0.445 0.327-1.36 NA 0.00
coef_presence_of_non_worker_and_escorting_tour-0.854 0.404-2.11* NA 0.00
coef_presence_of_non_worker_and_maintenance_tour-0.209 0.364-0.58 NA 0.00
coef_presence_of_non_worker_and_shopping_tour-0.844 0.301-2.80** NA 0.00
coef_presence_of_part_time_worker_and_discretionary_tour-0.0412 0.265-0.16 NA 0.00
coef_presence_of_part_time_worker_and_maintenance_tour-0.183 0.328-0.56 NA 0.00
coef_presence_of_part_time_worker_and_shopping_tour-0.149 0.224-0.66 NA 0.00
coef_presence_of_pre_driving_school_kid_and_discretionary_tour-0.126 0.314-0.40 NA 0.00
coef_presence_of_pre_driving_school_kid_and_escorting_tour 1.40 0.268 5.23*** NA 0.00
coef_presence_of_pre_school_kid_and_discretionary_tour-0.0171 0.349-0.05 NA 0.00
coef_presence_of_pre_school_kid_and_eating_out_tour-0.845 0.421-2.01* NA 0.00
coef_presence_of_pre_school_kid_and_escorting_tour 0.748 0.309 2.42* NA 0.00
coef_presence_of_pre_school_kid_and_shopping_tour-0.00614 0.294-0.02 NA 0.00
coef_presence_of_retiree_and_discretionary_tour-0.597 0.461-1.29 NA 0.00
coef_presence_of_retiree_and_eating_out_tour-1.29 0.618-2.08* NA 0.00
coef_presence_of_retiree_and_escorting_tour-12.9 250.-0.05 NA 0.00
coef_presence_of_university_student_and_discretionary_tour-0.407 0.376-1.08 NA 0.00
coef_total_number_of_tours_is_1-7.52 124.-0.06 NA 0.00
coef_total_number_of_tours_is_2-10.1 247.-0.04 NA 0.00
coef_total_number_of_tours_is_3-11.1 371.-0.03 NA 0.00
coef_total_number_of_tours_is_4-12.8 494.-0.03 NA 0.00
coef_total_number_of_tours_is_5-21.8 623.-0.03 NA 0.00
coef_total_number_of_tours_is_6_plus-999. NA NA NA 0.00fixed value
coef_transit_access_to_retail_and_tour_frequency_is_5_plus 0.0745 0.114 0.65 NA 0.00
coef_urban_and_discretionary_tour 0.00 NA NA NA 0.00fixed value
coef_urban_and_escorting_tour-0.409 NA NA[***] 6.54 0.00
coef_walk_access_to_retail_and_discretionary 0.161 0.169 0.95 NA 0.00
coef_walk_access_to_retail_and_eating_out 0.211 0.128 1.65 NA 0.00
coef_walk_access_to_retail_and_escorting-0.105 0.147-0.72 NA 0.00
coef_walk_access_to_retail_and_shopping 0.0302 0.146 0.21 NA 0.00
coef_zero_car_ownership_and_tour_frequency_is_5_plus-0.227 0.175-1.30 NA 0.00coef_0_auto_household_and_escorting_tour-2.00 0.00 NA 0.00fixed value
coef_1_escort_tour_constant 0.275 211. 0.00 0.00
coef_1_plus_eating_out_tours_constant-0.253 0.215-1.18 0.00
coef_1_plus_maintenance_tours_constant 0.317 9.89e+13 0.00 0.00
coef_1_plus_other_discretionary_tours_constant 1.17 2.63e+06 0.00 0.00
coef_1_plus_shopping_tours_constant 1.14 0.0702 16.23*** 0.00
coef_1_plus_visting_tours_constant 0.0590 NA NA 0.00
coef_2_plus_escort_tours_constant 1.94 421. 0.00 0.00
coef_discretionary_tour 0.578 NA NA 0.00
coef_escorting_tour 1.84 212. 0.01 0.00
coef_maintenance_tour 0.660 9.89e+13 0.00 0.00
coef_presence_of_full_time_worker_and_escorting_tour-0.929 0.105-8.82*** 0.00
coef_presence_of_non_worker_and_discretionary_tour 0.694 0.129 5.36*** 0.00
coef_presence_of_non_worker_and_eating_out_tour 1.55 0.222 6.97*** 0.00
coef_presence_of_non_worker_and_escorting_tour 0.960 0.127 7.56*** 0.00
coef_presence_of_non_worker_and_shopping_tour 0.670 0.151 4.44*** 0.00
coef_presence_of_part_time_worker_and_eating_out_tour 1.14 0.195 5.81*** 0.00
coef_presence_of_part_time_worker_and_shopping_tour 1.01 0.142 7.12*** 0.00
coef_total_number_of_tours_is_1-4.91 NA NA 0.00
coef_total_number_of_tours_is_2-9.97 NA NA 0.00
coef_total_number_of_tours_is_3-15.1 0.239-63.27*** 0.00
coef_total_number_of_tours_is_4-20.0 0.00 NA 0.00coef_total_number_of_tours_is_4 ≥ -20.0
coef_total_number_of_tours_is_6_plus-999. 0.00 NA 0.00fixed value
coef_urban_and_discretionary_tour 0.00 0.00 NA 0.00fixed value
coef_visiting_or_social_tour 0.386 NA NA 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 11, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], - "source": [ - "model['PTYPE_FULL'].parameter_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "TojXWivZsx7M" - }, - "source": [ - "# Output Estimation Results" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], "source": [ "from activitysim.estimation.larch import update_coefficients\n", + "\n", "for k, m in model.items():\n", + " print(f\"Model {k}\")\n", + " m.set_cap(20)\n", + " m.estimate(method='SLSQP', maxiter=900)\n", + "\n", + " display(m.parameter_summary())\n", + "\n", " result_dir = data.edb_directory/k/\"estimated\"\n", " update_coefficients(\n", " m, data.coefficients[k], result_dir,\n", " output_file=f\"{modelname}_{k}_coefficients_revised.csv\",\n", " relabel_coef=data.relabel_coef.get(k),\n", - " );" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Write the model estimation report, including coefficient t-statistic and log likelihood" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n", - "/Users/jeffnewman/LocalGit/asim-larch/activitysim-larch/conda-environments/AL-ENV/lib/python3.9/site-packages/larch/util/excel.py:523: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n" - ] - } - ], - "source": [ - "for k, m in model.items():\n", - " result_dir = data.edb_directory/k/\"estimated\"\n", + " )\n", + "\n", " m.to_xlsx(\n", " result_dir/f\"{modelname}_{k}_model_estimation.xlsx\", \n", " data_statistics=False,\n", - " )" + " )\n", + "\n", + " m.release_memory()\n" ] }, { @@ -5967,7 +11154,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -6036,25 +11223,25 @@ " \n", " 205\n", " coef_1_plus_maintenance_tours_constant\n", - " -2.842643\n", + " 0.079776\n", " F\n", " \n", " \n", " 206\n", " coef_1_plus_eating_out_tours_constant\n", - " -1.012856\n", + " 0.047768\n", " F\n", " \n", " \n", " 207\n", " coef_1_plus_visting_tours_constant\n", - " -0.320820\n", + " -0.019022\n", " F\n", " \n", " \n", " 208\n", " coef_1_plus_other_discretionary_tours_constant\n", - " 10.543979\n", + " 0.733799\n", " F\n", " \n", " \n", @@ -6069,23 +11256,23 @@ "" ], "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_escorting_tour 0.000000 T\n", - "1 coef_discretionary_tour 0.000000 T\n", - "2 coef_shopping_tour 0.000000 T\n", - "3 coef_maintenance_tour 0.000000 T\n", - "4 coef_visiting_or_social_tour 0.000000 T\n", - ".. ... ... ...\n", - "205 coef_1_plus_maintenance_tours_constant -2.842643 F\n", - "206 coef_1_plus_eating_out_tours_constant -1.012856 F\n", - "207 coef_1_plus_visting_tours_constant -0.320820 F\n", - "208 coef_1_plus_other_discretionary_tours_constant 10.543979 F\n", - "209 coef_0_auto_household_and_escorting_tour -2.000000 T\n", + " coefficient_name value constrain\n", + "0 coef_escorting_tour 0.000000 T\n", + "1 coef_discretionary_tour 0.000000 T\n", + "2 coef_shopping_tour 0.000000 T\n", + "3 coef_maintenance_tour 0.000000 T\n", + "4 coef_visiting_or_social_tour 0.000000 T\n", + ".. ... ... ...\n", + "205 coef_1_plus_maintenance_tours_constant 0.079776 F\n", + "206 coef_1_plus_eating_out_tours_constant 0.047768 F\n", + "207 coef_1_plus_visting_tours_constant -0.019022 F\n", + "208 coef_1_plus_other_discretionary_tours_constant 0.733799 F\n", + "209 coef_0_auto_household_and_escorting_tour -2.000000 T\n", "\n", "[210 rows x 3 columns]" ] }, - "execution_count": 14, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -6103,7 +11290,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -6117,7 +11304,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.13" + "version": "3.10.15" }, "toc": { "base_numbering": 1, @@ -6135,4 +11322,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +} diff --git a/activitysim/examples/example_estimation/notebooks/16_nonmand_tour_scheduling.ipynb b/activitysim/examples/example_estimation/notebooks/16_nonmand_tour_scheduling.ipynb index 3d7a8214f..522ff71ca 100644 --- a/activitysim/examples/example_estimation/notebooks/16_nonmand_tour_scheduling.ipynb +++ b/activitysim/examples/example_estimation/notebooks/16_nonmand_tour_scheduling.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,28 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_scheduling/tour_scheduling_nonmandatory_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_scheduling/non_mandatory_tour_scheduling_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_scheduling/non_mandatory_tour_scheduling_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/non_mandatory_tour_scheduling/non_mandatory_tour_scheduling_choosers_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"non_mandatory_tour_scheduling\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -256,38 +319,38 @@ " \n", " \n", " \n", - " 0\n", + " 5\n", " util_subsequent_tour_must_start_after_previous...\n", " Subsequent tour must start after previous tour...\n", " (start < end_previous) & (tour_type_num > 1)\n", " coef_subsequent_tour_must_start_after_previous...\n", " \n", " \n", - " 1\n", + " 6\n", " util_free_flow_round_trip_auto_time_shift_effe...\n", " Free-flow round trip auto time shift effects -...\n", " roundtrip_auto_time_to_work * duration\n", " coef_free_flow_round_trip_auto_time_shift_effe...\n", " \n", " \n", - " 2\n", + " 7\n", " util_shopping_tour_departure_shift_effects\n", " Shopping tour - departure shift effects\n", - " (tour_type == 'shopping') * start\n", + " @(_is_shopping) * df.start\n", " coef_shopping_tour_departure_shift_effects\n", " \n", " \n", - " 3\n", + " 8\n", " util_shopping_tour_duration_shift_effects\n", " Shopping tour - duration shift effects\n", - " (tour_type == 'shopping') * duration\n", + " @(_is_shopping) * df.duration\n", " coef_shopping_tour_duration_shift_effects\n", " \n", " \n", - " 4\n", + " 9\n", " util_maintenance_tour_departure_shift_effects\n", " Maintenance tour - departure shift effects\n", - " (tour_type == 'othmaint') * start\n", + " @(_is_othmaint) * df.start\n", " coef_maintenance_tour_departure_shift_effects\n", " \n", " \n", @@ -298,38 +361,38 @@ " ...\n", " \n", " \n", - " 86\n", + " 91\n", " util_escort_tour_duration_constants_4_to_5_hours\n", " Escort Tour Duration Constants -- 4 to 5 hours\n", - " (tour_type == 'escort') & (duration > 3) & (du...\n", + " @(_is_escort) * (df.duration > 3) * (df.durati...\n", " coef_escort_tour_duration_constants_4_to_5_hours\n", " \n", " \n", - " 87\n", + " 92\n", " util_escort_tour_duration_constants_6_to_7_hours\n", " Escort Tour Duration Constants -- 6 to 7 hours\n", - " (tour_type == 'escort') & (duration > 5) & (du...\n", + " @(_is_escort) * (df.duration > 5) * (df.durati...\n", " coef_escort_tour_duration_constants_6_to_7_hours\n", " \n", " \n", - " 88\n", + " 93\n", " util_escort_tour_duration_constants_8_to_10_hours\n", " Escort Tour Duration Constants -- 8 to 10 hours\n", - " (tour_type == 'escort') & (duration > 7) & (du...\n", + " @(_is_escort) * (df.duration > 7) * (df.durati...\n", " coef_escort_tour_duration_constants_8_to_10_hours\n", " \n", " \n", - " 89\n", + " 94\n", " util_escort_tour_duration_constants_11_to_13_h...\n", " Escort Tour Duration Constants -- 11 to 13 hours\n", - " (tour_type == 'escort') & (duration > 10) & (d...\n", + " @(_is_escort) * (df.duration > 10) * (df.durat...\n", " coef_escort_tour_duration_constants_11_to_13_h...\n", " \n", " \n", - " 90\n", + " 95\n", " util_escort_tour_duration_constants_14_to_18_h...\n", " Escort Tour Duration Constants -- 14 to 18 hours\n", - " (tour_type == 'escort') & (duration > 13) & (d...\n", + " @(_is_escort) * (df.duration > 13) * (df.durat...\n", " coef_escort_tour_duration_constants_14_to_18_h...\n", " \n", " \n", @@ -339,56 +402,56 @@ ], "text/plain": [ " Label \\\n", - "0 util_subsequent_tour_must_start_after_previous... \n", - "1 util_free_flow_round_trip_auto_time_shift_effe... \n", - "2 util_shopping_tour_departure_shift_effects \n", - "3 util_shopping_tour_duration_shift_effects \n", - "4 util_maintenance_tour_departure_shift_effects \n", + "5 util_subsequent_tour_must_start_after_previous... \n", + "6 util_free_flow_round_trip_auto_time_shift_effe... \n", + "7 util_shopping_tour_departure_shift_effects \n", + "8 util_shopping_tour_duration_shift_effects \n", + "9 util_maintenance_tour_departure_shift_effects \n", ".. ... \n", - "86 util_escort_tour_duration_constants_4_to_5_hours \n", - "87 util_escort_tour_duration_constants_6_to_7_hours \n", - "88 util_escort_tour_duration_constants_8_to_10_hours \n", - "89 util_escort_tour_duration_constants_11_to_13_h... \n", - "90 util_escort_tour_duration_constants_14_to_18_h... \n", + "91 util_escort_tour_duration_constants_4_to_5_hours \n", + "92 util_escort_tour_duration_constants_6_to_7_hours \n", + "93 util_escort_tour_duration_constants_8_to_10_hours \n", + "94 util_escort_tour_duration_constants_11_to_13_h... \n", + "95 util_escort_tour_duration_constants_14_to_18_h... \n", "\n", " Description \\\n", - "0 Subsequent tour must start after previous tour... \n", - "1 Free-flow round trip auto time shift effects -... \n", - "2 Shopping tour - departure shift effects \n", - "3 Shopping tour - duration shift effects \n", - "4 Maintenance tour - departure shift effects \n", + "5 Subsequent tour must start after previous tour... \n", + "6 Free-flow round trip auto time shift effects -... \n", + "7 Shopping tour - departure shift effects \n", + "8 Shopping tour - duration shift effects \n", + "9 Maintenance tour - departure shift effects \n", ".. ... \n", - "86 Escort Tour Duration Constants -- 4 to 5 hours \n", - "87 Escort Tour Duration Constants -- 6 to 7 hours \n", - "88 Escort Tour Duration Constants -- 8 to 10 hours \n", - "89 Escort Tour Duration Constants -- 11 to 13 hours \n", - "90 Escort Tour Duration Constants -- 14 to 18 hours \n", + "91 Escort Tour Duration Constants -- 4 to 5 hours \n", + "92 Escort Tour Duration Constants -- 6 to 7 hours \n", + "93 Escort Tour Duration Constants -- 8 to 10 hours \n", + "94 Escort Tour Duration Constants -- 11 to 13 hours \n", + "95 Escort Tour Duration Constants -- 14 to 18 hours \n", "\n", " Expression \\\n", - "0 (start < end_previous) & (tour_type_num > 1) \n", - "1 roundtrip_auto_time_to_work * duration \n", - "2 (tour_type == 'shopping') * start \n", - "3 (tour_type == 'shopping') * duration \n", - "4 (tour_type == 'othmaint') * start \n", + "5 (start < end_previous) & (tour_type_num > 1) \n", + "6 roundtrip_auto_time_to_work * duration \n", + "7 @(_is_shopping) * df.start \n", + "8 @(_is_shopping) * df.duration \n", + "9 @(_is_othmaint) * df.start \n", ".. ... \n", - "86 (tour_type == 'escort') & (duration > 3) & (du... \n", - "87 (tour_type == 'escort') & (duration > 5) & (du... \n", - "88 (tour_type == 'escort') & (duration > 7) & (du... \n", - "89 (tour_type == 'escort') & (duration > 10) & (d... \n", - "90 (tour_type == 'escort') & (duration > 13) & (d... \n", + "91 @(_is_escort) * (df.duration > 3) * (df.durati... \n", + "92 @(_is_escort) * (df.duration > 5) * (df.durati... \n", + "93 @(_is_escort) * (df.duration > 7) * (df.durati... \n", + "94 @(_is_escort) * (df.duration > 10) * (df.durat... \n", + "95 @(_is_escort) * (df.duration > 13) * (df.durat... \n", "\n", " Coefficient \n", - "0 coef_subsequent_tour_must_start_after_previous... \n", - "1 coef_free_flow_round_trip_auto_time_shift_effe... \n", - "2 coef_shopping_tour_departure_shift_effects \n", - "3 coef_shopping_tour_duration_shift_effects \n", - "4 coef_maintenance_tour_departure_shift_effects \n", + "5 coef_subsequent_tour_must_start_after_previous... \n", + "6 coef_free_flow_round_trip_auto_time_shift_effe... \n", + "7 coef_shopping_tour_departure_shift_effects \n", + "8 coef_shopping_tour_duration_shift_effects \n", + "9 coef_maintenance_tour_departure_shift_effects \n", ".. ... \n", - "86 coef_escort_tour_duration_constants_4_to_5_hours \n", - "87 coef_escort_tour_duration_constants_6_to_7_hours \n", - "88 coef_escort_tour_duration_constants_8_to_10_hours \n", - "89 coef_escort_tour_duration_constants_11_to_13_h... \n", - "90 coef_escort_tour_duration_constants_14_to_18_h... \n", + "91 coef_escort_tour_duration_constants_4_to_5_hours \n", + "92 coef_escort_tour_duration_constants_6_to_7_hours \n", + "93 coef_escort_tour_duration_constants_8_to_10_hours \n", + "94 coef_escort_tour_duration_constants_11_to_13_h... \n", + "95 coef_escort_tour_duration_constants_14_to_18_h... \n", "\n", "[89 rows x 4 columns]" ] @@ -461,11 +524,11 @@ " \n", " \n", " 0\n", - " 6812\n", - " 118\n", - " 118\n", - " 166\n", - " eatout\n", + " 1870\n", + " 73\n", + " 137\n", + " 45\n", + " othdiscr\n", " 1\n", " 1\n", " 1\n", @@ -485,11 +548,11 @@ " \n", " \n", " 1\n", - " 8110\n", - " 112\n", - " 112\n", - " 197\n", - " shopping\n", + " 20468\n", + " 99\n", + " 124\n", + " 499\n", + " escort\n", " 1\n", " 1\n", " 1\n", @@ -501,23 +564,23 @@ " 0\n", " 0.0\n", " 0\n", - " 0\n", " 1\n", + " 0\n", " True\n", " 5\n", " 5\n", " \n", " \n", " 2\n", - " 11013\n", - " 169\n", + " 27055\n", + " 146\n", " 169\n", - " 268\n", - " othdiscr\n", + " 659\n", + " social\n", + " 1\n", + " 1\n", " 1\n", " 1\n", - " 2\n", - " 2\n", " non_mandatory\n", " ...\n", " 0\n", @@ -526,18 +589,18 @@ " 0.0\n", " 0\n", " 0\n", - " 2\n", + " 1\n", " True\n", - " 12\n", - " 15\n", + " 5\n", + " 5\n", " \n", " \n", " 3\n", - " 11016\n", - " 115\n", - " 115\n", - " 268\n", - " othmaint\n", + " 38877\n", + " 37\n", + " 125\n", + " 948\n", + " escort\n", " 1\n", " 1\n", " 1\n", @@ -549,23 +612,23 @@ " 0\n", " 0.0\n", " 0\n", - " 0\n", - " 2\n", + " 1\n", + " 1\n", " True\n", " 5\n", " 5\n", " \n", " \n", " 4\n", - " 15403\n", - " 99\n", - " 99\n", - " 375\n", - " othmaint\n", - " 1\n", - " 1\n", + " 38904\n", + " 95\n", + " 172\n", + " 948\n", + " social\n", " 1\n", " 1\n", + " 2\n", + " 2\n", " non_mandatory\n", " ...\n", " 0\n", @@ -573,11 +636,11 @@ " 0\n", " 0.0\n", " 0\n", - " 0\n", + " 1\n", " 1\n", " True\n", - " 5\n", - " 5\n", + " 7\n", + " 7\n", " \n", " \n", " ...\n", @@ -604,16 +667,16 @@ " ...\n", " \n", " \n", - " 2485\n", - " 309760814\n", - " 71\n", - " 71\n", - " 7555141\n", + " 29664\n", + " 310197956\n", + " 125\n", + " 127\n", + " 7565803\n", " shopping\n", - " 2\n", " 1\n", " 1\n", - " 3\n", + " 1\n", + " 1\n", " non_mandatory\n", " ...\n", " 0\n", @@ -622,22 +685,22 @@ " 0.0\n", " 0\n", " 0\n", - " 3\n", + " 1\n", " True\n", " 5\n", " 5\n", " \n", " \n", - " 2486\n", - " 309760815\n", - " 137\n", - " 137\n", - " 7555141\n", - " shopping\n", - " 2\n", + " 29665\n", + " 310202376\n", + " 126\n", + " 5\n", + " 7565911\n", + " othdiscr\n", + " 1\n", + " 1\n", " 2\n", " 2\n", - " 3\n", " non_mandatory\n", " ...\n", " 0\n", @@ -646,22 +709,22 @@ " 0.0\n", " 0\n", " 0\n", - " 3\n", + " 2\n", " True\n", - " 9\n", - " 10\n", + " 15\n", + " 19\n", " \n", " \n", - " 2487\n", - " 309790009\n", - " 109\n", - " 109\n", - " 7555853\n", - " social\n", - " 1\n", + " 29666\n", + " 310202384\n", + " 149\n", + " 129\n", + " 7565911\n", + " shopping\n", " 1\n", " 1\n", " 1\n", + " 2\n", " non_mandatory\n", " ...\n", " 0\n", @@ -670,22 +733,22 @@ " 0.0\n", " 0\n", " 0\n", - " 1\n", + " 2\n", " True\n", " 5\n", " 5\n", " \n", " \n", - " 2488\n", - " 309796968\n", - " 146\n", + " 29667\n", + " 310212634\n", + " 86\n", " 146\n", - " 7556023\n", - " othdiscr\n", - " 2\n", + " 7566161\n", + " shopping\n", + " 1\n", + " 1\n", " 1\n", " 1\n", - " 2\n", " non_mandatory\n", " ...\n", " 0\n", @@ -694,22 +757,22 @@ " 0.0\n", " 0\n", " 0\n", - " 2\n", + " 1\n", " True\n", " 5\n", " 5\n", " \n", " \n", - " 2489\n", - " 309796969\n", - " 180\n", - " 180\n", - " 7556023\n", - " othdiscr\n", - " 2\n", - " 2\n", - " 2\n", - " 2\n", + " 29668\n", + " 310220296\n", + " 74\n", + " 126\n", + " 7566348\n", + " othmaint\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", " non_mandatory\n", " ...\n", " 0\n", @@ -718,83 +781,83 @@ " 0.0\n", " 0\n", " 0\n", - " 2\n", + " 1\n", " True\n", - " 15\n", - " 16\n", + " 5\n", + " 5\n", " \n", " \n", "\n", - "

2490 rows × 31 columns

\n", + "

29669 rows × 31 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 6812 118 118 166 eatout \n", - "1 8110 112 112 197 shopping \n", - "2 11013 169 169 268 othdiscr \n", - "3 11016 115 115 268 othmaint \n", - "4 15403 99 99 375 othmaint \n", - "... ... ... ... ... ... \n", - "2485 309760814 71 71 7555141 shopping \n", - "2486 309760815 137 137 7555141 shopping \n", - "2487 309790009 109 109 7555853 social \n", - "2488 309796968 146 146 7556023 othdiscr \n", - "2489 309796969 180 180 7556023 othdiscr \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 1870 73 137 45 othdiscr \n", + "1 20468 99 124 499 escort \n", + "2 27055 146 169 659 social \n", + "3 38877 37 125 948 escort \n", + "4 38904 95 172 948 social \n", + "... ... ... ... ... ... \n", + "29664 310197956 125 127 7565803 shopping \n", + "29665 310202376 126 5 7565911 othdiscr \n", + "29666 310202384 149 129 7565911 shopping \n", + "29667 310212634 86 146 7566161 shopping \n", + "29668 310220296 74 126 7566348 othmaint \n", "\n", - " tour_type_count tour_type_num tour_num tour_count tour_category \\\n", - "0 1 1 1 1 non_mandatory \n", - "1 1 1 1 1 non_mandatory \n", - "2 1 1 2 2 non_mandatory \n", - "3 1 1 1 2 non_mandatory \n", - "4 1 1 1 1 non_mandatory \n", - "... ... ... ... ... ... \n", - "2485 2 1 1 3 non_mandatory \n", - "2486 2 2 2 3 non_mandatory \n", - "2487 1 1 1 1 non_mandatory \n", - "2488 2 1 1 2 non_mandatory \n", - "2489 2 2 2 2 non_mandatory \n", + " tour_type_count tour_type_num tour_num tour_count tour_category \\\n", + "0 1 1 1 1 non_mandatory \n", + "1 1 1 1 1 non_mandatory \n", + "2 1 1 1 1 non_mandatory \n", + "3 1 1 1 2 non_mandatory \n", + "4 1 1 2 2 non_mandatory \n", + "... ... ... ... ... ... \n", + "29664 1 1 1 1 non_mandatory \n", + "29665 1 1 2 2 non_mandatory \n", + "29666 1 1 1 2 non_mandatory \n", + "29667 1 1 1 1 non_mandatory \n", + "29668 1 1 1 1 non_mandatory \n", "\n", - " ... num_person_joint_tours ptype num_children \\\n", - "0 ... 0 4 0 \n", - "1 ... 0 4 0 \n", - "2 ... 0 4 0 \n", - "3 ... 0 4 0 \n", - "4 ... 0 4 0 \n", - "... ... ... ... ... \n", - "2485 ... 0 5 0 \n", - "2486 ... 0 5 0 \n", - "2487 ... 0 5 0 \n", - "2488 ... 0 5 0 \n", - "2489 ... 0 5 0 \n", + " ... num_person_joint_tours ptype num_children \\\n", + "0 ... 0 4 0 \n", + "1 ... 0 4 0 \n", + "2 ... 0 4 0 \n", + "3 ... 0 4 0 \n", + "4 ... 0 4 0 \n", + "... ... ... ... ... \n", + "29664 ... 0 5 0 \n", + "29665 ... 0 5 0 \n", + "29666 ... 0 5 0 \n", + "29667 ... 0 5 0 \n", + "29668 ... 0 5 0 \n", "\n", - " roundtrip_auto_time_to_work num_mand num_escort_tours \\\n", - "0 0.0 0 0 \n", - "1 0.0 0 0 \n", - "2 0.0 0 0 \n", - "3 0.0 0 0 \n", - "4 0.0 0 0 \n", - "... ... ... ... \n", - "2485 0.0 0 0 \n", - "2486 0.0 0 0 \n", - "2487 0.0 0 0 \n", - "2488 0.0 0 0 \n", - "2489 0.0 0 0 \n", + " roundtrip_auto_time_to_work num_mand num_escort_tours \\\n", + "0 0.0 0 0 \n", + "1 0.0 0 1 \n", + "2 0.0 0 0 \n", + "3 0.0 0 1 \n", + "4 0.0 0 1 \n", + "... ... ... ... \n", + "29664 0.0 0 0 \n", + "29665 0.0 0 0 \n", + "29666 0.0 0 0 \n", + "29667 0.0 0 0 \n", + "29668 0.0 0 0 \n", "\n", - " num_non_escort_tours adult start_previous end_previous \n", - "0 1 True 5 5 \n", - "1 1 True 5 5 \n", - "2 2 True 12 15 \n", - "3 2 True 5 5 \n", - "4 1 True 5 5 \n", - "... ... ... ... ... \n", - "2485 3 True 5 5 \n", - "2486 3 True 9 10 \n", - "2487 1 True 5 5 \n", - "2488 2 True 5 5 \n", - "2489 2 True 15 16 \n", + " num_non_escort_tours adult start_previous end_previous \n", + "0 1 True 5 5 \n", + "1 0 True 5 5 \n", + "2 1 True 5 5 \n", + "3 1 True 5 5 \n", + "4 1 True 7 7 \n", + "... ... ... ... ... \n", + "29664 1 True 5 5 \n", + "29665 2 True 15 19 \n", + "29666 2 True 5 5 \n", + "29667 1 True 5 5 \n", + "29668 1 True 5 5 \n", "\n", - "[2490 rows x 31 columns]" + "[29669 rows x 31 columns]" ] }, "execution_count": 6, @@ -840,129 +903,114 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", + " start\n", + " end\n", + " duration\n", + " tdd\n", + " mode_choice_logsum\n", + " util_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends\n", + " util_free_flow_round_trip_auto_time_shift_effects_duration\n", + " util_shopping_tour_departure_shift_effects\n", + " util_shopping_tour_duration_shift_effects\n", " ...\n", - " 180\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", + " util_escort_tour_arrival_constants_pm_peak_4\n", + " util_escort_tour_arrival_constants_evening\n", + " util_escort_tour_arrival_constants_late\n", + " util_escort_tour_duration_constants_0_to_1_hours\n", + " util_escort_tour_duration_constants_2_to_3_hours\n", + " util_escort_tour_duration_constants_4_to_5_hours\n", + " util_escort_tour_duration_constants_6_to_7_hours\n", + " util_escort_tour_duration_constants_8_to_10_hours\n", + " util_escort_tour_duration_constants_11_to_13_hours\n", + " util_escort_tour_duration_constants_14_to_18_hours\n", " \n", " \n", " \n", " \n", " 0\n", - " 6812\n", - " duration\n", + " 1870\n", + " 5\n", + " 5\n", + " 0\n", + " 0\n", + " 0\n", + " False\n", " 0.0\n", - " 1.0\n", - " 2.0\n", - " 3.0\n", - " 4.0\n", - " 5.0\n", - " 6.0\n", - " 7.0\n", + " 0\n", + " 0\n", " ...\n", - " 0.0\n", - " 1.0\n", - " 2.0\n", - " 3.0\n", - " 0.0\n", - " 1.0\n", - " 2.0\n", - " 0.0\n", - " 1.0\n", - " 0.0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 1\n", - " 6812\n", - " end\n", - " 5.0\n", - " 6.0\n", - " 7.0\n", - " 8.0\n", - " 9.0\n", - " 10.0\n", - " 11.0\n", - " 12.0\n", - " ...\n", - " 20.0\n", - " 21.0\n", - " 22.0\n", - " 23.0\n", - " 21.0\n", - " 22.0\n", - " 23.0\n", - " 22.0\n", - " 23.0\n", - " 23.0\n", + " 1870\n", + " 5\n", + " 6\n", + " 1\n", + " 1\n", + " 0\n", + " False\n", + " 0.0\n", + " 0\n", + " 0\n", + " ...\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 2\n", - " 6812\n", - " mode_choice_logsum\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 1870\n", + " 5\n", + " 7\n", + " 2\n", + " 2\n", + " 0\n", + " False\n", " 0.0\n", + " 0\n", + " 0\n", " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 3\n", - " 6812\n", - " start\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " 5.0\n", - " ...\n", - " 20.0\n", - " 20.0\n", - " 20.0\n", - " 20.0\n", - " 21.0\n", - " 21.0\n", - " 21.0\n", - " 22.0\n", - " 22.0\n", - " 23.0\n", - " \n", - " \n", - " 4\n", - " 6812\n", - " util_adjacent_window_exists_after_this_arrival...\n", + " 1870\n", + " 5\n", + " 8\n", + " 3\n", + " 3\n", + " 0\n", + " False\n", + " 0.0\n", + " 0\n", + " 0\n", + " ...\n", " False\n", " False\n", " False\n", @@ -971,6 +1019,21 @@ " False\n", " False\n", " False\n", + " False\n", + " False\n", + " \n", + " \n", + " 4\n", + " 1870\n", + " 5\n", + " 9\n", + " 4\n", + " 4\n", + " 0\n", + " False\n", + " 0.0\n", + " 0\n", + " 0\n", " ...\n", " False\n", " False\n", @@ -1008,41 +1071,17 @@ " ...\n", " \n", " \n", - " 231565\n", - " 309796969\n", - " util_subsequent_of_2_plus_tours_for_same_purpo...\n", - " 0\n", + " 3632342\n", + " 310220296\n", + " 21\n", + " 22\n", " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", - " ...\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", + " 185\n", " 0\n", - " 1\n", - " 2\n", + " False\n", + " 0.0\n", " 0\n", - " 1\n", " 0\n", - " \n", - " \n", - " 231566\n", - " 309796969\n", - " util_subsequent_tour_must_start_after_previous...\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", - " True\n", " ...\n", " False\n", " False\n", @@ -1056,9 +1095,21 @@ " False\n", " \n", " \n", - " 231567\n", - " 309796969\n", - " util_university_student_arrive_after_22\n", + " 3632343\n", + " 310220296\n", + " 21\n", + " 23\n", + " 2\n", + " 186\n", + " 0\n", + " False\n", + " 0.0\n", + " 0\n", + " 0\n", + " ...\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " False\n", @@ -1066,7 +1117,19 @@ " False\n", " False\n", " False\n", + " \n", + " \n", + " 3632344\n", + " 310220296\n", + " 22\n", + " 22\n", + " 0\n", + " 187\n", + " 0\n", " False\n", + " 0.0\n", + " 0\n", + " 0\n", " ...\n", " False\n", " False\n", @@ -1080,99 +1143,255 @@ " False\n", " \n", " \n", - " 231568\n", - " 309796969\n", - " util_visit_tour_departure_shift_effects_start\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 3632345\n", + " 310220296\n", + " 22\n", + " 23\n", + " 1\n", + " 188\n", " 0\n", + " False\n", + " 0.0\n", " 0\n", " 0\n", " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 231569\n", - " 309796969\n", - " util_visit_tour_duration_shift_effects_duration\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 3632346\n", + " 310220296\n", + " 23\n", + " 23\n", " 0\n", + " 189\n", " 0\n", + " False\n", + " 0.0\n", " 0\n", " 0\n", " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", "\n", - "

231570 rows × 192 columns

\n", + "

3632347 rows × 95 columns

\n", "" ], "text/plain": [ - " tour_id variable 0 \\\n", - "0 6812 duration 0.0 \n", - "1 6812 end 5.0 \n", - "2 6812 mode_choice_logsum 0.0 \n", - "3 6812 start 5.0 \n", - "4 6812 util_adjacent_window_exists_after_this_arrival... False \n", - "... ... ... ... \n", - "231565 309796969 util_subsequent_of_2_plus_tours_for_same_purpo... 0 \n", - "231566 309796969 util_subsequent_tour_must_start_after_previous... True \n", - "231567 309796969 util_university_student_arrive_after_22 False \n", - "231568 309796969 util_visit_tour_departure_shift_effects_start 0 \n", - "231569 309796969 util_visit_tour_duration_shift_effects_duration 0 \n", + " tour_id start end duration tdd mode_choice_logsum \\\n", + "0 1870 5 5 0 0 0 \n", + "1 1870 5 6 1 1 0 \n", + "2 1870 5 7 2 2 0 \n", + "3 1870 5 8 3 3 0 \n", + "4 1870 5 9 4 4 0 \n", + "... ... ... ... ... ... ... \n", + "3632342 310220296 21 22 1 185 0 \n", + "3632343 310220296 21 23 2 186 0 \n", + "3632344 310220296 22 22 0 187 0 \n", + "3632345 310220296 22 23 1 188 0 \n", + "3632346 310220296 23 23 0 189 0 \n", + "\n", + " util_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "3632342 False \n", + "3632343 False \n", + "3632344 False \n", + "3632345 False \n", + "3632346 False \n", "\n", - " 1 2 3 4 5 6 7 ... 180 181 \\\n", - "0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 ... 0.0 1.0 \n", - "1 6.0 7.0 8.0 9.0 10.0 11.0 12.0 ... 20.0 21.0 \n", - "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 \n", - "3 5.0 5.0 5.0 5.0 5.0 5.0 5.0 ... 20.0 20.0 \n", - "4 False False False False False False False ... 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False False \n", - "231568 0 0 0 0 0 0 0 ... 0 0 \n", - "231569 0 0 0 0 0 0 0 ... 0 0 \n", + " util_free_flow_round_trip_auto_time_shift_effects_duration \\\n", + "0 0.0 \n", + "1 0.0 \n", + "2 0.0 \n", + "3 0.0 \n", + "4 0.0 \n", + "... ... \n", + "3632342 0.0 \n", + "3632343 0.0 \n", + "3632344 0.0 \n", + "3632345 0.0 \n", + "3632346 0.0 \n", "\n", - " 182 183 184 185 186 187 188 189 \n", - "0 2.0 3.0 0.0 1.0 2.0 0.0 1.0 0.0 \n", - "1 22.0 23.0 21.0 22.0 23.0 22.0 23.0 23.0 \n", - "2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "3 20.0 20.0 21.0 21.0 21.0 22.0 22.0 23.0 \n", - "4 False False False False False False False False \n", - "... ... ... ... ... ... ... ... ... \n", - "231565 2 3 0 1 2 0 1 0 \n", - "231566 False False False False False False False False \n", - "231567 False False False False False False False False \n", - "231568 0 0 0 0 0 0 0 0 \n", - "231569 0 0 0 0 0 0 0 0 \n", + " util_shopping_tour_departure_shift_effects \\\n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "... ... \n", + "3632342 0 \n", + "3632343 0 \n", + "3632344 0 \n", + "3632345 0 \n", + "3632346 0 \n", "\n", - 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"req_data does not request avail_ca or avail_co but it is set and being provided\n" + "problem: chosen_but_not_available has (149 issues)\n" ] }, + { + "data": { + "text/plain": [ + "(,\n", + " ┣ chosen_but_not_available: altid n example rows\n", + " ┃ 0 2 1 26680\n", + " ┃ 1 7 1 15549\n", + " ┃ 2 8 1 2727\n", + " ┃ 3 12 1 18739\n", + " ┃ 4 20 5 9872, 15764, 22362\n", + " ┃ .. ... .. ...\n", + " ┃ 144 183 12 4208, 14096, 15246\n", + " ┃ 145 184 5 1829, 8653, 13517\n", + " ┃ 146 185 10 626, 5650, 9208\n", + " ┃ 147 186 9 4563, 8308, 8746\n", + " ┃ 148 187 7 8216, 13933, 19491\n", + " ┃ \n", + " ┃ [149 rows x 3 columns])" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.doctor(repair_ch_av=\"-\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ - "

Iteration 079 [Optimization terminated successfully]

" + "

Iteration 121 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1220,7 +1473,7 @@ { "data": { "text/html": [ - "

Best LL = -9499.39971608494

" + "

Best LL = -103688.04725680027

" ], "text/plain": [ "" @@ -1251,70 +1504,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -0.127954\n", + " 0.126593\n", + " 0.126593\n", " -0.025700\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.127954\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " 0.093954\n", + " -0.610258\n", + " -0.610258\n", " -0.027340\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.093954\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " 0.253749\n", + " 0.113506\n", + " 0.113506\n", " 0.008442\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.253749\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " -0.198343\n", + " 0.386575\n", + " 0.386575\n", " -0.059300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.198343\n", " \n", " \n", " coef_adult_with_children_in_hh_arrive_19_21\n", - " 0.309424\n", + " 0.281164\n", + " 0.281164\n", " 0.336000\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.309424\n", " \n", " \n", " ...\n", @@ -1325,135 +1582,125 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect\n", - " -0.115107\n", + " -0.281272\n", + " -0.281272\n", " -0.173100\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.115107\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends\n", " -999.000000\n", " -999.000000\n", + " -999.000000\n", + " -999.0\n", + " -999.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " coef_university_student_arrive_after_22\n", - " -0.537299\n", + " 0.609651\n", + " 0.609651\n", " 0.546600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.537299\n", " \n", " \n", " coef_visit_tour_departure_shift_effects\n", - " 0.169598\n", + " 0.080406\n", + " 0.080406\n", " 0.096880\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.169598\n", " \n", " \n", " coef_visit_tour_duration_shift_effects\n", - " 0.155783\n", + " 0.140532\n", + " 0.140532\n", " 0.163800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.155783\n", " \n", " \n", "\n", - "

89 rows × 8 columns

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89 rows × 7 columns

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"[89 rows x 8 columns]" + "[89 rows x 7 columns]" ] }, "metadata": {}, "output_type": "display_data" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jeffnewman/opt/anaconda3/envs/garage38/lib/python3.8/site-packages/scipy/optimize/optimize.py:282: RuntimeWarning: Values in x were outside bounds during a minimize step, clipping to bounds\n", - " warnings.warn(\"Values in x were outside bounds during a \"\n" - ] - }, { "data": { "text/html": [ @@ -1467,31 +1714,31 @@ " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction\n", - " -0.127954\n", + " 0.126593\n", " \n", " \n", " coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction\n", - " 0.093954\n", + " -0.610258\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction\n", - " 0.253749\n", + " 0.113506\n", " \n", " \n", " coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction\n", - " -0.198343\n", + " 0.386575\n", " \n", " \n", " coef_adult_with_children_in_hh_arrive_19_21\n", - " 0.309424\n", + " 0.281164\n", " \n", " \n", " coef_arrival_constants_am_peak\n", - " 0.423382\n", + " -1.621626\n", " \n", " \n", " coef_arrival_constants_early\n", - " 2.912542\n", + " 0.006167\n", " \n", " \n", " coef_arrival_constants_evening\n", @@ -1499,67 +1746,67 @@ " \n", " \n", " coef_arrival_constants_late\n", - " -1.191037\n", + " -0.817500\n", " \n", " \n", " coef_arrival_constants_midday_1\n", - " 1.483808\n", + " 0.050461\n", " \n", " \n", " coef_arrival_constants_midday_2\n", - " 1.574014\n", + " 0.512472\n", " \n", " \n", " coef_arrival_constants_pm_peak_1\n", - " 1.409632\n", + " 0.637774\n", " \n", " \n", " coef_arrival_constants_pm_peak_2\n", - " 1.601585\n", + " 0.623529\n", " \n", " \n", " coef_arrival_constants_pm_peak_3\n", - " 1.110412\n", + " 0.299165\n", " \n", " \n", " coef_arrival_constants_pm_peak_4\n", - " 0.718971\n", + " 0.085991\n", " \n", " \n", " coef_departure_constants_am_peak_1\n", - " -0.462981\n", + " -0.564262\n", " \n", " \n", " coef_departure_constants_am_peak_2\n", - " 1.259376\n", + " 0.617882\n", " \n", " \n", " coef_departure_constants_am_peak_3\n", - " 1.496731\n", + " 1.077085\n", " \n", " \n", " coef_departure_constants_am_peak_4\n", - " 1.574361\n", + " 0.967759\n", " \n", " \n", " coef_departure_constants_early\n", - " -1.029511\n", + " -1.393229\n", " \n", " \n", " coef_departure_constants_evening\n", - " -1.905774\n", + " -1.688698\n", " \n", " \n", " coef_departure_constants_late\n", - " -5.863097\n", + " -4.308508\n", " \n", " \n", " coef_departure_constants_midday_1\n", - " 1.406032\n", + " 0.803175\n", " \n", " \n", " coef_departure_constants_midday_2\n", - " 0.672976\n", + " 0.328097\n", " \n", " \n", " coef_departure_constants_pm_peak\n", @@ -1567,11 +1814,11 @@ " \n", " \n", " coef_destination_in_cbd_duration_shift_effects\n", - " 0.116120\n", + " 0.110221\n", " \n", " \n", " coef_discretionary_tour_duration_lt_2_hours\n", - " -0.263935\n", + " -0.712606\n", " \n", " \n", " coef_duration_constants_0_to_1_hours\n", @@ -1579,31 +1826,31 @@ " \n", " \n", " coef_duration_constants_11_to_13_hours\n", - " -0.877324\n", + " -1.002178\n", " \n", " \n", " coef_duration_constants_14_to_18_hours\n", - " -2.821298\n", + " -1.203201\n", " \n", " \n", " coef_duration_constants_2_to_3_hours\n", - " 0.435394\n", + " -0.064944\n", " \n", " \n", " coef_duration_constants_4_to_5_hours\n", - " -0.223601\n", + " -0.717940\n", " \n", " \n", " coef_duration_constants_6_to_7_hours\n", - " -0.584059\n", + " -1.110132\n", " \n", " \n", " coef_duration_constants_8_to_10_hours\n", - " -0.527906\n", + " -0.954018\n", " \n", " \n", " coef_eat_out_tour_departure_shift_effects\n", - " 0.105657\n", + " 0.065095\n", " \n", " \n", " coef_escort_tour_arrival_constants_am_peak\n", @@ -1615,11 +1862,11 @@ " \n", " \n", " coef_escort_tour_arrival_constants_evening\n", - " -0.878853\n", + " -0.305413\n", " \n", " \n", " coef_escort_tour_arrival_constants_late\n", - " -1.254415\n", + " -0.704974\n", " \n", " \n", " coef_escort_tour_arrival_constants_midday_1\n", @@ -1647,35 +1894,35 @@ " \n", " \n", " coef_escort_tour_departure_constants_am_peak_1\n", - " 0.704309\n", + " -0.874537\n", " \n", " \n", " coef_escort_tour_departure_constants_am_peak_2\n", - " 2.276345\n", + " 1.002187\n", " \n", " \n", " coef_escort_tour_departure_constants_am_peak_3\n", - " 2.300896\n", + " 1.431663\n", " \n", " \n", " coef_escort_tour_departure_constants_am_peak_4\n", - " 0.493137\n", + " -0.076284\n", " \n", " \n", " coef_escort_tour_departure_constants_early\n", - " -0.493910\n", + " -1.237400\n", " \n", " \n", " coef_escort_tour_departure_constants_evening\n", - " -4.802269\n", + " -3.664017\n", " \n", " \n", " coef_escort_tour_departure_constants_late\n", - " -6.857486\n", + " -7.398170\n", " \n", " \n", " coef_escort_tour_departure_constants_midday_1\n", - " 0.746447\n", + " 0.185749\n", " \n", " \n", " coef_escort_tour_departure_constants_midday_2\n", @@ -1683,7 +1930,7 @@ " \n", " \n", " coef_escort_tour_departure_constants_pm_peak\n", - " -1.823360\n", + " -1.171787\n", " \n", " \n", " coef_escort_tour_duration_constants_0_to_1_hours\n", @@ -1691,138 +1938,138 @@ " \n", " \n", " coef_escort_tour_duration_constants_11_to_13_hours\n", - " -6.393148\n", + " -2.821199\n", " \n", " \n", " coef_escort_tour_duration_constants_14_to_18_hours\n", - " -9.419793\n", + " -2.493843\n", " \n", " \n", " coef_escort_tour_duration_constants_2_to_3_hours\n", - " -2.595592\n", + " -2.026673\n", " \n", " \n", " coef_escort_tour_duration_constants_4_to_5_hours\n", - " -3.522889\n", + " -2.941739\n", " \n", " \n", " coef_escort_tour_duration_constants_6_to_7_hours\n", - " -3.979277\n", + " -3.103903\n", " \n", " \n", " coef_escort_tour_duration_constants_8_to_10_hours\n", - " -5.158316\n", + " -3.097454\n", " \n", " \n", " coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect\n", - " -0.285201\n", + " -0.272458\n", " \n", " \n", " coef_free_flow_round_trip_auto_time_shift_effects_duration\n", - " 0.004992\n", + " 0.004326\n", " \n", " \n", " coef_maintenance_tour_depart_before_7\n", - " 0.041997\n", + " -0.819334\n", " \n", " \n", " coef_maintenance_tour_departure_shift_effects\n", - " -0.036636\n", + " -0.140265\n", " \n", " \n", " coef_maintenance_tour_duration_shift_effects\n", - " -0.115944\n", + " -0.068132\n", " \n", " \n", " coef_number_of_escort_tours_departure_shift_effects\n", - " 0.115214\n", + " 0.055565\n", " \n", " \n", " coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects\n", - " 0.104375\n", + " 0.054223\n", " \n", " \n", " coef_number_of_joint_tours_departure_shift_effects\n", - " 0.121920\n", + " 0.029269\n", " \n", " \n", " coef_number_of_mandatory_tours_departure_shift_effects\n", - " 0.170817\n", + " 0.031273\n", " \n", " \n", " coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours\n", - " 5.643619\n", + " -13.624709\n", " \n", " \n", " coef_school_child_age_16_plus_departure_shift_effects\n", - " 0.000283\n", + " 0.086050\n", " \n", " \n", " coef_school_child_age_16_plus_duration_shift_effects\n", - " 0.306122\n", + " 0.250586\n", " \n", " \n", " coef_school_child_age_under_16_departure_shift_effects\n", - " 0.110796\n", + " 0.053201\n", " \n", " \n", " coef_school_child_age_under_16_duration_shift_effects\n", - " 0.338212\n", + " 0.312477\n", " \n", " \n", " coef_school_child_under_16_arrive_after_22\n", - " -0.402410\n", + " -1.096083\n", " \n", " \n", " coef_shopping_tour_arrive_after_22\n", - " -2.545226\n", + " -0.583411\n", " \n", " \n", " coef_shopping_tour_depart_before_8\n", - " -0.787100\n", + " -1.172034\n", " \n", " \n", " coef_shopping_tour_departure_shift_effects\n", - " 0.015067\n", + " -0.061028\n", " \n", " \n", " coef_shopping_tour_duration_lt_2_hours\n", - " 0.943420\n", + " 0.405721\n", " \n", " \n", " coef_shopping_tour_duration_shift_effects\n", - " -0.075331\n", + " -0.113223\n", " \n", " \n", " coef_some_previously_scheduled_tour_begins_in_this_arrival_hour\n", - " -0.054385\n", + " -0.260255\n", " \n", " \n", " coef_some_previously_scheduled_tour_ends_in_this_departure_hour\n", - " -0.345727\n", + " -0.317129\n", " \n", " \n", " coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect\n", - " -0.115107\n", + " -0.281272\n", " \n", " \n", " coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends\n", - " -25.000000\n", + " -999.000000\n", " \n", " \n", " coef_university_student_arrive_after_22\n", - " -0.537299\n", + " 0.609651\n", " \n", " \n", " coef_visit_tour_departure_shift_effects\n", - " 0.169598\n", + " 0.080406\n", " \n", " \n", " coef_visit_tour_duration_shift_effects\n", - " 0.155783\n", + " 0.140532\n", " \n", " \n", - "loglike-9499.39971608494d_loglike\n", + "
logloss3.8088398507438663d_logloss\n", " \n", " \n", " \n", @@ -1832,409 +2079,409 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction0.0001143.438973e-05
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-0.0003853.037850e-05
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction0.000097-6.894273e-05
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-0.0002052.343581e-05
coef_adult_with_children_in_hh_arrive_19_210.0002946.653629e-05
coef_arrival_constants_am_peak0.0000379.439405e-07
coef_arrival_constants_early0.000111-8.901383e-06
coef_arrival_constants_evening0.0000000.000000e+00
coef_arrival_constants_late0.000194-6.165299e-05
coef_arrival_constants_midday_1-0.001155-3.871814e-05
coef_arrival_constants_midday_2-0.0007143.424832e-05
coef_arrival_constants_pm_peak_1-0.0000882.789318e-05
coef_arrival_constants_pm_peak_2-0.0003175.620495e-05
coef_arrival_constants_pm_peak_3-0.0000917.993874e-05
coef_arrival_constants_pm_peak_40.0007294.315887e-05
coef_departure_constants_am_peak_10.000352-8.495800e-05
coef_departure_constants_am_peak_2-0.000454-1.392003e-05
coef_departure_constants_am_peak_30.0002356.548727e-06
coef_departure_constants_am_peak_4-0.0003863.101496e-05
coef_departure_constants_early-0.000155-4.598593e-05
coef_departure_constants_evening0.0008867.934172e-05
coef_departure_constants_late0.000080-3.695844e-05
coef_departure_constants_midday_1-0.000777-5.887180e-05
coef_departure_constants_midday_20.0000792.120332e-05
coef_departure_constants_pm_peak0.0000000.000000e+00
coef_destination_in_cbd_duration_shift_effects0.002269-5.090224e-04
coef_discretionary_tour_duration_lt_2_hours-0.0004347.164386e-05
coef_duration_constants_0_to_1_hours0.0000000.000000e+00
coef_duration_constants_11_to_13_hours-0.000100-7.457357e-05
coef_duration_constants_14_to_18_hours-0.000201-6.196472e-06
coef_duration_constants_2_to_3_hours0.0007523.359402e-06
coef_duration_constants_4_to_5_hours0.000035-1.152395e-04
coef_duration_constants_6_to_7_hours0.0002578.557322e-05
coef_duration_constants_8_to_10_hours0.0000551.199127e-04
coef_eat_out_tour_departure_shift_effects-0.0008649.487469e-05
coef_escort_tour_arrival_constants_am_peak0.0000000.000000e+00
coef_escort_tour_arrival_constants_early0.0000000.000000e+00
coef_escort_tour_arrival_constants_evening0.000050-2.421029e-06
coef_escort_tour_arrival_constants_late-0.000165-2.218474e-05
coef_escort_tour_arrival_constants_midday_10.0000000.000000e+00
coef_escort_tour_arrival_constants_midday_20.0000000.000000e+00
coef_escort_tour_arrival_constants_pm_peak_10.0000000.000000e+00
coef_escort_tour_arrival_constants_pm_peak_20.0000000.000000e+00
coef_escort_tour_arrival_constants_pm_peak_30.0000000.000000e+00
coef_escort_tour_arrival_constants_pm_peak_40.0000000.000000e+00
coef_escort_tour_departure_constants_am_peak_10.000085-4.267869e-05
coef_escort_tour_departure_constants_am_peak_2-0.0000066.901890e-05
coef_escort_tour_departure_constants_am_peak_30.0001894.201443e-05
coef_escort_tour_departure_constants_am_peak_4-0.0003224.405139e-05
coef_escort_tour_departure_constants_early-0.0001185.739071e-05
coef_escort_tour_departure_constants_evening0.000116-1.563838e-05
coef_escort_tour_departure_constants_late-0.0000661.808622e-04
coef_escort_tour_departure_constants_midday_10.000073-5.212731e-06
coef_escort_tour_departure_constants_midday_20.0000000.000000e+00
coef_escort_tour_departure_constants_pm_peak0.000128-3.144269e-05
coef_escort_tour_duration_constants_0_to_1_hours0.0000000.000000e+00
coef_escort_tour_duration_constants_11_to_13_hours0.0004584.885945e-05
coef_escort_tour_duration_constants_14_to_18_hours-0.000124-6.674129e-06
coef_escort_tour_duration_constants_2_to_3_hours-0.0002188.004432e-05
coef_escort_tour_duration_constants_4_to_5_hours0.0000737.200311e-06
coef_escort_tour_duration_constants_6_to_7_hours0.0000929.728923e-06
coef_escort_tour_duration_constants_8_to_10_hours0.0000133.329902e-06
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect0.0083783.750465e-05
coef_free_flow_round_trip_auto_time_shift_effects_duration-0.0392021.926232e-04
coef_maintenance_tour_depart_before_70.000197-7.804297e-06
coef_maintenance_tour_departure_shift_effects-0.0042501.482773e-04
coef_maintenance_tour_duration_shift_effects0.0011253.493923e-04
coef_number_of_escort_tours_departure_shift_effects0.0076461.304873e-05
coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects0.015415-1.378737e-05
coef_number_of_joint_tours_departure_shift_effects0.000633-9.589696e-05
coef_number_of_mandatory_tours_departure_shift_effects0.003775-4.122044e-05
coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours0.0000442.048882e-05
coef_school_child_age_16_plus_departure_shift_effects-0.000324-1.242593e-05
coef_school_child_age_16_plus_duration_shift_effects0.000284-1.367621e-05
coef_school_child_age_under_16_departure_shift_effects0.000075-4.089013e-05
coef_school_child_age_under_16_duration_shift_effects0.001635-2.174936e-05
coef_school_child_under_16_arrive_after_22-0.0001867.030245e-07
coef_shopping_tour_arrive_after_22-0.0000441.001740e-06
coef_shopping_tour_depart_before_8-0.0003601.716270e-05
coef_shopping_tour_departure_shift_effects0.0175473.564338e-05
coef_shopping_tour_duration_lt_2_hours-0.000129-4.343344e-05
coef_shopping_tour_duration_shift_effects0.0037181.135557e-04
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour-0.0000754.711918e-06
coef_some_previously_scheduled_tour_ends_in_this_departure_hour-0.000476-5.226511e-05
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect0.0005837.117498e-05
coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends0.0000000.000000e+00
coef_university_student_arrive_after_22-0.000256-8.028019e-06
coef_visit_tour_departure_shift_effects-0.000785-8.601128e-05
coef_visit_tour_duration_shift_effects-0.001139-1.064345e-04
nit79nfev236njev79status0message'Optimization terminated successfully'successTrueelapsed_time0:00:18.828322method'slsqp'n_cases2490iteration_number79logloss3.8150199662991726" + "nit121nfev130njev121status0message'Optimization terminated successfully'successTrueelapsed_time0:01:35.575519method'slsqp'n_cases29669iteration_number121loglike-103688.04725680027" ], "text/plain": [ - "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction -0.127954\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 0.093954\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.253749\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -0.198343\n", - "┃ coef_adult_with_children_in_hh_arrive_19_21 0.309424\n", - "┃ ... \n", - "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect -0.115107\n", - "┃ coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends -25.000000\n", - "┃ coef_university_student_arrive_after_22 -0.537299\n", - "┃ coef_visit_tour_departure_shift_effects 0.169598\n", - "┃ coef_visit_tour_duration_shift_effects 0.155783\n", + "┣ x: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.126593\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -0.610258\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.113506\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 0.386575\n", + "┃ coef_adult_with_children_in_hh_arrive_19_21 0.281164\n", + "┃ ... \n", + "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect -0.281272\n", + "┃ coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends -999.000000\n", + "┃ coef_university_student_arrive_after_22 0.609651\n", + "┃ coef_visit_tour_departure_shift_effects 0.080406\n", + "┃ coef_visit_tour_duration_shift_effects 0.140532\n", "┃ Length: 89, dtype: float64\n", - "┣ loglike: -9499.39971608494\n", - "┣ d_loglike: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.000114\n", - "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction -0.000385\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.000097\n", - "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction -0.000205\n", - "┃ coef_adult_with_children_in_hh_arrive_19_21 0.000294\n", + "┣ logloss: 3.8088398507438663\n", + "┣ d_logloss: coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.000034\n", + "┃ coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 0.000030\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction -0.000069\n", + "┃ coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 0.000023\n", + "┃ coef_adult_with_children_in_hh_arrive_19_21 0.000067\n", "┃ ... \n", - "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.000583\n", + "┃ coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect 0.000071\n", "┃ coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends 0.000000\n", - "┃ coef_university_student_arrive_after_22 -0.000256\n", - "┃ coef_visit_tour_departure_shift_effects -0.000785\n", - "┃ coef_visit_tour_duration_shift_effects -0.001139\n", + "┃ coef_university_student_arrive_after_22 -0.000008\n", + "┃ coef_visit_tour_departure_shift_effects -0.000086\n", + "┃ coef_visit_tour_duration_shift_effects -0.000106\n", "┃ Length: 89, dtype: float64\n", - "┣ nit: 79\n", - "┣ nfev: 236\n", - "┣ njev: 79\n", + "┣ nit: 121\n", + "┣ nfev: 130\n", + "┣ njev: 121\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=18, microseconds=828322)\n", + "┣ elapsed_time: datetime.timedelta(seconds=95, microseconds=575519)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 2490\n", - "┣ iteration_number: 79\n", - "┣ logloss: 3.8150199662991726" + "┣ n_cases: 29669\n", + "┣ iteration_number: 121\n", + "┣ loglike: -103688.04725680027" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate()" + "model.estimate(maxiter=900)" ] }, { @@ -2246,830 +2493,856 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Null Value Constrained
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction-0.128 0.141-0.91 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction 0.0940 0.137 0.69 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.254 0.148 1.72 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction-0.198 0.140-1.42 0.00
coef_adult_with_children_in_hh_arrive_19_21 0.309 0.136 2.27* 0.00
coef_arrival_constants_am_peak 0.423 0.303 1.40 0.00
coef_arrival_constants_early 2.91 0.429 6.78*** 0.00
coef_arrival_constants_evening 0.00 NA NA 0.00fixed value
coef_arrival_constants_late-1.19 0.133-8.96*** 0.00
coef_arrival_constants_midday_1 1.48 0.220 6.75*** 0.00
coef_arrival_constants_midday_2 1.57 0.174 9.05*** 0.00
coef_arrival_constants_pm_peak_1 1.41 0.160 8.80*** 0.00
coef_arrival_constants_pm_peak_2 1.60 0.132 12.14*** 0.00
coef_arrival_constants_pm_peak_3 1.11 0.118 9.40*** 0.00
coef_arrival_constants_pm_peak_4 0.719 0.108 6.69*** 0.00
coef_departure_constants_am_peak_1-0.463 0.384-1.21 0.00
coef_departure_constants_am_peak_2 1.26 0.276 4.56*** 0.00
coef_departure_constants_am_peak_3 1.50 0.246 6.10*** 0.00
coef_departure_constants_am_peak_4 1.57 0.223 7.06*** 0.00
coef_departure_constants_early-1.03 0.420-2.45* 0.00
coef_departure_constants_evening-1.91 0.136-14.03*** 0.00
coef_departure_constants_late-5.86 0.728-8.05*** 0.00
coef_departure_constants_midday_1 1.41 0.171 8.23*** 0.00
coef_departure_constants_midday_2 0.673 0.113 5.98*** 0.00
coef_departure_constants_pm_peak 0.00 NA NA 0.00fixed value
coef_destination_in_cbd_duration_shift_effects 0.116 0.0186 6.26*** 0.00
coef_discretionary_tour_duration_lt_2_hours-0.264 0.136-1.93 0.00
coef_duration_constants_0_to_1_hours 0.00 NA NA 0.00fixed value
coef_duration_constants_11_to_13_hours-0.877 0.352-2.49* 0.00
coef_duration_constants_14_to_18_hours-2.82 0.771-3.66*** 0.00
coef_duration_constants_2_to_3_hours 0.435 0.0972 4.48*** 0.00
coef_duration_constants_4_to_5_hours-0.224 0.139-1.60 0.00
coef_duration_constants_6_to_7_hours-0.584 0.192-3.04** 0.00
coef_duration_constants_8_to_10_hours-0.528 0.249-2.12* 0.00
coef_eat_out_tour_departure_shift_effects 0.106 0.0224 4.71*** 0.00
coef_escort_tour_arrival_constants_am_peak 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_early 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_evening-0.879 0.304-2.89** 0.00
coef_escort_tour_arrival_constants_late-1.25 0.579-2.17* 0.00
coef_escort_tour_arrival_constants_midday_1 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_midday_2 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_1 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_2 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_3 0.00 NA NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_4 0.00 NA NA 0.00fixed value
coef_escort_tour_departure_constants_am_peak_1 0.704 0.317 2.22* 0.00
coef_escort_tour_departure_constants_am_peak_2 2.28 0.192 11.84*** 0.00
coef_escort_tour_departure_constants_am_peak_3 2.30 0.187 12.28*** 0.00
coef_escort_tour_departure_constants_am_peak_4 0.493 0.316 1.56 0.00
coef_escort_tour_departure_constants_early-0.494 0.566-0.87 0.00
coef_escort_tour_departure_constants_evening-4.80 0.503-9.55*** 0.00
coef_escort_tour_departure_constants_late-6.86 1.10-6.23*** 0.00
coef_escort_tour_departure_constants_midday_1 0.746 0.165 4.53*** 0.00
coef_escort_tour_departure_constants_midday_2 0.00 NA NA 0.00fixed value
coef_escort_tour_departure_constants_pm_peak-1.82 0.210-8.67*** 0.00
coef_escort_tour_duration_constants_0_to_1_hours 0.00 NA NA 0.00fixed value
coef_escort_tour_duration_constants_11_to_13_hours-6.39 0.808-7.92*** 0.00
coef_escort_tour_duration_constants_14_to_18_hours-9.42 1.63-5.78*** 0.00
coef_escort_tour_duration_constants_2_to_3_hours-2.60 0.212-12.27*** 0.00
coef_escort_tour_duration_constants_4_to_5_hours-3.52 0.319-11.05*** 0.00
coef_escort_tour_duration_constants_6_to_7_hours-3.98 0.379-10.49*** 0.00
coef_escort_tour_duration_constants_8_to_10_hours-5.16 0.492-10.47*** 0.00
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect-0.285 0.0225-12.67*** 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.00499 0.000948 5.27*** 0.00
coef_maintenance_tour_depart_before_7 0.0420 0.359 0.12 0.00
coef_maintenance_tour_departure_shift_effects-0.0366 0.0193-1.90 0.00
coef_maintenance_tour_duration_shift_effects-0.116 0.0298-3.89*** 0.00
coef_number_of_escort_tours_departure_shift_effects 0.115 0.00964 11.95*** 0.00
coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects 0.104 0.00667 15.64*** 0.00
coef_number_of_joint_tours_departure_shift_effects 0.122 0.0296 4.12*** 0.00
coef_number_of_mandatory_tours_departure_shift_effects 0.171 0.0125 13.63*** 0.00
coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours 5.64 0.804 7.02*** 0.00
coef_school_child_age_16_plus_departure_shift_effects 0.000283 0.112 0.00 0.00
coef_school_child_age_16_plus_duration_shift_effects 0.306 0.0952 3.22** 0.00
coef_school_child_age_under_16_departure_shift_effects 0.111 0.0367 3.02** 0.00
coef_school_child_age_under_16_duration_shift_effects 0.338 0.0418 8.10*** 0.00
coef_school_child_under_16_arrive_after_22-0.402 0.480-0.84 0.00
coef_shopping_tour_arrive_after_22-2.55 1.01-2.52* 0.00
coef_shopping_tour_depart_before_8-0.787 0.254-3.10** 0.00
coef_shopping_tour_departure_shift_effects 0.0151 0.0182 0.83 0.00
coef_shopping_tour_duration_lt_2_hours 0.943 0.144 6.55*** 0.00
coef_shopping_tour_duration_shift_effects-0.0753 0.0296-2.55* 0.00
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour-0.0544 0.0946-0.58 0.00
coef_some_previously_scheduled_tour_ends_in_this_departure_hour-0.346 0.0763-4.53*** 0.00
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect-0.115 0.0570-2.02* 0.00
coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends-999. NA NA 0.00fixed value
coef_university_student_arrive_after_22-0.537 0.853-0.63 0.00
coef_visit_tour_departure_shift_effects 0.170 0.0312 5.44*** 0.00
coef_visit_tour_duration_shift_effects 0.156 0.0369 4.22*** 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_adjacent_window_exists_after_this_arrival_hour_first_tour_interaction 0.127 0.0994 1.27 0.00
coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction-0.610 0.0968-6.30*** 0.00
coef_adjacent_window_exists_before_this_departure_hour_first_tour_interaction 0.114 0.0850 1.34 0.00
coef_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interaction 0.387 0.0868 4.45*** 0.00
coef_adult_with_children_in_hh_arrive_19_21 0.281 0.0376 7.47*** 0.00
coef_arrival_constants_am_peak-1.62 0.104-15.66*** 0.00
coef_arrival_constants_early 0.00617 0.146 0.04 0.00
coef_arrival_constants_evening 0.00 0.00 NA 0.00fixed value
coef_arrival_constants_late-0.817 0.0418-19.58*** 0.00
coef_arrival_constants_midday_1 0.0505 0.0730 0.69 0.00
coef_arrival_constants_midday_2 0.512 0.0562 9.12*** 0.00
coef_arrival_constants_pm_peak_1 0.638 0.0500 12.74*** 0.00
coef_arrival_constants_pm_peak_2 0.624 0.0421 14.82*** 0.00
coef_arrival_constants_pm_peak_3 0.299 0.0377 7.95*** 0.00
coef_arrival_constants_pm_peak_4 0.0860 0.0339 2.53* 0.00
coef_departure_constants_am_peak_1-0.564 0.115-4.91*** 0.00
coef_departure_constants_am_peak_2 0.618 0.0862 7.17*** 0.00
coef_departure_constants_am_peak_3 1.08 0.0750 14.36*** 0.00
coef_departure_constants_am_peak_4 0.968 0.0684 14.16*** 0.00
coef_departure_constants_early-1.39 0.133-10.46*** 0.00
coef_departure_constants_evening-1.69 0.0406-41.61*** 0.00
coef_departure_constants_late-4.31 0.172-25.06*** 0.00
coef_departure_constants_midday_1 0.803 0.0524 15.33*** 0.00
coef_departure_constants_midday_2 0.328 0.0342 9.58*** 0.00
coef_departure_constants_pm_peak 0.00 0.00 NA 0.00fixed value
coef_destination_in_cbd_duration_shift_effects 0.110 0.00846 13.02*** 0.00
coef_discretionary_tour_duration_lt_2_hours-0.713 0.0444-16.04*** 0.00
coef_duration_constants_0_to_1_hours 0.00 0.00 NA 0.00fixed value
coef_duration_constants_11_to_13_hours-1.00 0.115-8.70*** 0.00
coef_duration_constants_14_to_18_hours-1.20 0.192-6.28*** 0.00
coef_duration_constants_2_to_3_hours-0.0649 0.0325-2.00* 0.00
coef_duration_constants_4_to_5_hours-0.718 0.0457-15.71*** 0.00
coef_duration_constants_6_to_7_hours-1.11 0.0630-17.62*** 0.00
coef_duration_constants_8_to_10_hours-0.954 0.0817-11.68*** 0.00
coef_eat_out_tour_departure_shift_effects 0.0651 0.00756 8.61*** 0.00
coef_escort_tour_arrival_constants_am_peak 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_early 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_evening-0.305 0.0678-4.51*** 0.00
coef_escort_tour_arrival_constants_late-0.705 0.132-5.34*** 0.00
coef_escort_tour_arrival_constants_midday_1 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_midday_2 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_1 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_2 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_3 0.00 0.00 NA 0.00fixed value
coef_escort_tour_arrival_constants_pm_peak_4 0.00 0.00 NA 0.00fixed value
coef_escort_tour_departure_constants_am_peak_1-0.875 0.0968-9.04*** 0.00
coef_escort_tour_departure_constants_am_peak_2 1.00 0.0627 15.99*** 0.00
coef_escort_tour_departure_constants_am_peak_3 1.43 0.0560 25.58*** 0.00
coef_escort_tour_departure_constants_am_peak_4-0.0763 0.0774-0.99 0.00
coef_escort_tour_departure_constants_early-1.24 0.114-10.89*** 0.00
coef_escort_tour_departure_constants_evening-3.66 0.115-31.78*** 0.00
coef_escort_tour_departure_constants_late-7.40 0.594-12.45*** 0.00
coef_escort_tour_departure_constants_midday_1 0.186 0.0464 4.00*** 0.00
coef_escort_tour_departure_constants_midday_2 0.00 0.00 NA 0.00fixed value
coef_escort_tour_departure_constants_pm_peak-1.17 0.0525-22.33*** 0.00
coef_escort_tour_duration_constants_0_to_1_hours 0.00 0.00 NA 0.00fixed value
coef_escort_tour_duration_constants_11_to_13_hours-2.82 0.160-17.67*** 0.00
coef_escort_tour_duration_constants_14_to_18_hours-2.49 0.263-9.48*** 0.00
coef_escort_tour_duration_constants_2_to_3_hours-2.03 0.0487-41.65*** 0.00
coef_escort_tour_duration_constants_4_to_5_hours-2.94 0.0862-34.13*** 0.00
coef_escort_tour_duration_constants_6_to_7_hours-3.10 0.108-28.63*** 0.00
coef_escort_tour_duration_constants_8_to_10_hours-3.10 0.116-26.68*** 0.00
coef_first_of_2_plus_tours_for_same_purpose_departure_shift_effect-0.272 0.00757-36.01*** 0.00
coef_free_flow_round_trip_auto_time_shift_effects_duration 0.00433 0.000116 37.30*** 0.00
coef_maintenance_tour_depart_before_7-0.819 0.121-6.78*** 0.00
coef_maintenance_tour_departure_shift_effects-0.140 0.00739-18.98*** 0.00
coef_maintenance_tour_duration_shift_effects-0.0681 0.00931-7.32*** 0.00
coef_number_of_escort_tours_departure_shift_effects 0.0556 0.00378 14.70*** 0.00
coef_number_of_individual_non_mandatory_tours_excluding_escort_departure_shift_effects 0.0542 0.00268 20.25*** 0.00
coef_number_of_joint_tours_departure_shift_effects 0.0293 0.00871 3.36*** 0.00
coef_number_of_mandatory_tours_departure_shift_effects 0.0313 0.00474 6.60*** 0.00
coef_ratio_of_individual_non_mandatory_tours_to_be_scheduled_to_number_of_unscheduled_hours-13.6 0.746-18.26*** 0.00
coef_school_child_age_16_plus_departure_shift_effects 0.0860 0.0191 4.51*** 0.00
coef_school_child_age_16_plus_duration_shift_effects 0.251 0.0205 12.25*** 0.00
coef_school_child_age_under_16_departure_shift_effects 0.0532 0.00949 5.60*** 0.00
coef_school_child_age_under_16_duration_shift_effects 0.312 0.0106 29.41*** 0.00
coef_school_child_under_16_arrive_after_22-1.10 0.170-6.44*** 0.00
coef_shopping_tour_arrive_after_22-0.583 0.148-3.95*** 0.00
coef_shopping_tour_depart_before_8-1.17 0.0899-13.03*** 0.00
coef_shopping_tour_departure_shift_effects-0.0610 0.00644-9.48*** 0.00
coef_shopping_tour_duration_lt_2_hours 0.406 0.0459 8.83*** 0.00
coef_shopping_tour_duration_shift_effects-0.113 0.00985-11.49*** 0.00
coef_some_previously_scheduled_tour_begins_in_this_arrival_hour-0.260 0.0337-7.71*** 0.00
coef_some_previously_scheduled_tour_ends_in_this_departure_hour-0.317 0.0252-12.58*** 0.00
coef_subsequent_of_2_plus_tours_for_same_purpose_duration_shift_effect-0.281 0.0193-14.55*** 0.00
coef_subsequent_tour_must_start_after_previous_tour_for_this_purpose_ends-999. 0.00 NA 0.00fixed value
coef_university_student_arrive_after_22 0.610 0.171 3.57*** 0.00
coef_visit_tour_departure_shift_effects 0.0804 0.00979 8.21*** 0.00
coef_visit_tour_duration_shift_effects 0.141 0.0115 12.20*** 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -3090,7 +3363,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -3111,20 +3384,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3143,7 +3405,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -3188,19 +3450,19 @@ " \n", " 2\n", " coef_free_flow_round_trip_auto_time_shift_effe...\n", - " 0.004992\n", + " 0.004326\n", " F\n", " \n", " \n", " 3\n", " coef_shopping_tour_departure_shift_effects\n", - " 0.015067\n", + " -0.061028\n", " F\n", " \n", " \n", " 4\n", " coef_shopping_tour_duration_shift_effects\n", - " -0.075331\n", + " -0.113223\n", " F\n", " \n", " \n", @@ -3212,31 +3474,31 @@ " \n", " 85\n", " coef_escort_tour_duration_constants_4_to_5_hours\n", - " -3.522889\n", + " -2.941739\n", " F\n", " \n", " \n", " 86\n", " coef_escort_tour_duration_constants_6_to_7_hours\n", - " -3.979277\n", + " -3.103903\n", " F\n", " \n", " \n", " 87\n", " coef_escort_tour_duration_constants_8_to_10_hours\n", - " -5.158316\n", + " -3.097454\n", " F\n", " \n", " \n", " 88\n", " coef_escort_tour_duration_constants_11_to_13_h...\n", - " -6.393148\n", + " -2.821199\n", " F\n", " \n", " \n", " 89\n", " coef_escort_tour_duration_constants_14_to_18_h...\n", - " -9.419793\n", + " -2.493843\n", " F\n", " \n", " \n", @@ -3248,20 +3510,20 @@ " coefficient_name value constrain\n", "0 coef_dummy 1.000000 T\n", "1 coef_subsequent_tour_must_start_after_previous... -999.000000 T\n", - "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.004992 F\n", - "3 coef_shopping_tour_departure_shift_effects 0.015067 F\n", - "4 coef_shopping_tour_duration_shift_effects -0.075331 F\n", + "2 coef_free_flow_round_trip_auto_time_shift_effe... 0.004326 F\n", + "3 coef_shopping_tour_departure_shift_effects -0.061028 F\n", + "4 coef_shopping_tour_duration_shift_effects -0.113223 F\n", ".. ... ... ...\n", - "85 coef_escort_tour_duration_constants_4_to_5_hours -3.522889 F\n", - "86 coef_escort_tour_duration_constants_6_to_7_hours -3.979277 F\n", - "87 coef_escort_tour_duration_constants_8_to_10_hours -5.158316 F\n", - "88 coef_escort_tour_duration_constants_11_to_13_h... -6.393148 F\n", - "89 coef_escort_tour_duration_constants_14_to_18_h... -9.419793 F\n", + "85 coef_escort_tour_duration_constants_4_to_5_hours -2.941739 F\n", + "86 coef_escort_tour_duration_constants_6_to_7_hours -3.103903 F\n", + "87 coef_escort_tour_duration_constants_8_to_10_hours -3.097454 F\n", + "88 coef_escort_tour_duration_constants_11_to_13_h... -2.821199 F\n", + "89 coef_escort_tour_duration_constants_14_to_18_h... -2.493843 F\n", "\n", "[90 rows x 3 columns]" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -3278,7 +3540,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3292,7 +3554,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/17_tour_mode_choice.ipynb b/activitysim/examples/example_estimation/notebooks/17_tour_mode_choice.ipynb index e502d50ff..766538fa4 100644 --- a/activitysim/examples/example_estimation/notebooks/17_tour_mode_choice.ipynb +++ b/activitysim/examples/example_estimation/notebooks/17_tour_mode_choice.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,28 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/tour_mode_choice/tour_mode_choice_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/tour_mode_choice/tour_mode_choice_coefficients_template.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/tour_mode_choice/tour_mode_choice_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/tour_mode_choice/tour_mode_choice_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"tour_mode_choice\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -88,9 +151,24 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_mode_choice/tour_mode_choice_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_mode_choice/atwork_subtour_mode_choice_coefficients_template.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/atwork_subtour_mode_choice/atwork_subtour_mode_choice_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_mode_choice/atwork_subtour_mode_choice_values_combined.parquet\n" + ] + } + ], "source": [ - "model2, data2 = component_model(\"atwork_subtour_mode_choice\", return_data=True)" + "model2, data2 = component_model(\n", + " \"atwork_subtour_mode_choice\", \n", + " edb_directory=\"output-est-mode/estimation_data_bundle/atwork_subtour_mode_choice\",\n", + " return_data=True,\n", + " )" ] }, { @@ -715,6 +793,7 @@ " util_DRIVEALONEFREE_Terminal_time\n", " util_DRIVEALONEFREE_Operating_cost\n", " ...\n", + " walk_lrf_available\n", " walk_ferry_available\n", " drive_local_available\n", " drive_commuter_available\n", @@ -723,7 +802,6 @@ " drive_lrf_available\n", " drive_ferry_available\n", " destination_in_cbd\n", - " tour_id.1\n", " override_choice_code\n", " \n", " \n", @@ -753,91 +831,92 @@ " \n", " \n", " \n", - " 6812\n", - " WALK\n", - " WALK\n", + " 1870\n", + " SHARED3FREE\n", + " SHARED3FREE\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 5.480000\n", - " 15.45016\n", - " 2.156258\n", + " 0.0\n", + " 20.830002\n", + " 21.26572\n", + " 6.293324\n", " ...\n", " False\n", " False\n", + " True\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " False\n", " False\n", " 1\n", - " 6812\n", - " 7\n", + " 5\n", " \n", " \n", - " 8110\n", - " WALK\n", - " WALK\n", + " 20468\n", + " SHARED3FREE\n", + " TNC_SINGLE\n", + " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 8.860000\n", - " 34.19784\n", - " 17.722496\n", + " 9.440000\n", + " 13.24624\n", + " 14.917349\n", " ...\n", " False\n", " False\n", + " True\n", + " True\n", " False\n", - " False\n", - " False\n", + " True\n", " False\n", " False\n", " 0\n", - " 8110\n", - " 7\n", + " 20\n", " \n", " \n", - " 11013\n", - " DRIVEALONEFREE\n", - " DRIVEALONEFREE\n", + " 27055\n", + " SHARED3FREE\n", + " SHARED3FREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 20.689999\n", - " 18.17320\n", - " 15.097005\n", + " 13.160000\n", + " 8.53068\n", + " 25.088453\n", " ...\n", " False\n", + " False\n", " True\n", " True\n", " False\n", " True\n", " False\n", " False\n", - " 1\n", - " 11013\n", - " 1\n", + " 0\n", + " 5\n", " \n", " \n", - " 11016\n", - " DRIVEALONEFREE\n", - " DRIVEALONEFREE\n", + " 38877\n", + " SHARED2FREE\n", + " SHARED3FREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 14.710000\n", - " 12.85052\n", - " 10.971117\n", + " 6.730000\n", + " 11.04132\n", + " 11.040045\n", " ...\n", " False\n", + " False\n", " True\n", " True\n", " False\n", @@ -845,32 +924,31 @@ " False\n", " False\n", " 0\n", - " 11016\n", - " 1\n", + " 5\n", " \n", " \n", - " 15403\n", - " DRIVEALONEFREE\n", - " DRIVEALONEFREE\n", + " 38904\n", + " SHARED2FREE\n", + " SHARED2FREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 15.160000\n", - " 10.64808\n", - " 26.092745\n", + " 22.410000\n", + " 17.29320\n", + " 46.920191\n", " ...\n", + " True\n", " False\n", " True\n", " True\n", " False\n", " True\n", - " False\n", + " True\n", " False\n", " 0\n", - " 15403\n", - " 1\n", + " 3\n", " \n", " \n", " ...\n", @@ -897,7 +975,7 @@ " ...\n", " \n", " \n", - " 309760814\n", + " 310197956\n", " DRIVEALONEFREE\n", " DRIVEALONEFREE\n", " 0.0\n", @@ -905,95 +983,95 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 24.510000\n", - " 11.41364\n", - " 27.217999\n", + " 29.900002\n", + " 4.21092\n", + " 69.245528\n", " ...\n", " False\n", - " True\n", - " True\n", " False\n", - " True\n", + " False\n", + " False\n", + " False\n", + " False\n", " False\n", " False\n", " 0\n", - " 309760814\n", " 1\n", " \n", " \n", - " 309760815\n", - " SHARED2FREE\n", - " SHARED2FREE\n", + " 310202376\n", + " DRIVEALONEFREE\n", + " BIKE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 19.349998\n", - " 16.96372\n", - " 14.591494\n", + " 5.480000\n", + " 3.82392\n", + " 19.277738\n", " ...\n", " False\n", - " True\n", - " True\n", " False\n", - " True\n", " False\n", " False\n", - " 1\n", - " 309760815\n", - " 3\n", + " False\n", + " False\n", + " False\n", + " False\n", + " 0\n", + " 8\n", " \n", " \n", - " 309790009\n", - " BIKE\n", - " BIKE\n", + " 310202384\n", + " DRIVEALONEFREE\n", + " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 21.410000\n", - " 19.44384\n", - " 84.280323\n", + " 5.480000\n", + " 3.82392\n", + " 19.277738\n", " ...\n", " False\n", - " True\n", - " True\n", " False\n", - " True\n", " False\n", " False\n", + " False\n", + " False\n", + " False\n", + " False\n", + " 0\n", " 1\n", - " 309790009\n", - " 8\n", " \n", " \n", - " 309796968\n", - " SHARED3FREE\n", - " SHARED3FREE\n", + " 310212634\n", + " DRIVEALONEFREE\n", + " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 17.340000\n", - " 13.66872\n", - " 30.549632\n", + " 12.840000\n", + " 5.32256\n", + " 5.457677\n", " ...\n", " False\n", + " False\n", + " False\n", " True\n", " True\n", " False\n", - " True\n", " False\n", " False\n", " 0\n", - " 309796968\n", - " 5\n", + " 1\n", " \n", " \n", - " 309796969\n", + " 310220296\n", " DRIVEALONEFREE\n", " DRIVEALONEFREE\n", " 0.0\n", @@ -1001,196 +1079,196 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 8.000000\n", - " 10.00692\n", - " 18.758547\n", + " 13.590000\n", + " 8.05768\n", + " 15.684208\n", " ...\n", " False\n", - " True\n", - " True\n", + " False\n", + " False\n", " False\n", " True\n", " False\n", " False\n", + " False\n", " 0\n", - " 309796969\n", " 1\n", " \n", " \n", "\n", - "

5314 rows × 535 columns

\n", + "

63935 rows × 536 columns

\n", "" ], "text/plain": [ " model_choice override_choice util_DRIVEALONEFREE_Unavailable \\\n", "tour_id \n", - "6812 WALK WALK 0.0 \n", - "8110 WALK WALK 0.0 \n", - "11013 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", - "11016 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", - "15403 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", + "1870 SHARED3FREE SHARED3FREE 0.0 \n", + "20468 SHARED3FREE TNC_SINGLE 0.0 \n", + "27055 SHARED3FREE SHARED3FREE 0.0 \n", + "38877 SHARED2FREE SHARED3FREE 0.0 \n", + "38904 SHARED2FREE SHARED2FREE 0.0 \n", "... ... ... ... \n", - "309760814 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", - "309760815 SHARED2FREE SHARED2FREE 0.0 \n", - "309790009 BIKE BIKE 0.0 \n", - "309796968 SHARED3FREE SHARED3FREE 0.0 \n", - "309796969 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", + "310197956 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", + "310202376 DRIVEALONEFREE BIKE 0.0 \n", + "310202384 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", + "310212634 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", + "310220296 DRIVEALONEFREE DRIVEALONEFREE 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_zero_auto_households \\\n", "tour_id \n", - "6812 1.0 \n", - "8110 1.0 \n", - "11013 0.0 \n", - "11016 0.0 \n", - "15403 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", + "38877 0.0 \n", + "38904 0.0 \n", "... ... \n", - "309760814 0.0 \n", - "309760815 0.0 \n", - "309790009 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", + "310197956 0.0 \n", + "310202376 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_persons_less_than_16 \\\n", "tour_id \n", - "6812 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", - "11016 0.0 \n", - "15403 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", + "38877 0.0 \n", + "38904 0.0 \n", "... ... \n", - "309760814 0.0 \n", - "309760815 0.0 \n", - "309790009 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", + "310197956 0.0 \n", + "310202376 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_joint_tours \\\n", "tour_id \n", - "6812 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", - "11016 0.0 \n", - "15403 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", + "38877 0.0 \n", + "38904 0.0 \n", "... ... \n", - "309760814 0.0 \n", - "309760815 0.0 \n", - "309790009 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", + "310197956 0.0 \n", + "310202376 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_if_didnt_drive_to_work \\\n", "tour_id \n", - "6812 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", - "11016 0.0 \n", - "15403 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", + "38877 0.0 \n", + "38904 0.0 \n", "... ... \n", - "309760814 0.0 \n", - "309760815 0.0 \n", - "309790009 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", + "310197956 0.0 \n", + "310202376 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_In_vehicle_time \\\n", "tour_id \n", - "6812 5.480000 \n", - "8110 8.860000 \n", - "11013 20.689999 \n", - "11016 14.710000 \n", - "15403 15.160000 \n", + "1870 20.830002 \n", + "20468 9.440000 \n", + "27055 13.160000 \n", + "38877 6.730000 \n", + "38904 22.410000 \n", "... ... \n", - "309760814 24.510000 \n", - "309760815 19.349998 \n", - "309790009 21.410000 \n", - "309796968 17.340000 \n", - "309796969 8.000000 \n", + "310197956 29.900002 \n", + "310202376 5.480000 \n", + "310202384 5.480000 \n", + "310212634 12.840000 \n", + "310220296 13.590000 \n", "\n", " util_DRIVEALONEFREE_Terminal_time \\\n", "tour_id \n", - "6812 15.45016 \n", - "8110 34.19784 \n", - "11013 18.17320 \n", - "11016 12.85052 \n", - "15403 10.64808 \n", + "1870 21.26572 \n", + "20468 13.24624 \n", + "27055 8.53068 \n", + "38877 11.04132 \n", + "38904 17.29320 \n", "... ... \n", - "309760814 11.41364 \n", - "309760815 16.96372 \n", - "309790009 19.44384 \n", - "309796968 13.66872 \n", - "309796969 10.00692 \n", + "310197956 4.21092 \n", + "310202376 3.82392 \n", + "310202384 3.82392 \n", + "310212634 5.32256 \n", + "310220296 8.05768 \n", "\n", - " util_DRIVEALONEFREE_Operating_cost ... walk_ferry_available \\\n", - "tour_id ... \n", - "6812 2.156258 ... False \n", - "8110 17.722496 ... False \n", - "11013 15.097005 ... False \n", - "11016 10.971117 ... False \n", - "15403 26.092745 ... False \n", - "... ... ... ... \n", - "309760814 27.217999 ... False \n", - "309760815 14.591494 ... False \n", - "309790009 84.280323 ... False \n", - "309796968 30.549632 ... False \n", - "309796969 18.758547 ... False \n", + " util_DRIVEALONEFREE_Operating_cost ... walk_lrf_available \\\n", + "tour_id ... \n", + "1870 6.293324 ... False \n", + "20468 14.917349 ... False \n", + "27055 25.088453 ... False \n", + "38877 11.040045 ... False \n", + "38904 46.920191 ... True \n", + "... ... ... ... \n", + "310197956 69.245528 ... False \n", + "310202376 19.277738 ... False \n", + "310202384 19.277738 ... False \n", + "310212634 5.457677 ... False \n", + "310220296 15.684208 ... False \n", "\n", - " drive_local_available drive_commuter_available \\\n", - "tour_id \n", - "6812 False False \n", - "8110 False False \n", - "11013 True True \n", - "11016 True True \n", - "15403 True True \n", - "... ... ... \n", - "309760814 True True \n", - "309760815 True True \n", - "309790009 True True \n", - "309796968 True True \n", - "309796969 True True \n", + " walk_ferry_available drive_local_available \\\n", + "tour_id \n", + "1870 False True \n", + "20468 False True \n", + "27055 False True \n", + "38877 False True \n", + "38904 False True \n", + "... ... ... \n", + "310197956 False False \n", + "310202376 False False \n", + "310202384 False False \n", + "310212634 False False \n", + "310220296 False False \n", "\n", - " drive_express_available drive_heavyrail_available \\\n", - "tour_id \n", - "6812 False False \n", - "8110 False False \n", - "11013 False True \n", - "11016 False True \n", - "15403 False True \n", - "... ... ... \n", - "309760814 False True \n", - "309760815 False True \n", - "309790009 False True \n", - "309796968 False True \n", - "309796969 False True \n", + " drive_commuter_available drive_express_available \\\n", + "tour_id \n", + "1870 True False \n", + "20468 True False \n", + "27055 True False \n", + "38877 True False \n", + "38904 True False \n", + "... ... ... \n", + "310197956 False False \n", + "310202376 False False \n", + "310202384 False False \n", + "310212634 True True \n", + "310220296 False True \n", "\n", - " drive_lrf_available drive_ferry_available destination_in_cbd \\\n", - "tour_id \n", - "6812 False False 1 \n", - "8110 False False 0 \n", - "11013 False False 1 \n", - "11016 False False 0 \n", - "15403 False False 0 \n", - "... ... ... ... \n", - "309760814 False False 0 \n", - "309760815 False False 1 \n", - "309790009 False False 1 \n", - "309796968 False False 0 \n", - "309796969 False False 0 \n", + " drive_heavyrail_available drive_lrf_available \\\n", + "tour_id \n", + "1870 True False \n", + "20468 True False \n", + "27055 True False \n", + "38877 True False \n", + "38904 True True \n", + "... ... ... \n", + "310197956 False False \n", + "310202376 False False \n", + "310202384 False False \n", + "310212634 False False \n", + "310220296 False False \n", "\n", - " tour_id.1 override_choice_code \n", - "tour_id \n", - "6812 6812 7 \n", - "8110 8110 7 \n", - "11013 11013 1 \n", - "11016 11016 1 \n", - "15403 15403 1 \n", - "... ... ... \n", - "309760814 309760814 1 \n", - "309760815 309760815 3 \n", - "309790009 309790009 8 \n", - "309796968 309796968 5 \n", - "309796969 309796969 1 \n", + " drive_ferry_available destination_in_cbd override_choice_code \n", + "tour_id \n", + "1870 False 1 5 \n", + "20468 False 0 20 \n", + "27055 False 0 5 \n", + "38877 False 0 5 \n", + "38904 False 0 3 \n", + "... ... ... ... \n", + "310197956 False 0 1 \n", + "310202376 False 0 8 \n", + "310202384 False 0 1 \n", + "310212634 False 0 1 \n", + "310220296 False 0 1 \n", "\n", - "[5314 rows x 535 columns]" + "[63935 rows x 536 columns]" ] }, "execution_count": 8, @@ -1216,88 +1294,20 @@ "execution_count": 9, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "problem: chosen-but-not-available (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n" - ] - }, { "data": { "text/plain": [ - "[(,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 12 2 45, 312\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 58 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 87 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 4 66, 184, 222\n", - " ┃ 12 3 205, 394, 560\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 56 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 4 25, 73, 98\n", - " ┃ 12 2 129, 320\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 57 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 25 3, 108, 145\n", - " ┃ 12 5 10, 23, 135\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 88 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 5 118, 300, 303\n", - " ┃ 12 1 252\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 54 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 3 71, 163, 170\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 65 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (, dictx()),\n", - " (,\n", - " ┣ chosen_but_not_available: n example rows\n", - " ┃ 10 36 21, 23, 95\n", - " ┃ 12 15 46, 243, 449\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 108 util_BIKE_Unavailable_if_didnt_bike_to_work, u...),\n", - " (,\n", - " ┣ low_variance_data_co: n example cols\n", - " ┃ low_variance_co 106 util_Commuter_Rail, util_DRIVEALONEFREE_Unavai...)]" + "(,\n", + " [(, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx()),\n", + " (, dictx())])" ] }, "execution_count": 9, @@ -1306,7 +1316,6 @@ } ], "source": [ - "model.load_data()\n", "model.doctor(repair_ch_av=\"-\")" ] }, @@ -1318,7 +1327,7 @@ { "data": { "text/html": [ - "

Iteration 168 [Optimization terminated successfully]

" + "

Iteration 186 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1330,7 +1339,7 @@ { "data": { "text/html": [ - "

Best LL = -6324.409943103907

" + "

Best LL = -76504.13129817661

" ], "text/plain": [ "" @@ -1361,13 +1370,22 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -1375,56 +1393,51 @@ " -999\n", " -999.000000\n", " -999.000000\n", + " -999.000000\n", " -999.0\n", " -999.0\n", - " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " 1\n", " 1.000000\n", " 1.000000\n", + " 1.000000\n", " 1.0\n", " 1.0\n", - " 1.0\n", + " 0.0\n", " 1\n", - " \n", - " 1.000000\n", " \n", " \n", - " bike_ASC_auto_deficient_eatout\n", - " -95.051842\n", - " -1.569111\n", + " bike_ASC_auto_deficient_atwork\n", + " -0.997746\n", + " -0.997746\n", + " -0.807408\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -95.051842\n", " \n", " \n", - " bike_ASC_auto_sufficient_eatout\n", - " -1.464118\n", - " -1.200347\n", + " bike_ASC_auto_deficient_eatout\n", + " -1.673695\n", + " -1.673695\n", + " -1.569111\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.464118\n", " \n", " \n", - " bike_ASC_no_auto_eatout\n", - " 7.201849\n", - " 0.868071\n", + " bike_ASC_auto_deficient_escort\n", + " -4.147119\n", + " -4.147119\n", + " -4.527928\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 7.201849\n", " \n", " \n", " ...\n", @@ -1435,113 +1448,133 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " walk_ASC_no_auto_atwork\n", - " 12.824109\n", - " 6.669213\n", + " walk_transit_ASC_no_auto_work\n", + " 4.665799\n", + " 4.665799\n", + " 5.035417\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 12.824109\n", " \n", " \n", - " walk_transit_ASC_auto_deficient_atwork\n", - " 8.985177\n", - " -2.998829\n", + " walk_transit_CBD_ASC_atwork\n", + " 1.146544\n", + " 1.146544\n", + " 0.564000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 8.985177\n", " \n", " \n", - " walk_transit_ASC_auto_sufficient_atwork\n", - " 9.127996\n", - " -3.401027\n", + " walk_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social\n", + " 1.074027\n", + " 1.074027\n", + " 0.525000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 9.127996\n", " \n", " \n", - " walk_transit_ASC_no_auto_atwork\n", - " 21.234896\n", - " 2.704188\n", + " walk_transit_CBD_ASC_school_univ\n", + " 0.818861\n", + " 0.818861\n", + " 0.672000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 21.234896\n", " \n", " \n", - " walk_transit_CBD_ASC_atwork\n", - " 0.351949\n", - " 0.564000\n", + " walk_transit_CBD_ASC_work\n", + " 1.158108\n", + " 1.158108\n", + " 0.804000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.351949\n", " \n", " \n", "\n", - "

301 rows × 8 columns

\n", + "

301 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue nullvalue \\\n", - "-999 -999.000000 -999.000000 -999.0 \n", - "1 1.000000 1.000000 1.0 \n", - "bike_ASC_auto_deficient_eatout -95.051842 -1.569111 0.0 \n", - "bike_ASC_auto_sufficient_eatout -1.464118 -1.200347 0.0 \n", - "bike_ASC_no_auto_eatout 7.201849 0.868071 0.0 \n", - "... ... ... ... \n", - "walk_ASC_no_auto_atwork 12.824109 6.669213 0.0 \n", - "walk_transit_ASC_auto_deficient_atwork 8.985177 -2.998829 0.0 \n", - "walk_transit_ASC_auto_sufficient_atwork 9.127996 -3.401027 0.0 \n", - "walk_transit_ASC_no_auto_atwork 21.234896 2.704188 0.0 \n", - "walk_transit_CBD_ASC_atwork 0.351949 0.564000 0.0 \n", + " value best \\\n", + "param_name \n", + "-999 -999.000000 -999.000000 \n", + "1 1.000000 1.000000 \n", + "bike_ASC_auto_deficient_atwork -0.997746 -0.997746 \n", + "bike_ASC_auto_deficient_eatout -1.673695 -1.673695 \n", + "bike_ASC_auto_deficient_escort -4.147119 -4.147119 \n", + "... ... ... \n", + "walk_transit_ASC_no_auto_work 4.665799 4.665799 \n", + "walk_transit_CBD_ASC_atwork 1.146544 1.146544 \n", + "walk_transit_CBD_ASC_eatout_escort_othdiscr_oth... 1.074027 1.074027 \n", + "walk_transit_CBD_ASC_school_univ 0.818861 0.818861 \n", + "walk_transit_CBD_ASC_work 1.158108 1.158108 \n", "\n", - " minimum maximum holdfast note \\\n", - "-999 -999.0 -999.0 1 \n", - "1 1.0 1.0 1 \n", - "bike_ASC_auto_deficient_eatout NaN NaN 0 \n", - "bike_ASC_auto_sufficient_eatout NaN NaN 0 \n", - "bike_ASC_no_auto_eatout NaN NaN 0 \n", - "... ... ... ... ... \n", - "walk_ASC_no_auto_atwork NaN NaN 0 \n", - "walk_transit_ASC_auto_deficient_atwork NaN NaN 0 \n", - "walk_transit_ASC_auto_sufficient_atwork NaN NaN 0 \n", - "walk_transit_ASC_no_auto_atwork NaN NaN 0 \n", - "walk_transit_CBD_ASC_atwork NaN NaN 0 \n", + " initvalue minimum \\\n", + "param_name \n", + "-999 -999.000000 -999.0 \n", + "1 1.000000 1.0 \n", + "bike_ASC_auto_deficient_atwork -0.807408 -inf \n", + "bike_ASC_auto_deficient_eatout -1.569111 -inf \n", + "bike_ASC_auto_deficient_escort -4.527928 -inf \n", + "... ... ... \n", + "walk_transit_ASC_no_auto_work 5.035417 -inf \n", + "walk_transit_CBD_ASC_atwork 0.564000 -inf \n", + "walk_transit_CBD_ASC_eatout_escort_othdiscr_oth... 0.525000 -inf \n", + "walk_transit_CBD_ASC_school_univ 0.672000 -inf \n", + "walk_transit_CBD_ASC_work 0.804000 -inf \n", "\n", - " best \n", - "-999 -999.000000 \n", - "1 1.000000 \n", - "bike_ASC_auto_deficient_eatout -95.051842 \n", - "bike_ASC_auto_sufficient_eatout -1.464118 \n", - "bike_ASC_no_auto_eatout 7.201849 \n", - "... ... \n", - "walk_ASC_no_auto_atwork 12.824109 \n", - "walk_transit_ASC_auto_deficient_atwork 8.985177 \n", - "walk_transit_ASC_auto_sufficient_atwork 9.127996 \n", - "walk_transit_ASC_no_auto_atwork 21.234896 \n", - "walk_transit_CBD_ASC_atwork 0.351949 \n", + " maximum nullvalue \\\n", + "param_name \n", + "-999 -999.0 0.0 \n", + "1 1.0 0.0 \n", + "bike_ASC_auto_deficient_atwork inf 0.0 \n", + "bike_ASC_auto_deficient_eatout inf 0.0 \n", + "bike_ASC_auto_deficient_escort inf 0.0 \n", + "... ... ... \n", + "walk_transit_ASC_no_auto_work inf 0.0 \n", + "walk_transit_CBD_ASC_atwork inf 0.0 \n", + "walk_transit_CBD_ASC_eatout_escort_othdiscr_oth... inf 0.0 \n", + "walk_transit_CBD_ASC_school_univ inf 0.0 \n", + "walk_transit_CBD_ASC_work inf 0.0 \n", "\n", - "[301 rows x 8 columns]" + " holdfast \n", + "param_name \n", + "-999 1 \n", + "1 1 \n", + "bike_ASC_auto_deficient_atwork 0 \n", + "bike_ASC_auto_deficient_eatout 0 \n", + "bike_ASC_auto_deficient_escort 0 \n", + "... ... \n", + "walk_transit_ASC_no_auto_work 0 \n", + "walk_transit_CBD_ASC_atwork 0 \n", + "walk_transit_CBD_ASC_eatout_escort_othdiscr_oth... 0 \n", + "walk_transit_CBD_ASC_school_univ 0 \n", + "walk_transit_CBD_ASC_work 0 \n", + "\n", + "[301 rows x 7 columns]" ] }, "metadata": {}, "output_type": "display_data" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jpn/Git/est-mode/larch/src/larch/model/optimization.py:338: UserWarning: SLSQP may not play nicely with unbounded parameters\n", + "if you get poor results, consider setting global bounds with model.set_cap()\n", + " warnings.warn( # infinite bounds # )\n" + ] } ], "source": [ @@ -1557,18 +1590,120 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_92897/3375301916.py:1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.calculate_parameter_covariance()\n", - "/Users/jeffnewman/LocalGit/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 1.1755327986150339e-46 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - "/var/folders/js/bk_dt9015j79_f6bxnc44dsr0000gp/T/ipykernel_92897/3375301916.py:1: PossibleOverspecification: WARNING: Model seems to have 58 parameter estimators with negative variance\n", - "- commuter_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", - "- drive_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", - "- drive_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", - "- drive_transit_ASC_no_auto_all\n", - "- and 54 more\n", + "/var/folders/l1/yt63lf3n60b1dc25d_y2d1q80000gn/T/ipykernel_30646/3375301916.py:1: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", " model.calculate_parameter_covariance()\n" ] + }, + { + "data": { + "text/plain": [ + "(array([0.00000000e+00, 0.00000000e+00, 3.35905128e-01, 4.03997542e-01,\n", + " 3.98391399e-01, 2.04116538e-01, 3.43847113e-01, 3.05273022e-01,\n", + " 2.20308907e-01, 3.19155920e-01, 3.56339406e-02, 7.75126393e-02,\n", + " 4.36635034e+02, 1.46654623e-01, 3.88297006e-01, 9.37023760e-02,\n", + " 1.79285943e-01, 1.04219523e-01, 1.29302923e-01, 2.01485594e-01,\n", + " 1.57876345e-02, 6.56232000e-02, 7.82486553e+01, 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" \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - "
 ValueStd Errt StatSignifLike RatioNull ValueValueStd Errt StatSignifNull Value
Parameter     
-999-999. 0.00 NA NA-999.00
1 1.00 0.00 NA NA 1.00
bike_ASC_auto_deficient_eatout-95.1 0.00 NA[**] 3.97 0.00
bike_ASC_auto_sufficient_eatout-1.46 0.459-3.19** NA 0.00
bike_ASC_no_auto_eatout 7.20 0.740 9.73*** NA 0.00
coef_age010_trn_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work 0.720 0.387 1.86 NA 0.00
coef_age1619_da_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work-0.0191 0.214-0.09 NA 0.00
coef_age16p_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social-1.14 0.276-4.13*** NA 0.00
coef_hhsize1_sr_multiplier_eatout_escort_othdiscr_othmaint_school_shopping_social_univ_atwork 0.0210 0.0998 0.21 NA 0.00
coef_hhsize2_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work_atwork-0.00393 0.0708-0.06 NA 0.00
coef_ivt_eatout_escort_othdiscr_othmaint_shopping_social-0.0169 0.000785-21.58*** NA 0.00
coef_nest_AUTO 0.720 0.00 NA NA 1.00
coef_nest_AUTO_DRIVEALONE 0.350 0.00 NA NA 1.00
coef_nest_AUTO_SHAREDRIDE2 0.350 0.00 NA NA 1.00
coef_nest_AUTO_SHAREDRIDE3 0.350 0.00 NA NA 1.00
coef_nest_NONMOTORIZED 0.720 0.00 NA NA 1.00
coef_nest_RIDEHAIL 0.360 0.00 NA NA 1.00
coef_nest_TRANSIT 0.720 0.00 NA NA 1.00
coef_nest_TRANSIT_DRIVEACCESS 0.500 0.00 NA NA 1.00
coef_nest_TRANSIT_WALKACCESS 0.500 0.00 NA NA 1.00
commuter_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-38.8 NA NA[***] BIG 0.00
drive_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork 0.940 NA NA[] 0.00 0.00
drive_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-25.9 NA NA[***] 94.74 0.00
drive_transit_ASC_auto_deficient_eatout 14.7 1.77 8.30*** NA 0.00
drive_transit_ASC_auto_sufficient_eatout 12.1 1.88 6.45*** NA 0.00
drive_transit_ASC_no_auto_all 0.00 NA NA[] 0.00 0.00
drive_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social 0.553 0.813 0.68 NA 0.00
express_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-61.5 NA NA[***] 94.10 0.00
heavy_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-11.3 1.64-6.91*** NA 0.00
joint_bike_ASC_auto_deficient_all-155. NA NA[***] 49.72 0.00
joint_bike_ASC_auto_sufficient_all-108. NA NA[***] 89.09 0.00
joint_bike_ASC_no_auto_all-47.7 NA NA[] 1.65 0.00
joint_drive_transit_ASC_auto_deficient_all-36.1 NA NA[] 0.00 0.00
joint_drive_transit_ASC_auto_sufficient_all-24.1 NA NA[] 0.00 0.00
joint_drive_transit_ASC_no_auto_all 0.00 0.00 NA NA 0.00
joint_sr2_ASC_auto_deficient_all 0.00 0.00 NA NA 0.00
joint_sr2_ASC_auto_sufficient_all 0.00 0.00 NA NA 0.00
joint_sr2_ASC_no_auto_all 0.00 0.00 NA NA 0.00
joint_sr3p_ASC_auto_deficient_all-5.34 1.92-2.79** NA 0.00
joint_sr3p_ASC_auto_sufficient_all-3.33 0.983-3.39*** NA 0.00
joint_sr3p_ASC_no_auto_all 0.977 0.798 1.22 NA 0.00
joint_taxi_ASC_auto_deficient_all-45.5 NA NA[***] 31.66 0.00
joint_taxi_ASC_auto_sufficient_all-11.7 0.00 NA NA 0.00
joint_taxi_ASC_no_auto_all-12.8 841.-0.02 NA 0.00
joint_tnc_shared_ASC_auto_deficient_all-37.8 NA NA[***] 42.60 0.00
joint_tnc_shared_ASC_auto_sufficient_all-13.2 0.00 NA NA 0.00
joint_tnc_shared_ASC_no_auto_all-24.5 NA NA[] 1.15 0.00
joint_tnc_single_ASC_auto_deficient_all-51.7 NA NA[***] 36.10 0.00
joint_tnc_single_ASC_auto_sufficient_all-14.0 0.00 NA NA 0.00
joint_tnc_single_ASC_no_auto_all-16.7 NA NA[] 0.72 0.00
joint_walk_ASC_auto_deficient_all-1.31 1.43-0.92 NA 0.00
joint_walk_ASC_auto_sufficient_all-3.63 1.11-3.27** NA 0.00
joint_walk_ASC_no_auto_all 0.968 1.21 0.80 NA 0.00
joint_walk_transit_ASC_auto_deficient_all 4.48 2.40 1.87 NA 0.00
joint_walk_transit_ASC_auto_sufficient_all-18.3 NA NA[] 0.00 0.00
joint_walk_transit_ASC_no_auto_all 13.6 1.87 7.24*** NA 0.00
local_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-12.6 1.64-7.68*** NA 0.00
sr2_ASC_auto_deficient_eatout 0.235 0.415 0.57 NA 0.00
sr2_ASC_auto_sufficient_eatout 0.457 0.318 1.44 NA 0.00
sr2_ASC_no_auto_all 5.30 0.368 14.42*** NA 0.00
sr3p_ASC_auto_deficient_eatout-0.0844 0.448-0.19 NA 0.00
sr3p_ASC_auto_sufficient_eatout 0.502 0.313 1.60 NA 0.00
sr3p_ASC_no_auto_eatout 5.80 0.782 7.42*** NA 0.00
taxi_ASC_auto_deficient_eatout_othdiscr_social-34.3 NA NA[***] 10.47 0.00
taxi_ASC_auto_sufficient_eatout_othdiscr_social-2.38 0.505-4.71*** NA 0.00
taxi_ASC_no_auto_eatout_othdiscr_social-25.8 NA NA[] 0.00 0.00
tnc_shared_ASC_auto_deficient_eatout_othdiscr_social-2.92 1.01-2.89** NA 0.00
tnc_shared_ASC_auto_sufficient_eatout_othdiscr_social-3.47 0.610-5.69*** NA 0.00
tnc_shared_ASC_no_auto_eatout_othdiscr_social 5.50 0.507 10.85*** NA 0.00
tnc_single_ASC_auto_deficient_eatout_othdiscr_social-30.0 NA NA[***] 15.06 0.00
tnc_single_ASC_auto_sufficient_eatout_othdiscr_social-2.09 0.375-5.57*** NA 0.00
tnc_single_ASC_no_auto_eatout_othdiscr_social 6.70 0.465 14.39*** NA 0.00
walk_ASC_auto_deficient_eatout 2.96 0.472 6.27*** NA 0.00
walk_ASC_auto_sufficient_eatout 0.804 0.390 2.06* NA 0.00
walk_ASC_no_auto_eatout 10.2 0.673 15.17*** NA 0.00
walk_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork 0.940 NA NA[] 0.00 0.00
walk_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork-11.6 1.64-7.06*** NA 0.00
walk_transit_ASC_auto_deficient_eatout 12.3 1.69 7.30*** NA 0.00
walk_transit_ASC_auto_sufficient_eatout 10.8 1.67 6.43*** NA 0.00
walk_transit_ASC_no_auto_eatout 20.5 1.50 13.66*** NA 0.00
walk_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social 0.691 0.157 4.40*** NA 0.00
bike_ASC_auto_deficient_escort-80.8 NA NA[***] 15.70 0.00
bike_ASC_auto_sufficient_escort-4.23 0.746-5.68*** NA 0.00
bike_ASC_no_auto_escort-82.6 NA NA[] 0.00 0.00
drive_transit_ASC_auto_deficient_escort 12.0 1.93 6.23*** NA 0.00
drive_transit_ASC_auto_sufficient_escort-38.4 NA NA[] 0.00 0.00
sr2_ASC_auto_deficient_escort-0.0289 0.415-0.07 NA 0.00
sr2_ASC_auto_sufficient_escort-0.446 0.436-1.02 NA 0.00
sr3p_ASC_auto_deficient_escort-0.242 0.420-0.58 NA 0.00
sr3p_ASC_auto_sufficient_escort-0.573 0.437-1.31 NA 0.00
sr3p_ASC_no_auto_escort-48.6 NA NA[] 0.00 0.00
taxi_ASC_auto_deficient_escort_othmaint_shopping 0.221 0.304 0.73 NA 0.00
taxi_ASC_auto_sufficient_escort_othmaint_shopping-1.87 0.295-6.35*** NA 0.00
taxi_ASC_no_auto_escort_othmaint_shopping 7.36 0.451 16.30*** NA 0.00
tnc_shared_ASC_auto_deficient_escort_othmaint_shopping-0.244 0.228-1.07 NA 0.00
tnc_shared_ASC_auto_sufficient_escort_othmaint_shopping-2.71 0.286-9.46*** NA 0.00
tnc_shared_ASC_no_auto_escort_othmaint_shopping 6.66 0.440 15.13*** NA 0.00
tnc_single_ASC_auto_deficient_escort_othmaint_shopping 0.896 0.219 4.09*** NA 0.00
tnc_single_ASC_auto_sufficient_escort_othmaint_shopping-1.75 0.263-6.64*** NA 0.00
tnc_single_ASC_no_auto_escort_othmaint_shopping 7.44 0.437 17.05*** NA 0.00
walk_ASC_auto_deficient_escort-103. NA NA[*] 1.98 0.00
walk_ASC_auto_sufficient_escort-2.20 0.773-2.84** NA 0.00
walk_ASC_no_auto_escort 7.37 1.26 5.87*** NA 0.00
walk_transit_ASC_auto_deficient_escort 8.76 1.87 4.70*** NA 0.00
walk_transit_ASC_auto_sufficient_escort 7.57 1.77 4.29*** NA 0.00
walk_transit_ASC_no_auto_escort-44.3 NA NA[] 0.00 0.00
bike_ASC_auto_deficient_othdiscr 0.229 0.469 0.49 NA 0.00
bike_ASC_auto_sufficient_othdiscr-1.92 0.393-4.87*** NA 0.00
bike_ASC_no_auto_othdiscr 5.46 0.640 8.52*** NA 0.00
drive_transit_ASC_auto_deficient_othdiscr-61.4 NA NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_othdiscr 11.3 1.94 5.85*** NA 0.00
sr2_ASC_auto_deficient_othdiscr 0.739 0.378 1.96 NA 0.00
sr2_ASC_auto_sufficient_othdiscr 0.123 0.299 0.41 NA 0.00
sr3p_ASC_auto_deficient_othdiscr 0.935 0.364 2.57* NA 0.00
sr3p_ASC_auto_sufficient_othdiscr 0.246 0.295 0.83 NA 0.00
sr3p_ASC_no_auto_othdiscr 6.41 0.497 12.89*** NA 0.00
walk_ASC_auto_deficient_othdiscr 1.63 0.545 2.98** NA 0.00
walk_ASC_auto_sufficient_othdiscr 1.09 0.261 4.20*** NA 0.00
walk_ASC_no_auto_othdiscr 8.77 0.545 16.09*** NA 0.00
walk_transit_ASC_auto_deficient_othdiscr 13.3 1.67 7.97*** NA 0.00
walk_transit_ASC_auto_sufficient_othdiscr 11.3 1.65 6.84*** NA 0.00
walk_transit_ASC_no_auto_othdiscr 20.4 1.44 14.14*** NA 0.00
bike_ASC_auto_deficient_othmaint-1.55 0.792-1.96 NA 0.00
bike_ASC_auto_sufficient_othmaint-2.48 0.551-4.51*** NA 0.00
bike_ASC_no_auto_othmaint 7.09 0.520 13.63*** NA 0.00
drive_transit_ASC_auto_deficient_othmaint-65.9 NA NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_othmaint-32.2 NA NA[] 0.00 0.00
sr2_ASC_auto_deficient_othmaint-0.174 0.421-0.41 NA 0.00
sr2_ASC_auto_sufficient_othmaint 0.222 0.306 0.72 NA 0.00
sr3p_ASC_auto_deficient_othmaint-1.77 0.796-2.22* NA 0.00
sr3p_ASC_auto_sufficient_othmaint-0.251 0.322-0.78 NA 0.00
sr3p_ASC_no_auto_othmaint 4.59 0.844 5.44*** NA 0.00
walk_ASC_auto_deficient_othmaint 1.83 0.694 2.64** NA 0.00
walk_ASC_auto_sufficient_othmaint 0.890 0.354 2.51* NA 0.00
walk_ASC_no_auto_othmaint 6.29 0.883 7.13*** NA 0.00
walk_transit_ASC_auto_deficient_othmaint 9.41 1.92 4.90*** NA 0.00
walk_transit_ASC_auto_sufficient_othmaint 11.0 1.66 6.59*** NA 0.00
walk_transit_ASC_no_auto_othmaint 20.6 1.45 14.26*** NA 0.00
bike_ASC_auto_deficient_school-0.418 1.07-0.39 NA 0.00
bike_ASC_auto_sufficient_school-3.51 0.742-4.72*** NA 0.00
bike_ASC_no_auto_school-28.7 NA NA[] 0.00 0.00
coef_age010_trn_multiplier_school_univ-1.11 0.279-3.98*** NA 0.00
coef_age1619_da_multiplier_school_univ-1.60 0.496-3.22** NA 0.00
coef_age16p_sr_multiplier_school_univ_work_atwork-0.721 0.357-2.02* NA 0.00
coef_hhsize2_sr_multiplier_school_univ-0.534 0.528-1.01 NA 0.00
coef_ivt_school_univ-0.0212 0.00207-10.25*** NA 0.00
commuter_rail_ASC_school_univ-32.4 NA NA[***] 230.28 0.00
drive_ferry_ASC_school_univ 2.02 NA NA[] 0.00 0.00
drive_light_rail_ASC_school_univ-19.1 0.0154-BIG*** NA 0.00
drive_transit_ASC_auto_deficient_school-96.0 NA NA[***] BIG 0.00
drive_transit_ASC_auto_sufficient_school-46.2 153.-0.30 NA 0.00
drive_transit_CBD_ASC_school_univ 62.5 153. 0.41 NA 0.00
express_bus_ASC_school_univ 0.325 NA NA[] 0.00 0.00
heavy_rail_ASC_school_univ-12.4 305.-0.04 NA 0.00
local_bus_ASC_school_univ-13.9 305.-0.05 NA 0.00
sr2_ASC_auto_deficient_school 0.116 0.860 0.14 NA 0.00
sr2_ASC_auto_sufficient_school-1.65 0.362-4.55*** NA 0.00
sr3p_ASC_auto_deficient_school 0.721 0.848 0.85 NA 0.00
sr3p_ASC_auto_sufficient_school-1.19 0.353-3.36*** NA 0.00
sr3p_ASC_no_auto_school-6.02 NA NA[] 0.00 0.00
taxi_ASC_auto_deficient_school 1.59 0.932 1.71 NA 0.00
taxi_ASC_auto_sufficient_school-1.63 0.602-2.71** NA 0.00
taxi_ASC_no_auto_school_univ-7.00 0.00 NA NA 0.00
tnc_shared_ASC_auto_deficient_school 0.968 0.905 1.07 NA 0.00
tnc_shared_ASC_auto_sufficient_school-2.77 0.626-4.43*** NA 0.00
tnc_shared_ASC_no_auto_school-7.00 0.00 NA NA 0.00
tnc_single_ASC_auto_deficient_school-3.36 113.-0.03 NA 0.00
tnc_single_ASC_auto_sufficient_school-2.37 0.650-3.65*** NA 0.00
tnc_single_ASC_no_auto_school-7.00 0.00 NA NA 0.00
walk_ASC_auto_deficient_school 3.23 0.931 3.47*** NA 0.00
walk_ASC_auto_sufficient_school 0.692 0.421 1.64 NA 0.00
walk_ASC_no_auto_school 31.9 NA NA[***] 241.14 0.00
walk_ferry_ASC_school_univ 2.02 NA NA[] 0.00 0.00
walk_light_rail_ASC_school_univ-12.1 305.-0.04 NA 0.00
walk_transit_ASC_auto_deficient_school 17.1 305. 0.06 NA 0.00
walk_transit_ASC_auto_sufficient_school 14.2 305. 0.05 NA 0.00
walk_transit_ASC_no_auto_school 48.7 NA NA[***] BIG 0.00
walk_transit_CBD_ASC_school_univ 0.788 0.260 3.03** NA 0.00
bike_ASC_auto_deficient_shopping-0.982 0.499-1.97* NA 0.00
bike_ASC_auto_sufficient_shopping-4.77 0.991-4.81*** NA 0.00
bike_ASC_no_auto_shopping 6.35 0.481 13.21*** NA 0.00
drive_transit_ASC_auto_deficient_shopping-69.1 NA NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_shopping-74.4 NA NA[] 0.00 0.00
sr2_ASC_auto_deficient_shopping 0.341 0.336 1.01 NA 0.00
sr2_ASC_auto_sufficient_shopping 0.145 0.293 0.49 NA 0.00
sr3p_ASC_auto_deficient_shopping-0.262 0.376-0.70 NA 0.00
sr3p_ASC_auto_sufficient_shopping-0.296 0.301-0.98 NA 0.00
sr3p_ASC_no_auto_shopping 5.65 0.463 12.20*** NA 0.00
walk_ASC_auto_deficient_shopping 2.80 0.360 7.78*** NA 0.00
walk_ASC_auto_sufficient_shopping 0.473 0.249 1.90 NA 0.00
walk_ASC_no_auto_shopping 8.22 0.493 16.65*** NA 0.00
walk_transit_ASC_auto_deficient_shopping 11.3 1.67 6.73*** NA 0.00
walk_transit_ASC_auto_sufficient_shopping 9.75 1.66 5.86*** NA 0.00
walk_transit_ASC_no_auto_shopping 19.7 1.43 13.75*** NA 0.00
bike_ASC_auto_deficient_social-0.269 1.04-0.26 NA 0.00
bike_ASC_auto_sufficient_social-0.854 0.716-1.19 NA 0.00
bike_ASC_no_auto_social 5.51 0.583 9.46*** NA 0.00
drive_transit_ASC_auto_deficient_social-52.8 NA NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_social-48.0 NA NA[] 0.00 0.00
sr2_ASC_auto_deficient_social 1.43 0.463 3.08** NA 0.00
sr2_ASC_auto_sufficient_social 0.977 0.351 2.78** NA 0.00
sr3p_ASC_auto_deficient_social 0.676 0.546 1.24 NA 0.00
sr3p_ASC_auto_sufficient_social 0.757 0.362 2.09* NA 0.00
sr3p_ASC_no_auto_social 3.97 0.820 4.84*** NA 0.00
walk_ASC_auto_deficient_social 3.17 0.911 3.48*** NA 0.00
walk_ASC_auto_sufficient_social 2.66 0.491 5.42*** NA 0.00
walk_ASC_no_auto_social 6.44 0.683 9.43*** NA 0.00
walk_transit_ASC_auto_deficient_social 12.9 1.75 7.36*** NA 0.00
walk_transit_ASC_auto_sufficient_social 12.6 1.67 7.54*** NA 0.00
walk_transit_ASC_no_auto_social 19.0 1.46 13.02*** NA 0.00
bike_ASC_auto_deficient_univ-0.669 NA NA[] 0.00 0.00
bike_ASC_auto_sufficient_univ-1.94 NA NA[] 0.00 0.00
bike_ASC_no_auto_univ 4.29 NA NA[] 0.00 0.00
drive_transit_ASC_auto_deficient_univ 1.85 NA NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_univ 1.36 NA NA[] 0.00 0.00
sr2_ASC_auto_deficient_univ-1.69 NA NA[] 0.00 0.00
sr2_ASC_auto_sufficient_univ-1.86 NA NA[] 0.00 0.00
sr3p_ASC_auto_deficient_univ-1.73 NA NA[] 0.00 0.00
sr3p_ASC_auto_sufficient_univ-1.90 4.83e-14-BIG*** NA 0.00
sr3p_ASC_no_auto_univ-6.06 2.85e-18-BIG*** NA 0.00
taxi_ASC_auto_deficient_univ 4.25 0.00 NA[] 0.00 0.00
taxi_ASC_auto_sufficient_univ-0.313 0.00 NA[] 0.00 0.00
tnc_shared_ASC_auto_deficient_univ 3.25 0.00 NA[] 0.00 0.00
tnc_shared_ASC_auto_sufficient_univ-0.907 0.00 NA[] 0.00 0.00
tnc_shared_ASC_no_auto_univ-5.81 0.00 NA[] 0.00 0.00
tnc_single_ASC_auto_deficient_univ 1.02 0.00 NA[] 0.00 0.00
tnc_single_ASC_auto_sufficient_univ 0.209 0.00 NA[] 0.00 0.00
tnc_single_ASC_no_auto_univ-2.52 0.00 NA[] 0.00 0.00
walk_ASC_auto_deficient_univ 4.51 0.00 NA[] 0.00 0.00
walk_ASC_auto_sufficient_univ 1.06 0.00 NA[] 0.00 0.00
walk_ASC_no_auto_univ 6.41 0.00 NA[] 0.00 0.00
walk_transit_ASC_auto_deficient_univ 3.14 0.00 NA[] 0.00 0.00
walk_transit_ASC_auto_sufficient_univ 0.473 0.00 NA[] 0.00 0.00
walk_transit_ASC_no_auto_univ 8.79 0.00 NA[] 0.00 0.00
bike_ASC_auto_deficient_work 0.109 0.159 0.69 NA 0.00
bike_ASC_auto_sufficient_work-1.71 0.201-8.54*** NA 0.00
bike_ASC_no_auto_work 7.92 0.643 12.31*** NA 0.00
coef_hhsize1_sr_multiplier_work-0.679 0.174-3.90*** NA 0.00
coef_ivt_work-0.0131 0.000672-19.44*** NA 0.00
commuter_rail_ASC_work 12.1 0.561 21.60*** NA 0.00
drive_ferry_ASC_work 0.933 0.00 NA[] 0.00 0.00
drive_light_rail_ASC_work-36.0 NA NA[] 0.00 0.00
drive_transit_ASC_auto_deficient_work-10.8 0.493-21.96*** NA 0.00
drive_transit_ASC_auto_sufficient_work-11.9 0.496-24.03*** NA 0.00
drive_transit_CBD_ASC_work 1.43 0.593 2.41* NA 0.00
express_bus_ASC_work-54.6 NA NA[] 0.00 0.00
heavy_rail_ASC_work 11.0 0.185 59.50*** NA 0.00
local_bus_ASC_work 10.3 0.173 59.60*** NA 0.00
sr2_ASC_auto_deficient_work 0.463 0.367 1.26 NA 0.00
sr2_ASC_auto_sufficient_work-0.391 0.369-1.06 NA 0.00
sr3p_ASC_auto_deficient_work-0.0501 0.372-0.13 NA 0.00
sr3p_ASC_auto_sufficient_work-0.716 0.373-1.92 NA 0.00
sr3p_ASC_no_auto_work 5.29 0.646 8.18*** NA 0.00
taxi_ASC_auto_deficient_work-1.36 0.326-4.16*** NA 0.00
taxi_ASC_auto_sufficient_work-56.0 NA NA[***] 89.02 0.00
taxi_ASC_no_auto_work 9.43 0.651 14.50*** NA 0.00
tnc_shared_ASC_auto_deficient_work-2.43 0.420-5.80*** NA 0.00
tnc_shared_ASC_auto_sufficient_work-63.4 NA NA[***] 180.49 0.00
tnc_shared_ASC_no_auto_work-47.3 NA NA[] 0.00 0.00
tnc_single_ASC_auto_deficient_work-0.788 0.211-3.73*** NA 0.00
tnc_single_ASC_auto_sufficient_work-4.88 1.00-4.86*** NA 0.00
tnc_single_ASC_no_auto_work 10.3 0.630 16.35*** NA 0.00
walk_ASC_auto_deficient_work 2.13 0.200 10.62*** NA 0.00
walk_ASC_auto_sufficient_work 0.176 0.215 0.82 NA 0.00
walk_ASC_no_auto_work 10.4 0.654 15.83*** NA 0.00
walk_ferry_ASC_work 0.933 0.00 NA[] 0.00 0.00
walk_light_rail_ASC_work 11.2 0.178 62.93*** NA 0.00
walk_transit_ASC_auto_deficient_work-9.77 0.182-53.62*** NA 0.00
walk_transit_ASC_auto_sufficient_work-11.3 0.187-60.43*** NA 0.00
walk_transit_ASC_no_auto_work-0.818 0.576-1.42 NA 0.00
walk_transit_CBD_ASC_work 0.977 0.121 8.07*** NA 0.00
bike_ASC_auto_deficient_atwork-1.38 0.914-1.51 NA 0.00
bike_ASC_auto_sufficient_atwork 15.7 726. 0.02 NA 0.00
bike_ASC_no_auto_atwork-28.4 NA NA[] 0.00 0.00
coef_age010_trn_multiplier_atwork 0.000722 0.00 NA[] 0.00 0.00
coef_age1619_da_multiplier_atwork-0.807 1.03-0.79 NA 0.00
coef_ivt_atwork-0.0210 0.00255-8.26*** NA 0.00
drive_transit_ASC_auto_deficient_atwork-999. 0.00 NA[] 0.00 0.00
drive_transit_ASC_auto_sufficient_atwork-999. 0.00 NA[] 0.00 0.00
drive_transit_CBD_ASC_atwork 0.564 0.00 NA[] 0.00 0.00
sr2_ASC_auto_deficient_atwork-1.89 0.573-3.31*** NA 0.00
sr2_ASC_auto_sufficient_atwork-0.652 0.398-1.64 NA 0.00
sr3p_ASC_auto_deficient_atwork-2.38 0.580-4.11*** NA 0.00
sr3p_ASC_auto_sufficient_atwork-0.822 0.401-2.05* NA 0.00
sr3p_ASC_no_auto_atwork 6.24 0.790 7.90*** NA 0.00
taxi_ASC_auto_deficient_atwork-28.5 NA NA[***] 64.57 0.00
taxi_ASC_auto_sufficient_atwork-28.6 NA NA[***] 38.13 0.00
taxi_ASC_no_auto_atwork 10.2 0.970 10.52*** NA 0.00
tnc_shared_ASC_auto_deficient_atwork-3.91 0.639-6.12*** NA 0.00
tnc_shared_ASC_auto_sufficient_atwork-2.69 0.496-5.42*** NA 0.00
tnc_shared_ASC_no_auto_atwork 9.06 0.890 10.18*** NA 0.00
tnc_single_ASC_auto_deficient_atwork-3.11 0.611-5.09*** NA 0.00
tnc_single_ASC_auto_sufficient_atwork-2.63 0.529-4.97*** NA 0.00
tnc_single_ASC_no_auto_atwork 10.5 0.917 11.43*** NA 0.00
walk_ASC_auto_deficient_atwork 1.82 0.671 2.72** NA 0.00
walk_ASC_auto_sufficient_atwork 1.43 0.379 3.77*** NA 0.00
walk_ASC_no_auto_atwork 12.8 1.04 12.31*** NA 0.00
walk_transit_ASC_auto_deficient_atwork 8.99 1.76 5.10*** NA 0.00
walk_transit_ASC_auto_sufficient_atwork 9.13 1.81 5.04*** NA 0.00
walk_transit_ASC_no_auto_atwork 21.2 1.66 12.81*** NA 0.00
walk_transit_CBD_ASC_atwork 0.352 0.549 0.64 NA 0.00-999-999. 0.00 NA 0.00
\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.parameter_summary()" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "colab_type": "text", - "id": "TojXWivZsx7M" - }, - "source": [ - "# Output Estimation Results" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "from activitysim.estimation.larch import update_coefficients\n", - "result_dir = data.edb_directory/\"estimated\"\n", - "update_coefficients(\n", - " model, data, result_dir,\n", - " output_file=f\"{modelname}_coefficients_revised.csv\",\n", - ");" + " \n", + " 1\n", + "  1.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_atwork\n", + " -0.998\n", + "  0.336\n", + " -2.97\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_eatout\n", + " -1.67\n", + "  0.404\n", + " -4.14\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_escort\n", + " -4.15\n", + "  0.398\n", + " -10.41\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_othdiscr\n", + " -1.11\n", + "  0.204\n", + " -5.42\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_othmaint\n", + " -2.34\n", + "  0.344\n", + " -6.81\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_school\n", + " -1.44\n", + "  0.305\n", + " -4.71\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_shopping\n", + " -1.92\n", + "  0.220\n", + " -8.74\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_social\n", + "  0.185\n", + "  0.319\n", + "  0.58\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_univ\n", + " -0.669\n", + "  0.0356\n", + " -18.78\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_deficient_work\n", + " -0.335\n", + "  0.0775\n", + " -4.33\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_atwork\n", + "  15.7\n", + "  437.\n", + "  0.04\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_eatout\n", + " -1.88\n", + "  0.147\n", + " -12.80\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_escort\n", + " -6.00\n", + "  0.388\n", + " -15.46\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_othdiscr\n", + " -1.97\n", + "  0.0937\n", + " -21.00\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_othmaint\n", + " -3.17\n", + "  0.179\n", + " -17.71\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_school\n", + " -2.70\n", + "  0.104\n", + " -25.91\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_shopping\n", + " -3.22\n", + "  0.129\n", + " -24.92\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_social\n", + " -2.25\n", + "  0.201\n", + " -11.15\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_univ\n", + " -1.94\n", + "  0.0158\n", + " -122.87\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_auto_sufficient_work\n", + " -2.04\n", + "  0.0656\n", + " -31.15\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_atwork\n", + " -0.909\n", + "  78.2\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_eatout\n", + "  0.420\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_escort\n", + " -0.754\n", + "  77.7\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_othdiscr\n", + " -0.514\n", + "  77.7\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_othmaint\n", + "  1.48\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_school\n", + "  13.3\n", + "  106.\n", + "  0.13\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_shopping\n", + "  0.955\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_social\n", + "  0.352\n", + "  77.7\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_univ\n", + "  4.29\n", + "  0.0225\n", + "  190.79\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " bike_ASC_no_auto_work\n", + "  3.46\n", + "  77.7\n", + "  0.04\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_age010_trn_multiplier_atwork\n", + "  0.000722\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_age010_trn_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work\n", + "  0.277\n", + "  0.177\n", + "  1.56\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_age010_trn_multiplier_school_univ\n", + " -0.884\n", + "  0.0900\n", + " -9.82\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_age1619_da_multiplier_atwork\n", + " -0.184\n", + "  0.205\n", + " -0.90\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_age1619_da_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work\n", + "  0.0300\n", + "  0.0425\n", + "  0.71\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_age1619_da_multiplier_school_univ\n", + " -1.63\n", + "  0.0746\n", + " -21.80\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_age16p_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social\n", + " -1.42\n", + "  0.0807\n", + " -17.61\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_age16p_sr_multiplier_school_univ_work_atwork\n", + " -0.663\n", + "  0.0682\n", + " -9.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_hhsize1_sr_multiplier_eatout_escort_othdiscr_othmaint_school_shopping_social_univ_atwork\n", + " -0.0800\n", + "  0.0313\n", + " -2.56\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " coef_hhsize1_sr_multiplier_work\n", + " -0.839\n", + "  0.0576\n", + " -14.56\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_hhsize2_sr_multiplier_eatout_escort_othdiscr_othmaint_shopping_social_work_atwork\n", + " -0.00550\n", + "  0.0178\n", + " -0.31\n", + " \n", + " 0.00\n", + " \n", + " \n", + " coef_hhsize2_sr_multiplier_school_univ\n", + " -0.733\n", + "  0.0909\n", + " -8.06\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_ivt_atwork\n", + " -0.0112\n", + "  0.000480\n", + " -23.42\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_ivt_eatout_escort_othdiscr_othmaint_shopping_social\n", + " -0.00688\n", + "  0.000144\n", + " -47.63\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_ivt_school_univ\n", + " -0.0106\n", + "  0.000322\n", + " -33.03\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_ivt_work\n", + " -0.00787\n", + "  0.000147\n", + " -53.42\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " coef_nest_AUTO\n", + "  0.720\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_AUTO_DRIVEALONE\n", + "  0.350\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_AUTO_SHAREDRIDE2\n", + "  0.350\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_AUTO_SHAREDRIDE3\n", + "  0.350\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_NONMOTORIZED\n", + "  0.720\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_RIDEHAIL\n", + "  0.360\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_TRANSIT\n", + "  0.720\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_TRANSIT_DRIVEACCESS\n", + "  0.500\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " coef_nest_TRANSIT_WALKACCESS\n", + "  0.500\n", + "  0.00\n", + "  NA\n", + " \n", + " 1.00\n", + " \n", + " \n", + " commuter_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -1.08\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " commuter_rail_ASC_school_univ\n", + " -0.338\n", + "  527.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " commuter_rail_ASC_work\n", + "  0.168\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.764\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_ferry_ASC_school_univ\n", + "  1.41\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_ferry_ASC_work\n", + "  0.187\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.402\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_light_rail_ASC_school_univ\n", + "  0.615\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_light_rail_ASC_work\n", + "  0.520\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_atwork\n", + " -999.\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_eatout\n", + " -0.277\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_escort\n", + " -2.24\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_othdiscr\n", + " -0.968\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_othmaint\n", + " -1.43\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_school\n", + "  1.63\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_shopping\n", + " -1.68\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_social\n", + "  0.629\n", + "  266.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_univ\n", + "  1.85\n", + "  0.00197\n", + "  939.88\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_deficient_work\n", + " -0.896\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_atwork\n", + " -999.\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_eatout\n", + " -1.75\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_escort\n", + " -5.32\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_othdiscr\n", + " -1.27\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_othmaint\n", + " -2.85\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_school\n", + " -0.182\n", + "  527.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_shopping\n", + " -4.23\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_social\n", + " -1.47\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_univ\n", + "  1.36\n", + "  0.000573\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_auto_sufficient_work\n", + " -1.81\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_ASC_no_auto_all\n", + "  0.00\n", + "  0.000507\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " drive_transit_CBD_ASC_atwork\n", + "  0.564\n", + "  0.000881\n", + "  639.86\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " drive_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social\n", + "  1.41\n", + "  0.142\n", + "  9.88\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " drive_transit_CBD_ASC_school_univ\n", + "  1.18\n", + "  0.250\n", + "  4.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " drive_transit_CBD_ASC_work\n", + "  1.65\n", + "  0.0699\n", + "  23.57\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " express_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.396\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " express_bus_ASC_school_univ\n", + " -0.568\n", + "  527.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " express_bus_ASC_work\n", + " -0.917\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " heavy_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.251\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " heavy_rail_ASC_school_univ\n", + " -0.00300\n", + "  527.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " heavy_rail_ASC_work\n", + "  0.495\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_bike_ASC_auto_deficient_all\n", + " -6.18\n", + "  1.39\n", + " -4.45\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_bike_ASC_auto_sufficient_all\n", + " -7.13\n", + "  0.506\n", + " -14.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_bike_ASC_no_auto_all\n", + " -2.70\n", + "  1.11\n", + " -2.43\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " joint_drive_transit_ASC_auto_deficient_all\n", + " -6.03\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_drive_transit_ASC_auto_sufficient_all\n", + " -7.80\n", + "  266.\n", + " -0.03\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_drive_transit_ASC_no_auto_all\n", + "  0.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_sr2_ASC_auto_deficient_all\n", + "  0.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_sr2_ASC_auto_sufficient_all\n", + "  0.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_sr2_ASC_no_auto_all\n", + "  0.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_sr3p_ASC_auto_deficient_all\n", + " -1.55\n", + "  0.265\n", + " -5.85\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_sr3p_ASC_auto_sufficient_all\n", + " -2.28\n", + "  0.133\n", + " -17.16\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_sr3p_ASC_no_auto_all\n", + "  0.656\n", + "  0.458\n", + "  1.43\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_taxi_ASC_auto_deficient_all\n", + " -9.82\n", + "  8.47\n", + " -1.16\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_taxi_ASC_auto_sufficient_all\n", + " -11.7\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_taxi_ASC_no_auto_all\n", + " -4.58\n", + "  4.30\n", + " -1.07\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_shared_ASC_auto_deficient_all\n", + " -11.2\n", + "  17.8\n", + " -0.63\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_shared_ASC_auto_sufficient_all\n", + " -13.2\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_shared_ASC_no_auto_all\n", + " -4.69\n", + "  2.26\n", + " -2.07\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_single_ASC_auto_deficient_all\n", + " -9.90\n", + "  7.49\n", + " -1.32\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_single_ASC_auto_sufficient_all\n", + " -14.0\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_tnc_single_ASC_no_auto_all\n", + " -3.91\n", + "  2.15\n", + " -1.82\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_walk_ASC_auto_deficient_all\n", + " -2.24\n", + "  0.387\n", + " -5.78\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_walk_ASC_auto_sufficient_all\n", + " -4.23\n", + "  0.246\n", + " -17.23\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " joint_walk_ASC_no_auto_all\n", + " -0.402\n", + "  0.729\n", + " -0.55\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_walk_transit_ASC_auto_deficient_all\n", + " -5.28\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_walk_transit_ASC_auto_sufficient_all\n", + " -18.3\n", + "  777.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " joint_walk_transit_ASC_no_auto_all\n", + "  0.489\n", + "  266.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " local_bus_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -1.24\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " local_bus_ASC_school_univ\n", + " -0.934\n", + "  527.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " local_bus_ASC_work\n", + " -0.196\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_atwork\n", + " -1.58\n", + "  0.134\n", + " -11.80\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_eatout\n", + "  0.592\n", + "  0.145\n", + "  4.07\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_escort\n", + " -0.0768\n", + "  0.151\n", + " -0.51\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_othdiscr\n", + "  0.821\n", + "  0.119\n", + "  6.92\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_othmaint\n", + "  0.318\n", + "  0.135\n", + "  2.35\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_school\n", + "  0.162\n", + "  0.175\n", + "  0.93\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_shopping\n", + "  0.283\n", + "  0.115\n", + "  2.46\n", + " *\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_social\n", + "  1.99\n", + "  0.203\n", + "  9.83\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_univ\n", + " -1.69\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_deficient_work\n", + "  0.325\n", + "  0.0744\n", + "  4.36\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_atwork\n", + " -0.800\n", + "  0.0784\n", + " -10.21\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_eatout\n", + "  0.925\n", + "  0.0894\n", + "  10.35\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_escort\n", + "  0.188\n", + "  0.117\n", + "  1.61\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_othdiscr\n", + "  0.596\n", + "  0.0846\n", + "  7.05\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_othmaint\n", + "  0.416\n", + "  0.0870\n", + "  4.79\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_school\n", + " -1.23\n", + "  0.0803\n", + " -15.34\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_shopping\n", + "  0.292\n", + "  0.0841\n", + "  3.48\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_social\n", + "  0.641\n", + "  0.0953\n", + "  6.72\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_univ\n", + " -1.86\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_auto_sufficient_work\n", + " -0.396\n", + "  0.0705\n", + " -5.62\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr2_ASC_no_auto_all\n", + "  1.10\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_atwork\n", + " -1.90\n", + "  0.138\n", + " -13.76\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_eatout\n", + " -0.120\n", + "  0.182\n", + " -0.66\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_escort\n", + " -0.301\n", + "  0.154\n", + " -1.96\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_othdiscr\n", + "  1.18\n", + "  0.112\n", + "  10.56\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_othmaint\n", + " -0.936\n", + "  0.225\n", + " -4.16\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_school\n", + "  0.708\n", + "  0.170\n", + "  4.16\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_shopping\n", + " -0.0640\n", + "  0.126\n", + " -0.51\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_social\n", + "  1.72\n", + "  0.212\n", + "  8.14\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_univ\n", + " -1.73\n", + "  0.000100\n", + " -BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_deficient_work\n", + " -0.219\n", + "  0.0779\n", + " -2.81\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_atwork\n", + " -0.984\n", + "  0.0796\n", + " -12.35\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_eatout\n", + "  0.898\n", + "  0.0894\n", + "  10.04\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_escort\n", + "  0.162\n", + "  0.117\n", + "  1.38\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_othdiscr\n", + "  0.697\n", + "  0.0841\n", + "  8.29\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_othmaint\n", + "  0.0330\n", + "  0.0899\n", + "  0.37\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_school\n", + " -0.663\n", + "  0.0792\n", + " -8.37\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_shopping\n", + "  0.0515\n", + "  0.0851\n", + "  0.61\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_social\n", + "  0.642\n", + "  0.0951\n", + "  6.75\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_univ\n", + " -1.90\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_auto_sufficient_work\n", + " -0.763\n", + "  0.0714\n", + " -10.68\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_atwork\n", + "  1.45\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_eatout\n", + "  1.56\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_escort\n", + " -1.86\n", + "  77.7\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_othdiscr\n", + "  1.27\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_othmaint\n", + "  0.243\n", + "  77.7\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_school\n", + " -6.02\n", + "  102.\n", + " -0.06\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_shopping\n", + "  0.711\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_social\n", + " -1.16\n", + "  77.7\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_univ\n", + " -6.06\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " sr3p_ASC_no_auto_work\n", + "  0.560\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_atwork\n", + " -4.54\n", + "  0.419\n", + " -10.84\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_eatout_othdiscr_social\n", + " -3.37\n", + "  0.476\n", + " -7.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_escort_othmaint_shopping\n", + " -1.10\n", + "  0.109\n", + " -10.15\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_school\n", + "  0.626\n", + "  0.205\n", + "  3.05\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_univ\n", + "  4.25\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_deficient_work\n", + " -2.11\n", + "  0.191\n", + " -11.04\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_atwork\n", + " -3.35\n", + "  0.151\n", + " -22.19\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_eatout_othdiscr_social\n", + " -4.24\n", + "  0.278\n", + " -15.26\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_escort_othmaint_shopping\n", + " -2.90\n", + "  0.0839\n", + " -34.57\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_school\n", + " -2.68\n", + "  0.128\n", + " -20.89\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_univ\n", + " -0.313\n", + "  2.26e-05\n", + " -BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_auto_sufficient_work\n", + " -5.12\n", + "  0.363\n", + " -14.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_no_auto_atwork\n", + "  3.64\n", + "  77.7\n", + "  0.05\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_no_auto_eatout_othdiscr_social\n", + " -0.558\n", + "  77.7\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_no_auto_escort_othmaint_shopping\n", + "  1.46\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_no_auto_school_univ\n", + " -7.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " taxi_ASC_no_auto_work\n", + "  3.94\n", + "  77.7\n", + "  0.05\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_atwork\n", + " -5.10\n", + "  0.397\n", + " -12.85\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_eatout_othdiscr_social\n", + " -4.48\n", + "  0.814\n", + " -5.51\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_escort_othmaint_shopping\n", + " -1.38\n", + "  0.0981\n", + " -14.08\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_school\n", + "  0.0328\n", + "  0.199\n", + "  0.17\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_univ\n", + "  3.25\n", + "  1.81e-05\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_deficient_work\n", + " -3.60\n", + "  0.218\n", + " -16.52\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_atwork\n", + " -4.09\n", + "  0.166\n", + " -24.61\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_eatout_othdiscr_social\n", + " -4.53\n", + "  0.201\n", + " -22.49\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_escort_othmaint_shopping\n", + " -3.38\n", + "  0.0779\n", + " -43.43\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_school\n", + " -4.04\n", + "  0.158\n", + " -25.50\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_univ\n", + " -0.907\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_auto_sufficient_work\n", + " -6.73\n", + "  0.417\n", + " -16.13\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_atwork\n", + "  3.04\n", + "  77.7\n", + "  0.04\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_eatout_othdiscr_social\n", + " -0.0561\n", + "  77.7\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_escort_othmaint_shopping\n", + "  0.675\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_school\n", + " -7.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_univ\n", + " -5.81\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_shared_ASC_no_auto_work\n", + "  2.26\n", + "  77.7\n", + "  0.03\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_atwork\n", + " -4.20\n", + "  0.308\n", + " -13.65\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_eatout_othdiscr_social\n", + " -3.40\n", + "  0.433\n", + " -7.84\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_escort_othmaint_shopping\n", + " -0.493\n", + "  0.0900\n", + " -5.48\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_school\n", + " -0.235\n", + "  0.239\n", + " -0.98\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_univ\n", + "  1.02\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_deficient_work\n", + " -1.42\n", + "  0.106\n", + " -13.40\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_atwork\n", + " -3.14\n", + "  0.126\n", + " -25.00\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_eatout_othdiscr_social\n", + " -3.44\n", + "  0.147\n", + " -23.37\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_escort_othmaint_shopping\n", + " -2.31\n", + "  0.0677\n", + " -34.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_school\n", + " -2.47\n", + "  0.110\n", + " -22.48\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_univ\n", + "  0.209\n", + "  1.24e-05\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_auto_sufficient_work\n", + " -4.30\n", + "  0.174\n", + " -24.71\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_atwork\n", + "  4.25\n", + "  77.7\n", + "  0.05\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_eatout_othdiscr_social\n", + "  0.988\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_escort_othmaint_shopping\n", + "  1.61\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_school\n", + " -7.00\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_univ\n", + " -2.52\n", + "  1.04e-05\n", + " -BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " tnc_single_ASC_no_auto_work\n", + "  5.36\n", + "  77.7\n", + "  0.07\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_atwork\n", + "  0.179\n", + "  0.125\n", + "  1.44\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_eatout\n", + "  1.97\n", + "  0.189\n", + "  10.38\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_escort\n", + " -2.25\n", + "  0.269\n", + " -8.35\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_othdiscr\n", + "  1.07\n", + "  0.146\n", + "  7.33\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_othmaint\n", + " -0.0496\n", + "  0.206\n", + " -0.24\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_school\n", + "  2.31\n", + "  0.190\n", + "  12.13\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_shopping\n", + "  0.790\n", + "  0.128\n", + "  6.18\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_social\n", + "  2.06\n", + "  0.291\n", + "  7.09\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_univ\n", + "  4.51\n", + "  9.40e-06\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_deficient_work\n", + "  1.60\n", + "  0.0818\n", + "  19.57\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_atwork\n", + "  0.0778\n", + "  0.0580\n", + "  1.34\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_eatout\n", + "  0.530\n", + "  0.0933\n", + "  5.68\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_escort\n", + " -1.81\n", + "  0.106\n", + " -17.07\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_othdiscr\n", + "  0.218\n", + "  0.0663\n", + "  3.28\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_othmaint\n", + " -0.244\n", + "  0.0814\n", + " -2.99\n", + " **\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_school\n", + " -0.101\n", + "  0.0864\n", + " -1.17\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_shopping\n", + " -0.368\n", + "  0.0638\n", + " -5.76\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_social\n", + "  0.469\n", + "  0.107\n", + "  4.39\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_univ\n", + "  1.06\n", + "  3.73e-07\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_auto_sufficient_work\n", + " -0.393\n", + "  0.0617\n", + " -6.37\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_atwork\n", + "  6.64\n", + "  77.7\n", + "  0.09\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_eatout\n", + "  4.42\n", + "  77.7\n", + "  0.06\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_escort\n", + "  2.50\n", + "  77.7\n", + "  0.03\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_othdiscr\n", + "  2.90\n", + "  77.7\n", + "  0.04\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_othmaint\n", + "  0.919\n", + "  77.7\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_school\n", + "  17.8\n", + "  106.\n", + "  0.17\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_shopping\n", + "  2.17\n", + "  77.7\n", + "  0.03\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_social\n", + "  1.71\n", + "  77.7\n", + "  0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_univ\n", + "  6.41\n", + "  1.10e-07\n", + "  BIG\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_ASC_no_auto_work\n", + "  5.32\n", + "  77.7\n", + "  0.07\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ferry_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.371\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ferry_ASC_school_univ\n", + "  0.875\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_ferry_ASC_work\n", + "  0.153\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_light_rail_ASC_eatout_escort_othdiscr_othmaint_shopping_social_atwork\n", + " -0.197\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_light_rail_ASC_school_univ\n", + "  0.611\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_light_rail_ASC_work\n", + "  0.753\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_atwork\n", + " -2.55\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_eatout\n", + " -0.608\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_escort\n", + " -4.51\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_othdiscr\n", + "  0.823\n", + "  266.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_othmaint\n", + " -3.04\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_school\n", + "  2.82\n", + "  527.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_shopping\n", + " -1.17\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_social\n", + "  1.30\n", + "  266.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_univ\n", + "  3.14\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_deficient_work\n", + "  0.0872\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_atwork\n", + " -3.57\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_eatout\n", + " -1.34\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_escort\n", + " -4.99\n", + "  266.\n", + " -0.02\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_othdiscr\n", + " -0.924\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_othmaint\n", + " -1.71\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_school\n", + "  0.156\n", + "  527.\n", + "  0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_shopping\n", + " -2.38\n", + "  266.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_social\n", + " -0.668\n", + "  266.\n", + " -0.00\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_univ\n", + "  0.473\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_auto_sufficient_work\n", + " -1.43\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_atwork\n", + "  3.19\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_eatout\n", + "  3.02\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_escort\n", + " -2.25\n", + "  280.\n", + " -0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_othdiscr\n", + "  2.90\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_othmaint\n", + "  2.65\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_school\n", + "  20.6\n", + "  524.\n", + "  0.04\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_shopping\n", + "  2.45\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_social\n", + "  2.11\n", + "  280.\n", + "  0.01\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_univ\n", + "  8.79\n", + "  0.00\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_ASC_no_auto_work\n", + "  4.67\n", + "  NA\n", + "  NA\n", + " \n", + " 0.00\n", + " \n", + " \n", + " walk_transit_CBD_ASC_atwork\n", + "  1.15\n", + "  0.283\n", + "  4.05\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_transit_CBD_ASC_eatout_escort_othdiscr_othmaint_shopping_social\n", + "  1.07\n", + "  0.0756\n", + "  14.20\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_transit_CBD_ASC_school_univ\n", + "  0.819\n", + "  0.114\n", + "  7.16\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + " walk_transit_CBD_ASC_work\n", + "  1.16\n", + "  0.0539\n", + "  21.50\n", + " ***\n", + " 0.00\n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.parameter_summary()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "TojXWivZsx7M" + }, + "source": [ + "# Output Estimation Results" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "from activitysim.estimation.larch import update_coefficients\n", + "result_dir = data.edb_directory/\"estimated\"\n", + "update_coefficients(\n", + " model, data, result_dir,\n", + " output_file=f\"{modelname}_coefficients_revised.csv\",\n", + ");" ] }, { @@ -4376,16 +4217,7 @@ "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/jeffnewman/LocalGit/larch/larch/util/excel.py:521: FutureWarning: Use of **kwargs is deprecated, use engine_kwargs instead.\n", - " xl = ExcelWriter(filename, engine='xlsxwriter_larch', model=model, **kwargs)\n" - ] - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -4473,25 +4305,25 @@ " \n", " 302\n", " walk_transit_CBD_ASC_atwork\n", - " 0.351950\n", + " 1.146544\n", " F\n", " \n", " \n", " 303\n", " drive_transit_CBD_ASC_eatout_escort_othdiscr_o...\n", - " 0.553404\n", + " 1.407306\n", " F\n", " \n", " \n", " 304\n", " drive_transit_CBD_ASC_school_univ\n", - " 62.459413\n", + " 1.179871\n", " F\n", " \n", " \n", " 305\n", " drive_transit_CBD_ASC_work\n", - " 1.432631\n", + " 1.648397\n", " F\n", " \n", " \n", @@ -4506,18 +4338,18 @@ "" ], "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_one 1.000000 T\n", - "1 coef_nest_root 1.000000 T\n", - "2 coef_nest_AUTO 0.720000 T\n", - "3 coef_nest_AUTO_DRIVEALONE 0.350000 T\n", - "4 coef_nest_AUTO_SHAREDRIDE2 0.350000 T\n", - ".. ... ... ...\n", - "302 walk_transit_CBD_ASC_atwork 0.351950 F\n", - "303 drive_transit_CBD_ASC_eatout_escort_othdiscr_o... 0.553404 F\n", - "304 drive_transit_CBD_ASC_school_univ 62.459413 F\n", - "305 drive_transit_CBD_ASC_work 1.432631 F\n", - "306 drive_transit_CBD_ASC_atwork 0.564000 F\n", + " coefficient_name value constrain\n", + "0 coef_one 1.000000 T\n", + "1 coef_nest_root 1.000000 T\n", + "2 coef_nest_AUTO 0.720000 T\n", + "3 coef_nest_AUTO_DRIVEALONE 0.350000 T\n", + "4 coef_nest_AUTO_SHAREDRIDE2 0.350000 T\n", + ".. ... ... ...\n", + "302 walk_transit_CBD_ASC_atwork 1.146544 F\n", + "303 drive_transit_CBD_ASC_eatout_escort_othdiscr_o... 1.407306 F\n", + "304 drive_transit_CBD_ASC_school_univ 1.179871 F\n", + "305 drive_transit_CBD_ASC_work 1.648397 F\n", + "306 drive_transit_CBD_ASC_atwork 0.564000 F\n", "\n", "[307 rows x 3 columns]" ] @@ -4539,7 +4371,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4553,7 +4385,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/18_atwork_subtour_freq.ipynb b/activitysim/examples/example_estimation/notebooks/18_atwork_subtour_freq.ipynb index 4bd5cd1f3..9d92886e0 100644 --- a/activitysim/examples/example_estimation/notebooks/18_atwork_subtour_freq.ipynb +++ b/activitysim/examples/example_estimation/notebooks/18_atwork_subtour_freq.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -68,12 +115,27 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_frequency/atwork_subtour_frequency_coefficients.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/atwork_subtour_frequency/atwork_subtour_frequency_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_frequency/atwork_subtour_frequency_values_combined.parquet\n" + ] + } + ], "source": [ "modelname = \"atwork_subtour_frequency\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -752,11 +814,11 @@ " util_individual_discretionary_tours_made_by_full_time_worker\n", " util_individual_discretionary_tours_made_by_part_time_worker\n", " ...\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " num_maint_shop_escort\n", " num_joint_discr\n", " num_joint_maint_shop_eat\n", @@ -790,31 +852,31 @@ " \n", " \n", " \n", - " 2998943\n", - " maint\n", - " maint\n", + " 2966594\n", + " no_subtours\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 2.48345\n", - " 26.073171\n", - " 8.048780\n", - " 6.150212\n", - " False\n", + " 9.119016\n", + " 6.446184\n", + " 9.035333\n", + " 5.256966\n", + " 6.831275\n", " 0\n", " 0\n", " 0\n", " False\n", - " 3\n", + " 1\n", " \n", " \n", - " 3060361\n", + " 3046667\n", " eat\n", " eat\n", " 1.0\n", @@ -826,45 +888,45 @@ " 0.0\n", " 0.0\n", " ...\n", - " 2.09035\n", - " 20.666667\n", - " 4.107527\n", - " 3.426505\n", - " False\n", + " 7.771767\n", + " 5.298242\n", + " 7.602426\n", + " 6.443514\n", + " 7.965548\n", " 0\n", " 0\n", " 0\n", - " True\n", + " False\n", " 1\n", " \n", " \n", - " 4422914\n", - " eat\n", + " 3048143\n", + " no_subtours\n", " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 5.35435\n", - " 139.333333\n", - " 418.518519\n", - " 104.532377\n", - " False\n", + " 7.771767\n", + " 5.298242\n", + " 7.602426\n", + " 6.443514\n", + " 7.965548\n", " 0\n", " 0\n", " 0\n", - " False\n", + " True\n", " 1\n", " \n", " \n", - " 4440298\n", - " maint\n", - " maint\n", + " 3177498\n", + " no_subtours\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", @@ -874,39 +936,39 @@ " 0.0\n", " 0.0\n", " ...\n", - " 5.22542\n", - " 97.634722\n", - " 550.205552\n", - " 82.920387\n", - " False\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 0\n", " 0\n", " 0\n", - " False\n", - " 3\n", + " True\n", + " 1\n", " \n", " \n", - " 4496796\n", - " maint\n", + " 3191848\n", + " eat\n", " maint\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 4.73802\n", - " 117.769796\n", - " 246.205869\n", - " 79.663609\n", - " False\n", + " 3.278544\n", + " 1.239060\n", + " 3.280429\n", + " 4.284159\n", + " 6.249753\n", " 0\n", " 0\n", " 0\n", - " False\n", + " True\n", " 3\n", " \n", " \n", @@ -934,258 +996,258 @@ " ...\n", " \n", " \n", - " 302923742\n", - " maint\n", - " maint\n", + " 308156039\n", + " no_subtours\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 2.37546\n", - " 19.153846\n", - " 5.907692\n", - " 4.515087\n", - " False\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 3.086628\n", + " 5.647842\n", " 0\n", " 0\n", " 0\n", - " True\n", - " 3\n", + " False\n", + " 1\n", " \n", " \n", - " 302942602\n", - " eat\n", - " eat\n", + " 308227666\n", + " no_subtours\n", + " maint\n", + " 0.0\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 2.81406\n", - " 16.068376\n", - " 21.136752\n", - " 9.128669\n", - " False\n", + " 7.890189\n", + " 4.493279\n", + " 7.643024\n", + " 5.529241\n", + " 8.876000\n", " 0\n", " 0\n", " 0\n", " True\n", - " 1\n", + " 3\n", " \n", " \n", - " 302942643\n", - " maint\n", - " maint\n", + " 308260138\n", + " no_subtours\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 2.81406\n", - " 16.068376\n", - " 21.136752\n", - " 9.128669\n", - " False\n", + " 7.614481\n", + " 3.838266\n", + " 7.011926\n", + " 5.169891\n", + " 8.595128\n", " 0\n", " 0\n", " 0\n", " False\n", - " 3\n", + " 1\n", " \n", " \n", - " 305120481\n", - " maint\n", - " maint\n", + " 309080753\n", + " no_subtours\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 8.54946\n", - " 55.606634\n", - " 142.984438\n", - " 40.036459\n", - " False\n", + " 9.892019\n", + " 6.979741\n", + " 9.773601\n", + " 6.557982\n", + " 8.518901\n", " 0\n", " 0\n", " 0\n", " False\n", - " 3\n", + " 1\n", " \n", " \n", - " 308000690\n", - " maint\n", + " 309112036\n", " maint\n", - " 0.0\n", + " eat\n", " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.0\n", + " 0.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", - " 4.64648\n", - " 196.395950\n", - " 178.779465\n", - " 93.587057\n", - " False\n", + " 0.222696\n", + " 0.016077\n", + " 0.153189\n", + " 0.000000\n", + " 0.000000\n", " 0\n", " 0\n", " 0\n", - " False\n", - " 3\n", + " True\n", + " 1\n", " \n", " \n", "\n", - "

460 rows × 182 columns

\n", + "

5947 rows × 182 columns

\n", "" ], "text/plain": [ " model_choice override_choice util_dummy_for_full_time_worker \\\n", "tour_id \n", - "2998943 maint maint 1.0 \n", - "3060361 eat eat 1.0 \n", - "4422914 eat eat 1.0 \n", - "4440298 maint maint 1.0 \n", - "4496796 maint maint 1.0 \n", + "2966594 no_subtours eat 1.0 \n", + "3046667 eat eat 1.0 \n", + "3048143 no_subtours eat 1.0 \n", + "3177498 no_subtours eat 1.0 \n", + "3191848 eat maint 1.0 \n", "... ... ... ... \n", - "302923742 maint maint 1.0 \n", - "302942602 eat eat 1.0 \n", - "302942643 maint maint 1.0 \n", - "305120481 maint maint 1.0 \n", - "308000690 maint maint 0.0 \n", + "308156039 no_subtours eat 1.0 \n", + "308227666 no_subtours maint 0.0 \n", + "308260138 no_subtours eat 1.0 \n", + "309080753 no_subtours eat 1.0 \n", + "309112036 maint eat 1.0 \n", "\n", " util_dummy_for_non_full_time_worker util_dummy_for_non_workers \\\n", "tour_id \n", - "2998943 0.0 0.0 \n", - "3060361 0.0 0.0 \n", - "4422914 0.0 0.0 \n", - "4440298 0.0 0.0 \n", - "4496796 0.0 0.0 \n", + "2966594 0.0 0.0 \n", + "3046667 0.0 0.0 \n", + "3048143 0.0 0.0 \n", + "3177498 0.0 0.0 \n", + "3191848 0.0 0.0 \n", "... ... ... \n", - "302923742 0.0 0.0 \n", - "302942602 0.0 0.0 \n", - "302942643 0.0 0.0 \n", - "305120481 0.0 0.0 \n", - "308000690 1.0 0.0 \n", + "308156039 0.0 0.0 \n", + "308227666 1.0 0.0 \n", + "308260138 0.0 0.0 \n", + "309080753 0.0 0.0 \n", + "309112036 0.0 0.0 \n", "\n", " util_medium_hh_income_dummy util_high_hh_income_dummy \\\n", "tour_id \n", - "2998943 0.0 0.0 \n", - "3060361 0.0 0.0 \n", - "4422914 0.0 0.0 \n", - "4440298 0.0 0.0 \n", - "4496796 0.0 0.0 \n", + "2966594 0.0 0.0 \n", + "3046667 0.0 0.0 \n", + "3048143 0.0 0.0 \n", + "3177498 0.0 0.0 \n", + "3191848 0.0 0.0 \n", "... ... ... \n", - "302923742 0.0 1.0 \n", - "302942602 0.0 1.0 \n", - "302942643 0.0 1.0 \n", - "305120481 0.0 1.0 \n", - "308000690 0.0 0.0 \n", + "308156039 0.0 0.0 \n", + "308227666 0.0 0.0 \n", + "308260138 0.0 0.0 \n", + "309080753 0.0 0.0 \n", + "309112036 0.0 0.0 \n", "\n", " util_zero_cars_owned_by_hh_dummy \\\n", "tour_id \n", - "2998943 1.0 \n", - "3060361 0.0 \n", - "4422914 1.0 \n", - "4440298 0.0 \n", - "4496796 1.0 \n", + "2966594 0.0 \n", + "3046667 0.0 \n", + "3048143 0.0 \n", + "3177498 0.0 \n", + "3191848 0.0 \n", "... ... \n", - "302923742 0.0 \n", - "302942602 0.0 \n", - "302942643 0.0 \n", - "305120481 0.0 \n", - "308000690 1.0 \n", + "308156039 0.0 \n", + "308227666 0.0 \n", + "308260138 0.0 \n", + "309080753 1.0 \n", + "309112036 0.0 \n", "\n", " util_individual_discretionary_tours_made_by_full_time_worker \\\n", "tour_id \n", - "2998943 0.0 \n", - "3060361 0.0 \n", - "4422914 0.0 \n", - "4440298 0.0 \n", - "4496796 0.0 \n", + "2966594 0.0 \n", + "3046667 0.0 \n", + "3048143 0.0 \n", + "3177498 0.0 \n", + "3191848 0.0 \n", "... ... \n", - "302923742 0.0 \n", - "302942602 0.0 \n", - "302942643 0.0 \n", - "305120481 0.0 \n", - "308000690 0.0 \n", + "308156039 0.0 \n", + "308227666 0.0 \n", + "308260138 0.0 \n", + "309080753 0.0 \n", + "309112036 0.0 \n", "\n", " util_individual_discretionary_tours_made_by_part_time_worker ... \\\n", "tour_id ... \n", - "2998943 0.0 ... \n", - "3060361 0.0 ... \n", - "4422914 0.0 ... \n", - "4440298 0.0 ... \n", - "4496796 0.0 ... \n", + "2966594 0.0 ... \n", + "3046667 0.0 ... \n", + "3048143 0.0 ... \n", + "3177498 0.0 ... \n", + "3191848 0.0 ... \n", "... ... ... \n", - "302923742 0.0 ... \n", - "302942602 0.0 ... \n", - "302942643 0.0 ... \n", - "305120481 0.0 ... \n", - "308000690 0.0 ... \n", + "308156039 0.0 ... \n", + "308227666 0.0 ... \n", + "308260138 0.0 ... \n", + "309080753 0.0 ... \n", + "309112036 0.0 ... \n", "\n", - " TERMINAL household_density employment_density density_index \\\n", - "tour_id \n", - "2998943 2.48345 26.073171 8.048780 6.150212 \n", - "3060361 2.09035 20.666667 4.107527 3.426505 \n", - "4422914 5.35435 139.333333 418.518519 104.532377 \n", - "4440298 5.22542 97.634722 550.205552 82.920387 \n", - "4496796 4.73802 117.769796 246.205869 79.663609 \n", - "... ... ... ... ... \n", - "302923742 2.37546 19.153846 5.907692 4.515087 \n", - "302942602 2.81406 16.068376 21.136752 9.128669 \n", - "302942643 2.81406 16.068376 21.136752 9.128669 \n", - "305120481 8.54946 55.606634 142.984438 40.036459 \n", - "308000690 4.64648 196.395950 178.779465 93.587057 \n", + " trPkTotal trOpRetail trOpTotal nmRetail nmTotal \\\n", + "tour_id \n", + "2966594 9.119016 6.446184 9.035333 5.256966 6.831275 \n", + "3046667 7.771767 5.298242 7.602426 6.443514 7.965548 \n", + "3048143 7.771767 5.298242 7.602426 6.443514 7.965548 \n", + "3177498 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "3191848 3.278544 1.239060 3.280429 4.284159 6.249753 \n", + "... ... ... ... ... ... \n", + "308156039 0.000000 0.000000 0.000000 3.086628 5.647842 \n", + "308227666 7.890189 4.493279 7.643024 5.529241 8.876000 \n", + "308260138 7.614481 3.838266 7.011926 5.169891 8.595128 \n", + "309080753 9.892019 6.979741 9.773601 6.557982 8.518901 \n", + "309112036 0.222696 0.016077 0.153189 0.000000 0.000000 \n", "\n", - " is_cbd num_maint_shop_escort num_joint_discr \\\n", - "tour_id \n", - "2998943 False 0 0 \n", - "3060361 False 0 0 \n", - "4422914 False 0 0 \n", - "4440298 False 0 0 \n", - "4496796 False 0 0 \n", - "... ... ... ... \n", - "302923742 False 0 0 \n", - "302942602 False 0 0 \n", - "302942643 False 0 0 \n", - "305120481 False 0 0 \n", - "308000690 False 0 0 \n", + " num_maint_shop_escort num_joint_discr num_joint_maint_shop_eat \\\n", + "tour_id \n", + "2966594 0 0 0 \n", + "3046667 0 0 0 \n", + "3048143 0 0 0 \n", + "3177498 0 0 0 \n", + "3191848 0 0 0 \n", + "... ... ... ... \n", + "308156039 0 0 0 \n", + "308227666 0 0 0 \n", + "308260138 0 0 0 \n", + "309080753 0 0 0 \n", + "309112036 0 0 0 \n", "\n", - " num_joint_maint_shop_eat work_tour_is_SOV override_choice_code \n", - "tour_id \n", - "2998943 0 False 3 \n", - "3060361 0 True 1 \n", - "4422914 0 False 1 \n", - "4440298 0 False 3 \n", - "4496796 0 False 3 \n", - "... ... ... ... \n", - "302923742 0 True 3 \n", - "302942602 0 True 1 \n", - "302942643 0 False 3 \n", - "305120481 0 False 3 \n", - "308000690 0 False 3 \n", + " work_tour_is_SOV override_choice_code \n", + "tour_id \n", + "2966594 False 1 \n", + "3046667 False 1 \n", + "3048143 True 1 \n", + "3177498 True 1 \n", + "3191848 True 3 \n", + "... ... ... \n", + "308156039 False 1 \n", + "308227666 True 3 \n", + "308260138 False 1 \n", + "309080753 False 1 \n", + "309112036 True 1 \n", "\n", - "[460 rows x 182 columns]" + "[5947 rows x 182 columns]" ] }, "execution_count": 6, @@ -1211,17 +1273,10 @@ "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 075 [Optimization terminated successfully]

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Iteration 100 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1233,7 +1288,7 @@ { "data": { "text/html": [ - "

Best LL = -311.0816324383027

" + "

Best LL = -4832.223778692503

" ], "text/plain": [ "" @@ -1264,70 +1319,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coefficient_at_work_sub_tour_asc_business1\n", - " 1.421407\n", + " -0.350395\n", + " -0.350395\n", " -0.5372\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 1.421407\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_business2\n", - " -0.130778\n", + " -2.211281\n", + " -2.211281\n", " -2.1337\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.130778\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_eat\n", - " 5.809056\n", + " 0.440311\n", + " 0.440311\n", " 0.8576\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 5.809056\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_eat_business\n", - " -23.415363\n", + " -0.860366\n", + " -0.860366\n", " -0.9721\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -23.415363\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_maint\n", - " 12.910479\n", + " -0.423469\n", + " -0.423469\n", " -0.6198\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 12.910479\n", " \n", " \n", " ...\n", @@ -1338,122 +1397,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_business1\n", - " -0.526876\n", + " -0.633755\n", + " -0.633755\n", " -0.3391\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.526876\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_business2\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_eat\n", " 0.000000\n", + " 0.000000\n", " 0.0000\n", " 0.0\n", - " NaN\n", - " NaN\n", + " 0.0\n", + " 0.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_eat_business\n", - " -19.116288\n", + " -0.847707\n", + " -0.847707\n", " -0.3391\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -19.116288\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_maint\n", - " 0.559350\n", + " -0.020836\n", + " -0.020836\n", " 0.1762\n", + " -50.0\n", + " 50.0\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.559350\n", " \n", " \n", "\n", - "

110 rows × 8 columns

\n", + "

110 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coefficient_at_work_sub_tour_asc_business1 1.421407 -0.5372 \n", - "coefficient_at_work_sub_tour_asc_business2 -0.130778 -2.1337 \n", - "coefficient_at_work_sub_tour_asc_eat 5.809056 0.8576 \n", - "coefficient_at_work_sub_tour_asc_eat_business -23.415363 -0.9721 \n", - "coefficient_at_work_sub_tour_asc_maint 12.910479 -0.6198 \n", - "... ... ... \n", - "coefficient_zero_cars_owned_by_hh_dummy_business1 -0.526876 -0.3391 \n", - "coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000 0.0000 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000 0.0000 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... -19.116288 -0.3391 \n", - "coefficient_zero_cars_owned_by_hh_dummy_maint 0.559350 0.1762 \n", + " value best \\\n", + "param_name \n", + "coefficient_at_work_sub_tour_asc_business1 -0.350395 -0.350395 \n", + "coefficient_at_work_sub_tour_asc_business2 -2.211281 -2.211281 \n", + "coefficient_at_work_sub_tour_asc_eat 0.440311 0.440311 \n", + "coefficient_at_work_sub_tour_asc_eat_business -0.860366 -0.860366 \n", + "coefficient_at_work_sub_tour_asc_maint -0.423469 -0.423469 \n", + "... ... ... \n", + "coefficient_zero_cars_owned_by_hh_dummy_business1 -0.633755 -0.633755 \n", + "coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000 0.000000 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000 0.000000 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... -0.847707 -0.847707 \n", + "coefficient_zero_cars_owned_by_hh_dummy_maint -0.020836 -0.020836 \n", "\n", - " nullvalue minimum \\\n", - "coefficient_at_work_sub_tour_asc_business1 0.0 NaN \n", - "coefficient_at_work_sub_tour_asc_business2 0.0 NaN \n", - "coefficient_at_work_sub_tour_asc_eat 0.0 NaN \n", - "coefficient_at_work_sub_tour_asc_eat_business 0.0 NaN \n", - "coefficient_at_work_sub_tour_asc_maint 0.0 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coefficient_at_work_sub_tour_asc_business1 -0.5372 -50.0 \n", + "coefficient_at_work_sub_tour_asc_business2 -2.1337 -50.0 \n", + "coefficient_at_work_sub_tour_asc_eat 0.8576 -50.0 \n", + "coefficient_at_work_sub_tour_asc_eat_business -0.9721 -50.0 \n", + "coefficient_at_work_sub_tour_asc_maint -0.6198 -50.0 \n", "... ... ... \n", - "coefficient_zero_cars_owned_by_hh_dummy_business1 0.0 NaN \n", - "coefficient_zero_cars_owned_by_hh_dummy_business2 0.0 NaN \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat 0.0 NaN \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... 0.0 NaN \n", - "coefficient_zero_cars_owned_by_hh_dummy_maint 0.0 NaN \n", + "coefficient_zero_cars_owned_by_hh_dummy_business1 -0.3391 -50.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_business2 0.0000 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat 0.0000 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... -0.3391 -50.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_maint 0.1762 -50.0 \n", "\n", - " maximum holdfast note \\\n", - "coefficient_at_work_sub_tour_asc_business1 NaN 0 \n", - "coefficient_at_work_sub_tour_asc_business2 NaN 0 \n", - "coefficient_at_work_sub_tour_asc_eat NaN 0 \n", - "coefficient_at_work_sub_tour_asc_eat_business NaN 0 \n", - "coefficient_at_work_sub_tour_asc_maint NaN 0 \n", - "... ... ... ... \n", - "coefficient_zero_cars_owned_by_hh_dummy_business1 NaN 0 \n", - "coefficient_zero_cars_owned_by_hh_dummy_business2 NaN 1 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat NaN 1 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... NaN 0 \n", - "coefficient_zero_cars_owned_by_hh_dummy_maint NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coefficient_at_work_sub_tour_asc_business1 50.0 0.0 \n", + "coefficient_at_work_sub_tour_asc_business2 50.0 0.0 \n", + "coefficient_at_work_sub_tour_asc_eat 50.0 0.0 \n", + "coefficient_at_work_sub_tour_asc_eat_business 50.0 0.0 \n", + "coefficient_at_work_sub_tour_asc_maint 50.0 0.0 \n", + "... ... ... \n", + "coefficient_zero_cars_owned_by_hh_dummy_business1 50.0 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_business2 0.0 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat 0.0 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... 50.0 0.0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_maint 50.0 0.0 \n", "\n", - " best \n", - "coefficient_at_work_sub_tour_asc_business1 1.421407 \n", - "coefficient_at_work_sub_tour_asc_business2 -0.130778 \n", - "coefficient_at_work_sub_tour_asc_eat 5.809056 \n", - "coefficient_at_work_sub_tour_asc_eat_business -23.415363 \n", - "coefficient_at_work_sub_tour_asc_maint 12.910479 \n", - "... ... \n", - "coefficient_zero_cars_owned_by_hh_dummy_business1 -0.526876 \n", - "coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000 \n", - "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... -19.116288 \n", - "coefficient_zero_cars_owned_by_hh_dummy_maint 0.559350 \n", + " holdfast \n", + "param_name \n", + "coefficient_at_work_sub_tour_asc_business1 0 \n", + "coefficient_at_work_sub_tour_asc_business2 0 \n", + "coefficient_at_work_sub_tour_asc_eat 0 \n", + "coefficient_at_work_sub_tour_asc_eat_business 0 \n", + "coefficient_at_work_sub_tour_asc_maint 0 \n", + "... ... \n", + "coefficient_zero_cars_owned_by_hh_dummy_business1 0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_business2 1 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat 1 \n", + "coefficient_zero_cars_owned_by_hh_dummy_eat_bus... 0 \n", + "coefficient_zero_cars_owned_by_hh_dummy_maint 0 \n", "\n", - "[110 rows x 8 columns]" + "[110 rows x 7 columns]" ] }, "metadata": {}, @@ -1463,12 +1520,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='SLSQP')\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 5.5647113087279e-33 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " model.estimate(method='SLSQP')\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -1484,446 +1537,446 @@ " \n", " \n", " coefficient_at_work_sub_tour_asc_business1\n", - " 1.421407e+00\n", + " -0.350395\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_business2\n", - " -1.307783e-01\n", + " -2.211281\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_eat\n", - " 5.809056e+00\n", + " 0.440311\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_eat_business\n", - " -2.341536e+01\n", + " -0.860366\n", " \n", " \n", " coefficient_at_work_sub_tour_asc_maint\n", - " 1.291048e+01\n", + " -0.423469\n", " \n", " \n", " coefficient_auto_accessibility_to_retail_for_work_taz_business1\n", - " -2.350832e-01\n", + " 0.078156\n", " \n", " \n", " coefficient_auto_accessibility_to_retail_for_work_taz_business2\n", - " 2.951134e+00\n", + " 0.295708\n", " \n", " \n", " coefficient_auto_accessibility_to_retail_for_work_taz_eat\n", - " -7.610481e-01\n", + " 0.137215\n", " \n", " \n", " coefficient_auto_accessibility_to_retail_for_work_taz_eat_business\n", - " 1.515548e+00\n", + " -0.262951\n", " \n", " \n", " coefficient_auto_accessibility_to_retail_for_work_taz_maint\n", - " -3.200651e+00\n", + " 0.021772\n", " \n", " \n", " coefficient_dummy_for_drive_alone_mode_for_work_tour_business1\n", - " 3.943802e+00\n", + " 0.949692\n", " \n", " \n", " coefficient_dummy_for_drive_alone_mode_for_work_tour_business2\n", - " -7.285121e+00\n", + " 1.745346\n", " \n", " \n", " coefficient_dummy_for_drive_alone_mode_for_work_tour_eat\n", - " 3.216240e+00\n", + " 0.488173\n", " \n", " \n", " coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business\n", - " 2.333483e+00\n", + " 1.784643\n", " \n", " \n", " coefficient_dummy_for_drive_alone_mode_for_work_tour_maint\n", - " 3.865797e+00\n", + " 1.106347\n", " \n", " \n", " coefficient_dummy_for_full_time_worker_business1\n", - " -1.136529e+01\n", + " -7.402415\n", " \n", " \n", " coefficient_dummy_for_full_time_worker_business2\n", - " -1.383392e+01\n", + " -13.824988\n", " \n", " \n", " coefficient_dummy_for_full_time_worker_eat\n", - " -9.545916e+00\n", + " -7.551797\n", " \n", " \n", " coefficient_dummy_for_full_time_worker_eat_business\n", - " -1.119217e+01\n", + " -14.974823\n", " \n", " \n", " coefficient_dummy_for_full_time_worker_maint\n", - " -5.880704e+00\n", + " -8.063977\n", " \n", " \n", " coefficient_dummy_for_non_full_time_worker_business1\n", - " -2.370101e+00\n", + " -8.104781\n", " \n", " \n", " coefficient_dummy_for_non_full_time_worker_business2\n", - " -1.272316e+01\n", + " -14.812593\n", " \n", " \n", " coefficient_dummy_for_non_full_time_worker_eat\n", - " -1.386629e+00\n", + " -8.749492\n", " \n", " \n", " coefficient_dummy_for_non_full_time_worker_eat_business\n", - " -4.083109e+01\n", + " -14.493442\n", " \n", " \n", " coefficient_dummy_for_non_full_time_worker_maint\n", - " 3.103983e+00\n", + " -8.046692\n", " \n", " \n", " coefficient_dummy_for_non_workers_business1\n", - " -5.000000e+00\n", + " -5.000000\n", " \n", " \n", " coefficient_dummy_for_non_workers_business2\n", - " -5.000000e+00\n", + " -5.000000\n", " \n", " \n", " coefficient_dummy_for_non_workers_eat\n", - " -3.678488e-14\n", + " 0.000000\n", " \n", " \n", " coefficient_dummy_for_non_workers_eat_business\n", - " -5.000000e+00\n", + " -5.000000\n", " \n", " \n", " coefficient_dummy_for_non_workers_maint\n", - " -5.000000e+00\n", + " -5.000000\n", " \n", " \n", " coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business1\n", - " 5.542765e-14\n", + " 0.000000\n", " \n", " \n", " coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business2\n", - " -6.800386e-14\n", + " 0.000000\n", " \n", " \n", " coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat\n", - " -7.803277e-15\n", + " 0.000000\n", " \n", " \n", " coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat_business\n", - " 9.964378e-15\n", + " 0.000000\n", " \n", " \n", " coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint\n", - " -4.465435e-01\n", + " -0.857652\n", " \n", " \n", " coefficient_high_hh_income_dummy_business1\n", - " -5.699484e+00\n", + " 1.051824\n", " \n", " \n", " coefficient_high_hh_income_dummy_business2\n", - " 1.817758e+01\n", + " 1.775205\n", " \n", " \n", " coefficient_high_hh_income_dummy_eat\n", - " -5.360138e+00\n", + " 0.987000\n", " \n", " \n", " coefficient_high_hh_income_dummy_eat_business\n", - " 5.949348e+00\n", + " 2.165299\n", " \n", " \n", " coefficient_high_hh_income_dummy_maint\n", - " -6.899602e+00\n", + " 0.188372\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_full_time_worker_business1\n", - " -1.423867e+00\n", + " 0.746021\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_full_time_worker_business2\n", - " 1.949725e+01\n", + " 0.764494\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_full_time_worker_eat\n", - " -1.457980e+00\n", + " 0.315100\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business\n", - " -1.111294e+01\n", + " 1.303968\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_full_time_worker_maint\n", - " -1.711559e+00\n", + " 0.661317\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_part_time_worker_business1\n", - " 1.701675e+00\n", + " 0.057399\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_part_time_worker_business2\n", - " 1.531338e+00\n", + " 2.149968\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_part_time_worker_eat\n", - " 9.815649e-01\n", + " 0.034146\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business\n", - " 2.152744e-01\n", + " 1.416263\n", " \n", " \n", " coefficient_individual_discretionary_tours_made_by_part_time_worker_maint\n", - " 2.494477e-01\n", + " 1.021525\n", " \n", " \n", " coefficient_individual_eating_out_tours_made_by_person_business1\n", - " 4.249081e-01\n", + " 0.263548\n", " \n", " \n", " coefficient_individual_eating_out_tours_made_by_person_business2\n", - " 1.688422e+01\n", + " 1.149846\n", " \n", " \n", " coefficient_individual_eating_out_tours_made_by_person_eat\n", - " -2.110385e-01\n", + " 0.231645\n", " \n", " \n", " coefficient_individual_eating_out_tours_made_by_person_eat_business\n", - " -1.375749e+01\n", + " 1.418076\n", " \n", " \n", " coefficient_individual_eating_out_tours_made_by_person_maint\n", - " 8.477993e-01\n", + " 1.125285\n", " \n", " \n", " coefficient_log_of_the_work_tour_duration_business1\n", - " 1.079743e+01\n", + " 1.007122\n", " \n", " \n", " coefficient_log_of_the_work_tour_duration_business2\n", - " -4.104113e+01\n", + " 1.771287\n", " \n", " \n", " coefficient_log_of_the_work_tour_duration_eat\n", - " 9.912072e+00\n", + " 1.458489\n", " \n", " \n", " coefficient_log_of_the_work_tour_duration_eat_business\n", - " 1.921602e+01\n", + " 3.447598\n", " \n", " \n", " coefficient_log_of_the_work_tour_duration_maint\n", - " 1.044261e+01\n", + " 1.642504\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business1\n", - " 5.245200e+00\n", + " -0.181697\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2\n", - " -5.957409e+00\n", + " -0.328201\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat\n", - " 5.734339e+00\n", + " -0.013286\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business\n", - " -1.136555e+01\n", + " -0.788124\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint\n", - " 5.726820e+00\n", + " 0.694707\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1\n", - " -1.437920e+01\n", + " -0.005852\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2\n", - " 1.824373e-01\n", + " -0.444998\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat\n", - " 6.645087e+00\n", + " -0.120943\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business\n", - " -4.922608e-01\n", + " -1.170010\n", " \n", " \n", " coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint\n", - " 6.390638e+00\n", + " 0.088504\n", " \n", " \n", " coefficient_medium_hh_income_dummy_business1\n", - " -3.286293e+00\n", + " 0.374955\n", " \n", " \n", " coefficient_medium_hh_income_dummy_business2\n", - " 2.006070e+00\n", + " 1.384595\n", " \n", " \n", " coefficient_medium_hh_income_dummy_eat\n", - " -2.530097e+00\n", + " 0.467235\n", " \n", " \n", " coefficient_medium_hh_income_dummy_eat_business\n", - " 1.050098e+01\n", + " 1.373736\n", " \n", " \n", " coefficient_medium_hh_income_dummy_maint\n", - " -3.095965e+00\n", + " -0.005820\n", " \n", " \n", " coefficient_participation_in_joint_discretionary_tours_business1\n", - " 8.878328e-01\n", + " 0.075698\n", " \n", " \n", " coefficient_participation_in_joint_discretionary_tours_business2\n", - " -4.199835e-01\n", + " -0.191769\n", " \n", " \n", " coefficient_participation_in_joint_discretionary_tours_eat\n", - " -2.448175e-01\n", + " 0.454516\n", " \n", " \n", " coefficient_participation_in_joint_discretionary_tours_eat_business\n", - " -2.723876e+00\n", + " -0.681551\n", " \n", " \n", " coefficient_participation_in_joint_discretionary_tours_maint\n", - " 2.745844e+00\n", + " 0.588105\n", " \n", " \n", " coefficient_participation_in_joint_shop_main_eat_tours_business1\n", - " 3.561155e+00\n", + " 0.151268\n", " \n", " \n", " coefficient_participation_in_joint_shop_main_eat_tours_business2\n", - " -2.800502e-01\n", + " 0.232018\n", " \n", " \n", " coefficient_participation_in_joint_shop_main_eat_tours_eat\n", - " 1.988637e+00\n", + " -0.054088\n", " \n", " \n", " coefficient_participation_in_joint_shop_main_eat_tours_eat_business\n", - " -6.545173e+00\n", + " 0.928998\n", " \n", " \n", " coefficient_participation_in_joint_shop_main_eat_tours_maint\n", - " 2.179332e+00\n", + " -0.354297\n", " \n", " \n", " coefficient_two_work_tours_by_person_business1\n", - " 3.694023e+00\n", + " 0.343052\n", " \n", " \n", " coefficient_two_work_tours_by_person_business2\n", - " -4.104683e+00\n", + " 0.672564\n", " \n", " \n", " coefficient_two_work_tours_by_person_eat\n", - " 1.927236e+00\n", + " -0.903976\n", " \n", " \n", " coefficient_two_work_tours_by_person_eat_business\n", - " -5.424974e+00\n", + " -1.029881\n", " \n", " \n", " coefficient_two_work_tours_by_person_maint\n", - " 3.205997e+00\n", + " 0.215840\n", " \n", " \n", " coefficient_walk_accessibility_to_retail_for_work_taz_business1\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coefficient_walk_accessibility_to_retail_for_work_taz_business2\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coefficient_walk_accessibility_to_retail_for_work_taz_eat\n", - " 5.329379e-02\n", + " 0.054262\n", " \n", " \n", " coefficient_walk_accessibility_to_retail_for_work_taz_eat_business\n", - " -4.690165e-01\n", + " 0.248444\n", " \n", " \n", " coefficient_walk_accessibility_to_retail_for_work_taz_maint\n", - " 3.930491e-01\n", + " 0.051297\n", " \n", " \n", " coefficient_workplace_suburban_area_dummy_business1\n", - " -1.102000e-01\n", + " -0.077046\n", " \n", " \n", " coefficient_workplace_suburban_area_dummy_business2\n", - " -2.204000e-01\n", + " -0.214908\n", " \n", " \n", " coefficient_workplace_suburban_area_dummy_eat\n", - " -2.916000e-01\n", + " -0.497064\n", " \n", " \n", " coefficient_workplace_suburban_area_dummy_eat_business\n", - " -4.018000e-01\n", + " -0.496303\n", " \n", " \n", " coefficient_workplace_suburban_area_dummy_maint\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coefficient_workplace_urban_area_dummy_business1\n", - " 1.735107e+00\n", + " -0.069849\n", " \n", " \n", " coefficient_workplace_urban_area_dummy_business2\n", - " 1.555922e+00\n", + " -0.530073\n", " \n", " \n", " coefficient_workplace_urban_area_dummy_eat\n", - " 4.533256e+00\n", + " -0.630025\n", " \n", " \n", " coefficient_workplace_urban_area_dummy_eat_business\n", - " -2.308496e+01\n", + " -0.435462\n", " \n", " \n", " coefficient_workplace_urban_area_dummy_maint\n", - " 1.338238e+01\n", + " -0.212890\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_business1\n", - " -5.268759e-01\n", + " -0.633755\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_business2\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_eat\n", - " 0.000000e+00\n", + " 0.000000\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_eat_business\n", - " -1.911629e+01\n", + " -0.847707\n", " \n", " \n", " coefficient_zero_cars_owned_by_hh_dummy_maint\n", - " 5.593497e-01\n", + " -0.020836\n", " \n", " \n", - "loglike-311.0816324383027d_loglike\n", + "
logloss0.8125481383373976d_logloss\n", " \n", " \n", " \n", @@ -1933,103 +1986,103 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2069,227 +2122,227 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2301,31 +2354,31 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2333,27 +2386,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2365,52 +2418,52 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coefficient_at_work_sub_tour_asc_business1-1.481164e-04-2.181632e-05
coefficient_at_work_sub_tour_asc_business2-2.230083e-05-7.974611e-06
coefficient_at_work_sub_tour_asc_eat1.390294e-046.885959e-05
coefficient_at_work_sub_tour_asc_eat_business1.539374e-04-5.704460e-06
coefficient_at_work_sub_tour_asc_maint-1.225496e-04-3.336420e-05
coefficient_auto_accessibility_to_retail_for_work_taz_business1-1.603725e-031.678059e-05
coefficient_auto_accessibility_to_retail_for_work_taz_business2-2.219798e-04-7.241747e-05
coefficient_auto_accessibility_to_retail_for_work_taz_eat1.752293e-03-6.082835e-05
coefficient_auto_accessibility_to_retail_for_work_taz_eat_business1.320801e-038.064174e-05
coefficient_auto_accessibility_to_retail_for_work_taz_maint-1.247389e-033.582349e-05
coefficient_dummy_for_drive_alone_mode_for_work_tour_business1-9.593191e-05-4.107213e-05
coefficient_dummy_for_drive_alone_mode_for_work_tour_business2-1.354692e-055.986918e-05
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat-2.279001e-047.033209e-05
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business4.011519e-04-9.447444e-06
coefficient_dummy_for_drive_alone_mode_for_work_tour_maint-6.377298e-05-7.968169e-05
coefficient_dummy_for_full_time_worker_business1-1.605243e-042.817589e-05
coefficient_dummy_for_full_time_worker_business2-2.230083e-053.226183e-05
coefficient_dummy_for_full_time_worker_eat7.303158e-051.003712e-04
coefficient_dummy_for_full_time_worker_eat_business1.539374e-041.549190e-05
coefficient_dummy_for_full_time_worker_maint-4.414386e-05-1.763008e-04
coefficient_dummy_for_non_full_time_worker_business11.240794e-05-4.999221e-05
coefficient_dummy_for_non_full_time_worker_business2-7.261864e-17-4.023644e-05
coefficient_dummy_for_non_full_time_worker_eat6.599780e-05-3.151158e-05
coefficient_dummy_for_non_full_time_worker_eat_business-1.086362e-18-2.119636e-05
coefficient_dummy_for_non_full_time_worker_maint-7.840574e-051.429366e-04
coefficient_dummy_for_non_workers_business1
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint-9.311590e-05-1.714819e-04
coefficient_high_hh_income_dummy_business1-1.000616e-04-1.191730e-05
coefficient_high_hh_income_dummy_business2-8.753913e-06-7.059313e-05
coefficient_high_hh_income_dummy_eat-2.221195e-06-5.126677e-05
coefficient_high_hh_income_dummy_eat_business2.213370e-048.255506e-05
coefficient_high_hh_income_dummy_maint-1.103003e-045.122214e-05
coefficient_individual_discretionary_tours_made_by_full_time_worker_business1-7.053640e-05-1.226983e-05
coefficient_individual_discretionary_tours_made_by_full_time_worker_business2-2.791062e-057.360525e-05
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat1.818022e-04-3.188124e-05
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business-2.707632e-066.305075e-07
coefficient_individual_discretionary_tours_made_by_full_time_worker_maint-8.064758e-05-3.008468e-05
coefficient_individual_discretionary_tours_made_by_part_time_worker_business1-9.603037e-06-2.903966e-05
coefficient_individual_discretionary_tours_made_by_part_time_worker_business2-1.629515e-19-1.376988e-05
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat-3.348668e-072.058728e-05
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business-1.124861e-22-3.015319e-05
coefficient_individual_discretionary_tours_made_by_part_time_worker_maint9.937904e-065.237545e-05
coefficient_individual_eating_out_tours_made_by_person_business1-7.862028e-05-1.667468e-04
coefficient_individual_eating_out_tours_made_by_person_business2-8.753608e-06-3.264570e-05
coefficient_individual_eating_out_tours_made_by_person_eat3.564089e-052.212368e-05
coefficient_individual_eating_out_tours_made_by_person_eat_business-1.309491e-079.515601e-06
coefficient_individual_eating_out_tours_made_by_person_maint5.186395e-051.677532e-04
coefficient_log_of_the_work_tour_duration_business1-3.971369e-041.043468e-04
coefficient_log_of_the_work_tour_duration_business2-2.991023e-058.913429e-06
coefficient_log_of_the_work_tour_duration_eat3.149096e-041.295254e-05
coefficient_log_of_the_work_tour_duration_eat_business3.910540e-04-1.066273e-04
coefficient_log_of_the_work_tour_duration_maint-2.789165e-04-1.958540e-05
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business18.932382e-064.643980e-05
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2-1.299699e-05-2.188999e-05
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat-8.667554e-051.650779e-04
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business-1.119625e-084.743178e-05
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint9.075134e-05-2.370595e-04
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1-4.914227e-102.357735e-05
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2-2.173636e-16-1.188907e-05
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat-2.658044e-067.570065e-05
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business-7.964540e-24-3.983432e-05
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint2.658536e-06-4.755461e-05
coefficient_medium_hh_income_dummy_business1-5.984683e-053.482667e-05
coefficient_medium_hh_income_dummy_business2-8.619829e-275.769942e-05
coefficient_medium_hh_income_dummy_eat1.446985e-04-5.137537e-06
coefficient_medium_hh_income_dummy_eat_business-6.509501e-05-5.711674e-05
coefficient_medium_hh_income_dummy_maint-1.975668e-05-3.027181e-05
coefficient_participation_in_joint_discretionary_tours_business11.633148e-05-5.693164e-05
coefficient_participation_in_joint_discretionary_tours_business2-3.971146e-267.289406e-05
coefficient_participation_in_joint_discretionary_tours_eat8.138286e-051.061065e-04
coefficient_participation_in_joint_discretionary_tours_eat_business-5.416119e-05-9.568225e-05
coefficient_participation_in_joint_discretionary_tours_maint-4.355316e-05-2.638670e-05
coefficient_participation_in_joint_shop_main_eat_tours_business1-1.005486e-044.632880e-05
coefficient_participation_in_joint_shop_main_eat_tours_business2-1.490847e-157.216085e-07
coefficient_participation_in_joint_shop_main_eat_tours_eat1.024581e-04-6.996621e-05
coefficient_participation_in_joint_shop_main_eat_tours_eat_business-8.904994e-071.708229e-06
coefficient_participation_in_joint_shop_main_eat_tours_maint-1.018973e-062.120756e-05
coefficient_two_work_tours_by_person_business17.076435e-059.533131e-05
coefficient_two_work_tours_by_person_business2-3.049929e-10-7.711784e-06
coefficient_two_work_tours_by_person_eat1.336457e-05-5.696558e-06
coefficient_two_work_tours_by_person_eat_business-1.430779e-06-5.510631e-05
coefficient_two_work_tours_by_person_maint-8.269783e-05-2.681666e-05
coefficient_walk_accessibility_to_retail_for_work_taz_business1
coefficient_walk_accessibility_to_retail_for_work_taz_eat2.395850e-038.877549e-05
coefficient_walk_accessibility_to_retail_for_work_taz_eat_business-5.362286e-045.191476e-05
coefficient_walk_accessibility_to_retail_for_work_taz_maint-6.315696e-04-3.267917e-05
coefficient_workplace_suburban_area_dummy_business10.000000e+00-2.911572e-05
coefficient_workplace_suburban_area_dummy_business20.000000e+00-3.969147e-06
coefficient_workplace_suburban_area_dummy_eat0.000000e+002.978185e-05
coefficient_workplace_suburban_area_dummy_eat_business0.000000e+00-8.309287e-06
coefficient_workplace_suburban_area_dummy_maint
coefficient_workplace_urban_area_dummy_business1-1.481164e-047.299400e-06
coefficient_workplace_urban_area_dummy_business2-2.230083e-05-4.005464e-06
coefficient_workplace_urban_area_dummy_eat1.390294e-043.907774e-05
coefficient_workplace_urban_area_dummy_eat_business1.539374e-042.604827e-06
coefficient_workplace_urban_area_dummy_maint-1.225496e-04-4.497650e-05
coefficient_zero_cars_owned_by_hh_dummy_business1-2.241883e-04-1.324894e-05
coefficient_zero_cars_owned_by_hh_dummy_business2
coefficient_zero_cars_owned_by_hh_dummy_eat_business-4.538836e-09-8.057484e-05
coefficient_zero_cars_owned_by_hh_dummy_maint-3.467043e-05-2.405112e-05
nit75nfev115njev75status0message'Optimization terminated successfully'successTrueelapsed_time0:00:01.501390method'SLSQP'n_cases460iteration_number75logloss0.6762644183441363" + "nit100nfev104njev100status0message'Optimization terminated successfully'successTrueelapsed_time0:00:00.874759method'SLSQP'n_cases5947iteration_number100loglike-4832.223778692503" ], "text/plain": [ - "┣ x: coefficient_at_work_sub_tour_asc_business1 1.421407\n", - "┃ coefficient_at_work_sub_tour_asc_business2 -0.130778\n", - "┃ coefficient_at_work_sub_tour_asc_eat 5.809056\n", - "┃ coefficient_at_work_sub_tour_asc_eat_business -23.415363\n", - "┃ coefficient_at_work_sub_tour_asc_maint 12.910479\n", - "┃ ... \n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_business1 -0.526876\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_eat_business -19.116288\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_maint 0.559350\n", + "┣ x: coefficient_at_work_sub_tour_asc_business1 -0.350395\n", + "┃ coefficient_at_work_sub_tour_asc_business2 -2.211281\n", + "┃ coefficient_at_work_sub_tour_asc_eat 0.440311\n", + "┃ coefficient_at_work_sub_tour_asc_eat_business -0.860366\n", + "┃ coefficient_at_work_sub_tour_asc_maint -0.423469\n", + "┃ ... \n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_business1 -0.633755\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_eat_business -0.847707\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_maint -0.020836\n", "┃ Length: 110, dtype: float64\n", - "┣ loglike: -311.0816324383027\n", - "┣ d_loglike: coefficient_at_work_sub_tour_asc_business1 -1.481164e-04\n", - "┃ coefficient_at_work_sub_tour_asc_business2 -2.230083e-05\n", - "┃ coefficient_at_work_sub_tour_asc_eat 1.390294e-04\n", - "┃ coefficient_at_work_sub_tour_asc_eat_business 1.539374e-04\n", - "┃ coefficient_at_work_sub_tour_asc_maint -1.225496e-04\n", - "┃ ... \n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_business1 -2.241883e-04\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000e+00\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000e+00\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_eat_business -4.538836e-09\n", - "┃ coefficient_zero_cars_owned_by_hh_dummy_maint -3.467043e-05\n", + "┣ logloss: 0.8125481383373976\n", + "┣ d_logloss: coefficient_at_work_sub_tour_asc_business1 -0.000022\n", + "┃ coefficient_at_work_sub_tour_asc_business2 -0.000008\n", + "┃ coefficient_at_work_sub_tour_asc_eat 0.000069\n", + "┃ coefficient_at_work_sub_tour_asc_eat_business -0.000006\n", + "┃ coefficient_at_work_sub_tour_asc_maint -0.000033\n", + "┃ ... \n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_business1 -0.000013\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_business2 0.000000\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_eat 0.000000\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_eat_business -0.000081\n", + "┃ coefficient_zero_cars_owned_by_hh_dummy_maint -0.000024\n", "┃ Length: 110, dtype: float64\n", - "┣ nit: 75\n", - "┣ nfev: 115\n", - "┣ njev: 75\n", + "┣ nit: 100\n", + "┣ nfev: 104\n", + "┣ njev: 100\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=1, microseconds=501390)\n", + "┣ elapsed_time: datetime.timedelta(microseconds=874759)\n", "┣ method: 'SLSQP'\n", - "┣ n_cases: 460\n", - "┣ iteration_number: 75\n", - "┣ logloss: 0.6762644183441363" + "┣ n_cases: 5947\n", + "┣ iteration_number: 100\n", + "┣ loglike: -4832.223778692503" ] }, "execution_count": 7, @@ -2419,7 +2472,7 @@ } ], "source": [ - "model.estimate(method='SLSQP')" + "model.estimate(method='SLSQP', maxiter=900)" ] }, { @@ -2437,1120 +2490,1036 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coefficient_at_work_sub_tour_asc_business1 1.42 NA NA[***] 29.59 0.00
coefficient_at_work_sub_tour_asc_business2-0.131 1.51e+04-0.00 NA 0.00
coefficient_at_work_sub_tour_asc_eat 5.81 484. 0.01 NA 0.00
coefficient_at_work_sub_tour_asc_eat_business-23.4 NA NA[***] BIG 0.00
coefficient_at_work_sub_tour_asc_maint 12.9 523. 0.02 NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_business1-0.235 NA NA[***] 181.30 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_business2 2.95 2.55e+03 0.00 NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_eat-0.761 NA NA[***] 714.04 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_eat_business 1.52 NA NA[***] 41.92 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_maint-3.20 NA NA[***] BIG 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_business1 3.94 NA NA[***] 77.39 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_business2-7.29 NA NA[] 0.02 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat 3.22 NA NA[***] 201.21 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business 2.33 NA NA[] 1.40 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_maint 3.87 NA NA[***] 79.47 0.00
coefficient_dummy_for_full_time_worker_business1-11.4 NA NA[***] BIG 0.00
coefficient_dummy_for_full_time_worker_business2-13.8 NA NA[**] 5.21 0.00
coefficient_dummy_for_full_time_worker_eat-9.55 NA NA[***] 827.25 0.00
coefficient_dummy_for_full_time_worker_eat_business-11.2 NA NA[***] BIG 0.00
coefficient_dummy_for_full_time_worker_maint-5.88 260.-0.02 NA 0.00
coefficient_dummy_for_non_full_time_worker_business1-2.37 1.09e+03-0.00 NA 0.00
coefficient_dummy_for_non_full_time_worker_business2-12.7 NA NA[] 0.00 0.00
coefficient_dummy_for_non_full_time_worker_eat-1.39 1.96e+03-0.00 NA 0.00
coefficient_dummy_for_non_full_time_worker_eat_business-40.8 NA NA[] 1.24 0.00
coefficient_dummy_for_non_full_time_worker_maint 3.10 2.40e+03 0.00 NA 0.00
coefficient_dummy_for_non_workers_business1-5.00 NA NA NA 0.00fixed value
coefficient_dummy_for_non_workers_business2-5.00 NA NA NA 0.00fixed value
coefficient_dummy_for_non_workers_eat 0.00 NA NA NA 0.00fixed value
coefficient_dummy_for_non_workers_eat_business-5.00 NA NA NA 0.00fixed value
coefficient_dummy_for_non_workers_maint-5.00 NA NA NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business1 0.00 NA NA NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business2 0.00 NA NA NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat 0.00 NA NA NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat_business 0.00 NA NA NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint-0.447 0.821-0.54 NA 0.00
coefficient_high_hh_income_dummy_business1-5.70 NA NA[***] 900.87 0.00
coefficient_high_hh_income_dummy_business2 18.2 NA NA[***] 5.91 0.00
coefficient_high_hh_income_dummy_eat-5.36 NA NA[***] 296.55 0.00
coefficient_high_hh_income_dummy_eat_business 5.95 430. 0.01 NA 0.00
coefficient_high_hh_income_dummy_maint-6.90 NA NA[***] BIG 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_business1-1.42 540.-0.00 NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_business2 19.5 4.34e+03 0.00 NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat-1.46 540.-0.00 NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business-11.1 806.-0.01 NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_maint-1.71 540.-0.00 NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_business1 1.70 NA NA[] 0.74 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_business2 1.53 0.000562 BIG*** NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat 0.982 NA NA[] 0.40 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business 0.215 0.000123 BIG*** NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_maint 0.249 NA NA[] 0.02 0.00
coefficient_individual_eating_out_tours_made_by_person_business1 0.425 NA NA[] 0.26 0.00
coefficient_individual_eating_out_tours_made_by_person_business2 16.9 NA NA[**] 4.62 0.00
coefficient_individual_eating_out_tours_made_by_person_eat-0.211 NA NA[] 0.12 0.00
coefficient_individual_eating_out_tours_made_by_person_eat_business-13.8 2.41e+03-0.01 NA 0.00
coefficient_individual_eating_out_tours_made_by_person_maint 0.848 NA NA[] 1.11 0.00
coefficient_log_of_the_work_tour_duration_business1 10.8 NA NA[***] BIG 0.00
coefficient_log_of_the_work_tour_duration_business2-41.0 4.06e+03-0.01 NA 0.00
coefficient_log_of_the_work_tour_duration_eat 9.91 NA NA[***] BIG 0.00
coefficient_log_of_the_work_tour_duration_eat_business 19.2 NA NA[***] 151.19 0.00
coefficient_log_of_the_work_tour_duration_maint 10.4 NA NA[***] BIG 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business1 5.25 NA NA[***] 17.02 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2-5.96 1.41e+04-0.00 NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat 5.73 NA NA[***] 170.02 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business-11.4 7.01e+03-0.00 NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint 5.73 NA NA[***] 19.07 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1-14.4 NA NA[] 0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2 0.182 NA NA[] 0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat 6.65 5.15e+03 0.00 NA 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business-0.492 NA NA[] 0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint 6.39 5.15e+03 0.00 NA 0.00
coefficient_medium_hh_income_dummy_business1-3.29 1.13e+03-0.00 NA 0.00
coefficient_medium_hh_income_dummy_business2 2.01 NA NA[] 0.00 0.00
coefficient_medium_hh_income_dummy_eat-2.53 1.13e+03-0.00 NA 0.00
coefficient_medium_hh_income_dummy_eat_business 10.5 1.27e+03 0.01 NA 0.00
coefficient_medium_hh_income_dummy_maint-3.10 1.13e+03-0.00 NA 0.00
coefficient_participation_in_joint_discretionary_tours_business1 0.888 NA NA[] 0.23 0.00
coefficient_participation_in_joint_discretionary_tours_business2-0.420 NA NA[] 0.00 0.00
coefficient_participation_in_joint_discretionary_tours_eat-0.245 NA NA[] 0.02 0.00
coefficient_participation_in_joint_discretionary_tours_eat_business-2.72 NA NA[] 0.00 0.00
coefficient_participation_in_joint_discretionary_tours_maint 2.75 NA NA[*] 2.92 0.00
coefficient_participation_in_joint_shop_main_eat_tours_business1 3.56 1.13e+03 0.00 NA 0.00
coefficient_participation_in_joint_shop_main_eat_tours_business2-0.280 NA NA[] 0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_eat 1.99 1.13e+03 0.00 NA 0.00
coefficient_participation_in_joint_shop_main_eat_tours_eat_business-6.55 1.38e+03-0.00 NA 0.00
coefficient_participation_in_joint_shop_main_eat_tours_maint 2.18 1.13e+03 0.00 NA 0.00
coefficient_two_work_tours_by_person_business1 3.69 NA NA[**] 5.16 0.00
coefficient_two_work_tours_by_person_business2-4.10 2.72e+03-0.00 NA 0.00
coefficient_two_work_tours_by_person_eat 1.93 NA NA[**] 4.09 0.00
coefficient_two_work_tours_by_person_eat_business-5.42 NA NA[] 0.00 0.00
coefficient_two_work_tours_by_person_maint 3.21 NA NA[**] 4.07 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_business1 0.00 NA NA NA 0.00fixed value
coefficient_walk_accessibility_to_retail_for_work_taz_business2 0.00 NA NA NA 0.00fixed value
coefficient_walk_accessibility_to_retail_for_work_taz_eat 0.0533 0.234 0.23 NA 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_eat_business-0.469 0.669-0.70 NA 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_maint 0.393 0.308 1.28 NA 0.00
coefficient_workplace_suburban_area_dummy_business1-0.110 0.00 NA[] 0.00 0.00
coefficient_workplace_suburban_area_dummy_business2-0.220 0.00 NA[] 0.00 0.00
coefficient_workplace_suburban_area_dummy_eat-0.292 0.00 NA[] 0.00 0.00
coefficient_workplace_suburban_area_dummy_eat_business-0.402 0.00 NA[] 0.00 0.00
coefficient_workplace_suburban_area_dummy_maint 0.00 NA NA NA 0.00fixed value
coefficient_workplace_urban_area_dummy_business1 1.74 NA NA[***] 41.10 0.00
coefficient_workplace_urban_area_dummy_business2 1.56 NA NA[]-0.00 0.00
coefficient_workplace_urban_area_dummy_eat 4.53 NA NA[***] 890.88 0.00
coefficient_workplace_urban_area_dummy_eat_business-23.1 NA NA[***] BIG 0.00
coefficient_workplace_urban_area_dummy_maint 13.4 579. 0.02 NA 0.00
coefficient_zero_cars_owned_by_hh_dummy_business1-0.527 0.582-0.90 NA 0.00
coefficient_zero_cars_owned_by_hh_dummy_business2 0.00 NA NA NA 0.00fixed value
coefficient_zero_cars_owned_by_hh_dummy_eat 0.00 NA NA NA 0.00fixed value
coefficient_zero_cars_owned_by_hh_dummy_eat_business-19.1 1.36e+04-0.00 NA 0.00
coefficient_zero_cars_owned_by_hh_dummy_maint 0.559 0.426 1.31 NA 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coefficient_at_work_sub_tour_asc_business1-0.350 1.10e+03-0.00 0.00
coefficient_at_work_sub_tour_asc_business2-2.21 2.21e+03-0.00 0.00
coefficient_at_work_sub_tour_asc_eat 0.440 NA NA 0.00
coefficient_at_work_sub_tour_asc_eat_business-0.860 495.-0.00 0.00
coefficient_at_work_sub_tour_asc_maint-0.423 NA NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_business1 0.0782 NA NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_business2 0.296 NA NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_eat 0.137 NA NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_eat_business-0.263 NA NA 0.00
coefficient_auto_accessibility_to_retail_for_work_taz_maint 0.0218 NA NA 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_business1 0.950 NA NA 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_business2 1.75 NA NA 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat 0.488 NA NA 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_eat_business 1.78 NA NA 0.00
coefficient_dummy_for_drive_alone_mode_for_work_tour_maint 1.11 NA NA 0.00
coefficient_dummy_for_full_time_worker_business1-7.40 552.-0.01 0.00
coefficient_dummy_for_full_time_worker_business2-13.8 1.67e+03-0.01 0.00
coefficient_dummy_for_full_time_worker_eat-7.55 1.25e+03-0.01 0.00
coefficient_dummy_for_full_time_worker_eat_business-15.0 2.70e+03-0.01 0.00
coefficient_dummy_for_full_time_worker_maint-8.06 1.60e+03-0.01 0.00
coefficient_dummy_for_non_full_time_worker_business1-8.10 687.-0.01 0.00
coefficient_dummy_for_non_full_time_worker_business2-14.8 1.52e+03-0.01 0.00
coefficient_dummy_for_non_full_time_worker_eat-8.75 1.58e+03-0.01 0.00
coefficient_dummy_for_non_full_time_worker_eat_business-14.5 2.34e+03-0.01 0.00
coefficient_dummy_for_non_full_time_worker_maint-8.05 2.29e+03-0.00 0.00
coefficient_dummy_for_non_workers_business1-5.00 0.00 NA 0.00fixed value
coefficient_dummy_for_non_workers_business2-5.00 0.00 NA 0.00fixed value
coefficient_dummy_for_non_workers_eat 0.00 0.00 NA 0.00fixed value
coefficient_dummy_for_non_workers_eat_business-5.00 0.00 NA 0.00fixed value
coefficient_dummy_for_non_workers_maint-5.00 0.00 NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business1 0.00 0.00 NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_business2 0.00 0.00 NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat 0.00 0.00 NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_eat_business 0.00 0.00 NA 0.00fixed value
coefficient_dummy_for_worker_or_student_with_non_mandatory_tour_maint-0.858 0.324-2.64** 0.00
coefficient_high_hh_income_dummy_business1 1.05 733. 0.00 0.00
coefficient_high_hh_income_dummy_business2 1.78 733. 0.00 0.00
coefficient_high_hh_income_dummy_eat 0.987 733. 0.00 0.00
coefficient_high_hh_income_dummy_eat_business 2.17 733. 0.00 0.00
coefficient_high_hh_income_dummy_maint 0.188 733. 0.00 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_business1 0.746 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_business2 0.764 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat 0.315 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_eat_business 1.30 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_full_time_worker_maint 0.661 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_business1 0.0574 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_business2 2.15 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat 0.0341 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_eat_business 1.42 NA NA 0.00
coefficient_individual_discretionary_tours_made_by_part_time_worker_maint 1.02 NA NA 0.00
coefficient_individual_eating_out_tours_made_by_person_business1 0.264 NA NA 0.00
coefficient_individual_eating_out_tours_made_by_person_business2 1.15 NA NA 0.00
coefficient_individual_eating_out_tours_made_by_person_eat 0.232 NA NA 0.00
coefficient_individual_eating_out_tours_made_by_person_eat_business 1.42 NA NA 0.00
coefficient_individual_eating_out_tours_made_by_person_maint 1.13 NA NA 0.00
coefficient_log_of_the_work_tour_duration_business1 1.01 288. 0.00 0.00
coefficient_log_of_the_work_tour_duration_business2 1.77 288. 0.01 0.00
coefficient_log_of_the_work_tour_duration_eat 1.46 288. 0.01 0.00
coefficient_log_of_the_work_tour_duration_eat_business 3.45 288. 0.01 0.00
coefficient_log_of_the_work_tour_duration_maint 1.64 288. 0.01 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business1-0.182 NA NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_business2-0.328 NA NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat-0.0133 NA NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_eat_business-0.788 NA NA 0.00
coefficient_main_shop_escort_tours_allocated_to_full_time_worker_maint 0.695 NA NA 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business1-0.00585 1.19e+03-0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_business2-0.445 1.19e+03-0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat-0.121 1.19e+03-0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_eat_business-1.17 1.19e+03-0.00 0.00
coefficient_main_shop_escort_tours_allocated_to_part_time_worker_maint 0.0885 1.19e+03 0.00 0.00
coefficient_medium_hh_income_dummy_business1 0.375 772. 0.00 0.00
coefficient_medium_hh_income_dummy_business2 1.38 772. 0.00 0.00
coefficient_medium_hh_income_dummy_eat 0.467 772. 0.00 0.00
coefficient_medium_hh_income_dummy_eat_business 1.37 772. 0.00 0.00
coefficient_medium_hh_income_dummy_maint-0.00582 772.-0.00 0.00
coefficient_participation_in_joint_discretionary_tours_business1 0.0757 3.02e+03 0.00 0.00
coefficient_participation_in_joint_discretionary_tours_business2-0.192 3.02e+03-0.00 0.00
coefficient_participation_in_joint_discretionary_tours_eat 0.455 3.02e+03 0.00 0.00
coefficient_participation_in_joint_discretionary_tours_eat_business-0.682 3.02e+03-0.00 0.00
coefficient_participation_in_joint_discretionary_tours_maint 0.588 3.02e+03 0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_business1 0.151 1.04e+03 0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_business2 0.232 1.04e+03 0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_eat-0.0541 1.04e+03-0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_eat_business 0.929 1.04e+03 0.00 0.00
coefficient_participation_in_joint_shop_main_eat_tours_maint-0.354 1.04e+03-0.00 0.00
coefficient_two_work_tours_by_person_business1 0.343 NA NA 0.00
coefficient_two_work_tours_by_person_business2 0.673 NA NA 0.00
coefficient_two_work_tours_by_person_eat-0.904 NA NA 0.00
coefficient_two_work_tours_by_person_eat_business-1.03 NA NA 0.00
coefficient_two_work_tours_by_person_maint 0.216 NA NA 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_business1 0.00 0.00 NA 0.00fixed value
coefficient_walk_accessibility_to_retail_for_work_taz_business2 0.00 0.00 NA 0.00fixed value
coefficient_walk_accessibility_to_retail_for_work_taz_eat 0.0543 0.0307 1.77 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_eat_business 0.248 0.125 1.98* 0.00
coefficient_walk_accessibility_to_retail_for_work_taz_maint 0.0513 0.0415 1.24 0.00
coefficient_workplace_suburban_area_dummy_business1-0.0770 695.-0.00 0.00
coefficient_workplace_suburban_area_dummy_business2-0.215 1.23e+03-0.00 0.00
coefficient_workplace_suburban_area_dummy_eat-0.497 235.-0.00 0.00
coefficient_workplace_suburban_area_dummy_eat_business-0.496 5.05e+03-0.00 0.00
coefficient_workplace_suburban_area_dummy_maint 0.00 0.00 NA 0.00fixed value
coefficient_workplace_urban_area_dummy_business1-0.0698 NA NA 0.00
coefficient_workplace_urban_area_dummy_business2-0.530 1.18e+03-0.00 0.00
coefficient_workplace_urban_area_dummy_eat-0.630 NA NA 0.00
coefficient_workplace_urban_area_dummy_eat_business-0.435 5.37e+03-0.00 0.00
coefficient_workplace_urban_area_dummy_maint-0.213 305.-0.00 0.00
coefficient_zero_cars_owned_by_hh_dummy_business1-0.634 0.312-2.03* 0.00
coefficient_zero_cars_owned_by_hh_dummy_business2 0.00 0.00 NA 0.00fixed value
coefficient_zero_cars_owned_by_hh_dummy_eat 0.00 0.00 NA 0.00fixed value
coefficient_zero_cars_owned_by_hh_dummy_eat_business-0.848 1.51-0.56 0.00
coefficient_zero_cars_owned_by_hh_dummy_maint-0.0208 0.253-0.08 0.00
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -3597,18 +3566,7 @@ "cell_type": "code", "execution_count": 10, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3660,31 +3618,31 @@ " \n", " 0\n", " coefficient_dummy_for_full_time_worker_business1\n", - " -11.365293\n", + " -7.402415\n", " F\n", " \n", " \n", " 1\n", " coefficient_dummy_for_full_time_worker_business2\n", - " -13.833915\n", + " -13.824988\n", " F\n", " \n", " \n", " 2\n", " coefficient_dummy_for_full_time_worker_eat\n", - " -9.545916\n", + " -7.551797\n", " F\n", " \n", " \n", " 3\n", " coefficient_dummy_for_full_time_worker_eat_bus...\n", - " -11.192172\n", + " -14.974823\n", " F\n", " \n", " \n", " 4\n", " coefficient_dummy_for_full_time_worker_maint\n", - " -5.880704\n", + " -8.063977\n", " F\n", " \n", " \n", @@ -3696,25 +3654,25 @@ " \n", " 127\n", " coefficient_at_work_sub_tour_asc_business2\n", - " -0.130778\n", + " -2.211281\n", " F\n", " \n", " \n", " 128\n", " coefficient_at_work_sub_tour_asc_eat\n", - " 5.809056\n", + " 0.440311\n", " F\n", " \n", " \n", " 129\n", " coefficient_at_work_sub_tour_asc_eat_business\n", - " -23.415363\n", + " -0.860366\n", " F\n", " \n", " \n", " 130\n", " coefficient_at_work_sub_tour_asc_maint\n", - " 12.910479\n", + " -0.423469\n", " F\n", " \n", " \n", @@ -3730,16 +3688,16 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coefficient_dummy_for_full_time_worker_business1 -11.365293 F\n", - "1 coefficient_dummy_for_full_time_worker_business2 -13.833915 F\n", - "2 coefficient_dummy_for_full_time_worker_eat -9.545916 F\n", - "3 coefficient_dummy_for_full_time_worker_eat_bus... -11.192172 F\n", - "4 coefficient_dummy_for_full_time_worker_maint -5.880704 F\n", + "0 coefficient_dummy_for_full_time_worker_business1 -7.402415 F\n", + "1 coefficient_dummy_for_full_time_worker_business2 -13.824988 F\n", + "2 coefficient_dummy_for_full_time_worker_eat -7.551797 F\n", + "3 coefficient_dummy_for_full_time_worker_eat_bus... -14.974823 F\n", + "4 coefficient_dummy_for_full_time_worker_maint -8.063977 F\n", ".. ... ... ...\n", - "127 coefficient_at_work_sub_tour_asc_business2 -0.130778 F\n", - "128 coefficient_at_work_sub_tour_asc_eat 5.809056 F\n", - "129 coefficient_at_work_sub_tour_asc_eat_business -23.415363 F\n", - "130 coefficient_at_work_sub_tour_asc_maint 12.910479 F\n", + "127 coefficient_at_work_sub_tour_asc_business2 -2.211281 F\n", + "128 coefficient_at_work_sub_tour_asc_eat 0.440311 F\n", + "129 coefficient_at_work_sub_tour_asc_eat_business -0.860366 F\n", + "130 coefficient_at_work_sub_tour_asc_maint -0.423469 F\n", "131 coefficient_at_work_sub_tour_asc_no_subtours 0.000000 T\n", "\n", "[132 rows x 3 columns]" @@ -3762,7 +3720,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3776,7 +3734,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/19_atwork_subtour_dest.ipynb b/activitysim/examples/example_estimation/notebooks/19_atwork_subtour_dest.ipynb index a340efca7..5219560f6 100644 --- a/activitysim/examples/example_estimation/notebooks/19_atwork_subtour_dest.ipynb +++ b/activitysim/examples/example_estimation/notebooks/19_atwork_subtour_dest.ipynb @@ -26,30 +26,74 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import larch # !conda install larch #for estimation\n", + "import larch as lx\n", "import pandas as pd\n", - "import numpy as np\n", - "import yaml \n", - "import larch.util.excel\n", - "import os" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -72,10 +116,27 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_destination/atwork_subtour_destination_size_terms.csv\n" + ] + } + ], "source": [ "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -236,148 +297,88 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", - " 8\n", - " ...\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", - " 190\n", + " alt_dest\n", + " util_distance_piecewise_linear_from_0_to_1_miles\n", + " util_distance_piecewise_linear_from_1_to_2_miles\n", + " util_distance_piecewise_linear_from_2_to_5_miles\n", + " util_distance_piecewise_linear_from_5_to_15_miles\n", + " util_distance_piecewise_linear_for_15_plus_miles\n", + " util_size_variable_atwork\n", + " util_no_attractions_atwork_size_variable_is_0\n", + " util_mode_choice_logsum\n", + " util_sample_of_alternatives_correction_factor\n", " \n", " \n", " \n", " \n", " 0\n", - " 2998927\n", - " util_distance_piecewise_linear_for_15_plus_miles\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 2966559\n", + " 4\n", + " 0.99\n", + " 0.00\n", + " 0.00\n", " 0.0\n", " 0.0\n", + " 7.026095\n", + " False\n", + " 14.641064\n", + " 3.669233\n", " \n", " \n", " 1\n", - " 2998927\n", - " util_distance_piecewise_linear_from_0_to_1_miles\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " ...\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", + " 2966559\n", + " 9\n", + " 1.00\n", + " 0.98\n", + " 0.00\n", + " 0.0\n", + " 0.0\n", + " 7.841204\n", + " False\n", + " 13.896585\n", + " 4.331944\n", " \n", " \n", " 2\n", - " 2998927\n", - " util_distance_piecewise_linear_from_1_to_2_miles\n", - " 1.0\n", - " 0.9299999475479126\n", - " 0.7599999904632568\n", - " 0.7699999809265137\n", - " 0.4700000286102295\n", - " 0.2799999713897705\n", - " 0.12000000476837158\n", - " 0.25999999046325684\n", - " ...\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", - " 1.0\n", + " 2966559\n", + " 11\n", + " 1.00\n", + " 0.35\n", + " 0.00\n", + " 0.0\n", + " 0.0\n", + " 7.778631\n", + " False\n", + " 14.171065\n", + " 3.202032\n", " \n", " \n", " 3\n", - " 2998927\n", - " util_distance_piecewise_linear_from_2_to_5_miles\n", - " 0.029999971389770508\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 2966559\n", + " 12\n", + " 0.89\n", + " 0.00\n", + " 0.00\n", " 0.0\n", " 0.0\n", - " ...\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 2.9600000381469727\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", - " 3.0\n", + " 7.385584\n", + " False\n", + " 14.520744\n", + " 4.616777\n", " \n", " \n", " 4\n", - " 2998927\n", - " util_distance_piecewise_linear_from_5_to_15_miles\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 2966559\n", + " 14\n", + " 0.87\n", + " 0.00\n", + " 0.00\n", " 0.0\n", - " ...\n", - " 0.8899998664855957\n", - " 1.8000001907348633\n", - " 1.3299999237060547\n", - " 0.48999977111816406\n", " 0.0\n", - " 1.0799999237060547\n", - " 0.9899997711181641\n", - " 1.070000171661377\n", - " 1.929999828338623\n", - " 2.130000114440918\n", + " 6.755056\n", + " False\n", + " 14.588424\n", + " 4.538306\n", " \n", " \n", " ...\n", @@ -392,235 +393,188 @@ " ...\n", " ...\n", " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", " \n", " \n", - " 4171\n", - " 308000674\n", - " util_distance_piecewise_linear_from_5_to_15_miles\n", - " 1.4200000762939453\n", - " 1.3600001335144043\n", - " 1.2899999618530273\n", - " 1.1700000762939453\n", - " 0.9699997901916504\n", - " 0.9699997901916504\n", - " 0.809999942779541\n", - " 0.6100001335144043\n", - " ...\n", - " 0.75\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 125546\n", + " 309112001\n", + " 1375\n", + " 1.00\n", + " 1.00\n", + " 1.38\n", " 0.0\n", " 0.0\n", + " 5.398090\n", + " False\n", + " 12.614690\n", + " 4.169279\n", + " \n", + " \n", + " 125547\n", + " 309112001\n", + " 1376\n", + " 1.00\n", + " 1.00\n", + " 0.95\n", " 0.0\n", " 0.0\n", + " 5.786087\n", + " False\n", + " 12.938050\n", + " 3.557811\n", + " \n", + " \n", + " 125548\n", + " 309112001\n", + " 1378\n", + " 1.00\n", + " 1.00\n", + " 0.76\n", " 0.0\n", " 0.0\n", + " 5.680807\n", + " False\n", + " 13.080930\n", + " 3.564348\n", " \n", " \n", - " 4172\n", - " 308000674\n", - " util_mode_choice_logsum\n", - " 1.743683315365601\n", - " 1.8090398438241646\n", - " 1.9187317689932244\n", - " 1.845763258455972\n", - " 1.9118565509402088\n", - " 2.070472775294134\n", - " 2.0749647025662954\n", - " 2.0765252832944836\n", - " ...\n", - " 1.4896400525368332\n", - " 1.9120295717956781\n", - " 1.9541420210552534\n", - " 1.9566568956436885\n", - " 2.1147517922008467\n", - " 2.110613932849587\n", - " 2.36614159716225\n", - " 2.675175002962727\n", - " 2.45867106695333\n", - " 2.161156410360593\n", - " \n", - " \n", - " 4173\n", - " 308000674\n", - " util_no_attractions_atwork_size_variable_is_0\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " ...\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", + " 125549\n", + " 309112001\n", + " 1380\n", + " 1.00\n", + " 1.00\n", + " 0.67\n", + " 0.0\n", + " 0.0\n", + " 6.972544\n", " False\n", + " 13.148609\n", + " 3.835276\n", " \n", " \n", - " 4174\n", - " 308000674\n", - " util_sample_of_alternatives_correction_factor\n", - " 5.621843324877587\n", - " 4.892390701697378\n", - " 6.41959006998515\n", - " 5.121864578661301\n", - " 4.0943304970661645\n", - " 5.6640922965207166\n", - " 4.849601771676099\n", - " 5.493466028204648\n", - " ...\n", - " 7.195735435552638\n", - " 6.66177523532048\n", - " 5.775893570617849\n", - " 5.627447629966182\n", - " 5.316640911769303\n", - " 5.484197717810032\n", - " 5.248188568415137\n", - " 3.3386531188982147\n", - " 7.377276636224848\n", - " 5.8249441461146\n", - " \n", - " \n", - " 4175\n", - " 308000674\n", - " util_size_variable_atwork\n", - " 6.577240859271166\n", - " 7.294423493874009\n", - " 5.752909090156044\n", - " 7.026094604325162\n", - " 8.012728626482545\n", - " 6.442966827027993\n", - " 7.224737382332969\n", - " 6.539973163879868\n", - " ...\n", - " 4.866333729879064\n", - " 5.1845549872093715\n", - " 5.945708525269778\n", - " 6.047381635266343\n", - " 6.06715626447492\n", - " 5.987948372605412\n", - " 5.730242629913322\n", - " 7.343549119396827\n", - " 3.6375335267623483\n", - " 5.304200029706192\n", + " 125550\n", + " 309112001\n", + " 1381\n", + " 1.00\n", + " 0.02\n", + " 0.00\n", + " 0.0\n", + " 0.0\n", + " 6.198092\n", + " False\n", + " 14.389409\n", + " 3.261637\n", " \n", " \n", "\n", - "

4176 rows × 192 columns

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125551 rows × 11 columns

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464 rows × 6 columns

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6036 rows × 6 columns

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" income_segment \n", - "0 1 \n", - "1 1 \n", - "2 1 \n", - "3 1 \n", - "4 1 \n", - ".. ... \n", - "459 4 \n", - "460 4 \n", - "461 4 \n", - "462 4 \n", - "463 1 \n", + " income_segment \n", + "0 1 \n", + "1 1 \n", + "2 1 \n", + "3 1 \n", + "4 1 \n", + "... ... \n", + "6031 1 \n", + "6032 1 \n", + "6033 1 \n", + "6034 1 \n", + "6035 1 \n", "\n", - "[464 rows x 6 columns]" + "[6036 rows x 6 columns]" ] }, "execution_count": 7, @@ -912,9 +866,9 @@ " 7\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 3\n", " 5.89564\n", " 2.875000\n", @@ -936,9 +890,9 @@ " 19\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.84871\n", " 5.195214\n", @@ -960,9 +914,9 @@ " 38\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.53231\n", " 80.470405\n", @@ -984,9 +938,9 @@ " 20\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 2\n", " 5.64330\n", " 7.947368\n", @@ -1008,9 +962,9 @@ " 86\n", " ...\n", " 0\n", - 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190 rows × 28 columns

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LabelDescriptionExpressionatwork
0util_distance_piecewise_linear_from_0_to_1_milesDistance, piecewise linear from 0 to 1 miles@skims['DIST'].clip(0,1)coef_distance_piecewise_linear_from_0_to_1_miles
1util_distance_piecewise_linear_from_1_to_2_milesDistance, piecewise linear from 1 to 2 miles@(skims['DIST']-1).clip(0,1)coef_distance_piecewise_linear_from_1_to_2_miles
2util_distance_piecewise_linear_from_2_to_5_milesDistance, piecewise linear from 2 to 5 miles@(skims['DIST']-2).clip(0,3)coef_distance_piecewise_linear_from_2_to_5_miles
3util_distance_piecewise_linear_from_5_to_15_milesDistance, piecewise linear from 5 to 15 miles@(skims['DIST']-5).clip(0,10)coef_distance_piecewise_linear_from_5_to_15_miles
4util_distance_piecewise_linear_for_15_plus_milesDistance, piecewise linear for 15+ miles@(skims['DIST']-15.0).clip(0)coef_distance_piecewise_linear_for_15_plus_miles
5util_no_attractions_atwork_size_variable_is_0No attractions, atwork size_term variable is 0size_term==0coef_no_attractions_atwork_size_variable_is_0
6util_mode_choice_logsumMode choice logsummode_choice_logsumcoef_mode_choice_logsum
7util_sample_of_alternatives_correction_factorSample of alternatives correction factor@np.minimum(np.log(df.pick_count/df.prob), 60)coef_sample_of_alternatives_correction_factor
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Iteration 006 [Optimization terminated successfully]

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x\n", " \n", " \n", " \n", @@ -1738,7 +1865,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1746,27 +1873,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -1777,38 +1904,37 @@ " \n", " \n", " \n", - "
atwork_HEREMPN-1.707324-1.371795
atwork_RETEMPN
coef_distance_piecewise_linear_for_15_plus_miles-0.204500-0.326384
coef_distance_piecewise_linear_from_0_to_1_miles-1.364154-0.840401
coef_distance_piecewise_linear_from_1_to_2_miles-0.739532-0.905173
coef_distance_piecewise_linear_from_2_to_5_miles-0.504526-0.577554
coef_distance_piecewise_linear_from_5_to_15_miles-0.073403-0.193532
coef_mode_choice_logsum0.5032710.403737
coef_no_attractions_atwork_size_variable_is_01.000000
tolerance8.076677745948512e-06
stepsarray([1., 1., 1., 1., 1., 1., 1., 1.])
message'Optimization terminated successfully.'
elapsed_time0:00:00.121814
method'BHHH'
n_cases464
iteration_number8
logloss5.021271650749392
" + "
tolerance8.315604351559683e-06stepsarray([1., 1., 1., 1., 1., 1.])message'Optimization terminated successfully'elapsed_time0:00:00.285360method'bhhh'n_cases6036iteration_number6
" ], "text/plain": [ - "┣ loglike: -2329.8700459477177\n", - "┣ x: atwork_HEREMPN -1.707324\n", + "┣ loglike: -12720.40641937967\n", + "┣ x: atwork_HEREMPN -1.371795\n", "┃ atwork_RETEMPN -0.298406\n", - "┃ coef_distance_piecewise_linear_for_15_plus_miles -0.204500\n", - "┃ coef_distance_piecewise_linear_from_0_to_1_miles -1.364154\n", - "┃ coef_distance_piecewise_linear_from_1_to_2_miles -0.739532\n", - "┃ coef_distance_piecewise_linear_from_2_to_5_miles -0.504526\n", - "┃ coef_distance_piecewise_linear_from_5_to_15_miles -0.073403\n", - "┃ coef_mode_choice_logsum 0.503271\n", + "┃ coef_distance_piecewise_linear_for_15_plus_miles -0.326384\n", + "┃ coef_distance_piecewise_linear_from_0_to_1_miles -0.840401\n", + "┃ coef_distance_piecewise_linear_from_1_to_2_miles -0.905173\n", + "┃ coef_distance_piecewise_linear_from_2_to_5_miles -0.577554\n", + "┃ coef_distance_piecewise_linear_from_5_to_15_miles -0.193532\n", + "┃ coef_mode_choice_logsum 0.403737\n", "┃ coef_no_attractions_atwork_size_variable_is_0 -999.000000\n", "┃ coef_sample_of_alternatives_correction_factor 1.000000\n", "┃ dtype: float64\n", - "┣ tolerance: 8.076677745948512e-06\n", - "┣ steps: array([1., 1., 1., 1., 1., 1., 1., 1.])\n", - "┣ message: 'Optimization terminated successfully.'\n", - "┣ elapsed_time: datetime.timedelta(microseconds=121814)\n", - "┣ method: 'BHHH'\n", - "┣ n_cases: 464\n", - "┣ iteration_number: 8\n", - "┣ logloss: 5.021271650749392" + "┣ tolerance: 8.315604351559683e-06\n", + "┣ steps: array([1., 1., 1., 1., 1., 1.])\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ elapsed_time: datetime.timedelta(microseconds=285360)\n", + "┣ method: 'bhhh'\n", + "┣ n_cases: 6036\n", + "┣ iteration_number: 6" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate(method='BHHH', options={'maxiter':1000})" + "model.estimate(method='bhhh', options={'maxiter':1000})" ] }, { @@ -1820,119 +1946,145 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Value Std Err t Stat Signif Null Value Constrained
atwork_HEREMPN-1.71 0.203-8.39*** 0.00
atwork_RETEMPN-0.298 NA NA 0.00fixed value
coef_distance_piecewise_linear_for_15_plus_miles-0.205 1.79e-14-BIG*** 0.00
coef_distance_piecewise_linear_from_0_to_1_miles-1.36 0.402-3.39*** 0.00
coef_distance_piecewise_linear_from_1_to_2_miles-0.740 0.222-3.33*** 0.00
coef_distance_piecewise_linear_from_2_to_5_miles-0.505 0.0702-7.19*** 0.00
coef_distance_piecewise_linear_from_5_to_15_miles-0.0734 0.0897-0.82 0.00
coef_mode_choice_logsum 0.503 0.0702 7.17*** 0.00
coef_no_attractions_atwork_size_variable_is_0-999. NA NA 0.00fixed value
coef_sample_of_alternatives_correction_factor 1.00 NA NA 0.00fixed value
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
atwork_HEREMPN-1.37 0.0710-19.32*** 0.00
atwork_RETEMPN-0.298 0.00 NA 0.00fixed value
coef_distance_piecewise_linear_for_15_plus_miles-0.326 0.0607-5.38*** 0.00
coef_distance_piecewise_linear_from_0_to_1_miles-0.840 0.0954-8.81*** 0.00
coef_distance_piecewise_linear_from_1_to_2_miles-0.905 0.0554-16.34*** 0.00
coef_distance_piecewise_linear_from_2_to_5_miles-0.578 0.0278-20.77*** 0.00
coef_distance_piecewise_linear_from_5_to_15_miles-0.194 0.0173-11.20*** 0.00
coef_mode_choice_logsum 0.404 0.0244 16.54*** 0.00
coef_no_attractions_atwork_size_variable_is_0-999. 0.00 NA 0.00fixed value
coef_sample_of_alternatives_correction_factor 1.00 0.00 NA 0.00fixed value
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1953,7 +2105,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -1970,7 +2122,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -1989,7 +2141,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -2242,9 +2394,9 @@ " atwork\n", " atwork\n", " 0.000000\n", - " 0.803595\n", + " 0.745241\n", " 0.000000\n", - " 0.196405\n", + " 0.254759\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -2400,7 +2552,7 @@ "10 othmaint non_mandatory 0.000000 0.482000 0.000000 0.518000 \n", "11 social non_mandatory 0.000000 0.522000 0.000000 0.478000 \n", "12 othdiscr non_mandatory 0.252252 0.212212 0.000000 0.272272 \n", - "13 atwork atwork 0.000000 0.803595 0.000000 0.196405 \n", + "13 atwork atwork 0.000000 0.745241 0.000000 0.254759 \n", "14 work trip 0.000000 0.166667 0.166667 0.166667 \n", "15 escort trip 0.001000 0.225000 0.000000 0.144000 \n", "16 shopping trip 0.001000 0.999000 0.000000 0.000000 \n", @@ -2435,7 +2587,7 @@ "21 0.000000 0.000000 0.000000 0.000 0.000000 0.591409 0.407592 " ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -2456,7 +2608,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [], "source": [ @@ -2480,7 +2632,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -2513,31 +2665,31 @@ " \n", " 0\n", " coef_distance_piecewise_linear_from_0_to_1_miles\n", - " -1.364154\n", + " -0.840401\n", " F\n", " \n", " \n", " 1\n", " coef_distance_piecewise_linear_from_1_to_2_miles\n", - " -0.739532\n", + " -0.905173\n", " F\n", " \n", " \n", " 2\n", " coef_distance_piecewise_linear_from_2_to_5_miles\n", - " -0.504526\n", + " -0.577554\n", " F\n", " \n", " \n", " 3\n", " coef_distance_piecewise_linear_from_5_to_15_miles\n", - " -0.073403\n", + " -0.193532\n", " F\n", " \n", " \n", " 4\n", " coef_distance_piecewise_linear_for_15_plus_miles\n", - " -0.204500\n", + " -0.326384\n", " F\n", " \n", " \n", @@ -2555,7 +2707,7 @@ " \n", " 7\n", " coef_mode_choice_logsum\n", - " 0.503271\n", + " 0.403737\n", " F\n", " \n", " \n", @@ -2570,18 +2722,18 @@ ], "text/plain": [ " coefficient_name value constrain\n", - "0 coef_distance_piecewise_linear_from_0_to_1_miles -1.364154 F\n", - "1 coef_distance_piecewise_linear_from_1_to_2_miles -0.739532 F\n", - "2 coef_distance_piecewise_linear_from_2_to_5_miles -0.504526 F\n", - "3 coef_distance_piecewise_linear_from_5_to_15_miles -0.073403 F\n", - "4 coef_distance_piecewise_linear_for_15_plus_miles -0.204500 F\n", + "0 coef_distance_piecewise_linear_from_0_to_1_miles -0.840401 F\n", + "1 coef_distance_piecewise_linear_from_1_to_2_miles -0.905173 F\n", + "2 coef_distance_piecewise_linear_from_2_to_5_miles -0.577554 F\n", + "3 coef_distance_piecewise_linear_from_5_to_15_miles -0.193532 F\n", + "4 coef_distance_piecewise_linear_for_15_plus_miles -0.326384 F\n", "5 coef_size_variable_atwork 1.000000 T\n", "6 coef_no_attractions_atwork_size_variable_is_0 -999.000000 T\n", - "7 coef_mode_choice_logsum 0.503271 F\n", + "7 coef_mode_choice_logsum 0.403737 F\n", "8 coef_sample_of_alternatives_correction_factor 1.000000 T" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -2592,7 +2744,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -2860,9 +3012,9 @@ " atwork\n", " atwork\n", " 0.000000\n", - " 0.803595\n", + " 0.745241\n", " 0.000000\n", - " 0.196405\n", + " 0.254759\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -3026,7 +3178,7 @@ "10 10 othmaint non_mandatory 0.000000 0.482000 0.000000 \n", "11 11 social non_mandatory 0.000000 0.522000 0.000000 \n", "12 12 othdiscr non_mandatory 0.252252 0.212212 0.000000 \n", - "13 13 atwork atwork 0.000000 0.803595 0.000000 \n", + "13 13 atwork atwork 0.000000 0.745241 0.000000 \n", "14 14 work trip 0.000000 0.166667 0.166667 \n", "15 15 escort trip 0.001000 0.225000 0.000000 \n", "16 16 shopping trip 0.001000 0.999000 0.000000 \n", @@ -3050,7 +3202,7 @@ "10 0.518000 0.000000 0.000000 0.000000 0.000 0.000000 0.000000 \n", "11 0.478000 0.000000 0.000000 0.000000 0.000 0.000000 0.000000 \n", "12 0.272272 0.165165 0.000000 0.000000 0.000 0.098098 0.000000 \n", - "13 0.196405 0.000000 0.000000 0.000000 0.000 0.000000 0.000000 \n", + "13 0.254759 0.000000 0.000000 0.000000 0.000 0.000000 0.000000 \n", "14 0.166667 0.166667 0.166667 0.166667 0.000 0.000000 0.000000 \n", "15 0.144000 0.000000 0.000000 0.000000 0.464 0.166000 0.000000 \n", "16 0.000000 0.000000 0.000000 0.000000 0.000 0.000000 0.000000 \n", @@ -3085,7 +3237,7 @@ "21 0.407592 " ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -3102,7 +3254,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -3116,7 +3268,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/20_atwork_subtour_scheduling.ipynb b/activitysim/examples/example_estimation/notebooks/20_atwork_subtour_scheduling.ipynb index ae20d3694..1de74014a 100644 --- a/activitysim/examples/example_estimation/notebooks/20_atwork_subtour_scheduling.ipynb +++ b/activitysim/examples/example_estimation/notebooks/20_atwork_subtour_scheduling.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -70,11 +117,13 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/activitysim/activitysim/estimation/larch/__init__.py:18: DtypeWarning: Columns (15,16,17,18,19,20,33,34,35,36,37,38,50,51,52,53,54,55,66,67,68,69,70,71,81,82,83,84,85,86,95,96,97,98,99,100,108,109,110,111,112,113,120,121,122,123,124,125,131,132,133,134,135,136,141,142,143,144,145,146,150,151,152,153,154,155,158,159,160,161,162,163,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191) have mixed types.Specify dtype option on import or set low_memory=False.\n", - " return m(*args, **kwargs)\n" + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_scheduling/tour_scheduling_atwork_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_scheduling/atwork_subtour_scheduling_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_scheduling/atwork_subtour_scheduling_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/atwork_subtour_scheduling/atwork_subtour_scheduling_choosers_combined.parquet\n" ] } ], @@ -82,7 +131,12 @@ "modelname = \"atwork_subtour_scheduling\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -1095,14 +1149,14 @@ " tour_count\n", " tour_category\n", " ...\n", - " COLLFTE\n", - " COLLPTE\n", - " TOPOLOGY\n", - " TERMINAL\n", - " household_density\n", - " employment_density\n", - " density_index\n", - " is_cbd\n", + " auOpRetail\n", + " auOpTotal\n", + " trPkRetail\n", + " trPkTotal\n", + " trOpRetail\n", + " trOpTotal\n", + " nmRetail\n", + " nmTotal\n", " start_previous\n", " end_previous\n", " \n", @@ -1110,34 +1164,34 @@ " \n", " \n", " 0\n", - " 2998927\n", - " 114\n", - " 114\n", - " 73144\n", - " maint\n", + " 2966559\n", + " 86\n", + " 113\n", + " 72355\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.48345\n", - " 26.073171\n", - " 8.048780\n", - " 6.150212\n", - " False\n", + " 9.915345\n", + " 12.430580\n", + " 6.550726\n", + " 9.119016\n", + " 6.446184\n", + " 9.035333\n", + " 5.256966\n", + " 6.831275\n", " 5\n", " 5\n", " \n", " \n", " 1\n", - " 3060326\n", - " 85\n", - " 85\n", - " 74642\n", + " 3046632\n", + " 145\n", + " 90\n", + " 74308\n", " eat\n", " 1\n", " 1\n", @@ -1145,23 +1199,23 @@ " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.09035\n", - " 20.666667\n", - " 4.107527\n", - " 3.426505\n", - " False\n", + " 10.259606\n", + " 12.727344\n", + " 5.452325\n", + " 7.771767\n", + " 5.298242\n", + " 7.602426\n", + " 6.443514\n", + " 7.965548\n", " 5\n", " 5\n", " \n", " \n", " 2\n", - " 4422879\n", - " 124\n", + " 3048108\n", + " 85\n", " 124\n", - " 107875\n", + " 74344\n", " eat\n", " 1\n", " 1\n", @@ -1169,47 +1223,47 @@ " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 5.35435\n", - " 139.333333\n", - " 418.518519\n", - " 104.532377\n", - " False\n", + " 10.259606\n", + " 12.727344\n", + " 5.452325\n", + " 7.771767\n", + " 5.298242\n", + " 7.602426\n", + " 6.443514\n", + " 7.965548\n", " 5\n", " 5\n", " \n", " \n", " 3\n", - " 4440282\n", - " 154\n", - " 154\n", - " 108299\n", - " maint\n", + " 3177463\n", + " 99\n", + " 55\n", + " 77499\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 2035.58118\n", - " 20.60887\n", - " 2\n", - " 5.22542\n", - " 97.634722\n", - " 550.205552\n", - " 82.920387\n", - " False\n", + " 7.714071\n", + " 10.313852\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 5\n", " 5\n", " \n", " \n", " 4\n", - " 4496780\n", - " 89\n", - " 89\n", - " 109677\n", + " 3191832\n", + " 99\n", + " 145\n", + " 77849\n", " maint\n", " 1\n", " 1\n", @@ -1217,14 +1271,14 @@ " 1\n", " atwork\n", " ...\n", - " 690.54974\n", - " 0.00000\n", - " 3\n", - " 4.73802\n", - " 117.769796\n", - " 246.205869\n", - " 79.663609\n", - " False\n", + " 9.763398\n", + " 12.307147\n", + " 1.228620\n", + " 3.278544\n", + " 1.239060\n", + " 3.280429\n", + " 4.284159\n", + " 6.249753\n", " 5\n", " 5\n", " \n", @@ -1253,184 +1307,184 @@ " ...\n", " \n", " \n", - " 459\n", - " 302923726\n", - " 145\n", - " 145\n", - " 7388383\n", - " maint\n", + " 6031\n", + " 308156004\n", + " 99\n", + " 124\n", + " 7516000\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.37546\n", - " 19.153846\n", - " 5.907692\n", - " 4.515087\n", - " False\n", + " 9.566058\n", + " 12.139587\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 3.086628\n", + " 5.647842\n", " 5\n", " 5\n", " \n", " \n", - " 460\n", - " 302942567\n", - " 85\n", - " 85\n", - " 7388843\n", - " eat\n", + " 6032\n", + " 308227650\n", + " 155\n", + " 88\n", + " 7517747\n", + " maint\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.81406\n", - " 16.068376\n", - " 21.136752\n", - " 9.128669\n", - " False\n", + " 10.260330\n", + " 12.748307\n", + " 4.719610\n", + " 7.890189\n", + " 4.493279\n", + " 7.643024\n", + " 5.529241\n", + " 8.876000\n", " 5\n", " 5\n", " \n", " \n", - " 461\n", - " 302942627\n", - " 135\n", - " 135\n", - " 7388844\n", - " maint\n", + " 6033\n", + " 308260103\n", + " 102\n", + " 113\n", + " 7518539\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 2.81406\n", - " 16.068376\n", - " 21.136752\n", - " 9.128669\n", - " False\n", + " 10.294354\n", + " 12.880095\n", + " 4.408064\n", + " 7.614481\n", + " 3.838266\n", + " 7.011926\n", + " 5.169891\n", + " 8.595128\n", " 5\n", " 5\n", " \n", " \n", - " 462\n", - " 305120465\n", - " 112\n", - " 112\n", - " 7441962\n", - " maint\n", + " 6034\n", + " 309080718\n", + " 55\n", + " 113\n", + " 7538554\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 1\n", - " 8.54946\n", - " 55.606634\n", - " 142.984438\n", - " 40.036459\n", - " False\n", + " 10.345456\n", + " 12.953264\n", + " 7.103743\n", + " 9.892019\n", + " 6.979741\n", + " 9.773601\n", + " 6.557982\n", + " 8.518901\n", " 5\n", " 5\n", " \n", " \n", - " 463\n", - " 308000674\n", - " 124\n", - " 124\n", - " 7512211\n", - " maint\n", + " 6035\n", + " 309112001\n", + " 125\n", + " 113\n", + " 7539317\n", + " eat\n", " 1\n", " 1\n", " 1\n", " 1\n", " atwork\n", " ...\n", - " 0.00000\n", - " 0.00000\n", - " 2\n", - " 4.64648\n", - " 196.395950\n", - " 178.779465\n", - " 93.587057\n", - " False\n", + " 6.494711\n", + " 8.713819\n", + " 0.019735\n", + " 0.222696\n", + " 0.016077\n", + " 0.153189\n", + " 0.000000\n", + " 0.000000\n", " 5\n", " 5\n", " \n", " \n", "\n", - "

464 rows × 162 columns

\n", + "

6036 rows × 162 columns

\n", "" ], "text/plain": [ - " tour_id model_choice override_choice person_id tour_type \\\n", - "0 2998927 114 114 73144 maint \n", - "1 3060326 85 85 74642 eat \n", - "2 4422879 124 124 107875 eat \n", - "3 4440282 154 154 108299 maint \n", - "4 4496780 89 89 109677 maint \n", - ".. ... ... ... ... ... \n", - "459 302923726 145 145 7388383 maint \n", - "460 302942567 85 85 7388843 eat \n", - "461 302942627 135 135 7388844 maint \n", - "462 305120465 112 112 7441962 maint \n", - "463 308000674 124 124 7512211 maint \n", + " tour_id model_choice override_choice person_id tour_type \\\n", + "0 2966559 86 113 72355 eat \n", + "1 3046632 145 90 74308 eat \n", + "2 3048108 85 124 74344 eat \n", + "3 3177463 99 55 77499 eat \n", + "4 3191832 99 145 77849 maint \n", + "... ... ... ... ... ... \n", + "6031 308156004 99 124 7516000 eat \n", + "6032 308227650 155 88 7517747 maint \n", + "6033 308260103 102 113 7518539 eat \n", + "6034 309080718 55 113 7538554 eat \n", + "6035 309112001 125 113 7539317 eat \n", "\n", - " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", - "0 1 1 1 1 atwork ... \n", - "1 1 1 1 1 atwork ... \n", - "2 1 1 1 1 atwork ... \n", - "3 1 1 1 1 atwork ... \n", - "4 1 1 1 1 atwork ... \n", - ".. ... ... ... ... ... ... \n", - "459 1 1 1 1 atwork ... \n", - "460 1 1 1 1 atwork ... \n", - "461 1 1 1 1 atwork ... \n", - "462 1 1 1 1 atwork ... \n", - "463 1 1 1 1 atwork ... \n", + " tour_type_count tour_type_num tour_num tour_count tour_category ... \\\n", + "0 1 1 1 1 atwork ... \n", + "1 1 1 1 1 atwork ... \n", + "2 1 1 1 1 atwork ... \n", + "3 1 1 1 1 atwork ... \n", + "4 1 1 1 1 atwork ... \n", + "... ... ... ... ... ... ... \n", + "6031 1 1 1 1 atwork ... \n", + "6032 1 1 1 1 atwork ... \n", + "6033 1 1 1 1 atwork ... \n", + "6034 1 1 1 1 atwork ... \n", + "6035 1 1 1 1 atwork ... \n", "\n", - " COLLFTE COLLPTE TOPOLOGY TERMINAL household_density \\\n", - "0 0.00000 0.00000 1 2.48345 26.073171 \n", - "1 0.00000 0.00000 1 2.09035 20.666667 \n", - "2 0.00000 0.00000 1 5.35435 139.333333 \n", - "3 2035.58118 20.60887 2 5.22542 97.634722 \n", - "4 690.54974 0.00000 3 4.73802 117.769796 \n", - ".. ... ... ... ... ... \n", - "459 0.00000 0.00000 1 2.37546 19.153846 \n", - "460 0.00000 0.00000 1 2.81406 16.068376 \n", - "461 0.00000 0.00000 1 2.81406 16.068376 \n", - "462 0.00000 0.00000 1 8.54946 55.606634 \n", - "463 0.00000 0.00000 2 4.64648 196.395950 \n", + " auOpRetail auOpTotal trPkRetail trPkTotal trOpRetail trOpTotal \\\n", + "0 9.915345 12.430580 6.550726 9.119016 6.446184 9.035333 \n", + "1 10.259606 12.727344 5.452325 7.771767 5.298242 7.602426 \n", + "2 10.259606 12.727344 5.452325 7.771767 5.298242 7.602426 \n", + "3 7.714071 10.313852 0.000000 0.000000 0.000000 0.000000 \n", + "4 9.763398 12.307147 1.228620 3.278544 1.239060 3.280429 \n", + "... ... ... ... ... ... ... \n", + "6031 9.566058 12.139587 0.000000 0.000000 0.000000 0.000000 \n", + "6032 10.260330 12.748307 4.719610 7.890189 4.493279 7.643024 \n", + "6033 10.294354 12.880095 4.408064 7.614481 3.838266 7.011926 \n", + "6034 10.345456 12.953264 7.103743 9.892019 6.979741 9.773601 \n", + "6035 6.494711 8.713819 0.019735 0.222696 0.016077 0.153189 \n", "\n", - " employment_density density_index is_cbd start_previous end_previous \n", - "0 8.048780 6.150212 False 5 5 \n", - "1 4.107527 3.426505 False 5 5 \n", - "2 418.518519 104.532377 False 5 5 \n", - "3 550.205552 82.920387 False 5 5 \n", - "4 246.205869 79.663609 False 5 5 \n", - ".. ... ... ... ... ... \n", - "459 5.907692 4.515087 False 5 5 \n", - "460 21.136752 9.128669 False 5 5 \n", - "461 21.136752 9.128669 False 5 5 \n", - "462 142.984438 40.036459 False 5 5 \n", - "463 178.779465 93.587057 False 5 5 \n", + " nmRetail nmTotal start_previous end_previous \n", + "0 5.256966 6.831275 5 5 \n", + "1 6.443514 7.965548 5 5 \n", + "2 6.443514 7.965548 5 5 \n", + "3 0.000000 0.000000 5 5 \n", + "4 4.284159 6.249753 5 5 \n", + "... ... ... ... ... \n", + "6031 3.086628 5.647842 5 5 \n", + "6032 5.529241 8.876000 5 5 \n", + "6033 5.169891 8.595128 5 5 \n", + "6034 6.557982 8.518901 5 5 \n", + "6035 0.000000 0.000000 5 5 \n", "\n", - "[464 rows x 162 columns]" + "[6036 rows x 162 columns]" ] }, "execution_count": 6, @@ -1476,148 +1530,148 @@ " \n", " \n", " tour_id\n", - " variable\n", - " 0\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", + " start\n", + " end\n", + " duration\n", + " tdd\n", + " mode_choice_logsum\n", + " util_early_start_at_5\n", + " util_am_peak_start_at_6\n", + " util_am_peak_start_at_7\n", + " util_am_peak_start_at_8\n", " ...\n", - " 180\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", + " util_duration_shift_for_number_of_mandatory_tours\n", + " util_start_shift_for_number_of_joint_tours\n", + " util_duration_shift_for_number_of_joint_tours\n", + " util_start_shift_for_number_of_individual_nonmandatory_tours\n", + " util_duration_shift_for_number_of_individual_nonmandatory_tours\n", + " util_dummy_for_business_related_purpose_and_duration_from_0_to_1\n", + " util_dummy_for_eating_out_purpose_and_duration_of_1_hour\n", + " util_dummy_for_eating_out_purpose_and_departure_at_11\n", + " util_dummy_for_eating_out_purpose_and_departure_at_12\n", + " util_dummy_for_eating_out_purpose_and_departure_at_13\n", " \n", " \n", " \n", " \n", " 0\n", - " 2998927\n", - " duration\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2966559\n", + " 10\n", + " 10\n", " 0\n", + " 85\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 1\n", - " 2998927\n", - " end\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2966559\n", + " 10\n", + " 11\n", + " 1\n", + " 86\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", + " 1\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 2\n", - " 2998927\n", - " mode_choice_logsum\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2966559\n", + " 10\n", + " 12\n", + " 2\n", + " 87\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", + " 2\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 3\n", - " 2998927\n", - " start\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2966559\n", + " 10\n", + " 13\n", + " 3\n", + " 88\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", + " 3\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " 4\n", - " 2998927\n", - " util_am_peak_end\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 2966559\n", + " 10\n", + " 14\n", + " 4\n", + " 89\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", + " 4\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", " ...\n", @@ -1644,197 +1698,301 @@ " ...\n", " \n", " \n", - " 24587\n", - " 308000674\n", - " util_start_shift_for_number_of_individual_nonm...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 457514\n", + " 309112001\n", + " 21\n", + " 22\n", + " 1\n", + " 185\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", + " 1\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 24588\n", - " 308000674\n", - " util_start_shift_for_number_of_joint_tours\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 457515\n", + " 309112001\n", + " 21\n", + " 23\n", + " 2\n", + " 186\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " ...\n", + " 2\n", " 0\n", " 0\n", " 0\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 24589\n", - " 308000674\n", - " util_start_shift_for_number_of_mandatory_tours\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " 5\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", + " 457516\n", + " 309112001\n", + " 22\n", + " 22\n", " 0\n", + " 187\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " ...\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 24590\n", - " 308000674\n", - " util_start_shift_for_outbound_auto_travel_time...\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " 60.10000228881836\n", - " ...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 457517\n", + " 309112001\n", + " 22\n", + " 23\n", + " 1\n", + " 188\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " ...\n", + " 1\n", " 0\n", " 0\n", " 0\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", - " 24591\n", - " 308000674\n", - " util_start_shift_for_subsequent_sub_tour_of_sa...\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " 457518\n", + " 309112001\n", + " 23\n", + " 23\n", " 0\n", + " 189\n", " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", " ...\n", " 0\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", - " 0\n", + " False\n", + " False\n", + " False\n", + " False\n", + " False\n", " \n", " \n", "\n", - "

24592 rows × 192 columns

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457519 rows × 55 columns

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"[24592 rows x 192 columns]" + " util_dummy_for_eating_out_purpose_and_departure_at_11 \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "457514 False \n", + "457515 False \n", + "457516 False \n", + "457517 False \n", + "457518 False \n", + "\n", + " util_dummy_for_eating_out_purpose_and_departure_at_12 \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "457514 False \n", + "457515 False \n", + "457516 False \n", + "457517 False \n", + "457518 False \n", + "\n", + " util_dummy_for_eating_out_purpose_and_departure_at_13 \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "457514 False \n", + "457515 False \n", + "457516 False \n", + "457517 False \n", + "457518 False \n", + "\n", + "[457519 rows x 55 columns]" ] }, "execution_count": 7, @@ -1864,9 +2022,44 @@ "name": "stderr", "output_type": "stream", "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" + "problem: nan_utility has (190 issues)\n", + "problem: chosen_but_not_available has (12 issues)\n" ] }, + { + "data": { + "text/plain": [ + "(,\n", + " ┣ chosen_but_not_available: altid n example rows\n", + " ┃ 0 88 1 5445\n", + " ┃ 1 100 2 1344, 5240\n", + " ┃ 2 102 1 4696\n", + " ┃ 3 103 1 3099\n", + " ┃ 4 107 1 2364\n", + " ┃ 5 113 2 3454, 4647\n", + " ┃ 6 114 4 1537, 2506, 2800\n", + " ┃ 7 115 1 1791\n", + " ┃ 8 116 1 4089\n", + " ┃ 9 120 1 2595\n", + " ┃ 10 125 3 797, 1766, 2716\n", + " ┃ 11 138 1 2003)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.doctor(repair_nan_utility=True)\n", + "model.doctor(repair_ch_av=\"-\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ { "data": { "text/html": [ @@ -1882,7 +2075,7 @@ { "data": { "text/html": [ - "

Best LL = -1401.9305368056416

" + "

Best LL = -17373.947698365682

" ], "text/plain": [ "" @@ -1913,778 +2106,732 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " coef_am_peak_end\n", - " -1.373169\n", + " -2.543876\n", + " -2.543876\n", " -2.928312\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.373169\n", " \n", " \n", " coef_am_peak_start_at_6\n", - " -20.592814\n", + " -5.790935\n", + " -5.790935\n", " -6.156718\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -20.592814\n", " \n", " \n", " coef_am_peak_start_at_7\n", - " -2.826984\n", + " -4.238642\n", + " -4.238642\n", " -4.061708\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.826984\n", " \n", " \n", " coef_am_peak_start_at_8\n", - " -1.196528\n", + " -2.371798\n", + " -2.371798\n", " -2.330535\n", - 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" -2.204068\n", " \n", " \n", " coef_evening_end_at_19_20_21\n", - " -4.521037\n", + " -2.460690\n", + " -2.460690\n", " -2.319982\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -4.521037\n", " \n", " \n", " coef_evening_start_at_19_20_21\n", - " -0.325741\n", + " -0.786571\n", + " -0.786571\n", " -1.015090\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.325741\n", " \n", " \n", " coef_late_end_at_22_23\n", - " -11.516565\n", + " -2.391664\n", + " -2.391664\n", " -2.319982\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -11.516565\n", " \n", " \n", " coef_late_start_at_22_23\n", - " -5.142925\n", + " -0.890587\n", + " -0.890587\n", " -0.737570\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -5.142925\n", " \n", " \n", " coef_midday_end_at_10_11_12\n", - " -1.305196\n", + " -2.145575\n", + " -2.145575\n", " -2.297264\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.305196\n", " \n", " \n", " coef_midday_end_at_13_14\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_midday_start_at_10_11_12\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.0\n", + " 0.0\n", " 0.0\n", - " -25.0\n", - " 25.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", " coef_midday_start_at_13_14_15\n", - " -1.051562\n", + " -0.665045\n", + " -0.665045\n", " -0.775022\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.051562\n", " \n", " \n", " coef_pm_peak_end_at_15\n", - " -1.432981\n", + " -0.586475\n", + " -0.586475\n", " -0.578344\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -1.432981\n", " \n", " \n", " coef_pm_peak_end_at_16\n", - " -2.055109\n", + " -1.337297\n", + " -1.337297\n", " -1.094087\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.055109\n", " \n", " \n", " coef_pm_peak_end_at_17\n", - " -2.404252\n", + " -1.432487\n", + " -1.432487\n", " -1.165847\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -2.404252\n", " \n", " \n", " coef_pm_peak_end_at_18\n", - " -3.500372\n", + " -1.702240\n", + " -1.702240\n", " -1.496131\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -3.500372\n", " \n", " \n", " coef_pm_peak_start_at_16_17_18\n", - " -0.798588\n", + " -0.000431\n", + " -0.000431\n", " -0.227528\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.798588\n", " \n", " \n", " coef_start_shift_for_business_related_\n", - " -0.083357\n", + " -0.071618\n", + " -0.071618\n", " -0.111300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.083357\n", " \n", " \n", " coef_start_shift_for_first_sub_tour_of_same_work_tour\n", - " -0.168324\n", + " -0.458549\n", + " -0.458549\n", " -0.543300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.168324\n", " \n", " \n", " coef_start_shift_for_inbound_auto_travel_time_off_peak\n", - " -0.099019\n", + " -0.011025\n", + " -0.011025\n", " 0.000650\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.099019\n", " \n", " \n", " coef_start_shift_for_number_of_individual_nonmandatory_tours\n", - " 0.026777\n", + " -0.019137\n", + " -0.019137\n", " -0.012800\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.026777\n", " \n", " \n", " coef_start_shift_for_number_of_joint_tours\n", - " -0.019722\n", + " 0.025502\n", + " 0.025502\n", " -0.020600\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.019722\n", " \n", " \n", " coef_start_shift_for_number_of_mandatory_tours\n", - " 0.059018\n", + " -0.067479\n", + " -0.067479\n", " -0.019300\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.059018\n", " \n", " \n", " coef_start_shift_for_outbound_auto_travel_time_off_peak\n", - " 0.100349\n", + " 0.010616\n", + " 0.010616\n", " 0.000650\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " 0.100349\n", " \n", " \n", " coef_start_shift_for_subsequent_sub_tour_of_same_work_tour\n", - " -0.360206\n", + " -0.117673\n", + " -0.117673\n", " -0.184400\n", - " 0.0\n", " -25.0\n", " 25.0\n", + " 0.0\n", " 0\n", - " \n", - " -0.360206\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue \\\n", - "coef_am_peak_end -1.373169 -2.928312 \n", - "coef_am_peak_start_at_6 -20.592814 -6.156718 \n", - "coef_am_peak_start_at_7 -2.826984 -4.061708 \n", - "coef_am_peak_start_at_8 -1.196528 -2.330535 \n", - "coef_am_peak_start_at_9 -1.619897 -1.881593 \n", - "coef_dummy_for_business_related_purpose_and_dur... -0.663129 -1.543000 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 1.151827 1.511000 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 2.625436 2.721000 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 2.360981 2.122000 \n", - "coef_dummy_for_eating_out_purpose_and_duration_... 0.310405 0.399900 \n", - "coef_duration_of_0_hours 9.959985 -0.906682 \n", - "coef_duration_of_11_to_13_hours -0.374055 0.300000 \n", - "coef_duration_of_14_to_18_hours 0.000000 0.000000 \n", - "coef_duration_of_1_hour 0.000000 0.000000 \n", - "coef_duration_of_2_to_3_hours 9.181283 -1.362176 \n", - "coef_duration_of_4_to_5_hours -0.483141 -0.819618 \n", - "coef_duration_of_6_to_7_hours 10.535613 1.088111 \n", - "coef_duration_of_8_to_10_hours 10.402183 1.734039 \n", - "coef_duration_shift_for_business_related_ 0.600044 0.264600 \n", - "coef_duration_shift_for_first_sub_tour_of_same_... 0.319885 -0.399200 \n", - "coef_duration_shift_for_inbound_auto_travel_tim... -0.118575 0.009810 \n", - "coef_duration_shift_for_number_of_individual_no... 0.009894 -0.042200 \n", - "coef_duration_shift_for_number_of_joint_tours -0.577681 -0.249700 \n", - "coef_duration_shift_for_number_of_mandatory_tours -1.058788 -0.770200 \n", - "coef_duration_shift_for_outbound_auto_travel_ti... 0.145324 0.009810 \n", - "coef_duration_shift_for_subsequent_sub_tour_of_... -10.333603 -0.184400 \n", - "coef_early_end_at_5_6 -25.000000 -2.928312 \n", - "coef_early_start_at_5 -2.204068 -7.765548 \n", - "coef_evening_end_at_19_20_21 -4.521037 -2.319982 \n", - "coef_evening_start_at_19_20_21 -0.325741 -1.015090 \n", - "coef_late_end_at_22_23 -11.516565 -2.319982 \n", - "coef_late_start_at_22_23 -5.142925 -0.737570 \n", - "coef_midday_end_at_10_11_12 -1.305196 -2.297264 \n", - "coef_midday_end_at_13_14 0.000000 0.000000 \n", - "coef_midday_start_at_10_11_12 0.000000 0.000000 \n", - "coef_midday_start_at_13_14_15 -1.051562 -0.775022 \n", - "coef_pm_peak_end_at_15 -1.432981 -0.578344 \n", - "coef_pm_peak_end_at_16 -2.055109 -1.094087 \n", - "coef_pm_peak_end_at_17 -2.404252 -1.165847 \n", - "coef_pm_peak_end_at_18 -3.500372 -1.496131 \n", - "coef_pm_peak_start_at_16_17_18 -0.798588 -0.227528 \n", - "coef_start_shift_for_business_related_ -0.083357 -0.111300 \n", - "coef_start_shift_for_first_sub_tour_of_same_wor... -0.168324 -0.543300 \n", - "coef_start_shift_for_inbound_auto_travel_time_o... -0.099019 0.000650 \n", - "coef_start_shift_for_number_of_individual_nonma... 0.026777 -0.012800 \n", - "coef_start_shift_for_number_of_joint_tours -0.019722 -0.020600 \n", - "coef_start_shift_for_number_of_mandatory_tours 0.059018 -0.019300 \n", - "coef_start_shift_for_outbound_auto_travel_time_... 0.100349 0.000650 \n", - "coef_start_shift_for_subsequent_sub_tour_of_sam... -0.360206 -0.184400 \n", + " value best \\\n", + "param_name \n", + "coef_am_peak_end -2.543876 -2.543876 \n", + "coef_am_peak_start_at_6 -5.790935 -5.790935 \n", + "coef_am_peak_start_at_7 -4.238642 -4.238642 \n", + "coef_am_peak_start_at_8 -2.371798 -2.371798 \n", + "coef_am_peak_start_at_9 -2.106247 -2.106247 \n", + "coef_dummy_for_business_related_purpose_and_dur... -1.656086 -1.656086 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 1.371453 1.371453 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 2.454861 2.454861 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 1.832150 1.832150 \n", + "coef_dummy_for_eating_out_purpose_and_duration_... 0.534786 0.534786 \n", + "coef_duration_of_0_hours -1.056506 -1.056506 \n", + "coef_duration_of_11_to_13_hours 0.292100 0.292100 \n", + "coef_duration_of_14_to_18_hours 0.000000 0.000000 \n", + "coef_duration_of_1_hour 0.000000 0.000000 \n", + "coef_duration_of_2_to_3_hours -1.478463 -1.478463 \n", + "coef_duration_of_4_to_5_hours -1.032651 -1.032651 \n", + "coef_duration_of_6_to_7_hours 1.074781 1.074781 \n", + "coef_duration_of_8_to_10_hours 1.476278 1.476278 \n", + "coef_duration_shift_for_business_related_ 0.237322 0.237322 \n", + "coef_duration_shift_for_first_sub_tour_of_same_... -0.199899 -0.199899 \n", + "coef_duration_shift_for_inbound_auto_travel_tim... 0.022979 0.022979 \n", + "coef_duration_shift_for_number_of_individual_no... -0.075913 -0.075913 \n", + "coef_duration_shift_for_number_of_joint_tours -0.234618 -0.234618 \n", + "coef_duration_shift_for_number_of_mandatory_tours -0.909117 -0.909117 \n", + "coef_duration_shift_for_outbound_auto_travel_ti... -0.002863 -0.002863 \n", + "coef_duration_shift_for_subsequent_sub_tour_of_... -0.371148 -0.371148 \n", + "coef_early_end_at_5_6 -2.693000 -2.693000 \n", + "coef_early_start_at_5 -7.645209 -7.645209 \n", + "coef_evening_end_at_19_20_21 -2.460690 -2.460690 \n", + "coef_evening_start_at_19_20_21 -0.786571 -0.786571 \n", + "coef_late_end_at_22_23 -2.391664 -2.391664 \n", + "coef_late_start_at_22_23 -0.890587 -0.890587 \n", + "coef_midday_end_at_10_11_12 -2.145575 -2.145575 \n", + "coef_midday_end_at_13_14 0.000000 0.000000 \n", + "coef_midday_start_at_10_11_12 0.000000 0.000000 \n", + "coef_midday_start_at_13_14_15 -0.665045 -0.665045 \n", + "coef_pm_peak_end_at_15 -0.586475 -0.586475 \n", + "coef_pm_peak_end_at_16 -1.337297 -1.337297 \n", + "coef_pm_peak_end_at_17 -1.432487 -1.432487 \n", + "coef_pm_peak_end_at_18 -1.702240 -1.702240 \n", + "coef_pm_peak_start_at_16_17_18 -0.000431 -0.000431 \n", + "coef_start_shift_for_business_related_ -0.071618 -0.071618 \n", + "coef_start_shift_for_first_sub_tour_of_same_wor... -0.458549 -0.458549 \n", + "coef_start_shift_for_inbound_auto_travel_time_o... -0.011025 -0.011025 \n", + "coef_start_shift_for_number_of_individual_nonma... -0.019137 -0.019137 \n", + "coef_start_shift_for_number_of_joint_tours 0.025502 0.025502 \n", + "coef_start_shift_for_number_of_mandatory_tours -0.067479 -0.067479 \n", + "coef_start_shift_for_outbound_auto_travel_time_... 0.010616 0.010616 \n", + "coef_start_shift_for_subsequent_sub_tour_of_sam... -0.117673 -0.117673 \n", "\n", - " nullvalue minimum \\\n", - "coef_am_peak_end 0.0 -25.0 \n", - "coef_am_peak_start_at_6 0.0 -25.0 \n", - "coef_am_peak_start_at_7 0.0 -25.0 \n", - "coef_am_peak_start_at_8 0.0 -25.0 \n", - "coef_am_peak_start_at_9 0.0 -25.0 \n", - "coef_dummy_for_business_related_purpose_and_dur... 0.0 -25.0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 0.0 -25.0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 0.0 -25.0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 0.0 -25.0 \n", - "coef_dummy_for_eating_out_purpose_and_duration_... 0.0 -25.0 \n", - "coef_duration_of_0_hours 0.0 -25.0 \n", - "coef_duration_of_11_to_13_hours 0.0 -25.0 \n", - "coef_duration_of_14_to_18_hours 0.0 -25.0 \n", - "coef_duration_of_1_hour 0.0 -25.0 \n", - "coef_duration_of_2_to_3_hours 0.0 -25.0 \n", - "coef_duration_of_4_to_5_hours 0.0 -25.0 \n", - "coef_duration_of_6_to_7_hours 0.0 -25.0 \n", - "coef_duration_of_8_to_10_hours 0.0 -25.0 \n", - "coef_duration_shift_for_business_related_ 0.0 -25.0 \n", - "coef_duration_shift_for_first_sub_tour_of_same_... 0.0 -25.0 \n", - "coef_duration_shift_for_inbound_auto_travel_tim... 0.0 -25.0 \n", - "coef_duration_shift_for_number_of_individual_no... 0.0 -25.0 \n", - "coef_duration_shift_for_number_of_joint_tours 0.0 -25.0 \n", - "coef_duration_shift_for_number_of_mandatory_tours 0.0 -25.0 \n", - "coef_duration_shift_for_outbound_auto_travel_ti... 0.0 -25.0 \n", - "coef_duration_shift_for_subsequent_sub_tour_of_... 0.0 -25.0 \n", - "coef_early_end_at_5_6 0.0 -25.0 \n", - "coef_early_start_at_5 0.0 -25.0 \n", - "coef_evening_end_at_19_20_21 0.0 -25.0 \n", - "coef_evening_start_at_19_20_21 0.0 -25.0 \n", - "coef_late_end_at_22_23 0.0 -25.0 \n", - "coef_late_start_at_22_23 0.0 -25.0 \n", - "coef_midday_end_at_10_11_12 0.0 -25.0 \n", - "coef_midday_end_at_13_14 0.0 -25.0 \n", - "coef_midday_start_at_10_11_12 0.0 -25.0 \n", - "coef_midday_start_at_13_14_15 0.0 -25.0 \n", - "coef_pm_peak_end_at_15 0.0 -25.0 \n", - "coef_pm_peak_end_at_16 0.0 -25.0 \n", - 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" maximum holdfast note \\\n", - "coef_am_peak_end 25.0 0 \n", - "coef_am_peak_start_at_6 25.0 0 \n", - "coef_am_peak_start_at_7 25.0 0 \n", - "coef_am_peak_start_at_8 25.0 0 \n", - "coef_am_peak_start_at_9 25.0 0 \n", - "coef_dummy_for_business_related_purpose_and_dur... 25.0 0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0 \n", - "coef_dummy_for_eating_out_purpose_and_duration_... 25.0 0 \n", - "coef_duration_of_0_hours 25.0 0 \n", - "coef_duration_of_11_to_13_hours 25.0 0 \n", - "coef_duration_of_14_to_18_hours 25.0 1 \n", - "coef_duration_of_1_hour 25.0 1 \n", - "coef_duration_of_2_to_3_hours 25.0 0 \n", - "coef_duration_of_4_to_5_hours 25.0 0 \n", - "coef_duration_of_6_to_7_hours 25.0 0 \n", - "coef_duration_of_8_to_10_hours 25.0 0 \n", - "coef_duration_shift_for_business_related_ 25.0 0 \n", - "coef_duration_shift_for_first_sub_tour_of_same_... 25.0 0 \n", - "coef_duration_shift_for_inbound_auto_travel_tim... 25.0 0 \n", - "coef_duration_shift_for_number_of_individual_no... 25.0 0 \n", - "coef_duration_shift_for_number_of_joint_tours 25.0 0 \n", - "coef_duration_shift_for_number_of_mandatory_tours 25.0 0 \n", - "coef_duration_shift_for_outbound_auto_travel_ti... 25.0 0 \n", - "coef_duration_shift_for_subsequent_sub_tour_of_... 25.0 0 \n", - "coef_early_end_at_5_6 25.0 0 \n", - "coef_early_start_at_5 25.0 0 \n", - "coef_evening_end_at_19_20_21 25.0 0 \n", - "coef_evening_start_at_19_20_21 25.0 0 \n", - "coef_late_end_at_22_23 25.0 0 \n", - "coef_late_start_at_22_23 25.0 0 \n", - "coef_midday_end_at_10_11_12 25.0 0 \n", - "coef_midday_end_at_13_14 25.0 1 \n", - "coef_midday_start_at_10_11_12 25.0 1 \n", - "coef_midday_start_at_13_14_15 25.0 0 \n", - "coef_pm_peak_end_at_15 25.0 0 \n", - "coef_pm_peak_end_at_16 25.0 0 \n", - "coef_pm_peak_end_at_17 25.0 0 \n", - "coef_pm_peak_end_at_18 25.0 0 \n", - "coef_pm_peak_start_at_16_17_18 25.0 0 \n", - "coef_start_shift_for_business_related_ 25.0 0 \n", - "coef_start_shift_for_first_sub_tour_of_same_wor... 25.0 0 \n", - "coef_start_shift_for_inbound_auto_travel_time_o... 25.0 0 \n", - "coef_start_shift_for_number_of_individual_nonma... 25.0 0 \n", - "coef_start_shift_for_number_of_joint_tours 25.0 0 \n", - "coef_start_shift_for_number_of_mandatory_tours 25.0 0 \n", - "coef_start_shift_for_outbound_auto_travel_time_... 25.0 0 \n", - "coef_start_shift_for_subsequent_sub_tour_of_sam... 25.0 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_am_peak_end 25.0 0.0 \n", + "coef_am_peak_start_at_6 25.0 0.0 \n", + "coef_am_peak_start_at_7 25.0 0.0 \n", + "coef_am_peak_start_at_8 25.0 0.0 \n", + "coef_am_peak_start_at_9 25.0 0.0 \n", + "coef_dummy_for_business_related_purpose_and_dur... 25.0 0.0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0.0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0.0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 25.0 0.0 \n", + "coef_dummy_for_eating_out_purpose_and_duration_... 25.0 0.0 \n", + "coef_duration_of_0_hours 25.0 0.0 \n", + "coef_duration_of_11_to_13_hours 25.0 0.0 \n", + "coef_duration_of_14_to_18_hours 0.0 0.0 \n", + "coef_duration_of_1_hour 0.0 0.0 \n", + "coef_duration_of_2_to_3_hours 25.0 0.0 \n", + "coef_duration_of_4_to_5_hours 25.0 0.0 \n", + "coef_duration_of_6_to_7_hours 25.0 0.0 \n", + "coef_duration_of_8_to_10_hours 25.0 0.0 \n", + "coef_duration_shift_for_business_related_ 25.0 0.0 \n", + "coef_duration_shift_for_first_sub_tour_of_same_... 25.0 0.0 \n", + "coef_duration_shift_for_inbound_auto_travel_tim... 25.0 0.0 \n", + "coef_duration_shift_for_number_of_individual_no... 25.0 0.0 \n", + "coef_duration_shift_for_number_of_joint_tours 25.0 0.0 \n", + "coef_duration_shift_for_number_of_mandatory_tours 25.0 0.0 \n", + "coef_duration_shift_for_outbound_auto_travel_ti... 25.0 0.0 \n", + "coef_duration_shift_for_subsequent_sub_tour_of_... 25.0 0.0 \n", + "coef_early_end_at_5_6 25.0 0.0 \n", + "coef_early_start_at_5 25.0 0.0 \n", + "coef_evening_end_at_19_20_21 25.0 0.0 \n", + "coef_evening_start_at_19_20_21 25.0 0.0 \n", + "coef_late_end_at_22_23 25.0 0.0 \n", + "coef_late_start_at_22_23 25.0 0.0 \n", + "coef_midday_end_at_10_11_12 25.0 0.0 \n", + "coef_midday_end_at_13_14 0.0 0.0 \n", + "coef_midday_start_at_10_11_12 0.0 0.0 \n", + "coef_midday_start_at_13_14_15 25.0 0.0 \n", + "coef_pm_peak_end_at_15 25.0 0.0 \n", + "coef_pm_peak_end_at_16 25.0 0.0 \n", + "coef_pm_peak_end_at_17 25.0 0.0 \n", + "coef_pm_peak_end_at_18 25.0 0.0 \n", + "coef_pm_peak_start_at_16_17_18 25.0 0.0 \n", + "coef_start_shift_for_business_related_ 25.0 0.0 \n", + "coef_start_shift_for_first_sub_tour_of_same_wor... 25.0 0.0 \n", + "coef_start_shift_for_inbound_auto_travel_time_o... 25.0 0.0 \n", + "coef_start_shift_for_number_of_individual_nonma... 25.0 0.0 \n", + "coef_start_shift_for_number_of_joint_tours 25.0 0.0 \n", + "coef_start_shift_for_number_of_mandatory_tours 25.0 0.0 \n", + "coef_start_shift_for_outbound_auto_travel_time_... 25.0 0.0 \n", + "coef_start_shift_for_subsequent_sub_tour_of_sam... 25.0 0.0 \n", "\n", - " best \n", - "coef_am_peak_end -1.373169 \n", - "coef_am_peak_start_at_6 -20.592814 \n", - "coef_am_peak_start_at_7 -2.826984 \n", - "coef_am_peak_start_at_8 -1.196528 \n", - "coef_am_peak_start_at_9 -1.619897 \n", - "coef_dummy_for_business_related_purpose_and_dur... -0.663129 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 1.151827 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 2.625436 \n", - "coef_dummy_for_eating_out_purpose_and_departure... 2.360981 \n", - "coef_dummy_for_eating_out_purpose_and_duration_... 0.310405 \n", - "coef_duration_of_0_hours 9.959985 \n", - "coef_duration_of_11_to_13_hours -0.374055 \n", - "coef_duration_of_14_to_18_hours 0.000000 \n", - "coef_duration_of_1_hour 0.000000 \n", - "coef_duration_of_2_to_3_hours 9.181283 \n", - "coef_duration_of_4_to_5_hours -0.483141 \n", - "coef_duration_of_6_to_7_hours 10.535613 \n", - "coef_duration_of_8_to_10_hours 10.402183 \n", - "coef_duration_shift_for_business_related_ 0.600044 \n", - "coef_duration_shift_for_first_sub_tour_of_same_... 0.319885 \n", - "coef_duration_shift_for_inbound_auto_travel_tim... -0.118575 \n", - "coef_duration_shift_for_number_of_individual_no... 0.009894 \n", - "coef_duration_shift_for_number_of_joint_tours -0.577681 \n", - "coef_duration_shift_for_number_of_mandatory_tours -1.058788 \n", - "coef_duration_shift_for_outbound_auto_travel_ti... 0.145324 \n", - "coef_duration_shift_for_subsequent_sub_tour_of_... -10.333603 \n", - "coef_early_end_at_5_6 -25.000000 \n", - "coef_early_start_at_5 -2.204068 \n", - "coef_evening_end_at_19_20_21 -4.521037 \n", - "coef_evening_start_at_19_20_21 -0.325741 \n", - "coef_late_end_at_22_23 -11.516565 \n", - "coef_late_start_at_22_23 -5.142925 \n", - "coef_midday_end_at_10_11_12 -1.305196 \n", - "coef_midday_end_at_13_14 0.000000 \n", - "coef_midday_start_at_10_11_12 0.000000 \n", - "coef_midday_start_at_13_14_15 -1.051562 \n", - "coef_pm_peak_end_at_15 -1.432981 \n", - "coef_pm_peak_end_at_16 -2.055109 \n", - "coef_pm_peak_end_at_17 -2.404252 \n", - "coef_pm_peak_end_at_18 -3.500372 \n", - "coef_pm_peak_start_at_16_17_18 -0.798588 \n", - "coef_start_shift_for_business_related_ -0.083357 \n", - "coef_start_shift_for_first_sub_tour_of_same_wor... -0.168324 \n", - "coef_start_shift_for_inbound_auto_travel_time_o... -0.099019 \n", - "coef_start_shift_for_number_of_individual_nonma... 0.026777 \n", - "coef_start_shift_for_number_of_joint_tours -0.019722 \n", - "coef_start_shift_for_number_of_mandatory_tours 0.059018 \n", - "coef_start_shift_for_outbound_auto_travel_time_... 0.100349 \n", - "coef_start_shift_for_subsequent_sub_tour_of_sam... -0.360206 " + " holdfast \n", + "param_name \n", + "coef_am_peak_end 0 \n", + "coef_am_peak_start_at_6 0 \n", + "coef_am_peak_start_at_7 0 \n", + "coef_am_peak_start_at_8 0 \n", + "coef_am_peak_start_at_9 0 \n", + "coef_dummy_for_business_related_purpose_and_dur... 0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 0 \n", + "coef_dummy_for_eating_out_purpose_and_departure... 0 \n", + "coef_dummy_for_eating_out_purpose_and_duration_... 0 \n", + "coef_duration_of_0_hours 0 \n", + "coef_duration_of_11_to_13_hours 0 \n", + "coef_duration_of_14_to_18_hours 1 \n", + "coef_duration_of_1_hour 1 \n", + "coef_duration_of_2_to_3_hours 0 \n", + "coef_duration_of_4_to_5_hours 0 \n", + "coef_duration_of_6_to_7_hours 0 \n", + "coef_duration_of_8_to_10_hours 0 \n", + "coef_duration_shift_for_business_related_ 0 \n", + "coef_duration_shift_for_first_sub_tour_of_same_... 0 \n", + "coef_duration_shift_for_inbound_auto_travel_tim... 0 \n", + "coef_duration_shift_for_number_of_individual_no... 0 \n", + "coef_duration_shift_for_number_of_joint_tours 0 \n", + "coef_duration_shift_for_number_of_mandatory_tours 0 \n", + "coef_duration_shift_for_outbound_auto_travel_ti... 0 \n", + "coef_duration_shift_for_subsequent_sub_tour_of_... 0 \n", + "coef_early_end_at_5_6 0 \n", + "coef_early_start_at_5 0 \n", + "coef_evening_end_at_19_20_21 0 \n", + "coef_evening_start_at_19_20_21 0 \n", + "coef_late_end_at_22_23 0 \n", + "coef_late_start_at_22_23 0 \n", + "coef_midday_end_at_10_11_12 0 \n", + "coef_midday_end_at_13_14 1 \n", + "coef_midday_start_at_10_11_12 1 \n", + "coef_midday_start_at_13_14_15 0 \n", + "coef_pm_peak_end_at_15 0 \n", + "coef_pm_peak_end_at_16 0 \n", + "coef_pm_peak_end_at_17 0 \n", + "coef_pm_peak_end_at_18 0 \n", + "coef_pm_peak_start_at_16_17_18 0 \n", + "coef_start_shift_for_business_related_ 0 \n", + "coef_start_shift_for_first_sub_tour_of_same_wor... 0 \n", + "coef_start_shift_for_inbound_auto_travel_time_o... 0 \n", + "coef_start_shift_for_number_of_individual_nonma... 0 \n", + "coef_start_shift_for_number_of_joint_tours 0 \n", + "coef_start_shift_for_number_of_mandatory_tours 0 \n", + "coef_start_shift_for_outbound_auto_travel_time_... 0 \n", + "coef_start_shift_for_subsequent_sub_tour_of_sam... 0 " ] }, "metadata": {}, "output_type": "display_data" }, - 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" 1.151827\n", + " 1.371453\n", " \n", " \n", " coef_dummy_for_eating_out_purpose_and_departure_at_12\n", - " 2.625436\n", + " 2.454861\n", " \n", " \n", " coef_dummy_for_eating_out_purpose_and_departure_at_13\n", - " 2.360981\n", + " 1.832150\n", " \n", " \n", " coef_dummy_for_eating_out_purpose_and_duration_of_1_hour\n", - " 0.310405\n", + " 0.534786\n", " \n", " \n", " coef_duration_of_0_hours\n", - " 9.959985\n", + " -1.056506\n", " \n", " \n", " coef_duration_of_11_to_13_hours\n", - " -0.374055\n", + " 0.292100\n", " \n", " \n", " coef_duration_of_14_to_18_hours\n", @@ -2754,79 +2901,79 @@ " \n", " \n", " coef_duration_of_2_to_3_hours\n", - " 9.181283\n", + " -1.478463\n", " \n", " \n", " coef_duration_of_4_to_5_hours\n", - " -0.483141\n", + " -1.032651\n", " \n", " \n", " coef_duration_of_6_to_7_hours\n", - " 10.535613\n", + " 1.074781\n", " \n", " \n", " coef_duration_of_8_to_10_hours\n", - " 10.402183\n", + " 1.476278\n", " \n", " \n", " coef_duration_shift_for_business_related_\n", - " 0.600044\n", + " 0.237322\n", " \n", " \n", " coef_duration_shift_for_first_sub_tour_of_same_work_tour\n", - " 0.319885\n", + " -0.199899\n", " \n", " \n", " coef_duration_shift_for_inbound_auto_travel_time_off_peak\n", - " -0.118575\n", + " 0.022979\n", " \n", " \n", " coef_duration_shift_for_number_of_individual_nonmandatory_tours\n", - " 0.009894\n", + " -0.075913\n", " \n", " \n", " coef_duration_shift_for_number_of_joint_tours\n", - " -0.577681\n", + " -0.234618\n", " \n", " \n", " coef_duration_shift_for_number_of_mandatory_tours\n", - " -1.058788\n", + " -0.909117\n", " \n", " \n", " coef_duration_shift_for_outbound_auto_travel_time_off_peak\n", - " 0.145324\n", + " -0.002863\n", " \n", " \n", " coef_duration_shift_for_subsequent_sub_tour_of_same_work_tour\n", - " -10.333603\n", + " -0.371148\n", " \n", " \n", " coef_early_end_at_5_6\n", - " -25.000000\n", + " -2.693000\n", " \n", " \n", " coef_early_start_at_5\n", - " -2.204068\n", + " -7.645209\n", " \n", " \n", " coef_evening_end_at_19_20_21\n", - " -4.521037\n", + " -2.460690\n", " \n", " \n", " coef_evening_start_at_19_20_21\n", - " -0.325741\n", + " -0.786571\n", " \n", " \n", " coef_late_end_at_22_23\n", - " -11.516565\n", + " -2.391664\n", " \n", " \n", " coef_late_start_at_22_23\n", - " -5.142925\n", + " -0.890587\n", " \n", " \n", " coef_midday_end_at_10_11_12\n", - " -1.305196\n", + " -2.145575\n", " \n", " \n", " coef_midday_end_at_13_14\n", @@ -2838,62 +2985,62 @@ " \n", " \n", " coef_midday_start_at_13_14_15\n", - " -1.051562\n", + " -0.665045\n", " \n", " \n", " coef_pm_peak_end_at_15\n", - " -1.432981\n", + " -0.586475\n", " \n", " \n", " coef_pm_peak_end_at_16\n", - " -2.055109\n", + " -1.337297\n", " \n", " \n", " coef_pm_peak_end_at_17\n", - " -2.404252\n", + " -1.432487\n", " \n", " \n", " coef_pm_peak_end_at_18\n", - " -3.500372\n", + " -1.702240\n", " \n", " \n", " coef_pm_peak_start_at_16_17_18\n", - " -0.798588\n", + " -0.000431\n", " \n", " \n", " coef_start_shift_for_business_related_\n", - " -0.083357\n", + " -0.071618\n", " \n", " \n", " coef_start_shift_for_first_sub_tour_of_same_work_tour\n", - " -0.168324\n", + " -0.458549\n", " \n", " \n", " coef_start_shift_for_inbound_auto_travel_time_off_peak\n", - " -0.099019\n", + " -0.011025\n", " \n", " \n", " coef_start_shift_for_number_of_individual_nonmandatory_tours\n", - " 0.026777\n", + " -0.019137\n", " \n", " \n", " coef_start_shift_for_number_of_joint_tours\n", - " -0.019722\n", + " 0.025502\n", " \n", " \n", " coef_start_shift_for_number_of_mandatory_tours\n", - " 0.059018\n", + " -0.067479\n", " \n", " \n", " coef_start_shift_for_outbound_auto_travel_time_off_peak\n", - " 0.100349\n", + " 0.010616\n", " \n", " \n", " coef_start_shift_for_subsequent_sub_tour_of_same_work_tour\n", - " -0.360206\n", + " -0.117673\n", " \n", " \n", - "loglike-1401.9305368056416d_loglike\n", + "
logloss2.887476765558531d_logloss\n", " \n", " \n", " \n", @@ -2903,51 +3050,51 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -2959,79 +3106,79 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3043,185 +3190,185 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - "
coef_am_peak_end1.755671e-04-4.854218e-05
coef_am_peak_start_at_6-3.041241e-081.910552e-05
coef_am_peak_start_at_7-8.670115e-059.916948e-07
coef_am_peak_start_at_85.028242e-054.037261e-05
coef_am_peak_start_at_95.798423e-041.440668e-04
coef_dummy_for_business_related_purpose_and_duration_from_0_to_11.601202e-04-1.280892e-04
coef_dummy_for_eating_out_purpose_and_departure_at_11-3.475790e-051.803296e-04
coef_dummy_for_eating_out_purpose_and_departure_at_12-5.671365e-05-1.483346e-04
coef_dummy_for_eating_out_purpose_and_departure_at_13-2.578419e-051.713493e-04
coef_dummy_for_eating_out_purpose_and_duration_of_1_hour1.872976e-04-2.135625e-04
coef_duration_of_0_hours-1.158083e-038.415289e-05
coef_duration_of_11_to_13_hours-1.673798e-06-6.167370e-06
coef_duration_of_14_to_18_hours
coef_duration_of_2_to_3_hours9.972871e-04-1.347427e-04
coef_duration_of_4_to_5_hours1.179130e-041.170007e-05
coef_duration_of_6_to_7_hours-3.119839e-04-7.452797e-05
coef_duration_of_8_to_10_hours1.749841e-06-4.591330e-06
coef_duration_shift_for_business_related_-1.422810e-031.631608e-04
coef_duration_shift_for_first_sub_tour_of_same_work_tour-6.454765e-046.894456e-05
coef_duration_shift_for_inbound_auto_travel_time_off_peak8.510358e-03-1.645782e-04
coef_duration_shift_for_number_of_individual_nonmandatory_tours-1.352429e-03-1.965446e-04
coef_duration_shift_for_number_of_joint_tours1.961158e-042.409234e-04
coef_duration_shift_for_number_of_mandatory_tours-6.872100e-04-9.571494e-05
coef_duration_shift_for_outbound_auto_travel_time_off_peak7.485785e-035.935593e-05
coef_duration_shift_for_subsequent_sub_tour_of_same_work_tour-5.553217e-06-5.141939e-05
coef_early_end_at_5_6-4.444583e-111.627725e-05
coef_early_start_at_55.404961e-057.249674e-05
coef_evening_end_at_19_20_21-3.938375e-04-1.112621e-04
coef_evening_start_at_19_20_21-1.613864e-041.220311e-04
coef_late_end_at_22_23-3.810622e-04-5.597541e-05
coef_late_start_at_22_23-1.853500e-06-9.478339e-05
coef_midday_end_at_10_11_126.960928e-04-2.023533e-05
coef_midday_end_at_13_14
coef_midday_start_at_13_14_158.833428e-058.980809e-05
coef_pm_peak_end_at_15-2.278624e-04-2.232845e-04
coef_pm_peak_end_at_16-3.377131e-05-4.780466e-05
coef_pm_peak_end_at_17-4.096157e-043.154057e-04
coef_pm_peak_end_at_18-4.205497e-04-1.485193e-04
coef_pm_peak_start_at_16_17_18-8.339350e-04-3.850429e-05
coef_start_shift_for_business_related_1.194878e-04-2.801495e-06
coef_start_shift_for_first_sub_tour_of_same_work_tour-1.481936e-021.192141e-04
coef_start_shift_for_inbound_auto_travel_time_off_peak-1.201511e-017.248793e-05
coef_start_shift_for_number_of_individual_nonmandatory_tours-1.882400e-03-4.273167e-05
coef_start_shift_for_number_of_joint_tours-1.517039e-034.702349e-05
coef_start_shift_for_number_of_mandatory_tours-1.475028e-02-4.354135e-05
coef_start_shift_for_outbound_auto_travel_time_off_peak-1.163942e-01-4.170920e-05
coef_start_shift_for_subsequent_sub_tour_of_same_work_tour2.856907e-051.286129e-04
nit68nfev132njev68status0message'Optimization terminated successfully'successTrueelapsed_time0:00:01.774115method'slsqp'n_cases464iteration_number68logloss3.021402018977676" + "nit68nfev75njev68status0message'Optimization terminated successfully'successTrueelapsed_time0:00:05.198235method'slsqp'n_cases6036iteration_number68loglike-17373.947698365682" ], "text/plain": [ - "┣ x: coef_am_peak_end -1.373169\n", - "┃ coef_am_peak_start_at_6 -20.592814\n", - "┃ coef_am_peak_start_at_7 -2.826984\n", - "┃ coef_am_peak_start_at_8 -1.196528\n", - "┃ coef_am_peak_start_at_9 -1.619897\n", - "┃ coef_dummy_for_business_related_purpose_and_duration_from_0_to_1 -0.663129\n", - "┃ coef_dummy_for_eating_out_purpose_and_departure_at_11 1.151827\n", - "┃ coef_dummy_for_eating_out_purpose_and_departure_at_12 2.625436\n", - "┃ coef_dummy_for_eating_out_purpose_and_departure_at_13 2.360981\n", - "┃ coef_dummy_for_eating_out_purpose_and_duration_of_1_hour 0.310405\n", - "┃ coef_duration_of_0_hours 9.959985\n", - 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"┃ coef_evening_end_at_19_20_21 -4.521037\n", - "┃ coef_evening_start_at_19_20_21 -0.325741\n", - "┃ coef_late_end_at_22_23 -11.516565\n", - "┃ coef_late_start_at_22_23 -5.142925\n", - "┃ coef_midday_end_at_10_11_12 -1.305196\n", - "┃ coef_midday_end_at_13_14 0.000000\n", - "┃ coef_midday_start_at_10_11_12 0.000000\n", - "┃ coef_midday_start_at_13_14_15 -1.051562\n", - "┃ coef_pm_peak_end_at_15 -1.432981\n", - "┃ coef_pm_peak_end_at_16 -2.055109\n", - "┃ coef_pm_peak_end_at_17 -2.404252\n", - "┃ coef_pm_peak_end_at_18 -3.500372\n", - "┃ coef_pm_peak_start_at_16_17_18 -0.798588\n", - "┃ coef_start_shift_for_business_related_ -0.083357\n", - "┃ coef_start_shift_for_first_sub_tour_of_same_work_tour -0.168324\n", - "┃ coef_start_shift_for_inbound_auto_travel_time_off_peak -0.099019\n", - "┃ coef_start_shift_for_number_of_individual_nonmandatory_tours 0.026777\n", - "┃ coef_start_shift_for_number_of_joint_tours -0.019722\n", - "┃ coef_start_shift_for_number_of_mandatory_tours 0.059018\n", - 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"┃ coef_midday_start_at_13_14_15 8.833428e-05\n", - "┃ coef_pm_peak_end_at_15 -2.278624e-04\n", - "┃ coef_pm_peak_end_at_16 -3.377131e-05\n", - "┃ coef_pm_peak_end_at_17 -4.096157e-04\n", - "┃ coef_pm_peak_end_at_18 -4.205497e-04\n", - "┃ coef_pm_peak_start_at_16_17_18 -8.339350e-04\n", - "┃ coef_start_shift_for_business_related_ 1.194878e-04\n", - "┃ coef_start_shift_for_first_sub_tour_of_same_work_tour -1.481936e-02\n", - "┃ coef_start_shift_for_inbound_auto_travel_time_off_peak -1.201511e-01\n", - "┃ coef_start_shift_for_number_of_individual_nonmandatory_tours -1.882400e-03\n", - "┃ coef_start_shift_for_number_of_joint_tours -1.517039e-03\n", - "┃ coef_start_shift_for_number_of_mandatory_tours -1.475028e-02\n", - "┃ coef_start_shift_for_outbound_auto_travel_time_off_peak -1.163942e-01\n", - "┃ coef_start_shift_for_subsequent_sub_tour_of_same_work_tour 2.856907e-05\n", + "┃ coef_midday_start_at_13_14_15 8.980809e-05\n", + "┃ coef_pm_peak_end_at_15 -2.232845e-04\n", + "┃ coef_pm_peak_end_at_16 -4.780466e-05\n", + "┃ coef_pm_peak_end_at_17 3.154057e-04\n", + "┃ coef_pm_peak_end_at_18 -1.485193e-04\n", + "┃ coef_pm_peak_start_at_16_17_18 -3.850429e-05\n", + "┃ coef_start_shift_for_business_related_ -2.801495e-06\n", + "┃ coef_start_shift_for_first_sub_tour_of_same_work_tour 1.192141e-04\n", + "┃ coef_start_shift_for_inbound_auto_travel_time_off_peak 7.248793e-05\n", + "┃ coef_start_shift_for_number_of_individual_nonmandatory_tours -4.273167e-05\n", + "┃ coef_start_shift_for_number_of_joint_tours 4.702349e-05\n", + "┃ coef_start_shift_for_number_of_mandatory_tours -4.354135e-05\n", + "┃ coef_start_shift_for_outbound_auto_travel_time_off_peak -4.170920e-05\n", + "┃ coef_start_shift_for_subsequent_sub_tour_of_same_work_tour 1.286129e-04\n", "┃ dtype: float64\n", "┣ nit: 68\n", - "┣ nfev: 132\n", + "┣ nfev: 75\n", "┣ njev: 68\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=1, microseconds=774115)\n", + "┣ elapsed_time: datetime.timedelta(seconds=5, microseconds=198235)\n", "┣ method: 'slsqp'\n", - "┣ n_cases: 464\n", + "┣ n_cases: 6036\n", "┣ iteration_number: 68\n", - "┣ logloss: 3.021402018977676" + "┣ loglike: -17373.947698365682" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model.estimate()" + "model.estimate(maxiter=900)" ] }, { @@ -3233,519 +3380,496 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_am_peak_end-1.37 0.551-2.49* NA 0.00
coef_am_peak_start_at_6-20.6 7.33-2.81** NA 0.00
coef_am_peak_start_at_7-2.83 0.615-4.59*** NA 0.00
coef_am_peak_start_at_8-1.20 0.405-2.96** NA 0.00
coef_am_peak_start_at_9-1.62 0.372-4.35*** NA 0.00
coef_dummy_for_business_related_purpose_and_duration_from_0_to_1-0.663 0.597-1.11 NA 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_11 1.15 0.559 2.06* NA 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_12 2.63 0.598 4.39*** NA 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_13 2.36 0.785 3.01** NA 0.00
coef_dummy_for_eating_out_purpose_and_duration_of_1_hour 0.310 0.516 0.60 NA 0.00
coef_duration_of_0_hours 9.96 1.24 8.06*** NA 0.00
coef_duration_of_11_to_13_hours-0.374 773.-0.00 NA 0.00
coef_duration_of_14_to_18_hours 0.00 NA NA NA 0.00fixed value
coef_duration_of_1_hour 0.00 NA NA NA 0.00fixed value
coef_duration_of_2_to_3_hours 9.18 1.26 7.27*** NA 0.00
coef_duration_of_4_to_5_hours-0.483 0.399-1.21 NA 0.00
coef_duration_of_6_to_7_hours 10.5 1.48 7.11*** NA 0.00
coef_duration_of_8_to_10_hours 10.4 1.83 5.70*** NA 0.00
coef_duration_shift_for_business_related_ 0.600 0.143 4.20*** NA 0.00
coef_duration_shift_for_first_sub_tour_of_same_work_tour 0.320 0.665 0.48 NA 0.00
coef_duration_shift_for_inbound_auto_travel_time_off_peak-0.119 0.0948-1.25 NA 0.00
coef_duration_shift_for_number_of_individual_nonmandatory_tours 0.00989 0.0574 0.17 NA 0.00
coef_duration_shift_for_number_of_joint_tours-0.578 0.294-1.96* NA 0.00
coef_duration_shift_for_number_of_mandatory_tours-1.06 0.652-1.62 NA 0.00
coef_duration_shift_for_outbound_auto_travel_time_off_peak 0.145 0.0956 1.52 NA 0.00
coef_duration_shift_for_subsequent_sub_tour_of_same_work_tour-10.3 424.-0.02 NA 0.00
coef_early_end_at_5_6-25.0 NA NA[*] 3.06 0.00coef_early_end_at_5_6 ≥ -25.0
coef_early_start_at_5-2.20 1.30-1.70 NA 0.00
coef_evening_end_at_19_20_21-4.52 1.26-3.59*** NA 0.00
coef_evening_start_at_19_20_21-0.326 1.53-0.21 NA 0.00
coef_late_end_at_22_23-11.5 51.4-0.22 NA 0.00
coef_late_start_at_22_23-5.14 736.-0.01 NA 0.00
coef_midday_end_at_10_11_12-1.31 0.238-5.49*** NA 0.00
coef_midday_end_at_13_14 0.00 NA NA NA 0.00fixed value
coef_midday_start_at_10_11_12 0.00 NA NA NA 0.00fixed value
coef_midday_start_at_13_14_15-1.05 0.239-4.41*** NA 0.00
coef_pm_peak_end_at_15-1.43 0.260-5.50*** NA 0.00
coef_pm_peak_end_at_16-2.06 0.451-4.56*** NA 0.00
coef_pm_peak_end_at_17-2.40 0.556-4.33*** NA 0.00
coef_pm_peak_end_at_18-3.50 0.738-4.74*** NA 0.00
coef_pm_peak_start_at_16_17_18-0.799 0.642-1.24 NA 0.00
coef_start_shift_for_business_related_-0.0834 0.144-0.58 NA 0.00
coef_start_shift_for_first_sub_tour_of_same_work_tour-0.168 0.135-1.25 NA 0.00
coef_start_shift_for_inbound_auto_travel_time_off_peak-0.0990 0.0641-1.54 NA 0.00
coef_start_shift_for_number_of_individual_nonmandatory_tours 0.0268 0.0292 0.92 NA 0.00
coef_start_shift_for_number_of_joint_tours-0.0197 0.122-0.16 NA 0.00
coef_start_shift_for_number_of_mandatory_tours 0.0590 0.0887 0.67 NA 0.00
coef_start_shift_for_outbound_auto_travel_time_off_peak 0.100 0.0650 1.54 NA 0.00
coef_start_shift_for_subsequent_sub_tour_of_same_work_tour-0.360 0.423-0.85 NA 0.00
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_am_peak_end-2.54 0.162-15.68*** 0.00
coef_am_peak_start_at_6-5.79 0.649-8.93*** 0.00
coef_am_peak_start_at_7-4.24 0.200-21.18*** 0.00
coef_am_peak_start_at_8-2.37 0.127-18.63*** 0.00
coef_am_peak_start_at_9-2.11 0.111-19.05*** 0.00
coef_dummy_for_business_related_purpose_and_duration_from_0_to_1-1.66 0.153-10.81*** 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_11 1.37 0.130 10.56*** 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_12 2.45 0.153 16.00*** 0.00
coef_dummy_for_eating_out_purpose_and_departure_at_13 1.83 0.204 8.98*** 0.00
coef_dummy_for_eating_out_purpose_and_duration_of_1_hour 0.535 0.128 4.17*** 0.00
coef_duration_of_0_hours-1.06 0.214-4.94*** 0.00
coef_duration_of_11_to_13_hours 0.292 5.22 0.06 0.00
coef_duration_of_14_to_18_hours 0.00 0.00 NA 0.00fixed value
coef_duration_of_1_hour 0.00 0.00 NA 0.00fixed value
coef_duration_of_2_to_3_hours-1.48 0.199-7.43*** 0.00
coef_duration_of_4_to_5_hours-1.03 0.160-6.46*** 0.00
coef_duration_of_6_to_7_hours 1.07 0.241 4.46*** 0.00
coef_duration_of_8_to_10_hours 1.48 0.409 3.61*** 0.00
coef_duration_shift_for_business_related_ 0.237 0.0416 5.71*** 0.00
coef_duration_shift_for_first_sub_tour_of_same_work_tour-0.200 0.159-1.26 0.00
coef_duration_shift_for_inbound_auto_travel_time_off_peak 0.0230 0.0131 1.76 0.00
coef_duration_shift_for_number_of_individual_nonmandatory_tours-0.0759 0.0200-3.79*** 0.00
coef_duration_shift_for_number_of_joint_tours-0.235 0.0632-3.71*** 0.00
coef_duration_shift_for_number_of_mandatory_tours-0.909 0.154-5.90*** 0.00
coef_duration_shift_for_outbound_auto_travel_time_off_peak-0.00286 0.0130-0.22 0.00
coef_duration_shift_for_subsequent_sub_tour_of_same_work_tour-0.371 0.303-1.22 0.00
coef_early_end_at_5_6-2.69 0.834-3.23** 0.00
coef_early_start_at_5-7.65 1.48-5.16*** 0.00
coef_evening_end_at_19_20_21-2.46 0.364-6.75*** 0.00
coef_evening_start_at_19_20_21-0.787 0.597-1.32 0.00
coef_late_end_at_22_23-2.39 1.21-1.98* 0.00
coef_late_start_at_22_23-0.891 1.85-0.48 0.00
coef_midday_end_at_10_11_12-2.15 0.0685-31.31*** 0.00
coef_midday_end_at_13_14 0.00 0.00 NA 0.00fixed value
coef_midday_start_at_10_11_12 0.00 0.00 NA 0.00fixed value
coef_midday_start_at_13_14_15-0.665 0.0663-10.04*** 0.00
coef_pm_peak_end_at_15-0.586 0.0676-8.68*** 0.00
coef_pm_peak_end_at_16-1.34 0.134-10.01*** 0.00
coef_pm_peak_end_at_17-1.43 0.165-8.68*** 0.00
coef_pm_peak_end_at_18-1.70 0.211-8.07*** 0.00
coef_pm_peak_start_at_16_17_18-0.000431 0.181-0.00 0.00
coef_start_shift_for_business_related_-0.0716 0.0540-1.33 0.00
coef_start_shift_for_first_sub_tour_of_same_work_tour-0.459 0.0714-6.42*** 0.00
coef_start_shift_for_inbound_auto_travel_time_off_peak-0.0110 0.0130-0.85 0.00
coef_start_shift_for_number_of_individual_nonmandatory_tours-0.0191 0.0140-1.37 0.00
coef_start_shift_for_number_of_joint_tours 0.0255 0.0364 0.70 0.00
coef_start_shift_for_number_of_mandatory_tours-0.0675 0.0648-1.04 0.00
coef_start_shift_for_outbound_auto_travel_time_off_peak 0.0106 0.0127 0.83 0.00
coef_start_shift_for_subsequent_sub_tour_of_same_work_tour-0.118 0.167-0.71 0.00
\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -3766,7 +3890,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -3787,20 +3911,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "model.to_xlsx(\n", " result_dir/f\"{modelname}_model_estimation.xlsx\", \n", @@ -3819,7 +3932,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -3852,31 +3965,31 @@ " \n", " 0\n", " coef_early_start_at_5\n", - " -2.204068\n", + " -7.645209\n", " F\n", " \n", " \n", " 1\n", " coef_am_peak_start_at_6\n", - " -20.592814\n", + " -5.790935\n", " F\n", " \n", " \n", " 2\n", " coef_am_peak_start_at_7\n", - " -2.826984\n", + " -4.238642\n", " F\n", " \n", " \n", " 3\n", " coef_am_peak_start_at_8\n", - " -1.196528\n", + " -2.371798\n", " F\n", " \n", " \n", " 4\n", " coef_am_peak_start_at_9\n", - " -1.619897\n", + " -2.106247\n", " F\n", " \n", " \n", @@ -3888,43 +4001,43 @@ " \n", " 6\n", " coef_midday_start_at_13_14_15\n", - " -1.051562\n", + " -0.665045\n", " F\n", " \n", " \n", " 7\n", " coef_pm_peak_start_at_16_17_18\n", - " -0.798588\n", + " -0.000431\n", " F\n", " \n", " \n", " 8\n", " coef_evening_start_at_19_20_21\n", - " -0.325741\n", + " -0.786571\n", " F\n", " \n", " \n", " 9\n", " coef_late_start_at_22_23\n", - " -5.142925\n", + " -0.890587\n", " F\n", " \n", " \n", " 10\n", " coef_early_end_at_5_6\n", - " -25.000000\n", + " -2.693000\n", " F\n", " \n", " \n", " 11\n", " coef_am_peak_end\n", - " -1.373169\n", + " -2.543876\n", " F\n", " \n", " \n", " 12\n", " coef_midday_end_at_10_11_12\n", - " -1.305196\n", + " -2.145575\n", " F\n", " \n", " \n", @@ -3936,43 +4049,43 @@ " \n", " 14\n", " coef_pm_peak_end_at_15\n", - " -1.432981\n", + " -0.586475\n", " F\n", " \n", " \n", " 15\n", " coef_pm_peak_end_at_16\n", - " -2.055109\n", + " -1.337297\n", " F\n", " \n", " \n", " 16\n", " coef_pm_peak_end_at_17\n", - " -2.404252\n", + " -1.432487\n", " F\n", " \n", " \n", " 17\n", " coef_pm_peak_end_at_18\n", - " -3.500372\n", + " -1.702240\n", " F\n", " \n", " \n", " 18\n", " coef_evening_end_at_19_20_21\n", - " -4.521037\n", + " -2.460690\n", " F\n", " \n", " \n", " 19\n", " coef_late_end_at_22_23\n", - " -11.516565\n", + " -2.391664\n", " F\n", " \n", " \n", " 20\n", " coef_duration_of_0_hours\n", - " 9.959985\n", + " -1.056506\n", " F\n", " \n", " \n", @@ -3984,31 +4097,31 @@ " \n", " 22\n", " coef_duration_of_2_to_3_hours\n", - " 9.181283\n", + " -1.478463\n", " F\n", " \n", " \n", " 23\n", " coef_duration_of_4_to_5_hours\n", - " -0.483141\n", + " -1.032651\n", " F\n", " \n", " \n", " 24\n", " coef_duration_of_6_to_7_hours\n", - " 10.535613\n", + " 1.074781\n", " F\n", " \n", " \n", " 25\n", " coef_duration_of_8_to_10_hours\n", - " 10.402183\n", + " 1.476278\n", " F\n", " \n", " \n", " 26\n", " coef_duration_of_11_to_13_hours\n", - " -0.374055\n", + " 0.292100\n", " F\n", " \n", " \n", @@ -4020,127 +4133,127 @@ " \n", " 28\n", " coef_start_shift_for_outbound_auto_travel_time...\n", - " 0.100349\n", + " 0.010616\n", " F\n", " \n", " \n", " 29\n", " coef_start_shift_for_inbound_auto_travel_time_...\n", - " -0.099019\n", + " -0.011025\n", " F\n", " \n", " \n", " 30\n", " coef_duration_shift_for_outbound_auto_travel_t...\n", - " 0.145324\n", + " -0.002863\n", " F\n", " \n", " \n", " 31\n", " coef_duration_shift_for_inbound_auto_travel_ti...\n", - " -0.118575\n", + " 0.022979\n", " F\n", " \n", " \n", " 32\n", " coef_start_shift_for_business_related_\n", - " -0.083357\n", + " -0.071618\n", " F\n", " \n", " \n", " 33\n", " coef_duration_shift_for_business_related_\n", - " 0.600044\n", + " 0.237322\n", " F\n", " \n", " \n", " 34\n", " coef_start_shift_for_first_sub_tour_of_same_wo...\n", - " -0.168324\n", + " -0.458549\n", " F\n", " \n", " \n", " 35\n", " coef_duration_shift_for_first_sub_tour_of_same...\n", - " 0.319885\n", + " -0.199899\n", " F\n", " \n", " \n", " 36\n", " coef_start_shift_for_subsequent_sub_tour_of_sa...\n", - " -0.360206\n", + " -0.117673\n", " F\n", " \n", " \n", " 37\n", " coef_duration_shift_for_subsequent_sub_tour_of...\n", - " -10.333603\n", + " -0.371148\n", " F\n", " \n", " \n", " 38\n", " coef_start_shift_for_number_of_mandatory_tours\n", - " 0.059018\n", + " -0.067479\n", " F\n", " \n", " \n", " 39\n", " coef_duration_shift_for_number_of_mandatory_tours\n", - " -1.058788\n", + " -0.909117\n", " F\n", " \n", " \n", " 40\n", " coef_start_shift_for_number_of_joint_tours\n", - " -0.019722\n", + " 0.025502\n", " F\n", " \n", " \n", " 41\n", " coef_duration_shift_for_number_of_joint_tours\n", - " -0.577681\n", + " -0.234618\n", " F\n", " \n", " \n", " 42\n", " coef_start_shift_for_number_of_individual_nonm...\n", - " 0.026777\n", + " -0.019137\n", " F\n", " \n", " \n", " 43\n", " coef_duration_shift_for_number_of_individual_n...\n", - " 0.009894\n", + " -0.075913\n", " F\n", " \n", " \n", " 44\n", " coef_dummy_for_business_related_purpose_and_du...\n", - " -0.663129\n", + " -1.656086\n", " F\n", " \n", " \n", " 45\n", " coef_dummy_for_eating_out_purpose_and_duration...\n", - " 0.310405\n", + " 0.534786\n", " F\n", " \n", " \n", " 46\n", " coef_dummy_for_eating_out_purpose_and_departur...\n", - " 1.151827\n", + " 1.371453\n", " F\n", " \n", " \n", " 47\n", " coef_dummy_for_eating_out_purpose_and_departur...\n", - " 2.625436\n", + " 2.454861\n", " F\n", " \n", " \n", " 48\n", " coef_dummy_for_eating_out_purpose_and_departur...\n", - " 2.360981\n", + " 1.832150\n", " F\n", " \n", " \n", @@ -4148,59 +4261,59 @@ "" ], "text/plain": [ - " coefficient_name value constrain\n", - "0 coef_early_start_at_5 -2.204068 F\n", - "1 coef_am_peak_start_at_6 -20.592814 F\n", - "2 coef_am_peak_start_at_7 -2.826984 F\n", - "3 coef_am_peak_start_at_8 -1.196528 F\n", - "4 coef_am_peak_start_at_9 -1.619897 F\n", - "5 coef_midday_start_at_10_11_12 0.000000 T\n", - "6 coef_midday_start_at_13_14_15 -1.051562 F\n", - "7 coef_pm_peak_start_at_16_17_18 -0.798588 F\n", - "8 coef_evening_start_at_19_20_21 -0.325741 F\n", - "9 coef_late_start_at_22_23 -5.142925 F\n", - "10 coef_early_end_at_5_6 -25.000000 F\n", - "11 coef_am_peak_end -1.373169 F\n", - "12 coef_midday_end_at_10_11_12 -1.305196 F\n", - "13 coef_midday_end_at_13_14 0.000000 T\n", - "14 coef_pm_peak_end_at_15 -1.432981 F\n", - "15 coef_pm_peak_end_at_16 -2.055109 F\n", - "16 coef_pm_peak_end_at_17 -2.404252 F\n", - "17 coef_pm_peak_end_at_18 -3.500372 F\n", - "18 coef_evening_end_at_19_20_21 -4.521037 F\n", - "19 coef_late_end_at_22_23 -11.516565 F\n", - "20 coef_duration_of_0_hours 9.959985 F\n", - "21 coef_duration_of_1_hour 0.000000 T\n", - "22 coef_duration_of_2_to_3_hours 9.181283 F\n", - "23 coef_duration_of_4_to_5_hours -0.483141 F\n", - "24 coef_duration_of_6_to_7_hours 10.535613 F\n", - "25 coef_duration_of_8_to_10_hours 10.402183 F\n", - "26 coef_duration_of_11_to_13_hours -0.374055 F\n", - "27 coef_duration_of_14_to_18_hours 0.000000 T\n", - "28 coef_start_shift_for_outbound_auto_travel_time... 0.100349 F\n", - "29 coef_start_shift_for_inbound_auto_travel_time_... -0.099019 F\n", - "30 coef_duration_shift_for_outbound_auto_travel_t... 0.145324 F\n", - "31 coef_duration_shift_for_inbound_auto_travel_ti... -0.118575 F\n", - "32 coef_start_shift_for_business_related_ -0.083357 F\n", - "33 coef_duration_shift_for_business_related_ 0.600044 F\n", - "34 coef_start_shift_for_first_sub_tour_of_same_wo... -0.168324 F\n", - "35 coef_duration_shift_for_first_sub_tour_of_same... 0.319885 F\n", - "36 coef_start_shift_for_subsequent_sub_tour_of_sa... -0.360206 F\n", - "37 coef_duration_shift_for_subsequent_sub_tour_of... -10.333603 F\n", - "38 coef_start_shift_for_number_of_mandatory_tours 0.059018 F\n", - "39 coef_duration_shift_for_number_of_mandatory_tours -1.058788 F\n", - "40 coef_start_shift_for_number_of_joint_tours -0.019722 F\n", - "41 coef_duration_shift_for_number_of_joint_tours -0.577681 F\n", - "42 coef_start_shift_for_number_of_individual_nonm... 0.026777 F\n", - "43 coef_duration_shift_for_number_of_individual_n... 0.009894 F\n", - "44 coef_dummy_for_business_related_purpose_and_du... -0.663129 F\n", - "45 coef_dummy_for_eating_out_purpose_and_duration... 0.310405 F\n", - "46 coef_dummy_for_eating_out_purpose_and_departur... 1.151827 F\n", - "47 coef_dummy_for_eating_out_purpose_and_departur... 2.625436 F\n", - "48 coef_dummy_for_eating_out_purpose_and_departur... 2.360981 F" + " coefficient_name value constrain\n", + "0 coef_early_start_at_5 -7.645209 F\n", + "1 coef_am_peak_start_at_6 -5.790935 F\n", + "2 coef_am_peak_start_at_7 -4.238642 F\n", + "3 coef_am_peak_start_at_8 -2.371798 F\n", + "4 coef_am_peak_start_at_9 -2.106247 F\n", + "5 coef_midday_start_at_10_11_12 0.000000 T\n", + "6 coef_midday_start_at_13_14_15 -0.665045 F\n", + "7 coef_pm_peak_start_at_16_17_18 -0.000431 F\n", + "8 coef_evening_start_at_19_20_21 -0.786571 F\n", + "9 coef_late_start_at_22_23 -0.890587 F\n", + "10 coef_early_end_at_5_6 -2.693000 F\n", + "11 coef_am_peak_end -2.543876 F\n", + "12 coef_midday_end_at_10_11_12 -2.145575 F\n", + "13 coef_midday_end_at_13_14 0.000000 T\n", + "14 coef_pm_peak_end_at_15 -0.586475 F\n", + "15 coef_pm_peak_end_at_16 -1.337297 F\n", + "16 coef_pm_peak_end_at_17 -1.432487 F\n", + "17 coef_pm_peak_end_at_18 -1.702240 F\n", + "18 coef_evening_end_at_19_20_21 -2.460690 F\n", + "19 coef_late_end_at_22_23 -2.391664 F\n", + "20 coef_duration_of_0_hours -1.056506 F\n", + "21 coef_duration_of_1_hour 0.000000 T\n", + "22 coef_duration_of_2_to_3_hours -1.478463 F\n", + "23 coef_duration_of_4_to_5_hours -1.032651 F\n", + "24 coef_duration_of_6_to_7_hours 1.074781 F\n", + "25 coef_duration_of_8_to_10_hours 1.476278 F\n", + "26 coef_duration_of_11_to_13_hours 0.292100 F\n", + "27 coef_duration_of_14_to_18_hours 0.000000 T\n", + "28 coef_start_shift_for_outbound_auto_travel_time... 0.010616 F\n", + "29 coef_start_shift_for_inbound_auto_travel_time_... -0.011025 F\n", + "30 coef_duration_shift_for_outbound_auto_travel_t... -0.002863 F\n", + "31 coef_duration_shift_for_inbound_auto_travel_ti... 0.022979 F\n", + "32 coef_start_shift_for_business_related_ -0.071618 F\n", + "33 coef_duration_shift_for_business_related_ 0.237322 F\n", + "34 coef_start_shift_for_first_sub_tour_of_same_wo... -0.458549 F\n", + "35 coef_duration_shift_for_first_sub_tour_of_same... -0.199899 F\n", + "36 coef_start_shift_for_subsequent_sub_tour_of_sa... -0.117673 F\n", + "37 coef_duration_shift_for_subsequent_sub_tour_of... -0.371148 F\n", + "38 coef_start_shift_for_number_of_mandatory_tours -0.067479 F\n", + "39 coef_duration_shift_for_number_of_mandatory_tours -0.909117 F\n", + "40 coef_start_shift_for_number_of_joint_tours 0.025502 F\n", + "41 coef_duration_shift_for_number_of_joint_tours -0.234618 F\n", + "42 coef_start_shift_for_number_of_individual_nonm... -0.019137 F\n", + "43 coef_duration_shift_for_number_of_individual_n... -0.075913 F\n", + "44 coef_dummy_for_business_related_purpose_and_du... -1.656086 F\n", + "45 coef_dummy_for_eating_out_purpose_and_duration... 0.534786 F\n", + "46 coef_dummy_for_eating_out_purpose_and_departur... 1.371453 F\n", + "47 coef_dummy_for_eating_out_purpose_and_departur... 2.454861 F\n", + "48 coef_dummy_for_eating_out_purpose_and_departur... 1.832150 F" ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -4217,7 +4330,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -4231,7 +4344,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/21_stop_frequency.ipynb b/activitysim/examples/example_estimation/notebooks/21_stop_frequency.ipynb index 3de8e6427..ee1914bfd 100644 --- a/activitysim/examples/example_estimation/notebooks/21_stop_frequency.ipynb +++ b/activitysim/examples/example_estimation/notebooks/21_stop_frequency.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -73,8 +120,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/activitysim/activitysim/estimation/larch/general.py:321: UserWarning: coefficient dataframe missing 'constrain' column, setting all to 'F'\n", - " warnings.warn(\"coefficient dataframe missing 'constrain' column, setting all to 'F'\")\n" + "/Users/jpn/Git/est-mode/activitysim/activitysim/estimation/larch/general.py:359: UserWarning: coefficient dataframe missing 'constrain' column, setting all to 'F'\n", + " warnings.warn(\n" ] } ], @@ -82,7 +129,12 @@ "modelname = \"stop_frequency\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "\n", + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -1195,10 +1247,10 @@ " coef_alternative_specific_constant_for_outboun...\n", " coef_alternative_specific_constant_for_outboun...\n", " coef_alternative_specific_constant_for_outboun...\n", - " -3.934\n", - " -3.934\n", - " -3.934\n", - " -3.934\n", + " coef_alternative_specific_constant_for_outboun...\n", + " coef_alternative_specific_constant_for_outboun...\n", + " coef_alternative_specific_constant_for_outboun...\n", + " coef_alternative_specific_constant_for_outboun...\n", " \n", " \n", " 40\n", @@ -1208,19 +1260,19 @@ " NaN\n", " coef_alternative_specific_constant_for_return_...\n", " coef_alternative_specific_constant_for_return_...\n", - " -2.139\n", + " coef_alternative_specific_constant_for_return_...\n", " NaN\n", " coef_alternative_specific_constant_for_return_...\n", " coef_alternative_specific_constant_for_return_...\n", - " -2.139\n", + " coef_alternative_specific_constant_for_return_...\n", " NaN\n", " coef_alternative_specific_constant_for_return_...\n", " coef_alternative_specific_constant_for_return_...\n", - " -2.139\n", + " coef_alternative_specific_constant_for_return_...\n", " NaN\n", " coef_alternative_specific_constant_for_return_...\n", " coef_alternative_specific_constant_for_return_...\n", - " -2.139\n", + " coef_alternative_specific_constant_for_return_...\n", " \n", " \n", " 41\n", @@ -1537,7 +1589,7 @@ "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", "39 NaN \n", - "40 -2.139 \n", + "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", "\n", @@ -1717,7 +1769,7 @@ "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", "39 coef_alternative_specific_constant_for_outboun... \n", - "40 -2.139 \n", + "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", "\n", @@ -1897,7 +1949,7 @@ "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", "39 coef_alternative_specific_constant_for_outboun... \n", - "40 -2.139 \n", + "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", "\n", @@ -1941,7 +1993,7 @@ "36 coef_dummy_for_distance_less_than_20_miles \n", "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", - "39 -3.934 \n", + "39 coef_alternative_specific_constant_for_outboun... \n", "40 NaN \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", @@ -1986,7 +2038,7 @@ "36 coef_dummy_for_distance_less_than_20_miles \n", "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", - "39 -3.934 \n", + "39 coef_alternative_specific_constant_for_outboun... \n", "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", @@ -2031,7 +2083,7 @@ "36 coef_dummy_for_distance_less_than_20_miles \n", "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", - "39 -3.934 \n", + "39 coef_alternative_specific_constant_for_outboun... \n", "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour \n", @@ -2076,8 +2128,8 @@ "36 coef_dummy_for_distance_less_than_20_miles \n", "37 coef_dummy_for_distance_in_miles \n", "38 coef_no_stops_if_tour_mode_is_drivetransit \n", - "39 -3.934 \n", - "40 -2.139 \n", + "39 coef_alternative_specific_constant_for_outboun... \n", + "40 coef_alternative_specific_constant_for_return_... \n", "41 coef_alternative_specific_constant_for_the_tot... \n", "42 coef_number_of_subtours_in_the_tour " ] @@ -2175,9 +2227,9 @@ " \n", " \n", " \n", - " 2961920\n", - " 0out_0in\n", - " 0out_0in\n", + " 2966594\n", + " 0out_1in\n", + " 0out_1in\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2191,17 +2243,17 @@ " False\n", " 0\n", " 0\n", + " 1\n", " 0\n", " 0\n", - " 0\n", - " 6.859067\n", - " 7.751024\n", - " 0\n", + " 6.446184\n", + " 6.869385\n", + " 1\n", " \n", " \n", - " 2970120\n", - " 2out_1in\n", - " 2out_1in\n", + " 2967783\n", + " 0out_0in\n", + " 0out_0in\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2218,12 +2270,12 @@ " 0\n", " 0\n", " 0\n", - " 0.000000\n", - " 0.000000\n", - " 1\n", + " 6.384615\n", + " 7.341247\n", + " 0\n", " \n", " \n", - " 2998943\n", + " 2968726\n", " 0out_0in\n", " 0out_0in\n", " 0.0\n", @@ -2236,19 +2288,19 @@ " 0.0\n", " ...\n", " False\n", - " False\n", + " True\n", " 0\n", " 0\n", - " 1\n", " 0\n", " 0\n", - " 6.024261\n", - " 7.519040\n", - " 2\n", + " 0\n", + " 5.447277\n", + " 6.565208\n", + " 1\n", " \n", " \n", - " 3013252\n", - " 0out_0in\n", + " 2970858\n", + " 1out_1in\n", " 0out_0in\n", " 0.0\n", " 0.0\n", @@ -2266,12 +2318,12 @@ " 0\n", " 0\n", " 0\n", - " 5.672122\n", - " 6.595380\n", + " 6.787018\n", + " 7.692237\n", " 1\n", " \n", " \n", - " 3015794\n", + " 2973728\n", " 0out_0in\n", " 0out_0in\n", " 0.0\n", @@ -2290,8 +2342,8 @@ " 0\n", " 0\n", " 0\n", - " 6.252582\n", - " 5.865708\n", + " 6.611336\n", + " 5.693881\n", " 3\n", " \n", " \n", @@ -2319,38 +2371,38 @@ " ...\n", " \n", " \n", - " 308070309\n", - " 0out_0in\n", + " 309081532\n", + " 2out_0in\n", " 0out_0in\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1.0\n", - " 0.0\n", + " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " ...\n", " False\n", - " True\n", - " 0\n", + " False\n", " 0\n", " 0\n", " 0\n", " 0\n", - " 8.181251\n", - " 8.326834\n", " 0\n", + " 4.619027\n", + " 6.475182\n", + " 3\n", " \n", " \n", - " 308073875\n", - " 1out_0in\n", - " 1out_0in\n", + " 309090634\n", + " 0out_1in\n", + " 0out_0in\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1.0\n", - " 1.0\n", + " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2362,14 +2414,14 @@ " 0\n", " 0\n", " 0\n", - " 0.000000\n", - " 0.000000\n", - " 2\n", + " 4.800090\n", + " 6.198316\n", + " 1\n", " \n", " \n", - " 308090603\n", - " 0out_0in\n", + " 309101950\n", " 0out_0in\n", + " 1out_1in\n", " 0.0\n", " 0.0\n", " 0.0\n", @@ -2386,22 +2438,22 @@ " 0\n", " 0\n", " 0\n", - " 7.629996\n", - " 7.282405\n", + " 0.000000\n", + " 0.000000\n", " 1\n", " \n", " \n", - " 308105896\n", + " 309107362\n", " 0out_0in\n", " 0out_0in\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1.0\n", - " 0.0\n", " 1.0\n", " 0.0\n", " 0.0\n", + " 0.0\n", " ...\n", " False\n", " False\n", @@ -2410,181 +2462,181 @@ " 0\n", " 0\n", " 0\n", - " 7.149388\n", - " 6.679189\n", - " 2\n", + " 0.000000\n", + " 0.000000\n", + " 4\n", " \n", " \n", - " 308122624\n", + " 309112036\n", " 0out_0in\n", " 0out_0in\n", " 0.0\n", " 0.0\n", " 0.0\n", " 1.0\n", - " 0.0\n", " 1.0\n", " 0.0\n", " 0.0\n", + " 0.0\n", " ...\n", " False\n", " False\n", " 0\n", " 0\n", + " 1\n", " 0\n", " 0\n", - " 0\n", - " 5.117139\n", - " 7.355598\n", - " 0\n", + " 0.000000\n", + " 0.000000\n", + " 4\n", " \n", " \n", "\n", - "

2124 rows × 220 columns

\n", + "

22637 rows × 220 columns

\n", "" ], "text/plain": [ " model_choice override_choice util_middle_to_low_income_hh \\\n", "tour_id \n", - "2961920 0out_0in 0out_0in 0.0 \n", - "2970120 2out_1in 2out_1in 0.0 \n", - "2998943 0out_0in 0out_0in 0.0 \n", - "3013252 0out_0in 0out_0in 0.0 \n", - "3015794 0out_0in 0out_0in 0.0 \n", + "2966594 0out_1in 0out_1in 0.0 \n", + "2967783 0out_0in 0out_0in 0.0 \n", + "2968726 0out_0in 0out_0in 0.0 \n", + "2970858 1out_1in 0out_0in 0.0 \n", + "2973728 0out_0in 0out_0in 0.0 \n", "... ... ... ... \n", - "308070309 0out_0in 0out_0in 0.0 \n", - "308073875 1out_0in 1out_0in 0.0 \n", - "308090603 0out_0in 0out_0in 0.0 \n", - "308105896 0out_0in 0out_0in 0.0 \n", - "308122624 0out_0in 0out_0in 0.0 \n", + "309081532 2out_0in 0out_0in 0.0 \n", + "309090634 0out_1in 0out_0in 0.0 \n", + "309101950 0out_0in 1out_1in 0.0 \n", + "309107362 0out_0in 0out_0in 0.0 \n", + "309112036 0out_0in 0out_0in 0.0 \n", "\n", " util_mid_to_high_income_hh util_high_income_hh \\\n", "tour_id \n", - "2961920 0.0 0.0 \n", - "2970120 0.0 0.0 \n", - "2998943 0.0 0.0 \n", - "3013252 0.0 0.0 \n", - "3015794 0.0 0.0 \n", + "2966594 0.0 0.0 \n", + "2967783 0.0 0.0 \n", + "2968726 0.0 0.0 \n", + "2970858 0.0 0.0 \n", + "2973728 0.0 0.0 \n", "... ... ... \n", - "308070309 0.0 0.0 \n", - "308073875 0.0 0.0 \n", - "308090603 0.0 0.0 \n", - "308105896 0.0 0.0 \n", - "308122624 0.0 0.0 \n", + "309081532 0.0 0.0 \n", + "309090634 0.0 0.0 \n", + "309101950 0.0 0.0 \n", + "309107362 0.0 0.0 \n", + "309112036 0.0 0.0 \n", "\n", " util_number_of_hh_persons util_number_of_full_time_workers_in_hh \\\n", "tour_id \n", - "2961920 1.0 1.0 \n", - "2970120 1.0 1.0 \n", - "2998943 1.0 1.0 \n", - "3013252 1.0 1.0 \n", - "3015794 1.0 0.0 \n", + "2966594 1.0 1.0 \n", + "2967783 1.0 1.0 \n", + "2968726 1.0 1.0 \n", + "2970858 1.0 1.0 \n", + "2973728 1.0 0.0 \n", "... ... ... \n", - "308070309 1.0 0.0 \n", - "308073875 1.0 1.0 \n", - "308090603 1.0 1.0 \n", - "308105896 1.0 0.0 \n", - "308122624 1.0 0.0 \n", + "309081532 1.0 1.0 \n", + "309090634 1.0 0.0 \n", + "309101950 1.0 1.0 \n", + "309107362 1.0 1.0 \n", + "309112036 1.0 1.0 \n", "\n", " util_number_of_students_in_hh \\\n", "tour_id \n", - "2961920 0.0 \n", - "2970120 0.0 \n", - "2998943 0.0 \n", - "3013252 0.0 \n", - "3015794 0.0 \n", + "2966594 0.0 \n", + "2967783 0.0 \n", + "2968726 0.0 \n", + "2970858 0.0 \n", + "2973728 0.0 \n", "... ... \n", - "308070309 0.0 \n", - "308073875 0.0 \n", - "308090603 0.0 \n", - "308105896 1.0 \n", - "308122624 1.0 \n", + "309081532 0.0 \n", + "309090634 0.0 \n", + "309101950 0.0 \n", + "309107362 0.0 \n", + "309112036 0.0 \n", "\n", " util_num_kids_between_0_and_4_including_years_old \\\n", "tour_id \n", - "2961920 0.0 \n", - "2970120 0.0 \n", - "2998943 0.0 \n", - "3013252 0.0 \n", - "3015794 0.0 \n", + "2966594 0.0 \n", + "2967783 0.0 \n", + "2968726 0.0 \n", + "2970858 0.0 \n", + "2973728 0.0 \n", "... ... \n", - "308070309 0.0 \n", - "308073875 0.0 \n", - "308090603 0.0 \n", - "308105896 0.0 \n", - "308122624 0.0 \n", + "309081532 0.0 \n", + "309090634 0.0 \n", + "309101950 0.0 \n", + "309107362 0.0 \n", + "309112036 0.0 \n", "\n", " util_presence_of_kids_between_0_and_4_including_years_old ... \\\n", "tour_id ... \n", - "2961920 0.0 ... \n", - "2970120 0.0 ... \n", - "2998943 0.0 ... \n", - "3013252 0.0 ... \n", - "3015794 0.0 ... \n", + "2966594 0.0 ... \n", + "2967783 0.0 ... \n", + "2968726 0.0 ... \n", + "2970858 0.0 ... \n", + "2973728 0.0 ... \n", "... ... ... \n", - "308070309 0.0 ... \n", - "308073875 0.0 ... \n", - "308090603 0.0 ... \n", - "308105896 0.0 ... \n", - "308122624 0.0 ... \n", + "309081532 0.0 ... \n", + "309090634 0.0 ... \n", + "309101950 0.0 ... \n", + "309107362 0.0 ... \n", + "309112036 0.0 ... \n", "\n", " tour_mode_is_drive_transit tour_mode_is_non_motorized \\\n", "tour_id \n", - "2961920 False False \n", - "2970120 False False \n", - "2998943 False False \n", - "3013252 False False \n", - "3015794 False False \n", + "2966594 False False \n", + "2967783 False False \n", + "2968726 False True \n", + "2970858 False False \n", + "2973728 False False \n", "... ... ... \n", - "308070309 False True \n", - "308073875 False False \n", - "308090603 False False \n", - "308105896 False False \n", - "308122624 False False \n", + "309081532 False False \n", + "309090634 False False \n", + "309101950 False False \n", + "309107362 False False \n", + "309112036 False False \n", "\n", " num_school_tours num_univ_tours num_atwork_subtours \\\n", "tour_id \n", - "2961920 0 0 0 \n", - "2970120 0 0 0 \n", - "2998943 0 0 1 \n", - "3013252 0 0 0 \n", - "3015794 0 0 0 \n", + "2966594 0 0 1 \n", + "2967783 0 0 0 \n", + "2968726 0 0 0 \n", + "2970858 0 0 0 \n", + "2973728 0 0 0 \n", "... ... ... ... \n", - "308070309 0 0 0 \n", - "308073875 0 0 0 \n", - "308090603 0 0 0 \n", - "308105896 0 0 0 \n", - "308122624 0 0 0 \n", + "309081532 0 0 0 \n", + "309090634 0 0 0 \n", + "309101950 0 0 0 \n", + "309107362 0 0 0 \n", + "309112036 0 0 1 \n", "\n", " num_hh_shop_tours num_hh_maint_tours hhacc pracc \\\n", "tour_id \n", - "2961920 0 0 6.859067 7.751024 \n", - "2970120 0 0 0.000000 0.000000 \n", - "2998943 0 0 6.024261 7.519040 \n", - "3013252 0 0 5.672122 6.595380 \n", - "3015794 0 0 6.252582 5.865708 \n", + "2966594 0 0 6.446184 6.869385 \n", + "2967783 0 0 6.384615 7.341247 \n", + "2968726 0 0 5.447277 6.565208 \n", + "2970858 0 0 6.787018 7.692237 \n", + "2973728 0 0 6.611336 5.693881 \n", "... ... ... ... ... \n", - "308070309 0 0 8.181251 8.326834 \n", - "308073875 0 0 0.000000 0.000000 \n", - "308090603 0 0 7.629996 7.282405 \n", - "308105896 0 0 7.149388 6.679189 \n", - "308122624 0 0 5.117139 7.355598 \n", + "309081532 0 0 4.619027 6.475182 \n", + "309090634 0 0 4.800090 6.198316 \n", + "309101950 0 0 0.000000 0.000000 \n", + "309107362 0 0 0.000000 0.000000 \n", + "309112036 0 0 0.000000 0.000000 \n", "\n", " destination_area_type \n", "tour_id \n", - "2961920 0 \n", - "2970120 1 \n", - "2998943 2 \n", - "3013252 1 \n", - "3015794 3 \n", + "2966594 1 \n", + "2967783 0 \n", + "2968726 1 \n", + "2970858 1 \n", + "2973728 3 \n", "... ... \n", - "308070309 0 \n", - "308073875 2 \n", - "308090603 1 \n", - "308105896 2 \n", - "308122624 0 \n", + "309081532 3 \n", + "309090634 1 \n", + "309101950 1 \n", + "309107362 4 \n", + "309112036 4 \n", "\n", - "[2124 rows x 220 columns]" + "[22637 rows x 220 columns]" ] }, "execution_count": 7, @@ -2610,26 +2662,10 @@ "execution_count": 8, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ - "

Iteration 130 [Optimization terminated successfully]

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Iteration 081 [Optimization terminated successfully]

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Best LL = -6094.555918549999

" + "

Best LL = -78188.35046478933

" ], "text/plain": [ "" @@ -2672,70 +2708,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " -2.139\n", - " -2.139000\n", - " -2.139\n", - " -2.139\n", - " -2.139\n", - " -2.139\n", - " 1\n", - " \n", - " -2.139000\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in\n", + " -0.817659\n", + " -0.817659\n", + " -0.833\n", + " -inf\n", + " inf\n", + " 0.0\n", + " 0\n", " \n", " \n", - " -3.934\n", - " -3.934000\n", - " -3.934\n", - " -3.934\n", - " -3.934\n", - " -3.934\n", - " 1\n", - " \n", - " -3.934000\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork\n", + " -3.857785\n", + " -3.857785\n", + " -3.896\n", + " -inf\n", + " inf\n", + " 0.0\n", + " 0\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in\n", - " -0.741225\n", - " -0.833\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout\n", + " -2.243908\n", + " -2.243908\n", + " -2.190\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " -0.741225\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in\n", - " -2.594489\n", - " -2.613\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort\n", + " -2.254734\n", + " -2.254734\n", + " -2.173\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " -2.594489\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in\n", - " -0.447476\n", - " -0.445\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr\n", + " -1.509245\n", + " -1.509245\n", + " -1.581\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " -0.447476\n", " \n", " \n", " ...\n", @@ -2746,122 +2786,120 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", " coef_primary_destination_accessibility_log_of_it_\n", - " 0.170704\n", + " 0.191205\n", + " 0.191205\n", " 0.180\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " 0.170704\n", " \n", " \n", " coef_subtour_departure_less_than_or_equal_to_11am\n", - " 0.266339\n", + " 0.352247\n", + " 0.352247\n", " 0.310\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " 0.266339\n", " \n", " \n", " coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_\n", - " -0.152384\n", + " 0.023141\n", + " 0.023141\n", " 0.020\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " -0.152384\n", " \n", " \n", " coef_subtour_duration_in_hours_integer_\n", - " 0.681811\n", + " 0.555413\n", + " 0.555413\n", " 0.560\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " 0.681811\n", " \n", " \n", " coef_subtour_return_time_greater_or_equal_to_2pm\n", - " 1.549569\n", + " 0.206446\n", + " 0.206446\n", " 0.340\n", - " 0.000\n", - " NaN\n", - " NaN\n", + " -inf\n", + " inf\n", + " 0.0\n", " 0\n", - " \n", - " 1.549569\n", " \n", " \n", "\n", - "

188 rows × 8 columns

\n", + "

188 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue \\\n", - "-2.139 -2.139000 -2.139 \n", - "-3.934 -3.934000 -3.934 \n", - "coef_alternative_specific_constant_for_outbound... -0.741225 -0.833 \n", - "coef_alternative_specific_constant_for_outbound... -2.594489 -2.613 \n", - "coef_alternative_specific_constant_for_return_s... -0.447476 -0.445 \n", - "... ... ... \n", - "coef_primary_destination_accessibility_log_of_it_ 0.170704 0.180 \n", - "coef_subtour_departure_less_than_or_equal_to_11am 0.266339 0.310 \n", - "coef_subtour_distance_in_miles_from_tour_destin... -0.152384 0.020 \n", - "coef_subtour_duration_in_hours_integer_ 0.681811 0.560 \n", - "coef_subtour_return_time_greater_or_equal_to_2pm 1.549569 0.340 \n", + " value best \\\n", + "param_name \n", + "coef_alternative_specific_constant_for_outbound... -0.817659 -0.817659 \n", + "coef_alternative_specific_constant_for_outbound... -3.857785 -3.857785 \n", + "coef_alternative_specific_constant_for_outbound... -2.243908 -2.243908 \n", + "coef_alternative_specific_constant_for_outbound... -2.254734 -2.254734 \n", + "coef_alternative_specific_constant_for_outbound... -1.509245 -1.509245 \n", + "... ... ... \n", + "coef_primary_destination_accessibility_log_of_it_ 0.191205 0.191205 \n", + "coef_subtour_departure_less_than_or_equal_to_11am 0.352247 0.352247 \n", + "coef_subtour_distance_in_miles_from_tour_destin... 0.023141 0.023141 \n", + "coef_subtour_duration_in_hours_integer_ 0.555413 0.555413 \n", + "coef_subtour_return_time_greater_or_equal_to_2pm 0.206446 0.206446 \n", "\n", - " nullvalue minimum \\\n", - "-2.139 -2.139 -2.139 \n", - "-3.934 -3.934 -3.934 \n", - "coef_alternative_specific_constant_for_outbound... 0.000 NaN \n", - "coef_alternative_specific_constant_for_outbound... 0.000 NaN \n", - "coef_alternative_specific_constant_for_return_s... 0.000 NaN \n", + " initvalue minimum \\\n", + "param_name \n", + "coef_alternative_specific_constant_for_outbound... -0.833 -inf \n", + "coef_alternative_specific_constant_for_outbound... -3.896 -inf \n", + "coef_alternative_specific_constant_for_outbound... -2.190 -inf \n", + "coef_alternative_specific_constant_for_outbound... -2.173 -inf \n", + "coef_alternative_specific_constant_for_outbound... -1.581 -inf \n", "... ... ... \n", - "coef_primary_destination_accessibility_log_of_it_ 0.000 NaN \n", - "coef_subtour_departure_less_than_or_equal_to_11am 0.000 NaN \n", - "coef_subtour_distance_in_miles_from_tour_destin... 0.000 NaN \n", - "coef_subtour_duration_in_hours_integer_ 0.000 NaN \n", - "coef_subtour_return_time_greater_or_equal_to_2pm 0.000 NaN \n", + "coef_primary_destination_accessibility_log_of_it_ 0.180 -inf \n", + "coef_subtour_departure_less_than_or_equal_to_11am 0.310 -inf \n", + "coef_subtour_distance_in_miles_from_tour_destin... 0.020 -inf \n", + "coef_subtour_duration_in_hours_integer_ 0.560 -inf \n", + "coef_subtour_return_time_greater_or_equal_to_2pm 0.340 -inf \n", "\n", - " maximum holdfast note \\\n", - "-2.139 -2.139 1 \n", - "-3.934 -3.934 1 \n", - "coef_alternative_specific_constant_for_outbound... NaN 0 \n", - "coef_alternative_specific_constant_for_outbound... NaN 0 \n", - "coef_alternative_specific_constant_for_return_s... NaN 0 \n", - "... ... ... ... \n", - "coef_primary_destination_accessibility_log_of_it_ NaN 0 \n", - "coef_subtour_departure_less_than_or_equal_to_11am NaN 0 \n", - "coef_subtour_distance_in_miles_from_tour_destin... NaN 0 \n", - "coef_subtour_duration_in_hours_integer_ NaN 0 \n", - "coef_subtour_return_time_greater_or_equal_to_2pm NaN 0 \n", + " maximum nullvalue \\\n", + "param_name \n", + "coef_alternative_specific_constant_for_outbound... inf 0.0 \n", + "coef_alternative_specific_constant_for_outbound... inf 0.0 \n", + "coef_alternative_specific_constant_for_outbound... inf 0.0 \n", + "coef_alternative_specific_constant_for_outbound... inf 0.0 \n", + "coef_alternative_specific_constant_for_outbound... inf 0.0 \n", + "... ... ... \n", + "coef_primary_destination_accessibility_log_of_it_ inf 0.0 \n", + "coef_subtour_departure_less_than_or_equal_to_11am inf 0.0 \n", + "coef_subtour_distance_in_miles_from_tour_destin... inf 0.0 \n", + "coef_subtour_duration_in_hours_integer_ inf 0.0 \n", + "coef_subtour_return_time_greater_or_equal_to_2pm inf 0.0 \n", "\n", - " best \n", - "-2.139 -2.139000 \n", - "-3.934 -3.934000 \n", - "coef_alternative_specific_constant_for_outbound... -0.741225 \n", - "coef_alternative_specific_constant_for_outbound... -2.594489 \n", - "coef_alternative_specific_constant_for_return_s... -0.447476 \n", + " holdfast \n", + "param_name \n", + "coef_alternative_specific_constant_for_outbound... 0 \n", + "coef_alternative_specific_constant_for_outbound... 0 \n", + "coef_alternative_specific_constant_for_outbound... 0 \n", + "coef_alternative_specific_constant_for_outbound... 0 \n", + "coef_alternative_specific_constant_for_outbound... 0 \n", "... ... \n", - "coef_primary_destination_accessibility_log_of_it_ 0.170704 \n", - "coef_subtour_departure_less_than_or_equal_to_11am 0.266339 \n", - "coef_subtour_distance_in_miles_from_tour_destin... -0.152384 \n", - "coef_subtour_duration_in_hours_integer_ 0.681811 \n", - "coef_subtour_return_time_greater_or_equal_to_2pm 1.549569 \n", + "coef_primary_destination_accessibility_log_of_it_ 0 \n", + "coef_subtour_departure_less_than_or_equal_to_11am 0 \n", + "coef_subtour_distance_in_miles_from_tour_destin... 0 \n", + "coef_subtour_duration_in_hours_integer_ 0 \n", + "coef_subtour_return_time_greater_or_equal_to_2pm 0 \n", "\n", - "[188 rows x 8 columns]" + "[188 rows x 7 columns]" ] }, "metadata": {}, @@ -2871,10 +2909,9 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='SLSQP', options={\"maxiter\": 1000})\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 3.0254868525048906e-31 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/optimization.py:338: UserWarning: SLSQP may not play nicely with unbounded parameters\n", + "if you get poor results, consider setting global bounds with model.set_cap()\n", + " warnings.warn( # infinite bounds # )\n" ] }, { @@ -2889,3290 +2926,3126 @@ " \n", " \n", " \n", - " -2.139\n", - " -2.139000\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in\n", + " -0.817659\n", " \n", " \n", - " -3.934\n", - " -3.934000\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork\n", + " -3.857785\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in\n", - " -0.741225\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout\n", + " -2.243908\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in\n", - " -2.594489\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort\n", + " -2.254734\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in\n", - " -0.447476\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr\n", + " -1.509245\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in\n", - " -1.657817\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint\n", + " -1.850181\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in\n", - " 0.039441\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_school\n", + " -2.103501\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in\n", - " 0.754748\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping\n", + " -1.374719\n", " \n", " \n", - " coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours\n", - " -1.998832\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_social\n", + " -1.100007\n", " \n", " \n", - " coef_dummy_for_all_stops_made_by_transit\n", - " -0.672704\n", + " coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ\n", + " -2.583745\n", " \n", " \n", - " coef_dummy_for_distance_in_miles\n", - " 0.043974\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in\n", + " -2.553493\n", " \n", " \n", - " coef_dummy_for_distance_less_than_20_miles\n", - " -0.588175\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork\n", + " -5.670203\n", " \n", " \n", - " coef_dummy_for_female\n", - " 0.282632\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout\n", + " -4.501523\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours\n", - " 0.713048\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort\n", + " -4.225203\n", " \n", " \n", - " coef_dummy_for_walking_to_all_stops\n", - " -1.491072\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr\n", + " -3.357879\n", " \n", " \n", - " coef_evening_arrival_19_00_interacted_with_return_tours\n", - " 0.606441\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint\n", + " -3.532505\n", " \n", " \n", - " coef_high_income_hh\n", - " 0.240000\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_school\n", + " -3.932072\n", " \n", " \n", - " coef_mid_to_high_income_hh\n", - " 0.230000\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping\n", + " -3.001964\n", " \n", " \n", - " coef_middle_to_low_income_hh\n", - " 0.170000\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_social\n", + " -2.787392\n", " \n", " \n", - " coef_no_stops_if_tour_mode_is_drivetransit\n", - " -999.000000\n", + " coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ\n", + " -3.625877\n", " \n", " \n", - " coef_num_kids_between_5_and_15_including_years_old\n", - " 0.089718\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in\n", + " -3.914672\n", " \n", " \n", - " coef_number_of_adults_16_years_old_\n", - " 0.074203\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_atwork\n", + " -7.451244\n", " \n", " \n", - " coef_number_of_cars_number_of_workers\n", - " -0.065713\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout\n", + " -5.213504\n", " \n", " \n", - " coef_number_of_escort_tours_tours_undertaken_by_the_person\n", - " 0.097792\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort\n", + " -4.713943\n", " \n", " \n", - " coef_number_of_hh_persons\n", - " -0.328159\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr\n", + " -4.262005\n", " \n", " \n", - " coef_number_of_school_tours_tours_undertaken_by_the_person\n", - " 0.130473\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint\n", + " -5.370287\n", " \n", " \n", - " coef_number_of_shop_tours_undertaken_by_the_houshold\n", - " -0.328294\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_school\n", + " -5.865306\n", " \n", " \n", - " coef_number_of_students_in_hh\n", - " 0.315297\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping\n", + " -4.443339\n", " \n", " \n", - " coef_number_of_subtours_in_the_tour\n", - " 0.337091\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_social\n", + " -4.476231\n", " \n", " \n", - " coef_number_of_university_tours_tours_undertaken_by_the_person\n", - " -0.480000\n", + " coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ\n", + " -5.123628\n", " \n", " \n", - " coef_number_of_work_tours_undertaken_by_the_person\n", - " -0.174762\n", + " coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in\n", + " -1.861054\n", " \n", " \n", - " coef_presence_of_kids_between_0_and_4_including_years_old\n", - " 0.557476\n", + " coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in\n", + " -4.027317\n", " \n", " \n", - " coef_presence_of_kids_between_5_and_15_including_years_old\n", - " 0.117544\n", + " coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in\n", + " -5.079709\n", " \n", " \n", - " -2.672\n", - " -2.672000\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in\n", + " -0.422070\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_school\n", - " -1.768772\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_atwork\n", + " -3.667812\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_school\n", - " -4.305875\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_eatout\n", + " -1.667177\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_school\n", - " -6.209404\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_escort\n", + " -0.883632\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_school\n", - " -1.229114\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_othdiscr\n", + " -0.944455\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_3in_school\n", - " -3.185728\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint\n", + " -0.606891\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in\n", - " 1.573277\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_school\n", + " -1.203184\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school\n", - " 2.178796\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_shopping\n", + " -1.155398\n", " \n", " \n", - " coef_arrival_later_than_17_00_\n", - " 1.373657\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_social\n", + " -1.262568\n", " \n", " \n", - " coef_dummy_for_distance_in_miles_school\n", - " 0.092023\n", + " coef_alternative_specific_constant_for_return_stops_0out_1in_univ\n", + " -1.892703\n", " \n", " \n", - " coef_dummy_for_female_school\n", - " 0.687687\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in\n", + " -1.737740\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_\n", - " 1.904120\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_atwork\n", + " -5.352597\n", " \n", " \n", - " coef_dummy_for_walking_to_all_stops_school\n", - " -1.525112\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_eatout\n", + " -3.384664\n", " \n", " \n", - " coef_number_of_cars_number_of_workers_school\n", - " 0.282408\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_escort\n", + " -2.356788\n", " \n", " \n", - " coef_number_of_escort_tours_tours_undertaken_by_the_person_school\n", - " 2.320226\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr\n", + " -2.247941\n", " \n", " \n", - " coef_number_of_hh_persons_school\n", - " -0.602730\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint\n", + " -1.549591\n", " \n", " \n", - " coef_presence_of_kids_between_5_and_15_including_years_old_school\n", - " 0.021083\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_school\n", + " -2.618009\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ\n", - " -2.211722\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_shopping\n", + " -2.252362\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ\n", - " -4.042853\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_social\n", + " -2.751879\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ\n", - " -4.641257\n", + " coef_alternative_specific_constant_for_return_stops_0out_2in_univ\n", + " -3.564173\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_univ\n", - " -1.574239\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in\n", + " -2.056255\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_univ\n", - " -3.434788\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_atwork\n", + " -6.484627\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_3in_univ\n", - " -3.860338\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_eatout\n", + " -4.733147\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ\n", - " 2.019764\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr\n", + " -2.820768\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ\n", - " 2.117237\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_othmaint\n", + " -2.348697\n", " \n", " \n", - " coef_arrival_later_than_17_00__univ\n", - " 0.397767\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_school\n", + " -3.360598\n", " \n", " \n", - " coef_dummy_for_female_univ\n", - " 0.527348\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_shopping\n", + " -3.086157\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ\n", - " 1.086324\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_social\n", + " -3.617917\n", " \n", " \n", - " coef_hh_accesibility_for_inbound_tours_interaction\n", - " 0.243672\n", + " coef_alternative_specific_constant_for_return_stops_0out_3in_univ\n", + " -3.549561\n", " \n", " \n", - " coef_number_of_escort_tours_tours_undertaken_by_the_person_univ\n", - " 1.858956\n", + " coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in\n", + " -1.349229\n", " \n", " \n", - " coef_number_of_hh_persons_univ\n", - " -0.326432\n", + " coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in\n", + " -3.006175\n", " \n", " \n", - " coef_number_of_vehicles\n", - " 0.265859\n", + " coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in\n", + " -3.092591\n", " \n", " \n", - " coef_presence_of_kids_between_5_and_15_including_years_old_univ\n", - " -0.061482\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in\n", + " -0.033904\n", " \n", " \n", - " -1.783\n", - " -1.783000\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in\n", + " 0.619994\n", " \n", " \n", - " -2.874\n", - " -2.874000\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork\n", + " 2.196478\n", " \n", " \n", - " -3.379\n", - " -3.379000\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout\n", + " 0.956558\n", " \n", " \n", - " 1.497\n", - " 1.497000\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr\n", + " 0.779563\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_social\n", - " -1.292414\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint\n", + " 0.525190\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_social\n", - " -42.649173\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping\n", + " 0.518875\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in\n", - " -4.158467\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social\n", + " 0.620383\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in\n", - " -28.920114\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ\n", + " 1.218010\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_social\n", - " 0.474303\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in\n", + " 0.555526\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_social\n", - " -2.400345\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout\n", + " 1.979106\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_3in_social\n", - " -3.106704\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort\n", + " -1.796251\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in\n", - " -1.489538\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othdiscr\n", + " 1.148950\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in\n", - " -3.529456\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint\n", + " 0.489201\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social\n", - " 2.605627\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school\n", + " 1.203689\n", + " \n", + " \n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping\n", + " 0.411626\n", " \n", " \n", " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social\n", - " -9.808088\n", + " 0.866347\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in\n", - " -0.168353\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ\n", + " 1.958267\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in\n", - " -26.078121\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in\n", + " -0.057283\n", " \n", " \n", - " coef_arrival_later_than_17_00__social\n", - " -0.470057\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in\n", + " 0.608179\n", " \n", " \n", - " coef_at_least_one_kid_and_one_adult_participate_in_the_tour\n", - " 2.116069\n", + " coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in\n", + " 1.429603\n", " \n", " \n", - " coef_dummy_for_a_return_visiting_tour\n", - " -1.746712\n", + " coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours\n", + " -1.913742\n", " \n", " \n", - " coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg\n", - " 0.344025\n", + " coef_arrival_later_than_17_00_\n", + " 1.839504\n", " \n", " \n", - " coef_dummy_for_an_outbound_visiting_tour\n", - " -0.742278\n", + " coef_arrival_later_than_17_00__othdiscr\n", + " -0.637546\n", " \n", " \n", - " coef_dummy_for_distance_in_miles_social\n", - " -0.078778\n", + " coef_arrival_later_than_17_00__social\n", + " -0.708359\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_\n", - " 1.141918\n", + " coef_arrival_later_than_17_00__univ\n", + " 0.352924\n", " \n", " \n", - " coef_dummy_for_walking_to_all_stops_social\n", - " -2.087075\n", + " coef_at_least_one_kid_and_one_adult_participate_in_the_tour\n", + " 0.598380\n", " \n", " \n", - " coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction\n", - " -0.027490\n", + " coef_dummy_for_a_return_visiting_tour\n", + " -0.542418\n", " \n", " \n", - " coef_number_of_shop_tours_undertaken_by_the_person\n", - " -0.177893\n", + " coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg\n", + " 0.637918\n", " \n", " \n", - " coef_number_of_vehicles_social\n", - " -0.154123\n", + " coef_dummy_for_all_stops_made_by_transit\n", + " -0.698140\n", " \n", " \n", - " coef_number_of_work_tours_undertaken_by_the_person_social\n", - " -0.010226\n", + " coef_dummy_for_an_outbound_visiting_tour\n", + " -0.547383\n", " \n", " \n", - " -3.024\n", - " -3.024000\n", + " coef_dummy_for_distance_in_miles\n", + " 0.008199\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping\n", - " -1.491871\n", + " coef_dummy_for_distance_in_miles_othdiscr\n", + " -0.016398\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping\n", - " -3.340709\n", + " coef_dummy_for_distance_in_miles_othmaint\n", + " 0.024622\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping\n", - " -4.537979\n", + " coef_dummy_for_distance_in_miles_school\n", + " 0.048727\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_shopping\n", - " -1.234250\n", + " coef_dummy_for_distance_in_miles_shopping\n", + " 0.042050\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_shopping\n", - " -2.580404\n", + " coef_dummy_for_distance_in_miles_social\n", + " -0.011161\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping\n", - " 0.585255\n", + " coef_dummy_for_distance_less_than_10_miles_\n", + " 0.311571\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping\n", - " -0.015580\n", + " coef_dummy_for_distance_less_than_20_miles\n", + " -0.209813\n", " \n", " \n", - " coef_dummy_for_distance_in_miles_shopping\n", - " 0.021405\n", + " coef_dummy_for_distance_less_than_20_miles_\n", + " -0.403250\n", " \n", " \n", " coef_dummy_for_distance_less_than_5_miles\n", - " 0.152609\n", + " 0.391002\n", " \n", " \n", - " coef_dummy_for_female_shopping\n", - " 0.339336\n", + " coef_dummy_for_distance_less_than_5_miles_escort\n", + " 0.287884\n", " \n", " \n", - " coef_dummy_for_only_adults_participate_in_the_tour\n", - " 1.542207\n", + " coef_dummy_for_female\n", + " 0.231116\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping\n", - " 3.102092\n", + " coef_dummy_for_female_othmaint\n", + " 0.298798\n", " \n", " \n", - " coef_dummy_for_walking_to_all_stops_shopping\n", - " -1.883904\n", + " coef_dummy_for_female_school\n", + " 0.518603\n", " \n", " \n", - " coef_num_kids_between_5_and_15_including_years_old_shopping\n", - " -0.047846\n", + " coef_dummy_for_female_shopping\n", + " 0.199726\n", " \n", " \n", - " coef_number_of_hh_persons_shopping\n", - " -0.086986\n", + " coef_dummy_for_female_univ\n", + " 0.539334\n", " \n", " \n", - " coef_number_of_maintenace_tours_tours_undertaken_by_the_person\n", - " -0.325799\n", + " coef_dummy_for_only_adults_participate_in_the_tour\n", + " 0.241206\n", " \n", " \n", - " coef_number_of_shop_tours_undertaken_by_the_houshold_shopping\n", - " 0.147901\n", + " coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_\n", + " 0.270000\n", " \n", " \n", - " coef_number_of_university_tours_tours_undertaken_by_the_person_shopping\n", - " -0.670900\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours\n", + " 0.629566\n", " \n", " \n", - " coef_number_of_work_tours_undertaken_by_the_person_shopping\n", - " -0.437195\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_\n", + " 1.296845\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout\n", - " -1.879526\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_\n", + " 0.935859\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout\n", - " -32.613372\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort\n", + " 0.468894\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout\n", - " -3.738703\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr\n", + " 0.843539\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_eatout\n", - " -1.687121\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint\n", + " 0.103716\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_eatout\n", - " -3.033355\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping\n", + " 1.035541\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_3in_eatout\n", - " -4.837278\n", + " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ\n", + " 0.771998\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout\n", - " -31.986519\n", + " coef_dummy_for_walking_to_all_stops\n", + " -1.590379\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout\n", - " -30.916248\n", + " coef_dummy_for_walking_to_all_stops_escort\n", + " -2.041910\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort\n", - " -2.225477\n", + " coef_dummy_for_walking_to_all_stops_othdiscr\n", + " -2.338073\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort\n", - " -4.857476\n", + " coef_dummy_for_walking_to_all_stops_othmaint\n", + " -1.321421\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort\n", - " -4.792453\n", + " coef_dummy_for_walking_to_all_stops_school\n", + " -2.074837\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_escort\n", - " -1.279087\n", + " coef_dummy_for_walking_to_all_stops_shopping\n", + " -1.462311\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_escort\n", - " -2.459341\n", + " coef_dummy_for_walking_to_all_stops_social\n", + " -1.649814\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort\n", - " -12.346112\n", + " coef_evening_arrival_19_00_interacted_with_return_tours\n", + " 0.297829\n", " \n", " \n", - " coef_dummy_for_distance_less_than_5_miles_escort\n", - " 0.269808\n", + " coef_hh_accesibility_for_inbound_tours_interaction\n", + " 0.258426\n", " \n", " \n", 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coef_num_kids_between_5_and_15_including_years_old\n", + " 0.083356\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint\n", - " -2.122249\n", + " coef_num_kids_between_5_and_15_including_years_old_shopping\n", + " 0.033141\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint\n", - " -3.470020\n", + " coef_number_of_adults_16_years_old_\n", + " 0.006177\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint\n", - " -4.230867\n", + " coef_number_of_cars_number_of_workers\n", + " 0.195317\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint\n", - " -0.833758\n", + " coef_number_of_cars_number_of_workers_school\n", + " 0.630311\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint\n", - " -1.186628\n", + " coef_number_of_eating_tours_tours_undertaken_by_the_person\n", + " -0.424859\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint\n", - " 0.315206\n", + " coef_number_of_escort_tours_tours_undertaken_by_the_person\n", + " 0.285502\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint\n", - " -31.005508\n", + " coef_number_of_escort_tours_tours_undertaken_by_the_person_escort\n", + " -0.077934\n", " \n", " \n", - " coef_dummy_for_distance_in_miles_othmaint\n", - " 0.102023\n", + " coef_number_of_escort_tours_tours_undertaken_by_the_person_school\n", + " 1.290196\n", " \n", " \n", - " coef_dummy_for_distance_less_than_20_miles_\n", - " -0.621770\n", + " coef_number_of_escort_tours_tours_undertaken_by_the_person_univ\n", + " 0.984566\n", " \n", " \n", - " coef_dummy_for_female_othmaint\n", - " 0.281419\n", + " coef_number_of_hh_persons\n", + " -0.291501\n", " \n", " \n", - " coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint\n", - " 0.168631\n", + " coef_number_of_hh_persons_escort\n", + " -0.289093\n", " \n", " \n", - " coef_dummy_for_walking_to_all_stops_othmaint\n", - " -2.298979\n", + " coef_number_of_hh_persons_school\n", + " -0.521641\n", " \n", " \n", - " coef_middle_to_low_income_hh_\n", - " 0.170000\n", + " coef_number_of_hh_persons_shopping\n", + " -0.164111\n", " \n", " \n", - " coef_number_of_maintenace_tours_undertaken_by_the_houshold\n", - " -0.264644\n", + " coef_number_of_hh_persons_univ\n", + " -0.296528\n", " \n", " \n", - " coef_number_of_persons_participating_in_the_tour_return_stops_interaction\n", - " 0.626322\n", + " coef_number_of_maintenace_tours_tours_undertaken_by_the_person\n", + " -0.281780\n", " \n", " \n", - " coef_number_of_shool_tours_tours_undertaken_by_the_person\n", - " -29.423035\n", + " coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr\n", + " -0.273666\n", " \n", " \n", - " coef_number_of_shop_tours_undertaken_by_the_person_othmaint\n", - " 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coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr\n", - " -2.956642\n", + " coef_number_of_shop_tours_undertaken_by_the_houshold\n", + " 0.194165\n", " \n", " \n", - " coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr\n", - " -4.394706\n", + " coef_number_of_shop_tours_undertaken_by_the_houshold_shopping\n", + " -0.142075\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr\n", - " -2.518386\n", + " coef_number_of_shop_tours_undertaken_by_the_person\n", + " -0.303706\n", " \n", " \n", - " coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr\n", - " -3.024368\n", + " coef_number_of_shop_tours_undertaken_by_the_person_othdiscr\n", + " -0.641366\n", " \n", " \n", - " coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr\n", - " 1.088281\n", + " coef_number_of_shop_tours_undertaken_by_the_person_othmaint\n", + " -0.175208\n", " \n", " \n", - " 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0
coef_alternative_specific_constant_for_outbound_stops_1out_0in1.318164e-07
coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork-3.450424e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout-2.357602e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort7.327103e-06
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr5.830160e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint-1.687364e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_school-1.669586e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping-1.179775e-08
coef_alternative_specific_constant_for_outbound_stops_1out_0in_social1.831328e-05
coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ1.659316e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in3.044727e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork1.175946e-08
coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout1.022786e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort1.105196e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr3.555996e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint-1.893055e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_school3.445422e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping3.263881e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_social-2.496547e-05
coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ1.438293e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in-1.071751e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_atwork-1.888854e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout1.167128e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort1.356432e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr-3.000084e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint1.163413e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_school-2.151305e-06
coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping-1.610268e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_social1.204101e-05
coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ-2.399461e-05
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in1.866585e-05
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in9.984701e-06
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in-2.645255e-05
coef_alternative_specific_constant_for_return_stops_0out_1in-4.708365e-05
coef_alternative_specific_constant_for_return_stops_0out_1in_atwork5.651507e-06
coef_alternative_specific_constant_for_return_stops_0out_1in_eatout1.418406e-06
coef_alternative_specific_constant_for_return_stops_0out_1in_escort-1.108521e-04
coef_alternative_specific_constant_for_return_stops_0out_1in_othdiscr3.754350e-05
coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint-5.058401e-05
coef_alternative_specific_constant_for_return_stops_0out_1in_school-1.317771e-05
coef_alternative_specific_constant_for_return_stops_0out_1in_shopping-1.353818e-05
coef_alternative_specific_constant_for_return_stops_0out_1in_social9.274282e-06
coef_alternative_specific_constant_for_return_stops_0out_1in_univ1.265812e-05
coef_alternative_specific_constant_for_return_stops_0out_2in-1.013444e-04
coef_alternative_specific_constant_for_return_stops_0out_2in_atwork-5.726811e-06
coef_alternative_specific_constant_for_return_stops_0out_2in_eatout2.119117e-06
coef_alternative_specific_constant_for_return_stops_0out_2in_escort7.074619e-05
coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr6.714927e-06
coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint6.821290e-06
coef_alternative_specific_constant_for_return_stops_0out_2in_school2.925330e-05
coef_alternative_specific_constant_for_return_stops_0out_2in_shopping-4.080487e-05
coef_alternative_specific_constant_for_return_stops_0out_2in_social-4.285482e-05
coef_alternative_specific_constant_for_return_stops_0out_2in_univ3.661192e-05
coef_alternative_specific_constant_for_return_stops_0out_3in1.133758e-04
coef_alternative_specific_constant_for_return_stops_0out_3in_atwork9.086276e-06
coef_alternative_specific_constant_for_return_stops_0out_3in_eatout4.586623e-06
coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr2.426809e-05
coef_alternative_specific_constant_for_return_stops_0out_3in_othmaint-2.486703e-05
coef_alternative_specific_constant_for_return_stops_0out_3in_school-2.227797e-05
coef_alternative_specific_constant_for_return_stops_0out_3in_shopping2.495105e-05
coef_alternative_specific_constant_for_return_stops_0out_3in_social-6.029497e-05
coef_alternative_specific_constant_for_return_stops_0out_3in_univ1.155529e-05
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in-3.870571e-06
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in7.661858e-06
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in-4.833521e-06
coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in6.276561e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in-3.395874e-06
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork3.600197e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout4.455986e-07
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr-2.367744e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint-1.442248e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping-8.406942e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social1.283479e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ-1.771563e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in1.798862e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout-2.174096e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort4.005556e-06
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othdiscr-8.102586e-06
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint-7.835219e-06
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school1.969169e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping-1.891110e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social-1.234210e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ1.908165e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in-1.399555e-07
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in1.065266e-05
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in-2.973298e-05
coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours4.011337e-05
coef_arrival_later_than_17_00_9.509009e-06
coef_arrival_later_than_17_00__othdiscr5.323204e-05
coef_arrival_later_than_17_00__social-3.236359e-05
coef_arrival_later_than_17_00__univ6.463924e-06
coef_at_least_one_kid_and_one_adult_participate_in_the_tour5.107909e-05
coef_dummy_for_a_return_visiting_tour3.250338e-05
coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg-2.201652e-05
coef_dummy_for_all_stops_made_by_transit2.881609e-05
coef_dummy_for_an_outbound_visiting_tour6.196096e-06
coef_dummy_for_distance_in_miles9.385043e-06
coef_dummy_for_distance_in_miles_othdiscr-7.834462e-06
coef_dummy_for_distance_in_miles_othmaint4.302748e-05
coef_dummy_for_distance_in_miles_school2.634834e-05
coef_dummy_for_distance_in_miles_shopping-3.883054e-06
coef_dummy_for_distance_in_miles_social-2.876791e-06
coef_dummy_for_distance_less_than_10_miles_8.995802e-05
coef_dummy_for_distance_less_than_20_miles-2.204602e-05
coef_dummy_for_distance_less_than_20_miles_-1.281965e-04
coef_dummy_for_distance_less_than_5_miles-1.119062e-05
coef_dummy_for_distance_less_than_5_miles_escort-1.207377e-05
coef_dummy_for_female-8.480269e-06
coef_dummy_for_female_othmaint-4.926674e-05
coef_dummy_for_female_school1.424463e-05
coef_dummy_for_female_shopping-4.273230e-05
coef_dummy_for_female_univ3.630606e-05
coef_dummy_for_only_adults_participate_in_the_tour1.089846e-05
coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_0.000000e+00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours-4.743285e-05
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_-9.652111e-05
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_1.664266e-05
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort-5.502657e-06
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr-3.421032e-06
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint-2.300422e-05
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping3.276266e-06
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ-1.959322e-05
coef_dummy_for_walking_to_all_stops6.006629e-06
coef_dummy_for_walking_to_all_stops_escort-3.338229e-05
coef_dummy_for_walking_to_all_stops_othdiscr3.003054e-06
coef_dummy_for_walking_to_all_stops_othmaint5.544972e-06
coef_dummy_for_walking_to_all_stops_school5.590612e-05
coef_dummy_for_walking_to_all_stops_shopping-6.986420e-06
coef_dummy_for_walking_to_all_stops_social-1.812323e-05
coef_evening_arrival_19_00_interacted_with_return_tours-1.075717e-04
coef_hh_accesibility_for_inbound_tours_interaction1.545214e-04
coef_high_income_hh0.000000e+00
coef_mid_to_high_income_hh0.000000e+00
coef_middle_to_low_income_hh0.000000e+00
coef_middle_to_low_income_hh_0.000000e+00
coef_middle_to_low_income_hh__atwork1.591693e-05
coef_no_stops_if_tour_mode_is_drivetransit0.000000e+00
coef_num_kids_between_5_and_15_including_years_old1.811798e-04
coef_num_kids_between_5_and_15_including_years_old_shopping-2.177398e-05
coef_number_of_adults_16_years_old_1.607333e-04
coef_number_of_cars_number_of_workers-5.548331e-05
coef_number_of_cars_number_of_workers_school-4.595882e-05
coef_number_of_eating_tours_tours_undertaken_by_the_person-1.221656e-05
coef_number_of_escort_tours_tours_undertaken_by_the_person3.915582e-05
coef_number_of_escort_tours_tours_undertaken_by_the_person_escort-4.632281e-05
coef_number_of_escort_tours_tours_undertaken_by_the_person_school-1.496317e-06
coef_number_of_escort_tours_tours_undertaken_by_the_person_univ5.820883e-06
coef_number_of_hh_persons-9.384152e-05
coef_number_of_hh_persons_escort4.408343e-05
coef_number_of_hh_persons_school-4.397796e-05
coef_number_of_hh_persons_shopping3.401635e-05
coef_number_of_hh_persons_univ-6.991701e-05
coef_number_of_maintenace_tours_tours_undertaken_by_the_person-1.812134e-05
coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr-2.534184e-05
coef_number_of_maintenace_tours_undertaken_by_the_houshold2.050003e-06
coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction6.755108e-06
coef_number_of_persons_participating_in_the_tour_return_stops_interaction-5.553747e-05
coef_number_of_school_tours_tours_undertaken_by_the_person3.616606e-06
coef_number_of_shool_tours_tours_undertaken_by_the_person-4.217392e-05
coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr7.289526e-06
coef_number_of_shop_tours_undertaken_by_the_houshold5.577565e-05
coef_number_of_shop_tours_undertaken_by_the_houshold_shopping1.055865e-05
coef_number_of_shop_tours_undertaken_by_the_person2.191567e-05
coef_number_of_shop_tours_undertaken_by_the_person_othdiscr1.735752e-05
coef_number_of_shop_tours_undertaken_by_the_person_othmaint-1.989246e-05
coef_number_of_students_in_hh-3.900317e-05
coef_number_of_students_in_hh_escort-8.924947e-05
coef_number_of_subtours_in_the_tour-1.634519e-05
coef_number_of_university_tours_tours_undertaken_by_the_person0.000000e+00
coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint0.000000e+00
coef_number_of_university_tours_tours_undertaken_by_the_person_shopping0.000000e+00
coef_number_of_vehicles-6.107892e-05
coef_number_of_vehicles_social4.943979e-05
coef_number_of_work_tours_undertaken_by_the_person-4.194501e-05
coef_number_of_work_tours_undertaken_by_the_person_escort-9.605595e-07
coef_number_of_work_tours_undertaken_by_the_person_othdiscr3.079891e-05
coef_number_of_work_tours_undertaken_by_the_person_othmaint-2.034031e-05
coef_number_of_work_tours_undertaken_by_the_person_shopping-2.318647e-05
coef_number_of_work_tours_undertaken_by_the_person_social-4.019493e-05
coef_presence_of_kids_between_0_and_4_including_years_old-9.532148e-05
coef_presence_of_kids_between_5_and_15_including_years_old1.004783e-04
coef_presence_of_kids_between_5_and_15_including_years_old_school-1.763120e-05
coef_presence_of_kids_between_5_and_15_including_years_old_univ-4.857618e-06
coef_primary_destination_accessibility_log_of_it_0.170704-4.708946e-06
coef_subtour_departure_less_than_or_equal_to_11am0.266339-3.435878e-05
coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_-0.1523849.929553e-05
coef_subtour_duration_in_hours_integer_-1.478819e-04
coef_subtour_return_time_greater_or_equal_to_2pm-2.289188e-05
nit81nfev82njev81status0message'Optimization terminated successfully'successTrueelapsed_time0:00:17.187577method'SLSQP'n_cases69971iteration_number81loglike-78188.35046478933" + ], + "text/plain": [ + "┣ x: coef_alternative_specific_constant_for_outbound_stops_1out_0in -0.817659\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork -3.857785\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout -2.243908\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort -2.254734\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr -1.509245\n", + "┃ ... \n", + "┃ coef_primary_destination_accessibility_log_of_it_ 0.191205\n", + "┃ coef_subtour_departure_less_than_or_equal_to_11am 0.352247\n", + "┃ coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_ 0.023141\n", + "┃ coef_subtour_duration_in_hours_integer_ 0.555413\n", + "┃ coef_subtour_return_time_greater_or_equal_to_2pm 0.206446\n", + "┃ Length: 188, dtype: float64\n", + "┣ logloss: 1.1174393743806623\n", + "┣ d_logloss: coef_alternative_specific_constant_for_outbound_stops_1out_0in 1.318164e-07\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork -3.450424e-05\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout -2.357602e-05\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort 7.327103e-06\n", + "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr 5.830160e-05\n", + "┃ ... \n", + "┃ coef_primary_destination_accessibility_log_of_it_ -4.708946e-06\n", + "┃ coef_subtour_departure_less_than_or_equal_to_11am -3.435878e-05\n", + "┃ coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_ 9.929553e-05\n", + "┃ coef_subtour_duration_in_hours_integer_ -1.478819e-04\n", + "┃ coef_subtour_return_time_greater_or_equal_to_2pm -2.289188e-05\n", + "┃ Length: 188, dtype: float64\n", + "┣ nit: 81\n", + "┣ nfev: 82\n", + "┣ njev: 81\n", + "┣ status: 0\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ success: True\n", + "┣ elapsed_time: datetime.timedelta(seconds=17, microseconds=187577)\n", + "┣ method: 'SLSQP'\n", + "┣ n_cases: 69971\n", + "┣ iteration_number: 81\n", + "┣ loglike: -78188.35046478933" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.estimate(method='SLSQP', options={\"maxiter\": 1000})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Estimated coefficients" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - "
coef_subtour_duration_in_hours_integer_0.681811 ValueStd Errt StatSignifNull Value
coef_subtour_return_time_greater_or_equal_to_2pm1.549569
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0Parameter     
-2.1390.000000e+00coef_alternative_specific_constant_for_outbound_stops_1out_0in-0.818 0.0344-23.78*** 0.00
-3.9340.000000e+00coef_alternative_specific_constant_for_outbound_stops_1out_0in_atwork-3.86 0.249-15.49*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in-7.969702e-05coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout-2.24 0.102-22.05*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in-7.162521e-04coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort-2.25 0.0741-30.45*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in-6.335846e-05coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr-1.51 0.0658-22.93*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in9.540429e-05coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint-1.85 0.0875-21.14*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in-5.140413e-04coef_alternative_specific_constant_for_outbound_stops_1out_0in_school-2.10 0.0714-29.46*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in-8.954661e-05coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping-1.37 0.0511-26.89*** 0.00
coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours-2.097418e-04coef_alternative_specific_constant_for_outbound_stops_1out_0in_social-1.10 0.565-1.95 0.00
coef_dummy_for_all_stops_made_by_transit5.963845e-05coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ-2.58 0.148-17.51*** 0.00
coef_dummy_for_distance_in_miles-2.339326e-03coef_alternative_specific_constant_for_outbound_stops_2out_0in-2.55 0.0622-41.08*** 0.00
coef_dummy_for_distance_less_than_20_miles-4.727787e-04coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork-5.67 0.275-20.66*** 0.00
coef_dummy_for_female2.329415e-05coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout-4.50 0.236-19.10*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours-2.446071e-04coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort-4.23 0.158-26.72*** 0.00
coef_dummy_for_walking_to_all_stops-2.009061e-04coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr-3.36 0.116-28.93*** 0.00
coef_evening_arrival_19_00_interacted_with_return_tours-2.608074e-04coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint-3.53 0.157-22.55*** 0.00
coef_high_income_hh0.000000e+00coef_alternative_specific_constant_for_outbound_stops_2out_0in_school-3.93 0.122-32.36*** 0.00
coef_mid_to_high_income_hh0.000000e+00coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping-3.00 0.0869-34.53*** 0.00
coef_middle_to_low_income_hh0.000000e+00coef_alternative_specific_constant_for_outbound_stops_2out_0in_social-2.79 0.582-4.79*** 0.00
coef_no_stops_if_tour_mode_is_drivetransit0.000000e+00coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ-3.63 0.193-18.79*** 0.00
coef_num_kids_between_5_and_15_including_years_old1.941456e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in-3.91 0.0934-41.93*** 0.00
coef_number_of_adults_16_years_old_2.205314e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in_atwork-7.45 0.358-20.80*** 0.00
coef_number_of_cars_number_of_workers5.994133e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout-5.21 0.325-16.02*** 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person-5.224365e-05coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort-4.71 0.202-23.35*** 0.00
coef_number_of_hh_persons1.586957e-03coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr-4.26 0.163-26.11*** 0.00
coef_number_of_school_tours_tours_undertaken_by_the_person-3.034153e-05coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint-5.37 0.326-16.47*** 0.00
coef_number_of_shop_tours_undertaken_by_the_houshold1.116601e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in_school-5.87 0.244-24.09*** 0.00
coef_number_of_students_in_hh1.126486e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping-4.44 0.143-30.98*** 0.00
coef_number_of_subtours_in_the_tour-4.322246e-04coef_alternative_specific_constant_for_outbound_stops_3out_0in_social-4.48 0.653-6.86*** 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person0.000000e+00coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ-5.12 0.304-16.88*** 0.00
coef_number_of_work_tours_undertaken_by_the_person-3.832504e-04coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in-1.86 0.132-14.07*** 0.00
coef_presence_of_kids_between_0_and_4_including_years_old-2.811261e-04coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in-4.03 0.366-11.00*** 0.00
coef_presence_of_kids_between_5_and_15_including_years_old1.838518e-04coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in-5.08 0.509-9.97*** 0.00
-2.6720.000000e+00coef_alternative_specific_constant_for_return_stops_0out_1in-0.422 0.0376-11.23*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_school3.622369e-04coef_alternative_specific_constant_for_return_stops_0out_1in_atwork-3.67 0.250-14.69*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_school-1.073515e-04coef_alternative_specific_constant_for_return_stops_0out_1in_eatout-1.67 0.0960-17.36*** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_school5.591613e-07coef_alternative_specific_constant_for_return_stops_0out_1in_escort-0.884 0.0729-12.12*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_school-4.218724e-04coef_alternative_specific_constant_for_return_stops_0out_1in_othdiscr-0.944 0.0691-13.68*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_school-1.172540e-04coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint-0.607 0.0995-6.10*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in6.638463e-05coef_alternative_specific_constant_for_return_stops_0out_1in_school-1.20 0.0752-16.01*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school-4.148872e-05coef_alternative_specific_constant_for_return_stops_0out_1in_shopping-1.16 0.0523-22.10*** 0.00
coef_arrival_later_than_17_00_3.242621e-05coef_alternative_specific_constant_for_return_stops_0out_1in_social-1.26 0.260-4.86*** 0.00
coef_dummy_for_distance_in_miles_school1.257368e-04coef_alternative_specific_constant_for_return_stops_0out_1in_univ-1.89 0.143-13.28*** 0.00
coef_dummy_for_female_school1.151809e-04coef_alternative_specific_constant_for_return_stops_0out_2in-1.74 0.0605-28.73*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_1.609739e-04coef_alternative_specific_constant_for_return_stops_0out_2in_atwork-5.35 0.270-19.83*** 0.00
coef_dummy_for_walking_to_all_stops_school-2.948826e-05coef_alternative_specific_constant_for_return_stops_0out_2in_eatout-3.38 0.161-21.08*** 0.00
coef_number_of_cars_number_of_workers_school-1.267875e-04coef_alternative_specific_constant_for_return_stops_0out_2in_escort-2.36 0.104-22.69*** 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_school-1.086302e-04coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr-2.25 0.0973-23.10*** 0.00
coef_number_of_hh_persons_school-8.934922e-05coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint-1.55 0.121-12.84*** 0.00
coef_presence_of_kids_between_5_and_15_including_years_old_school2.925349e-04coef_alternative_specific_constant_for_return_stops_0out_2in_school-2.62 0.101-25.83*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ2.297287e-04coef_alternative_specific_constant_for_return_stops_0out_2in_shopping-2.25 0.0774-29.09*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ-7.201840e-04coef_alternative_specific_constant_for_return_stops_0out_2in_social-2.75 0.290-9.48*** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ3.180905e-04coef_alternative_specific_constant_for_return_stops_0out_2in_univ-3.56 0.199-17.95*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_univ-6.094370e-04coef_alternative_specific_constant_for_return_stops_0out_3in-2.06 0.0653-31.50*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_univ2.159121e-04coef_alternative_specific_constant_for_return_stops_0out_3in_atwork-6.48 0.304-21.31*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_univ-2.067752e-04coef_alternative_specific_constant_for_return_stops_0out_3in_eatout-4.73 0.275-17.24*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ-1.224656e-04coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr-2.82 0.121-23.37*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ1.115042e-04coef_alternative_specific_constant_for_return_stops_0out_3in_othmaint-2.35 0.149-15.81*** 0.00
coef_arrival_later_than_17_00__univ3.883451e-05coef_alternative_specific_constant_for_return_stops_0out_3in_school-3.36 0.124-27.19*** 0.00
coef_dummy_for_female_univ-2.006300e-04coef_alternative_specific_constant_for_return_stops_0out_3in_shopping-3.09 0.0889-34.71*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ1.801912e-05coef_alternative_specific_constant_for_return_stops_0out_3in_social-3.62 0.345-10.49*** 0.00
coef_hh_accesibility_for_inbound_tours_interaction1.451782e-04coef_alternative_specific_constant_for_return_stops_0out_3in_univ-3.55 0.207-17.16*** 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_univ4.571784e-05coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in-1.35 0.109-12.40*** 0.00
coef_number_of_hh_persons_univ-9.257971e-05coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in-3.01 0.298-10.08*** 0.00
coef_number_of_vehicles-3.492440e-05coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in-3.09 0.319-9.71*** 0.00
coef_presence_of_kids_between_5_and_15_including_years_old_univ-1.005346e-04coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in-0.0339 0.0356-0.95 0.00
-1.7830.000000e+00coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in 0.620 0.180 3.44*** 0.00
-2.8740.000000e+00coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork 2.20 0.379 5.79*** 0.00
-3.3790.000000e+00coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout 0.957 0.397 2.41* 0.00
1.4970.000000e+00coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr 0.780 0.146 5.35*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_social-1.680088e-04coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint 0.525 0.198 2.65** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_social-1.534541e-16coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping 0.519 0.123 4.22*** 0.00
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in-1.142652e-04coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social 0.620 0.318 1.95 0.00
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in-2.817966e-11coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ 1.22 0.294 4.14*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_social2.375526e-04coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in 0.556 0.128 4.35*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_social-2.745402e-08coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout 1.98 0.616 3.21** 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_social-8.463137e-05coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort-1.80 1.19-1.51 0.00
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in6.231017e-04coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othdiscr 1.15 0.241 4.76*** 0.00
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in8.245417e-05coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint 0.489 0.418 1.17 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social-1.206021e-04coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school 1.20 0.317 3.80*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social-1.513475e-06coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping 0.412 0.245 1.68 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in-2.522694e-04coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social 0.866 0.592 1.46 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in-3.539804e-12coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ 1.96 0.383 5.12*** 0.00
coef_arrival_later_than_17_00__social4.029635e-04coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in-0.0573 0.238-0.24 0.00
coef_at_least_one_kid_and_one_adult_participate_in_the_tour3.720282e-04coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in 0.608 0.463 1.31 0.00
coef_dummy_for_a_return_visiting_tour3.077125e-04coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in 1.43 0.759 1.88 0.00
coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg1.591081e-04coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours-1.91 0.0370-51.75*** 0.00
coef_dummy_for_an_outbound_visiting_tour9.181048e-05coef_arrival_later_than_17_00_ 1.84 0.0758 24.27*** 0.00
coef_dummy_for_distance_in_miles_social6.278670e-04coef_arrival_later_than_17_00__othdiscr-0.638 0.0589-10.83*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_5.519594e-04coef_arrival_later_than_17_00__social-0.708 0.0742-9.55*** 0.00
coef_dummy_for_walking_to_all_stops_social4.496402e-04coef_arrival_later_than_17_00__univ 0.353 0.112 3.14** 0.00
coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction5.942079e-07coef_at_least_one_kid_and_one_adult_participate_in_the_tour 0.598 0.257 2.33* 0.00
coef_number_of_shop_tours_undertaken_by_the_person1.577034e-04coef_dummy_for_a_return_visiting_tour-0.542 0.250-2.17* 0.00
coef_number_of_vehicles_social1.013531e-03coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg 0.638 0.173 3.69*** 0.00
coef_number_of_work_tours_undertaken_by_the_person_social7.685343e-04coef_dummy_for_all_stops_made_by_transit-0.698 0.0392-17.80*** 0.00
-3.0240.000000e+00coef_dummy_for_an_outbound_visiting_tour-0.547 0.560-0.98 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping2.666344e-05coef_dummy_for_distance_in_miles 0.00820 0.00214 3.83*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping6.780320e-05coef_dummy_for_distance_in_miles_othdiscr-0.0164 0.00521-3.15** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping-7.271615e-04coef_dummy_for_distance_in_miles_othmaint 0.0246 0.00536 4.59*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_shopping-9.635243e-06coef_dummy_for_distance_in_miles_school 0.0487 0.00546 8.92*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_shopping5.507170e-05coef_dummy_for_distance_in_miles_shopping 0.0421 0.00629 6.68*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping-5.236271e-05coef_dummy_for_distance_in_miles_social-0.0112 0.00621-1.80 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping-7.154384e-05coef_dummy_for_distance_less_than_10_miles_ 0.312 0.0676 4.61*** 0.00
coef_dummy_for_distance_in_miles_shopping2.523396e-04coef_dummy_for_distance_less_than_20_miles-0.210 0.0571-3.67*** 0.00
coef_dummy_for_distance_less_than_5_miles-2.476980e-05coef_dummy_for_distance_less_than_20_miles_-0.403 0.109-3.71*** 0.00
coef_dummy_for_female_shopping4.740709e-04coef_dummy_for_distance_less_than_5_miles 0.391 0.0569 6.87*** 0.00
coef_dummy_for_only_adults_participate_in_the_tour4.017317e-04coef_dummy_for_distance_less_than_5_miles_escort 0.288 0.0736 3.91*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping-4.228203e-05coef_dummy_for_female 0.231 0.0317 7.29*** 0.00
coef_dummy_for_walking_to_all_stops_shopping-3.690879e-04coef_dummy_for_female_othmaint 0.299 0.0693 4.31*** 0.00
coef_num_kids_between_5_and_15_including_years_old_shopping-1.102340e-04coef_dummy_for_female_school 0.519 0.0577 9.00*** 0.00
coef_number_of_hh_persons_shopping2.463465e-04coef_dummy_for_female_shopping 0.200 0.0467 4.28*** 0.00
coef_number_of_maintenace_tours_tours_undertaken_by_the_person7.302562e-05coef_dummy_for_female_univ 0.539 0.111 4.84*** 0.00
coef_number_of_shop_tours_undertaken_by_the_houshold_shopping-2.407855e-05coef_dummy_for_only_adults_participate_in_the_tour 0.241 0.194 1.25 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person_shopping0.000000e+00coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_ 0.270 NA NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_shopping8.243323e-05coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours 0.630 0.0404 15.57*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout-3.755981e-04coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_ 1.30 0.0744 17.43*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout-1.868019e-12coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_ 0.936 0.0765 12.24*** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout4.022851e-04coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort 0.469 0.163 2.88** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_eatout-1.344298e-04coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr 0.844 0.118 7.13*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_eatout-1.392861e-04coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint 0.104 0.161 0.65 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_eatout1.106246e-04coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping 1.04 0.156 6.66*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout-1.796611e-14coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ 0.772 0.320 2.41* 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout-1.259540e-14coef_dummy_for_walking_to_all_stops-1.59 0.0898-17.72*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort-4.940134e-04coef_dummy_for_walking_to_all_stops_escort-2.04 0.265-7.71*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort1.495955e-04coef_dummy_for_walking_to_all_stops_othdiscr-2.34 0.153-15.29*** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort-3.241983e-04coef_dummy_for_walking_to_all_stops_othmaint-1.32 0.170-7.79*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_escort9.510081e-04coef_dummy_for_walking_to_all_stops_school-2.07 0.112-18.53*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_escort-2.900724e-04coef_dummy_for_walking_to_all_stops_shopping-1.46 0.109-13.36*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort-1.512127e-06coef_dummy_for_walking_to_all_stops_social-1.65 0.150-10.97*** 0.00
coef_dummy_for_distance_less_than_5_miles_escort2.673121e-05coef_evening_arrival_19_00_interacted_with_return_tours 0.298 0.0385 7.73*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort-3.600725e-05coef_hh_accesibility_for_inbound_tours_interaction 0.258 0.0256 10.09*** 0.00
coef_dummy_for_walking_to_all_stops_escort1.191655e-04coef_high_income_hh 0.240 NA NA 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_escort-7.410121e-05coef_mid_to_high_income_hh 0.230 NA NA 0.00
coef_number_of_hh_persons_escort-3.140191e-04coef_middle_to_low_income_hh 0.170 2.03e-14 BIG*** 0.00
coef_number_of_students_in_hh_escort1.269734e-04coef_middle_to_low_income_hh_ 0.170 1.42e-14 BIG*** 0.00
coef_number_of_work_tours_undertaken_by_the_person_escort-2.773780e-05coef_middle_to_low_income_hh__atwork 0.369 0.262 1.41 0.00
-2.4620.000000e+00coef_no_stops_if_tour_mode_is_drivetransit-999. NA NA 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint1.221742e-04coef_num_kids_between_5_and_15_including_years_old 0.0834 0.0434 1.92 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint3.550288e-05coef_num_kids_between_5_and_15_including_years_old_shopping 0.0331 0.0347 0.95 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint-3.087708e-04coef_number_of_adults_16_years_old_ 0.00618 0.0229 0.27 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint4.516106e-04coef_number_of_cars_number_of_workers 0.195 0.0414 4.72*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint3.975618e-04coef_number_of_cars_number_of_workers_school 0.630 0.0881 7.16*** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint-6.769433e-05coef_number_of_eating_tours_tours_undertaken_by_the_person-0.425 0.178-2.39* 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint-4.805955e-14coef_number_of_escort_tours_tours_undertaken_by_the_person 0.286 0.0527 5.42*** 0.00
coef_dummy_for_distance_in_miles_othmaint-1.679261e-04coef_number_of_escort_tours_tours_undertaken_by_the_person_escort-0.0779 0.0376-2.07* 0.00
coef_dummy_for_distance_less_than_20_miles_3.465085e-05coef_number_of_escort_tours_tours_undertaken_by_the_person_school 1.29 0.133 9.72*** 0.00
coef_dummy_for_female_othmaint1.685909e-04coef_number_of_escort_tours_tours_undertaken_by_the_person_univ 0.985 0.191 5.15*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint-1.142635e-04coef_number_of_hh_persons-0.292 0.0225-12.98*** 0.00
coef_dummy_for_walking_to_all_stops_othmaint-3.369012e-04coef_number_of_hh_persons_escort-0.289 0.0247-11.72*** 0.00
coef_middle_to_low_income_hh_0.000000e+00coef_number_of_hh_persons_school-0.522 0.0197-26.42*** 0.00
coef_number_of_maintenace_tours_undertaken_by_the_houshold1.869470e-04coef_number_of_hh_persons_shopping-0.164 0.0143-11.47*** 0.00
coef_number_of_persons_participating_in_the_tour_return_stops_interaction1.532520e-05coef_number_of_hh_persons_univ-0.297 0.0417-7.12*** 0.00
coef_number_of_shool_tours_tours_undertaken_by_the_person-9.850134e-13coef_number_of_maintenace_tours_tours_undertaken_by_the_person-0.282 0.0682-4.13*** 0.00
coef_number_of_shop_tours_undertaken_by_the_person_othmaint1.727916e-04coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr-0.274 0.0896-3.05** 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint0.000000e+00coef_number_of_maintenace_tours_undertaken_by_the_houshold 0.280 0.157 1.78 0.00
coef_number_of_work_tours_undertaken_by_the_person_othmaint-1.965224e-04coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction-0.531 0.165-3.22** 0.00
-0.9210.000000e+00coef_number_of_persons_participating_in_the_tour_return_stops_interaction 0.488 0.0633 7.72*** 0.00
0.9390.000000e+00coef_number_of_school_tours_tours_undertaken_by_the_person-1.54 0.467-3.30*** 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr-3.506169e-04coef_number_of_shool_tours_tours_undertaken_by_the_person-1.56 0.258-6.05*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr1.907176e-04coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr-0.844 0.100-8.43*** 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr3.189979e-04coef_number_of_shop_tours_undertaken_by_the_houshold 0.194 0.245 0.79 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr2.028679e-04coef_number_of_shop_tours_undertaken_by_the_houshold_shopping-0.142 0.117-1.21 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr1.562541e-05coef_number_of_shop_tours_undertaken_by_the_person-0.304 0.0956-3.18** 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr2.583440e-04coef_number_of_shop_tours_undertaken_by_the_person_othdiscr-0.641 0.0747-8.59*** 0.00
coef_arrival_later_than_17_00__othdiscr1.080590e-04coef_number_of_shop_tours_undertaken_by_the_person_othmaint-0.175 0.0767-2.28* 0.00
coef_dummy_for_distance_in_miles_othdiscr9.492548e-04coef_number_of_students_in_hh 0.206 0.0209 9.85*** 0.00
coef_dummy_for_distance_less_than_10_miles_1.588828e-04coef_number_of_students_in_hh_escort 0.217 0.0357 6.07*** 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr1.826016e-04coef_number_of_subtours_in_the_tour 0.185 0.0354 5.21*** 0.00
coef_dummy_for_walking_to_all_stops_othdiscr1.223109e-04coef_number_of_university_tours_tours_undertaken_by_the_person-0.480 NA NA 0.00
coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr-7.663028e-04coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint-0.625 4.04e-15-BIG*** 0.00
coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr4.152763e-04coef_number_of_university_tours_tours_undertaken_by_the_person_shopping-0.671 7.34e-15-BIG*** 0.00
coef_number_of_shop_tours_undertaken_by_the_person_othdiscr3.120237e-04coef_number_of_vehicles 0.190 0.0605 3.14** 0.00
coef_number_of_work_tours_undertaken_by_the_person_othdiscr3.092441e-04coef_number_of_vehicles_social-0.158 0.0333-4.76*** 0.00
-3.6710.000000e+00coef_number_of_work_tours_undertaken_by_the_person-0.182 0.0552-3.30*** 0.00
-3.8960.000000e+00coef_number_of_work_tours_undertaken_by_the_person_escort-0.222 0.0707-3.15** 0.00
-7.36100000000000150.000000e+00coef_number_of_work_tours_undertaken_by_the_person_othdiscr-0.547 0.0742-7.36*** 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork-3.052719e-04coef_number_of_work_tours_undertaken_by_the_person_othmaint-0.426 0.0859-4.96*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_atwork-1.668958e-04coef_number_of_work_tours_undertaken_by_the_person_shopping-0.599 0.0588-10.19*** 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_atwork2.048973e-04coef_number_of_work_tours_undertaken_by_the_person_social-0.198 0.0971-2.04* 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork1.185991e-04coef_presence_of_kids_between_0_and_4_including_years_old 0.738 0.0493 14.98*** 0.00
coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_0.000000e+00coef_presence_of_kids_between_5_and_15_including_years_old 0.174 0.0692 2.52* 0.00
coef_middle_to_low_income_hh__atwork-1.187817e-03coef_presence_of_kids_between_5_and_15_including_years_old_school 0.258 0.0737 3.50*** 0.00
coef_number_of_eating_tours_tours_undertaken_by_the_person4.166759e-04coef_presence_of_kids_between_5_and_15_including_years_old_univ 0.755 0.165 4.58*** 0.00
coef_primary_destination_accessibility_log_of_it_-3.977574e-03coef_primary_destination_accessibility_log_of_it_ 0.191 0.0120 15.92*** 0.00
coef_subtour_departure_less_than_or_equal_to_11am-7.903092e-04coef_subtour_departure_less_than_or_equal_to_11am 0.352 0.0707 4.98*** 0.00
coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_-4.153043e-03coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_ 0.0231 0.0171 1.35 0.00
coef_subtour_duration_in_hours_integer_-2.149064e-03coef_subtour_duration_in_hours_integer_ 0.555 0.0253 21.94*** 0.00
coef_subtour_return_time_greater_or_equal_to_2pm1.538038e-04coef_subtour_return_time_greater_or_equal_to_2pm 0.206 0.209 0.99 0.00
nit130nfev327njev130status0message'Optimization terminated successfully'successTrueelapsed_time0:01:25.611724method'SLSQP'n_cases5778iteration_number130logloss1.0547864171945307" - ], - "text/plain": [ - "┣ x: -2.139 -2.139000\n", - "┃ -3.934 -3.934000\n", - "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in -0.741225\n", - "┃ coef_alternative_specific_constant_for_outbound_stops_2out_0in -2.594489\n", - "┃ coef_alternative_specific_constant_for_return_stops_0out_1in -0.447476\n", - "┃ ... \n", - "┃ coef_primary_destination_accessibility_log_of_it_ 0.170704\n", - "┃ coef_subtour_departure_less_than_or_equal_to_11am 0.266339\n", - "┃ coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_ -0.152384\n", - "┃ coef_subtour_duration_in_hours_integer_ 0.681811\n", - "┃ coef_subtour_return_time_greater_or_equal_to_2pm 1.549569\n", - "┃ Length: 188, dtype: float64\n", - "┣ loglike: -6094.555918549999\n", - "┣ d_loglike: -2.139 0.000000\n", - "┃ -3.934 0.000000\n", - "┃ coef_alternative_specific_constant_for_outbound_stops_1out_0in -0.000080\n", - "┃ coef_alternative_specific_constant_for_outbound_stops_2out_0in -0.000716\n", - "┃ coef_alternative_specific_constant_for_return_stops_0out_1in -0.000063\n", - "┃ ... \n", - "┃ coef_primary_destination_accessibility_log_of_it_ -0.003978\n", - "┃ coef_subtour_departure_less_than_or_equal_to_11am -0.000790\n", - "┃ coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_ -0.004153\n", - "┃ coef_subtour_duration_in_hours_integer_ -0.002149\n", - "┃ coef_subtour_return_time_greater_or_equal_to_2pm 0.000154\n", - "┃ Length: 188, dtype: float64\n", - "┣ nit: 130\n", - "┣ nfev: 327\n", - "┣ njev: 130\n", - "┣ status: 0\n", - "┣ message: 'Optimization terminated successfully'\n", - "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=85, microseconds=611724)\n", - "┣ method: 'SLSQP'\n", - "┣ n_cases: 5778\n", - "┣ iteration_number: 130\n", - "┣ logloss: 1.0547864171945307" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.estimate(method='SLSQP', options={\"maxiter\": 1000})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Estimated coefficients" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value
-2.139-2.14 0.00 NA NA-2.14
-3.934-3.93 0.00 NA NA-3.93
coef_alternative_specific_constant_for_outbound_stops_1out_0in-0.741 0.0909-8.16*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in-2.59 0.167-15.51*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in-0.447 0.0942-4.75*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in-1.66 0.136-12.17*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in 0.0394 0.0697 0.57 NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in 0.755 0.335 2.25* NA 0.00
coef_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours-2.00 0.132-15.17*** NA 0.00
coef_dummy_for_all_stops_made_by_transit-0.673 0.0870-7.73*** NA 0.00
coef_dummy_for_distance_in_miles 0.0440 0.0256 1.72 NA 0.00
coef_dummy_for_distance_less_than_20_miles-0.588 0.310-1.90 NA 0.00
coef_dummy_for_female 0.283 0.108 2.63** NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_11_hours 0.713 0.139 5.13*** NA 0.00
coef_dummy_for_walking_to_all_stops-1.49 0.218-6.84*** NA 0.00
coef_evening_arrival_19_00_interacted_with_return_tours 0.606 0.127 4.78*** NA 0.00
coef_high_income_hh 0.240 1.15e-07 BIG*** NA 0.00
coef_mid_to_high_income_hh 0.230 3.09e-07 BIG*** NA 0.00
coef_middle_to_low_income_hh 0.170 1.05e-06 BIG*** NA 0.00
coef_no_stops_if_tour_mode_is_drivetransit-999. 9.87e-07-BIG*** NA 0.00
coef_num_kids_between_5_and_15_including_years_old 0.0897 0.206 0.44 NA 0.00
coef_number_of_adults_16_years_old_ 0.0742 0.0890 0.83 NA 0.00
coef_number_of_cars_number_of_workers-0.0657 0.116-0.57 NA 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person 0.0978 0.216 0.45 NA 0.00
coef_number_of_hh_persons-0.328 0.0857-3.83*** NA 0.00
coef_number_of_school_tours_tours_undertaken_by_the_person 0.130 1.43 0.09 NA 0.00
coef_number_of_shop_tours_undertaken_by_the_houshold-0.328 0.660-0.50 NA 0.00
coef_number_of_students_in_hh 0.315 0.0885 3.56*** NA 0.00
coef_number_of_subtours_in_the_tour 0.337 0.128 2.63** NA 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person-0.480 8.22e-07-BIG*** NA 0.00
coef_number_of_work_tours_undertaken_by_the_person-0.175 0.201-0.87 NA 0.00
coef_presence_of_kids_between_0_and_4_including_years_old 0.557 0.200 2.78** NA 0.00
coef_presence_of_kids_between_5_and_15_including_years_old 0.118 0.306 0.38 NA 0.00
-2.672-2.67 0.00 NA NA-2.67
coef_alternative_specific_constant_for_outbound_stops_1out_0in_school-1.77 0.250-7.07*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_school-4.31 0.594-7.26*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_school-6.21 1.12-5.53*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_school-1.23 0.243-5.05*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_school-3.19 0.436-7.30*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in 1.57 0.577 2.72** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_school 2.18 1.22 1.78 NA 0.00
coef_arrival_later_than_17_00_ 1.37 0.387 3.55*** NA 0.00
coef_dummy_for_distance_in_miles_school 0.0920 0.0697 1.32 NA 0.00
coef_dummy_for_female_school 0.688 0.282 2.44* NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours_ 1.90 0.388 4.91*** NA 0.00
coef_dummy_for_walking_to_all_stops_school-1.53 0.539-2.83** NA 0.00
coef_number_of_cars_number_of_workers_school 0.282 0.300 0.94 NA 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_school 2.32 0.591 3.93*** NA 0.00
coef_number_of_hh_persons_school-0.603 0.0890-6.78*** NA 0.00
coef_presence_of_kids_between_5_and_15_including_years_old_school 0.0211 0.346 0.06 NA 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_univ-2.21 0.395-5.59*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_univ-4.04 0.629-6.42*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_univ-4.64 0.752-6.17*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_univ-1.57 0.395-3.98*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_univ-3.43 0.560-6.13*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_univ-3.86 0.649-5.95*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_univ 2.02 0.718 2.81** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_univ 2.12 1.26 1.68 NA 0.00
coef_arrival_later_than_17_00__univ 0.398 0.350 1.14 NA 0.00
coef_dummy_for_female_univ 0.527 0.361 1.46 NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__univ 1.09 0.968 1.12 NA 0.00
coef_hh_accesibility_for_inbound_tours_interaction 0.244 0.0583 4.18*** NA 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_univ 1.86 1.35 1.37 NA 0.00
coef_number_of_hh_persons_univ-0.326 0.139-2.35* NA 0.00
coef_number_of_vehicles 0.266 0.201 1.32 NA 0.00
coef_presence_of_kids_between_5_and_15_including_years_old_univ-0.0615 0.651-0.09 NA 0.00
-1.783-1.78 0.00 NA NA-1.78
-2.874-2.87 0.00 NA NA-2.87
-3.379-3.38 0.00 NA NA-3.38
1.497 1.50 0.00 NA NA 1.50
coef_alternative_specific_constant_for_outbound_stops_1out_0in_social-1.29 0.598-2.16* NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_social-42.6 8.43e-07-BIG*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in-4.16 1.09-3.82*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in-28.9 4.10e-07-BIG*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_social 0.474 1.29 0.37 NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_social-2.40 1.50-1.61 NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_social-3.11 1.65-1.88 NA 0.00
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in-1.49 0.366-4.07*** NA 0.00
coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in-3.53 0.880-4.01*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_social 2.61 1.22 2.14* NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_social-9.81 921.-0.01 NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in-0.168 0.519-0.32 NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in-26.1 1.12e-07-BIG*** NA 0.00
coef_arrival_later_than_17_00__social-0.470 0.240-1.96 NA 0.00
coef_at_least_one_kid_and_one_adult_participate_in_the_tour 2.12 1.01 2.09* NA 0.00
coef_dummy_for_a_return_visiting_tour-1.75 1.28-1.36 NA 0.00
coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg 0.344 0.644 0.53 NA 0.00
coef_dummy_for_an_outbound_visiting_tour-0.742 0.617-1.20 NA 0.00
coef_dummy_for_distance_in_miles_social-0.0788 0.0646-1.22 NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_3_hours_ 1.14 0.248 4.60*** NA 0.00
coef_dummy_for_walking_to_all_stops_social-2.09 0.423-4.94*** NA 0.00
coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction-0.0275 0.310-0.09 NA 0.00
coef_number_of_shop_tours_undertaken_by_the_person-0.178 0.302-0.59 NA 0.00
coef_number_of_vehicles_social-0.154 0.132-1.17 NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_social-0.0102 0.288-0.04 NA 0.00
-3.024-3.02 0.00 NA NA-3.02
coef_alternative_specific_constant_for_outbound_stops_1out_0in_shopping-1.49 0.156-9.57*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_shopping-3.34 0.273-12.24*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_shopping-4.54 0.447-10.16*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_shopping-1.23 0.155-7.95*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_shopping-2.58 0.221-11.70*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_shopping 0.585 0.339 1.72 NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_shopping-0.0156 1.03-0.02 NA 0.00
coef_dummy_for_distance_in_miles_shopping 0.0214 0.0384 0.56 NA 0.00
coef_dummy_for_distance_less_than_5_miles 0.153 0.172 0.89 NA 0.00
coef_dummy_for_female_shopping 0.339 0.162 2.09* NA 0.00
coef_dummy_for_only_adults_participate_in_the_tour 1.54 0.764 2.02* NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__shopping 3.10 0.813 3.82*** NA 0.00
coef_dummy_for_walking_to_all_stops_shopping-1.88 0.331-5.69*** NA 0.00
coef_num_kids_between_5_and_15_including_years_old_shopping-0.0478 0.155-0.31 NA 0.00
coef_number_of_hh_persons_shopping-0.0870 0.0495-1.76 NA 0.00
coef_number_of_maintenace_tours_tours_undertaken_by_the_person-0.326 0.218-1.49 NA 0.00
coef_number_of_shop_tours_undertaken_by_the_houshold_shopping 0.148 0.276 0.54 NA 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person_shopping-0.671 3.90e-07-BIG*** NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_shopping-0.437 0.186-2.35* NA 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_eatout-1.88 0.316-5.94*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_eatout-32.6 1.42e-07-BIG*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_eatout-3.74 0.648-5.77*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_eatout-1.69 0.321-5.26*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_eatout-3.03 0.462-6.56*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_eatout-4.84 1.04-4.64*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_eatout-32.0 2.36e-07-BIG*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_eatout-30.9 2.73e-07-BIG*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_1out_0in_escort-2.23 0.253-8.78*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_escort-4.86 0.729-6.67*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_escort-4.79 0.731-6.56*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_escort-1.28 0.241-5.31*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_escort-2.46 0.315-7.81*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_escort-12.3 923.-0.01 NA 0.00
coef_dummy_for_distance_less_than_5_miles_escort 0.270 0.240 1.12 NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__escort 1.40 0.752 1.86 NA 0.00
coef_dummy_for_walking_to_all_stops_escort-0.341 0.889-0.38 NA 0.00
coef_number_of_escort_tours_tours_undertaken_by_the_person_escort-0.260 0.147-1.77 NA 0.00
coef_number_of_hh_persons_escort-0.179 0.0901-1.98* NA 0.00
coef_number_of_students_in_hh_escort 0.161 0.159 1.01 NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_escort-0.158 0.289-0.55 NA 0.00
-2.462-2.46 0.00 NA NA-2.46
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othmaint-2.12 0.292-7.26*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othmaint-3.47 0.501-6.92*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othmaint-4.23 0.775-5.46*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_1in_othmaint-0.834 0.287-2.91** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_othmaint-1.19 0.307-3.87*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othmaint 0.315 0.650 0.48 NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in_othmaint-31.0 8.73e-08-BIG*** NA 0.00
coef_dummy_for_distance_in_miles_othmaint 0.102 0.0656 1.55 NA 0.00
coef_dummy_for_distance_less_than_20_miles_-0.622 0.451-1.38 NA 0.00
coef_dummy_for_female_othmaint 0.281 0.254 1.11 NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othmaint 0.169 0.746 0.23 NA 0.00
coef_dummy_for_walking_to_all_stops_othmaint-2.30 0.751-3.06** NA 0.00
coef_middle_to_low_income_hh_ 0.170 1.58e-08 BIG*** NA 0.00
coef_number_of_maintenace_tours_undertaken_by_the_houshold-0.265 0.426-0.62 NA 0.00
coef_number_of_persons_participating_in_the_tour_return_stops_interaction 0.626 0.233 2.69** NA 0.00
coef_number_of_shool_tours_tours_undertaken_by_the_person-29.4 3.81e-08-BIG*** NA 0.00
coef_number_of_shop_tours_undertaken_by_the_person_othmaint-0.200 0.253-0.79 NA 0.00
coef_number_of_university_tours_tours_undertaken_by_the_person_othmaint-0.625 3.47e-08-BIG*** NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_othmaint-0.358 0.317-1.13 NA 0.00
-0.921-0.921 0.00 NA NA-0.92
0.939 0.939 0.00 NA NA 0.94
coef_alternative_specific_constant_for_outbound_stops_1out_0in_othdiscr-1.39 0.171-8.11*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_2out_0in_othdiscr-2.96 0.290-10.20*** NA 0.00
coef_alternative_specific_constant_for_outbound_stops_3out_0in_othdiscr-4.39 0.503-8.73*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_othdiscr-2.52 0.258-9.77*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_othdiscr-3.02 0.316-9.58*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_othdiscr 1.09 0.410 2.65** NA 0.00
coef_arrival_later_than_17_00__othdiscr-0.367 0.208-1.76 NA 0.00
coef_dummy_for_distance_in_miles_othdiscr 0.0493 0.0477 1.03 NA 0.00
coef_dummy_for_distance_less_than_10_miles_-0.135 0.250-0.54 NA 0.00
coef_dummy_for_the_duration_of_the_tour_being_equal_or_greater_than_or_equal_to_9_hours__othdiscr 0.254 0.398 0.64 NA 0.00
coef_dummy_for_walking_to_all_stops_othdiscr-2.06 0.429-4.81*** NA 0.00
coef_number_of_maintenace_tours_tours_undertaken_by_the_person_othdiscr-0.621 0.322-1.92 NA 0.00
coef_number_of_shool_tours_tours_undertaken_by_the_person_othdiscr-0.595 0.410-1.45 NA 0.00
coef_number_of_shop_tours_undertaken_by_the_person_othdiscr-0.607 0.236-2.57* NA 0.00
coef_number_of_work_tours_undertaken_by_the_person_othdiscr-0.475 0.243-1.96 NA 0.00
-3.671-3.67 0.00 NA NA-3.67
-3.896-3.90 0.00 NA NA-3.90
-7.3610000000000015-7.36 0.00 NA NA-7.36
coef_alternative_specific_constant_for_outbound_stops_2out_0in_atwork-5.61 0.354-15.85*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_2in_atwork-6.03 0.427-14.13*** NA 0.00
coef_alternative_specific_constant_for_return_stops_0out_3in_atwork-8.02 1.03-7.75*** NA 0.00
coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in_atwork 2.56 1.04 2.45* NA 0.00
coef_dummy_for_subtour_origin_tour_destination_at_exurban_or_rual_areatypes_6_or_7_ 0.270 0.00 NA[] 0.00 0.00
coef_middle_to_low_income_hh__atwork 0.939 0.357 2.63** NA 0.00
coef_number_of_eating_tours_tours_undertaken_by_the_person-0.250 0.553-0.45 NA 0.00
coef_primary_destination_accessibility_log_of_it_ 0.171 0.0435 3.93*** NA 0.00
coef_subtour_departure_less_than_or_equal_to_11am 0.266 0.259 1.03 NA 0.00
coef_subtour_distance_in_miles_from_tour_destination_to_subtour_primary_destination_one_way_-0.152 0.0816-1.87 NA 0.00
coef_subtour_duration_in_hours_integer_ 0.682 0.0974 7.00*** NA 0.00
coef_subtour_return_time_greater_or_equal_to_2pm 1.55 0.707 2.19* NA 0.00
" + "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -6295,67 +6168,67 @@ " 3\n", " coef_number_of_hh_persons\n", " Number of HH Persons\n", - " -0.328159\n", + " -0.291501\n", " \n", " \n", " 4\n", " coef_number_of_students_in_hh\n", " Number of Students in HH\n", - " 0.315297\n", + " 0.206028\n", " \n", " \n", " 5\n", " coef_presence_of_kids_between_0_and_4_includin...\n", " Presence of Kids between 0 and 4 (including) y...\n", - " 0.557476\n", + " 0.738257\n", " \n", " \n", " 6\n", " coef_num_kids_between_5_and_15_including_years...\n", " Num kids between 5 and 15 (including) years old\n", - " 0.089718\n", + " 0.083356\n", " \n", " \n", " 7\n", " coef_presence_of_kids_between_5_and_15_includi...\n", " Presence of kids between 5 and 15 (including) ...\n", - " 0.117544\n", + " 0.174006\n", " \n", " \n", " 8\n", " coef_number_of_adults_16_years_old_\n", " Number of Adults (>= 16 years old)\n", - " 0.074203\n", + " 0.006177\n", " \n", " \n", " 9\n", " coef_number_of_cars_number_of_workers\n", " Number of Cars > Number of Workers\n", - " -0.065713\n", + " 0.195317\n", " \n", " \n", " 10\n", " coef_dummy_for_female\n", " Dummy for female\n", - " 0.282632\n", + " 0.231116\n", " \n", " \n", " 11\n", " coef_dummy_for_all_stops_made_by_transit\n", " Dummy for all stops made by transit\n", - " -0.672704\n", + " -0.698140\n", " \n", " \n", " 12\n", " coef_dummy_for_walking_to_all_stops\n", " Dummy for walking to all stops\n", - " -1.491072\n", + " -1.590379\n", " \n", " \n", " 13\n", " coef_number_of_work_tours_undertaken_by_the_pe...\n", " Number of work tours undertaken by the person\n", - " -0.174762\n", + " -0.182288\n", " \n", " \n", " 14\n", @@ -6367,49 +6240,49 @@ " 15\n", " coef_number_of_school_tours_tours_undertaken_b...\n", " Number of school tours tours undertaken by the...\n", - " 0.130473\n", + " -1.539830\n", " \n", " \n", " 16\n", " coef_number_of_escort_tours_tours_undertaken_b...\n", " Number of escort tours tours undertaken by the...\n", - " 0.097792\n", + " 0.285502\n", " \n", " \n", " 17\n", " coef_number_of_shop_tours_undertaken_by_the_ho...\n", " Number of shop tours undertaken by the houshold\n", - " -0.328294\n", + " 0.194165\n", " \n", " \n", " 18\n", " coef_am_peak_departure_between_6am_and_7_am_in...\n", " AM Peak departure between 6AM and 7 AM (includ...\n", - " -1.998832\n", + " -1.913742\n", " \n", " \n", " 19\n", " coef_evening_arrival_19_00_interacted_with_ret...\n", " Evening Arrival (>=19:00) Interacted with retu...\n", - " 0.606441\n", + " 0.297829\n", " \n", " \n", " 20\n", " coef_dummy_for_the_duration_of_the_tour_being_...\n", " Dummy for the duration of the tour being equal...\n", - " 0.713048\n", + " 0.629566\n", " \n", " \n", " 21\n", " coef_dummy_for_distance_less_than_20_miles\n", " dummy for distance less than 20 Miles\n", - " -0.588175\n", + " -0.209813\n", " \n", " \n", " 22\n", " coef_dummy_for_distance_in_miles\n", " dummy for distance in miles\n", - " 0.043974\n", + " 0.008199\n", " \n", " \n", " 23\n", @@ -6421,55 +6294,55 @@ " 24\n", " coef_alternative_specific_constant_for_return_...\n", " Alternative specific constant for return stops\n", - " -0.447476\n", + " -0.422070\n", " \n", " \n", " 25\n", " coef_number_of_subtours_in_the_tour\n", " Number of subtours in the tour\n", - " 0.337091\n", + " 0.184545\n", " \n", " \n", " 26\n", " coef_alternative_specific_constant_for_return_...\n", " Alternative specific constant for return stops\n", - " -1.657817\n", + " -1.737740\n", " \n", " \n", " 27\n", " coef_alternative_specific_constant_for_the_tot...\n", " Alternative specific constant for the total nu...\n", - " 0.039441\n", + " -0.033904\n", " \n", " \n", " 28\n", " coef_alternative_specific_constant_for_return_...\n", " Alternative specific constant for return stops\n", - " -2.139000\n", + " -2.056255\n", " \n", " \n", " 29\n", " coef_alternative_specific_constant_for_outboun...\n", " Alternative specific constant for outbound stops\n", - " -0.741225\n", + " -0.817659\n", " \n", " \n", " 30\n", " coef_alternative_specific_constant_for_outboun...\n", " Alternative specific constant for outbound stops\n", - " -2.594489\n", + " -2.553493\n", " \n", " \n", " 31\n", " coef_alternative_specific_constant_for_the_tot...\n", " Alternative specific constant for the total nu...\n", - " 0.754748\n", + " 0.555526\n", " \n", " \n", " 32\n", " coef_alternative_specific_constant_for_outboun...\n", " Alternative specific constant for outbound stops\n", - " -3.934000\n", + " -3.914672\n", " \n", " \n", "\n", @@ -6515,36 +6388,36 @@ "0 Middle to Low Income HH 0.170000 \n", "1 Mid to High Income HH 0.230000 \n", "2 High Income HH 0.240000 \n", - "3 Number of HH Persons -0.328159 \n", - "4 Number of Students in HH 0.315297 \n", - "5 Presence of Kids between 0 and 4 (including) y... 0.557476 \n", - "6 Num kids between 5 and 15 (including) years old 0.089718 \n", - "7 Presence of kids between 5 and 15 (including) ... 0.117544 \n", - "8 Number of Adults (>= 16 years old) 0.074203 \n", - "9 Number of Cars > Number of Workers -0.065713 \n", - "10 Dummy for female 0.282632 \n", - "11 Dummy for all stops made by transit -0.672704 \n", - "12 Dummy for walking to all stops -1.491072 \n", - "13 Number of work tours undertaken by the person -0.174762 \n", + "3 Number of HH Persons -0.291501 \n", + "4 Number of Students in HH 0.206028 \n", + "5 Presence of Kids between 0 and 4 (including) y... 0.738257 \n", + "6 Num kids between 5 and 15 (including) years old 0.083356 \n", + "7 Presence of kids between 5 and 15 (including) ... 0.174006 \n", + "8 Number of Adults (>= 16 years old) 0.006177 \n", + "9 Number of Cars > Number of Workers 0.195317 \n", + "10 Dummy for female 0.231116 \n", + "11 Dummy for all stops made by transit -0.698140 \n", + "12 Dummy for walking to all stops -1.590379 \n", + "13 Number of work tours undertaken by the person -0.182288 \n", "14 Number of university tours tours undertaken by... -0.480000 \n", - "15 Number of school tours tours undertaken by the... 0.130473 \n", - "16 Number of escort tours tours undertaken by the... 0.097792 \n", - "17 Number of shop tours undertaken by the houshold -0.328294 \n", - "18 AM Peak departure between 6AM and 7 AM (includ... -1.998832 \n", - "19 Evening Arrival (>=19:00) Interacted with retu... 0.606441 \n", - "20 Dummy for the duration of the tour being equal... 0.713048 \n", - "21 dummy for distance less than 20 Miles -0.588175 \n", - "22 dummy for distance in miles 0.043974 \n", + "15 Number of school tours tours undertaken by the... -1.539830 \n", + "16 Number of escort tours tours undertaken by the... 0.285502 \n", + "17 Number of shop tours undertaken by the houshold 0.194165 \n", + "18 AM Peak departure between 6AM and 7 AM (includ... -1.913742 \n", + "19 Evening Arrival (>=19:00) Interacted with retu... 0.297829 \n", + "20 Dummy for the duration of the tour being equal... 0.629566 \n", + "21 dummy for distance less than 20 Miles -0.209813 \n", + "22 dummy for distance in miles 0.008199 \n", "23 No stops if tour mode is driveTransit -999.000000 \n", - "24 Alternative specific constant for return stops -0.447476 \n", - "25 Number of subtours in the tour 0.337091 \n", - "26 Alternative specific constant for return stops -1.657817 \n", - "27 Alternative specific constant for the total nu... 0.039441 \n", - "28 Alternative specific constant for return stops -2.139000 \n", - "29 Alternative specific constant for outbound stops -0.741225 \n", - "30 Alternative specific constant for outbound stops -2.594489 \n", - "31 Alternative specific constant for the total nu... 0.754748 \n", - "32 Alternative specific constant for outbound stops -3.934000 " + "24 Alternative specific constant for return stops -0.422070 \n", + "25 Number of subtours in the tour 0.184545 \n", + "26 Alternative specific constant for return stops -1.737740 \n", + "27 Alternative specific constant for the total nu... -0.033904 \n", + "28 Alternative specific constant for return stops -2.056255 \n", + "29 Alternative specific constant for outbound stops -0.817659 \n", + "30 Alternative specific constant for outbound stops -2.553493 \n", + "31 Alternative specific constant for the total nu... 0.555526 \n", + "32 Alternative specific constant for outbound stops -3.914672 " ] }, "execution_count": 12, @@ -6564,7 +6437,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -6578,7 +6451,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/22_trip_dest.ipynb b/activitysim/examples/example_estimation/notebooks/22_trip_dest.ipynb index 576e87bfe..2965cb74f 100644 --- a/activitysim/examples/example_estimation/notebooks/22_trip_dest.ipynb +++ b/activitysim/examples/example_estimation/notebooks/22_trip_dest.ipynb @@ -26,30 +26,74 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import larch # !conda install larch #for estimation\n", + "import larch as lx\n", "import pandas as pd\n", - "import numpy as np\n", - "import yaml \n", - "import larch.util.excel\n", - "import os" + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -72,10 +116,35 @@ "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_alternatives_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_choosers_combined.parquet\n", + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_landuse.csv\n", + "loading from output-est-mode/estimation_data_bundle/trip_destination/trip_destination_size_terms.csv\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jpn/Git/est-mode/activitysim/activitysim/estimation/larch/location_choice.py:548: UserWarning: Removed 5419 choosers with invalid (zero-sized) observed choice\n", + " return location_choice_model(\n" + ] + } + ], "source": [ "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -290,148 +359,118 @@ " \n", " \n", " trip_id\n", - " variable\n", - " 1\n", - " 2\n", - " 3\n", - " 4\n", - " 5\n", - " 6\n", - " 7\n", - " 8\n", - " ...\n", - " 181\n", - " 182\n", - " 183\n", - " 184\n", - " 185\n", - " 186\n", - " 187\n", - " 188\n", - " 189\n", - " 190\n", + " dest_taz\n", + " util_size_term\n", + " util_no_attractions\n", + " util_distance_inbound\n", + " util_distance_outbound\n", + " util_distance_joint\n", + " util_prox_home_outbound\n", + " util_prox_home_inbound\n", + " util_prox_dest_outbound\n", + " util_prox_dest_inbound\n", + " util_sample_of_alternatives_correction_factor\n", + " util_mode_choice_logsum_os\n", + " util_stop_not_accessible_by_this_tour_mode\n", + " util_mode_choice_logsum_sd\n", + " util_dest_not_accessible_by_this_tour_mode\n", " \n", " \n", " \n", " \n", " 0\n", - " 123229\n", - " util_dest_not_accessible_by_this_tour_mode\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " ...\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", + " 439241\n", + " 2\n", + " 6.117394\n", " False\n", + " 0.000000\n", + " 14.110000\n", + " 0.0\n", + " 6.89\n", + " 0.000000\n", + " 7.22\n", + " 0.00\n", + " 6.128602\n", + " -0.847005\n", " False\n", + " -0.633253\n", " False\n", " \n", " \n", " 1\n", - " 123229\n", - " util_distance_inbound\n", - " 6.390000343322754\n", - " 6.170000076293945\n", - " 5.920000076293945\n", - " 5.810000419616699\n", - " 5.299999713897705\n", - " 5.170000076293945\n", - " 4.840000152587891\n", - " 4.630000114440918\n", - " ...\n", - " 9.819999694824219\n", - " 11.25\n", - " 10.449999809265137\n", - " 8.970000267028809\n", - " 7.920000076293945\n", - " 9.600000381469727\n", - " 9.889999389648438\n", - " 10.079999923706055\n", - " 11.899999618530273\n", - " 12.170000076293945\n", + " 439241\n", + " 11\n", + " 7.726934\n", + " False\n", + " 0.000000\n", + " 12.280001\n", + " 0.0\n", + " 5.90\n", + " 0.000000\n", + " 6.38\n", + " 0.00\n", + " 3.637608\n", + " -0.558405\n", + " False\n", + " -0.497479\n", + " False\n", " \n", " \n", " 2\n", - " 123229\n", - " util_distance_joint\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 439241\n", + " 16\n", + " 7.935721\n", + " False\n", + " 0.000000\n", + " 14.280000\n", " 0.0\n", + " 6.81\n", + " 0.000000\n", + " 7.47\n", + " 0.00\n", + " 3.634621\n", + " -0.681632\n", + " False\n", + " -0.639591\n", + " False\n", " \n", " \n", " 3\n", - " 123229\n", - " util_distance_outbound\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", + " 439241\n", + " 21\n", + " 5.953480\n", + " False\n", + " 0.000000\n", + " 12.920000\n", " 0.0\n", + " 6.13\n", + " 0.000000\n", + " 6.79\n", + " 0.00\n", + " 5.476918\n", + " -0.536647\n", + " False\n", + " -0.524008\n", + " False\n", " \n", " \n", " 4\n", - " 123229\n", - " util_mode_choice_logsum_os\n", - " -1.1826465123669618\n", - " -1.1342039462845261\n", - " -1.0045888362609303\n", - " -0.9695035841251944\n", - " -0.9086842324484546\n", - " -0.7911335856893744\n", - " -1.0394341719374236\n", - " -0.735128183005223\n", - " ...\n", - " -0.5685844758479193\n", - " -0.7106540688185471\n", - " -0.6324772374186627\n", - " -0.5127860821542347\n", - " -0.427736842041275\n", - " -0.5989989879176718\n", - " -0.6352947097849363\n", - " -0.6732994275559964\n", - " -0.8319610659002946\n", - " -0.8302145411677482\n", + " 439241\n", + " 82\n", + " 5.890218\n", + " False\n", + " 0.000000\n", + " 9.790000\n", + " 0.0\n", + " 4.83\n", + " 0.000000\n", + " 4.96\n", + " 0.00\n", + " 5.218103\n", + " -0.383122\n", + " False\n", + " -0.265333\n", + " False\n", " \n", " \n", " ...\n", @@ -451,230 +490,213 @@ " ...\n", " ...\n", " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " \n", - " \n", - " 39139\n", - " 2478375757\n", - " util_prox_home_inbound\n", - " 5.659999847412109\n", - " 5.570000171661377\n", - " 5.5\n", - " 5.329999923706055\n", - " 5.119999885559082\n", - " 5.190000057220459\n", - " 5.019999980926514\n", - " 4.809999942779541\n", - " ...\n", - " 6.260000228881836\n", - " 5.440000057220459\n", - " 5.110000133514404\n", - " 4.889999866485596\n", - " 4.329999923706055\n", - " 4.5\n", - " 3.990000009536743\n", - " 3.4200000762939453\n", - " 4.159999847412109\n", - " 4.650000095367432\n", - " \n", - " \n", - " 39140\n", - " 2478375757\n", - " util_prox_home_outbound\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " ...\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", - " 0.0\n", " \n", " \n", - " 39141\n", - " 2478375757\n", - " util_sample_of_alternatives_correction_factor\n", - " 5.969689780743902\n", - " 5.229744858144034\n", - " 6.651885938411212\n", - " 5.457984599784746\n", - " 4.557500241901908\n", - " 5.683456777589848\n", - " 4.880351408439651\n", - " 5.056172176409885\n", - " ...\n", - " 6.167159960103807\n", - " 5.635222918217218\n", - " 4.9055149705471015\n", - " 5.197733187456251\n", - " 4.545857557157909\n", - " 5.146011961990624\n", - " 5.677734711636542\n", - " 4.0921031600858315\n", - " 5.525577058677637\n", - " 6.765177014979627\n", - " \n", - " \n", - " 39142\n", - " 2478375757\n", - " util_size_term\n", - " 5.8928092787280315\n", - " 6.61382841501164\n", - " 5.174023179275996\n", - " 6.331334576117736\n", - " 7.181350090272405\n", - " 6.062963941307298\n", - " 6.824432363972737\n", - " 6.596881001099327\n", - " ...\n", - " 5.988058753973149\n", - " 6.313073295919817\n", - " 6.959507591274848\n", - " 6.611773525937498\n", - " 7.122336273469753\n", - " 6.565080445969589\n", - " 5.957654370567811\n", - " 7.481461558469711\n", - " 6.2347224418357365\n", - " 5.096060413644514\n", - " \n", - " \n", - " 39143\n", - " 2478375757\n", - " util_stop_not_accessible_by_this_tour_mode\n", - " False\n", - " False\n", - " False\n", + " 854498\n", + " 2481262477\n", + " 1314\n", + " 6.565007\n", " False\n", + " 21.299999\n", + " 0.000000\n", + " 0.0\n", + " 0.00\n", + " 10.650000\n", + " 0.00\n", + " 10.65\n", + " 3.869640\n", + " -3.466365\n", " False\n", + " -3.466365\n", " False\n", + " \n", + " \n", + " 854499\n", + " 2481262477\n", + " 1315\n", + " 5.491167\n", " False\n", + " 14.500000\n", + " 0.000000\n", + " 0.0\n", + " 0.00\n", + " 7.250000\n", + " 0.00\n", + " 7.25\n", + " 2.986897\n", + " -2.475631\n", " False\n", - " ...\n", + " -2.476182\n", " False\n", + " \n", + " \n", + " 854500\n", + " 2481262477\n", + " 1318\n", + " 4.109496\n", " False\n", + " 35.799999\n", + " 0.000000\n", + " 0.0\n", + " 0.00\n", + " 17.900000\n", + " 0.00\n", + " 17.90\n", + " 7.056036\n", + " -6.066198\n", " False\n", + " -6.054759\n", " False\n", + " \n", + " \n", + " 854501\n", + " 2481262477\n", + " 1324\n", + " 5.586113\n", " False\n", + " 40.349998\n", + " 0.000000\n", + " 0.0\n", + " 0.00\n", + " 19.950001\n", + " 0.00\n", + " 20.40\n", + " 6.153502\n", + " -6.458255\n", " False\n", + " -6.443607\n", " False\n", + " \n", + " \n", + " 854502\n", + " 2481262477\n", + " 1361\n", + " 7.160701\n", " False\n", + " 60.360001\n", + " 0.000000\n", + " 0.0\n", + " 0.00\n", + " 30.180000\n", + " 0.00\n", + " 30.18\n", + " 7.103621\n", + " -9.888594\n", " False\n", + " -9.902823\n", " False\n", " \n", " \n", "\n", - "

39144 rows × 192 columns

\n", + "

854503 rows × 16 columns

\n", "" ], "text/plain": [ - " trip_id variable \\\n", - "0 123229 util_dest_not_accessible_by_this_tour_mode \n", - "1 123229 util_distance_inbound \n", - "2 123229 util_distance_joint \n", - "3 123229 util_distance_outbound \n", - "4 123229 util_mode_choice_logsum_os \n", - "... ... ... \n", - "39139 2478375757 util_prox_home_inbound \n", - "39140 2478375757 util_prox_home_outbound \n", - "39141 2478375757 util_sample_of_alternatives_correction_factor \n", - "39142 2478375757 util_size_term \n", - "39143 2478375757 util_stop_not_accessible_by_this_tour_mode \n", + " trip_id dest_taz util_size_term util_no_attractions \\\n", + "0 439241 2 6.117394 False \n", + "1 439241 11 7.726934 False \n", + "2 439241 16 7.935721 False \n", + "3 439241 21 5.953480 False \n", + "4 439241 82 5.890218 False \n", + "... ... ... ... ... \n", + "854498 2481262477 1314 6.565007 False \n", + "854499 2481262477 1315 5.491167 False \n", + "854500 2481262477 1318 4.109496 False \n", + "854501 2481262477 1324 5.586113 False \n", + "854502 2481262477 1361 7.160701 False \n", + "\n", + " util_distance_inbound util_distance_outbound util_distance_joint \\\n", + "0 0.000000 14.110000 0.0 \n", + "1 0.000000 12.280001 0.0 \n", + "2 0.000000 14.280000 0.0 \n", + "3 0.000000 12.920000 0.0 \n", + "4 0.000000 9.790000 0.0 \n", + "... ... ... ... \n", + "854498 21.299999 0.000000 0.0 \n", + "854499 14.500000 0.000000 0.0 \n", + "854500 35.799999 0.000000 0.0 \n", + "854501 40.349998 0.000000 0.0 \n", + "854502 60.360001 0.000000 0.0 \n", "\n", - " 1 2 3 \\\n", - "0 False False False \n", - "1 6.390000343322754 6.170000076293945 5.920000076293945 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 -1.1826465123669618 -1.1342039462845261 -1.0045888362609303 \n", - "... ... ... ... \n", - "39139 5.659999847412109 5.570000171661377 5.5 \n", - "39140 0.0 0.0 0.0 \n", - "39141 5.969689780743902 5.229744858144034 6.651885938411212 \n", - "39142 5.8928092787280315 6.61382841501164 5.174023179275996 \n", - "39143 False False False \n", + " util_prox_home_outbound util_prox_home_inbound \\\n", + "0 6.89 0.000000 \n", + "1 5.90 0.000000 \n", + "2 6.81 0.000000 \n", + "3 6.13 0.000000 \n", + "4 4.83 0.000000 \n", + "... ... ... \n", + "854498 0.00 10.650000 \n", + "854499 0.00 7.250000 \n", + "854500 0.00 17.900000 \n", + "854501 0.00 19.950001 \n", + "854502 0.00 30.180000 \n", "\n", - " 4 5 6 \\\n", - "0 False False False \n", - "1 5.810000419616699 5.299999713897705 5.170000076293945 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 -0.9695035841251944 -0.9086842324484546 -0.7911335856893744 \n", - "... ... ... ... \n", - "39139 5.329999923706055 5.119999885559082 5.190000057220459 \n", - "39140 0.0 0.0 0.0 \n", - "39141 5.457984599784746 4.557500241901908 5.683456777589848 \n", - "39142 6.331334576117736 7.181350090272405 6.062963941307298 \n", - "39143 False False False \n", + " util_prox_dest_outbound util_prox_dest_inbound \\\n", + "0 7.22 0.00 \n", + "1 6.38 0.00 \n", + "2 7.47 0.00 \n", + "3 6.79 0.00 \n", + "4 4.96 0.00 \n", + "... ... ... \n", + "854498 0.00 10.65 \n", + "854499 0.00 7.25 \n", + "854500 0.00 17.90 \n", + "854501 0.00 20.40 \n", + "854502 0.00 30.18 \n", "\n", - " 7 8 ... 181 \\\n", - "0 False False ... False \n", - "1 4.840000152587891 4.630000114440918 ... 9.819999694824219 \n", - "2 0.0 0.0 ... 0.0 \n", - "3 0.0 0.0 ... 0.0 \n", - "4 -1.0394341719374236 -0.735128183005223 ... -0.5685844758479193 \n", - "... ... ... ... ... \n", - "39139 5.019999980926514 4.809999942779541 ... 6.260000228881836 \n", - "39140 0.0 0.0 ... 0.0 \n", - "39141 4.880351408439651 5.056172176409885 ... 6.167159960103807 \n", - "39142 6.824432363972737 6.596881001099327 ... 5.988058753973149 \n", - "39143 False False ... False \n", + " util_sample_of_alternatives_correction_factor \\\n", + "0 6.128602 \n", + "1 3.637608 \n", + "2 3.634621 \n", + "3 5.476918 \n", + "4 5.218103 \n", + "... ... \n", + "854498 3.869640 \n", + "854499 2.986897 \n", + "854500 7.056036 \n", + "854501 6.153502 \n", + "854502 7.103621 \n", "\n", - " 182 183 184 \\\n", - "0 False False False \n", - "1 11.25 10.449999809265137 8.970000267028809 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 -0.7106540688185471 -0.6324772374186627 -0.5127860821542347 \n", - "... ... ... ... \n", - "39139 5.440000057220459 5.110000133514404 4.889999866485596 \n", - "39140 0.0 0.0 0.0 \n", - "39141 5.635222918217218 4.9055149705471015 5.197733187456251 \n", - "39142 6.313073295919817 6.959507591274848 6.611773525937498 \n", - "39143 False False False \n", + " util_mode_choice_logsum_os \\\n", + "0 -0.847005 \n", + "1 -0.558405 \n", + "2 -0.681632 \n", + "3 -0.536647 \n", + "4 -0.383122 \n", + "... ... \n", + "854498 -3.466365 \n", + "854499 -2.475631 \n", + "854500 -6.066198 \n", + "854501 -6.458255 \n", + "854502 -9.888594 \n", "\n", - " 185 186 187 \\\n", - "0 False False False \n", - "1 7.920000076293945 9.600000381469727 9.889999389648438 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 -0.427736842041275 -0.5989989879176718 -0.6352947097849363 \n", - "... ... ... ... \n", - "39139 4.329999923706055 4.5 3.990000009536743 \n", - "39140 0.0 0.0 0.0 \n", - "39141 4.545857557157909 5.146011961990624 5.677734711636542 \n", - "39142 7.122336273469753 6.565080445969589 5.957654370567811 \n", - "39143 False False False \n", + " util_stop_not_accessible_by_this_tour_mode \\\n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "... ... \n", + "854498 False \n", + "854499 False \n", + "854500 False \n", + "854501 False \n", + "854502 False \n", "\n", - " 188 189 190 \n", - "0 False False False \n", - "1 10.079999923706055 11.899999618530273 12.170000076293945 \n", - "2 0.0 0.0 0.0 \n", - "3 0.0 0.0 0.0 \n", - "4 -0.6732994275559964 -0.8319610659002946 -0.8302145411677482 \n", - "... ... ... ... \n", - "39139 3.4200000762939453 4.159999847412109 4.650000095367432 \n", - "39140 0.0 0.0 0.0 \n", - "39141 4.0921031600858315 5.525577058677637 6.765177014979627 \n", - "39142 7.481461558469711 6.2347224418357365 5.096060413644514 \n", - "39143 False False False \n", + " util_mode_choice_logsum_sd util_dest_not_accessible_by_this_tour_mode \n", + "0 -0.633253 False \n", + "1 -0.497479 False \n", + "2 -0.639591 False \n", + "3 -0.524008 False \n", + "4 -0.265333 False \n", + "... ... ... \n", + "854498 -3.466365 False \n", + "854499 -2.476182 False \n", + "854500 -6.054759 False \n", + "854501 -6.443607 False \n", + "854502 -9.902823 False \n", "\n", - "[39144 rows x 192 columns]" + "[854503 rows x 16 columns]" ] }, "execution_count": 6, @@ -724,130 +746,142 @@ " override_choice\n", " person_id\n", " household_id\n", - " tour_id\n", " primary_purpose\n", " trip_num\n", " outbound\n", " trip_count\n", + " destination\n", + " ...\n", " purpose\n", " next_trip_id\n", - " destination\n", - " origin\n", - " failed\n", " tour_mode\n", " trip_period\n", " is_joint\n", + " tour_leg_dest\n", + " purpose_index_num\n", + " tour_mode_is_walk\n", + " tour_mode_is_bike\n", " destination_logsum\n", " \n", " \n", " \n", " \n", " 0\n", - " 123229\n", - " 7\n", - " 69\n", - " 375\n", - " 375\n", - " 15403\n", - " othmaint\n", + " 439241\n", + " 93\n", + " 178\n", + " 1339\n", + " 1339\n", + " eatout\n", " 1\n", - " False\n", - " 3\n", + " True\n", + " 2\n", + " 187\n", + " ...\n", " shopping\n", - " 123230\n", - " 105\n", - " 67\n", - " False\n", + " 439242\n", " DRIVEALONEFREE\n", - " MD\n", + " PM\n", + " False\n", + " 187.0\n", + " 2\n", + " False\n", " False\n", " NaN\n", " \n", " \n", " 1\n", - " 123230\n", - " 9\n", - " 106\n", - " 375\n", - " 375\n", - " 15403\n", - " othmaint\n", + " 497189\n", + " 169\n", + " 99\n", + " 1515\n", + " 1515\n", + " shopping\n", + " 1\n", + " False\n", " 2\n", + " 170\n", + " ...\n", + " othdiscr\n", + " 497190\n", + " DRIVEALONEFREE\n", + " EV\n", " False\n", - " 3\n", - " eatout\n", - " 123231\n", - " 105\n", - " 69\n", + " 170.0\n", + " 6\n", " False\n", - " DRIVEALONEFREE\n", - " MD\n", " False\n", " NaN\n", " \n", " \n", " 2\n", - " 206561\n", - " 7\n", - " 9\n", - " 629\n", - " 629\n", - " 25820\n", - " univ\n", + " 536181\n", + " 184\n", + " 177\n", + " 1634\n", + " 1634\n", + " othmaint\n", " 1\n", - " True\n", + " False\n", " 2\n", - " escort\n", - " 206562\n", - " 12\n", - " 131\n", + " 178\n", + " ...\n", + " othmaint\n", + " 536182\n", + " DRIVEALONEFREE\n", + " PM\n", + " False\n", + " 178.0\n", + " 4\n", " False\n", - " WALK_HVY\n", - " MD\n", " False\n", " NaN\n", " \n", " \n", " 3\n", - " 265617\n", - " 141\n", - " 141\n", - " 809\n", - " 809\n", - " 33202\n", - " shopping\n", + " 593909\n", + " 183\n", + " 136\n", + " 1810\n", + " 1810\n", + " othmaint\n", + " 1\n", + " False\n", + " 3\n", + " 183\n", + " ...\n", + " escort\n", + " 593910\n", + " SHARED2FREE\n", + " AM\n", + " False\n", + " 183.0\n", " 1\n", - " True\n", - " 2\n", - " shopping\n", - " 265618\n", - " 117\n", - " 138\n", " False\n", - " DRIVEALONEFREE\n", - " MD\n", " False\n", " NaN\n", " \n", " \n", " 4\n", - " 265621\n", - " 127\n", - " 127\n", - " 809\n", - " 809\n", - " 33202\n", - " shopping\n", - " 1\n", - " False\n", + " 593910\n", + " 89\n", + " 188\n", + " 1810\n", + " 1810\n", + " othmaint\n", " 2\n", + " False\n", + " 3\n", + " 183\n", + " ...\n", " othmaint\n", - " 265622\n", - " 138\n", - " 117\n", + " 593911\n", + " SHARED2FREE\n", + " AM\n", + " False\n", + " 183.0\n", + " 4\n", " False\n", - " DRIVEALONEFREE\n", - " MD\n", " False\n", " NaN\n", " \n", @@ -872,176 +906,201 @@ " ...\n", " ...\n", " ...\n", + " ...\n", + " ...\n", " \n", " \n", - " 2791\n", - " 2473349145\n", - " 7\n", - " 121\n", - " 7540698\n", - " 2849363\n", - " 309168643\n", + " 36442\n", + " 2480879045\n", + " 1304\n", + " 1306\n", + " 7563655\n", + " 2872320\n", " othdiscr\n", " 1\n", - " True\n", + " False\n", " 2\n", - " social\n", - " 2473349146\n", - " 56\n", - " 92\n", + " 1293\n", + " ...\n", + " othdiscr\n", + " 2480879046\n", + " DRIVEALONEFREE\n", + " MD\n", + " False\n", + " 1293.0\n", + " 6\n", " False\n", - " SHARED3FREE\n", - " PM\n", " False\n", " NaN\n", " \n", " \n", - " 2792\n", - " 2473471869\n", - " 25\n", - " 134\n", - " 7541072\n", - " 2849737\n", - " 309183983\n", - " univ\n", + " 36443\n", + " 2480879069\n", + " 1298\n", + " 1299\n", + " 7563655\n", + " 2872320\n", + " othmaint\n", " 1\n", " False\n", + " 4\n", + " 1293\n", + " ...\n", + " shopping\n", + " 2480879070\n", + " DRIVEALONEFREE\n", + " PM\n", + " False\n", + " 1293.0\n", " 2\n", - " escort\n", - " 2473471870\n", - " 117\n", - " 107\n", " False\n", - " TAXI\n", - " AM\n", " False\n", " NaN\n", " \n", " \n", - " 2793\n", - " 2477980533\n", - " 7\n", - " 117\n", - " 7554818\n", - " 2863483\n", - " 309747566\n", + " 36444\n", + " 2480879070\n", + " 1291\n", + " 1293\n", + " 7563655\n", + " 2872320\n", " othmaint\n", - " 1\n", - " False\n", " 2\n", - " shopping\n", - " 2477980534\n", - " 20\n", - " 177\n", " False\n", + " 4\n", + " 1293\n", + " ...\n", + " eatout\n", + " 2480879071\n", " DRIVEALONEFREE\n", " PM\n", " False\n", + " 1293.0\n", + " 3\n", + " False\n", + " False\n", " NaN\n", " \n", " \n", - " 2794\n", - " 2478086525\n", - " 7\n", - " 48\n", - " 7555141\n", - " 2863806\n", - " 309760815\n", - " shopping\n", - " 1\n", + " 36445\n", + " 2480879071\n", + " 1293\n", + " 1293\n", + " 7563655\n", + " 2872320\n", + " othmaint\n", + " 3\n", + " False\n", + " 4\n", + " 1293\n", + " ...\n", + " othdiscr\n", + " 2480879072\n", + " DRIVEALONEFREE\n", + " PM\n", " False\n", - " 2\n", - " shopping\n", - " 2478086526\n", - " 85\n", - " 41\n", + " 1293.0\n", + " 6\n", " False\n", - " SHARED2FREE\n", - " PM\n", " False\n", " NaN\n", " \n", " \n", - " 2795\n", - " 2478375757\n", - " 126\n", - " 127\n", - " 7556023\n", - " 2864688\n", - " 309796969\n", + " 36446\n", + " 2481262477\n", + " 1309\n", + " 1302\n", + " 7564824\n", + " 2873489\n", " othdiscr\n", " 1\n", " False\n", " 2\n", - " escort\n", - " 2478375758\n", - " 136\n", - " 128\n", - " False\n", + " 1310\n", + " ...\n", + " shopping\n", + " 2481262478\n", " DRIVEALONEFREE\n", - " EV\n", + " PM\n", + " False\n", + " 1310.0\n", + " 2\n", + " False\n", " False\n", " NaN\n", " \n", " \n", "\n", - "

2796 rows × 19 columns

\n", + "

36447 rows × 23 columns

\n", "" ], "text/plain": [ - " trip_id model_choice override_choice person_id household_id \\\n", - "0 123229 7 69 375 375 \n", - "1 123230 9 106 375 375 \n", - "2 206561 7 9 629 629 \n", - "3 265617 141 141 809 809 \n", - "4 265621 127 127 809 809 \n", - "... ... ... ... ... ... \n", - "2791 2473349145 7 121 7540698 2849363 \n", - "2792 2473471869 25 134 7541072 2849737 \n", - "2793 2477980533 7 117 7554818 2863483 \n", - "2794 2478086525 7 48 7555141 2863806 \n", - "2795 2478375757 126 127 7556023 2864688 \n", + " trip_id model_choice override_choice person_id household_id \\\n", + "0 439241 93 178 1339 1339 \n", + "1 497189 169 99 1515 1515 \n", + "2 536181 184 177 1634 1634 \n", + "3 593909 183 136 1810 1810 \n", + "4 593910 89 188 1810 1810 \n", + "... ... ... ... ... ... \n", + "36442 2480879045 1304 1306 7563655 2872320 \n", + "36443 2480879069 1298 1299 7563655 2872320 \n", + "36444 2480879070 1291 1293 7563655 2872320 \n", + "36445 2480879071 1293 1293 7563655 2872320 \n", + "36446 2481262477 1309 1302 7564824 2873489 \n", "\n", - " tour_id primary_purpose trip_num outbound trip_count purpose \\\n", - "0 15403 othmaint 1 False 3 shopping \n", - "1 15403 othmaint 2 False 3 eatout \n", - "2 25820 univ 1 True 2 escort \n", - "3 33202 shopping 1 True 2 shopping \n", - "4 33202 shopping 1 False 2 othmaint \n", - "... ... ... ... ... ... ... \n", - "2791 309168643 othdiscr 1 True 2 social \n", - "2792 309183983 univ 1 False 2 escort \n", - "2793 309747566 othmaint 1 False 2 shopping \n", - "2794 309760815 shopping 1 False 2 shopping \n", - "2795 309796969 othdiscr 1 False 2 escort \n", + " primary_purpose trip_num outbound trip_count destination ... \\\n", + "0 eatout 1 True 2 187 ... \n", + "1 shopping 1 False 2 170 ... \n", + "2 othmaint 1 False 2 178 ... \n", + "3 othmaint 1 False 3 183 ... \n", + "4 othmaint 2 False 3 183 ... \n", + "... ... ... ... ... ... ... \n", + "36442 othdiscr 1 False 2 1293 ... \n", + "36443 othmaint 1 False 4 1293 ... \n", + "36444 othmaint 2 False 4 1293 ... \n", + "36445 othmaint 3 False 4 1293 ... \n", + "36446 othdiscr 1 False 2 1310 ... \n", "\n", - " next_trip_id destination origin failed tour_mode trip_period \\\n", - "0 123230 105 67 False DRIVEALONEFREE MD \n", - "1 123231 105 69 False DRIVEALONEFREE MD \n", - "2 206562 12 131 False WALK_HVY MD \n", - "3 265618 117 138 False DRIVEALONEFREE MD \n", - "4 265622 138 117 False DRIVEALONEFREE MD \n", - "... ... ... ... ... ... ... \n", - "2791 2473349146 56 92 False SHARED3FREE PM \n", - "2792 2473471870 117 107 False TAXI AM \n", - "2793 2477980534 20 177 False DRIVEALONEFREE PM \n", - "2794 2478086526 85 41 False SHARED2FREE PM \n", - "2795 2478375758 136 128 False DRIVEALONEFREE EV \n", + " purpose next_trip_id tour_mode trip_period is_joint \\\n", + "0 shopping 439242 DRIVEALONEFREE PM False \n", + "1 othdiscr 497190 DRIVEALONEFREE EV False \n", + "2 othmaint 536182 DRIVEALONEFREE PM False \n", + "3 escort 593910 SHARED2FREE AM False \n", + "4 othmaint 593911 SHARED2FREE AM False \n", + "... ... ... ... ... ... \n", + "36442 othdiscr 2480879046 DRIVEALONEFREE MD False \n", + "36443 shopping 2480879070 DRIVEALONEFREE PM False \n", + "36444 eatout 2480879071 DRIVEALONEFREE PM False \n", + "36445 othdiscr 2480879072 DRIVEALONEFREE PM False \n", + "36446 shopping 2481262478 DRIVEALONEFREE PM False \n", "\n", - " is_joint destination_logsum \n", - "0 False NaN \n", - "1 False NaN \n", - "2 False NaN \n", - "3 False NaN \n", - "4 False NaN \n", - "... ... ... \n", - "2791 False NaN \n", - "2792 False NaN \n", - "2793 False NaN \n", - "2794 False NaN \n", - "2795 False NaN \n", + " tour_leg_dest purpose_index_num tour_mode_is_walk tour_mode_is_bike \\\n", + "0 187.0 2 False False \n", + "1 170.0 6 False False \n", + "2 178.0 4 False False \n", + "3 183.0 1 False False \n", + "4 183.0 4 False False \n", + "... ... ... ... ... \n", + "36442 1293.0 6 False False \n", + "36443 1293.0 2 False False \n", + "36444 1293.0 3 False False \n", + "36445 1293.0 6 False False \n", + "36446 1310.0 2 False False \n", "\n", - "[2796 rows x 19 columns]" + " destination_logsum \n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "... ... \n", + "36442 NaN \n", + "36443 NaN \n", + "36444 NaN \n", + "36445 NaN \n", + "36446 NaN \n", + "\n", + "[36447 rows x 23 columns]" ] }, "execution_count": 7, @@ -1148,9 +1207,9 @@ " 7\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 3\n", " 5.89564\n", " 2.875000\n", @@ -1172,9 +1231,9 @@ " 19\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.84871\n", " 5.195214\n", @@ -1196,9 +1255,9 @@ " 38\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.53231\n", " 80.470405\n", @@ -1220,9 +1279,9 @@ " 20\n", " ...\n", " 0\n", + " 0.0\n", " 0.00000\n", - " 0.00000\n", - " 0.00000\n", + " 0.0\n", " 2\n", " 5.64330\n", " 7.947368\n", @@ -1244,9 +1303,9 @@ " 86\n", " ...\n", " 0\n", - " 0.00000\n", + " 0.0\n", " 72.14684\n", - " 0.00000\n", + " 0.0\n", " 1\n", " 5.52555\n", " 38.187500\n", @@ -1279,188 +1338,188 @@ " ...\n", " \n", " \n", - " 186\n", - " 4\n", - " 4\n", - " 1\n", - " 2779\n", - " 8062\n", - " 376.0\n", - " 172.0\n", - " 15.00000\n", - " 1760\n", - " 1178\n", + " 1450\n", + " 34\n", + " 34\n", + " 9\n", + " 2724\n", + " 6493\n", + " 1320.0\n", + " 630.0\n", + " 69.00000\n", + " 1046\n", + " 1013\n", " ...\n", - 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190 rows × 28 columns

\n", + "

1454 rows × 28 columns

\n", "" ], "text/plain": [ - " DISTRICT SD county_id TOTHH TOTPOP TOTACRE RESACRE CIACRE \\\n", - "zone_id \n", - "1 1 1 1 46 82 20.3 1.0 15.00000 \n", - "2 1 1 1 134 240 31.1 1.0 24.79297 \n", - "3 1 1 1 267 476 14.7 1.0 2.31799 \n", - "4 1 1 1 151 253 19.3 1.0 18.00000 \n", - "5 1 1 1 611 1069 52.7 1.0 15.00000 \n", - "... ... .. ... ... ... ... ... ... \n", - "186 4 4 1 2779 8062 376.0 172.0 15.00000 \n", - "187 4 4 1 1492 4139 214.0 116.0 10.00000 \n", - "188 4 4 1 753 4072 232.0 11.0 178.00000 \n", - "189 4 4 1 3546 8476 201.0 72.0 6.00000 \n", - "190 4 4 1 968 1647 1381.0 14.0 28.00000 \n", + " DISTRICT SD county_id TOTHH TOTPOP TOTACRE RESACRE CIACRE \\\n", + "zone_id \n", + "1 1 1 1 46 82 20.3 1.0 15.00000 \n", + "2 1 1 1 134 240 31.1 1.0 24.79297 \n", + "3 1 1 1 267 476 14.7 1.0 2.31799 \n", + "4 1 1 1 151 253 19.3 1.0 18.00000 \n", + "5 1 1 1 611 1069 52.7 1.0 15.00000 \n", + "... ... .. ... ... ... ... ... ... \n", + "1450 34 34 9 2724 6493 1320.0 630.0 69.00000 \n", + "1451 34 34 9 2016 4835 664.0 379.0 43.00000 \n", + "1452 34 34 9 2178 5055 1068.0 602.0 35.00000 \n", + "1453 34 34 9 298 779 14195.0 429.0 4.00000 \n", + "1454 34 34 9 1068 2337 10469.0 1114.0 27.00000 \n", "\n", - " TOTEMP AGE0519 ... area_type HSENROLL COLLFTE \\\n", - "zone_id ... \n", - "1 27318 7 ... 0 0.00000 0.00000 \n", - "2 42078 19 ... 0 0.00000 0.00000 \n", - "3 2445 38 ... 0 0.00000 0.00000 \n", - "4 22434 20 ... 0 0.00000 0.00000 \n", - "5 15662 86 ... 0 0.00000 72.14684 \n", - "... ... ... ... ... ... ... \n", - "186 1760 1178 ... 3 0.00000 0.00000 \n", - "187 808 603 ... 3 0.00000 0.00000 \n", - "188 4502 1117 ... 2 3961.04761 17397.79102 \n", - "189 226 1057 ... 2 0.00000 0.00000 \n", - "190 1010 114 ... 3 0.00000 0.00000 \n", + " TOTEMP AGE0519 ... area_type HSENROLL COLLFTE COLLPTE \\\n", + "zone_id ... \n", + "1 27318 7 ... 0 0.0 0.00000 0.0 \n", + "2 42078 19 ... 0 0.0 0.00000 0.0 \n", + "3 2445 38 ... 0 0.0 0.00000 0.0 \n", + "4 22434 20 ... 0 0.0 0.00000 0.0 \n", + "5 15662 86 ... 0 0.0 72.14684 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1450 1046 1013 ... 4 0.0 0.00000 0.0 \n", + "1451 757 757 ... 4 0.0 0.00000 0.0 \n", + "1452 2110 789 ... 4 0.0 0.00000 0.0 \n", + "1453 922 88 ... 5 0.0 0.00000 0.0 \n", + "1454 607 418 ... 5 0.0 0.00000 0.0 \n", "\n", - " COLLPTE TOPOLOGY TERMINAL household_density \\\n", - "zone_id \n", - "1 0.00000 3 5.89564 2.875000 \n", - "2 0.00000 1 5.84871 5.195214 \n", - "3 0.00000 1 5.53231 80.470405 \n", - "4 0.00000 2 5.64330 7.947368 \n", - "5 0.00000 1 5.52555 38.187500 \n", - "... ... ... ... ... \n", - "186 0.00000 1 2.04173 14.860963 \n", - "187 0.00000 2 1.73676 11.841270 \n", - "188 11152.93652 1 2.28992 3.984127 \n", - "189 0.00000 1 2.88773 45.461538 \n", - "190 0.00000 1 2.60309 23.047619 \n", + " TOPOLOGY TERMINAL household_density employment_density \\\n", + "zone_id \n", + "1 3 5.89564 2.875000 1707.375000 \n", + "2 1 5.84871 5.195214 1631.374751 \n", + "3 1 5.53231 80.470405 736.891913 \n", + "4 2 5.64330 7.947368 1180.736842 \n", + "5 1 5.52555 38.187500 978.875000 \n", + "... ... ... ... ... \n", + "1450 1 1.12116 3.896996 1.496423 \n", + "1451 1 1.17116 4.777251 1.793839 \n", + "1452 1 1.17587 3.419152 3.312402 \n", + "1453 1 1.01972 0.688222 2.129330 \n", + "1454 1 0.95542 0.936021 0.531989 \n", "\n", - " employment_density density_index is_cbd \n", - "zone_id \n", - "1 1707.375000 2.870167 False \n", - "2 1631.374751 5.178722 False \n", - "3 736.891913 72.547987 False \n", - "4 1180.736842 7.894233 False \n", - "5 978.875000 36.753679 False \n", - "... ... ... ... \n", - "186 9.411765 5.762347 False \n", - "187 6.412698 4.159890 False \n", - "188 23.820106 3.413233 False \n", - "189 2.897436 2.723836 False \n", - "190 24.047619 11.768501 False \n", + " density_index is_cbd \n", + "zone_id \n", + "1 2.870167 False \n", + "2 5.178722 False \n", + "3 72.547987 False \n", + "4 7.894233 False \n", + "5 36.753679 False \n", + "... ... ... \n", + "1450 1.081235 False \n", + "1451 1.304140 False \n", + "1452 1.682465 False \n", + "1453 0.520115 False \n", + "1454 0.339203 False \n", "\n", - "[190 rows x 28 columns]" + "[1454 rows x 28 columns]" ] }, "execution_count": 8, @@ -1541,7 +1600,7 @@ " 1\n", " util_no_attractions\n", " no attractions\n", - " @size_terms.get(df.dest_taz, df.purpose) == 0\n", + " @size_terms.get(df.dest_taz, df.purpose) == 0 ...\n", " coef_UNAVAILABLE\n", " coef_UNAVAILABLE\n", " coef_UNAVAILABLE\n", @@ -1784,7 +1843,7 @@ "\n", " Expression \\\n", "0 @np.log1p(size_terms.get(df.dest_taz, df.purpo... \n", - "1 @size_terms.get(df.dest_taz, df.purpose) == 0 \n", + "1 @size_terms.get(df.dest_taz, df.purpose) == 0 ... \n", "2 @(~df.is_joint & ~df.outbound) * (_od_DIST + _... \n", "3 @(~df.is_joint & df.outbound) * (_od_DIST + _d... \n", "4 @df.is_joint * (_od_DIST + _dp_DIST) \n", @@ -2112,13 +2171,6 @@ "execution_count": 11, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n" - ] - }, { "data": { "text/html": [ @@ -2134,7 +2186,7 @@ { "data": { "text/html": [ - "

Best LL = -12569.486099970745

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Best LL = -78919.86749443343

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" -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -2.099140\n", " \n", " \n", " escort_TOTHH\n", " -6.907755\n", " -6.907755\n", + " -6.907755\n", + " -6.907755\n", + " -6.907755\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -6.907755\n", " \n", " \n", " othdiscr_HEREMPN\n", - " -6.000000\n", + " -4.394168\n", + " -4.394168\n", " -1.301953\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " othdiscr_HSENROLL\n", - " -6.000000\n", + " -3.310820\n", + " -3.310820\n", " -2.322788\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " othdiscr_OTHEMPN\n", - " -4.741924\n", + " -2.825965\n", + " -2.825965\n", " -1.801810\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -4.741924\n", " \n", " \n", " othdiscr_RETEMPN\n", - " -0.420810\n", + " -2.884521\n", + " -2.884521\n", " -1.551169\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -0.420810\n", " \n", " \n", " othdiscr_TOTHH\n", " -1.378326\n", " -1.378326\n", + " -1.378326\n", + " -1.378326\n", + " -1.378326\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -1.378326\n", " \n", " \n", " othmaint_HEREMPN\n", - " -6.000000\n", + " -1.693356\n", + " -1.693356\n", " -0.657780\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " othmaint_RETEMPN\n", - " -4.468097\n", + " -0.351270\n", + " -0.351270\n", " -0.731888\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -4.468097\n", " \n", " \n", " othmaint_TOTHH\n", " -6.907755\n", " -6.907755\n", + " -6.907755\n", + " -6.907755\n", + " -6.907755\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -6.907755\n", " \n", " \n", " shopping_RETEMPN\n", " -6.000000\n", + " -6.000000\n", " -0.001001\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " shopping_TOTHH\n", " -6.907755\n", " -6.907755\n", + " -6.907755\n", + " -6.907755\n", + " -6.907755\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -6.907755\n", " \n", " \n", " social_HEREMPN\n", - " -6.000000\n", + " -1.516222\n", + " -1.516222\n", " -0.738145\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " social_RETEMPN\n", - " -3.463457\n", + " -0.098839\n", + " -0.098839\n", " -0.652005\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -3.463457\n", " \n", " \n", " social_TOTHH\n", " -6.907755\n", " -6.907755\n", + " -6.907755\n", + " -6.907755\n", + " -6.907755\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -6.907755\n", " \n", " \n", " univ_COLLFTE\n", " -6.000000\n", + " -6.000000\n", " -0.524249\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " univ_COLLPTE\n", " -6.000000\n", + " -6.000000\n", " -0.896488\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " univ_TOTHH\n", " -6.907755\n", " -6.907755\n", + " -6.907755\n", + " -6.907755\n", + " -6.907755\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " -6.907755\n", " \n", " \n", " work_AGREMPN\n", - " 1.145159\n", + " 0.122431\n", + " 0.122431\n", " 0.000000\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " 1.145159\n", " \n", " \n", " work_FPSEMPN\n", " -6.000000\n", + " -6.000000\n", " 0.000000\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " work_HEREMPN\n", - " -4.551520\n", + " -1.959508\n", + " -1.959508\n", " 0.000000\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -4.551520\n", " \n", " \n", " work_MWTEMPN\n", - " -6.000000\n", + " -5.322959\n", + " -5.322959\n", " 0.000000\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -6.000000\n", " \n", " \n", " work_OTHEMPN\n", - " -5.205310\n", + " -2.512682\n", + " -2.512682\n", " 0.000000\n", + " -6.000000\n", + " 6.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 0\n", - " \n", - " -5.205310\n", " \n", " \n", " work_RETEMPN\n", " 0.000000\n", " 0.000000\n", + " 0.000000\n", + " 0.000000\n", + " 0.000000\n", " 0.0\n", - " -6.0\n", - " 6.0\n", " 1\n", - " \n", - " 0.000000\n", " \n", " \n", "\n", "" ], "text/plain": [ - " value initvalue nullvalue minimum \\\n", - "coef_UNAVAILABLE -999.000000 -999.000000 0.0 NaN \n", - "coef_distance_joint -0.376392 -0.123800 0.0 NaN \n", - "coef_mode_choice_logsum 0.163028 1.821000 0.0 NaN \n", - "coef_one 1.000000 1.000000 0.0 NaN \n", - "coef_prox_dest_outbound_work -0.359504 -0.260000 0.0 NaN \n", - "coef_prox_home_inbound_work -0.174104 -0.150000 0.0 NaN \n", - "coef_prox_home_outbound_work -0.522711 -0.380000 0.0 NaN \n", - "coef_util_distance_atwork -0.122335 -0.122335 0.0 NaN \n", - "coef_util_distance_eatout -0.366193 -0.102900 0.0 NaN \n", - "coef_util_distance_escort -0.337785 -0.149100 0.0 NaN \n", - "coef_util_distance_othdiscr -0.408787 -0.126172 0.0 NaN \n", - "coef_util_distance_othmaint -0.257971 -0.096200 0.0 NaN \n", - "coef_util_distance_school -0.105600 -0.105600 0.0 NaN \n", - "coef_util_distance_shopping -0.390483 -0.119200 0.0 NaN \n", - "coef_util_distance_social -0.338764 -0.132900 0.0 NaN \n", - "coef_util_distance_univ -0.186380 -0.061300 0.0 NaN \n", - "coef_util_distance_work_inbound -0.094761 0.147813 0.0 NaN \n", - "coef_util_distance_work_outbound -0.300511 -0.049726 0.0 NaN \n", - "eatout_HEREMPN -4.274182 -1.354796 0.0 -6.0 \n", - "eatout_RETEMPN -0.298406 -0.298406 0.0 -6.0 \n", - "escort_AGE0519 -1.513508 -0.767871 0.0 -6.0 \n", - "escort_HEREMPN -6.000000 -1.937942 0.0 -6.0 \n", - "escort_HSENROLL -3.172185 -1.795767 0.0 -6.0 \n", - "escort_RETEMPN -2.099140 -1.491655 0.0 -6.0 \n", - "escort_TOTHH -6.907755 -6.907755 0.0 -6.0 \n", - "othdiscr_HEREMPN -6.000000 -1.301953 0.0 -6.0 \n", - "othdiscr_HSENROLL -6.000000 -2.322788 0.0 -6.0 \n", - "othdiscr_OTHEMPN -4.741924 -1.801810 0.0 -6.0 \n", - "othdiscr_RETEMPN -0.420810 -1.551169 0.0 -6.0 \n", - "othdiscr_TOTHH -1.378326 -1.378326 0.0 -6.0 \n", - "othmaint_HEREMPN -6.000000 -0.657780 0.0 -6.0 \n", - "othmaint_RETEMPN -4.468097 -0.731888 0.0 -6.0 \n", - "othmaint_TOTHH -6.907755 -6.907755 0.0 -6.0 \n", - "shopping_RETEMPN -6.000000 -0.001001 0.0 -6.0 \n", - "shopping_TOTHH -6.907755 -6.907755 0.0 -6.0 \n", - "social_HEREMPN -6.000000 -0.738145 0.0 -6.0 \n", - "social_RETEMPN -3.463457 -0.652005 0.0 -6.0 \n", - "social_TOTHH -6.907755 -6.907755 0.0 -6.0 \n", - "univ_COLLFTE -6.000000 -0.524249 0.0 -6.0 \n", - "univ_COLLPTE -6.000000 -0.896488 0.0 -6.0 \n", - "univ_TOTHH -6.907755 -6.907755 0.0 -6.0 \n", - "work_AGREMPN 1.145159 0.000000 0.0 -6.0 \n", - "work_FPSEMPN -6.000000 0.000000 0.0 -6.0 \n", - "work_HEREMPN -4.551520 0.000000 0.0 -6.0 \n", - "work_MWTEMPN -6.000000 0.000000 0.0 -6.0 \n", - "work_OTHEMPN -5.205310 0.000000 0.0 -6.0 \n", - "work_RETEMPN 0.000000 0.000000 0.0 -6.0 \n", + " value best initvalue \\\n", + "param_name \n", + "coef_UNAVAILABLE -999.000000 -999.000000 -999.000000 \n", + "coef_distance_joint -0.222590 -0.222590 -0.123800 \n", + "coef_mode_choice_logsum 0.908189 0.908189 1.821000 \n", + "coef_one 1.000000 1.000000 1.000000 \n", + "coef_prox_dest_outbound_work -0.278949 -0.278949 -0.260000 \n", + "coef_prox_home_inbound_work -0.121975 -0.121975 -0.150000 \n", + "coef_prox_home_outbound_work -0.419012 -0.419012 -0.380000 \n", + "coef_util_distance_atwork -0.122335 -0.122335 -0.122335 \n", + "coef_util_distance_eatout -0.219723 -0.219723 -0.102900 \n", + "coef_util_distance_escort -0.235858 -0.235858 -0.149100 \n", + "coef_util_distance_othdiscr -0.241573 -0.241573 -0.126172 \n", + "coef_util_distance_othmaint -0.177610 -0.177610 -0.096200 \n", + "coef_util_distance_school -0.105600 -0.105600 -0.105600 \n", + "coef_util_distance_shopping -0.227090 -0.227090 -0.119200 \n", + "coef_util_distance_social -0.227558 -0.227558 -0.132900 \n", + "coef_util_distance_univ -0.139388 -0.139388 -0.061300 \n", + "coef_util_distance_work_inbound 0.089849 0.089849 0.147813 \n", + "coef_util_distance_work_outbound -0.138174 -0.138174 -0.049726 \n", + "eatout_HEREMPN -2.550718 -2.550718 -1.354796 \n", + "eatout_RETEMPN -0.298406 -0.298406 -0.298406 \n", + "escort_AGE0519 -0.039579 -0.039579 -0.767871 \n", + "escort_HEREMPN -2.848681 -2.848681 -1.937942 \n", + "escort_HSENROLL -2.260284 -2.260284 -1.795768 \n", + "escort_RETEMPN -0.886457 -0.886457 -1.491655 \n", + "escort_TOTHH -6.907755 -6.907755 -6.907755 \n", + "othdiscr_HEREMPN -4.394168 -4.394168 -1.301953 \n", + "othdiscr_HSENROLL -3.310820 -3.310820 -2.322788 \n", + "othdiscr_OTHEMPN -2.825965 -2.825965 -1.801810 \n", + "othdiscr_RETEMPN -2.884521 -2.884521 -1.551169 \n", + "othdiscr_TOTHH -1.378326 -1.378326 -1.378326 \n", + "othmaint_HEREMPN -1.693356 -1.693356 -0.657780 \n", + "othmaint_RETEMPN -0.351270 -0.351270 -0.731888 \n", + "othmaint_TOTHH -6.907755 -6.907755 -6.907755 \n", + "shopping_RETEMPN -6.000000 -6.000000 -0.001001 \n", + "shopping_TOTHH -6.907755 -6.907755 -6.907755 \n", + "social_HEREMPN -1.516222 -1.516222 -0.738145 \n", + "social_RETEMPN -0.098839 -0.098839 -0.652005 \n", + "social_TOTHH -6.907755 -6.907755 -6.907755 \n", + "univ_COLLFTE -6.000000 -6.000000 -0.524249 \n", + "univ_COLLPTE -6.000000 -6.000000 -0.896488 \n", + "univ_TOTHH -6.907755 -6.907755 -6.907755 \n", + "work_AGREMPN 0.122431 0.122431 0.000000 \n", + "work_FPSEMPN -6.000000 -6.000000 0.000000 \n", + "work_HEREMPN -1.959508 -1.959508 0.000000 \n", + "work_MWTEMPN -5.322959 -5.322959 0.000000 \n", + "work_OTHEMPN -2.512682 -2.512682 0.000000 \n", + "work_RETEMPN 0.000000 0.000000 0.000000 \n", "\n", - " maximum holdfast note best \n", - "coef_UNAVAILABLE NaN 1 -999.000000 \n", - "coef_distance_joint NaN 0 -0.376392 \n", - "coef_mode_choice_logsum NaN 0 0.163028 \n", - "coef_one NaN 1 1.000000 \n", - "coef_prox_dest_outbound_work NaN 0 -0.359504 \n", - "coef_prox_home_inbound_work NaN 0 -0.174104 \n", - "coef_prox_home_outbound_work NaN 0 -0.522711 \n", - "coef_util_distance_atwork NaN 0 -0.122335 \n", - "coef_util_distance_eatout NaN 0 -0.366193 \n", - "coef_util_distance_escort NaN 0 -0.337785 \n", - "coef_util_distance_othdiscr NaN 0 -0.408787 \n", - "coef_util_distance_othmaint NaN 0 -0.257971 \n", - "coef_util_distance_school NaN 0 -0.105600 \n", - "coef_util_distance_shopping NaN 0 -0.390483 \n", - "coef_util_distance_social NaN 0 -0.338764 \n", - "coef_util_distance_univ NaN 0 -0.186380 \n", - "coef_util_distance_work_inbound NaN 0 -0.094761 \n", - "coef_util_distance_work_outbound NaN 0 -0.300511 \n", - "eatout_HEREMPN 6.0 0 -4.274182 \n", - "eatout_RETEMPN 6.0 1 -0.298406 \n", - "escort_AGE0519 6.0 0 -1.513508 \n", - "escort_HEREMPN 6.0 0 -6.000000 \n", - "escort_HSENROLL 6.0 0 -3.172185 \n", - "escort_RETEMPN 6.0 0 -2.099140 \n", - "escort_TOTHH 6.0 1 -6.907755 \n", - "othdiscr_HEREMPN 6.0 0 -6.000000 \n", - "othdiscr_HSENROLL 6.0 0 -6.000000 \n", - "othdiscr_OTHEMPN 6.0 0 -4.741924 \n", - "othdiscr_RETEMPN 6.0 0 -0.420810 \n", - "othdiscr_TOTHH 6.0 1 -1.378326 \n", - "othmaint_HEREMPN 6.0 0 -6.000000 \n", - "othmaint_RETEMPN 6.0 0 -4.468097 \n", - "othmaint_TOTHH 6.0 1 -6.907755 \n", - "shopping_RETEMPN 6.0 0 -6.000000 \n", - "shopping_TOTHH 6.0 1 -6.907755 \n", - "social_HEREMPN 6.0 0 -6.000000 \n", - "social_RETEMPN 6.0 0 -3.463457 \n", - "social_TOTHH 6.0 1 -6.907755 \n", - "univ_COLLFTE 6.0 0 -6.000000 \n", - "univ_COLLPTE 6.0 0 -6.000000 \n", - "univ_TOTHH 6.0 1 -6.907755 \n", - "work_AGREMPN 6.0 0 1.145159 \n", - "work_FPSEMPN 6.0 0 -6.000000 \n", - "work_HEREMPN 6.0 0 -4.551520 \n", - "work_MWTEMPN 6.0 0 -6.000000 \n", - "work_OTHEMPN 6.0 0 -5.205310 \n", - "work_RETEMPN 6.0 1 0.000000 " + " minimum maximum nullvalue holdfast \n", + "param_name \n", + "coef_UNAVAILABLE -999.000000 -999.000000 0.0 1 \n", + "coef_distance_joint -25.000000 25.000000 0.0 0 \n", + "coef_mode_choice_logsum -25.000000 25.000000 0.0 0 \n", + "coef_one 1.000000 1.000000 0.0 1 \n", + "coef_prox_dest_outbound_work -25.000000 25.000000 0.0 0 \n", + "coef_prox_home_inbound_work -25.000000 25.000000 0.0 0 \n", + "coef_prox_home_outbound_work -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_atwork -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_eatout -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_escort -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_othdiscr -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_othmaint -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_school -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_shopping -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_social -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_univ -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_work_inbound -25.000000 25.000000 0.0 0 \n", + "coef_util_distance_work_outbound -25.000000 25.000000 0.0 0 \n", + "eatout_HEREMPN -6.000000 6.000000 0.0 0 \n", + "eatout_RETEMPN -0.298406 -0.298406 0.0 1 \n", + "escort_AGE0519 -6.000000 6.000000 0.0 0 \n", + "escort_HEREMPN -6.000000 6.000000 0.0 0 \n", + "escort_HSENROLL -6.000000 6.000000 0.0 0 \n", + "escort_RETEMPN -6.000000 6.000000 0.0 0 \n", + "escort_TOTHH -6.907755 -6.907755 0.0 1 \n", + "othdiscr_HEREMPN -6.000000 6.000000 0.0 0 \n", + "othdiscr_HSENROLL -6.000000 6.000000 0.0 0 \n", + "othdiscr_OTHEMPN -6.000000 6.000000 0.0 0 \n", + "othdiscr_RETEMPN -6.000000 6.000000 0.0 0 \n", + "othdiscr_TOTHH -1.378326 -1.378326 0.0 1 \n", + "othmaint_HEREMPN -6.000000 6.000000 0.0 0 \n", + "othmaint_RETEMPN -6.000000 6.000000 0.0 0 \n", + "othmaint_TOTHH -6.907755 -6.907755 0.0 1 \n", + "shopping_RETEMPN -6.000000 6.000000 0.0 0 \n", + "shopping_TOTHH -6.907755 -6.907755 0.0 1 \n", + "social_HEREMPN -6.000000 6.000000 0.0 0 \n", + "social_RETEMPN -6.000000 6.000000 0.0 0 \n", + "social_TOTHH -6.907755 -6.907755 0.0 1 \n", + "univ_COLLFTE -6.000000 6.000000 0.0 0 \n", + "univ_COLLPTE -6.000000 6.000000 0.0 0 \n", + "univ_TOTHH -6.907755 -6.907755 0.0 1 \n", + "work_AGREMPN -6.000000 6.000000 0.0 0 \n", + "work_FPSEMPN -6.000000 6.000000 0.0 0 \n", + "work_HEREMPN -6.000000 6.000000 0.0 0 \n", + "work_MWTEMPN -6.000000 6.000000 0.0 0 \n", + "work_OTHEMPN -6.000000 6.000000 0.0 0 \n", + "work_RETEMPN 0.000000 0.000000 0.0 1 " ] }, "metadata": {}, @@ -2803,12 +2819,8 @@ "name": "stderr", "output_type": "stream", "text": [ - ":1: PossibleOverspecification: WARNING: Model is possibly over-specified (hessian is nearly singular).\n", - " model.estimate(method='SLSQP', options={'maxiter':1000})\n", - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/larch/larch/linalg/__init__.py:18: UserWarning: minimum eig 8.29804005517378e-15 in general_inverse\n", - " warnings.warn(f\"minimum eig {min_eig} in general_inverse\")\n", - ":1: RuntimeWarning: invalid value encountered in sqrt\n", - " model.estimate(method='SLSQP', options={'maxiter':1000})\n" + "/Users/jpn/Git/est-mode/larch/src/larch/model/jaxmodel.py:1156: PossibleOverspecification: Model is possibly over-specified (hessian is nearly singular).\n", + " self.calculate_parameter_covariance()\n" ] }, { @@ -2828,11 +2840,11 @@ " \n", " \n", " coef_distance_joint\n", - " -0.376392\n", + " -0.222590\n", " \n", " \n", " coef_mode_choice_logsum\n", - " 0.163028\n", + " 0.908189\n", " \n", " \n", " coef_one\n", @@ -2840,15 +2852,15 @@ " \n", " \n", " coef_prox_dest_outbound_work\n", - " -0.359504\n", + " -0.278949\n", " \n", " \n", " coef_prox_home_inbound_work\n", - " -0.174104\n", + " -0.121975\n", " \n", " \n", " coef_prox_home_outbound_work\n", - " -0.522711\n", + " -0.419012\n", " \n", " \n", " coef_util_distance_atwork\n", @@ -2856,19 +2868,19 @@ " \n", " \n", " coef_util_distance_eatout\n", - " -0.366193\n", + " -0.219723\n", " \n", " \n", " coef_util_distance_escort\n", - " -0.337785\n", + " -0.235858\n", " \n", " \n", " coef_util_distance_othdiscr\n", - " -0.408787\n", + " -0.241573\n", " \n", " \n", " coef_util_distance_othmaint\n", - " -0.257971\n", + " -0.177610\n", " \n", " \n", " coef_util_distance_school\n", @@ -2876,27 +2888,27 @@ " \n", " \n", " coef_util_distance_shopping\n", - " -0.390483\n", + " -0.227090\n", " \n", " \n", " coef_util_distance_social\n", - " -0.338764\n", + " -0.227558\n", " \n", " \n", " coef_util_distance_univ\n", - " -0.186380\n", + " -0.139388\n", " \n", " \n", " coef_util_distance_work_inbound\n", - " -0.094761\n", + " 0.089849\n", " \n", " \n", " coef_util_distance_work_outbound\n", - " -0.300511\n", + " -0.138174\n", " \n", " \n", " eatout_HEREMPN\n", - " -4.274182\n", + " -2.550718\n", " \n", " \n", " eatout_RETEMPN\n", @@ -2904,39 +2916,39 @@ " \n", " \n", " escort_AGE0519\n", - " -1.513508\n", + " -0.039579\n", " \n", " \n", " escort_HEREMPN\n", - " -6.000000\n", + " -2.848681\n", " \n", " \n", " escort_HSENROLL\n", - " -3.172185\n", + " -2.260284\n", " \n", " \n", " escort_RETEMPN\n", - " -2.099140\n", + " -0.886457\n", " \n", " \n", " escort_TOTHH\n", - " -6.000000\n", + " -6.907755\n", " \n", " \n", " othdiscr_HEREMPN\n", - " -6.000000\n", + " -4.394168\n", " \n", " \n", " othdiscr_HSENROLL\n", - " -6.000000\n", + " -3.310820\n", " \n", " \n", " othdiscr_OTHEMPN\n", - " -4.741924\n", + " -2.825965\n", " \n", " \n", " othdiscr_RETEMPN\n", - " -0.420810\n", + " -2.884521\n", " \n", " \n", " othdiscr_TOTHH\n", @@ -2944,15 +2956,15 @@ " \n", " \n", " othmaint_HEREMPN\n", - " -6.000000\n", + " -1.693356\n", " \n", " \n", " othmaint_RETEMPN\n", - " -4.468097\n", + " -0.351270\n", " \n", " \n", " othmaint_TOTHH\n", - " -6.000000\n", + " -6.907755\n", " \n", " \n", " shopping_RETEMPN\n", @@ -2960,19 +2972,19 @@ " \n", " \n", " shopping_TOTHH\n", - " -6.000000\n", + " -6.907755\n", " \n", " \n", " social_HEREMPN\n", - " -6.000000\n", + " -1.516222\n", " \n", " \n", " social_RETEMPN\n", - " -3.463457\n", + " -0.098839\n", " \n", " \n", " social_TOTHH\n", - " -6.000000\n", + " -6.907755\n", " \n", " \n", " univ_COLLFTE\n", @@ -2984,11 +2996,11 @@ " \n", " \n", " univ_TOTHH\n", - " -6.000000\n", + " -6.907755\n", " \n", " \n", " work_AGREMPN\n", - " 1.145159\n", + " 0.122431\n", " \n", " \n", " work_FPSEMPN\n", @@ -2996,22 +3008,22 @@ " \n", " \n", " work_HEREMPN\n", - " -4.551520\n", + " -1.959508\n", " \n", " \n", " work_MWTEMPN\n", - " -6.000000\n", + " -5.322959\n", " \n", " \n", " work_OTHEMPN\n", - " -5.205310\n", + " -2.512682\n", " \n", " \n", " work_RETEMPN\n", " 0.000000\n", " \n", " \n", - "loglike-12569.486099970745d_loglike\n", + "
logloss2.543504818049292d_logloss\n", " \n", " \n", " \n", @@ -3025,11 +3037,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3037,15 +3049,15 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3053,19 +3065,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3073,27 +3085,27 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3101,19 +3113,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3121,19 +3133,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3141,11 +3153,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3153,7 +3165,7 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3161,11 +3173,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3173,11 +3185,11 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3185,140 +3197,140 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - "
coef_distance_joint-0.0015450.000054
coef_mode_choice_logsum-0.0371690.000028
coef_one
coef_prox_dest_outbound_work-0.004856-0.000016
coef_prox_home_inbound_work-0.0006900.000044
coef_prox_home_outbound_work0.006258-0.000010
coef_util_distance_atwork
coef_util_distance_eatout0.0009010.000017
coef_util_distance_escort0.0016000.000004
coef_util_distance_othdiscr-0.002904-0.000030
coef_util_distance_othmaint0.002059-0.000009
coef_util_distance_school
coef_util_distance_shopping-0.0016370.000006
coef_util_distance_social-0.000562-0.000076
coef_util_distance_univ-0.0014910.000026
coef_util_distance_work_inbound0.001402-0.000026
coef_util_distance_work_outbound0.0099840.000069
eatout_HEREMPN0.000060-0.000049
eatout_RETEMPN
escort_AGE0519-0.000103-0.000144
escort_HEREMPN-0.2823510.000048
escort_HSENROLL-0.0001000.000044
escort_RETEMPN0.0002190.000042
escort_TOTHH
othdiscr_HEREMPN-0.0837150.000056
othdiscr_HSENROLL-0.013300-0.000088
othdiscr_OTHEMPN-0.0001250.000216
othdiscr_RETEMPN-0.000008-0.000059
othdiscr_TOTHH
othmaint_HEREMPN-14.917882-0.000220
othmaint_RETEMPN0.000013-0.000006
othmaint_TOTHH
shopping_RETEMPN-6.303186-0.005801
shopping_TOTHH
social_HEREMPN-2.2981350.000007
social_RETEMPN-0.000206-0.000072
social_TOTHH
univ_COLLFTE-12.165359-0.003131
univ_COLLPTE-12.781555-0.002441
univ_TOTHH
work_AGREMPN0.000453-0.000051
work_FPSEMPN-0.905637-0.000190
work_HEREMPN0.0002220.000081
work_MWTEMPN-0.021745-0.000196
work_OTHEMPN-0.000419-0.000045
work_RETEMPN0.000000
nit87nfev147njev87status0message'Optimization terminated successfully'successTrueelapsed_time0:00:21.469689method'SLSQP'n_cases2490iteration_number87logloss5.04798638553042" + "nit87nfev92njev87status0message'Optimization terminated successfully'successTrueelapsed_time0:00:19.360953method'SLSQP'n_cases31028iteration_number87loglike-78919.86749443343" ], "text/plain": [ "┣ x: coef_UNAVAILABLE -999.000000\n", - "┃ coef_distance_joint -0.376392\n", - "┃ coef_mode_choice_logsum 0.163028\n", + "┃ coef_distance_joint -0.222590\n", + "┃ coef_mode_choice_logsum 0.908189\n", "┃ coef_one 1.000000\n", - "┃ coef_prox_dest_outbound_work -0.359504\n", - "┃ coef_prox_home_inbound_work -0.174104\n", - "┃ coef_prox_home_outbound_work -0.522711\n", + "┃ coef_prox_dest_outbound_work -0.278949\n", + "┃ coef_prox_home_inbound_work -0.121975\n", + "┃ coef_prox_home_outbound_work -0.419012\n", "┃ coef_util_distance_atwork -0.122335\n", - "┃ coef_util_distance_eatout -0.366193\n", - "┃ coef_util_distance_escort -0.337785\n", - "┃ coef_util_distance_othdiscr -0.408787\n", - "┃ coef_util_distance_othmaint -0.257971\n", + "┃ coef_util_distance_eatout -0.219723\n", + "┃ coef_util_distance_escort -0.235858\n", + "┃ coef_util_distance_othdiscr -0.241573\n", + "┃ coef_util_distance_othmaint -0.177610\n", "┃ coef_util_distance_school -0.105600\n", - "┃ coef_util_distance_shopping -0.390483\n", - "┃ coef_util_distance_social -0.338764\n", - "┃ coef_util_distance_univ -0.186380\n", - "┃ coef_util_distance_work_inbound -0.094761\n", - "┃ coef_util_distance_work_outbound -0.300511\n", - "┃ eatout_HEREMPN -4.274182\n", + "┃ coef_util_distance_shopping -0.227090\n", + "┃ coef_util_distance_social -0.227558\n", + "┃ coef_util_distance_univ -0.139388\n", + "┃ coef_util_distance_work_inbound 0.089849\n", + "┃ coef_util_distance_work_outbound -0.138174\n", + "┃ eatout_HEREMPN -2.550718\n", "┃ eatout_RETEMPN -0.298406\n", - "┃ escort_AGE0519 -1.513508\n", - "┃ escort_HEREMPN -6.000000\n", - "┃ escort_HSENROLL -3.172185\n", - "┃ escort_RETEMPN -2.099140\n", - "┃ escort_TOTHH -6.000000\n", - "┃ othdiscr_HEREMPN -6.000000\n", - "┃ othdiscr_HSENROLL -6.000000\n", - "┃ othdiscr_OTHEMPN -4.741924\n", - "┃ othdiscr_RETEMPN -0.420810\n", + "┃ escort_AGE0519 -0.039579\n", + "┃ escort_HEREMPN -2.848681\n", + "┃ escort_HSENROLL -2.260284\n", + "┃ escort_RETEMPN -0.886457\n", + "┃ escort_TOTHH -6.907755\n", + "┃ othdiscr_HEREMPN -4.394168\n", + "┃ othdiscr_HSENROLL -3.310820\n", + "┃ othdiscr_OTHEMPN -2.825965\n", + "┃ othdiscr_RETEMPN -2.884521\n", "┃ othdiscr_TOTHH -1.378326\n", - "┃ othmaint_HEREMPN -6.000000\n", - "┃ othmaint_RETEMPN -4.468097\n", - "┃ othmaint_TOTHH -6.000000\n", + "┃ othmaint_HEREMPN -1.693356\n", + "┃ othmaint_RETEMPN -0.351270\n", + "┃ othmaint_TOTHH -6.907755\n", "┃ shopping_RETEMPN -6.000000\n", - "┃ shopping_TOTHH -6.000000\n", - "┃ social_HEREMPN -6.000000\n", - "┃ social_RETEMPN -3.463457\n", - "┃ social_TOTHH -6.000000\n", + "┃ shopping_TOTHH -6.907755\n", + "┃ social_HEREMPN -1.516222\n", + "┃ social_RETEMPN -0.098839\n", + "┃ social_TOTHH -6.907755\n", "┃ univ_COLLFTE -6.000000\n", "┃ univ_COLLPTE -6.000000\n", - "┃ univ_TOTHH -6.000000\n", - "┃ work_AGREMPN 1.145159\n", + "┃ univ_TOTHH -6.907755\n", + "┃ work_AGREMPN 0.122431\n", "┃ work_FPSEMPN -6.000000\n", - "┃ work_HEREMPN -4.551520\n", - "┃ work_MWTEMPN -6.000000\n", - "┃ work_OTHEMPN -5.205310\n", + "┃ work_HEREMPN -1.959508\n", + "┃ work_MWTEMPN -5.322959\n", + "┃ work_OTHEMPN -2.512682\n", "┃ work_RETEMPN 0.000000\n", "┃ dtype: float64\n", - "┣ loglike: -12569.486099970745\n", - "┣ d_loglike: coef_UNAVAILABLE 0.000000\n", - "┃ coef_distance_joint -0.001545\n", - "┃ coef_mode_choice_logsum -0.037169\n", - "┃ coef_one 0.000000\n", - "┃ coef_prox_dest_outbound_work -0.004856\n", - "┃ coef_prox_home_inbound_work -0.000690\n", - "┃ coef_prox_home_outbound_work 0.006258\n", - "┃ coef_util_distance_atwork 0.000000\n", - "┃ coef_util_distance_eatout 0.000901\n", - "┃ coef_util_distance_escort 0.001600\n", - "┃ coef_util_distance_othdiscr -0.002904\n", - "┃ coef_util_distance_othmaint 0.002059\n", - "┃ coef_util_distance_school 0.000000\n", - "┃ coef_util_distance_shopping -0.001637\n", - "┃ coef_util_distance_social -0.000562\n", - "┃ coef_util_distance_univ -0.001491\n", - "┃ coef_util_distance_work_inbound 0.001402\n", - "┃ coef_util_distance_work_outbound 0.009984\n", - "┃ eatout_HEREMPN 0.000060\n", - "┃ eatout_RETEMPN 0.000000\n", - "┃ escort_AGE0519 -0.000103\n", - "┃ escort_HEREMPN -0.282351\n", - "┃ escort_HSENROLL -0.000100\n", - "┃ escort_RETEMPN 0.000219\n", - "┃ escort_TOTHH 0.000000\n", - "┃ othdiscr_HEREMPN -0.083715\n", - "┃ othdiscr_HSENROLL -0.013300\n", - "┃ othdiscr_OTHEMPN -0.000125\n", - "┃ othdiscr_RETEMPN -0.000008\n", - "┃ othdiscr_TOTHH 0.000000\n", - "┃ othmaint_HEREMPN -14.917882\n", - "┃ othmaint_RETEMPN 0.000013\n", - "┃ othmaint_TOTHH 0.000000\n", - "┃ shopping_RETEMPN -6.303186\n", - "┃ shopping_TOTHH 0.000000\n", - "┃ social_HEREMPN -2.298135\n", - "┃ social_RETEMPN -0.000206\n", - "┃ social_TOTHH 0.000000\n", - "┃ univ_COLLFTE -12.165359\n", - "┃ univ_COLLPTE -12.781555\n", - "┃ univ_TOTHH 0.000000\n", - "┃ work_AGREMPN 0.000453\n", - "┃ work_FPSEMPN -0.905637\n", - "┃ work_HEREMPN 0.000222\n", - "┃ work_MWTEMPN -0.021745\n", - "┃ work_OTHEMPN -0.000419\n", - "┃ work_RETEMPN 0.000000\n", + "┣ logloss: 2.543504818049292\n", + "┣ d_logloss: coef_UNAVAILABLE 0.000000\n", + "┃ coef_distance_joint 0.000054\n", + "┃ coef_mode_choice_logsum 0.000028\n", + "┃ coef_one 0.000000\n", + "┃ coef_prox_dest_outbound_work -0.000016\n", + "┃ coef_prox_home_inbound_work 0.000044\n", + "┃ coef_prox_home_outbound_work -0.000010\n", + "┃ coef_util_distance_atwork 0.000000\n", + "┃ coef_util_distance_eatout 0.000017\n", + "┃ coef_util_distance_escort 0.000004\n", + "┃ coef_util_distance_othdiscr -0.000030\n", + "┃ coef_util_distance_othmaint -0.000009\n", + "┃ coef_util_distance_school 0.000000\n", + "┃ coef_util_distance_shopping 0.000006\n", + "┃ coef_util_distance_social -0.000076\n", + "┃ coef_util_distance_univ 0.000026\n", + "┃ coef_util_distance_work_inbound -0.000026\n", + "┃ coef_util_distance_work_outbound 0.000069\n", + "┃ eatout_HEREMPN -0.000049\n", + "┃ eatout_RETEMPN 0.000000\n", + "┃ escort_AGE0519 -0.000144\n", + "┃ escort_HEREMPN 0.000048\n", + "┃ escort_HSENROLL 0.000044\n", + "┃ escort_RETEMPN 0.000042\n", + "┃ escort_TOTHH 0.000000\n", + "┃ othdiscr_HEREMPN 0.000056\n", + "┃ othdiscr_HSENROLL -0.000088\n", + "┃ othdiscr_OTHEMPN 0.000216\n", + "┃ othdiscr_RETEMPN -0.000059\n", + "┃ othdiscr_TOTHH 0.000000\n", + "┃ othmaint_HEREMPN -0.000220\n", + "┃ othmaint_RETEMPN -0.000006\n", + "┃ othmaint_TOTHH 0.000000\n", + "┃ shopping_RETEMPN -0.005801\n", + "┃ shopping_TOTHH 0.000000\n", + "┃ social_HEREMPN 0.000007\n", + "┃ social_RETEMPN -0.000072\n", + "┃ social_TOTHH 0.000000\n", + "┃ univ_COLLFTE -0.003131\n", + "┃ univ_COLLPTE -0.002441\n", + "┃ univ_TOTHH 0.000000\n", + "┃ work_AGREMPN -0.000051\n", + "┃ work_FPSEMPN -0.000190\n", + "┃ work_HEREMPN 0.000081\n", + "┃ work_MWTEMPN -0.000196\n", + "┃ work_OTHEMPN -0.000045\n", + "┃ work_RETEMPN 0.000000\n", "┃ dtype: float64\n", "┣ nit: 87\n", - "┣ nfev: 147\n", + "┣ nfev: 92\n", "┣ njev: 87\n", "┣ status: 0\n", "┣ message: 'Optimization terminated successfully'\n", "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=21, microseconds=469689)\n", + "┣ elapsed_time: datetime.timedelta(seconds=19, microseconds=360953)\n", "┣ method: 'SLSQP'\n", - "┣ n_cases: 2490\n", + "┣ n_cases: 31028\n", "┣ iteration_number: 87\n", - "┣ logloss: 5.04798638553042" + "┣ loglike: -78919.86749443343" ] }, "execution_count": 11, @@ -3345,490 +3357,469 @@ { "data": { "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Std Err t Stat Signif Like Ratio Null Value Constrained
coef_UNAVAILABLE-999. NA NA NA 0.00fixed value
coef_distance_joint-0.376 0.0762-4.94*** NA 0.00
coef_mode_choice_logsum 0.163 0.00797 20.46*** NA 0.00
coef_one 1.00 NA NA NA 0.00fixed value
coef_prox_dest_outbound_work-0.360 441.-0.00 NA 0.00
coef_prox_home_inbound_work-0.174 0.0368-4.73*** NA 0.00
coef_prox_home_outbound_work-0.523 441.-0.00 NA 0.00
coef_util_distance_atwork-0.122 2.43e-06-BIG*** NA 0.00
coef_util_distance_eatout-0.366 0.0630-5.81*** NA 0.00
coef_util_distance_escort-0.338 0.0329-10.28*** NA 0.00
coef_util_distance_othdiscr-0.409 0.0322-12.71*** NA 0.00
coef_util_distance_othmaint-0.258 0.0368-7.02*** NA 0.00
coef_util_distance_school-0.106 4.08e-06-BIG*** NA 0.00
coef_util_distance_shopping-0.390 0.0251-15.56*** NA 0.00
coef_util_distance_social-0.339 0.0631-5.36*** NA 0.00
coef_util_distance_univ-0.186 0.0428-4.35*** NA 0.00
coef_util_distance_work_inbound-0.0948 441.-0.00 NA 0.00
coef_util_distance_work_outbound-0.301 0.0272-11.05*** NA 0.00
eatout_HEREMPN-4.27 1.02-4.19*** NA 0.00
eatout_RETEMPN-0.298 NA NA NA 0.00fixed value
escort_AGE0519-1.51 2.88-0.53 NA 0.00
escort_HEREMPN-6.00 NA NA[***] 93.05 0.00escort_HEREMPN ≥ -6.0
escort_HSENROLL-3.17 2.87-1.10 NA 0.00
escort_RETEMPN-2.10 3.12-0.67 NA 0.00
escort_TOTHH-6.91 NA NA NA 0.00fixed value
othdiscr_HEREMPN-6.00 NA NA[***] 63.28 0.00othdiscr_HEREMPN ≥ -6.0
othdiscr_HSENROLL-6.00 NA NA[***] 23.13 0.00othdiscr_HSENROLL ≥ -6.0
othdiscr_OTHEMPN-4.74 2.07-2.29* NA 0.00
othdiscr_RETEMPN-0.421 0.383-1.10 NA 0.00
othdiscr_TOTHH-1.38 NA NA NA 0.00fixed value
othmaint_HEREMPN-6.00 NA NA[***] 93.87 0.00othmaint_HEREMPN ≥ -6.0
othmaint_RETEMPN-4.47 0.487-9.18*** NA 0.00
othmaint_TOTHH-6.91 NA NA NA 0.00fixed value
shopping_RETEMPN-6.00 NA NA[***] 107.89 0.00shopping_RETEMPN ≥ -6.0
shopping_TOTHH-6.91 NA NA NA 0.00fixed value
social_HEREMPN-6.00 NA NA[***] 33.82 0.00social_HEREMPN ≥ -6.0
social_RETEMPN-3.46 0.666-5.20*** NA 0.00
social_TOTHH-6.91 NA NA NA 0.00fixed value
univ_COLLFTE-6.00 NA NA[***] 379.06 0.00univ_COLLFTE ≥ -6.0
univ_COLLPTE-6.00 NA NA[***] 390.32 0.00univ_COLLPTE ≥ -6.0
univ_TOTHH-6.91 NA NA NA 0.00fixed value
work_AGREMPN 1.15 0.433 2.65** NA 0.00
work_FPSEMPN-6.00 NA NA[***] 647.25 0.00work_FPSEMPN ≥ -6.0
work_HEREMPN-4.55 0.535-8.51*** NA 0.00
work_MWTEMPN-6.00 NA NA[***] 106.49 0.00work_MWTEMPN ≥ -6.0
work_OTHEMPN-5.21 1.18-4.42*** NA 0.00
work_RETEMPN 0.00 NA NA NA 0.00fixed value
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 ValueStd Errt StatSignifNull ValueConstrained
Parameter      
coef_UNAVAILABLE-999. 0.00 NA 0.00fixed value
coef_distance_joint-0.223 0.0134-16.56*** 0.00
coef_mode_choice_logsum 0.908 0.0111 82.17*** 0.00
coef_one 1.00 0.00 NA 0.00fixed value
coef_prox_dest_outbound_work-0.279 158.-0.00 0.00
coef_prox_home_inbound_work-0.122 0.00393-31.03*** 0.00
coef_prox_home_outbound_work-0.419 158.-0.00 0.00
coef_util_distance_atwork-0.122 NA NA 0.00
coef_util_distance_eatout-0.220 0.0130-16.94*** 0.00
coef_util_distance_escort-0.236 0.00671-35.15*** 0.00
coef_util_distance_othdiscr-0.242 0.00636-37.96*** 0.00
coef_util_distance_othmaint-0.178 0.00584-30.41*** 0.00
coef_util_distance_school-0.106 NA NA 0.00
coef_util_distance_shopping-0.227 0.00490-46.30*** 0.00
coef_util_distance_social-0.228 0.0116-19.56*** 0.00
coef_util_distance_univ-0.139 0.00887-15.71*** 0.00
coef_util_distance_work_inbound 0.0898 158. 0.00 0.00
coef_util_distance_work_outbound-0.138 0.00378-36.55*** 0.00
eatout_HEREMPN-2.55 0.279-9.16*** 0.00
eatout_RETEMPN-0.298 0.00 NA 0.00fixed value
escort_AGE0519-0.0396 NA NA 0.00
escort_HEREMPN-2.85 NA NA 0.00
escort_HSENROLL-2.26 NA NA 0.00
escort_RETEMPN-0.886 NA NA 0.00
escort_TOTHH-6.91 0.00 NA 0.00fixed value
othdiscr_HEREMPN-4.39 0.449-9.78*** 0.00
othdiscr_HSENROLL-3.31 0.341-9.70*** 0.00
othdiscr_OTHEMPN-2.83 0.181-15.63*** 0.00
othdiscr_RETEMPN-2.88 0.379-7.60*** 0.00
othdiscr_TOTHH-1.38 0.00 NA 0.00fixed value
othmaint_HEREMPN-1.69 NA NA 0.00
othmaint_RETEMPN-0.351 NA NA 0.00
othmaint_TOTHH-6.91 0.00 NA 0.00fixed value
shopping_RETEMPN-6.00 0.00 NA 0.00shopping_RETEMPN ≥ -6.0
shopping_TOTHH-6.91 0.00 NA 0.00fixed value
social_HEREMPN-1.52 NA NA 0.00
social_RETEMPN-0.0988 NA NA 0.00
social_TOTHH-6.91 0.00 NA 0.00fixed value
univ_COLLFTE-6.00 0.00 NA 0.00univ_COLLFTE ≥ -6.0
univ_COLLPTE-6.00 0.00 NA 0.00univ_COLLPTE ≥ -6.0
univ_TOTHH-6.91 0.00 NA 0.00fixed value
work_AGREMPN 0.122 0.169 0.73 0.00
work_FPSEMPN-6.00 5.27e-09-BIG*** 0.00work_FPSEMPN ≥ -6.0
work_HEREMPN-1.96 0.0705-27.78*** 0.00
work_MWTEMPN-5.32 0.384-13.86*** 0.00
work_OTHEMPN-2.51 0.0972-25.86*** 0.00
work_RETEMPN 0.00 0.00 NA 0.00fixed value
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 12, @@ -4157,12 +4148,12 @@ " work\n", " trip\n", " 0.000000\n", - " 0.240157\n", - " 0.000595\n", - " 0.002534\n", - " 0.001318\n", - " 0.754800\n", - " 0.000595\n", + " 0.423805\n", + " 0.001051\n", + " 0.059726\n", + " 0.034350\n", + " 0.479002\n", + " 0.002067\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4172,15 +4163,15 @@ " 15\n", " escort\n", " trip\n", - " 0.002577\n", - " 0.315809\n", + " 0.000651\n", + " 0.268207\n", " 0.000000\n", - " 0.006387\n", + " 0.037695\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.567232\n", - " 0.107996\n", + " 0.625554\n", + " 0.067893\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4205,9 +4196,9 @@ " eatout\n", " trip\n", " 0.000000\n", - " 0.981581\n", + " 0.904850\n", " 0.000000\n", - " 0.018419\n", + " 0.095150\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4220,10 +4211,10 @@ " 18\n", " othmaint\n", " trip\n", - " 0.066899\n", - " 0.767274\n", + " 0.001125\n", + " 0.791941\n", " 0.000000\n", - " 0.165826\n", + " 0.206934\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4236,10 +4227,10 @@ " 19\n", " social\n", " trip\n", - " 0.028736\n", - " 0.900036\n", + " 0.000888\n", + " 0.804213\n", " 0.000000\n", - " 0.071228\n", + " 0.194899\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4252,15 +4243,15 @@ " 20\n", " othdiscr\n", " trip\n", - " 0.273261\n", - " 0.711905\n", + " 0.605815\n", + " 0.134341\n", " 0.000000\n", - " 0.002688\n", - " 0.009458\n", + " 0.029688\n", + " 0.142442\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.002688\n", + " 0.087714\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4300,13 +4291,13 @@ "11 social non_mandatory 0.000000 0.522000 0.000000 0.478000 \n", "12 othdiscr non_mandatory 0.252252 0.212212 0.000000 0.272272 \n", "13 atwork atwork 0.000000 0.742000 0.000000 0.258000 \n", - "14 work trip 0.000000 0.240157 0.000595 0.002534 \n", - "15 escort trip 0.002577 0.315809 0.000000 0.006387 \n", + "14 work trip 0.000000 0.423805 0.001051 0.059726 \n", + "15 escort trip 0.000651 0.268207 0.000000 0.037695 \n", "16 shopping trip 0.287459 0.712541 0.000000 0.000000 \n", - "17 eatout trip 0.000000 0.981581 0.000000 0.018419 \n", - "18 othmaint trip 0.066899 0.767274 0.000000 0.165826 \n", - "19 social trip 0.028736 0.900036 0.000000 0.071228 \n", - "20 othdiscr trip 0.273261 0.711905 0.000000 0.002688 \n", + "17 eatout trip 0.000000 0.904850 0.000000 0.095150 \n", + "18 othmaint trip 0.001125 0.791941 0.000000 0.206934 \n", + "19 social trip 0.000888 0.804213 0.000000 0.194899 \n", + "20 othdiscr trip 0.605815 0.134341 0.000000 0.029688 \n", "21 univ trip 0.167856 0.000000 0.000000 0.000000 \n", "\n", " OTHEMPN AGREMPN MWTEMPN AGE0519 HSENROLL COLLFTE COLLPTE \n", @@ -4324,13 +4315,13 @@ "11 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "12 0.165165 0.000000 0.000000 0.000000 0.098098 0.000000 0.000000 \n", "13 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.001318 0.754800 0.000595 0.000000 0.000000 0.000000 0.000000 \n", - "15 0.000000 0.000000 0.000000 0.567232 0.107996 0.000000 0.000000 \n", + "14 0.034350 0.479002 0.002067 0.000000 0.000000 0.000000 0.000000 \n", + "15 0.000000 0.000000 0.000000 0.625554 0.067893 0.000000 0.000000 \n", "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "17 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "18 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "19 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.009458 0.000000 0.000000 0.000000 0.002688 0.000000 0.000000 \n", + "20 0.142442 0.000000 0.000000 0.000000 0.087714 0.000000 0.000000 \n", "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.416072 0.416072 " ] }, @@ -4424,31 +4415,31 @@ " \n", " 2\n", " coef_mode_choice_logsum\n", - " 0.163028\n", + " 0.908189\n", " F\n", " \n", " \n", " 3\n", " coef_distance_joint\n", - " -0.376392\n", + " -0.222590\n", " F\n", " \n", " \n", " 4\n", " coef_util_distance_work_outbound\n", - " -0.300511\n", + " -0.138174\n", " F\n", " \n", " \n", " 5\n", " coef_util_distance_work_inbound\n", - " -0.094761\n", + " 0.089849\n", " F\n", " \n", " \n", " 6\n", " coef_util_distance_univ\n", - " -0.186380\n", + " -0.139388\n", " F\n", " \n", " \n", @@ -4460,37 +4451,37 @@ " \n", " 8\n", " coef_util_distance_escort\n", - " -0.337785\n", + " -0.235858\n", " F\n", " \n", " \n", " 9\n", " coef_util_distance_shopping\n", - " -0.390483\n", + " -0.227090\n", " F\n", " \n", " \n", " 10\n", " coef_util_distance_eatout\n", - " -0.366193\n", + " -0.219723\n", " F\n", " \n", " \n", " 11\n", " coef_util_distance_othmaint\n", - " -0.257971\n", + " -0.177610\n", " F\n", " \n", " \n", " 12\n", " coef_util_distance_social\n", - " -0.338764\n", + " -0.227558\n", " F\n", " \n", " \n", " 13\n", " coef_util_distance_othdiscr\n", - " -0.408787\n", + " -0.241573\n", " F\n", " \n", " \n", @@ -4502,19 +4493,19 @@ " \n", " 15\n", " coef_prox_home_outbound_work\n", - " -0.522711\n", + " -0.419012\n", " F\n", " \n", " \n", " 16\n", " coef_prox_home_inbound_work\n", - " -0.174104\n", + " -0.121975\n", " F\n", " \n", " \n", " 17\n", " coef_prox_dest_outbound_work\n", - " -0.359504\n", + " -0.278949\n", " F\n", " \n", " \n", @@ -4525,22 +4516,22 @@ " coefficient_name value constrain\n", "0 coef_UNAVAILABLE -999.000000 T\n", "1 coef_one 1.000000 T\n", - "2 coef_mode_choice_logsum 0.163028 F\n", - "3 coef_distance_joint -0.376392 F\n", - "4 coef_util_distance_work_outbound -0.300511 F\n", - "5 coef_util_distance_work_inbound -0.094761 F\n", - "6 coef_util_distance_univ -0.186380 F\n", + "2 coef_mode_choice_logsum 0.908189 F\n", + "3 coef_distance_joint -0.222590 F\n", + "4 coef_util_distance_work_outbound -0.138174 F\n", + "5 coef_util_distance_work_inbound 0.089849 F\n", + "6 coef_util_distance_univ -0.139388 F\n", "7 coef_util_distance_school -0.105600 F\n", - "8 coef_util_distance_escort -0.337785 F\n", - "9 coef_util_distance_shopping -0.390483 F\n", - "10 coef_util_distance_eatout -0.366193 F\n", - "11 coef_util_distance_othmaint -0.257971 F\n", - "12 coef_util_distance_social -0.338764 F\n", - "13 coef_util_distance_othdiscr -0.408787 F\n", + "8 coef_util_distance_escort -0.235858 F\n", + "9 coef_util_distance_shopping -0.227090 F\n", + "10 coef_util_distance_eatout -0.219723 F\n", + "11 coef_util_distance_othmaint -0.177610 F\n", + "12 coef_util_distance_social -0.227558 F\n", + "13 coef_util_distance_othdiscr -0.241573 F\n", "14 coef_util_distance_atwork -0.122335 F\n", - "15 coef_prox_home_outbound_work -0.522711 F\n", - "16 coef_prox_home_inbound_work -0.174104 F\n", - "17 coef_prox_dest_outbound_work -0.359504 F" + "15 coef_prox_home_outbound_work -0.419012 F\n", + "16 coef_prox_home_inbound_work -0.121975 F\n", + "17 coef_prox_dest_outbound_work -0.278949 F" ] }, "execution_count": 17, @@ -4839,12 +4830,12 @@ " work\n", " trip\n", " 0.000000\n", - " 0.240157\n", - " 0.000595\n", - " 0.002534\n", - " 0.001318\n", - " 0.754800\n", - " 0.000595\n", + " 0.423805\n", + " 0.001051\n", + " 0.059726\n", + " 0.034350\n", + " 0.479002\n", + " 0.002067\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4855,15 +4846,15 @@ " 15\n", " escort\n", " trip\n", - " 0.002577\n", - " 0.315809\n", + " 0.000651\n", + " 0.268207\n", " 0.000000\n", - " 0.006387\n", + " 0.037695\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.567232\n", - " 0.107996\n", + " 0.625554\n", + " 0.067893\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4890,9 +4881,9 @@ " eatout\n", " trip\n", " 0.000000\n", - " 0.981581\n", + " 0.904850\n", " 0.000000\n", - " 0.018419\n", + " 0.095150\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4906,10 +4897,10 @@ " 18\n", " othmaint\n", " trip\n", - " 0.066899\n", - " 0.767274\n", + " 0.001125\n", + " 0.791941\n", " 0.000000\n", - " 0.165826\n", + " 0.206934\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4923,10 +4914,10 @@ " 19\n", " social\n", " trip\n", - " 0.028736\n", - " 0.900036\n", + " 0.000888\n", + " 0.804213\n", " 0.000000\n", - " 0.071228\n", + " 0.194899\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", @@ -4940,15 +4931,15 @@ " 20\n", " othdiscr\n", " trip\n", - " 0.273261\n", - " 0.711905\n", + " 0.605815\n", + " 0.134341\n", " 0.000000\n", - " 0.002688\n", - " 0.009458\n", + " 0.029688\n", + " 0.142442\n", " 0.000000\n", " 0.000000\n", " 0.000000\n", - " 0.002688\n", + " 0.087714\n", " 0.000000\n", " 0.000000\n", " \n", @@ -4989,13 +4980,13 @@ "11 11 social non_mandatory 0.000000 0.522000 0.000000 \n", "12 12 othdiscr non_mandatory 0.252252 0.212212 0.000000 \n", "13 13 atwork atwork 0.000000 0.742000 0.000000 \n", - "14 14 work trip 0.000000 0.240157 0.000595 \n", - "15 15 escort trip 0.002577 0.315809 0.000000 \n", + "14 14 work trip 0.000000 0.423805 0.001051 \n", + "15 15 escort trip 0.000651 0.268207 0.000000 \n", "16 16 shopping trip 0.287459 0.712541 0.000000 \n", - "17 17 eatout trip 0.000000 0.981581 0.000000 \n", - "18 18 othmaint trip 0.066899 0.767274 0.000000 \n", - "19 19 social trip 0.028736 0.900036 0.000000 \n", - "20 20 othdiscr trip 0.273261 0.711905 0.000000 \n", + "17 17 eatout trip 0.000000 0.904850 0.000000 \n", + "18 18 othmaint trip 0.001125 0.791941 0.000000 \n", + "19 19 social trip 0.000888 0.804213 0.000000 \n", + "20 20 othdiscr trip 0.605815 0.134341 0.000000 \n", "21 21 univ trip 0.167856 0.000000 0.000000 \n", "\n", " HEREMPN OTHEMPN AGREMPN MWTEMPN AGE0519 HSENROLL COLLFTE \\\n", @@ -5013,13 +5004,13 @@ "11 0.478000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", "12 0.272272 0.165165 0.000000 0.000000 0.000000 0.098098 0.000000 \n", "13 0.258000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "14 0.002534 0.001318 0.754800 0.000595 0.000000 0.000000 0.000000 \n", - "15 0.006387 0.000000 0.000000 0.000000 0.567232 0.107996 0.000000 \n", + "14 0.059726 0.034350 0.479002 0.002067 0.000000 0.000000 0.000000 \n", + "15 0.037695 0.000000 0.000000 0.000000 0.625554 0.067893 0.000000 \n", "16 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "17 0.018419 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "18 0.165826 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "19 0.071228 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", - "20 0.002688 0.009458 0.000000 0.000000 0.000000 0.002688 0.000000 \n", + "17 0.095150 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "18 0.206934 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "19 0.194899 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "20 0.029688 0.142442 0.000000 0.000000 0.000000 0.087714 0.000000 \n", "21 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.416072 \n", "\n", " COLLPTE \n", @@ -5064,7 +5055,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -5078,7 +5069,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/23_trip_mode_choice.ipynb b/activitysim/examples/example_estimation/notebooks/23_trip_mode_choice.ipynb index acf84e274..a38eb9239 100644 --- a/activitysim/examples/example_estimation/notebooks/23_trip_mode_choice.ipynb +++ b/activitysim/examples/example_estimation/notebooks/23_trip_mode_choice.ipynb @@ -34,27 +34,74 @@ "id": "s53VwlPwtNnr", "outputId": "d1208b7a-c1f2-4b0b-c439-bf312fe12be0" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "JAX not found. Some functionality will be unavailable.\n" + ] + }, + { + "data": { + "text/plain": [ + "{'larch': '6.0.32',\n", + " 'sharrow': '2.13.0',\n", + " 'numpy': '1.26.4',\n", + " 'pandas': '1.5.3',\n", + " 'xarray': '2024.3.0',\n", + " 'numba': '0.60.0'}" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "import os\n", - "import larch # !conda install larch -c conda-forge # for estimation\n", - "import pandas as pd" + "import larch as lx\n", + "import pandas as pd\n", + "\n", + "lx.versions()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We'll work in our `test` directory, where ActivitySim has saved the estimation data bundles." + "For this demo, we will assume that you have already run ActivitySim in estimation\n", + "mode, and saved the required estimation data bundles (EDB's) to disk. See\n", + "the [first notebook](./01_estimation_mode.ipynb) for details. The following module\n", + "will run a script to set everything up if the example data is not already available." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EDB directory already populated.\n" + ] + }, + { + "data": { + "text/plain": [ + "PosixPath('test-estimation-data/activitysim-prototype-mtc-extended')" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "os.chdir('test')" + "from est_mode_setup import prepare\n", + "\n", + "prepare()" ] }, { @@ -70,11 +117,13 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "/Users/jeffnewman/OneDrive - Cambridge Systematics/Git/activitysim/activitysim/estimation/larch/mode_choice.py:126: DtypeWarning: Columns (411) have mixed types.Specify dtype option on import or set low_memory=False.\n", - " return mode_choice_model(\n" + "loading from output-est-mode/estimation_data_bundle/trip_mode_choice/trip_mode_choice_coefficients.csv\n", + "loading from output-est-mode/estimation_data_bundle/trip_mode_choice/trip_mode_choice_coefficients_template.csv\n", + "loading spec from output-est-mode/estimation_data_bundle/trip_mode_choice/trip_mode_choice_SPEC.csv\n", + "loading from output-est-mode/estimation_data_bundle/trip_mode_choice/trip_mode_choice_values_combined.parquet\n" ] } ], @@ -82,7 +131,11 @@ "modelname = \"trip_mode_choice\"\n", "\n", "from activitysim.estimation.larch import component_model\n", - "model, data = component_model(modelname, return_data=True)" + "model, data = component_model(\n", + " modelname,\n", + " edb_directory=f\"output-est-mode/estimation_data_bundle/{modelname}/\",\n", + " return_data=True,\n", + ")" ] }, { @@ -685,15 +738,15 @@ " util_DRIVEALONEFREE_In_vehicle_time\n", " util_DRIVEALONEFREE_Terminal_time\n", " ...\n", - " drive_lrf_available_inbound\n", - " drive_express_available_outbound\n", - " drive_express_available_inbound\n", " drive_heavyrail_available_outbound\n", " drive_heavyrail_available_inbound\n", " drive_commuter_available_outbound\n", " drive_commuter_available_inbound\n", " walk_ferry_available\n", " drive_ferry_available\n", + " distance\n", + " distance_walk_od\n", + " distance_bike_od\n", " override_choice_code\n", " \n", " \n", @@ -723,17 +776,17 @@ " \n", " \n", " \n", - " 6812\n", - " 54497\n", + " 1870\n", + " 14961\n", " WALK\n", " WALK\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 2.72\n", - " 7.72508\n", + " 0.0\n", + " 10.52\n", + " 10.63286\n", " ...\n", " False\n", " False\n", @@ -741,23 +794,23 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", + " 3.78\n", + " 3.78\n", + " 3.78\n", " 7\n", " \n", " \n", - " 6812\n", - " 54501\n", + " 1870\n", + " 14965\n", " WALK\n", " WALK\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 2.76\n", - " 7.72508\n", + " 0.0\n", + " 10.31\n", + " 10.63286\n", " ...\n", " False\n", " False\n", @@ -765,71 +818,71 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", + " 3.79\n", + " 3.79\n", + " 3.79\n", " 7\n", " \n", " \n", - " 8110\n", - " 64881\n", - " WALK\n", - " WALK\n", + " 20468\n", + " 163745\n", + " WALK_LOC\n", + " WALK_LOC\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 4.43\n", - " 17.09892\n", + " 0.0\n", + " 4.72\n", + " 6.62312\n", " ...\n", + " True\n", " False\n", + " True\n", " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " 7\n", + " 2.07\n", + " 2.07\n", + " 2.07\n", + " 9\n", " \n", " \n", - " 8110\n", - " 64885\n", - " WALK\n", - " WALK\n", + " 20468\n", + " 163749\n", + " WALK_LOC\n", + " TNC_SINGLE\n", " 0.0\n", - " 1.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 4.43\n", - " 17.09892\n", + " 0.0\n", + " 4.72\n", + " 6.62312\n", " ...\n", " False\n", + " True\n", " False\n", + " True\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " False\n", - " 7\n", + " 2.07\n", + " 2.07\n", + " 2.07\n", + " 20\n", " \n", " \n", - " 11013\n", - " 88105\n", - " DRIVEALONEFREE\n", + " 27055\n", + " 216441\n", + " SHARED3FREE\n", " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 10.53\n", - " 9.08660\n", + " 6.77\n", + " 4.26534\n", " ...\n", " False\n", " False\n", @@ -837,9 +890,9 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", + " 2.49\n", + " 2.49\n", + " 2.49\n", " 1\n", " \n", " \n", @@ -867,17 +920,17 @@ " ...\n", " \n", " \n", - " 309796968\n", - " 2478375745\n", - " SHARED3FREE\n", - " SHARED3FREE\n", + " 310202384\n", + " 2481619077\n", + " DRIVEALONEFREE\n", + " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 8.84\n", - " 6.83436\n", + " 2.74\n", + " 1.91196\n", " ...\n", " False\n", " False\n", @@ -885,23 +938,23 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " 5\n", + " 1.66\n", + " 2.55\n", + " 2.55\n", + " 1\n", " \n", " \n", - " 309796968\n", - " 2478375749\n", - " SHARED3FREE\n", - " SHARED3FREE\n", + " 310212634\n", + " 2481701073\n", + " DRIVEALONEFREE\n", + " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 8.50\n", - " 6.83436\n", + " 6.42\n", + " 2.66128\n", " ...\n", " False\n", " False\n", @@ -909,14 +962,14 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " 5\n", + " 2.57\n", + " 2.57\n", + " 2.57\n", + " 1\n", " \n", " \n", - " 309796969\n", - " 2478375753\n", + " 310212634\n", + " 2481701077\n", " DRIVEALONEFREE\n", " DRIVEALONEFREE\n", " 0.0\n", @@ -924,8 +977,8 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 4.00\n", - " 5.00346\n", + " 6.42\n", + " 2.66128\n", " ...\n", " False\n", " False\n", @@ -933,23 +986,23 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", + " 2.57\n", + " 2.57\n", + " 2.57\n", " 1\n", " \n", " \n", - " 309796969\n", - " 2478375757\n", - " TNC_SHARED\n", - " TNC_SHARED\n", + " 310220296\n", + " 2481762369\n", + " DRIVEALONEFREE\n", + " DRIVEALONEFREE\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", " 0.0\n", - " 1.89\n", - " 9.29502\n", + " 6.72\n", + " 4.02884\n", " ...\n", " False\n", " False\n", @@ -957,14 +1010,14 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", - " 21\n", + " 2.90\n", + " 2.90\n", + " 2.90\n", + " 1\n", " \n", " \n", - " 309796969\n", - " 2478375758\n", + " 310220296\n", + " 2481762373\n", " DRIVEALONEFREE\n", " DRIVEALONEFREE\n", " 0.0\n", @@ -972,8 +1025,8 @@ " 0.0\n", " 0.0\n", " 0.0\n", - " 3.73\n", - " 4.29156\n", + " 6.87\n", + " 4.02884\n", " ...\n", " False\n", " False\n", @@ -981,228 +1034,214 @@ " False\n", " False\n", " False\n", - " False\n", - " False\n", - " False\n", + " 2.90\n", + " 2.90\n", + " 2.90\n", " 1\n", " \n", " \n", "\n", - "

14352 rows × 475 columns

\n", + "

176389 rows × 480 columns

\n", "" ], "text/plain": [ " trip_id model_choice override_choice \\\n", "tour_id \n", - "6812 54497 WALK WALK \n", - "6812 54501 WALK WALK \n", - "8110 64881 WALK WALK \n", - "8110 64885 WALK WALK \n", - "11013 88105 DRIVEALONEFREE DRIVEALONEFREE \n", + "1870 14961 WALK WALK \n", + "1870 14965 WALK WALK \n", + "20468 163745 WALK_LOC WALK_LOC \n", + "20468 163749 WALK_LOC TNC_SINGLE \n", + "27055 216441 SHARED3FREE DRIVEALONEFREE \n", "... ... ... ... \n", - "309796968 2478375745 SHARED3FREE SHARED3FREE \n", - "309796968 2478375749 SHARED3FREE SHARED3FREE \n", - "309796969 2478375753 DRIVEALONEFREE DRIVEALONEFREE \n", - "309796969 2478375757 TNC_SHARED TNC_SHARED \n", - "309796969 2478375758 DRIVEALONEFREE DRIVEALONEFREE \n", + "310202384 2481619077 DRIVEALONEFREE DRIVEALONEFREE \n", + "310212634 2481701073 DRIVEALONEFREE DRIVEALONEFREE \n", + "310212634 2481701077 DRIVEALONEFREE DRIVEALONEFREE \n", + "310220296 2481762369 DRIVEALONEFREE DRIVEALONEFREE \n", + "310220296 2481762373 DRIVEALONEFREE DRIVEALONEFREE \n", "\n", " util_DRIVEALONEFREE_Unavailable \\\n", "tour_id \n", - "6812 0.0 \n", - "6812 0.0 \n", - "8110 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", + "1870 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", "... ... \n", - "309796968 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_zero_auto_households \\\n", "tour_id \n", - "6812 1.0 \n", - "6812 1.0 \n", - "8110 1.0 \n", - "8110 1.0 \n", - "11013 0.0 \n", + "1870 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", "... ... \n", - "309796968 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_persons_less_than_16 \\\n", "tour_id \n", - "6812 0.0 \n", - "6812 0.0 \n", - "8110 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", + "1870 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", "... ... \n", - "309796968 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_for_joint_tours \\\n", "tour_id \n", - "6812 0.0 \n", - "6812 0.0 \n", - "8110 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", + "1870 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", "... ... \n", - "309796968 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_Unavailable_if_didnt_drive_to_work \\\n", "tour_id \n", - "6812 0.0 \n", - "6812 0.0 \n", - "8110 0.0 \n", - "8110 0.0 \n", - "11013 0.0 \n", + "1870 0.0 \n", + "1870 0.0 \n", + "20468 0.0 \n", + "20468 0.0 \n", + "27055 0.0 \n", "... ... \n", - "309796968 0.0 \n", - "309796968 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", - "309796969 0.0 \n", + "310202384 0.0 \n", + "310212634 0.0 \n", + "310212634 0.0 \n", + "310220296 0.0 \n", + "310220296 0.0 \n", "\n", " util_DRIVEALONEFREE_In_vehicle_time \\\n", "tour_id \n", - "6812 2.72 \n", - "6812 2.76 \n", - "8110 4.43 \n", - "8110 4.43 \n", - "11013 10.53 \n", + "1870 10.52 \n", + "1870 10.31 \n", + "20468 4.72 \n", + "20468 4.72 \n", + "27055 6.77 \n", "... ... \n", - "309796968 8.84 \n", - "309796968 8.50 \n", - "309796969 4.00 \n", - "309796969 1.89 \n", - "309796969 3.73 \n", + "310202384 2.74 \n", + "310212634 6.42 \n", + "310212634 6.42 \n", + "310220296 6.72 \n", + "310220296 6.87 \n", "\n", " util_DRIVEALONEFREE_Terminal_time ... \\\n", "tour_id ... \n", - "6812 7.72508 ... \n", - "6812 7.72508 ... \n", - "8110 17.09892 ... \n", - "8110 17.09892 ... \n", - "11013 9.08660 ... \n", + "1870 10.63286 ... \n", + "1870 10.63286 ... \n", + "20468 6.62312 ... \n", + "20468 6.62312 ... \n", + "27055 4.26534 ... \n", "... ... ... \n", - "309796968 6.83436 ... \n", - "309796968 6.83436 ... \n", - "309796969 5.00346 ... \n", - "309796969 9.29502 ... \n", - "309796969 4.29156 ... \n", - "\n", - " drive_lrf_available_inbound drive_express_available_outbound \\\n", - "tour_id \n", - "6812 False False \n", - "6812 False False \n", - "8110 False False \n", - "8110 False False \n", - "11013 False False \n", - "... ... ... \n", - "309796968 False False \n", - "309796968 False False \n", - "309796969 False False \n", - "309796969 False False \n", - "309796969 False False \n", - "\n", - " drive_express_available_inbound \\\n", - "tour_id \n", - "6812 False \n", - "6812 False \n", - "8110 False \n", - "8110 False \n", - "11013 False \n", - "... ... \n", - "309796968 False \n", - "309796968 False \n", - "309796969 False \n", - "309796969 False \n", - "309796969 False \n", + "310202384 1.91196 ... \n", + "310212634 2.66128 ... \n", + "310212634 2.66128 ... \n", + "310220296 4.02884 ... \n", + "310220296 4.02884 ... \n", "\n", " drive_heavyrail_available_outbound \\\n", "tour_id \n", - "6812 False \n", - "6812 False \n", - "8110 False \n", - "8110 False \n", - "11013 False \n", + "1870 False \n", + "1870 False \n", + "20468 True \n", + "20468 False \n", + "27055 False \n", "... ... \n", - "309796968 False \n", - "309796968 False \n", - "309796969 False \n", - "309796969 False \n", - "309796969 False \n", + "310202384 False \n", + "310212634 False \n", + "310212634 False \n", + "310220296 False \n", + "310220296 False \n", "\n", " drive_heavyrail_available_inbound \\\n", "tour_id \n", - "6812 False \n", - "6812 False \n", - "8110 False \n", - "8110 False \n", - "11013 False \n", + "1870 False \n", + "1870 False \n", + "20468 False \n", + "20468 True \n", + "27055 False \n", "... ... \n", - "309796968 False \n", - "309796968 False \n", - "309796969 False \n", - "309796969 False \n", - "309796969 False \n", + "310202384 False \n", + "310212634 False \n", + "310212634 False \n", + "310220296 False \n", + "310220296 False \n", "\n", " drive_commuter_available_outbound \\\n", "tour_id \n", - "6812 False \n", - "6812 False \n", - "8110 False \n", - "8110 False \n", - "11013 False \n", + "1870 False \n", + "1870 False \n", + "20468 True \n", + "20468 False \n", + "27055 False \n", "... ... \n", - "309796968 False \n", - "309796968 False \n", - "309796969 False \n", - "309796969 False \n", - "309796969 False \n", + "310202384 False \n", + "310212634 False \n", + "310212634 False \n", + "310220296 False \n", + "310220296 False \n", "\n", " drive_commuter_available_inbound walk_ferry_available \\\n", "tour_id \n", - "6812 False False \n", - "6812 False False \n", - "8110 False False \n", - "8110 False False \n", - "11013 False False \n", + "1870 False False \n", + "1870 False False \n", + "20468 False False \n", + "20468 True False \n", + "27055 False False \n", "... ... ... \n", - "309796968 False False \n", - "309796968 False False \n", - "309796969 False False \n", - "309796969 False False \n", - "309796969 False False \n", + "310202384 False False \n", + "310212634 False False \n", + "310212634 False False \n", + "310220296 False False \n", + "310220296 False False \n", "\n", - " drive_ferry_available override_choice_code \n", - "tour_id \n", - "6812 False 7 \n", - "6812 False 7 \n", - "8110 False 7 \n", - "8110 False 7 \n", - "11013 False 1 \n", - "... ... ... \n", - "309796968 False 5 \n", - "309796968 False 5 \n", - "309796969 False 1 \n", - "309796969 False 21 \n", - "309796969 False 1 \n", + " drive_ferry_available distance distance_walk_od \\\n", + "tour_id \n", + "1870 False 3.78 3.78 \n", + "1870 False 3.79 3.79 \n", + "20468 False 2.07 2.07 \n", + "20468 False 2.07 2.07 \n", + "27055 False 2.49 2.49 \n", + "... ... ... ... \n", + "310202384 False 1.66 2.55 \n", + "310212634 False 2.57 2.57 \n", + "310212634 False 2.57 2.57 \n", + "310220296 False 2.90 2.90 \n", + "310220296 False 2.90 2.90 \n", + "\n", + " distance_bike_od override_choice_code \n", + "tour_id \n", + "1870 3.78 7 \n", + "1870 3.79 7 \n", + "20468 2.07 9 \n", + "20468 2.07 20 \n", + "27055 2.49 1 \n", + "... ... ... \n", + "310202384 2.55 1 \n", + "310212634 2.57 1 \n", + "310212634 2.57 1 \n", + "310220296 2.90 1 \n", + "310220296 2.90 1 \n", "\n", - "[14352 rows x 475 columns]" + "[176389 rows x 480 columns]" ] }, "execution_count": 6, @@ -1228,41 +1267,10 @@ "execution_count": 7, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "req_data does not request avail_ca or avail_co but it is set and being provided\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (1 issues)\n", - "problem: low-variance-data-co (1 issues)\n", - "problem: chosen-but-not-available (2 issues)\n", - "problem: low-variance-data-co (1 issues)\n" - ] - }, { "data": { "text/plain": [ - "-10094.898223413013" + "-94787.94601063678" ] }, "execution_count": 7, @@ -1271,7 +1279,6 @@ } ], "source": [ - "model.load_data()\n", "model.doctor(repair_ch_av='-')\n", "model.loglike()" ] @@ -1284,7 +1291,7 @@ { "data": { "text/html": [ - "

Iteration 110 [Optimization terminated successfully]

" + "

Iteration 304 [Optimization terminated successfully]

" ], "text/plain": [ "" @@ -1296,7 +1303,7 @@ { "data": { "text/html": [ - "

Best LL = -7541.342641931288

" + "

Best LL = -83882.48668326798

" ], "text/plain": [ "" @@ -1327,70 +1334,74 @@ " \n", " \n", " value\n", + " best\n", " initvalue\n", - " nullvalue\n", " minimum\n", " maximum\n", + " nullvalue\n", " holdfast\n", - " note\n", - " best\n", + " \n", + " \n", + " param_name\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " -999\n", " -999.000000\n", + " -999.000000\n", " -999.0000\n", " -999.0\n", " -999.0\n", - " -999.0\n", + " 0.0\n", " 1\n", - " \n", - " -999.000000\n", " \n", " \n", " 1\n", " 1.000000\n", + " 1.000000\n", " 1.0000\n", " 1.0\n", " 1.0\n", - " 1.0\n", + " 0.0\n", " 1\n", - " \n", - " 1.000000\n", " \n", " \n", " coef_age010_trn\n", - " 0.360551\n", + " 0.131028\n", + " 0.131028\n", " 0.0000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.360551\n", " \n", " \n", " coef_age1619_da\n", - " 0.344530\n", + " 0.432972\n", + " 0.432972\n", " 0.0000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.344530\n", " \n", " \n", " coef_age16p_sr\n", - " -0.151886\n", + " -0.403317\n", + " -0.403317\n", " 0.0000\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.151886\n", " \n", " \n", " ...\n", @@ -1401,114 +1412,106 @@ " ...\n", " ...\n", " ...\n", - " ...\n", " \n", " \n", - " coef_sr3p_ASC_sr3p_othdiscr\n", - " 0.844944\n", - " 0.7398\n", + " coef_walk_transit_ASC_walk_school\n", + " -1.566510\n", + " -1.566510\n", + " -1.1828\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " 0.844944\n", " \n", " \n", - " coef_sr3p_ASC_walk_othdiscr\n", - " -5.841028\n", - " -0.5272\n", + " coef_walk_transit_ASC_walk_shopping\n", + " -1.250219\n", + " -1.250219\n", + " -0.1943\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -5.841028\n", " \n", " \n", - " coef_walk_transit_ASC_sr2_othdiscr\n", - " -1.232224\n", - " -2.7590\n", + " coef_walk_transit_ASC_walk_social\n", + " -0.846190\n", + " -0.846190\n", + " -0.7651\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.232224\n", " \n", " \n", - " coef_walk_transit_ASC_sr3p_othdiscr\n", - " -1.199264\n", - " -2.5126\n", + " coef_walk_transit_ASC_walk_univ\n", + " -1.031100\n", + " -1.031100\n", + " -1.0311\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -1.199264\n", " \n", " \n", - " coef_walk_transit_ASC_walk_othdiscr\n", - " -0.980497\n", - " -0.4997\n", + " coef_walk_transit_ASC_walk_work\n", + " 0.296352\n", + " 0.296352\n", + " 0.4432\n", + " -inf\n", + " inf\n", " 0.0\n", - " NaN\n", - " NaN\n", " 0\n", - " \n", - " -0.980497\n", " \n", " \n", "\n", - "

272 rows × 8 columns

\n", + "

272 rows × 7 columns

\n", "" ], "text/plain": [ - " value initvalue nullvalue \\\n", - "-999 -999.000000 -999.0000 -999.0 \n", - "1 1.000000 1.0000 1.0 \n", - "coef_age010_trn 0.360551 0.0000 0.0 \n", - "coef_age1619_da 0.344530 0.0000 0.0 \n", - "coef_age16p_sr -0.151886 0.0000 0.0 \n", - "... ... ... ... \n", - "coef_sr3p_ASC_sr3p_othdiscr 0.844944 0.7398 0.0 \n", - "coef_sr3p_ASC_walk_othdiscr -5.841028 -0.5272 0.0 \n", - "coef_walk_transit_ASC_sr2_othdiscr -1.232224 -2.7590 0.0 \n", - "coef_walk_transit_ASC_sr3p_othdiscr -1.199264 -2.5126 0.0 \n", - "coef_walk_transit_ASC_walk_othdiscr -0.980497 -0.4997 0.0 \n", + " value best initvalue \\\n", + "param_name \n", + "-999 -999.000000 -999.000000 -999.0000 \n", + "1 1.000000 1.000000 1.0000 \n", + "coef_age010_trn 0.131028 0.131028 0.0000 \n", + "coef_age1619_da 0.432972 0.432972 0.0000 \n", + "coef_age16p_sr -0.403317 -0.403317 0.0000 \n", + "... ... ... ... \n", + "coef_walk_transit_ASC_walk_school -1.566510 -1.566510 -1.1828 \n", + "coef_walk_transit_ASC_walk_shopping -1.250219 -1.250219 -0.1943 \n", + "coef_walk_transit_ASC_walk_social -0.846190 -0.846190 -0.7651 \n", + "coef_walk_transit_ASC_walk_univ -1.031100 -1.031100 -1.0311 \n", + "coef_walk_transit_ASC_walk_work 0.296352 0.296352 0.4432 \n", "\n", - " minimum maximum holdfast note \\\n", - "-999 -999.0 -999.0 1 \n", - "1 1.0 1.0 1 \n", - "coef_age010_trn NaN NaN 0 \n", - "coef_age1619_da NaN NaN 0 \n", - "coef_age16p_sr NaN NaN 0 \n", - "... ... ... ... ... \n", - "coef_sr3p_ASC_sr3p_othdiscr NaN NaN 0 \n", - "coef_sr3p_ASC_walk_othdiscr NaN NaN 0 \n", - "coef_walk_transit_ASC_sr2_othdiscr NaN NaN 0 \n", - "coef_walk_transit_ASC_sr3p_othdiscr NaN NaN 0 \n", - "coef_walk_transit_ASC_walk_othdiscr NaN NaN 0 \n", + " minimum maximum nullvalue holdfast \n", + "param_name \n", + "-999 -999.0 -999.0 0.0 1 \n", + "1 1.0 1.0 0.0 1 \n", + "coef_age010_trn -inf inf 0.0 0 \n", + "coef_age1619_da -inf inf 0.0 0 \n", + "coef_age16p_sr -inf inf 0.0 0 \n", + "... ... ... ... ... \n", + "coef_walk_transit_ASC_walk_school -inf inf 0.0 0 \n", + "coef_walk_transit_ASC_walk_shopping -inf inf 0.0 0 \n", + "coef_walk_transit_ASC_walk_social -inf inf 0.0 0 \n", + "coef_walk_transit_ASC_walk_univ -inf inf 0.0 0 \n", + "coef_walk_transit_ASC_walk_work -inf inf 0.0 0 \n", "\n", - " best \n", - "-999 -999.000000 \n", - "1 1.000000 \n", - "coef_age010_trn 0.360551 \n", - "coef_age1619_da 0.344530 \n", - "coef_age16p_sr -0.151886 \n", - "... ... \n", - "coef_sr3p_ASC_sr3p_othdiscr 0.844944 \n", - "coef_sr3p_ASC_walk_othdiscr -5.841028 \n", - "coef_walk_transit_ASC_sr2_othdiscr -1.232224 \n", - "coef_walk_transit_ASC_sr3p_othdiscr -1.199264 \n", - "coef_walk_transit_ASC_walk_othdiscr -0.980497 \n", - "\n", - "[272 rows x 8 columns]" + "[272 rows x 7 columns]" ] }, "metadata": {}, "output_type": "display_data" }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jpn/Git/est-mode/larch/src/larch/model/optimization.py:338: UserWarning: SLSQP may not play nicely with unbounded parameters\n", + "if you get poor results, consider setting global bounds with model.set_cap()\n", + " warnings.warn( # infinite bounds # )\n" + ] + }, { "data": { "text/html": [ @@ -1530,173 +1533,461 @@ " \n", " \n", " coef_age010_trn\n", - " 0.360551\n", + " 0.131028\n", " \n", " \n", " coef_age1619_da\n", - " 0.344530\n", + " 0.432972\n", " \n", " \n", " coef_age16p_sr\n", - " -0.151886\n", + " -0.403317\n", " \n", " \n", " coef_bike_ASC_rh\n", " -7.000000\n", " \n", " \n", - " coef_bike_ASC_walk_work\n", - " -2.659172\n", + " coef_bike_ASC_walk_eatout\n", + " -1.688820\n", " \n", " \n", - " coef_drive_transit_ASC_commuter_work\n", - " 0.426505\n", + " coef_bike_ASC_walk_escort\n", + " -13.520300\n", " \n", " \n", - " coef_drive_transit_ASC_express_work\n", - " -0.355400\n", + " coef_bike_ASC_walk_othdiscr\n", + " -1.324400\n", " \n", " \n", - " coef_drive_transit_ASC_ferry_work\n", - " 0.527700\n", + " coef_bike_ASC_walk_othmaint\n", + " -0.712317\n", " \n", " \n", - " coef_drive_transit_ASC_heavyrail_work\n", - " -11.994128\n", + " coef_bike_ASC_walk_school\n", + " -2.411542\n", " \n", " \n", - " coef_drive_transit_ASC_lightrail_work\n", - " -10.300241\n", + " coef_bike_ASC_walk_shopping\n", + " -1.577746\n", " \n", " \n", - " coef_drive_transit_ASC_rh\n", - " -162.171583\n", + " coef_bike_ASC_walk_social\n", + " -13.238401\n", " \n", " \n", - " coef_hhsize1_sr\n", - " -0.890929\n", + " coef_bike_ASC_walk_univ\n", + " -0.339900\n", " \n", " \n", - " coef_hhsize2_sr\n", - " 0.039653\n", + " coef_bike_ASC_walk_work\n", + " -2.059726\n", " \n", " \n", - " coef_ivt_work\n", - " -0.010155\n", + " coef_drive_transit_ASC_commuter_escort\n", + " 0.544200\n", " \n", " \n", - " coef_joint_auto_ASC_rh_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork\n", + " 6.898234\n", " \n", " \n", - " coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_commuter_univ_school\n", + " 3.472482\n", " \n", " \n", - " coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_commuter_work\n", + " 0.928536\n", " \n", " \n", - " coef_joint_auto_ASC_walk_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_express_escort\n", + " 0.754700\n", " \n", " \n", - " coef_joint_bike_ASC_rh_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork\n", + " 0.673466\n", " \n", " \n", - " coef_joint_bike_ASC_walk_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_express_univ_school\n", + " -0.091011\n", " \n", " \n", - " coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_express_work\n", + " 0.063342\n", " \n", " \n", - " coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_ferry_escort\n", + " 0.600500\n", " \n", " \n", - " coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork\n", + " -1.435555\n", " \n", " \n", - " coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_ferry_univ_school\n", + " 0.935424\n", " \n", " \n", - " coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_ferry_work\n", + " 0.556372\n", " \n", " \n", - " coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_heavyrail_escort\n", + " -3.973160\n", " \n", " \n", - " coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork\n", + " 0.985065\n", " \n", " \n", - " coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_heavyrail_univ_school\n", + " 0.729763\n", " \n", " \n", - " coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_heavyrail_work\n", + " 0.821984\n", " \n", " \n", - " coef_joint_ride_hail_ASC_tnc_shared\n", - " 0.000000\n", + " coef_drive_transit_ASC_lightrail_escort\n", + " 2.308376\n", " \n", " \n", - " coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork\n", + " 0.501609\n", " \n", " \n", - " coef_joint_ride_hail_ASC_walk_transit\n", - " 0.000000\n", + " coef_drive_transit_ASC_lightrail_univ_school\n", + " 3.943847\n", " \n", " \n", - " coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_lightrail_work\n", + " 0.635303\n", " \n", " \n", - " coef_joint_walk_ASC_rh_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_drive_transit_ASC_rh\n", + " -3.908149\n", " \n", " \n", - " coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_hhsize1_sr\n", + " -0.789606\n", " \n", " \n", - " coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork\n", - " 0.000000\n", + " coef_hhsize2_sr\n", + " -0.058339\n", + " \n", + " \n", + " coef_ivt_escort_shopping_eatout_othdiscr_atwork\n", + " -0.011979\n", + " \n", + " \n", + " coef_ivt_othmaint_social\n", + " -0.008160\n", + " \n", + " \n", + " coef_ivt_univ_school\n", + " -0.016233\n", + " \n", + " \n", + " coef_ivt_work\n", + " -0.014958\n", + " \n", + " \n", + " coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr\n", + " -7.345956\n", + " \n", + " \n", + " coef_joint_auto_ASC_rh_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr\n", + " 1.280849\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr2_shopping\n", + " 2.351884\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr\n", + " 1.246167\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr3p_shopping\n", + " -19.045412\n", + " \n", + " \n", + " coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr\n", + " -0.098984\n", + " \n", + " \n", + " coef_joint_auto_ASC_walk_shopping\n", + " -23.468800\n", + " \n", + " \n", + " coef_joint_auto_ASC_walk_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr\n", + " -12.305749\n", + " \n", + " \n", + " coef_joint_bike_ASC_rh_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_eatout\n", + " -15.558800\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_othdiscr\n", + " -14.444000\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_othmaint\n", + " -13.519200\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_shopping\n", + " -7.047600\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_social\n", + " -26.171400\n", + " \n", + " \n", + " coef_joint_bike_ASC_walk_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr\n", + " 0.512900\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr\n", + " -0.805943\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr\n", + " 2.029768\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr\n", + " 3.190747\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr\n", + " 0.539200\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr\n", + " 2.050928\n", + " \n", + " \n", + " coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr\n", + " -6.819150\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr\n", + " -6.822328\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr\n", + " -7.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_tnc_shared\n", + " -0.345956\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr\n", + " -4.733900\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr\n", + " -7.012565\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_walk_transit\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr\n", + " -3.048765\n", + " \n", + " \n", + " coef_joint_walk_ASC_rh_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr\n", + " 0.512900\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr\n", + " 0.664800\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork\n", + " 0.000000\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr\n", + " 0.646600\n", " \n", " \n", " coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr\n", + " 2.769790\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr\n", + " 0.727835\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr\n", + " 0.073906\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_sr2_eatout\n", + " -14.913400\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr2_othdiscr\n", + " -14.980100\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr2_othmaint\n", + " -5.324150\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr2_shopping\n", + " -21.576800\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr2_social\n", + " -20.502200\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_sr3p_eatout\n", + " -16.758700\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr3p_othdiscr\n", + " -16.735400\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr3p_othmaint\n", + " -3.973990\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr3p_shopping\n", + " -25.595300\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_sr3p_social\n", + " -34.737800\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", " \n", + " coef_joint_walk_transit_ASC_walk_eatout\n", + " 3.421757\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_walk_othdiscr\n", + " -1.023876\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_walk_othmaint\n", + " 0.282606\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_walk_shopping\n", + " 0.717138\n", + " \n", + " \n", + " coef_joint_walk_transit_ASC_walk_social\n", + " -2.272422\n", + " \n", + " \n", " coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork\n", " 0.000000\n", " \n", @@ -1737,3414 +2028,3144 @@ " 0.500000\n", " \n", " \n", - " coef_ride_hail_ASC_sr2_work\n", - " -24.964153\n", + " coef_ride_hail_ASC_sr2_eatout_social_othdiscr\n", + " -6.474676\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr2_escort_shopping_othmaint\n", + " -3.837659\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr2_school\n", + " -1.923960\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr2_univ\n", + " -4.337200\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr2_work\n", + " -12.531625\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr3p_eatout_social_othdiscr\n", + " -6.907989\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr3p_school\n", + " -8.857391\n", + " \n", + " \n", + " coef_ride_hail_ASC_sr3p_univ\n", + " -4.922000\n", " \n", " \n", " coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork\n", - " -29.661854\n", + " -10.063483\n", + " \n", + " \n", + " coef_ride_hail_ASC_taxi_eatout_social_othdiscr\n", + " -2.560139\n", + " \n", + " \n", + " coef_ride_hail_ASC_taxi_escort_shopping_othmaint\n", + " -3.667690\n", + " \n", + " \n", + " coef_ride_hail_ASC_taxi_school\n", + " 0.194629\n", + " \n", + " \n", + " coef_ride_hail_ASC_taxi_univ\n", + " -1.599400\n", " \n", " \n", " coef_ride_hail_ASC_taxi_work\n", - " -2.519566\n", + " -2.416191\n", " \n", " \n", " coef_ride_hail_ASC_tnc_shared\n", - " 23.268241\n", + " 0.940193\n", + " \n", + " \n", + " coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr\n", + " 3.020074\n", + " \n", + " \n", + " coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint\n", + " 2.436588\n", + " \n", + " \n", + " coef_ride_hail_ASC_tnc_single_school\n", + " 2.043069\n", + " \n", + " \n", + " coef_ride_hail_ASC_tnc_single_univ\n", + " 0.108100\n", " \n", " \n", " coef_ride_hail_ASC_tnc_single_work\n", - " 23.984210\n", + " 2.658594\n", + " \n", + " \n", + " coef_ride_hail_ASC_walk_eatout_social_othdiscr\n", + " -1.924015\n", + " \n", + " \n", + " coef_ride_hail_ASC_walk_school\n", + " -0.961041\n", " \n", " \n", " coef_ride_hail_ASC_walk_transit\n", - " 22.114587\n", + " 1.263022\n", + " \n", + " \n", + " coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint\n", + " -3.676198\n", " \n", " \n", " coef_ride_hail_ASC_walk_work\n", - " 21.771188\n", + " 1.329192\n", + " \n", + " \n", + " coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr\n", + " 0.000000\n", + " \n", + " \n", + " coef_sov_ASC_rh_school\n", + " -9.212494\n", + " \n", + " \n", + " coef_sov_ASC_rh_univ\n", + " -6.649000\n", " 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coef_sr2_ASC_sr2_social0.768269coef_walk_transit_ASC_sr2_shopping-9.388409e-06
coef_sr2_ASC_walk_social-2.850657coef_walk_transit_ASC_sr2_social9.230328e-07
coef_sr3p_ASC_sr2_social-0.122347coef_walk_transit_ASC_sr2_univ0.000000e+00
coef_sr3p_ASC_sr3p_social1.210687coef_walk_transit_ASC_sr2_work-1.261236e-04
coef_sr3p_ASC_walk_social-3.080113coef_walk_transit_ASC_sr3p_eatout6.744761e-06
coef_walk_transit_ASC_sr2_social-2.064534coef_walk_transit_ASC_sr3p_escort-2.229624e-07
coef_walk_transit_ASC_sr3p_social-21.630900coef_walk_transit_ASC_sr3p_othdiscr-1.310142e-05
coef_walk_transit_ASC_walk_social-2.314604coef_walk_transit_ASC_sr3p_othmaint-1.028683e-16
coef_bike_ASC_walk_othdiscr-1.397187coef_walk_transit_ASC_sr3p_school1.154167e-04
coef_joint_bike_ASC_walk_othdiscr-14.444000coef_walk_transit_ASC_sr3p_shopping-5.588721e-05
coef_joint_walk_transit_ASC_sr2_othdiscr-14.980100coef_walk_transit_ASC_sr3p_social-1.622526e-16
coef_joint_walk_transit_ASC_sr3p_othdiscr-16.735568coef_walk_transit_ASC_sr3p_univ0.000000e+00
coef_joint_walk_transit_ASC_walk_othdiscr-25.948045coef_walk_transit_ASC_sr3p_work-1.697982e-05
coef_sov_ASC_walk_othdiscr-4.939783coef_walk_transit_ASC_walk_eatout-1.290994e-04
coef_sr2_ASC_sr2_othdiscr0.855704coef_walk_transit_ASC_walk_escort1.459589e-06
coef_sr2_ASC_walk_othdiscr-2.470470coef_walk_transit_ASC_walk_othdiscr-6.642421e-05
coef_sr3p_ASC_sr2_othdiscr-0.417630coef_walk_transit_ASC_walk_othmaint-5.294680e-05
coef_sr3p_ASC_sr3p_othdiscr0.844944coef_walk_transit_ASC_walk_school9.694344e-05
coef_sr3p_ASC_walk_othdiscr-5.841028coef_walk_transit_ASC_walk_shopping4.504021e-05
coef_walk_transit_ASC_sr2_othdiscr-1.232224coef_walk_transit_ASC_walk_social-7.533156e-05
coef_walk_transit_ASC_sr3p_othdiscr-1.199264coef_walk_transit_ASC_walk_univ0.000000e+00
coef_walk_transit_ASC_walk_othdiscr-0.980497coef_walk_transit_ASC_walk_work-1.629846e-04
loglike-7541.342641931288d_loglike\n", + "
nit304nfev317njev304status0message'Optimization terminated successfully'successTrueelapsed_time0:03:32.168906method'SLSQP'n_cases162587iteration_number304loglike-83882.486683268" + ], + "text/plain": [ + "┣ x: -999 -999.000000\n", + "┃ 1 1.000000\n", + "┃ coef_age010_trn 0.131028\n", + "┃ coef_age1619_da 0.432972\n", + "┃ coef_age16p_sr -0.403317\n", + "┃ ... \n", + "┃ coef_walk_transit_ASC_walk_school -1.566510\n", + "┃ coef_walk_transit_ASC_walk_shopping -1.250219\n", + "┃ coef_walk_transit_ASC_walk_social -0.846190\n", + "┃ coef_walk_transit_ASC_walk_univ -1.031100\n", + "┃ coef_walk_transit_ASC_walk_work 0.296352\n", + "┃ Length: 272, dtype: float64\n", + "┣ logloss: 0.5159237004389526\n", + "┣ d_logloss: -999 0.000000\n", + "┃ 1 0.000000\n", + "┃ coef_age010_trn -0.000081\n", + "┃ coef_age1619_da -0.000052\n", + "┃ coef_age16p_sr -0.000041\n", + "┃ ... \n", + "┃ coef_walk_transit_ASC_walk_school 0.000097\n", + "┃ coef_walk_transit_ASC_walk_shopping 0.000045\n", + "┃ coef_walk_transit_ASC_walk_social -0.000075\n", + "┃ coef_walk_transit_ASC_walk_univ 0.000000\n", + "┃ coef_walk_transit_ASC_walk_work -0.000163\n", + "┃ Length: 272, dtype: float64\n", + "┣ nit: 304\n", + "┣ nfev: 317\n", + "┣ njev: 304\n", + "┣ status: 0\n", + "┣ message: 'Optimization terminated successfully'\n", + "┣ success: True\n", + "┣ elapsed_time: datetime.timedelta(seconds=212, microseconds=168906)\n", + "┣ method: 'SLSQP'\n", + "┣ n_cases: 162587\n", + "┣ iteration_number: 304\n", + "┣ loglike: -83882.486683268" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model.maximize_loglike(method='SLSQP', options={\"maxiter\": 1000})" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Estimated coefficients" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", " \n", - 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0
 ValueNull Value
Parameter  
-9990.000000e+00-999-999. 0.00
10.000000e+001 1.00 0.00
coef_age010_trn6.536294e-06coef_age010_trn 0.131 0.00
coef_age1619_da-2.022165e-05coef_age1619_da 0.433 0.00
coef_age16p_sr-1.531626e-03coef_age16p_sr-0.403 0.00
coef_bike_ASC_rh0.000000e+00coef_bike_ASC_rh-7.00 0.00
coef_bike_ASC_walk_work4.331337e-05coef_bike_ASC_walk_eatout-1.69 0.00
coef_drive_transit_ASC_commuter_work-4.495517e-05coef_bike_ASC_walk_escort-13.5 0.00
coef_drive_transit_ASC_express_work0.000000e+00coef_bike_ASC_walk_othdiscr-1.32 0.00
coef_drive_transit_ASC_ferry_work0.000000e+00coef_bike_ASC_walk_othmaint-0.712 0.00
coef_drive_transit_ASC_heavyrail_work-4.473961e-10coef_bike_ASC_walk_school-2.41 0.00
coef_drive_transit_ASC_lightrail_work-2.507220e-09coef_bike_ASC_walk_shopping-1.58 0.00
coef_drive_transit_ASC_rh-1.718236e-62coef_bike_ASC_walk_social-13.2 0.00
coef_hhsize1_sr4.378810e-05coef_bike_ASC_walk_univ-0.340 0.00
coef_hhsize2_sr-9.408883e-04coef_bike_ASC_walk_work-2.06 0.00
coef_ivt_work5.462510e-02coef_drive_transit_ASC_commuter_escort 0.544 0.00
coef_joint_auto_ASC_rh_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork 6.90 0.00
coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_commuter_univ_school 3.47 0.00
coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_commuter_work 0.929 0.00
coef_joint_auto_ASC_walk_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_express_escort 0.755 0.00
coef_joint_bike_ASC_rh_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork 0.673 0.00
coef_joint_bike_ASC_walk_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_express_univ_school-0.0910 0.00
coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_express_work 0.0633 0.00
coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_ferry_escort 0.601 0.00
coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork-1.44 0.00
coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_ferry_univ_school 0.935 0.00
coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_ferry_work 0.556 0.00
coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_heavyrail_escort-3.97 0.00
coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.985 0.00
coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_heavyrail_univ_school 0.730 0.00
coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_heavyrail_work 0.822 0.00
coef_joint_ride_hail_ASC_tnc_shared0.000000e+00coef_drive_transit_ASC_lightrail_escort 2.31 0.00
coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.502 0.00
coef_joint_ride_hail_ASC_walk_transit0.000000e+00coef_drive_transit_ASC_lightrail_univ_school 3.94 0.00
coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_lightrail_work 0.635 0.00
coef_joint_walk_ASC_rh_work_univ_school_escort_atwork0.000000e+00coef_drive_transit_ASC_rh-3.91 0.00
coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork0.000000e+00coef_hhsize1_sr-0.790 0.00
coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork0.000000e+00coef_hhsize2_sr-0.0583 0.00
coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork0.000000e+00coef_ivt_escort_shopping_eatout_othdiscr_atwork-0.0120 0.00
coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork0.000000e+00coef_ivt_othmaint_social-0.00816 0.00
coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork0.000000e+00coef_ivt_univ_school-0.0162 0.00
coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork0.000000e+00coef_ivt_work-0.0150 0.00
coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork0.000000e+00coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr-7.35 0.00
coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork0.000000e+00coef_joint_auto_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork0.000000e+00coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr 1.28 0.00
coef_nest_AUTO0.000000e+00coef_joint_auto_ASC_sr2_shopping 2.35 0.00
coef_nest_AUTO_DRIVEALONE0.000000e+00coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_nest_AUTO_SHAREDRIDE20.000000e+00coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr 1.25 0.00
coef_nest_AUTO_SHAREDRIDE30.000000e+00coef_joint_auto_ASC_sr3p_shopping-19.0 0.00
coef_nest_NONMOTORIZED0.000000e+00coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_nest_RIDEHAIL0.000000e+00coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr-0.0990 0.00
coef_nest_TRANSIT0.000000e+00coef_joint_auto_ASC_walk_shopping-23.5 0.00
coef_nest_TRANSIT_DRIVEACCESS0.000000e+00coef_joint_auto_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_nest_TRANSIT_WALKACCESS0.000000e+00coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr-12.3 0.00
coef_ride_hail_ASC_sr2_work-1.076131e-17coef_joint_bike_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork-4.912817e-20coef_joint_bike_ASC_walk_eatout-15.6 0.00
coef_ride_hail_ASC_taxi_work-2.445223e-27coef_joint_bike_ASC_walk_othdiscr-14.4 0.00
coef_ride_hail_ASC_tnc_shared9.512800e-04coef_joint_bike_ASC_walk_othmaint-13.5 0.00
coef_ride_hail_ASC_tnc_single_work-5.210129e-04coef_joint_bike_ASC_walk_shopping-7.05 0.00
coef_ride_hail_ASC_walk_transit-1.264748e-04coef_joint_bike_ASC_walk_social-26.2 0.00
coef_ride_hail_ASC_walk_work-1.549984e-05coef_joint_bike_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_sov_ASC_rh_work_atwork0.000000e+00coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr 0.513 0.00
coef_sov_ASC_sr2_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork 0.00 0.00
coef_sov_ASC_sr3p_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr-0.806 0.00
coef_sov_ASC_walk_work-1.293137e-04coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork 0.00 0.00
coef_sr2_ASC_rh_work_school_escort_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr 2.03 0.00
coef_sr2_ASC_sr2_work-4.657072e-04coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork 0.00 0.00
coef_sr2_ASC_sr3p0.000000e+00coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr 3.19 0.00
coef_sr2_ASC_walk_work-5.813633e-05coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork 0.00 0.00
coef_sr3p_ASC_rh_work-8.206902e-30coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr 0.539 0.00
coef_sr3p_ASC_sr2_work2.351910e-04coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork 0.00 0.00
coef_sr3p_ASC_sr3p_work-5.735054e-04coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr 2.05 0.00
coef_sr3p_ASC_walk_work3.486286e-05coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_walk_ASC_rh0.000000e+00coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr-6.82 0.00
coef_walk_transit_ASC_commuter_work0.000000e+00coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_express_work0.000000e+00coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr-6.82 0.00
coef_walk_transit_ASC_ferry_work0.000000e+00coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_heavyrail_work3.025768e-04coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_walk_transit_ASC_lightrail_work-1.644943e-03coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_rh_work-2.191119e-05coef_joint_ride_hail_ASC_tnc_shared-0.346 0.00
coef_walk_transit_ASC_sr2_work5.241777e-05coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr-4.73 0.00
coef_walk_transit_ASC_sr3p_work-2.945579e-05coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_walk_work6.752091e-04coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr-7.01 0.00
coef_bike_ASC_walk_univ0.000000e+00coef_joint_ride_hail_ASC_walk_transit 0.00 0.00
coef_drive_transit_ASC_commuter_univ_school0.000000e+00coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_drive_transit_ASC_express_univ_school0.000000e+00coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr-3.05 0.00
coef_drive_transit_ASC_ferry_univ_school0.000000e+00coef_joint_walk_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_drive_transit_ASC_heavyrail_univ_school0.000000e+00coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr 0.513 0.00
coef_drive_transit_ASC_lightrail_univ_school0.000000e+00coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork 0.00 0.00
coef_ivt_univ_school-1.050483e-02coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr 0.665 0.00
coef_ride_hail_ASC_sr2_univ0.000000e+00coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork 0.00 0.00
coef_ride_hail_ASC_sr3p_univ0.000000e+00coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr 0.647 0.00
coef_ride_hail_ASC_taxi_univ0.000000e+00coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork 0.00 0.00
coef_ride_hail_ASC_tnc_single_univ0.000000e+00coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr 2.77 0.00
coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint-2.749099e-18coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork 0.00 0.00
coef_sov_ASC_rh_univ0.000000e+00coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr 0.728 0.00
coef_sov_ASC_walk_univ0.000000e+00coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork 0.00 0.00
coef_sr2_ASC_rh_univ0.000000e+00coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr 0.0739 0.00
coef_sr2_ASC_sr2_univ0.000000e+00coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_sr2_ASC_walk_univ0.000000e+00coef_joint_walk_transit_ASC_sr2_eatout-14.9 0.00
coef_sr3p_ASC_rh_univ_escort_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_joint_walk_transit_ASC_sr2_othdiscr-15.0 0.00
coef_sr3p_ASC_sr2_univ0.000000e+00coef_joint_walk_transit_ASC_sr2_othmaint-5.32 0.00
coef_sr3p_ASC_sr3p_univ0.000000e+00coef_joint_walk_transit_ASC_sr2_shopping-21.6 0.00
coef_sr3p_ASC_walk_univ0.000000e+00coef_joint_walk_transit_ASC_sr2_social-20.5 0.00
coef_walk_transit_ASC_commuter_univ_school0.000000e+00
coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_express_univ_school0.000000e+00coef_joint_walk_transit_ASC_sr3p_eatout-16.8 0.00
coef_walk_transit_ASC_ferry_univ_school0.000000e+00coef_joint_walk_transit_ASC_sr3p_othdiscr-16.7 0.00
coef_walk_transit_ASC_heavyrail_univ_school-5.322431e-05coef_joint_walk_transit_ASC_sr3p_othmaint-3.97 0.00
coef_walk_transit_ASC_lightrail_univ_school1.268521e-04coef_joint_walk_transit_ASC_sr3p_shopping-25.6 0.00
coef_walk_transit_ASC_rh_univ0.000000e+00coef_joint_walk_transit_ASC_sr3p_social-34.7 0.00
coef_walk_transit_ASC_sr2_univ0.000000e+00coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_walk_transit_ASC_sr3p_univ0.000000e+00coef_joint_walk_transit_ASC_walk_eatout 3.42 0.00
coef_walk_transit_ASC_walk_univ0.000000e+00coef_joint_walk_transit_ASC_walk_othdiscr-1.02 0.00
coef_bike_ASC_walk_school-2.045778e-57coef_joint_walk_transit_ASC_walk_othmaint 0.283 0.00
coef_ride_hail_ASC_sr2_school-7.168630e-16coef_joint_walk_transit_ASC_walk_shopping 0.717 0.00
coef_ride_hail_ASC_sr3p_school-4.930109e-16coef_joint_walk_transit_ASC_walk_social-2.27 0.00
coef_ride_hail_ASC_taxi_school-4.621869e-27coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_ride_hail_ASC_tnc_single_school-1.784036e-04coef_nest_AUTO 0.720 1.00
coef_ride_hail_ASC_walk_school-4.237276e-16coef_nest_AUTO_DRIVEALONE 0.350 1.00
coef_sov_ASC_rh_school-4.635032e-48coef_nest_AUTO_SHAREDRIDE2 0.350 1.00
coef_sov_ASC_walk_school-2.359157e-05coef_nest_AUTO_SHAREDRIDE3 0.350 1.00
coef_sr2_ASC_sr2_school5.082394e-05coef_nest_NONMOTORIZED 0.720 1.00
coef_sr2_ASC_walk_school-3.377311e-05coef_nest_RIDEHAIL 0.360 1.00
coef_sr3p_ASC_rh_school-8.786869e-64coef_nest_TRANSIT 0.720 1.00
coef_sr3p_ASC_sr2_school-1.979710e-04coef_nest_TRANSIT_DRIVEACCESS 0.500 1.00
coef_sr3p_ASC_sr3p_school2.444092e-04coef_nest_TRANSIT_WALKACCESS 0.500 1.00
coef_sr3p_ASC_walk_school-1.610767e-04coef_ride_hail_ASC_sr2_eatout_social_othdiscr-6.47 0.00
coef_walk_transit_ASC_rh_school1.961319e-05coef_ride_hail_ASC_sr2_escort_shopping_othmaint-3.84 0.00
coef_walk_transit_ASC_sr2_school2.811230e-05coef_ride_hail_ASC_sr2_school-1.92 0.00
coef_walk_transit_ASC_sr3p_school-4.190001e-05coef_ride_hail_ASC_sr2_univ-4.34 0.00
coef_walk_transit_ASC_walk_school-1.524977e-05coef_ride_hail_ASC_sr2_work-12.5 0.00
coef_bike_ASC_walk_escort-8.352243e-10coef_ride_hail_ASC_sr3p_eatout_social_othdiscr-6.91 0.00
coef_drive_transit_ASC_commuter_escort0.000000e+00coef_ride_hail_ASC_sr3p_school-8.86 0.00
coef_drive_transit_ASC_express_escort0.000000e+00coef_ride_hail_ASC_sr3p_univ-4.92 0.00
coef_drive_transit_ASC_ferry_escort0.000000e+00coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork-10.1 0.00
coef_drive_transit_ASC_heavyrail_escort-1.175371e-11coef_ride_hail_ASC_taxi_eatout_social_othdiscr-2.56 0.00
coef_drive_transit_ASC_lightrail_escort0.000000e+00coef_ride_hail_ASC_taxi_escort_shopping_othmaint-3.67 0.00
coef_ivt_escort_shopping_eatout_othdiscr_atwork-7.640350e-02coef_ride_hail_ASC_taxi_school 0.195 0.00
coef_ride_hail_ASC_sr2_escort_shopping_othmaint-2.138916e-17coef_ride_hail_ASC_taxi_univ-1.60 0.00
coef_ride_hail_ASC_taxi_escort_shopping_othmaint-2.798746e-29coef_ride_hail_ASC_taxi_work-2.42 0.00
coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint9.394624e-05coef_ride_hail_ASC_tnc_shared 0.940 0.00
coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr 3.02 0.00
coef_sov_ASC_sr2_escort0.000000e+00coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint 2.44 0.00
coef_sov_ASC_sr3p_escort0.000000e+00coef_ride_hail_ASC_tnc_single_school 2.04 0.00
coef_sov_ASC_walk_escort0.000000e+00coef_ride_hail_ASC_tnc_single_univ 0.108 0.00
coef_sr2_ASC_sr2_escort-6.160566e-04coef_ride_hail_ASC_tnc_single_work 2.66 0.00
coef_sr2_ASC_walk_escort-1.374539e-08coef_ride_hail_ASC_walk_eatout_social_othdiscr-1.92 0.00
coef_sr3p_ASC_sr2_escort4.939249e-05coef_ride_hail_ASC_walk_school-0.961 0.00
coef_sr3p_ASC_sr3p_escort-5.312809e-05coef_ride_hail_ASC_walk_transit 1.26 0.00
coef_sr3p_ASC_walk_escort7.813745e-07coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint-3.68 0.00
coef_walk_transit_ASC_commuter_escort0.000000e+00coef_ride_hail_ASC_walk_work 1.33 0.00
coef_walk_transit_ASC_express_escort0.000000e+00coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr 0.00 0.00
coef_walk_transit_ASC_ferry_escort0.000000e+00coef_sov_ASC_rh_school-9.21 0.00
coef_walk_transit_ASC_heavyrail_escort1.847275e-05coef_sov_ASC_rh_univ-6.65 0.00
coef_walk_transit_ASC_lightrail_escort-6.175222e-05coef_sov_ASC_rh_work_atwork-7.00 0.00
coef_walk_transit_ASC_rh_escort_shopping_othmaint-3.544690e-05coef_sov_ASC_sr2_escort 0.00 0.00
coef_walk_transit_ASC_sr2_escort-4.425501e-05coef_sov_ASC_sr2_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork-999. 0.00
coef_walk_transit_ASC_sr3p_escort-4.715077e-99coef_sov_ASC_sr3p_escort 0.00 0.00
coef_walk_transit_ASC_walk_escort-5.506864e-35coef_sov_ASC_sr3p_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork-999. 0.00
coef_bike_ASC_walk_shopping-1.404547e-12coef_sov_ASC_walk_eatout-1.88 0.00
coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sov_ASC_walk_escort 0.00 0.00
coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sov_ASC_walk_othdiscr-1.66 0.00
coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sov_ASC_walk_othmaint-1.38 0.00
coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sov_ASC_walk_school-2.30 0.00
coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sov_ASC_walk_shopping-1.59 0.00
coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sov_ASC_walk_social-1.87 0.00
coef_joint_auto_ASC_sr2_shopping1.199811e-05coef_sov_ASC_walk_univ-1.06 0.00
coef_joint_auto_ASC_sr3p_shopping-5.796288e-07coef_sov_ASC_walk_work-1.17 0.00
coef_joint_auto_ASC_walk_shopping-1.431461e-09coef_sr2_ASC_rh_univ-6.69 0.00
coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_rh_work_school_escort_shopping_eatout_othmaint_social_othdiscr_atwork-7.00 0.00
coef_joint_bike_ASC_walk_shopping0.000000e+00coef_sr2_ASC_sr2_eatout 1.54 0.00
coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_escort 0.829 0.00
coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_othdiscr 1.16 0.00
coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_othmaint 1.50 0.00
coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_school-0.206 0.00
coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_shopping 1.78 0.00
coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_social 0.975 0.00
coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_univ 0.430 0.00
coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr2_work 0.470 0.00
coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_sr3p-999. 0.00
coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_eatout-0.189 0.00
coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_escort-2.21 0.00
coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_othdiscr-0.449 0.00
coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_othmaint-0.603 0.00
coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_school-0.134 0.00
coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr0.000000e+00coef_sr2_ASC_walk_shopping-0.528 0.00
coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr3.150898e-09coef_sr2_ASC_walk_social-0.791 0.00
coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr-1.676959e-05coef_sr2_ASC_walk_univ 1.30 0.00
coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr-4.853053e-05coef_sr2_ASC_walk_work-0.125 0.00
coef_joint_walk_transit_ASC_sr2_shopping-6.388223e-11coef_sr3p_ASC_rh_school-6.90 0.00
coef_joint_walk_transit_ASC_sr3p_shopping-3.009123e-13coef_sr3p_ASC_rh_univ_escort_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_walk_transit_ASC_walk_shopping-1.854492e-40coef_sr3p_ASC_rh_work-71.9 0.00
coef_sov_ASC_walk_shopping1.979504e-05coef_sr3p_ASC_sr2_eatout 0.0170 0.00
coef_sr2_ASC_sr2_shopping-1.633169e-04coef_sr3p_ASC_sr2_escort 0.132 0.00
coef_sr2_ASC_walk_shopping-2.087183e-05coef_sr3p_ASC_sr2_othdiscr-0.193 0.00
coef_sr3p_ASC_sr2_shopping-2.114611e-05coef_sr3p_ASC_sr2_othmaint 0.0597 0.00
coef_sr3p_ASC_sr3p_shopping-7.777893e-06coef_sr3p_ASC_sr2_school-1.38 0.00
coef_sr3p_ASC_walk_shopping-5.499761e-05coef_sr3p_ASC_sr2_shopping 0.409 0.00
coef_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sr3p_ASC_sr2_social 0.441 0.00
coef_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sr3p_ASC_sr2_univ-0.312 0.00
coef_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork0.000000e+00coef_sr3p_ASC_sr2_work-0.769 0.00
coef_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork-9.355912e-05coef_sr3p_ASC_sr3p_eatout 1.75 0.00
coef_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork1.458827e-04coef_sr3p_ASC_sr3p_escort 1.12 0.00
coef_walk_transit_ASC_sr2_shopping-4.838269e-05coef_sr3p_ASC_sr3p_othdiscr 1.21 0.00
coef_walk_transit_ASC_sr3p_shopping-7.841219e-48coef_sr3p_ASC_sr3p_othmaint 1.48 0.00
coef_walk_transit_ASC_walk_shopping-5.761910e-05coef_sr3p_ASC_sr3p_school-0.385 0.00
coef_bike_ASC_walk_eatout-5.163611e-94coef_sr3p_ASC_sr3p_shopping 1.86 0.00
coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr1.042498e-05coef_sr3p_ASC_sr3p_social 1.38 0.00
coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr6.920224e-06coef_sr3p_ASC_sr3p_univ 0.629 0.00
coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr-5.600401e-05coef_sr3p_ASC_sr3p_work 0.255 0.00
coef_joint_bike_ASC_walk_eatout0.000000e+00coef_sr3p_ASC_walk_eatout-0.240 0.00
coef_joint_walk_transit_ASC_sr2_eatout-2.828607e-08coef_sr3p_ASC_walk_escort-1.30 0.00
coef_joint_walk_transit_ASC_sr3p_eatout-2.226057e-09coef_sr3p_ASC_walk_othdiscr-0.712 0.00
coef_joint_walk_transit_ASC_walk_eatout-1.504477e-05coef_sr3p_ASC_walk_othmaint-0.347 0.00
coef_ride_hail_ASC_sr2_eatout_social_othdiscr-3.869795e-16coef_sr3p_ASC_walk_school-0.603 0.00
coef_ride_hail_ASC_sr3p_eatout_social_othdiscr-1.643875e-13coef_sr3p_ASC_walk_shopping-0.431 0.00
coef_ride_hail_ASC_taxi_eatout_social_othdiscr-2.363466e-28coef_sr3p_ASC_walk_social-0.451 0.00
coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr-2.038351e-04coef_sr3p_ASC_walk_univ 1.68 0.00
coef_ride_hail_ASC_walk_eatout_social_othdiscr-1.208287e-15coef_sr3p_ASC_walk_work-0.120 0.00
coef_sov_ASC_walk_eatout1.478005e-05coef_walk_ASC_rh-7.00 0.00
coef_sr2_ASC_sr2_eatout1.134955e-05coef_walk_transit_ASC_commuter_escort 0.544 0.00
coef_sr2_ASC_walk_eatout-5.387236e-05coef_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork 0.183 0.00
coef_sr3p_ASC_sr2_eatout-4.592690e-05coef_walk_transit_ASC_commuter_univ_school 2.15 0.00
coef_sr3p_ASC_sr3p_eatout8.013239e-05coef_walk_transit_ASC_commuter_work 0.646 0.00
coef_sr3p_ASC_walk_eatout-2.559943e-05coef_walk_transit_ASC_express_escort 0.755 0.00
coef_walk_transit_ASC_rh_eatout_social_othdiscr2.475426e-05coef_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork 1.09 0.00
coef_walk_transit_ASC_sr2_eatout-8.378197e-06coef_walk_transit_ASC_express_univ_school 0.736 0.00
coef_walk_transit_ASC_sr3p_eatout5.928461e-05coef_walk_transit_ASC_express_work-0.116 0.00
coef_walk_transit_ASC_walk_eatout3.351367e-05coef_walk_transit_ASC_ferry_escort 0.601 0.00
coef_bike_ASC_walk_othmaint-1.105637e-05coef_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork-5.31 0.00
coef_ivt_othmaint_social5.370351e-02coef_walk_transit_ASC_ferry_univ_school 0.102 0.00
coef_joint_bike_ASC_walk_othmaint0.000000e+00coef_walk_transit_ASC_ferry_work-0.283 0.00
coef_joint_walk_transit_ASC_sr2_othmaint-1.624906e-06coef_walk_transit_ASC_heavyrail_escort 1.73 0.00
coef_joint_walk_transit_ASC_sr3p_othmaint-7.397451e-24coef_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork 1.19 0.00
coef_joint_walk_transit_ASC_walk_othmaint-3.953263e-30coef_walk_transit_ASC_heavyrail_univ_school 1.50 0.00
coef_sov_ASC_walk_othmaint5.401771e-05coef_walk_transit_ASC_heavyrail_work 0.661 0.00
coef_sr2_ASC_sr2_othmaint-4.666221e-05coef_walk_transit_ASC_lightrail_escort 2.37 0.00
coef_sr2_ASC_walk_othmaint4.186596e-05coef_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.939 0.00
coef_sr3p_ASC_sr2_othmaint7.950676e-05coef_walk_transit_ASC_lightrail_univ_school 1.96 0.00
coef_sr3p_ASC_sr3p_othmaint-8.383183e-05coef_walk_transit_ASC_lightrail_work 0.724 0.00
coef_sr3p_ASC_walk_othmaint1.080875e-04coef_walk_transit_ASC_rh_eatout_social_othdiscr-4.96 0.00
coef_walk_transit_ASC_sr2_othmaint-4.017102e-15coef_walk_transit_ASC_rh_escort_shopping_othmaint-5.01 0.00
coef_walk_transit_ASC_sr3p_othmaint-6.376816e-12coef_walk_transit_ASC_rh_school-7.20 0.00
coef_walk_transit_ASC_walk_othmaint1.941271e-05coef_walk_transit_ASC_rh_univ-4.27 0.00
coef_bike_ASC_walk_social-7.802548e-08coef_walk_transit_ASC_rh_work-4.01 0.00
coef_joint_bike_ASC_walk_social0.000000e+00coef_walk_transit_ASC_sr2_eatout-2.12 0.00
coef_joint_walk_transit_ASC_sr2_social0.000000e+00coef_walk_transit_ASC_sr2_escort-0.579 0.00
coef_joint_walk_transit_ASC_sr3p_social-2.473076e-24coef_walk_transit_ASC_sr2_othdiscr-1.93 0.00
coef_joint_walk_transit_ASC_walk_social-4.316912e-11coef_walk_transit_ASC_sr2_othmaint-34.7 0.00
coef_sov_ASC_walk_social-5.943503e-10coef_walk_transit_ASC_sr2_school-3.46 0.00
coef_sr2_ASC_sr2_social-2.952234e-05coef_walk_transit_ASC_sr2_shopping-2.57 0.00
coef_sr2_ASC_walk_social2.268310e-05coef_walk_transit_ASC_sr2_social-2.27 0.00
coef_sr3p_ASC_sr2_social1.341521e-05coef_walk_transit_ASC_sr2_univ-4.00 0.00
coef_sr3p_ASC_sr3p_social3.699722e-05coef_walk_transit_ASC_sr2_work-2.58 0.00
coef_sr3p_ASC_walk_social1.658572e-05coef_walk_transit_ASC_sr3p_eatout-4.64 0.00
coef_walk_transit_ASC_sr2_social2.083999e-04coef_walk_transit_ASC_sr3p_escort-4.04 0.00
coef_walk_transit_ASC_sr3p_social-4.566934e-12coef_walk_transit_ASC_sr3p_othdiscr-1.89 0.00
coef_walk_transit_ASC_walk_social-1.676922e-04coef_walk_transit_ASC_sr3p_othmaint-29.4 0.00
coef_bike_ASC_walk_othdiscr5.983509e-05coef_walk_transit_ASC_sr3p_school-3.51 0.00
coef_joint_bike_ASC_walk_othdiscr0.000000e+00coef_walk_transit_ASC_sr3p_shopping-2.48 0.00
coef_joint_walk_transit_ASC_sr2_othdiscr0.000000e+00coef_walk_transit_ASC_sr3p_social-21.6 0.00
coef_joint_walk_transit_ASC_sr3p_othdiscr-5.170098e-09coef_walk_transit_ASC_sr3p_univ-28.7 0.00
coef_joint_walk_transit_ASC_walk_othdiscr-8.676475e-14coef_walk_transit_ASC_sr3p_work-3.23 0.00
coef_sov_ASC_walk_othdiscr4.282980e-06coef_walk_transit_ASC_walk_eatout 1.42 0.00
coef_sr2_ASC_sr2_othdiscr-6.122804e-05coef_walk_transit_ASC_walk_escort-1.54 0.00
coef_sr2_ASC_walk_othdiscr-2.831322e-05coef_walk_transit_ASC_walk_othdiscr-0.863 0.00
coef_sr3p_ASC_sr2_othdiscr-4.358718e-05coef_walk_transit_ASC_walk_othmaint 0.213 0.00
coef_sr3p_ASC_sr3p_othdiscr-8.122719e-06coef_walk_transit_ASC_walk_school-1.57 0.00
coef_sr3p_ASC_walk_othdiscr4.957928e-05coef_walk_transit_ASC_walk_shopping-1.25 0.00
coef_walk_transit_ASC_sr2_othdiscr8.887145e-06coef_walk_transit_ASC_walk_social-0.846 0.00
coef_walk_transit_ASC_sr3p_othdiscr2.325113e-05coef_walk_transit_ASC_walk_univ-1.03 0.00
coef_walk_transit_ASC_walk_othdiscr-4.684099e-05coef_walk_transit_ASC_walk_work 0.296 0.00
nit110nfev255njev110status0message'Optimization terminated successfully'successTrueelapsed_time0:02:12.823819method'SLSQP'n_cases13279iteration_number110logloss0.5679149515725046" - ], - "text/plain": [ - "┣ x: -999 -999.000000\n", - "┃ 1 1.000000\n", - "┃ coef_age010_trn 0.360551\n", - "┃ coef_age1619_da 0.344530\n", - "┃ coef_age16p_sr -0.151886\n", - "┃ ... \n", - "┃ coef_sr3p_ASC_sr3p_othdiscr 0.844944\n", - "┃ coef_sr3p_ASC_walk_othdiscr -5.841028\n", - "┃ coef_walk_transit_ASC_sr2_othdiscr -1.232224\n", - "┃ coef_walk_transit_ASC_sr3p_othdiscr -1.199264\n", - "┃ coef_walk_transit_ASC_walk_othdiscr -0.980497\n", - "┃ Length: 272, dtype: float64\n", - "┣ loglike: -7541.342641931288\n", - "┣ d_loglike: -999 0.000000\n", - "┃ 1 0.000000\n", - "┃ coef_age010_trn 0.000007\n", - "┃ coef_age1619_da -0.000020\n", - "┃ coef_age16p_sr -0.001532\n", - "┃ ... \n", - "┃ coef_sr3p_ASC_sr3p_othdiscr -0.000008\n", - "┃ coef_sr3p_ASC_walk_othdiscr 0.000050\n", - "┃ coef_walk_transit_ASC_sr2_othdiscr 0.000009\n", - "┃ coef_walk_transit_ASC_sr3p_othdiscr 0.000023\n", - "┃ coef_walk_transit_ASC_walk_othdiscr -0.000047\n", - "┃ Length: 272, dtype: float64\n", - "┣ nit: 110\n", - "┣ nfev: 255\n", - "┣ njev: 110\n", - "┣ status: 0\n", - "┣ message: 'Optimization terminated successfully'\n", - "┣ success: True\n", - "┣ elapsed_time: datetime.timedelta(seconds=132, microseconds=823819)\n", - "┣ method: 'SLSQP'\n", - "┣ n_cases: 13279\n", - "┣ iteration_number: 110\n", - "┣ logloss: 0.5679149515725046" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model.maximize_loglike(method='SLSQP', options={\"maxiter\": 1000})" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Estimated coefficients" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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Value Null Value
-999-999.-999.00
1 1.00 1.00
coef_age010_trn 0.361 0.00
coef_age1619_da 0.345 0.00
coef_age16p_sr-0.152 0.00
coef_bike_ASC_rh-7.00 0.00
coef_bike_ASC_walk_work-2.66 0.00
coef_drive_transit_ASC_commuter_work 0.427 0.00
coef_drive_transit_ASC_express_work-0.355 0.00
coef_drive_transit_ASC_ferry_work 0.528 0.00
coef_drive_transit_ASC_heavyrail_work-12.0 0.00
coef_drive_transit_ASC_lightrail_work-10.3 0.00
coef_drive_transit_ASC_rh-162. 0.00
coef_hhsize1_sr-0.891 0.00
coef_hhsize2_sr 0.0397 0.00
coef_ivt_work-0.0102 0.00
coef_joint_auto_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_auto_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_joint_auto_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_joint_auto_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_joint_bike_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_bike_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_commuter_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_express_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_ferry_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_heavyrail_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_lightrail_work_univ_school_escort_atwork 0.00 0.00
coef_joint_drive_transit_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_ride_hail_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_joint_ride_hail_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_joint_ride_hail_ASC_taxi_work_univ_school_escort_atwork 0.00 0.00
coef_joint_ride_hail_ASC_tnc_shared 0.00 0.00
coef_joint_ride_hail_ASC_tnc_single_work_univ_school_escort_atwork 0.00 0.00
coef_joint_ride_hail_ASC_walk_transit 0.00 0.00
coef_joint_ride_hail_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_commuter_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_express_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_ferry_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_heavyrail_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_lightrail_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_rh_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_sr2_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_sr3p_work_univ_school_escort_atwork 0.00 0.00
coef_joint_walk_transit_ASC_walk_work_univ_school_escort_atwork 0.00 0.00
coef_nest_AUTO 0.720 1.00
coef_nest_AUTO_DRIVEALONE 0.350 1.00
coef_nest_AUTO_SHAREDRIDE2 0.350 1.00
coef_nest_AUTO_SHAREDRIDE3 0.350 1.00
coef_nest_NONMOTORIZED 0.720 1.00
coef_nest_RIDEHAIL 0.360 1.00
coef_nest_TRANSIT 0.720 1.00
coef_nest_TRANSIT_DRIVEACCESS 0.500 1.00
coef_nest_TRANSIT_WALKACCESS 0.500 1.00
coef_ride_hail_ASC_sr2_work-25.0 0.00
coef_ride_hail_ASC_sr3p_work_escort_shopping_othmaint_atwork-29.7 0.00
coef_ride_hail_ASC_taxi_work-2.52 0.00
coef_ride_hail_ASC_tnc_shared 23.3 0.00
coef_ride_hail_ASC_tnc_single_work 24.0 0.00
coef_ride_hail_ASC_walk_transit 22.1 0.00
coef_ride_hail_ASC_walk_work 21.8 0.00
coef_sov_ASC_rh_work_atwork-7.00 0.00
coef_sov_ASC_sr2_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork-999. 0.00
coef_sov_ASC_sr3p_work_univ_school_shopping_eatout_othmaint_social_othdiscr_atwork-999. 0.00
coef_sov_ASC_walk_work-3.01 0.00
coef_sr2_ASC_rh_work_school_escort_shopping_eatout_othmaint_social_othdiscr_atwork-7.00 0.00
coef_sr2_ASC_sr2_work 0.197 0.00
coef_sr2_ASC_sr3p-999. 0.00
coef_sr2_ASC_walk_work-2.22 0.00
coef_sr3p_ASC_rh_work-71.9 0.00
coef_sr3p_ASC_sr2_work-0.954 0.00
coef_sr3p_ASC_sr3p_work 0.00228 0.00
coef_sr3p_ASC_walk_work-2.36 0.00
coef_walk_ASC_rh-7.00 0.00
coef_walk_transit_ASC_commuter_work 0.401 0.00
coef_walk_transit_ASC_express_work-0.355 0.00
coef_walk_transit_ASC_ferry_work 0.528 0.00
coef_walk_transit_ASC_heavyrail_work 0.503 0.00
coef_walk_transit_ASC_lightrail_work 0.633 0.00
coef_walk_transit_ASC_rh_work-2.87 0.00
coef_walk_transit_ASC_sr2_work-2.26 0.00
coef_walk_transit_ASC_sr3p_work-2.65 0.00
coef_walk_transit_ASC_walk_work-0.391 0.00
coef_bike_ASC_walk_univ-0.340 0.00
coef_drive_transit_ASC_commuter_univ_school 0.908 0.00
coef_drive_transit_ASC_express_univ_school 0.322 0.00
coef_drive_transit_ASC_ferry_univ_school 1.72 0.00
coef_drive_transit_ASC_heavyrail_univ_school 0.849 0.00
coef_drive_transit_ASC_lightrail_univ_school 1.44 0.00
coef_ivt_univ_school-0.00827 0.00
coef_ride_hail_ASC_sr2_univ-4.34 0.00
coef_ride_hail_ASC_sr3p_univ-4.92 0.00
coef_ride_hail_ASC_taxi_univ-1.60 0.00
coef_ride_hail_ASC_tnc_single_univ 0.108 0.00
coef_ride_hail_ASC_walk_univ_escort_shopping_othmaint-26.3 0.00
coef_sov_ASC_rh_univ-6.65 0.00
coef_sov_ASC_walk_univ-1.06 0.00
coef_sr2_ASC_rh_univ-6.69 0.00
coef_sr2_ASC_sr2_univ 0.430 0.00
coef_sr2_ASC_walk_univ 1.30 0.00
coef_sr3p_ASC_rh_univ_escort_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_sr3p_ASC_sr2_univ-0.312 0.00
coef_sr3p_ASC_sr3p_univ 0.629 0.00
coef_sr3p_ASC_walk_univ 1.68 0.00
coef_walk_transit_ASC_commuter_univ_school 0.908 0.00
coef_walk_transit_ASC_express_univ_school 0.322 0.00
coef_walk_transit_ASC_ferry_univ_school 1.72 0.00
coef_walk_transit_ASC_heavyrail_univ_school 0.867 0.00
coef_walk_transit_ASC_lightrail_univ_school 1.57 0.00
coef_walk_transit_ASC_rh_univ-4.27 0.00
coef_walk_transit_ASC_sr2_univ-4.00 0.00
coef_walk_transit_ASC_sr3p_univ-28.7 0.00
coef_walk_transit_ASC_walk_univ-1.03 0.00
coef_bike_ASC_walk_school-106. 0.00
coef_ride_hail_ASC_sr2_school-17.6 0.00
coef_ride_hail_ASC_sr3p_school-17.9 0.00
coef_ride_hail_ASC_taxi_school-1.64 0.00
coef_ride_hail_ASC_tnc_single_school 23.7 0.00
coef_ride_hail_ASC_walk_school-17.9 0.00
coef_sov_ASC_rh_school-126. 0.00
coef_sov_ASC_walk_school-3.12 0.00
coef_sr2_ASC_sr2_school-0.541 0.00
coef_sr2_ASC_walk_school-2.04 0.00
coef_sr3p_ASC_rh_school-168. 0.00
coef_sr3p_ASC_sr2_school-1.02 0.00
coef_sr3p_ASC_sr3p_school 0.193 0.00
coef_sr3p_ASC_walk_school-2.44 0.00
coef_walk_transit_ASC_rh_school-4.36 0.00
coef_walk_transit_ASC_sr2_school-2.27 0.00
coef_walk_transit_ASC_sr3p_school-2.41 0.00
coef_walk_transit_ASC_walk_school-1.50 0.00
coef_bike_ASC_walk_escort-13.5 0.00
coef_drive_transit_ASC_commuter_escort 0.544 0.00
coef_drive_transit_ASC_express_escort 0.755 0.00
coef_drive_transit_ASC_ferry_escort 0.601 0.00
coef_drive_transit_ASC_heavyrail_escort-14.2 0.00
coef_drive_transit_ASC_lightrail_escort 0.525 0.00
coef_ivt_escort_shopping_eatout_othdiscr_atwork-0.0119 0.00
coef_ride_hail_ASC_sr2_escort_shopping_othmaint-23.9 0.00
coef_ride_hail_ASC_taxi_escort_shopping_othmaint-3.66 0.00
coef_ride_hail_ASC_tnc_single_escort_shopping_othmaint 24.2 0.00
coef_sov_ASC_rh_escort_shopping_eatout_othmaint_social_othdiscr 0.00 0.00
coef_sov_ASC_sr2_escort 0.00 0.00
coef_sov_ASC_sr3p_escort 0.00 0.00
coef_sov_ASC_walk_escort 0.00 0.00
coef_sr2_ASC_sr2_escort 0.488 0.00
coef_sr2_ASC_walk_escort-25.5 0.00
coef_sr3p_ASC_sr2_escort-0.207 0.00
coef_sr3p_ASC_sr3p_escort 0.896 0.00
coef_sr3p_ASC_walk_escort-3.42 0.00
coef_walk_transit_ASC_commuter_escort 0.544 0.00
coef_walk_transit_ASC_express_escort 0.755 0.00
coef_walk_transit_ASC_ferry_escort 0.601 0.00
coef_walk_transit_ASC_heavyrail_escort 0.850 0.00
coef_walk_transit_ASC_lightrail_escort 1.13 0.00
coef_walk_transit_ASC_rh_escort_shopping_othmaint-2.36 0.00
coef_walk_transit_ASC_sr2_escort-1.02 0.00
coef_walk_transit_ASC_sr3p_escort-185. 0.00
coef_walk_transit_ASC_walk_escort-88.1 0.00
coef_bike_ASC_walk_shopping-23.2 0.00
coef_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork 0.513 0.00
coef_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork 0.665 0.00
coef_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork 0.647 0.00
coef_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.540 0.00
coef_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.539 0.00
coef_joint_auto_ASC_rh_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_auto_ASC_sr2_shopping 2.78 0.00
coef_joint_auto_ASC_sr3p_shopping-19.1 0.00
coef_joint_auto_ASC_walk_shopping-23.5 0.00
coef_joint_bike_ASC_rh_shopping_eatout_othmaint_social_othdiscr-12.3 0.00
coef_joint_bike_ASC_walk_shopping-7.05 0.00
coef_joint_drive_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr 0.513 0.00
coef_joint_drive_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr 0.665 0.00
coef_joint_drive_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr 0.647 0.00
coef_joint_drive_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr 0.540 0.00
coef_joint_drive_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr 0.539 0.00
coef_joint_drive_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr 4.61 0.00
coef_joint_ride_hail_ASC_sr2_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_ride_hail_ASC_sr3p_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_ride_hail_ASC_taxi_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_ride_hail_ASC_tnc_single_shopping_eatout_othmaint_social_othdiscr-4.73 0.00
coef_joint_ride_hail_ASC_walk_shopping_eatout_othmaint_social_othdiscr-7.00 0.00
coef_joint_walk_ASC_rh_shopping_eatout_othmaint_social_othdiscr-3.04 0.00
coef_joint_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr 0.513 0.00
coef_joint_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr 0.665 0.00
coef_joint_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr 0.647 0.00
coef_joint_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr 21.6 0.00
coef_joint_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr 0.924 0.00
coef_joint_walk_transit_ASC_rh_shopping_eatout_othmaint_social_othdiscr 3.13 0.00
coef_joint_walk_transit_ASC_sr2_shopping-21.6 0.00
coef_joint_walk_transit_ASC_sr3p_shopping-25.6 0.00
coef_joint_walk_transit_ASC_walk_shopping-102. 0.00
coef_sov_ASC_walk_shopping-3.79 0.00
coef_sr2_ASC_sr2_shopping 1.75 0.00
coef_sr2_ASC_walk_shopping-3.65 0.00
coef_sr3p_ASC_sr2_shopping 0.336 0.00
coef_sr3p_ASC_sr3p_shopping 1.64 0.00
coef_sr3p_ASC_walk_shopping-3.92 0.00
coef_walk_transit_ASC_commuter_shopping_eatout_othmaint_social_othdiscr_atwork 0.513 0.00
coef_walk_transit_ASC_express_shopping_eatout_othmaint_social_othdiscr_atwork 0.665 0.00
coef_walk_transit_ASC_ferry_shopping_eatout_othmaint_social_othdiscr_atwork 0.647 0.00
coef_walk_transit_ASC_heavyrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.926 0.00
coef_walk_transit_ASC_lightrail_shopping_eatout_othmaint_social_othdiscr_atwork 0.831 0.00
coef_walk_transit_ASC_sr2_shopping-2.12 0.00
coef_walk_transit_ASC_sr3p_shopping-91.1 0.00
coef_walk_transit_ASC_walk_shopping-0.814 0.00
coef_bike_ASC_walk_eatout-175. 0.00
coef_joint_auto_ASC_sr2_eatout_othmaint_social_othdiscr 0.381 0.00
coef_joint_auto_ASC_sr3p_eatout_othmaint_social_othdiscr 0.389 0.00
coef_joint_auto_ASC_walk_eatout_othmaint_social_othdiscr-4.38 0.00
coef_joint_bike_ASC_walk_eatout-15.6 0.00
coef_joint_walk_transit_ASC_sr2_eatout-14.9 0.00
coef_joint_walk_transit_ASC_sr3p_eatout-16.8 0.00
coef_joint_walk_transit_ASC_walk_eatout 1.10 0.00
coef_ride_hail_ASC_sr2_eatout_social_othdiscr-16.9 0.00
coef_ride_hail_ASC_sr3p_eatout_social_othdiscr-11.9 0.00
coef_ride_hail_ASC_taxi_eatout_social_othdiscr-2.56 0.00
coef_ride_hail_ASC_tnc_single_eatout_social_othdiscr 24.0 0.00
coef_ride_hail_ASC_walk_eatout_social_othdiscr-17.7 0.00
coef_sov_ASC_walk_eatout-2.63 0.00
coef_sr2_ASC_sr2_eatout 1.10 0.00
coef_sr2_ASC_walk_eatout-4.55 0.00
coef_sr3p_ASC_sr2_eatout-0.213 0.00
coef_sr3p_ASC_sr3p_eatout 1.47 0.00
coef_sr3p_ASC_walk_eatout-2.51 0.00
coef_walk_transit_ASC_rh_eatout_social_othdiscr-2.66 0.00
coef_walk_transit_ASC_sr2_eatout-2.01 0.00
coef_walk_transit_ASC_sr3p_eatout-2.52 0.00
coef_walk_transit_ASC_walk_eatout 0.166 0.00
coef_bike_ASC_walk_othmaint-0.784 0.00
coef_ivt_othmaint_social-0.0121 0.00
coef_joint_bike_ASC_walk_othmaint-13.5 0.00
coef_joint_walk_transit_ASC_sr2_othmaint-11.3 0.00
coef_joint_walk_transit_ASC_sr3p_othmaint-44.0 0.00
coef_joint_walk_transit_ASC_walk_othmaint-73.6 0.00
coef_sov_ASC_walk_othmaint-4.43 0.00
coef_sr2_ASC_sr2_othmaint 0.935 0.00
coef_sr2_ASC_walk_othmaint-3.14 0.00
coef_sr3p_ASC_sr2_othmaint 0.0421 0.00
coef_sr3p_ASC_sr3p_othmaint 1.13 0.00
coef_sr3p_ASC_walk_othmaint-5.07 0.00
coef_walk_transit_ASC_sr2_othmaint-34.7 0.00
coef_walk_transit_ASC_sr3p_othmaint-29.4 0.00
coef_walk_transit_ASC_walk_othmaint-0.288 0.00
coef_bike_ASC_walk_social-13.2 0.00
coef_joint_bike_ASC_walk_social-26.2 0.00
coef_joint_walk_transit_ASC_sr2_social-20.5 0.00
coef_joint_walk_transit_ASC_sr3p_social-34.7 0.00
coef_joint_walk_transit_ASC_walk_social-2.39 0.00
coef_sov_ASC_walk_social-25.3 0.00
coef_sr2_ASC_sr2_social 0.768 0.00
coef_sr2_ASC_walk_social-2.85 0.00
coef_sr3p_ASC_sr2_social-0.122 0.00
coef_sr3p_ASC_sr3p_social 1.21 0.00
coef_sr3p_ASC_walk_social-3.08 0.00
coef_walk_transit_ASC_sr2_social-2.06 0.00
coef_walk_transit_ASC_sr3p_social-21.6 0.00
coef_walk_transit_ASC_walk_social-2.31 0.00
coef_bike_ASC_walk_othdiscr-1.40 0.00
coef_joint_bike_ASC_walk_othdiscr-14.4 0.00
coef_joint_walk_transit_ASC_sr2_othdiscr-15.0 0.00
coef_joint_walk_transit_ASC_sr3p_othdiscr-16.7 0.00
coef_joint_walk_transit_ASC_walk_othdiscr-25.9 0.00
coef_sov_ASC_walk_othdiscr-4.94 0.00
coef_sr2_ASC_sr2_othdiscr 0.856 0.00
coef_sr2_ASC_walk_othdiscr-2.47 0.00
coef_sr3p_ASC_sr2_othdiscr-0.418 0.00
coef_sr3p_ASC_sr3p_othdiscr 0.845 0.00
coef_sr3p_ASC_walk_othdiscr-5.84 0.00
coef_walk_transit_ASC_sr2_othdiscr-1.23 0.00
coef_walk_transit_ASC_sr3p_othdiscr-1.20 0.00
coef_walk_transit_ASC_walk_othdiscr-0.980 0.00
" + "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 9, @@ -5168,7 +5189,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -5189,7 +5210,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -5211,7 +5232,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -5280,7 +5301,7 @@ " \n", " 309\n", " coef_walk_transit_ASC_walk_eatout\n", - " 0.166429\n", + " 1.418767\n", " F\n", " \n", " \n", @@ -5320,7 +5341,7 @@ "3 coef_nest_AUTO_DRIVEALONE 0.350000 T\n", "4 coef_nest_AUTO_SHAREDRIDE2 0.350000 T\n", ".. ... ... ...\n", - "309 coef_walk_transit_ASC_walk_eatout 0.166429 F\n", + "309 coef_walk_transit_ASC_walk_eatout 1.418767 F\n", "310 walk_express_penalty 10.000000 T\n", "311 adjust_tnc_shared 30.000000 T\n", "312 coef_origin_density_applied_work_univ_school 0.000000 T\n", @@ -5329,7 +5350,7 @@ "[314 rows x 3 columns]" ] }, - "execution_count": 19, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -5346,7 +5367,7 @@ "toc_visible": true }, "kernelspec": { - "display_name": "Python 3", + "display_name": "ESTER", "language": "python", "name": "python3" }, @@ -5360,7 +5381,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.6" + "version": "3.10.15" }, "toc": { "base_numbering": 1, diff --git a/activitysim/examples/example_estimation/notebooks/est_mode_setup.py b/activitysim/examples/example_estimation/notebooks/est_mode_setup.py new file mode 100644 index 000000000..af0546cbe --- /dev/null +++ b/activitysim/examples/example_estimation/notebooks/est_mode_setup.py @@ -0,0 +1,83 @@ +from __future__ import annotations + +import argparse +import os +import shutil +import sys +import warnings +from pathlib import Path + +# suppress RuntimeWarning from xarray +warnings.filterwarnings( + "ignore", + category=RuntimeWarning, + module="xarray", +) + + +def prepare( + household_sample_size: int = 20_000, subdir: str = "test-estimation-data" +) -> Path: + """Prepare the example for estimation. + + This function prepares the example for estimation by downloading the example data and + setting up the working directory. The current working directory is then set to the + created example directory. + + Parameters + ---------- + household_sample_size : int, optional + The number of households to sample from the synthetic population. The default is 20_000. + subdir : str, optional + The subdirectory to store the example data. The default is "test-estimation-data". + + Returns + ------- + Path + The path to the created example directory. + """ + root_dir = Path(__file__).parent.parent.resolve() + sys.path.insert(0, str(root_dir)) + + try: + from build_full_mtc_example import as_needed + except ImportError: + print( + "Please run this script from the " + "activitysim/examples/example_estimation/notebooks directory." + ) + raise + + as_needed(root_dir / "notebooks" / subdir, household_sample_size) + relative_path = os.path.relpath( + root_dir / "notebooks" / subdir / "activitysim-prototype-mtc-extended" + ) + os.chdir(relative_path) + return Path(relative_path) + + +def backup(filename: str | os.PathLike): + """Create or restore from a backup copy of a file.""" + backup_filename = f"{filename}.bak" + if Path(backup_filename).exists(): + shutil.copy(backup_filename, filename) + else: + shutil.copy(filename, backup_filename) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Prepare the example for estimation.") + parser.add_argument( + "--household_sample_size", + type=int, + default=20_000, + help="The number of households to sample from the synthetic population.", + ) + parser.add_argument( + "--subdir", + type=str, + default="test-estimation-data", + help="The subdirectory to store the example data.", + ) + args = parser.parse_args() + prepare(args.household_sample_size, args.subdir) diff --git a/activitysim/examples/example_estimation/scripts/infer.py b/activitysim/examples/example_estimation/scripts/infer.py index 02fbd97d8..94869cffb 100644 --- a/activitysim/examples/example_estimation/scripts/infer.py +++ b/activitysim/examples/example_estimation/scripts/infer.py @@ -1,6 +1,8 @@ # ActivitySim # See full license in LICENSE.txt. +from __future__ import annotations + import logging import os import sys @@ -165,7 +167,8 @@ def read_alts(): alts = read_alts() tour_types = list(alts.columns.values) - tour_types.remove("tot_tours") + if "tot_tours" in tour_types: + tour_types.remove("tot_tours") # tour_frequency is index in alts table alts["alt_id"] = alts.index diff --git a/activitysim/examples/placeholder_psrc/configs/tour_scheduling_school.csv b/activitysim/examples/placeholder_psrc/configs/tour_scheduling_school.csv index 8cc5fb59e..039fa9e66 100755 --- a/activitysim/examples/placeholder_psrc/configs/tour_scheduling_school.csv +++ b/activitysim/examples/placeholder_psrc/configs/tour_scheduling_school.csv @@ -33,7 +33,7 @@ util_adjacent_window_exists_before_this_departure_hour_second_plus_tour_interact util_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction,Adjacent window exists after this arrival hour - second+ tour interaction,"@(df.tour_num > 1) * _adjacent_window_after",coef_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction util_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours,Remaining work/school tours to be scheduled / number of unscheduled hours,"@((df.tour_count>1) & (df.tour_num == 1)) * 1.0 / tt.remaining_periods_available(df.person_id, df.start, df.end)",coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours util_departure_constants_early_up_to_5,Departure Constants -- Early (up to 5),start < 6,coef_departure_constants_early -util_departure_constants_am_peak_1 _6,Departure Constants -- AM peak 1 (6),start == 6,coef_departure_constants_am_peak_1 +util_departure_constants_am_peak_1_6,Departure Constants -- AM peak 1 (6),start == 6,coef_departure_constants_am_peak_1 util_departure_constants_am_peak_2_7,Departure Constants -- AM peak 2 (7),start == 7,coef_departure_constants_am_peak_2 util_departure_constants_am_peak_3_8,Departure Constants -- AM peak 3 (8),start == 8,coef_departure_constants_am_peak_3 util_departure_constants_am_peak_4_9,Departure Constants -- AM peak 4 (9),start == 9,coef_departure_constants_am_peak_4 diff --git a/activitysim/examples/prototype_mtc/configs/tour_scheduling_school.csv b/activitysim/examples/prototype_mtc/configs/tour_scheduling_school.csv index 6c735c423..779109503 100644 --- a/activitysim/examples/prototype_mtc/configs/tour_scheduling_school.csv +++ b/activitysim/examples/prototype_mtc/configs/tour_scheduling_school.csv @@ -32,7 +32,7 @@ util_adjacent_window_exists_after_this_arrival_hour_second_plus_tour_interaction util_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours,Remaining work/school tours to be scheduled / number of unscheduled hours,"@((df.tour_count>1) & (df.tour_num == 1)) * 1.0 / tt.remaining_periods_available(df.person_id, df.start, df.end)",coef_remaining_work_school_tours_to_be_scheduled_div_number_of_unscheduled_hours #,,, util_departure_constants_early_up_to_5,Departure Constants -- Early (up to 5),start < 6,coef_departure_constants_early -util_departure_constants_am_peak_1 _6,Departure Constants -- AM peak 1 (6),start == 6,coef_departure_constants_am_peak_1 +util_departure_constants_am_peak_1_6,Departure Constants -- AM peak 1 (6),start == 6,coef_departure_constants_am_peak_1 util_departure_constants_am_peak_2_7,Departure Constants -- AM peak 2 (7),start == 7,coef_departure_constants_am_peak_2 util_departure_constants_am_peak_3_8,Departure Constants -- AM peak 3 (8),start == 8,coef_departure_constants_am_peak_3 util_departure_constants_am_peak_4_9,Departure Constants -- AM peak 4 (9),start == 9,coef_departure_constants_am_peak_4 diff --git a/activitysim/examples/prototype_sandag_xborder/configs/estimation.yaml b/activitysim/examples/prototype_sandag_xborder/configs/estimation.yaml index bbe11f7fc..d3844fc4f 100644 --- a/activitysim/examples/prototype_sandag_xborder/configs/estimation.yaml +++ b/activitysim/examples/prototype_sandag_xborder/configs/estimation.yaml @@ -40,7 +40,7 @@ estimation_table_recipes: alternatives_combined: - interaction_sample_alternatives - interaction_expression_values - omnibus_tables_append_columns: [choosers_combined] + omnibus_tables_append_columns: [choosers_combined, alternatives_combined] interaction_simulate: omnibus_tables: @@ -77,7 +77,7 @@ estimation_table_recipes: omnibus_tables_append_columns: [values_combined] -model_estimation_table_types: +estimation_table_types: tour_scheduling_probabilistic: simple_probabilistic tour_od_choice: interaction_sample_simulate school_location: interaction_sample_simulate diff --git a/conda-environments/activitysim-dev-base.yml b/conda-environments/activitysim-dev-base.yml index f7aa5c735..18c02afaa 100644 --- a/conda-environments/activitysim-dev-base.yml +++ b/conda-environments/activitysim-dev-base.yml @@ -31,7 +31,7 @@ dependencies: - ipykernel # so this env will appear in jupyter as a selection - isort - jupyterlab -- larch = 5.7.* +- larch6 >= 6.0.34 - matplotlib - myst-parser # allows markdown in sphinx - nbconvert diff --git a/conda-environments/activitysim-dev.yml b/conda-environments/activitysim-dev.yml index 107b4b355..35cda2bce 100644 --- a/conda-environments/activitysim-dev.yml +++ b/conda-environments/activitysim-dev.yml @@ -27,7 +27,6 @@ dependencies: - ipykernel # so this env will appear in jupyter as a selection - isort - jupyterlab -- larch = 5.7.* - matplotlib - myst-parser # allows markdown in sphinx - nbconvert @@ -75,4 +74,5 @@ dependencies: - pip: - autodoc_pydantic + - larch6 >= 6.0.34 - -e .. diff --git a/conda-environments/docbuild.yml b/conda-environments/docbuild.yml index 2553fbb17..30385c971 100644 --- a/conda-environments/docbuild.yml +++ b/conda-environments/docbuild.yml @@ -23,7 +23,6 @@ dependencies: - git - jupyter-book - jupyterlab -- larch >=5.5.3 - matplotlib - myst-nb - myst-parser @@ -59,4 +58,5 @@ dependencies: - pip: - autodoc_pydantic + - larch6 >= 6.0.34 - -e .. diff --git a/conda-environments/github-actions-tests.yml b/conda-environments/github-actions-tests.yml index 692ee1192..d38d75650 100644 --- a/conda-environments/github-actions-tests.yml +++ b/conda-environments/github-actions-tests.yml @@ -12,6 +12,7 @@ dependencies: - cytoolz = 0.12.2 - dask = 2023.3.2 - isort = 5.12.0 +- matplotlib = 3.9.* - nbmake = 1.4.6 - numba = 0.57.* - numpy = 1.23.5 @@ -36,5 +37,6 @@ dependencies: - simwrapper > 1.7 - sparse - xarray = 2023.2.* +- xlsxwriter = 3.2.* - zarr = 2.14.* - zstandard diff --git a/pyproject.toml b/pyproject.toml index b92b00856..1cb6915f1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,7 +75,6 @@ log_cli = true tb = "native" [tool.ruff] -select = ["E", "F", "B", "UP", "TID"] line-length = 140 exclude = [ ".git", @@ -87,12 +86,15 @@ exclude = [ "sandbox/" ] -[tool.ruff.isort] +[tool.ruff.lint] +select = ["E", "F", "B", "UP", "TID"] + +[tool.ruff.lint.isort] known-first-party = ["activitysim"] required-imports = ["from __future__ import annotations"] -[tool.ruff.pydocstyle] +[tool.ruff.lint.pydocstyle] convention = "numpy" -[tool.ruff.per-file-ignores] +[tool.ruff.lint.per-file-ignores] "__init__.py" = ["E402", "F401"] # Ignore import violations in all `__init__.py` files