Merge pull request #249 from SANDAG/ABM3_develop_calibrationScripts

Abm3 develop calibration scripts
SANDAG · Nov 18, 2024 · 01fa2da · 01fa2da
2 parents 3d988ab + cef0252
commit 01fa2da
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Showing 11 changed files with 4,845 additions and 6,149 deletions.
diff --git a/src/asim/calibration/resident/tour_mode_choice/coefficient_updates.csv b/src/asim/calibration/resident/tour_mode_choice/coefficient_updates.csv
diff --git a/src/asim/calibration/resident/tour_mode_choice/scaled_targets.xlsx b/src/asim/calibration/resident/tour_mode_choice/scaled_targets.xlsx
diff --git a/src/asim/calibration/resident/tour_mode_choice/scripts/asim_calib_util.py b/src/asim/calibration/resident/tour_mode_choice/scripts/asim_calib_util.py
@@ -625,7 +625,7 @@ def match_model_and_calib_targets_to_coefficients(original_tour_mc_constants_df,
                 for coef_purpose in output_calibration_purposes_to_coef_names_dict[purpose]:
                     coef_mode = output_calibration_mode_to_coef_name_dict[mode]
                     coef_name = 'coef_calib_' + output_calibration_autosuff_to_coef_names_indiv_dict[auto_suff] + '_' + coef_mode + '_' + coef_purpose
-                    target_name = mode + '_' + auto_suff + '_' + purpose ### DELETE
+                    #target_name = mode + '_' + auto_suff + '_' + purpose ### DELETE
 
                     if purpose == 'joint':
                         coef_name = 'coef_calib_' + output_calibration_autosuff_to_coef_names_joint_dict[auto_suff] + '_' + coef_mode + '_' + coef_purpose

diff --git a/src/asim/calibration/resident/tour_mode_choice/scripts/calibrate_tour_mode_choice.ipynb b/src/asim/calibration/resident/tour_mode_choice/scripts/calibrate_tour_mode_choice.ipynb
diff --git a/src/asim/calibration/resident/tour_mode_choice/scripts/settings_mp_warm_start.yaml b/src/asim/calibration/resident/tour_mode_choice/scripts/settings_mp_warm_start.yaml
@@ -3,7 +3,7 @@ inherit_settings: settings.yaml
 multiprocess: True
 households_sample_size: 320000
 num_processes: 40
-trace_hh_id: 9632
+trace_hh_id: 
 chunk_training_mode: disabled
 # chunk_size: 240_000_000_000