🗞️ Changelog

v1.3.0 (2024-04-10)

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Merged pull requests:

Replace deprecated numpy aliases #458 (eendebakpt)
Remove SKOptLearner because scikit-optimize is unmaintained #404 (basnijholt)

v1.2.0 (2024-04-10)

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Closed issues:

Issues with Multiprocess and AsyncRunner in adaptive for Phase Diagram Illustration #449
Create API for just signle process (No pickle) #442
Handling with regions unreachable inside the ConvexHull in LearnerND #438
Use in script with BlockingRunner: get log and/or feedback on progress #436

Merged pull requests:

Update CHANGELOG.md for v1.2.0 #454 (basnijholt)
Test Python 3.12 and fix its installation #453 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #447 (pre-commit-ci[bot])
Use ruff-format instead of black #446 (basnijholt)
Bump versions to compatible packages in docs/environment.yml #445 (basnijholt)
Add AsyncRunner.block\_until\_done #444 (basnijholt)
Add live\_info\_terminal, closes #436 #441 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #434 (pre-commit-ci[bot])
Add benchmarks page for Learner1D and Learner2D functions #405 (basnijholt)

v1.1.0 (2023-08-14)

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Closed issues:

large delay when using start_periodic_saving #439
Target function returns NaN #435

Merged pull requests:

Ensure periodic saving fires immediately after runner task is finished #440 (jbweston)
Add Learner2D loss function 'thresholded_loss_factory' #437 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #433 (pre-commit-ci[bot])
[pre-commit.ci] pre-commit autoupdate #431 (pre-commit-ci[bot])
Add adaptive.utils.daskify #422 (basnijholt)

v1.0.0 (2023-05-15)

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Closed issues:

No module named 'typing_extensions'" #394
Documentation: use cases of coroutine by Learner and Runner not properly explained #360

Merged pull requests:

Update CHANGELOG for v1.0.0 #429 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #426 (pre-commit-ci[bot])
Allow storing the full sequence in SequenceLearner.to_dataframe #425 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #423 (pre-commit-ci[bot])
Add github-changelog-generator CI workflow #421 (basnijholt)
Use versioningit to work with pyproject.toml and remove setup.py #420 (basnijholt)
Update Python version requirement to 3.9 in accordance with NEP 29 #418 (basnijholt)
Update GitHub Actions CI #416 (basnijholt)
Disable typeguard CI pipeline #415 (basnijholt)
Add mypy to pre-commit and fix all current typing issues #414 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #413 (pre-commit-ci[bot])
Use codecov/codecov-action instead of removed codecov package #412 (basnijholt)
Cache the loss of a SequenceLearner #411 (basnijholt)
Only really import packages when needed #410 (basnijholt)
Remove _RequireAttrsABCMeta metaclass and replace with simple check #409 (basnijholt)
Use the build module #407 (basnijholt)
Avoid asyncio.coroutine error in Readthedocs.org builds #406 (basnijholt)
Bump scikit-optimize in environment.yml #403 (basnijholt)
Replace isort, flake8, and pyupgrade by ruff #402 (basnijholt)
Move to pyproject.toml based install #401 (basnijholt)
Rewrite parts of README, reorder sections, and add features section #400 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #398 (pre-commit-ci[bot])
[pre-commit.ci] pre-commit autoupdate #397 (pre-commit-ci[bot])
Use nb_execution_raise_on_error Sphinx myst-nb option #396 (basnijholt)
[pre-commit.ci] pre-commit autoupdate #395 (pre-commit-ci[bot])
[pre-commit.ci] pre-commit autoupdate #393 (pre-commit-ci[bot])
[pre-commit.ci] pre-commit autoupdate #392 (pre-commit-ci[bot])
Add nbQA for notebook and docs linting #361 (basnijholt)
Fix HoloViews opts deprecation warnings #357 (basnijholt)

v0.15.1 (2022-12-02)

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v0.15.0 (2022-12-02)

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Closed issues:

Fix branch name (master --> main) in binder link in readme #383

Merged pull requests:

Rename master -> main #384 (basnijholt)
Add loss_goal, npoints_goal, and an auto_goal function and use it in the runners #382 (basnijholt)
Add docs section about executing coroutines #364 (juandaanieel)

v0.14.2 (2022-10-14)

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Closed issues:

Rename master branch to main #368

Merged pull requests:

Avoid uncecessary iteration in SequenceLearner #380 (jbweston)
Use numbers module from stdlib as type #379 (basnijholt)
Add type-hints to tests and misc #378 (basnijholt)
Add type-hints to Learner2D #375 (basnijholt)
Add type-hints to DataSaver #373 (basnijholt)
Type hint IntegratorLearner #372 (basnijholt)
Add type-hints to BalancingLearner #371 (basnijholt)
Optionally run tests with pandas #369 (basnijholt)
Typehint SequenceLearner #366 (basnijholt)

v0.14.1 (2022-10-11)

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Merged pull requests:

Use typing.TypeAlias #367 (basnijholt)
Add Learner.new() method that returns an empty copy of the learner #365 (basnijholt)

v0.14.0 (2022-10-05)

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Closed issues:

Stop using atomic writes #352

Merged pull requests:

Release 0.14 #363 (basnijholt)
Allow to periodically save with any function #362 (basnijholt)
Update pre-commit versions #359 (basnijholt)
Add getting learner's data as pandas.DataFrame; add learner.to_dataframe method #358 (basnijholt)
Add transparent logo in WebM format (for dark mode) #356 (basnijholt)
Docs in Markdown with Myst and change tutorials to Jupytext notebooks #355 (basnijholt)
Remove scipy deprecation warnings #354 (eendebakpt)
Replacing atomicwrites with os.write #353 (juandaanieel)
Fix class name issue with modern versions of dask.distributed #351 (maiani)

v0.13.2 (2022-05-31)

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Closed issues:

Incompatibility of adaptive (asyncio) with python=3.10 #344
Question: plot_trisurf (matplotlib) directly from qhull #343
Allow to choose colormap in learner2D.plot() #342
Warning when importing adaptive #321

Merged pull requests:

Run seperate typeguard job (because it is much slower) #350 (basnijholt)
Skip ipyparallel test on MacOS #349 (basnijholt)
set loop to None in Python 3.10 #348 (basnijholt)
Switch from Tox to Nox #347 (basnijholt)
use 'from __future__ import annotations' #346 (basnijholt)
Update pre-commit filters versions #345 (basnijholt)

v0.13.1 (2021-12-13)

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Implemented enhancements:

Splits up documentations page into "algo+examples" and rest #330 (basnijholt)

Fixed bugs:

fix 'asyncio.Task.current_task' -> 'asyncio.current_task' #331 (basnijholt)

Closed issues:

Learner1D R -> R^n - Infinite loop #339
Wrong sign for right boundary with Sympy #338

Merged pull requests:

Fix NaN issue for Learner1D R -> R^n #340 (Davide-sd)
fix tutorial about using loky.get_reusable_executor on Windows #336 (basnijholt)
add a code example to the examples page #335 (basnijholt)
rename usage_examples -> gallery #334 (basnijholt)
pin scikit-learn to 0.24.2, because of scikit-optimize/scikit-optimize#1059 #333 (basnijholt)
use jupyter-sphinx instead of custom Sphinx directive #332 (basnijholt)
Add an animated logo that shows the working of Adaptive #329 (basnijholt)
Documentation conda environment update to latest versions #328 (basnijholt)
take out a cut from the 3D sphere, LearnerND example #327 (basnijholt)
Learner1D: return inf loss when the bounds aren't done #271 (basnijholt)

v0.13.0 (2021-09-10)

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Fixed bugs:

AverageLearner doesn't work with 0 mean #275
call self._process_futures on canceled futures when BlockingRunner is done #320 (basnijholt)
AverageLearner: fix zero mean #276 (basnijholt)

Closed issues:

Runners should tell learner about remaining points at end of run #319
Cryptic error when importing lmfit #314
change CHANGELOG to KeepAChangelog format #306
jupyter notebook kernels dead after running "import adaptive" #298
Emphasis on when to use adaptive in docs #297
GPU acceleration #296

Merged pull requests:

Learner1D type hints and add typeguard to pytest tests #325 (basnijholt)
AverageLearner type hints #324 (basnijholt)
Update doc string for resolution_loss_function #323 (SultanOrazbayev)
Update Readme to emphasise when adaptive should be used #318 (thomasaarholt)
add to_numpy methods #317 (basnijholt)
AverageLearner1D added #283 (AlvaroGI)
Make LearnerND pickleable #272 (basnijholt)
add a FAQ #242 (basnijholt)

v0.12.2 (2021-03-23)

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Merged pull requests:

raise an AttributeError when attribute doesn't exists, closes #314 #315 (basnijholt)

v0.12.1 (2021-03-23)

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Merged pull requests:

write import differently for pypy #313 (basnijholt)

v0.12.0 (2021-03-23)

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Merged pull requests:

bump to Python≥3.7 #312 (basnijholt)
lazily evaluate the integrator coefficients #311 (basnijholt)
add resolution_loss_function for Learner1D #310 (basnijholt)
add "(Code) style fix or documentation update" to .github/pull_request_template.md #309 (basnijholt)
remove the requirements from the tutorial landing page #308 (basnijholt)
add change log to the docs #307 (basnijholt)
remove automerge action #305 (basnijholt)

v0.11.3 (2021-03-07)

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Fixed bugs:

ProcessPoolExecutor behaviour on MacOS in interactive environment changed between Python versions #301
can't pickle lru_cache function with loky #292

Closed issues:

Runner fails in the notebook #299

Merged pull requests:

add pythonpublish.yml #304 (basnijholt)
fix docs build #303 (basnijholt)
test tox with py39 on Github Actions CI #302 (basnijholt)
make loky a default on Windows and MacOS but not on Linux #300 (basnijholt)
add learner1D.abs_min_log_loss #294 (basnijholt)
bump pre-commit filter dependencies #293 (basnijholt)
fix docs #291 (basnijholt)
update to miniver 0.7.0 #290 (basnijholt)
add runner.live\_plot\(\) in README example #288 (basnijholt)
Update pre commit #287 (basnijholt)
Use m2r2 #286 (basnijholt)
temporarily pin scikit-learn<=0.23.1 #285 (basnijholt)
add .zenodo.json #284 (basnijholt)
always serialize the function using cloudpickle #281 (basnijholt)
add a changelog #232 (jbweston)

v0.11.2 (2020-08-07)

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v0.11.1 (2020-08-07)

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Closed issues:

Release v0.11 #277

v0.12.0-dev (2020-05-20)

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v0.11.0 (2020-05-20)

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Implemented enhancements:

Make Runner work with unhashable points #267
AverageLearner: implement min_npoints #274 (basnijholt)
make the Runner work with unhashable points #268 (basnijholt)
make learners picklable #264 (basnijholt)
add support for loky #263 (basnijholt)
use __name__ == "__main__" for the MPIPoolExecutor #260 (basnijholt)

Fixed bugs:

ipyparallel fails in Python 3.8 #249
Error on windows: daemonic processes are not allowed to have children #225
prevent ImportError due to scikit-optimize and sklearn incompatibility #278 (basnijholt)

Closed issues:

add minimum number of points parameter to AverageLearner #273
Release v0.10 #258

Merged pull requests:

minimally require ipyparallel 6.2.5 #270 (basnijholt)
fix docs build and pin pyviz_comms=0.7.2 #261 (basnijholt)

v0.11.0-dev (2020-01-16)

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v0.10.0 (2020-01-15)

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Implemented enhancements:

use tox for testing #238
Time-based stop #184
add a FAQ #158

Fixed bugs:

live_info looks is badly formatted in Jupyterlab #250
SKOptLearner doesn't work for multi variate domain #233
Does not work with lambda functions #206

Merged pull requests:

add instructions for installing labextensions for Jupyterlab #257 (basnijholt)
MNT: add vscode config directory to .gitignore #255 (tacaswell)
disable test of runner using distributed #253 (basnijholt)
color the overhead between red and green #252 (basnijholt)
improve the style of the live_info widget, closes #250 #251 (basnijholt)
use tox, closes #238 #247 (basnijholt)
add a Pull Request template #246 (basnijholt)
rename learner.ipynb -> example-notebook.ipynb #241 (basnijholt)
correct short description in setup.py #239 (jbweston)
Power up pre-commit #237 (basnijholt)
add a section of "How to cite" Adaptive #235 (basnijholt)
Fix SKOptLearner for multi variate domain (issue #233) #234 (caenrigen)
add a time-base stopping criterion for runners #229 (jbweston)
update packages in tutorial's landing page #224 (basnijholt)
add _RequireAttrsABCMeta and make the BaseLearner use it #222 (basnijholt)
2D: add triangle_loss #221 (basnijholt)
2D: add interpolated_on_grid method #216 (basnijholt)
WIP: raise an error when using a lambda and default executor #210 (basnijholt)

v0.10.0-dev (2019-10-07)

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Closed issues:

Command-line tool #217
release v0.9.0 #212

v0.9.0 (2019-09-23)

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Implemented enhancements:

jupyter-sphinx update #203

Closed issues:

jupyter-sphinx is pinned to non-existing branch #199

Merged pull requests:

pass value_scale to the LearnerND's loss_per_simplex function #219 (basnijholt)
add scatter_or_line argument to Learner1D.plot #215 (basnijholt)
remove MPI4PY_MAX_WORKERS where it's not used #209 (basnijholt)
use jupyter_sphinx v0.2.0 from conda instead of my branch #204 (basnijholt)
Authors #202 (basnijholt)
Update tutorial.parallelism.rst #201 (aeantipov)
ensure atomic writes when saving a file #200 (basnijholt)
don't treat the no data case differently in the Learner1D #195 (basnijholt)
pin everything in the docs/environment.yml file #194 (basnijholt)
Add a SequenceLearner #193 (basnijholt)
Use black for code formatting #191 (basnijholt)
BalancingLearner: add a "cycle" strategy, sampling the learners one by one #188 (basnijholt)

v0.8.1 (2019-05-07)

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Closed issues:

release v0.8.0 #165

v0.9.0-dev (2019-05-07)

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v0.8.0 (2019-05-07)

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Implemented enhancements:

set python_requires in setup.py #179

Fixed bugs:

Learner2D.plot() returns NaN #181
Runner errors for Python 3.7 when done #156
2D: do not return points outside the bounds, closes #181 #182 (basnijholt)

Closed issues:

default loss of LearnerND changed? #171
Add a page to the documentation of papers where adaptive is used #163

Merged pull requests:

add support for mpi4py #190 (basnijholt)
use pytest rather than py.test #189 (basnijholt)
renormalize the plots value axis on every update #186 (basnijholt)
use setup(..., python_requires='>=3.6'), closes #179 #180 (basnijholt)
use the repo code in docs execute #177 (basnijholt)
do not inline the HoloViews JS #176 (basnijholt)
add a gallery page of Adaptive uses in scientific works #174 (basnijholt)
LearnerND: change the required loss to 1e-3 because the loss definition changed #172 (basnijholt)
Add logo to the documentation #170 (basnijholt)
import Iterable and Sized from collections.abc #161 (basnijholt)
invoke conda directly in CI #153 (basnijholt)
change urls from GitLab to GitHub #146 (basnijholt)

v0.7.6 (2019-03-21)

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Fixed bugs:

live_plot broken with latest holoviews and bokeh #166

Merged pull requests:

do not force shutdown the executor in the cleanup #164 (basnijholt)

v0.7.5 (2019-03-19)

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Fixed bugs:

BalancingLearner puts all points in the first child-learner when asking for points with no data present #159

Merged pull requests:

fix live_plot #167 (basnijholt)

v0.7.4 (2019-02-15)

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Fixed bugs:

Loading data file with no data results in an error for the BalancingLearner #148
Returning np.nan breaks the 1D learner #145
fix bug in curvature_loss #152 (basnijholt)

Merged pull requests:

handle NaN losses and add a test, closes #145 #151 (basnijholt)
handle empty data files when loading, closes #148 #149 (basnijholt)

v0.7.3 (2019-01-29)

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Implemented enhancements:

Add a sequential executor #138
Add tests for 1D interpolator learner #136
Add integration learner #135
Make the runner work with asyncio and inside Jupyter notebooks #133
Add module for notebook integration and shortcuts for common executors #132
Add homogeneous sampling learner #131
Add a "balancing" learner #130
Implement 2D and 3D learners #129
Add a 0D averaging learner #128
Write interpolate for the 1D learner such that it is more efficient #126
Gracefully handle exceptions when evaluating the function to be learned #125
Allow BalancingLearner to return arbitrary number of points from 'choose_points' #124
Increase the default refresh rate for 'live_plot' #120
remove default number of points to choose in choose\_points #118
Consider using Gaussian process optimization as a learner #115
Make distributed.Client work with automatic scaling of the cluster #104
Improve plotting for learners #83
(refactor) learner.tell(x, None) might be renamed to learner.tell_pending(x) #73
(feature) make interactive plots for learnerND plot_slice method #64
(LearnerND) make default loss function better #63
allow for N-d output #60
add cross-section plot #58
(BalancingLearner) make new balancinglearner that looks at the total loss rather than loss improvement #36
(LearnerND) allow any convex hull as domain #25
(Learner1D) add possibility to use the direct neighbors in the loss #20

Fixed bugs:

Distinguish actual loss and estimated loss #139
Set the bounds in a smarter way #127
some points get cluttered #86
2D learner specifies a 1D point causing 2D learner to fail #81
Method 'Learner.tell' is ambiguous #80
Learner1D fails with extremely narrow features #78
AverageLearner math domain error #77
(LearnerND) scale y-values #61
Learner1D breaks if right bound is added before the left bound #45
Learner1D's bound check algo in self.ask doesn't take self.data or self.pending_points #44
Learner1D fails when function returns a list instead of a numpy.array #43
Learner1D fails when a point (x, None) is added when x already exists #42
Learner1D.ask breaks when adding points in some order #41
Learner1D doesn't correctly set the interpolated loss when a point is added #40
Learner1D could in some situations return -inf as loss improvement, which would make balancinglearner never choose to improve #35
LearnerND fails for BalancingLearner test #34
Learner2D suggests same point twice #30
(LearnerND) if you stop the runner, and then try to continue, it fails. #23

Closed issues:

Add Authors file and review license #137
make the runner request points until it's using all cores #123
Remove _choose_points #121
Fix extremely long kernel restart times #119
live plotting: add a universal visual cue that the goal is achieved. #117
ipyparallel shouldn't be a dependency #114
adaptive fails to discover features #113
add tests for 2D learner #111
DataSaver doesn't work with the BalancingLearner #110
deleted issue #108
removing optional dependencies #106
Improve ipython event loop integration #105
Use holoviews.TriMesh when it makes it to a release #103
save live plots into internal datastructure #101
To-dos before making the repo public #100
set the correct loss_improvement for the AverageLearner #95
Ensure a minimum resolution #92
change the error message in runner #91
The ProcessPoolExecutor doesn't work on Windows #90
1D and 2D learner: stop interpolating function instead of the loss #87
Discontinuities in zero should be detected and be approximated with some margin #85
(minor bug) learner.choose_points gives wrong number of points in one very particular case #84
2D: if boundary point fails it will never be re-evaluated ... #82
Learner2D + BalancingLearner too slow to use on many cores #79
BalancingLearner.from_product doesn't work with the DataSaver #74
Follow-up from "WIP: Add LearnerND that does not interpolate the values of pending points" #70
(triangulation) make method for finding initial simplex part of the triangulation class #68
(refactor) LearnerND._ask can be refactored to be so much more readable #67
(LearnerND) make choose point in simplex better #62
Make learnerND datastructures immutable where possible #54
Rename LearnerND to TriangulatingLearner #51
tell_many method #49
Set up documentation #48
DeprecationWarning: sorted_dict.iloc is deprecated. Use SortedDict.keys() instead. #47
The example given in data_saver.py doesn't compile. #46
What should learners do when fed the same point twice #39
How should learners handle data that is outside of the domain #38
No tests for the 'BalancingLearner' #37
release 0.6.0 #33
Make BaseRunner an abstract base class #32
(BalancingLearner) loss is cached incorrectly #31
LearnerND triangulation incomplete #29
(LearnerND) flat simplices are sometimes added on the surface of the triangulation #28
(LearnerND) add iso-surface plot feature #27
make BalancingLearner work with the live_plot #26
test_balancing_learner[Learner2D-ring_of_fire-learner_kwargs2] fails sometimes #24
widgets don't show up on adaptive.readthedocs.io #21
How to handle NaN? #18
Remove public 'fname' learner attribute #17
Release v0.7.0 #14
(Learner1D) improve time complexity #13
Typo in documentation for adaptive.learner.learner2D.uniform\_loss\(ip\) #12
(LearnerND) fix plotting of scaled domains #11
suggested points lie outside of domain #7
DEVELOPMENT IS ON GITLAB: https://gitlab.kwant-project.org/qt/adaptive #5