🗞️ Changelog

v1.0.0

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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:

• [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)

v0.15.0 (2022-11-30)

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Closed issues:

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

Merged pull requests:

• Add support for Python 3.11 and test on it #387 (basnijholt)

• Rename master -> main #384 (basnijholt)

• Add loss_goal, npoints_goal, and an auto_goal function and use it in the runners #382 (basnijholt)

• Add type-hints to Runner #370 (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 https://github.com/scikit-optimize/scikit-optimize/issues/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)

• add scatter_or_line argument to Learner1D.plot #215 (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)

• 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

Merged pull requests:

• fix _get_data for the BalancingLearner #150 (basnijholt)

v0.7.2 (2018-12-17)

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v0.7.1 (2018-12-17)

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v0.8.0-dev (2018-12-07)

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v0.7.0 (2018-12-07)

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Closed issues:

• gif in the README #1

v0.7.0-dev (2018-10-09)

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v0.6.0 (2018-10-01)

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v0.5.0 (2018-08-20)

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Closed issues:

• Issue using distributed #3

v0.4.1 (2018-05-28)

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v0.5.0-dev (2018-05-24)

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v0.4.0 (2018-05-24)

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v0.4.0-dev (2018-04-12)

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v0.3.0 (2018-03-28)

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v0.2.1 (2018-03-03)

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v0.3.0-dev (2018-02-23)

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v0.2.0 (2018-02-23)

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v0.2.0-dev (2018-02-21)

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v0.1.0 (2018-02-21)

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* This Changelog was automatically generated by github_changelog_generator