version 0.14.2

What's Changed

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

Full Changelog: v0.14.1...v0.14.2

version 0.14.1

What's Changed

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

Full Changelog: v0.14.0...v0.14.1

version 0.14.0

What's Changed

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

New Contributors

• @maiani made their first contribution in #351
• @juandaanieel made their first contribution in #353
• @eendebakpt made their first contribution in #354

Full Changelog: v0.13.2...v0.14.0

version 0.13.2

What's Changed

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

Full Changelog: v0.13.1...v0.13.2

version 0.13.1

What's Changed

• take out a cut from the 3D sphere, LearnerND example by @basnijholt in #327
• Documentation conda environment update to latest versions by @basnijholt in #328
• Splits up documentations page into "algo+examples" and rest by @basnijholt in #330
• Add an animated logo that shows the working of Adaptive by @basnijholt in #329
• fix 'asyncio.Task.current_task' -> 'asyncio.current_task' by @basnijholt in #331
• Learner1D: return inf loss when the bounds aren't done by @basnijholt in #271
• use jupyter-sphinx instead of custom Sphinx directive by @basnijholt in #332
• pin scikit-learn to 0.24.2, because of scikit-optimize/scikit-optimize#1059 by @basnijholt in #333
• rename usage_examples -> gallery by @basnijholt in #334
• add a code example to the examples page by @basnijholt in #335
• fix tutorial about using loky.get_reusable_executor on Windows by @basnijholt in #336
• Fix NaN issue for Learner1D R -> R^n by @Davide-sd in #340

New Contributors

• @Davide-sd made their first contribution in #340

Full Changelog: v0.13.0...v0.13.1

version 0.13.0

v0.13.0 (2021-09-10)

Full Changelog

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)
• lazily evaluate the integrator coefficients #311 (basnijholt)
• AverageLearner1D added #283 (AlvaroGI)
• Make LearnerND pickleable #272 (basnijholt)
• add a FAQ #242 (basnijholt)

version 0.12.2

v0.12.2 (2021-03-23)

Full Changelog

Merged pull requests:

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

version 0.12.1

v0.12.1 (2021-03-23)

Full Changelog

Merged pull requests:

• write import differently for pypy #313 (basnijholt)

version 0.12.0

v0.12.0 (2021-03-23)

Full Changelog

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)

version 0.11.3

Full Changelog

Fixed bugs:

• can't pickle lru_cache function with loky #292

Closed issues:

• ProcessPoolExecutor behaviour on MacOS in interactive environment changed between Python versions #301
• 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)