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Abdulaziz Aloqeely, abhi-jha, Acciaro Gennaro Daniele, Adam J. Stewart, Adam Li, Adeel Hassan, Adeyemi Biola, Aditi Juneja, Adrin Jalali, Aisha, Akanksha Mhadolkar, Akihiro Kuno, Alberto Torres, alexqiao, Alihan Zihna, Aniruddha Saha, antoinebaker, Antony Lee, Anurag Varma, Arif Qodari, Arthur Courselle, ArthurDbrn, Ar... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.6.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn ============ Version 0.19 ============ .. \_changes\_0\_19: Version 0.19.2 ============== \*\*July, 2018\*\* This release is exclusively in order to support Python 3.7. Related changes --------------- - ``n\_iter\_`` may vary from previous releases in :class:`l... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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be run without Nose installed. :issue:`9697` by :user:`Joan Massich `. - To improve usability of version 0.19's :class:`pipeline.Pipeline` caching, ``memory`` now allows ``joblib.Memory`` instances. This make use of the new :func:`utils.validation.check\_memory` helper. :issue:`9584` by :user:`Kumar Ashutosh ` - Some f... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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:class:`linear\_model.Ridge`. It allows the use of L1 penalty with multinomial logistic loss, and behaves marginally better than 'sag' during the first epochs of ridge and logistic regression. :issue:`8446` by `Arthur Mensch`\_. Other estimators - Added the :class:`neighbors.LocalOutlierFactor` class for anomaly detect... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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method ``predict`` is a lot faster with ``return\_std=True``. :issue:`8591` by :user:`Hadrien Bertrand `. - Added ``return\_std`` to ``predict`` method of :class:`linear\_model.ARDRegression` and :class:`linear\_model.BayesianRidge`. :issue:`7838` by :user:`Sergey Feldman `. - Memory usage enhancements: Prevent cast fr... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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:func:`model\_selection.train\_test\_split`. :issue:`8845` by :user:`themrmax ` - :class:`multioutput.MultiOutputRegressor` and :class:`multioutput.MultiOutputClassifier` now support online learning using ``partial\_fit``. :issue: `8053` by :user:`Peng Yu `. - Add ``max\_train\_size`` parameter to :class:`model\_select... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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when using ``normalize=True``. :issue:`9302` by `Alexandre Gramfort`\_. - Fix a bug where :func:`linear\_model.LassoLars.fit` sometimes left ``coef\_`` as a list, rather than an ndarray. :issue:`8160` by :user:`CJ Carey `. - Fix :func:`linear\_model.BayesianRidge.fit` to return ridge parameter ``alpha\_`` and ``lambda\... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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'l1' or 'l2' norm and with norm 'max' the norms returned will be the same as for dense matrices. :issue:`7771` by `Ang Lu `\_. - Fix a bug where :class:`feature\_selection.SelectFdr` did not exactly implement Benjamini-Hochberg procedure. It formerly may have selected fewer features than it should. :issue:`7490` by :us... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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to :func:`sklearn.datasets.fetch\_kddcup99`. :issue:`9289` by `Loic Esteve`\_. - Fix dataset loaders using Python 3 version of makedirs to also work in Python 2. :issue:`9284` by :user:`Sebastin Santy `. - Several minor issues were fixed with thanks to the alerts of `lgtm.com `\_. :issue:`9278` by :user:`Jean Helie `, ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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3d array (``n\_samples``, ``n\_classes``, ``n\_outputs``). In the case where different target columns had different numbers of classes, a ``ValueError`` would be raised on trying to stack matrices with different dimensions. This function now returns a list of arrays where the length of the list is ``n\_outputs``, and e... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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Goix, Adam Kleczewski, Sam Shleifer, Nikita Singh, Basil Beirouti, Giorgio Patrini, Manoj Kumar, Rafael Possas, James Bourbeau, James A. Bednar, Janine Harper, Jaye, Jean Helie, Jeremy Steward, Artsiom, John Wei, Jonathan LIgo, Jonathan Rahn, seanpwilliams, Arthur Mensch, Josh Levy, Julian Kuhlmann, Julien Aubert, Jörn... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.19.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn ============ Version 0.18 ============ .. warning:: Scikit-learn 0.18 is the last major release of scikit-learn to support Python 2.6. Later versions of scikit-learn will require Python 2.7 or above. .. \_changes\_0\_18\_2: Version 0.18.2 ============== \*\*Jun... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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invalid CSR matrix. :issue:`7750` by :user:`CJ Carey `. - Fixed a bug where :func:`metrics.pairwise.cosine\_distances` could return a small negative distance. :issue:`7732` by :user:`Artsion `. API changes summary ------------------- Trees and forests - The ``min\_weight\_fraction\_leaf`` parameter of tree-based classi... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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scores and Timing information ``cv\_results\_`` also includes the training scores for each cross-validation split (with keys such as ``'split0\_train\_score'``), as well as their mean (``'mean\_train\_score'``) and standard deviation (``'std\_train\_score'``). To avoid the cost of evaluating training score, set ``retur... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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a percentage of the training samples. By :user:`yelite ` and `Arnaud Joly`\_. - Gradient boosting estimators accept the parameter ``criterion`` to specify to splitting criterion used in built decision trees. :issue:`6667` by :user:`Nelson Liu `. - The memory footprint is reduced (sometimes greatly) for `ensemble.baggin... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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Guangguo ` with help from :user:`Mads Jensen ` and :user:`Nelson Liu `. - Support sparse contingency matrices in cluster evaluation (`metrics.cluster.supervised`) to scale to a large number of clusters. :issue:`7419` by :user:`Gregory Stupp ` and `Joel Nothman`\_. - Add ``sample\_weight`` parameter to :func:`metrics.ma... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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- Fixed bug in :func:`manifold.spectral\_embedding` where diagonal of unnormalized Laplacian matrix was incorrectly set to 1. :issue:`4995` by :user:`Peter Fischer `. - Fixed incorrect initialization of `utils.arpack.eigsh` on all occurrences. Affects `cluster.bicluster.SpectralBiclustering`, :class:`decomposition.Kern... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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:user:`Wei Xue ` and :user:`Thierry Guillemot `. - The old `mixture.GMM` is deprecated in favor of the new :class:`mixture.GaussianMixture`. The new class computes the Gaussian mixture faster than before and some of computational problems have been solved. :issue:`6666` by :user:`Wei Xue ` and :user:`Thierry Guillemot ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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ariga, Mikhail Korobov, Moussa Taifi, mrandrewandrade, Mridul Seth, nadya-p, Naoya Kanai, Nate George, Nelle Varoquaux, Nelson Liu, Nick James, NickleDave, Nico, Nicolas Goix, Nikolay Mayorov, ningchi, nlathia, okbalefthanded, Okhlopkov, Olivier Grisel, Panos Louridas, Paul Strickland, Perrine Letellier, pestrickland, ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.18.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_1\_7: =========== Version 1.7 =========== For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_1\_7\_0.py`. .. include:: changelog\_l... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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all `Array API `\_ compliant inputs. See :ref:`array\_api` for more details. - |Feature| :func:`sklearn.utils.check\_consistent\_length` now supports Array API compatible inputs. By :user:`Stefanie Senger ` :pr:`29519` - |Feature| :func:`sklearn.metrics.explained\_variance\_score` and :func:`sklearn.metrics.mean\_pinba... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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be calculated. By :user:`Freddy A. Boulton ` and :user:`Stephen Pardy ` :pr:`26202` - |Enhancement| :class:`inspection.DecisionBoundaryDisplay` now supports plotting all classes for multi-class problems when `response\_method` is 'decision\_function', 'predict\_proba' or 'auto'. By :user:`Lucy Liu ` :pr:`29797` - |Fix|... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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:class:`metrics.RocCurveDisplay`, which allows easy plotting of multiple ROC curves from :func:`model\_selection.cross\_validate` results. By :user:`Lucy Liu ` :pr:`30399` - |Enhancement| :func:`metrics.det\_curve`, :class:`metrics.DetCurveDisplay.from\_estimator`, and :class:`metrics.DetCurveDisplay.from\_estimator` n... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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`. :pr:`31228` :mod:`sklearn.multioutput` -------------------------- - |Enhancement| The parameter `base\_estimator` has been deprecated in favour of `estimator` for :class:`multioutput.RegressorChain` and :class:`multioutput.ClassifierChain`. By :user:`Success Moses ` and :user:`dikraMasrour ` :pr:`30152` :mod:`sklear... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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Antony Lee, Arjun S, ArthurDbrn, Arturo, Arturo Amor, ash, Ashton Powell, ayoub.agouzoul, Ayrat, Bagus Tris Atmaja, Benjamin Danek, Boney Patel, Camille Troillard, Chems Ben, Christian Lorentzen, Christian Veenhuis, Christine P. Chai, claudio, Code\_Blooded, Colas, Colin Coe, Connor Lane, Corey Farwell, Daniel Agyapong... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.7.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_0\_24: ============ Version 0.24 ============ For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_0\_24\_0.py`. .. include:: changel... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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2021\*\* Packaging --------- The 0.24.0 scikit-learn wheels were not working with MacOS <1.15 due to `libomp`. The version of `libomp` used to build the wheels was too recent for older macOS versions. This issue has been fixed for 0.24.1 scikit-learn wheels. Scikit-learn wheels published on PyPI.org now officially supp... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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and order of column names between `fit` and `transform` by raising an error instead of a warning, following the deprecation cycle. :pr:`18256` by :user:`Madhura Jayratne `. :mod:`sklearn.covariance` ......................... - |API| Deprecates `cv\_alphas\_` in favor of `cv\_results\_['alphas']` and `grid\_scores\_` in... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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small positive eigenvalues. Small positive eigenvalues were not correctly discarded for 32-bits data. :pr:`18149` by :user:`Sylvain Marié `. - |Fix| Fix :class:`decomposition.SparseCoder` such that it follows scikit-learn API and supports cloning. The attribute `components\_` is deprecated in 0.24 and will be removed i... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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method :meth:`impute.SimpleImputer.inverse\_transform` to revert imputed data to original when instantiated with ``add\_indicator=True``. :pr:`17612` by :user:`Srimukh Sripada `. - |Fix| replace the default values in :class:`impute.IterativeImputer` of `min\_value` and `max\_value` parameters to `-np.inf` and `np.inf`,... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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is associated with one of the `k` highest predicted scores. :func:`metrics.accuracy\_score` is the special case of `k = 1`. :pr:`16625` by :user:`Geoffrey Bolmier `. - |Feature| Added :func:`metrics.det\_curve` to compute Detection Error Tradeoff curve classification metric. :pr:`10591` by :user:`Jeremy Karnowski ` and... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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raised. :pr:`18343` by `Guillaume Lemaitre`\_ and :user:`Devi Sandeep `. - |Enhancement| :func:`model\_selection.learning\_curve` now accept fit\_params to pass additional estimator parameters. :pr:`18595` by :user:`Amanda Dsouza `. - |Fix| Fixed the `len` of :class:`model\_selection.ParameterSampler` when all distribu... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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if warm started. :pr:`18269` by :user:`Norbert Preining ` and :user:`Guillaume Lemaitre `. :mod:`sklearn.pipeline` ....................... - |Enhancement| References to transformers passed through ``transformer\_weights`` to :class:`pipeline.FeatureUnion` that aren't present in ``transformer\_list`` will raise a ``Valu... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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contributors Thanks to everyone who has contributed to the maintenance and improvement of the project since version 0.23, including: Abo7atm, Adam Spannbauer, Adrin Jalali, adrinjalali, Agamemnon Krasoulis, Akshay Deodhar, Albert Villanova del Moral, Alessandro Gentile, Alex Henrie, Alex Itkes, Alex Liang, Alexander Le... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.24.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_1\_3: =========== Version 1.3 =========== For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_1\_3\_0.py`. .. include:: changelog\_l... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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the `param\_distributions` parameter is a list of dicts. :pr:`26893` by :user:`Stefanie Senger `. - |Fix| Neighbors based estimators now correctly work when `metric="minkowski"` and the metric parameter `p` is in the range `0 < p < 1`, regardless of the `dtype` of `X`. :pr:`26760` by :user:`Shreesha Kumar Bhat `. :mod:... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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asking to fit the instance with the appropriate arguments. :pr:`25294`, :pr:`25308`, :pr:`25291`, :pr:`25367`, :pr:`25402`, by :user:`John Pangas `, :user:`Rahil Parikh ` , and :user:`Alex Buzenet `. - |Enhancement| Added a multi-threaded Cython routine to the compute squared Euclidean distances (sometimes followed by ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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:mod:`sklearn.cluster` ...................... - |MajorFeature| Added :class:`cluster.HDBSCAN`, a modern hierarchical density-based clustering algorithm. Similarly to :class:`cluster.OPTICS`, it can be seen as a generalization of :class:`cluster.DBSCAN` by allowing for hierarchical instead of flat clustering, however it... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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values in the `W` and `H` matrices during the `fit` and `transform` steps of :class:`decomposition.NMF` and :class:`decomposition.MiniBatchNMF` which can produce different results than previous versions. :pr:`25438` by :user:`Yotam Avidar-Constantini `. - |API| The `W` argument in :func:`decomposition.NMF.inverse\_tran... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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key is deprecated in favor of `grid\_values` and the `values` key will be removed in 1.5. :pr:`21809` and :pr:`25732` by `Thomas Fan`\_. :mod:`sklearn.kernel\_approximation` ................................... - |Fix| :class:`kernel\_approximation.AdditiveChi2Sampler` is now stateless. The `sample\_interval\_` attribut... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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instead of actually normalizing them in the metric. Starting from 1.5 this will raise an error. :pr:`25299` by :user:`Omar Salman `. - |Fix| The `'matching'` metric has been removed when using SciPy>=1.9 to be consistent with `scipy.spatial.distance` which does not support `'matching'` anymore. :pr:`26264` by :user:`Ba... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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infrequent categories with `min\_frequency` or `max\_categories`. :pr:`25677` by `Thomas Fan`\_. - |Enhancement| :class:`preprocessing.PolynomialFeatures` now calculates the number of expanded terms a-priori when dealing with sparse `csr` matrices in order to optimize the choice of `dtype` for `indices` and `indptr`. I... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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by :user:`Dimitri Papadopoulos ORfanos `. .. rubric:: Code and documentation contributors Thanks to everyone who has contributed to the maintenance and improvement of the project since version 1.2, including: 2357juan, Abhishek Singh Kushwah, Adam Handke, Adam Kania, Adam Li, adienes, Admir Demiraj, adoublet, Adrin Jal... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.3.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn ============ Version 0.20 ============ .. warning:: Version 0.20 is the last version of scikit-learn to support Python 2.7 and Python 3.4. Scikit-learn 0.21 will require Python 3.5 or higher. .. include:: changelog\_legend.inc .. \_changes\_0\_20\_4: Version 0.... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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:issue:`13221` by :user:`Hanmin Qin `. Code and Documentation Contributors ----------------------------------- With thanks to: Adrin Jalali, Agamemnon Krasoulis, Albert Thomas, Andreas Mueller, Aurélien Bellet, bertrandhaut, Bharat Raghunathan, Dowon, Emmanuel Arias, Fibinse Xavier, Finn O'Shea, Gabriel Vacaliuc, Gael ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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Müller`\_. - |API| :func:`compose.make\_column\_transformer` now expects ``(transformer, columns)`` instead of ``(columns, transformer)`` to keep consistent with :class:`compose.ColumnTransformer`. :issue:`12339` by :user:`Adrin Jalali `. :mod:`sklearn.datasets` ............................ - |Fix| :func:`datasets.fetc... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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|Fix| Fixed a bug in :class:`preprocessing.OneHotEncoder` where transform failed when set to ignore unknown numpy strings of different lengths :issue:`12471` by :user:`Gabriel Marzinotto`. - |API| The default value of the :code:`method` argument in :func:`preprocessing.power\_transform` will be changed from :code:`box-... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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:term:`sample\_weight` support to several estimators (including :class:`~cluster.KMeans`, :class:`~linear\_model.BayesianRidge` and :class:`~neighbors.KernelDensity`) and improved stopping criteria in others (including :class:`~neural\_network.MLPRegressor`, :class:`~ensemble.GradientBoostingRegressor` and :class:`~lin... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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|Fix| Fixed a bug in `cluster.k\_means\_elkan` where the returned ``iteration`` was 1 less than the correct value. Also added the missing ``n\_iter\_`` attribute in the docstring of :class:`cluster.KMeans`. :issue:`11353` by :user:`Jeremie du Boisberranger `. - |Fix| Fixed a bug in :func:`cluster.mean\_shift` where the... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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By :user:`Wally Gauze `. - |Fix| Fixed a bug where the ``partial\_fit`` method of :class:`decomposition.IncrementalPCA` used integer division instead of float division on Python 2. :issue:`9492` by :user:`James Bourbeau `. - |Fix| In :class:`decomposition.PCA` selecting a n\_components parameter greater than the number... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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``max\_patches`` was greater than or equal to the number of all possible patches rather than simply returning the number of possible patches. :issue:`10101` by :user:`Varun Agrawal ` - |Fix| Fixed a bug in :class:`feature\_extraction.text.CountVectorizer`, :class:`feature\_extraction.text.TfidfVectorizer`, :class:`feat... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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and the coefficients. :issue:`10153` by :user:`Jörg Döpfert `. - |Fix| Fixed a bug in :class:`linear\_model.ARDRegression` and :class:`linear\_model.BayesianRidge` which caused NaN predictions when fitted with a constant target. :issue:`10095` by :user:`Jörg Döpfert `. - |Fix| Fixed a bug in :class:`linear\_model.Ridge... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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Added the :func:`metrics.davies\_bouldin\_score` metric for evaluation of clustering models without a ground truth. :issue:`10827` by :user:`Luis Osa `. - |MajorFeature| Added the :func:`metrics.balanced\_accuracy\_score` metric and a corresponding ``'balanced\_accuracy'`` scorer for binary and multiclass classificatio... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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Added function :term:`fit\_predict` to :class:`mixture.GaussianMixture` and :class:`mixture.GaussianMixture`, which is essentially equivalent to calling :term:`fit` and :term:`predict`. :issue:`10336` by :user:`Shu Haoran ` and :user:`Andrew Peng `. - |Fix| Fixed a bug in `mixture.BaseMixture` where the reported `n\_it... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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which did not accept vector valued pseudocounts (alpha). :issue:`10346` by :user:`Tobias Madsen ` :mod:`sklearn.neighbors` ........................ - |Efficiency| :class:`neighbors.RadiusNeighborsRegressor` and :class:`neighbors.RadiusNeighborsClassifier` are now parallelized according to ``n\_jobs`` regardless of ``al... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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transformation in situations where normality and homoscedasticity are desirable. :issue:`10210` by :user:`Eric Chang ` and :user:`Maniteja Nandana `, and :issue:`11520` by :user:`Nicolas Hug `. - |MajorFeature| NaN values are ignored and handled in the following preprocessing methods: :class:`preprocessing.MaxAbsScaler... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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in version 0.22 to account better for unscaled features. :issue:`8361` by :user:`Gaurav Dhingra ` and :user:`Ting Neo `. :mod:`sklearn.tree` ................... - |Enhancement| Although private (and hence not assured API stability), `tree.\_criterion.ClassificationCriterion` and `tree.\_criterion.RegressionCriterion` m... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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to use the site joblib instead of the vendored one was added (:ref:`environment\_variable`). The main API of joblib is now exposed in :mod:`sklearn.utils`. :issue:`11166` by `Gael Varoquaux`\_. - |Feature| Add almost complete PyPy 3 support. Known unsupported functionalities are :func:`datasets.load\_svmlight\_file`, :... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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McCarthy, Attractadore, Aurélien Bellet, Aurélien Geron, Ayush Gupta, Balakumaran Manoharan, Bangda Sun, Barry Hart, Bastian Venthur, Ben Lawson, Benn Roth, Breno Freitas, Brent Yi, brett koonce, Caio Oliveira, Camil Staps, cclauss, Chady Kamar, Charlie Brummitt, Charlie Newey, chris, Chris, Chris Catalfo, Chris Foster... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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Vinod Kumar L, Viraj Mavani, Viraj Navkal, Vivek Kumar, Vlad Niculae, vqean3, Vrishank Bhardwaj, vufg, wallygauze, Warut Vijitbenjaronk, wdevazelhes, Wenhao Zhang, Wes Barnett, Will, William de Vazelhes, Will Rosenfeld, Xin Xiong, Yiming (Paul) Li, ymazari, Yufeng, Zach Griffith, Zé Vinícius, Zhenqing Hu, Zhiqing Xiao,... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.20.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn ============ Version 0.21 ============ .. include:: changelog\_legend.inc .. \_changes\_0\_21\_3: Version 0.21.3 ============== \*\*July 30, 2019\*\* Changed models -------------- The following estimators and functions, when fit with the same data and parameter... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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- |Fix| Fixed a bug in :class:`preprocessing.OneHotEncoder` where the new `drop` parameter was not reflected in `get\_feature\_names`. :pr:`13894` by :user:`James Myatt `. `sklearn.utils.sparsefuncs` ........................... - |Fix| Fixed a bug where `min\_max\_axis` would fail on 32-bit systems for certain large in... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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from version 0.23 to keep consistent with :func:`metrics.r2\_score`. This will influence the ``score`` method of all the multioutput regressors (except for :class:`multioutput.MultiOutputRegressor`). :pr:`13157` by :user:`Hanmin Qin `. :mod:`sklearn.calibration` .......................... - |Enhancement| Added support ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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error in prediction time if a column vector ``y`` with ``shape=(n, 1)`` was given at ``fit`` time. :pr:`13545` by :user:`Nick Sorros ` and `Adrin Jalali`\_. :mod:`sklearn.ensemble` ....................... - |MajorFeature| Add two new implementations of gradient boosting trees: :class:`ensemble.HistGradientBoostingClass... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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of the priors. :pr:`12983` by :user:`Nicolas Hug`. - |Fix| Fixed a bug in :class:`ensemble.RandomForestClassifier` where the ``predict`` method would error for multiclass multioutput forests models if any targets were strings. :pr:`12834` by :user:`Elizabeth Sander `. - |Fix| Fixed a bug in `ensemble.gradient\_boosting... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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solver. :pr:`11646` by :user:`Nicolas Hug `. - |Feature| Added :class:`linear\_model.lars\_path\_gram`, which is :class:`linear\_model.lars\_path` in the sufficient stats mode, allowing users to compute :class:`linear\_model.lars\_path` without providing ``X`` and ``y``. :pr:`11699` by :user:`Kuai Yu `. - |Efficiency| ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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- |Efficiency| Make :func:`manifold.trustworthiness` use an inverted index instead of an `np.where` lookup to find the rank of neighbors in the input space. This improves efficiency in particular when computed with lots of neighbors and/or small datasets. :pr:`9907` by :user:`William de Vazelhes `. :mod:`sklearn.metric... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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`return\_train\_scores` is True and `verbose` > 2. For :func:`~model\_selection.learning\_curve`, and :func:`~model\_selection.validation\_curve` only the latter is required. :pr:`12613` and :pr:`12669` by :user:`Marc Torrellas `. - |Enhancement| Some :term:`CV splitter` classes and `model\_selection.train\_test\_split... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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Also added a new parameter ``order`` which controls output order for further speed performances. :pr:`12251` by `Tom Dupre la Tour`\_. - |Fix| Fixed the calculation overflow when using a float16 dtype with :class:`preprocessing.StandardScaler`. :pr:`13007` by :user:`Raffaello Baluyot ` - |Fix| Fixed a bug in :class:`pr... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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` and :user:`Clément Doumouro `. Miscellaneous ............. - |Enhancement| Joblib is no longer vendored in scikit-learn, and becomes a dependency. Minimal supported version is joblib 0.11, however using version >= 0.13 is strongly recommended. :pr:`13531` by :user:`Roman Yurchak `. Changes to estimator checks -------... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.21.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_1\_2: =========== Version 1.2 =========== For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_1\_2\_0.py`. .. include:: changelog\_l... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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Jerphanion `. - |Fix| Fix a bug where the current configuration was ignored in estimators using `n\_jobs > 1`. This bug was triggered for tasks dispatched by the auxiliary thread of `joblib` as :func:`sklearn.get\_config` used to access an empty thread local configuration instead of the configuration visible from the t... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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... | 0.107408 |
models from the previous version. This often occurs due to changes in the modelling logic (bug fixes or enhancements), or in random sampling procedures. - |Enhancement| The default `eigen\_tol` for :class:`cluster.SpectralClustering`, :class:`manifold.SpectralEmbedding`, :func:`cluster.spectral\_clustering`, and :func:... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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by :user:`Julien Jerphanion `, :user:`Olivier Grisel `, and `Thomas Fan`\_, :pr:`24556` by :user:`Vincent Maladière `. - |Fix| Systematically check the sha256 digest of dataset tarballs used in code examples in the documentation. :pr:`24617` by :user:`Olivier Grisel ` and `Thomas Fan`\_. Thanks to `Sim4n6 `\_ for the r... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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select how whitening is performed through the new `whiten\_solver` parameter, which supports `svd` and `eigh`. `whiten\_solver` defaults to `svd` although `eigh` may be faster and more memory efficient in cases where `num\_features > num\_samples`. :pr:`11860` by :user:`Pierre Ablin `, :pr:`22527` by :user:`Meekail Zai... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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:class:`ensemble.RandomTreesEmbedding`, :class:`ensemble.IsolationForest`. `base\_estimator\_` is deprecated in 1.2 and will be removed in 1.4. :pr:`23819` by :user:`Adrian Trujillo ` and :user:`Edoardo Abati `. :mod:`sklearn.feature\_selection` ................................ - |Fix| Fix a bug in :func:`feature\_sele... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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- |Enhancement| Adds `eigen\_tol` parameter to :class:`manifold.SpectralEmbedding`. Both :func:`manifold.spectral\_embedding` and :class:`manifold.SpectralEmbedding` now propagate `eigen\_tol` to all choices of `eigen\_solver`. Includes a new option `eigen\_tol="auto"` and begins deprecation to change the default from ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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parameter `force\_alpha` was added to :class:`naive\_bayes.BernoulliNB`, :class:`naive\_bayes.ComplementNB`, :class:`naive\_bayes.CategoricalNB`, and :class:`naive\_bayes.MultinomialNB`, allowing user to set parameter alpha to a very small number, greater or equal 0, which was earlier automatically changed to `1e-10` i... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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- |Fix| :func:`utils.check\_array` now supports Pandas Series with `pd.NA` by raising a better error message or returning a compatible `ndarray`. :pr:`25080` by `Thomas Fan`\_. - |API| The extra keyword parameters of :func:`utils.extmath.density` are deprecated and will be removed in 1.4. :pr:`24523` by :user:`Mia Baji... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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Desai, Sabri Monaf Sabri, Safikh, Safiuddin Khaja, Salahuddin, Sam Adam Day, Sandra Yojana Meneses, Sandro Ephrem, Sangam, SangamSwadik, SANJAI\_3, SarahRemus, Sashka Warner, SavkoMax, Scott Gigante, Scott Gustafson, Sean Atukorala, sec65, SELEE, seljaks, Shady el Gewily, Shane, shellyfung, Shinsuke Mori, Shiva chauhan... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.2.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_1\_0: =========== Version 1.0 =========== For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_1\_0\_0.py`. .. include:: changelog\_l... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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Version 1.0.1 ============= \*\*October 2021\*\* Fixed models ------------ - |Fix| Non-fit methods in the following classes do not raise a UserWarning when fitted on DataFrames with valid feature names: :class:`covariance.EllipticEnvelope`, :class:`ensemble.IsolationForest`, :class:`ensemble.AdaBoostClassifier`, :class... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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parameter is used as positional, a `TypeError` is now raised. :issue:`15005` :pr:`20002` by `Joel Nothman`\_, `Adrin Jalali`\_, `Thomas Fan`\_, `Nicolas Hug`\_, and `Tom Dupre la Tour`\_. See `SLEP009 `\_ for more details. Changed models -------------- The following estimators and functions, when fit with the same data... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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in 1.2. :pr:`20165` by `Thomas Fan`\_. - |API| :term:`get\_feature\_names\_out` has been added to the transformer API to get the names of the output features. `get\_feature\_names` has in turn been deprecated. :pr:`18444` by `Thomas Fan`\_. - |API| All estimators store `feature\_names\_in\_` when fitted on pandas Dataf... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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by :user:`Ricardo `. - |FIX| `compose.ColumnTransformer.get\_feature\_names` supports non-string feature names returned by any of its transformers. However, note that ``get\_feature\_names`` is deprecated, use ``get\_feature\_names\_out`` instead. :pr:`18459` by :user:`Albert Villanova del Moral ` and :user:`Alonso Sil... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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:class:`~sklearn.ensemble.HistGradientBoostingClassifier` and :class:`~sklearn.ensemble.HistGradientBoostingRegressor` take cgroups quotas into account when deciding the number of threads used by OpenMP. This avoids performance problems caused by over-subscription when using those classes in a docker container for inst... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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|Fix| Allow multiple scorers input to :func:`inspection.permutation\_importance`. :pr:`19411` by :user:`Simona Maggio `. - |API| :class:`inspection.PartialDependenceDisplay` exposes a class method: :func:`~inspection.PartialDependenceDisplay.from\_estimator`. `inspection.plot\_partial\_dependence` is deprecated in favo... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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- |API| The ``normalize`` parameter of :class:`~linear\_model.OrthogonalMatchingPursuit` and :class:`~linear\_model.OrthogonalMatchingPursuitCV` will default to False in 1.2 and will be removed in 1.4. :pr:`17750` by :user:`Maria Telenczuk ` and :user:`Alexandre Gramfort `. Same for :class:`~linear\_model.Lars` :class:... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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:class:`model\_selection.StratifiedKFold` and :class:`model\_selection.GroupKFold`, providing an ability to split data preserving the distribution of classes in each split while keeping each group within a single split. :pr:`18649` by :user:`Leandro Hermida ` and :user:`Rodion Martynov `. - |Enhancement| warn only once... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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the appropriate error message. :pr:`19879` by :user:`Guillaume Lemaitre `. - |Fix| The `fit` method of :class:`preprocessing.OrdinalEncoder` will not raise error when `handle\_unknown='ignore'` and unknown categories are given to `fit`. :pr:`19906` by :user:`Zhehao Liu `. - |Fix| Fix a regression in :class:`preprocessi... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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`Tom Dupre la Tour`\_. .. rubric:: Code and documentation contributors Thanks to everyone who has contributed to the maintenance and improvement of the project since version 0.24, including: Abdulelah S. Al Mesfer, Abhinav Gupta, Adam J. Stewart, Adam Li, Adam Midvidy, Adrian Garcia Badaracco, Adrian Sadłocha, Adrin Ja... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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Yosuke KOBAYASHI, Yu Feng, YusukeNagasaka, yzhenman, Zero, ZeyuSun, ZhaoweiWang, Zito, Zito Relova | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v1.0.rst | main | scikit-learn | [
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.. include:: \_contributors.rst .. currentmodule:: sklearn .. \_release\_notes\_0\_23: ============ Version 0.23 ============ For a short description of the main highlights of the release, please refer to :ref:`sphx\_glr\_auto\_examples\_release\_highlights\_plot\_release\_highlights\_0\_23\_0.py`. .. include:: changel... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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their constructor, when `changed\_only` is True which is now the default. :pr:`17205` by `Nicolas Hug`\_. .. \_changes\_0\_23: Version 0.23.0 ============== \*\*May 12 2020\*\* Enforcing keyword-only arguments -------------------------------- In an effort to promote clear and non-ambiguous use of the library, most cons... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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type. :pr:`16484` by :user:`Jeremie du Boisberranger `. - |Fix| :class:`cluster.AgglomerativeClustering` add specific error when distance matrix is not square and `affinity=precomputed`. :pr:`16257` by :user:`Simona Maggio `. - |API| The ``n\_jobs`` parameter of :class:`cluster.KMeans`, :class:`cluster.SpectralCocluste... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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....................... - |MajorFeature| :class:`ensemble.HistGradientBoostingClassifier` and :class:`ensemble.HistGradientBoostingRegressor` now support :term:`sample\_weight`. :pr:`14696` by `Adrin Jalali`\_ and `Nicolas Hug`\_. - |Feature| Early stopping in :class:`ensemble.HistGradientBoostingClassifier` and :class... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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allocate a potentially large array to store dual coefficients for all hyperparameters during its `fit`, nor an array to store all error or LOO predictions unless `store\_cv\_values` is `True`. :pr:`15652` by :user:`Jérôme Dockès `. - |Enhancement| :class:`linear\_model.LassoLars` and :class:`linear\_model.Lars` now sup... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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`fit\_params` to pass to the `estimator.fit` method of each step. :issue:`15953` :pr:`15959` by :user:`Ke Huang `. - |Enhancement| :class:`multioutput.RegressorChain` now supports `fit\_params` for `base\_estimator` during `fit`. :pr:`16111` by :user:`Venkatachalam N `. :mod:`sklearn.naive\_bayes` ........................ | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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well as ``predict`` method of :class:`tree.DecisionTreeRegressor`, :class:`tree.ExtraTreeRegressor`, and :class:`ensemble.GradientBoostingRegressor`. :pr:`16331` by :user:`Alexandre Batisse `. :mod:`sklearn.utils` .................... - |MajorFeature| Estimators can now be displayed with a rich html representation. Thi... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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Breuer, david-cortes, dbauer9, Divyaprabha M, Edward Qian, Ekaterina Borovikova, ELNS, Emily Taylor, Erich Schubert, Eric Leung, Evgeni Chasnovski, Fabiana, Facundo Ferrín, Fan, Franziska Boenisch, Gael Varoquaux, Gaurav Sharma, Geoffrey Bolmier, Georgi Peev, gholdman1, Gonthier Nicolas, Gregory Morse, Gregory R. Lee, ... | https://github.com/scikit-learn/scikit-learn/blob/main/doc/whats_new/v0.23.rst | main | scikit-learn | [
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