Release 0.24.2 #19954
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Release 0.24.2 #19954
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…#18025) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
…earn#18972) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
…t-learn#19005) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
…#18833) Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Lambda was meant to be on a different line.
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
…n#19703) Co-authored-by: Sasha Fonari <fonari@schrodinger.com> Co-authored-by: Chiara Marmo <cmarmo@users.noreply.github.com> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
…9727) Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
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I just want to thank @glemaitre for finishing rebasing, getting into various conflicts checks manually. 🤝 👏 |
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Thank you @glemaitre for putting this release together! |
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Thank you very much @glemaitre |
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Pending PR to be included in this release
https://github.com/scikit-learn/scikit-learn/pulls?q=is%3Aopen+is%3Apr+milestone%3A0.24.2
Checklist
[cd build]commit message to upload wheels to the staging repohttps://github.com/conda-forge/scikit-learn-feedstock and wait for merge
.binder/requirement.txt(see[MRG] More explicit binder requirements for 0.22 #15847)
List of cherry-picked commits
pick 671069c CI Dynamically select unpack directory (#18957)
pick e21319f MNT remove .github/workflows/sync_pull_request.yml (#18951)
drop 7cb6b8f TST add py_loss for tests in sgd_fast.pyx (#18924)
pick e4af84e DOC Fix broken link to SLEPs in the Governance docs (#18967)
pick 1924b0a DOC Updates confusion_matrix.py to match parameter in code(#18938)
pick 4773f3e DOC more updates to maintainers' doc (#18954)
pick c9677d6 DOC Typo addressed in confusion_matrix docstring (#18979)
pick 8ebb614 Added self to abstract fit method (#18971)
pick fb06fc8 DOC Update logos from Consortium funders (#18991)
pick d953f74 BLD Add clean command to skip list (#18999)
pick 0937b4a FIX change stats.mode to Counter for better performance with object dtype (#18987)
drop e55795b MNT Switch master to 1.0.dev0 (#18958)
pick 8e9ced2 DOC Fix doc of defaults in sklearn.utils.sparsefuncs.py (#18025)
pick a28da97 MNT fix GitHub pull request template link (#19009)
pick 58f9143 DOC explain how to use custom edge bins in KBinsDiscretizer (#18972)
pick 95128d3 CI Build wheels for the ARM64 architecture (#18782)
pick eedda91 BUG Fixes fetch_kddcup99 for return_X_y and as_frame (#19011)
pick 38b7155 DOC fix citations for de Leeuw in IsotonicRegression (#18952)
pick 6b60558 Trigger [cd build] to test #18782 # empty
pick d304331 DOC fix multiclass AUC formulas in user guide (#18559)
drop e1408d0 MNT better error message in RidgeCV (#19020)
pick 3bca041 CI Avoid Travis stuck on failure (#19018)
pick e406860 CI Only build wheels on main repo (#19026)
pick be4f8a5 DOC correct some typo in bug_triaging.rst (#19032)
pick 105d37a DOC Revises a sentence in the description of RFE (#19033)
pick 51bd343 MNT skip preprocessing.rst when pandas is not installed (#19016)
pick 2218ec4 MNT change 0.25 to 1.0 and 0.26 to 1.1 in deprecation messages (#19005)
pick 64c1ff0 CI Removes scipy-dev from travis (#19036)
pick 54375d2 DOC correct shape of returned ndarray in BinaryTree.query (#18969)
pick 9780abd DOC Fix typo in Gaussian Process docs (#19039)
drop dc1ea27 ENH Avoid repeated input checks in kmeans++ (#19002)
pick 6af03a5 DOC removed algorithm parameter of CCA (#19047)
pick 6657a82 [DOC] Improved consistency of the docstring of an ignored y parameter (#19049)
pick 983d1ee DOC Fix typo in experimental features documentation (#19053)
pick dc56167 MNT silence spurious FitFailedWarning in test_search_cv (#18833)
pick a92ec1b DOC fix simple typo, variales -> variables (#19054)
pick afbd4b3 MNT remove docstring check in pypy build (#19057)
pick 3e73679 CI Use Travis secret tokens to upload the ARM64 wheels (#19017)
pick 7a1aad0 Trigger [cd build] to test the result of #19017 # empty
pick b026c4d DOC 0.24.0 release highlights formatting (#19059)
drop 3cdfb56 Parallelize init_bound_dense in Elkan algorithm (#19052)
drop 6b4f824 FIX ElasticNet.fit does not modify sample_weight in place (#19055)
drop 8f72c2a ENH Adds n_features_in checking in gaussian_process (#18743)
drop 5946f8b ENH Adds n_features_in_ checks to linear and svm modules (#18578)
pick def0e68 CI Fixes scipy-dev build instance (#19062)
drop 2d95acf ENH/DOC Add additional validation for user-supplied gram matrixes (#19004)
drop dfc5e16 DOC Add var_ attribute and deprecate sigma_ in GaussianNB (#18842)
drop d0ef869 Add Github Discussions to issue template. (#19108)
drop 34de1b9 ENH add fontname argument in export_graphviz for non-English characters (#18959)
drop 1bb0306 FIX An overflow issue in HashingVectorizer (#19035)
pick d626d77 Add @fails_if_pypy to test_nonnegative_hashing_vectorizer_result_indices (#19173)
pick 43b169b DOC fix year release 0.24.1
pick 8bdd291 DOC Generalise norm notation in NMF docstring. (#19209)
drop 9183486 FIX correct Lasso.dual_gap_ to match the objective in its docstring (#19172)
pick 4db51e6 [DOC] Add scikeras to related projects. (#19226)
drop 364b1e3 FIX Incorrect warning when clustering boolean data (#19046)
pick 8ea176a FIX validate handle_unkown strategies in OrdinalEncoder (#19234)
drop 306826f MRG Deprecates 'normalize' in LinearRegression (base.py) (#17743)
pick 468c3f4 MNT replace master with main (#19237)
drop d652551 DOC reorder what's new 1.0 (#19245)
pick 7404a82 [DOC] Clarify the docstring of dict learning about the inits (#19227)
drop 8c6a045 ENH/DEP add class method and deprecate plot function for confusion matrix (#18543)
pick 3b3b7f5 FIX BIRCH: self.partial_fit -> self.partial_fit (#19231)
pick 0f0eb52 FIX check_decision_proba_consistency random failure (#19225)
drop 27f1c73 FEA Add SplineTransformer (#18368)
drop 6f32544 FIX discrete Naive Bayes model fitting for degenerate single-class case (#18925)
pick 6e023c7 MNT use bool instead of np.bool_ to silence FutureWarning [scipy-dev] (#19267)
drop 35b2bbf FIX/MNT do not support OOB score for multiclass-multioutput and additional refactoring (#19162)
pick 7c2f928 FIX Fixes test_compare_to_elki failure (#19221)
drop e449f9f MNT Ignore unused variable in pipeline. (#19273)
pick 5ef9fa4 DOC replace plot_confusion_matrix in See Also section (#19277)
drop 8965abb CLN Removes duplicated or unneeded code in ColumnTransformer (#19261)
pick 315463f DOC update Keras description in related projects (#19265)
pick ca7fc5d DOC Add URL to reference of Minka paper used in PCA (#19207)
pick 60fb637 DOC Add translation section in related projects (#19001)
drop 0aee596 ENH Checks n_features_in in semi_supervised (#18742)
pick 74f20ae DOC Fixed typo in a comment (#19284)
drop 054d156 ENH Checks n_features_in in neighbors (#18744)
pick 6a9c286 DOC Fixes formating in feature_extraction module (#19274)
pick c86076f DOC clarify docstrings + fixes links to references in linear models (#19282)
pick 1183462 DOC Correct dataframe shape in fetch_covtype documentation (#19288)
pick ee32699 DOC use notebook style and diagram for feature selection example (#18836)
pick 3a1b4b8 DOC remove duplicated line of code in linear_model.rst (#19292)
drop ff2e52d TST add binary and multiclass test for scorers (#18904)
pick 96dfe1e DOC Add log-link to Gamma and Poisson Regressor (#19287)
pick 776f691 removing incrementalPCA example in basePCA (#19298)
drop b943324 API Removes tol=None option from HistGradientBoosting* (#19296)
drop aa1e69a API Removes the use of fit_ and partial_fit_ in Birch (#19297)
pick 863c552 CLN Fixes PendingDeprecationWarning in CountVectorizer (#19299)
pick 38e6022 TST Ignores PendingDeprecationWarning in tests (#19301)
drop 88be2ab Simplify computation of radius to match BIRCH more closely (#19251)
pick 71f7085 TST Filter out warning for pyamg using deprecated behavior (#19312)
drop 96a96f1 ENH Adds n_features_in_ checking in cross_decomposition (#18741)
pick 3325c23 CI Check only title for regex labeling (#19303)
pick 462694a DOC Balanced accuracy score adjusted doc fix (#19309)
pick 4408a25 CI Skips test in loading_other_datasets.rst based on env flag (#19295)
pick 0cc91e7 DOC fix ungrammatical sentence in doc of SelectFromModel (#19240)
pick 81a56bd FIX Don't overwrite input sample_weight in LogisticRegression (#19182)
pick 69d6378 EXA use pipeline in feature engineering example with RF,RT,GBDT (#18835)
drop cd06652 FIX nan bug in BaseLabelPropagation (#19271)
pick 8815bce DOC Updates css consistent admonition styling (#19249)
pick 07e1a6b DOC Remove algorithm flag for PLS regression (#19204)
drop 66560d6 Dictionary Learning: transform_alpha default equal to alpha (#19159)
pick 94b81ab DOC use diagram and simplify pipeline in stacking example (#18830)
drop 4fd851c FIX Ensure determinism of SVD init in dict_learning (#18433)
pick d831bab CI Update ICC install commands (#19329)
pick 673f625 Fix min_pos when all negative + speed up (#19328)
drop 74a37de MAINT Use check_finite=False in sklearn.manifold (#18886)
pick 819c43c DOC correct behavior of precompute with sparse input (#19348)
drop 23d8761 ENH Checks n_features_in_ in discriminant_analysis (#19342)
pick 70534d6 FIX Add
withcontext manager to open file from OpenML in test file (#19367)pick 28fa897 DOC rename Birch to BIRCH in docs (#19368)
drop a952fbb MAINT Remove the use of assert_raises* in model_selection/tests/test_search (#19371)
drop 80c47b0 ENH Adds categories with missing values support to fetch_openml with as_frame=True (#19365)
drop d6bd7be MNT simplify pyproject.toml by using oldest-supported-numpy [cd build] (#18900)
drop e230778 TST replace assert_raises* by pytest.raises in dummy module (#19386)
drop 4220043 TST Suppress multiple active versions of dataset warnings in
test_openml.py(#19373)drop bd67f12 TST replace assert_raises with the pytest.raises context manager in dummy module (#19372) # empty
pick 9433799 EXA remove warning when setting yticks in permutation importances examples (#19385)
pick c20a309 DOC fix a typo in kmeans.py (#19398)
pick cf4909e DOC simplify SVM margin illustration by chaging plotting style (#19387)
pick 2be474b DOC Documents n_features_in in cross_decomposition (#19351)
pick 920f225 EXA improve example of forest feature importances (#19377)
drop 7e197fd ENH Adds n_features_in_ checking to feature_selection (#19344)
pick 86bc6c9 MNT specify main branch in asv config for the publish command (#19408)
drop c3f647a MNT Fix divide by zero error thrown by random_choice_csc during a test run (#19383)
pick a870f43 DOC clarify variance estimation in PCA implementation (#19378)
pick 5403e9f DOC Explicitly remove support for
precompute='auto'for Lasso (#19412)pick 087a684 FIX index sample_weight in least_absolute_deviation loss in HistGradientBoosting (#19407)
drop 1ea7905 DOC reorder whats new section
drop 8066086 MNT Consolidate incremental_weighted_mean_and_var into incremental_mean_and_var (#19422)
pick 9cbe1bb DOC Evaluating estimator performance - grammar fix (#19419)
pick 4aff385 DOC Better information about transductive and inductive cluster methods (#19350)
drop f58d1eb ENH Allow multiple scorers input to permutation_importance (#19411)
drop 6489daf TST Fix RuntimeWarning: invalid value encountered in test_calibration.py (#19421)
drop 7f5ee92 TST replace assert_warns* by pytest.warns in ensemble/tests (#19425)
drop a8d6361 TST replace assert_warns* by pytest.warns in module svm/tests (#19424)
drop c61dcff TST replace assert_raise* by pytest.raises in ensemble module (#19399)
drop 7729cb4 FIX RuntimeWarning by dividing by zero in test_kernel_gradient (#19396)
drop 6959532 ENH Checks n_features_in in covariance (#19341)
pick f4ed4c1 TST Fixes logistic & partial_dependence test for 32bit wheels (#19402)
pick abd1597 FIX Converted output to int64 in random_projection min_dim (#19374)
drop 769da3d FIX CountVectorizer does not check for lowercase in vocabulary (#19401)
drop e6e543b ENH Better err messages for contamination in outlier detectors (#18780)
pick 95fa18f TST Fixes docstring ordering and test_docstring_parameters (#19048)
drop 31b34b5 Fix: RuntimeWarning by dividing by zero in test_radius_neighbors_classifier_zero_distance (#19395)
drop dac5605 TST replace assert_raise by pytest.raises in linear_model (#19440)
pick a0ba256 DOC oob_score is only available when bootstrap=True (#19444)
drop 8c05919 DOC update copyright year forever (#19463)
pick b251f3f FIX Gives a unique id to html visualization (#19417)
pick 4b72b57 DOC Fix typo in LDA User Guide (#19468)
pick 80d674e DOC Fix closing backtick in IterativeImputer (#19476)
pick 4d60a81 DOC Remove extra word from LOF docstring (#19477)
pick 66f67dd DOC Fix broken link to wikipedia in semi-supervised UG (#19481)
drop cc13313 TST remove assert_warns in feature_extraction/tests/ module (#19439)
drop 3217999 TST Replace the use of assert_warns messages in cluster/tests/ module (#19437)
pick c282d6c DOC clarify that n_iter_no_change is not just for early-stopping for SGD (#19462)
pick eec623a DOC Replace onnxmltools by sklearn-onnx (#19484)
pick bea9211 DOC update whats new 0.24 for backport (#19434)
drop 6a6217f ENH Add mean_pinball_loss metric for quantile regression (#19415)
drop e9c6fca Fix underflow issues due to float precision in TSNE (#19472)
pick 0c39dd3 DOC enet_path docstring: fix sub/superscript swap (#19493)
pick 43241b1 DOC fix missing closing quote in user guide
drop b5e55f7 TST replace assert_warns* by pytest.warns in model_selection/tests (#19458)
drop b169bc0 FIX RuntimeWarning by dividing by zero in test_sanity_check_pls_regression_constant_column_Y (#19480)
pick 70c6ac9 DOC Fixed typos in documentation (#19511)
drop 23f8df3 TST Improve ridge solver consistency tests (#19503)
drop c3eb5ed TST replace assert_raise* by pytest.raises in neighbors module (#19388)
drop dbd68b2 MRG fix Normalize for linear models when used with sample_weight (#19426)
pick 0453420 EXA Fix overlapping titles in clustering overview (#19506)
drop 1000d0a TST replace assert_raise with pytest.raises in test_base.py (#19500)
drop 6852e31 ENH Adds n_features_in_ to ensemble module (#19326)
drop 8b71a67 CI Fixes twitter workflow (#19525)
pick 26c5530 MNT Set non-interactive installation mode for the pypy job (#19461)
drop 5c24622 ENH Adds n_features_in_ to naive_bayes (#19485)
drop fab739c CI Add workflow to check Changelog entry. (#19155)
pick e23dd85 TST Does not use cache in openml test (#19534)
drop f2943c6 CI Fix shell syntax introduced in #19155
drop 86445ab CI Fix origin/master -> origin/main in check-changelog
drop 638b768 ENH Adds nan passthrough in OrdinalEncoder (#19069)
drop c748e46 FIX Don't scale near-constant features to large values (#19527)
pick 15d2df4 MNT Clear travis installation script (#19532)
drop 70af34c TST Use pytest.warns in sklearn.semi_supervised tests (#19510)
drop 97fbf4e [CI] Add trigging events to check-changelog workflow. (#19545)
drop 052efae TST Allows isotonic and manifold (#19539)
drop 12db86e ENH Checks n_features_in_ after fitting in random_projection (#19541)
pick 139d751 DOC Update calibration.rst (#19557)
drop 94abe05 ENH Enables common test for bicluster (#19542)
pick e0f0c7f DOC Fix documentation on pickle portability (#19561)
drop f0a6f05 FIX bug in SplineTransformer.n_features_out_ (#19577)
drop 0df7abf TST replace asert_warns by pytest.warns in compose/tests (#19492)
pick 15c2c72 FIX Do not call get_feature_names for empty column selections (#19579)
drop c00c4bd Change assert_raises to pytest_raises (#19509)
pick 8d3b424 FIX race condition in get_data_home causing FileExistsError (#19560)
drop 72db93c TST replaces assert_raises* by pytest.raises in model_selection/tests/test_split.py (#19585)
pick 192952a FIX Deep copy criterion in trees to fix concurrency bug (#19580)
pick 482a778 MAINT Update _arff.py (#19597)
drop 5c0bbb0 TST replaces assert_raise* by pytest.raises in model_selection (#19592)
drop 28ee486 TST Change assert to pytest style in tests/test_discriminant.py (#19558)
drop bd53f54 TST Change assert from sklearn to pytest style in tests/test_multiclass.py (#19593)
pick 4e732f8 Add BNP Paribas Cardif testimonial. (#19586)
drop 1045d16 PERF don't compute variance when normalize is False in linear models (#19606)
pick 42e90e9 DOC Fixes spelling mistake in kmeans.py (#19634)
drop f2773e8 TST replace assert_raise* by pytest.raises in tests/test_multioutput.py (#19618)
drop ae3d955 TST Uses pytest.raises in model_selection/tests (#19621)
drop ad7c316 Fix Calibrated classifier cv predictions with pipeline (#19641)
pick 4beb0c2 MNT Make setup.py command parsing more robust (#19650)
pick 58af019 DOC Use term 'black people' instead of 'blacks' in Boston descr (#19661)
drop 5980455 ENH Speedup confusion_matrix (#9843)
pick 6f180d7 BUG Fixes verbose > 2 for grid search (#19659)
pick bfd7b58 TST Do not use cache in test_fetch_openml_iris (#19594)
drop 5ccfabf TST Change assert from sklearn to pytest style in module linear_model/tests (#19565)
drop 579e7de move kmpp public next to kmpp private (#19666)
drop 15fd026 RFC Make non_negative_factorization call NMF instead of the opposite (#19607)
drop f4e692c ENH Raises error in hinge_loss when 'pred_decision' is invalid (#19643)
drop e3e4a77 MNT Remove absolute imports (#19668)
drop 0c74b8b ENH Optimize dot product order for LogisticRegression for dense matrices (#19571)
pick 95c3c76 DOC Fix typo in plot_multi_metric_evaluation example (#19675)
drop 77e998d ENH Deprecated the default random_state=0 in randomized_svd (#19670)
drop ac6dea5 MNT Fix error message for Minkowski metric parameter (#19671)
drop 302106b FIX RuntimeWarning by dividing by zero in test_iforest_with_uniform_data (#19622)
drop d996eaf ENH Adds _num_features for array-likes (#19633)
drop edc4f15 TST Change assert from sklearn to pytest style in tests/test_pipeline.py (#19678)
drop b7b510f FIX RuntimeWarning division by zero in check_classifiers_one_label (#19690)
drop fcf4740 TST Add a test to check the consistency of the Ridge and ElasticNet(l1_ratio=0) solutions (#19620)
pick 36e4358 [MRG] Fix documentation for russelrao formula (#19695)
drop 95b7c68 ENH Add periodic extrapolation to SplineTransformer (#19483)
pick edc6995 CI Use conda instead of pip to install anaconda-client (#19528)
pick 9a186a5 MAINT Python 3.9 in badge on README.rst (#19702)
pick 04f84c6 DOC Added utils.gen_batches in documentation (#19688)
drop 2e7009b ENH Better error for corrupted files in fetch_kddcup99 (#19669)
drop ca9618c MNT move PolynomialFeatures from data.py to polynomial.py (#19611)
pick 0d7d46f Fix typo in elastic net docstring. (#19711)
pick bf4049c DOC Correct scorer documentation (#19720)
drop b9d6db8 [MRG] ENH Consistent loss name for squared error (#19310)
drop 071ddc7 Removed assert_warns_message from gaussian_process/tests (#19697)
drop cc1b171 Replaced assert_raises from utils/tests/test_estimator_checks (#19709)
pick 03edffa DOC Add scikit-survival to related projects (#19728)
pick fe897c0 DOC Move Sacred to "Experimentation frameworks" (#19730)
pick 266400e DOC Fix doc regarding required_parameters (#19725)
drop 0892a98 Stratified Group KFold implementation (#18649)
drop 3e45aee TST Remove assert warn from preprocessing tests (#19691)
pick 97bfa92 DOC Update broken link in conftest.py (#19736)
pick e377d85 DOC Fix doc for single linkage in feature agglomeration (#19715)
pick 40f2dd1 DOC Fix typo in KDE metric docstring default value (#19735)
pick 1db2681 DOC Fix load iris datasets (#19729)
pick 8110214 DOC Fixed typo in cross_val_predict docstring (#19739)
drop c854b83 [MRG] Linear One-Class SVM using SGD implementation (#10027)
pick 3e64e9e DOC Clarified n_jobs parallelization in plot_partial_dependence (#19750)
drop cf296c7 ENH Checks n_features_in after fitting in mixture (#19540)
drop 5788d4a MAINT Improve issue template (#19704)
drop df3f1bd FIX Adds check_array to inverse_transform of StandardScaler (#19356)
drop 114616d TST Replace assert_warns in covariance/tests (#19757)
pick 4dfdfb4 DOC Fix typo in Truncated SVD documentation (#19765)
pick 80f923e ENH num_features for a 1d collection of dicts is undefined (#19740)
drop 54ff7b7 Test and doc for n_features_in for sklearn.calibration (#19555)
drop 57d3668 MNT Avoid catastrophic cancellation in mean_variance_axis (#19766)
drop c9c89cf ENH Adds support for drop + handle_unknown=ignore in the OneHotEncoder (#19041)
drop 108dd7b TST Changes assert to pytest style in tests/test_naive_bayes.py (#19768)
drop bc7cd31 ENH more efficient num_combinations calculation in PolynomialFeatures (#19734)
pick a9ae693 FIX Approximate nearest neighbors in TSNE example (#19809)
drop 309f135 MNT Remove HistGradientBoosting from experimental (#19799)
drop 26e688d ENH Record output of transformers in ColumnTransformer (#18393)
drop f057639 DOC Adds version added to output_indices in ColumnTransformer (#19815)
pick 26b6f60 DOC Use the canonical Wikipedia link (#19819)
drop f479269 DOC Fix order of whatsnew entries (#19822)
drop 1411232 API Adds predict_params for Pipeline proba delegates (#19790)
drop c957eb3 FIX Ignore zero sample weights in precision recall curve (#18328)
drop aa1fba9 MNT Improve Nearest Neighbor documentation + code consistency (#19793)
pick 2b505bf Add APHP to the Consortium sponsors (#19823)
pick 877c6e6 DOC Fixes style for versionadded (#19817)
drop 9cfacf1 DEP Deprecate 'normalize' in ridge models (#17772)
drop 3d7fbda CI Add a check for milestones. (#19833)
drop 36c635b CI Fix string comparison in milestone workflow (#19840)
drop 4b53fc3 CI Removes check milestone (#19843)
drop 246795f TST Fixes test_partial_fit_oneclass (#19814)
pick dff37c4 DOC Fix incorrect 0-1 scaling in the RBM example (#19363)
drop 1ce1715 TST Add a test for meta-estimators with non tabular data (#19755)
drop ee524f4 ENH Improve the creation of KDTree and BallTree on their worst-case time complexity (#19473)
drop 132627e FIX Let ColumnTransformer.get_feature_names handle transformers with non-string feature names (#18459)
drop 1f91b87 TST Remove redundant max iter in sklearn/linear_model/tests (#14622)
pick d88ffab DOC Update attribute docstrings in _multilayer_perceptron.py (#19595)
pick a80b99c DOC Fix versionchanged/versionadded in OneHotEncoder (#16562)
pick 734ae1f DOC add explicit message regarding shuffling in default CV (#19776)
drop b8903da ENH Adds final_estimator in html repr for Stacking* (#19564)
drop a44653f TST Changes assert to pytest style in test_config.py and test_kernel_approximation.py (#19845)
drop 02e2a11 TST replace assert_raises by pytest.raises in test_least_angle, test_omp, test_test_theil_sen (#19406)
drop 80e985b TST Changes assert to pytest style in test_random_projection.py (#19846)
pick da3c2d2 FIX MultiOutputRegressor correctly ducktypes fitted estimators (#19308)
pick 7d728d3 FIX missing space in import in svm/_base.py (#19852)
drop 3ff1267 FIX allows TransformedTargetRegressor to take nD target (#18898)
pick b1d686d DOC Fixed typo in clustering.rst (#19863)
pick f1018c6 FIX BaseSuccessiveHalving class groups support (#19847)
drop 7b343dd CLN Improve doc/error consistency for GaussianProcessRegressor (#19687)
drop e56d76a FIX Removes unecessary check in _BaseChain (#19865)
pick c09c654 DOC Fix typo in common_pitfalls.rst (#19867)
pick c59a310 DOC Fix typos plot_column_transformer_mixed_types.py (#19871)
pick 926633c Update who may propose a new triage member. (#19870)
pick 767fd63 DOC make documentation consistent regarding types in encoders.py (#19876)
drop 8a3939a FIX Error for sparse matrix in OrdinalEncoder.inverse_transform (#19879)
drop bbdd3bb CI Add label on PRs modifying Cython code (#19850)
drop ab65c8b TST Changes assert to pytest style in tests/test_isotonic.py (#19864)
pick 7fa2e6e DOC Clarify documentation for spectral clustering (#19795)
pick 872052b FIX convert cv_results values to numpy array in SuccessiveHalving (#19211)
drop 684b7d1 FIX detect near constant feature in StandardScaler and linear models (#19788)
drop 138da7e MNT Use const memory views in DistanceMetric subclasses (#19883)
drop 8c4589b ENH Scalable MiniBatchKMeans plus cln / fixes / refactoring (#17622)
drop 2c5ea4e DictionaryLearning: Fix several issues in the dict update (#19198)
pick 962bd9a DOC Adds consistence in docs for univariate selection metrics (#19904)
pick 90b3992 DOC Fix the description of some features in load_diabetes (#19366)
pick e1f879e DOC add FAQ entry for the many linear model classes (#19861)
pick 9605f3b DOC Fixes links in outlier_detection.html (#19917)
pick 5d8796b FIX Fixes unknown handling for str dtypes in OrdinalEncoder.transform (#19888)
drop 66ec10f MAINT Clean up code in FastICA (#19796)
pick 969ec32 DOC fix early stopping description in MLP (#19818)
pick 73e8b7d DOC use math mode in r2_score function (#19921)
drop 5efcb10 MAINT Vendors packaging/version.py for pep440 versioning (#19826)
pick 0df9efe DOC Fixes typo in doc/modules/cross_validation.rst (#19925)
drop dd7b7e5 MAINT Remove
get_memview_*helpers inneighbours.BinaryTree(#19893)pick 9b7ff27 DOC improve learning-rate AdaBoost estimator (#19919)
pick 9099c79 EXA Fix plot_map_data_to_normal.py example legend (#19930)
drop ce217db FIX Fixes memory view bug in distance metrics (#19933)
drop 7ddd6e5 KBinsDiscretizer efficiency improvement to 'kmeans' strategy (#19934)
pick 1a601c0 DOC Remove misleading "linear kernel" statements (#19937)
pick 4946bfc FIX fix a bug in KernelPCA.inverse_transform (#19732)
pick 0bd7ced ENH Enrich docstring on
inverse_transformofKernelPCA(#19910)pick 004b44d FIX OneHotEncoder.fit no longer alters the drop parameter (#19924)
drop d5ebdca [MRG] Refactor
feature_selection.f_regressionand introducefeature_selection.r_regression(#17169)pick b84afe5 FIX prevent division by zero with constant target in GPR (#19703)
pick a67b284 FIX Encoder should accept categories having dtype='S' (#19727)
pick dbed806 FIX Fixes regression in CCA due to change of cutoff values in SciPy (#19646)
pick efc703c DOC order whats new 0.24.2