* MAINT Clean deprecated losses in (hist) gradient boosting for 1.3 (scikit-learn#25834)

* MAINT Clean deprecation of normalize in calibration_curve for 1.3 (scikit-learn#25833)

* BLD Clean command removes generated from cython templates (scikit-learn#25839)

* PERF Implement `PairwiseDistancesReduction` backend for `KNeighbors.predict_proba` (scikit-learn#24076)

Signed-off-by: Julien Jerphanion <[email protected]>
Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>

* MAINT Added Parameter Validation for datasets.make_circles (scikit-learn#25848)

Co-authored-by: jeremiedbb <[email protected]>

* MNT use a single job by default with sphinx build (scikit-learn#25836)

* BLD Generate warning automatically for templated cython files (scikit-learn#25842)

* MAINT parameter validation for sklearn.datasets.fetch_lfw_people (scikit-learn#25820)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameters validation for metrics.fbeta_score (scikit-learn#25841)

* TST add global_random_seed fixture to sklearn/covariance/tests/test_robust_covariance.py (scikit-learn#25821)

* MAINT Parameter validation for linear_model.orthogonal_mp (scikit-learn#25817)

* TST activate common tests for TSNE (scikit-learn#25374)

* CI Update lock files (scikit-learn#25849)

* MAINT Added Parameter Validation for metrics.mean_gamma_deviance (scikit-learn#25853)

* MAINT Parameters validation for feature_selection.mutual_info_regression (scikit-learn#25850)

* MAINT parameter validation metrics.class_likelihood_ratios (scikit-learn#25863)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Ensure disjoint interval constraints (scikit-learn#25797)

* MAINT Parameters validation for utils.gen_batches (scikit-learn#25864)

* TST use global_random_seed in test_dict_vectorizer.py (scikit-learn#24533)

* TST use global_random_seed in test_pls.py (scikit-learn#24526)

Co-authored-by: jeremiedbb <[email protected]>

* TST use global_random_seed in test_gpc.py (scikit-learn#24600)

Co-authored-by: jeremiedbb <[email protected]>

* DOC Fix overlapping plot axis in bench_sample_without_replacement.py (scikit-learn#25870)

* MAINT Use contiguous memoryviews in _random.pyx (scikit-learn#25871)

* MAINT parameter validation sklearn.datasets.fetch_lfw_pair (scikit-learn#25857)

* MAINT Parameters validation for metrics.classification_report (scikit-learn#25868)

* Empty commit

* DOC fix docstring dtype parameter in OrdinalEncoder (scikit-learn#25877)

* MAINT Clean up depreacted "log" loss of SGDClassifier for 1.3 (scikit-learn#25865)

* ENH Adds TargetEncoder (scikit-learn#25334)

Co-authored-by: Andreas Mueller <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Jovan Stojanovic <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>

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* MAINT Clean-up deprecated if_delegate_has_method for 1.3 (scikit-learn#25879)

* MAINT Parameter validation for tree.export_text (scikit-learn#25867)

* DOC impact of `tol` for solvers in RidgeClassifier (scikit-learn#25530)

* MAINT Parameters validation for metrics.hinge_loss (scikit-learn#25880)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for metrics.ndcg_score (scikit-learn#25885)

* ENH KMeans initialization account for sample weights (scikit-learn#25752)

Co-authored-by: jeremiedbb <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>

* TST use global_random_seed in sklearn/tests/test_dummy.py (scikit-learn#25884)

* DOC improve calibration user guide (scikit-learn#25687)

* ENH Support for sparse matrices added to `sklearn.metrics.silhouette_samples` (scikit-learn#24677)

Co-authored-by: Sahil Gupta <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>

* MAINT validate_params for plot_tree (scikit-learn#25882)

Co-authored-by: Itay <[email protected]>

* MAINT add missing space in error message in SVM (scikit-learn#25913)

* FIX Adds requires_y tag to TargetEncoder (scikit-learn#25917)

* MAINT Consistent cython types continued (scikit-learn#25810)

* TST Speed-up common tests of DictionaryLearning (scikit-learn#25892)

* TST Speed-up test_dbscan_optics_parity (scikit-learn#25893)

* ENH add np.nan option for zero_division in precision/recall/f-score (scikit-learn#25531)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* MAINT Parameters validation for datasets.make_low_rank_matrix (scikit-learn#25901)

* MAINT Parameter validation for metrics.cluster.adjusted_mutual_info_score (scikit-learn#25898)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* TST Speed-up test_partial_dependence.test_output_shape (scikit-learn#25895)

Co-authored-by: Thomas J. Fan <[email protected]>

* MAINT Parameters validation for datasets.make_regression (scikit-learn#25899)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for metrics.mean_squared_log_error (scikit-learn#25924)

* TST Use global_random_seed in tests/test_naive_bayes.py (scikit-learn#25890)

* TST add global_random_seed fixture to sklearn/datasets/tests/test_covtype.py (scikit-learn#25904)

Co-authored-by: Jérémie du Boisberranger <[email protected]>
Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameters validation for datasets.make_multilabel_classification (scikit-learn#25920)

* Fixed feature mapping typo (scikit-learn#25934)

* MAINT switch to newer codecov uploader (scikit-learn#25919)

Co-authored-by: Loïc Estève <[email protected]>

* TST Speed-up test suite when using pytest-xdist (scikit-learn#25918)

* DOC update license year to 2023 (scikit-learn#25936)

* FIX Remove spurious feature names warning in IsolationForest (scikit-learn#25931)

* TST fix unstable test_newrand_set_seed (scikit-learn#25940)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Clean-up deprecated max_features="auto" in trees/forests/gb (scikit-learn#25941)

* MAINT LogisticRegression informative error msg when penaly=elasticnet and l1_ratio is None (scikit-learn#25925)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Clean-up remaining SGDClassifier(loss="log") (scikit-learn#25938)

* FIX Fixes pandas extension arrays in check_array (scikit-learn#25813)

* FIX Fixes pandas extension arrays with objects in check_array (scikit-learn#25814)

* CI Disable pytest-xdist in pylatest_pip_openblas_pandas build (scikit-learn#25943)

* MAINT remove deprecated call to resources.content (scikit-learn#25951)

* DOC note on calibration impact on ranking (scikit-learn#25900)

* Remove loguniform fix, use scipy.stats instead (scikit-learn#24665)

Co-authored-by: Olivier Grisel <[email protected]>

* MAINT Fix broken links in cluster.dbscan module (scikit-learn#25958)

* DOC Fix lars Xy shape (scikit-learn#25952)

* ENH Add drop_intermediate parameter to metrics.precision_recall_curve (scikit-learn#24668)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* FIX improve error message when computing NDCG with a single document (scikit-learn#25672)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* MAINT introduce _get_response_values and _check_response_methods (scikit-learn#23073)

Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Extend message for large sparse matrices support (scikit-learn#25961)

Co-authored-by: Meekail Zain <[email protected]>

* MAINT Parameters validation for datasets.make_gaussian_quantiles (scikit-learn#25959)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.d2_tweedie_score (scikit-learn#25975)

* MAINT Parameters validation for datasets.make_hastie_10_2 (scikit-learn#25967)

* MAINT Parameters validation for preprocessing.minmax_scale (scikit-learn#25962)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for datasets.make_checkerboard (scikit-learn#25955)

* MAINT Parameters validation for datasets.make_biclusters (scikit-learn#25945)

* MAINT Parameters validation for datasets.make_moons (scikit-learn#25971)

* DOC replace deviance by loss in docstring of GradientBoosting (scikit-learn#25968)

* MAINT Fix broken link in feature_selection/_univariate_selection.py (scikit-learn#25984)

* DOC Update model_persistence.rst to fix skops example (scikit-learn#25993)

Co-authored-by: adrinjalali <[email protected]>

* DOC Specified meaning for max_patches=None in extract_patches_2d  (scikit-learn#25996)

* DOC document that last step is never cached in pipeline (scikit-learn#25995)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* FIX SequentialFeatureSelector throws IndexError when cv is a generator (scikit-learn#25973)

* ENH Adds infrequent categories support to OrdinalEncoder (scikit-learn#25677)

Co-authored-by: Tim Head <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Andreas Mueller <[email protected]>

* MAINT make plot_digits_denoising deterministic by fixing random state (scikit-learn#26004)

* DOC improve example of PatchExtractor (scikit-learn#26002)

* MAINT Parameters validation for datasets.make_friedman2 (scikit-learn#25986)

* MAINT Parameters validation for datasets.make_friedman3 (scikit-learn#25989)

* MAINT Parameters validation for datasets.make_sparse_uncorrelated (scikit-learn#26001)

* MAINT Parameters validation for datasets.make_spd_matrix (scikit-learn#26003)

* MAINT Parameters validation for datasets.make_sparse_spd_matrix (scikit-learn#26009)

* DOC Added the meanings of default=None for PatchExtractor parameters (scikit-learn#26005)

* MAINT remove unecessary check covered by parameter validation framework (scikit-learn#26014)

* MAINT Consistent cython types from _typedefs (scikit-learn#25942)

Co-authored-by: Julien Jerphanion <[email protected]>

* MAINT Parameters validation for datasets.make_swiss_roll (scikit-learn#26020)

* MAINT Parameters validation for datasets.make_s_curve (scikit-learn#26022)

* MAINT Parameters validation for datasets.make_blobs (scikit-learn#25983)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* DOC fix SplineTransformer include_bias docstring (scikit-learn#26018)

* ENH RocCurveDisplay add option to plot chance level (scikit-learn#25987)

* DOC show from_estimator and from_predictions for Displays (scikit-learn#25994)

* EXA Fix rst in plot_partial_dependence (scikit-learn#26028)

* CI Adds coverage to docker jobs on Azure (scikit-learn#26027)

Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>

* API Replace `n_iter` in `Bayesian Ridge` and `ARDRegression` (scikit-learn#25697)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* CLN Make _NumPyAPIWrapper naming consistent to _ArrayAPIWrapper (scikit-learn#26039)

* CI disable coverage on Windows to keep CI times reasonable (scikit-learn#26052)

* DOC Use Scientific Python Plausible instance for analytics (scikit-learn#25547)

* MAINT Parameters validation for sklearn.preprocessing.scale (scikit-learn#26036)

* MAINT Parameters validation for sklearn.metrics.pairwise.haversine_distances (scikit-learn#26047)

* MAINT Parameters validation for sklearn.metrics.pairwise.laplacian_kernel (scikit-learn#26048)

* MAINT Parameters validation for sklearn.metrics.pairwise.linear_kernel (scikit-learn#26049)

* MAINT Parameters validation for sklearn.metrics.silhouette_samples (scikit-learn#26053)

* MAINT Parameters validation for sklearn.preprocessing.add_dummy_feature (scikit-learn#26058)

* Added Parameter Validation for metrics.cluster.normalized_mutual_info_score() (scikit-learn#26060)

* DOC Typos in HistGradientBoosting documentation (scikit-learn#26057)

* TST add global_random_seed fixture to sklearn/datasets/tests/test_rcv1.py (scikit-learn#26043)

* MAINT Parameters validation for sklearn.metrics.pairwise.cosine_similarity (scikit-learn#26006)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* ENH Adds isdtype to Array API wrapper (scikit-learn#26029)

* MAINT Parameters validation for sklearn.metrics.silhouette_score (scikit-learn#26054)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* FIX fix spelling mistake in _NumPyAPIWrapper (scikit-learn#26064)

* CI ignore more non-library Python files in codecov (scikit-learn#26059)

* MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances (scikit-learn#26046)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Introduce BinaryClassifierCurveDisplayMixin (scikit-learn#25969)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* ENH Forces shape to be tuple when using Array API's reshape (scikit-learn#26030)

Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Tim Head <[email protected]>

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_euclidean_distances (scikit-learn#26073)

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_manhattan_distances (scikit-learn#26074)

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_cosine_distances (scikit-learn#26075)

* MAINT Parameters validation for sklearn.preprocessing.binarize (scikit-learn#26076)

* MAINT Parameters validation for metrics.explained_variance_score (scikit-learn#26079)

* DOC use correct template name for displays (scikit-learn#26081)

* MAINT Parameters validation for sklearn.preprocessing.maxabs_scale (scikit-learn#26077)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.preprocessing.label_binarize (scikit-learn#26078)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT parameter validation for d2_absolute_error_score (scikit-learn#26066)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameter validation for roc_auc_score (scikit-learn#26007)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameters validation for sklearn.preprocessing.normalize (scikit-learn#26069)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameter validation for metrics.cluster.fowlkes_mallows_score (scikit-learn#26080)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameters validation for compose.make_column_transformer (scikit-learn#25897)

Co-authored-by: jeremiedbb <[email protected]>

* MAINT Parameters validation for sklearn.metrics.pairwise.polynomial_kernel (scikit-learn#26070)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.pairwise.rbf_kernel (scikit-learn#26071)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.pairwise.sigmoid_kernel (scikit-learn#26072)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Param validation: constraint for numeric missing values (scikit-learn#26085)

* FIX Adds support for negative values in categorical features in gradient boosting (scikit-learn#25629)

Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Tim Head <[email protected]>

* MAINT Fix C warning in Cython module splitting.pyx (scikit-learn#26051)

* MNT Updates _isotonic.pyx to use memoryviews instead of `cnp.ndarray` (scikit-learn#26068)

* FIX Fixes memory regression for inspecting extension arrays (scikit-learn#26106)

* PERF set openmp to use only physical cores by default (scikit-learn#26082)

* MNT Update black to 23.3.0 (scikit-learn#26110)

* MNT Adds black commit to git-blame-ignore-revs (scikit-learn#26111)

* MAINT Parameters validation for sklearn.metrics.pair_confusion_matrix (scikit-learn#26107)

* MAINT Parameters validation for sklearn.metrics.mean_poisson_deviance (scikit-learn#26104)

* DOC Use notebook style in plot_lof_outlier_detection.py (scikit-learn#26017)

Co-authored-by: Jérémie du Boisberranger <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>

* MAINT utils._fast_dict uses types from utils._typedefs (scikit-learn#26025)

* DOC remove sparse-matrix for `y` in ElasticNet (scikit-learn#26127)

* ENH add exponential loss (scikit-learn#25965)

* MAINT Parameters validation for sklearn.preprocessing.robust_scale (scikit-learn#26086)

* MAINT Parameters validation for sklearn.datasets.fetch_rcv1 (scikit-learn#26126)

* MAINT Parameters validation for sklearn.metrics.adjusted_rand_score (scikit-learn#26134)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.calinski_harabasz_score  (scikit-learn#26135)

* MAINT Parameters validation for sklearn.metrics.davies_bouldin_score  (scikit-learn#26136)

* MAINT: remove `from numpy.math cimport` statements (scikit-learn#26143)

* MAINT Parameters validation for sklearn.inspection.permutation_importance (scikit-learn#26145)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.cluster.homogeneity_completeness_v_measure (scikit-learn#26137)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.rand_score (scikit-learn#26138)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* DOC update comment in metrics/tests/test_classification.py (scikit-learn#26150)

* CI small cleanup of Cirrus CI test script (scikit-learn#26168)

* MAINT remove deprecated is_categorical_dtype (scikit-learn#26156)

* DOC Add skforecast to related projects page (scikit-learn#26133)

Co-authored-by: Thomas J. Fan <[email protected]>

* FIX Keeps namedtuple's class when transform returns a tuple (scikit-learn#26121)

* DOC corrected letter case for better readability in sklearn/metrics/_classification.py / (scikit-learn#26169)

* MAINT Parameters validation for sklearn.preprocessing.power_transform (scikit-learn#26142)

* FIX `roc_auc_score` now uses `y_prob` instead of `y_pred` (scikit-learn#26155)

* MAINT Parameters validation for sklearn.datasets.load_iris (scikit-learn#26177)

* MAINT Parameters validation for sklearn.datasets.load_diabetes (scikit-learn#26166)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.datasets.load_breast_cancer (scikit-learn#26165)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.metrics.cluster.entropy (scikit-learn#26162)

* MAINT Parameters validation for sklearn.datasets.fetch_species_distributions (scikit-learn#26161)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* ASV Fix tol in SGDRegressorBenchmark (scikit-learn#26146)

Co-authored-by: jeremie du boisberranger <[email protected]>

* MNT use api.openml.org URLs for fetch_openml (scikit-learn#26171)

* MAINT Parameters validation for sklearn.utils.resample (scikit-learn#26139)

* MAINT make it explicit that additive_chi2_kernel does not accept sparse matrix (scikit-learn#26178)

* MNT fix circleci link in README.rst (scikit-learn#26183)

* CI Fix circleci artifact redirector action (scikit-learn#26181)

* GOV introduce rights for groups as discussed in SLEP019 (scikit-learn#25753)

Co-authored-by: Julien <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>

* MAINT Parameters validation for sklearn.neighbors.sort_graph_by_row_values (scikit-learn#26173)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* FIX improve convergence criterion for LogisticRegression(penalty="l1", solver='liblinear') (scikit-learn#25214)

Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>

* MAINT Fix several typos in src and doc files (scikit-learn#26187)

* PERF fix overhead of _rescale_data in LinearRegression (scikit-learn#26207)

* ENH add Huber loss (scikit-learn#25966)

* MAINT Refactor GraphicalLasso and graphical_lasso (scikit-learn#26033)

Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Cython linting (scikit-learn#25861)

* DOC Add JupyterLite button in example gallery (scikit-learn#25887)

* MAINT Parameters validation for sklearn.covariance.ledoit_wolf_shrinkage (scikit-learn#26200)

* MAINT Parameters validation for sklearn.datasets.load_linnerud (scikit-learn#26199)

* MAINT Parameters validation for sklearn.datasets.load_wine (scikit-learn#26196)

* DOC Added redirect to Provost paper + minor refactor (scikit-learn#26223)

* MAINT Parameter Validation for `covariance.graphical_lasso` (scikit-learn#25053)

Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.datasets.load_digits (scikit-learn#26195)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.preprocessing.quantile_transform (scikit-learn#26144)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.model_selection.cross_validate (scikit-learn#26129)

Co-authored-by: jeremiedbb <[email protected]>

* DOC Adds TargetEncoder example explaining the internal CV (scikit-learn#26185)

Co-authored-by: Tim Head <[email protected]>

* spelling mistake corrected in documentation for script `plot_document_clustering.py` (scikit-learn#26228)

Co-authored-by: Olivier Grisel <[email protected]>

* FIX possible UnboundLocalError in fetch_openml (scikit-learn#26236)

* ENH Adds PyTorch support to LinearDiscriminantAnalysis (scikit-learn#25956)

Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Tim Head <[email protected]>

* MNT Use fixed version of Pyodide (scikit-learn#26247)

* MNT Reset transform_output default in example to fix doc build build (scikit-learn#26269)

* DOC Update example plot_nearest_centroid.py (scikit-learn#26263)

* MNT reduce JupyterLite build size (scikit-learn#26246)

* DOC term -> meth in GradientBoosting (scikit-learn#26225)

* MNT speed-up html-noplot build (scikit-learn#26245)

Co-authored-by: Thomas J. Fan <[email protected]>

* MNT Use copy=False when creating DataFrames (scikit-learn#26272)

* MAINT Parameters validation for sklearn.model_selection.permutation_test_score (scikit-learn#26230)

* MAINT Parameters validation for sklearn.datasets.clear_data_home (scikit-learn#26259)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.datasets.load_files (scikit-learn#26203)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.datasets.get_data_home (scikit-learn#26260)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* DOC Fix y-axis plot labels in permutation test score example (scikit-learn#26240)

* MAINT cython-lint ignores asv_benchmarks (scikit-learn#26282)

* MAINT Parameter validation for metrics.cluster._supervised (scikit-learn#26258)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* DOC Improve docstring for tol in SequentialFeatureSelector (scikit-learn#26271)

* MAINT Parameters validation for  sklearn.datasets.load_sample_image (scikit-learn#26226)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* DOC Consistent param type for pos_label (scikit-learn#26237)

* DOC Minor grammar fix to imputation docs (scikit-learn#26283)

* MAINT Parameters validation for sklearn.calibration.calibration_curve (scikit-learn#26198)

Co-authored-by: jeremie du boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.inspection.partial_dependence (scikit-learn#26209)

Co-authored-by: jeremie du boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.model_selection.validation_curve (scikit-learn#26229)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MAINT Parameters validation for sklearn.model_selection.learning_curve (scikit-learn#26227)

Co-authored-by: jeremie du boisberranger <[email protected]>

* MNT Remove deprecated pandas.api.types.is_sparse (scikit-learn#26287)

* CI Use Trusted Publishers for uploading wheels to PyPI (scikit-learn#26249)

* MAINT Parameters validation for sklearn.metrics.pairwise.manhattan_distances (scikit-learn#26122)

* PERF revert openmp use in csr_row_norms (scikit-learn#26275)

* MAINT Parameters validation for metrics.check_scoring (scikit-learn#26041)

Co-authored-by: Jérémie du Boisberranger <[email protected]>

* MNT Improve error message when checking classification target is of a non-regression type (scikit-learn#26281)

Co-authored-by: Adrin Jalali <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>

* DOC fix link to User Guide encoder_infrequent_categories (scikit-learn#26309)

* MNT remove unused args in _predict_regression_tree_inplace_fast_dense (scikit-learn#26314)

* ENH Adds missing value support for trees (scikit-learn#23595)

Co-authored-by: Tim Head <[email protected]>
Co-authored-by: Julien Jerphanion <[email protected]>

* CLN Clean up logic in validate_data and cast_to_ndarray (scikit-learn#26300)

* MAINT refactor scorer using _get_response_values (scikit-learn#26037)

Co-authored-by: Jérémie du Boisberranger <[email protected]>
Co-authored-by: Adrin Jalali <[email protected]>

* DOC Add HGBDT to "see also" section of random forests (scikit-learn#26319)

Co-authored-by: ArturoAmorQ <[email protected]>
Co-authored-by: Tim Head <[email protected]>

* MNT Bump Github Action labeler version to use newer Node (scikit-learn#26302)

* FIX thresholds should not exceed 1.0 with probabilities in `roc_curve`  (scikit-learn#26194)

Co-authored-by: Olivier Grisel <[email protected]>

* ENH Allow for appropriate dtype us in `preprocessing.PolynomialFeatures` for sparse matrices (scikit-learn#23731)

Co-authored-by: Aleksandr Kokhaniukov <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>

* DOC Fix minor typo (scikit-learn#26327)

* MAINT bump minimum version for pytest (scikit-learn#26184)

Co-authored-by: Loïc Estève <[email protected]>
Co-authored-by: Adrin Jalali <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>

* DOC fix return type in isotonic_regression (scikit-learn#26332)

* FIX fix available_if for MultiOutputRegressor.partial_fit (scikit-learn#26333)

Co-authored-by: Guillaume Lemaitre <[email protected]>

* FIX make pipeline pass check_estimator (scikit-learn#26325)

* FEA Add multiclass support to `average_precision_score` (scikit-learn#24769)

Co-authored-by: Geoffrey <[email protected]>
Co-authored-by: gbolmier <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>

---------

Signed-off-by: Julien Jerphanion <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]>
Co-authored-by: Meekail Zain <[email protected]>
Co-authored-by: Julien Jerphanion <[email protected]>
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: zeeshan lone <[email protected]>
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Co-authored-by: Maren Westermann <[email protected]>
Co-authored-by: Nishu Choudhary <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Loïc Estève <[email protected]>
Co-authored-by: Benedek Harsanyi <[email protected]>
Co-authored-by: Pooja Subramaniam <[email protected]>
Co-authored-by: Rushil Desai <[email protected]>
Co-authored-by: Xiao Yuan <[email protected]>
Co-authored-by: Omar Salman <[email protected]>
Co-authored-by: 2357juan <[email protected]>
Co-authored-by: Théophile Baranger <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Andreas Mueller <[email protected]>
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Co-authored-by: Sortofamudkip <[email protected]>
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Co-authored-by: Christian Lorentzen <[email protected]>
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Co-authored-by: Sahil Gupta <[email protected]>
Co-authored-by: Veghit <[email protected]>
Co-authored-by: Itay <[email protected]>
Co-authored-by: precondition <[email protected]>
Co-authored-by: Marc Torrellas Socastro <[email protected]>
Co-authored-by: Dominic Fox <[email protected]>
Co-authored-by: futurewarning <[email protected]>
Co-authored-by: Yao Xiao <[email protected]>
Co-authored-by: Joey Ortiz <[email protected]>
Co-authored-by: Tim Head <[email protected]>
Co-authored-by: Christian Veenhuis <[email protected]>
Co-authored-by: adienes <[email protected]>
Co-authored-by: Dave Berenbaum <[email protected]>
Co-authored-by: Lene Preuss <[email protected]>
Co-authored-by: A.H.Mansouri <[email protected]>
Co-authored-by: Boris Feld <[email protected]>
Co-authored-by: Carla J <[email protected]>
Co-authored-by: windiana42 <[email protected]>
Co-authored-by: mdarii <[email protected]>
Co-authored-by: murezzda <[email protected]>
Co-authored-by: Peter Piontek <[email protected]>
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Co-authored-by: Dmitry Nesterov <[email protected]>
Co-authored-by: Yuchen Zhou <[email protected]>
Co-authored-by: Ekaterina Butyugina <[email protected]>
Co-authored-by: Jiawei Zhang <[email protected]>
Co-authored-by: Ansam Zedan <[email protected]>
Co-authored-by: genvalen <[email protected]>
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Co-authored-by: Arturo Amor <[email protected]>
Co-authored-by: Jiawei Zhang <[email protected]>
Co-authored-by: Ralf Gommers <[email protected]>
Co-authored-by: Jessicakk0711 <[email protected]>
Co-authored-by: Ankur Singh <[email protected]>
Co-authored-by: Seoeun(Sun☀️) Hong <[email protected]>
Co-authored-by: Nightwalkx <[email protected]>
Co-authored-by: VIGNESH D <[email protected]>
Co-authored-by: Vincent-violet <[email protected]>
Co-authored-by: Elabonga Atuo <[email protected]>
Co-authored-by: Tom Dupré la Tour <[email protected]>
Co-authored-by: André Pedersen <[email protected]>
Co-authored-by: Ashish Dutt <[email protected]>
Co-authored-by: Phil <[email protected]>
Co-authored-by: Stanislav (Stanley) Modrak <[email protected]>
Co-authored-by: hujiahong726 <[email protected]>
Co-authored-by: James Dean <[email protected]>
Co-authored-by: ArturoAmorQ <[email protected]>
Co-authored-by: Aleksandr Kokhaniukov <[email protected]>
Co-authored-by: c-git <[email protected]>
Co-authored-by: annegnx <[email protected]>
Co-authored-by: Geoffrey <[email protected]>
Co-authored-by: gbolmier <[email protected]>