py-scikit-learn: updated to 1.2.2

Version 1.2.2

Changelog

sklearn.base
Fix When set_output(transform="pandas"), base.TransformerMixin maintains the index if the transform output is already a DataFrame.
sklearn.calibration
Fix A deprecation warning is raised when using the base_estimator__ prefix to set parameters of the estimator used in calibration.CalibratedClassifierCV.
sklearn.cluster
Fix Fixed a bug in cluster.BisectingKMeans, preventing fit to randomly fail due to a permutation of the labels when running multiple inits.
sklearn.compose
Fix Fixes a bug in compose.ColumnTransformer which now supports empty selection of columns when set_output(transform="pandas").
sklearn.ensemble
Fix A deprecation warning is raised when using the base_estimator__ prefix to set parameters of the estimator used in ensemble.AdaBoostClassifier, ensemble.AdaBoostRegressor, ensemble.BaggingClassifier, and ensemble.BaggingRegressor.
sklearn.feature_selection
Fix Fixed a regression where a negative tol would not be accepted any more by feature_selection.SequentialFeatureSelector.
sklearn.inspection
Fix Raise a more informative error message in inspection.partial_dependence when dealing with mixed data type categories that cannot be sorted by numpy.unique. This problem usually happen when categories are str and missing values are present using np.nan.
sklearn.isotonic
Fix Fixes a bug in isotonic.IsotonicRegression where isotonic.IsotonicRegression.predict would return a pandas DataFrame when the global configuration sets transform_output="pandas".
sklearn.preprocessing
Fix preprocessing.OneHotEncoder.drop_idx_ now properly references the dropped category in the categories_ attribute when there are infrequent categories.
Fix preprocessing.OrdinalEncoder now correctly supports encoded_missing_value or unknown_value set to a categories’ cardinality when there is missing values in the training data.
sklearn.tree
Fix Fixed a regression in tree.DecisionTreeClassifier, tree.DecisionTreeRegressor, tree.ExtraTreeClassifier and tree.ExtraTreeRegressor where an error was no longer raised in version 1.2 when min_sample_split=1.
sklearn.utils
Fix Fixes a bug in utils.check_array which now correctly performs non-finite validation with the Array API specification.
Fix utils.multiclass.type_of_target can identify pandas nullable data types as classification targets.

(adam)