8^jK hddlZddlmZddlmZmZmZmZmZddl m Z m Z eeegdgdddddddd eeggd dd d gdddd gZ ejejejej ej"gd d dgdddddd ejejejej ej"gd gddddddj%dj'd gZej*j-de e dZej*j-dee dZy)N)metrics)BaggingClassifierBaggingRegressorIsolationForestStackingClassifierStackingRegressor)assert_docstring_consistencyskip_if_no_numpydoc max_samplesFz4The number of samples to draw from X to train each.*) objectsinclude_paramsexclude_params include_attrs exclude_attrsinclude_returnsexclude_returnsdescr_regex_pattern ignore_types)cvn_jobs passthroughverboseTfinal_estimator_)r r rrrrrraverage zero_division a/This parameter is required for multiclass/multilabel targets\. If ``None``, the metrics for each class are returned\. Otherwise, this determines the type of averaging performed on the data: ``'binary'``: Only report results for the class specified by ``pos_label``\. This is applicable only if targets \(``y_\{true,pred\}``\) are binary\. ``'micro'``: Calculate metrics globally by counting the total true positives, false negatives and false positives\. ``'macro'``: Calculate metrics for each label, and find their unweighted mean\. This does not take label imbalance into account\. ``'weighted'``: Calculate metrics for each label, and find their average weighted by support \(the number of true instances for each label\)\. This alters 'macro' to account for label imbalance; it can result in an F-score that is not between precision and recall\.[\s\w]*\.* ``'samples'``: Calculate metrics for each instance, and find their average \(only meaningful for multilabel classification where this differs from :func:`accuracy_score`\)\.casectdi|y)z@Check docstrings parameters consistency between related classes.Nr rs ~/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/sklearn/tests/test_docstring_parameters_consistency.py test_class_docstring_consistencyr#f!(4(ctdi|y)zBCheck docstrings parameters consistency between related functions.Nrr r!s r"#test_function_docstring_consistencyr'mr$r%)pytestsklearnrsklearn.ensemblerrrrrsklearn.utils._testingr r !CLASS_DOCSTRING_CONSISTENCY_CASESprecision_recall_fscore_supportf1_score fbeta_scoreprecision_score recall_scorejoinsplit$FUNCTION_DOCSTRING_CONSISTENCY_CASESmark parametrizer#r'rr%r"r7sU&'7I(/ V& '(9:D,- # %!6  3 3        # #   $o6 #$  3 3        # #   %+ "xx..eg3 )#;($|!BC)D) !EF)G)r%