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venv/Lib/site-packages/sklearn/metrics/__init__.py

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+"""
+The :mod:`sklearn.metrics` module includes score functions, performance metrics
+and pairwise metrics and distance computations.
+"""
+
+
+from ._ranking import auc
+from ._ranking import average_precision_score
+from ._ranking import coverage_error
+from ._ranking import dcg_score
+from ._ranking import label_ranking_average_precision_score
+from ._ranking import label_ranking_loss
+from ._ranking import ndcg_score
+from ._ranking import precision_recall_curve
+from ._ranking import roc_auc_score
+from ._ranking import roc_curve
+
+from ._classification import accuracy_score
+from ._classification import balanced_accuracy_score
+from ._classification import classification_report
+from ._classification import cohen_kappa_score
+from ._classification import confusion_matrix
+from ._classification import f1_score
+from ._classification import fbeta_score
+from ._classification import hamming_loss
+from ._classification import hinge_loss
+from ._classification import jaccard_score
+from ._classification import log_loss
+from ._classification import matthews_corrcoef
+from ._classification import precision_recall_fscore_support
+from ._classification import precision_score
+from ._classification import recall_score
+from ._classification import zero_one_loss
+from ._classification import brier_score_loss
+from ._classification import multilabel_confusion_matrix
+
+from . import cluster
+from .cluster import adjusted_mutual_info_score
+from .cluster import adjusted_rand_score
+from .cluster import completeness_score
+from .cluster import consensus_score
+from .cluster import homogeneity_completeness_v_measure
+from .cluster import homogeneity_score
+from .cluster import mutual_info_score
+from .cluster import normalized_mutual_info_score
+from .cluster import fowlkes_mallows_score
+from .cluster import silhouette_samples
+from .cluster import silhouette_score
+from .cluster import calinski_harabasz_score
+from .cluster import v_measure_score
+from .cluster import davies_bouldin_score
+
+from .pairwise import euclidean_distances
+from .pairwise import nan_euclidean_distances
+from .pairwise import pairwise_distances
+from .pairwise import pairwise_distances_argmin
+from .pairwise import pairwise_distances_argmin_min
+from .pairwise import pairwise_kernels
+from .pairwise import pairwise_distances_chunked
+
+from ._regression import explained_variance_score
+from ._regression import max_error
+from ._regression import mean_absolute_error
+from ._regression import mean_squared_error
+from ._regression import mean_squared_log_error
+from ._regression import median_absolute_error
+from ._regression import r2_score
+from ._regression import mean_tweedie_deviance
+from ._regression import mean_poisson_deviance
+from ._regression import mean_gamma_deviance
+
+
+from ._scorer import check_scoring
+from ._scorer import make_scorer
+from ._scorer import SCORERS
+from ._scorer import get_scorer
+
+from ._plot.roc_curve import plot_roc_curve
+from ._plot.roc_curve import RocCurveDisplay
+from ._plot.precision_recall_curve import plot_precision_recall_curve
+from ._plot.precision_recall_curve import PrecisionRecallDisplay
+
+from ._plot.confusion_matrix import plot_confusion_matrix
+from ._plot.confusion_matrix import ConfusionMatrixDisplay
+
+
+__all__ = [
+    'accuracy_score',
+    'adjusted_mutual_info_score',
+    'adjusted_rand_score',
+    'auc',
+    'average_precision_score',
+    'balanced_accuracy_score',
+    'calinski_harabasz_score',
+    'check_scoring',
+    'classification_report',
+    'cluster',
+    'cohen_kappa_score',
+    'completeness_score',
+    'ConfusionMatrixDisplay',
+    'confusion_matrix',
+    'consensus_score',
+    'coverage_error',
+    'dcg_score',
+    'davies_bouldin_score',
+    'euclidean_distances',
+    'explained_variance_score',
+    'f1_score',
+    'fbeta_score',
+    'fowlkes_mallows_score',
+    'get_scorer',
+    'hamming_loss',
+    'hinge_loss',
+    'homogeneity_completeness_v_measure',
+    'homogeneity_score',
+    'jaccard_score',
+    'label_ranking_average_precision_score',
+    'label_ranking_loss',
+    'log_loss',
+    'make_scorer',
+    'nan_euclidean_distances',
+    'matthews_corrcoef',
+    'max_error',
+    'mean_absolute_error',
+    'mean_squared_error',
+    'mean_squared_log_error',
+    'mean_poisson_deviance',
+    'mean_gamma_deviance',
+    'mean_tweedie_deviance',
+    'median_absolute_error',
+    'multilabel_confusion_matrix',
+    'mutual_info_score',
+    'ndcg_score',
+    'normalized_mutual_info_score',
+    'pairwise_distances',
+    'pairwise_distances_argmin',
+    'pairwise_distances_argmin_min',
+    'pairwise_distances_chunked',
+    'pairwise_kernels',
+    'plot_confusion_matrix',
+    'plot_precision_recall_curve',
+    'plot_roc_curve',
+    'PrecisionRecallDisplay',
+    'precision_recall_curve',
+    'precision_recall_fscore_support',
+    'precision_score',
+    'r2_score',
+    'recall_score',
+    'RocCurveDisplay',
+    'roc_auc_score',
+    'roc_curve',
+    'SCORERS',
+    'silhouette_samples',
+    'silhouette_score',
+    'v_measure_score',
+    'zero_one_loss',
+    'brier_score_loss',
+]