181 lines
4.4 KiB
Python
181 lines
4.4 KiB
Python
"""
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The :mod:`sklearn.metrics` module includes score functions, performance metrics
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and pairwise metrics and distance computations.
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"""
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from . import cluster
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from ._classification import (
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accuracy_score,
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balanced_accuracy_score,
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brier_score_loss,
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class_likelihood_ratios,
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classification_report,
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cohen_kappa_score,
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confusion_matrix,
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f1_score,
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fbeta_score,
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hamming_loss,
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hinge_loss,
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jaccard_score,
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log_loss,
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matthews_corrcoef,
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multilabel_confusion_matrix,
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precision_recall_fscore_support,
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precision_score,
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recall_score,
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zero_one_loss,
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)
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from ._dist_metrics import DistanceMetric
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from ._plot.confusion_matrix import ConfusionMatrixDisplay
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from ._plot.det_curve import DetCurveDisplay
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from ._plot.precision_recall_curve import PrecisionRecallDisplay
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from ._plot.regression import PredictionErrorDisplay
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from ._plot.roc_curve import RocCurveDisplay
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from ._ranking import (
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auc,
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average_precision_score,
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coverage_error,
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dcg_score,
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det_curve,
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label_ranking_average_precision_score,
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label_ranking_loss,
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ndcg_score,
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precision_recall_curve,
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roc_auc_score,
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roc_curve,
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top_k_accuracy_score,
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)
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from ._regression import (
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d2_absolute_error_score,
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d2_pinball_score,
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d2_tweedie_score,
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explained_variance_score,
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max_error,
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mean_absolute_error,
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mean_absolute_percentage_error,
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mean_gamma_deviance,
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mean_pinball_loss,
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mean_poisson_deviance,
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mean_squared_error,
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mean_squared_log_error,
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mean_tweedie_deviance,
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median_absolute_error,
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r2_score,
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root_mean_squared_error,
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root_mean_squared_log_error,
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)
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from ._scorer import check_scoring, get_scorer, get_scorer_names, make_scorer
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from .cluster import (
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adjusted_mutual_info_score,
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adjusted_rand_score,
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calinski_harabasz_score,
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completeness_score,
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consensus_score,
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davies_bouldin_score,
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fowlkes_mallows_score,
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homogeneity_completeness_v_measure,
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homogeneity_score,
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mutual_info_score,
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normalized_mutual_info_score,
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pair_confusion_matrix,
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rand_score,
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silhouette_samples,
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silhouette_score,
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v_measure_score,
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)
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from .pairwise import (
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euclidean_distances,
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nan_euclidean_distances,
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pairwise_distances,
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pairwise_distances_argmin,
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pairwise_distances_argmin_min,
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pairwise_distances_chunked,
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pairwise_kernels,
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)
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__all__ = [
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"accuracy_score",
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"adjusted_mutual_info_score",
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"adjusted_rand_score",
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"auc",
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"average_precision_score",
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"balanced_accuracy_score",
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"calinski_harabasz_score",
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"check_scoring",
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"class_likelihood_ratios",
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"classification_report",
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"cluster",
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"cohen_kappa_score",
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"completeness_score",
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"ConfusionMatrixDisplay",
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"confusion_matrix",
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"consensus_score",
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"coverage_error",
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"d2_tweedie_score",
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"d2_absolute_error_score",
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"d2_pinball_score",
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"dcg_score",
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"davies_bouldin_score",
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"DetCurveDisplay",
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"det_curve",
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"DistanceMetric",
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"euclidean_distances",
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"explained_variance_score",
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"f1_score",
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"fbeta_score",
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"fowlkes_mallows_score",
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"get_scorer",
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"hamming_loss",
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"hinge_loss",
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"homogeneity_completeness_v_measure",
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"homogeneity_score",
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"jaccard_score",
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"label_ranking_average_precision_score",
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"label_ranking_loss",
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"log_loss",
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"make_scorer",
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"nan_euclidean_distances",
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"matthews_corrcoef",
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"max_error",
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"mean_absolute_error",
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"mean_squared_error",
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"mean_squared_log_error",
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"mean_pinball_loss",
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"mean_poisson_deviance",
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"mean_gamma_deviance",
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"mean_tweedie_deviance",
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"median_absolute_error",
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"mean_absolute_percentage_error",
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"multilabel_confusion_matrix",
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"mutual_info_score",
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"ndcg_score",
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"normalized_mutual_info_score",
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"pair_confusion_matrix",
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"pairwise_distances",
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"pairwise_distances_argmin",
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"pairwise_distances_argmin_min",
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"pairwise_distances_chunked",
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"pairwise_kernels",
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"PrecisionRecallDisplay",
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"precision_recall_curve",
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"precision_recall_fscore_support",
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"precision_score",
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"PredictionErrorDisplay",
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"r2_score",
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"rand_score",
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"recall_score",
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"RocCurveDisplay",
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"roc_auc_score",
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"roc_curve",
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"root_mean_squared_log_error",
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"root_mean_squared_error",
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"get_scorer_names",
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"silhouette_samples",
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"silhouette_score",
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"top_k_accuracy_score",
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"v_measure_score",
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"zero_one_loss",
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"brier_score_loss",
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]
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