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"""Score functions, performance metrics, pairwise metrics and distance computations.""" |
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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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d2_log_loss_score, |
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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_log_loss_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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