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confusion_matrix_at_thresholds — scikit-l...
1., 1., 0.]) >>> fps array([0., 1., 1., 2.])...array([1., 1., 0., 0.]) >>> tps array([1., 1., 2., 2.])...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
mean_shift — scikit-learn 1.8.0 documenta...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...6. ], [1.33, 0.66]]) >>> labels array([1, 1, 1, 0, 0,...scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html -
roc_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
RandomTreesEmbedding — scikit-learn 1.8.0...
1.], [1., 0., 1., 0., 1., 0., 1., 0., 1., 0.], [0., 1., 1.,...array([[0., 1., 1., 0., 1., 0., 0., 1., 1., 0.], [0., 1., 1., 0., 1.,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html -
euclidean_distances — scikit-learn 1.8.0 ...
1 ], [ 1 , 1 ]] >>> # distance...(n_samples_Y,) or (n_samples_Y, 1) or (1, n_samples_Y), default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
paired_distances — scikit-learn 1.8.0 doc...
1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>>...distances between (X[0], Y[0]), (X[1], Y[1]), etc… Read more in the User...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html -
det_curve — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...labels are not either {-1, 1} or {0, 1}, then pos_label should...scikit-learn.org/stable/modules/generated/sklearn.metrics.det_curve.html -
coverage_error — scikit-learn 1.8.0 docum...
>>> y_true = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> y_score...y_score = [[ 1 , 0 , 0 ], [ 0 , 1 , 1 ]] >>> coverage_error...scikit-learn.org/stable/modules/generated/sklearn.metrics.coverage_error.html -
kneighbors_graph — scikit-learn 1.8.0 doc...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) Gallery...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.kneighbors_graph.html