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classification_report — scikit-learn 1.8....
50 1.00 0.67 1 class 1 0.00 0.00 0.00 1 class 2 1.00 0.67...y_pred = [ 1 , 1 , 0 ] >>> y_true = [ 1 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
rand_score — scikit-learn 1.8.0 documenta...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 Labelings that...rand_score ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) 0.83 Gallery examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
OneClassSVM — scikit-learn 1.8.0 document...
predict ( X ) array([-1, 1, 1, 1, -1]) >>> clf . score_samples...default=-1 Hard limit on iterations within solver, or -1 for no...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.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 -
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 -
fast_logdet — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
RBF — scikit-learn 1.8.0 documentation
) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = ...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.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 -
check_increasing — scikit-learn 1.8.0 doc...
scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html