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precision_recall_curve — scikit-learn 1.8.0 doc...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5,...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
7.7. Kernel Approximation — scikit-learn 1.8.0 ...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\Lambda^{-1}\right) \Lambda \left(K_{21} U_1 \Lambda^{-1}\right)^T...scikit-learn.org/stable/modules/kernel_approximation.html -
TfidfTransformer — scikit-learn 1.8.0 documenta...
array([[1, 1, 1, 1, 0, 1, 0, 0], [1, 2, 0, 1, 1, 1, 0, 0], [1, 0,...0, 0, 1, 0, 1, 1, 1], [1, 1, 1, 1, 0, 1, 0, 0]]) >>> pipe [ 'tfid'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
make_friedman3 — scikit-learn 1.8.0 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
hinge_loss — scikit-learn 1.8.0 documentation
[ 1 ]] >>> y = [ - 1 , 1 ] >>> est = svm . LinearSVC...0.09]) >>> hinge_loss ([ - 1 , 1 , 1 ], pred_decision ) 0.30 In...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
multilabel_confusion_matrix — scikit-learn 1.8....
array([[[1, 0], [0, 1]], [[1, 0], [0, 1]], [[0, 1], [1, 0]]]) Multiclass...array([[[3, 1], [0, 2]], [[5, 0], [1, 0]], [[2, 1], [1, 2]]]) On...scikit-learn.org/stable/modules/generated/sklearn.metrics.multilabel_confusion_matrix.html -
robust_scale — scikit-learn 1.8.0 documentation
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> robust_scale...robust_scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> robust_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html -
confusion_matrix_at_thresholds — scikit-learn 1...
1., 1., 0.]) >>> fps array([0., 1., 1., 2.]) >>> fns...fns array([1., 1., 0., 0.]) >>> tps array([1., 1., 2., 2.]) >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
grid_to_graph — scikit-learn 1.8.0 documentation
0) 1 (1, 1) 1 On this page This Page...dtype = bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>> graph...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
sigmoid_kernel — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html