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HalvingGridSearchCV — scikit-learn 1.8.0 docume...
means 1 unless in a joblib.parallel_backend context. -1 means...for a classification problem 1 when resource != 'n_samples' ‘exhaust’...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingGridSearchCV.html -
Nystroem — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also AdditiveChi2Sampler...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.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 -
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 -
RandomTreesEmbedding — scikit-learn 1.8.0 docum...
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 -
euclidean_distances — scikit-learn 1.8.0 docume...
1 ], [ 1 , 1 ]] >>> # distance between...(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 documenta...
1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>> paired_distances...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