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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 -
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 -
Caching nearest neighbors — scikit-learn 1.8.0 ...
= True ) n_neighbors_list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ,...fig , axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes...scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html -
jaccard_score — scikit-learn 1.8.0 documentation
1 , 1 ], ... [ 1 , 1 , 0 ]]) >>> y_pred =...= np . array ([[ 1 , 1 , 1 ], ... [ 1 , 0 , 0 ]]) In the binary...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
d2_absolute_error_score — scikit-learn 1.8.0 do...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...User Guide . Added in version 1.1. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
Demo of DBSCAN clustering algorithm — scikit-le...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...len ( set ( labels )) - ( 1 if - 1 in labels else 0 ) n_noise_...scikit-learn.org/stable/auto_examples/cluster/plot_dbscan.html