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RegressorChain — scikit-learn 1.7.2 docum...
= [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html -
robust_scale — scikit-learn 1.7.2 documen...
independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>>...>>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> robust_scale...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html -
smacof — scikit-learn 1.7.2 documentation
n_iter will change from 8 to 1 in version 1.9. n_jobs int, default=None...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
multilabel_confusion_matrix — scikit-lear...
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 -
d2_absolute_error_score — scikit-learn 1....
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...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 -
single_source_shortest_path_length — scik...
1), (1, 1), (2, 0), (3, 1), (4, 1), (5, 1)] On this...([[ 0 , 1 , 0 , 0 ], ... [ 1 , 0 , 1 , 0 ], ... [ 0 , 1 , 0 , 0...scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length.... -
euclidean_distances — scikit-learn 1.7.2 ...
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 -
radius_neighbors_graph — scikit-learn 1.7...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) On this...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.neighbors.radius_neighbors_graph.html -
paired_distances — scikit-learn 1.7.2 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 -
SkewedChi2Sampler — scikit-learn 1.7.2 do...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...y = [ 0 , 0 , 1 , 1 ] >>> chi2_feature = SkewedChi2Sampler...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html