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make_friedman2 — scikit-learn 1.5.2 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
contingency_matrix — scikit-learn 1.5.2 documen...
labels_pred ) array([[1, 1, 0], [0, 1, 1], [1, 0, 1]]) On this page..., 0 , 1 , 1 , 2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
cosine_distances — scikit-learn 1.5.2 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...cosine_distances ( X , Y ) array([[1. , 1. ], [0.42..., 0.18...]]) On...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html -
EmpiricalCovariance — scikit-learn 1.5.2 docume...
Added in version 1.0. See also EllipticEnvelope An...not others. Added in version 1.3. Note This method is only relevant...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
Effect of varying threshold for self-training —...
mean ( axis = 1 ), yerr = scores . std ( axis = 1 ), capsize =...( axis = 1 ), yerr = amount_labeled . std ( axis = 1 ), capsize...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
laplacian_kernel — scikit-learn 1.5.2 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...= exp ( - gamma || x - y || _1 ) for each pair of rows x in X...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html -
top_k_accuracy_score — scikit-learn 1.5.2 docum...
The best performance is 1 with normalize == True and the...>>> y_true = np . array ([ 0 , 1 , 2 , 2 ]) >>> y_score = np ....scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
A demo of the mean-shift clustering algorithm —...
centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , _ = make_blobs...matplotlib.pyplot as plt plt . figure ( 1 ) plt . clf () colors = [ "#dede00"...scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html -
PCA example with Iris Data-set — scikit-learn 1...
1 ] . mean () + 1.5 , X [ y == label , 2...features 1 and 2 Sparsity Example: Fitting only features 1 and 2...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
deprecated — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub deprecated # class sklearn.utils. deprecated ( extra = '' ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.deprecated.html