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MultiTaskElasticNet — scikit-learn 1.8.0 docume...
[ 2 , 2 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Multi...is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
GMM covariances — scikit-learn 1.8.0 documentation
covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Face completion with a multi-output estimators ...
n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
1.7. Gaussian Processes — scikit-learn 1.8.0 do...
log-transformed [[ -inf 2.30258509] [ -inf 2.30258509] [ -inf 2.30258509]]...\left(1 + \frac{d(x_i, x_j)^2}{2\alpha l^2}\right)^{-\alpha}\] The...scikit-learn.org/stable/modules/gaussian_process.html -
NearestCentroid — scikit-learn 1.8.0 documentation
2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>>...- 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
mutual_info_classif — scikit-learn 1.8.0 docume...
[ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
Version 0.15 — scikit-learn 1.8.0 documentation
Marsi 2 csytracy 2 LK 2 Vlad Niculae 2 Laurent Direr 2 Erik Shilts...Liau 2 abhishek thakur 2 James Yu 2 Rohit Sivaprasad 2 Roland...scikit-learn.org/stable/whats_new/v0.15.html -
resample — scikit-learn 1.8.0 documentation
2)> >>> X_sparse . toarray () array([[1., 0.], [2., 1.],...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>> y =...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
Novelty detection with Local Outlier Factor (LO...
2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html -
Comparison of LDA and PCA 2D projection of Iris...
the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html