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  1. Sample pipeline for text feature extraction and...

    array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06]), 'vect__max_df':...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. Outlier detection on a real data set — scikit-l...

    EllipticEnvelope ( support_fraction = 1.0 , contamination = 0.25 ), "Robust...= load_wine ()[ "data" ][:, [ 1 , 2 ]] # two clusters fig , ax...
    scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. 8.4. Loading other datasets — scikit-learn 1.8....

    1. Sample images # Scikit-learn...forget to scale to the range 0 - 1 as done in the following example....
    scikit-learn.org/stable/datasets/loading_other_datasets.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. 7.8. Pairwise metrics, Affinities and Kernels —...

    for choosing gamma is 1 / num_features S = 1. / (D / np.max(D))...>>> Y = np . array ([[ 1 , 0 ], [ 2 , 1 ]]) >>> pairwise_distances...
    scikit-learn.org/stable/modules/metrics.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. Gaussian process classification (GPC) on iris d...

    y ) kernel = 1.0 * RBF ([ 1.0 , 1.0 ]) gpc_rbf_anisotropic...() - 1 , X [:, 0 ] . max () + 1 y_min , y_max = X [:, 1 ] . min...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. Explicit feature map approximation for RBF kern...

    reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. 2.7. Novelty and Outlier Detection — scikit-lea...

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [...Inliers are labeled 1, while outliers are labeled -1. The predict method...
    scikit-learn.org/stable/modules/outlier_detection.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. Examples — scikit-learn 1.8.0 documentation

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 Release...
    scikit-learn.org/stable/auto_examples/index.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. GraphicalLasso — scikit-learn 1.8.0 documentation

    1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>> np...the data X . Added in version 1.3. tol float, default=1e-4 The...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. TruncatedSVD — scikit-learn 1.8.0 documentation

    Added in version 1.1. power_iteration_normalizer {‘auto’,...more details. Added in version 1.1. random_state int, RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html
    Mon Mar 23 20:39:21 UTC 2026
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