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  1. Version 0.20 — scikit-learn 1.8.0 documentation

    1} or {-1, 1} through pos_label parameter....PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required. #11010...
    scikit-learn.org/stable/whats_new/v0.20.html
    Tue Mar 17 03:44:39 UTC 2026
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  2. 8.3. Generated datasets — scikit-learn 1.8.0 do...

    1.1. Single label # make_blobs creates..."n_informative" : 1 , "n_clusters_per_class" : 1 , "n_classes" :...
    scikit-learn.org/stable/datasets/sample_generators.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. Hierarchical clustering with and without struct...

    ) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 , n_samples...n_samples , noise = noise ) X1 [:, 1 ] *= 0.5 # Make the roll thinner...
    scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html
    Mon Mar 23 20:39:21 UTC 2026
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  4. GMM Initialization Methods — scikit-learn 1.8.0...

    1 ], s = 75 , marker = "D" , c = "orange" , lw = 1.5 , edgecolors...random_state = 0 ) X = X [:, :: - 1 ] n_samples = 4000 n_components...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html
    Mon Mar 23 20:39:20 UTC 2026
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  5. Examples of Using FrozenEstimator — scikit-lear...

    same three data points: [1 1 1] Now imagine you’d want to set...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Probability...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Mon Mar 23 20:39:22 UTC 2026
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  6. Univariate Feature Selection — scikit-learn 1.8...

    shape [ - 1 ]) plt . figure ( 1 ) plt . clf () plt ....RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. 7.3. Preprocessing data — scikit-learn 1.8.0 do...

    1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1], ...,...0. , -1.22, 1.33 ], [ 1.22, 0. , -0.267], [-1.22, 1.22, -1.06 ]])...
    scikit-learn.org/stable/modules/preprocessing.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. 7.2. Feature extraction — scikit-learn 1.8.0 do...

    array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...
    scikit-learn.org/stable/modules/feature_extraction.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Orthogonal Matching Pursuit — scikit-learn 1.8....

    1 , 1 ) plt . xlim ( 0 , 512 ) plt...make_sparse_coded_signal ( n_samples = 1 , n_components = n_components...
    scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html
    Mon Mar 23 20:39:22 UTC 2026
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  10. Demo of OPTICS clustering algorithm — scikit-le...

    subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...
    scikit-learn.org/stable/auto_examples/cluster/plot_optics.html
    Mon Mar 23 20:39:20 UTC 2026
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