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  1. sklearn.mixture scikit-learn 1.7.2 documentation

    top Ctrl + K GitHub Choose version sklearn.mixture # Mixture modeling...modeling algorithms. User guide. See the Gaussian mixture models...
    scikit-learn.org/stable/api/sklearn.mixture.html
    Wed Sep 24 16:15:25 UTC 2025
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  2. A demo of the Spectral Co-Clustering algorithm ...

    ])) print ( "consensus score: {:.3f} " . format ( score )) fit_data...plt . cm . Blues ) plt . title ( "Original dataset" ) # shuffle...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html
    Wed Sep 24 16:15:25 UTC 2025
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  3. Selecting the number of clusters with silhouett...

    ax1 . set_xlim ([ - 0.1 , 1 ]) # The (n_clusters+1)*10 is for inserting...clearly. ax1 . set_ylim ([ 0 , len ( X ) + ( n_clusters + 1 ) * 10...
    scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html
    Wed Sep 24 16:15:25 UTC 2025
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  4. Release Highlights for scikit-learn 1.3 sciki...

    np . array ([ 0 , 1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y...random_state = 0 ) . fit ( X , y ) tree . predict ( X ) array([0, 0, 1, 1])...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html
    Wed Sep 24 16:15:25 UTC 2025
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  5. Robust vs Empirical covariance estimate sciki...

    , n_samples / 2 , 5 )[ 1 : - 1 ], ) ) . astype ( int ) # definition...EmpiricalCovariance () . fit ( X ) . error_norm ( np . eye ( n_features )) ) #...
    scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html
    Wed Sep 24 16:15:25 UTC 2025
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  6. Compare cross decomposition methods scikit-le...

    Corr(X) [[ 1. 0.45 -0.04 0. ] [ 0.45 1. -0.1 -0.02] [-0.04 -0.1...-0.05] [ 0.48 1. 0.07 0.04] [-0.12 0.07 1. 0.5 ] [-0.05 0.04 0.5 1....
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Wed Sep 24 16:15:25 UTC 2025
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  7. Release Highlights for scikit-learn 0.23 scik...

    ('standardscaler', StandardScaler())]), ('feat1', 'feat3')), ('pipeline-2', ...num_proc , ( "feat1" , "feat3" )), ( cat_proc , ( "feat0" , "feat2"...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. Hierarchical clustering: structured vs unstruct...

    = 7 , azim =- 80 ) ax1 . set_position ([ 0 , 0 , 0.95 , 1 ]) for...float ( l ) / np . max ( label + 1 )), s = 20 , edgecolor = "k" ,...
    scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html
    Wed Sep 24 16:15:25 UTC 2025
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  9. Partial Dependence and Individual Conditional E...

    columns): # Column Non-Null Count Dtype --- ------ ---------- -----...days = ( "Sun" , "Mon" , "Tue" , "Wed" , "Thu" , "Fri" , "Sat" )...
    scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html
    Wed Sep 24 16:15:26 UTC 2025
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  10. Ability of Gaussian process regression (GPR) to...

    rng . uniform ( 0 , 5 , size = 20 ) . reshape ( - 1 , 1 ) y_train...legend () plt . xlabel ( "X" ) plt . ylabel ( "y" ) _ = plt . title...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html
    Wed Sep 24 16:15:25 UTC 2025
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