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  1. Plot the support vectors in LinearSVC — scikit-...

    subplot ( 1 , 2 , i + 1 ) plt . scatter ( X [:, 0 ], X [:, 1 ], c...colors = "k" , levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...
    scikit-learn.org/stable/auto_examples/svm/plot_linearsvc_support_vectors.html
    Mon Mar 23 20:39:22 UTC 2026
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  2. API Reference — scikit-learn 1.8.0 documentation

    Scale each feature to the [-1, 1] range without breaking the...(Kluger, 2003) [R2af9f5762274-1] . sklearn.cluster SpectralClustering...
    scikit-learn.org/stable/api/index.html
    Mon Mar 23 20:39:23 UTC 2026
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  3. Gradient Boosting regression — scikit-learn 1.8...

    subplot ( 1 , 1 , 1 ) plt . title ( "Deviance"...12 , 6 )) plt . subplot ( 1 , 2 , 1 ) plt . barh ( pos , feature_importance...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. Sum — scikit-learn 1.8.0 documentation

    y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. Incremental PCA — scikit-learn 1.8.0 documentation

    scatterpoints = 1 ) plt . axis ([ - 4 , 4 , - 1.5 , 1.5 ]) plt . show...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ):...
    scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. safe_sqr — scikit-learn 1.8.0 documentation

    >>> safe_sqr ([ 1 , 2 , 3 ]) array([1, 4, 9]) On this page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.safe_sqr.html
    Mon Feb 16 16:32:33 UTC 2026
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  7. 2.4. Biclustering — scikit-learn 1.8.0 document...

    array ([ 1 , 2 ]) >>> data [ rows , columns ] array([[ 1, 2], [21,...to find heavy subgraphs. 2.4.1.1. Mathematical formulation # An...
    scikit-learn.org/stable/modules/biclustering.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. 7.7. Kernel Approximation — scikit-learn 1.8.0 ...

    [ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...\Lambda^{-1}\right) \Lambda \left(K_{21} U_1 \Lambda^{-1}\right)^T...
    scikit-learn.org/stable/modules/kernel_approximation.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. Feature transformations with ensembles of trees...

    deprecated:: 1.8 `penalty` was deprecated in version 1.8 and will...with `0 = l1_ratio = 1`. Setting `l1_ratio=1` gives a pure L1-penalty,...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. Spectral clustering for image segmentation — sc...

    [ 0 ]) ** 2 + ( y - center1 [ 1 ]) ** 2 < radius1 ** 2 circle2...[ 0 ]) ** 2 + ( y - center2 [ 1 ]) ** 2 < radius2 ** 2 circle3...
    scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html
    Mon Mar 23 20:39:20 UTC 2026
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