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  1. ClassNamePrefixFeaturesOutMixin — scikit-learn ...

    shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. Image denoising using dictionary learning — sci...

    raccoon_face [ 1 :: 4 , :: 4 ] + raccoon_face [:: 4 , 1 :: 4 ] + raccoon_face...raccoon_face [ 1 :: 4 , 1 :: 4 ] ) raccoon_face /= 4.0 height...
    scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html
    Sat Apr 19 00:31:20 UTC 2025
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  3. Tags — scikit-learn 1.6.1 documentation

    scikit-learn 1.6 Release Highlights for scikit-learn 1.6 On this...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Tags.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. brier_score_loss — scikit-learn 1.6.1 documenta...

    y_true in {-1, 1} or {0, 1}, pos_label defaults to 1; else if y_true...0 or all -1, in which case pos_label defaults to 1. Read more...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. fowlkes_mallows_score — scikit-learn 1.6.1 docu...

    1 , 1 ], [ 0 , 0 , 1 , 1 ]) np.float64(1.0) >>> fowlkes_mallows_score...([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) np.float64(1.0) If classes...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.fowlkes_mallows_score.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. average_precision_score — scikit-learn 1.6.1 do...

    1 , 1 ]) >>> y_scores = np . array ([ 0.1 , 0.4 , 0.35..., 0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......
    scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. Comparison of kernel ridge regression and SVR —...

    1 ), param_grid = { "alpha" : [ 1e0 , 0.1 , 1e-2 , 1e-3...with params: {'C': 1.0, 'gamma': np.float64(0.1)} and R2 score:...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. Demo of affinity propagation clustering algorit...

    centers = [[ 1 , 1 ], [ - 1 , - 1 ], [ 1 , - 1 ]] X , labels_true...0 ]], [ cluster_center [ 1 ], x [ 1 ]], color = col [ "color"...
    scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. Comparing Target Encoder with Other Encoders — ...

    scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Gallery...points price province region_1 region_2 variety winery 0 US This...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. paired_manhattan_distances — scikit-learn 1.6.1...

    array ([[ 1 , 1 , 0 ], [ 0 , 1 , 0 ], [ 0 , 0 , 1 ]]) >>> Y =...calculated between (X[0], Y[0]), (X[1], Y[1]), …, (X[n_samples], Y[n_samples])....
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_manhattan_distances.html
    Sat Apr 19 00:31:20 UTC 2025
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