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  1. MiniBatchNMF — scikit-learn 1.8.0 documentation

    ||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html
    Tue Mar 17 03:44:39 UTC 2026
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  2. One-Class SVM versus One-Class SVM using Stocha...

    2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
    Tue Mar 17 03:44:36 UTC 2026
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  3. auc — scikit-learn 1.8.0 documentation

    2 , 2 ]) >>> y_score = np . array...y_true , y_score , pos_label = 2 ) >>> metrics . auc ( fpr , tpr...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html
    Tue Mar 17 03:44:36 UTC 2026
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  4. mutual_info_regression — scikit-learn 1.8.0 doc...

    [ 2 ] ( 1 , 2 ) A. Kraskov, H. Stogbauer...neighbors distances as described in [2] and [3] . Both methods are based...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html
    Tue Mar 17 03:44:39 UTC 2026
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  5. scale — scikit-learn 1.8.0 documentation

    scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>>...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Mon Mar 09 14:07:57 UTC 2026
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  6. OutputCodeClassifier — scikit-learn 1.8.0...

    Artificial Intelligence Research 2, 1995. [ 2 ] “The error coding method...n_features = 4 , ... n_informative = 2 , n_redundant = 0 , ... random_state...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
    Mon Mar 09 14:07:54 UTC 2026
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  7. Face completion with a multi-output estimators ...

    n_pixels // 2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test.... figure ( figsize = ( 2.0 * n_cols , 2.26 * n_faces )) plt ....
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html
    Tue Mar 17 03:44:39 UTC 2026
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  8. Swiss Roll And Swiss-Hole Reduction — scikit-le...

    n_components = 2 ) sr_tsne = manifold . TSNE ( n_components = 2 , perplexity...n_components = 2 ) sh_tsne = manifold . TSNE ( n_components = 2 , perplexity...
    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. Multi-dimensional scaling — scikit-learn 1.8.0 ...

    X_true ** 2 ) . sum ()) / np . sqrt (( X_nmds ** 2 ) . sum ())...X_true = rng . randint ( 0 , 20 , 2 * n_samples ) . astype ( float...
    scikit-learn.org/stable/auto_examples/manifold/plot_mds.html
    Tue Mar 17 03:44:36 UTC 2026
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  10. Comparison of LDA and PCA 2D projection of Iris...

    the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html
    Tue Mar 17 03:44:38 UTC 2026
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