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  1. smacof — scikit-learn 1.7.2 documentation

    2 ], [ 1 , 0 , 3 ], [ 2 , 3 , 0 ]]) >>> dissimilarities...metric = True , n_components = 2 , init = None , n_init = 'warn'...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html
    Wed Sep 24 16:15:24 UTC 2025
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  2. Receiver Operating Characteristic (ROC) with cr...

    = 2 ], y [ y != 2 ] n_samples , n_features...linearly separable from the other 2; the latter are not linearly separable...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html
    Wed Sep 24 16:15:26 UTC 2025
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  3. Concatenating multiple feature extraction metho...

    0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...
    scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html
    Wed Sep 24 16:15:26 UTC 2025
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  4. Comparison of Manifold Learning methods — sciki...

    subplots ( nrows = 2 , ncols = 2 , figsize = ( 7 , 7 ), facecolor...projections with matplotlib < 3.2 import mpl_toolkits.mplot3d #...
    scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html
    Wed Sep 24 16:15:26 UTC 2025
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  5. SVM: Weighted samples — scikit-learn 1.7.2 docu...

    n_features = 2 , n_informative = 2 , n_redundant = 0 ,..., axes = plt . subplots ( 1 , 2 , figsize = ( 14 , 6 )) plot_decision_function...
    scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
    Wed Sep 24 16:15:25 UTC 2025
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  6. explained_variance_score — scikit-learn 1.7.2 d...

    y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> ...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Wed Sep 24 16:15:24 UTC 2025
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  7. Product — scikit-learn 1.7.2 documentation

    takes two kernels \(k_1\) and \(k_2\) and combines them via \[k_{prod}(X,...\[k_{prod}(X, Y) = k_1(X, Y) * k_2(X, Y)\] Note that the __mul__ magic...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html
    Wed Sep 24 16:15:25 UTC 2025
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  8. trustworthiness — scikit-learn 1.7.2 documentation

    defined as \[T(k) = 1 - \frac{2}{nk (2n - 3k - 1)} \sum^n_{i=1}...Should be fewer than n_samples / 2 to ensure the trustworthiness...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html
    Wed Sep 24 16:15:25 UTC 2025
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  9. 4. Metadata Routing — scikit-learn 1.7.2 docume...

    2 , size = n_samples ) >>> my_groups...of its underlying objects. 4.1.2. Weighted scoring and unweighted...
    scikit-learn.org/stable/metadata_routing.html
    Tue Sep 23 15:14:21 UTC 2025
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  10. SparsePCA — scikit-learn 1.7.2 documentation

    2. Parameters : X ndarray of shape...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html
    Wed Sep 24 16:15:26 UTC 2025
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