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  1. PLSSVD — scikit-learn 1.7.2 documentation

    1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Mon Nov 24 12:29:41 GMT 2025
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  2. trustworthiness — scikit-learn 1.7.2 docu...

    1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html
    Mon Nov 24 12:29:41 GMT 2025
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  3. ridge_regression — scikit-learn 1.7.2 doc...

    0 ] - 1.0 * X [:, 1 ] + 0.1 * rng . standard_normal...>>> coef array([ 1.97, -1., -2.69e-3, -9.27e-4 ]) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ridge_regression.html
    Mon Nov 24 12:29:41 GMT 2025
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  4. img_to_graph — scikit-learn 1.7.2 documen...

    1], [0, 0, 0, 1], [0, 1, 1, 1]]) On this page...np . array ([[ 0 , 0 ], [ 0 , 1 ]]) >>> img_to_graph...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html
    Mon Nov 24 12:29:38 GMT 2025
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  5. label_ranking_loss — scikit-learn 1.7.2 d...

    1 ], [ 1 , 0.2 , 0.1 ]] >>> label_ranking_loss...>>> y_true = [[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]] >>> y_score...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html
    Mon Nov 24 11:23:21 GMT 2025
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  6. dict_learning — scikit-learn 1.7.2 docume...

    1 ( U , V ) with || V_k || _2 = 1 for all 0 <=...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning.html
    Mon Nov 24 12:29:41 GMT 2025
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  7. inplace_csr_row_normalize_l2 — scikit-lea...

    1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz...
    Fri Nov 21 09:29:38 GMT 2025
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  8. oas — scikit-learn 1.7.2 documentation

    References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...The regularised covariance is: (1 - shrinkage) * cov + shrinkage...
    scikit-learn.org/stable/modules/generated/oas-function.html
    Mon Nov 24 12:29:38 GMT 2025
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  9. GraphicalLasso — scikit-learn 1.7.2 docum...

    1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>>...the data X . Added in version 1.3. tol float, default=1e-4 The...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html
    Mon Nov 24 12:29:41 GMT 2025
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  10. TruncatedSVD — scikit-learn 1.7.2 documen...

    Added in version 1.1. power_iteration_normalizer {‘auto’,...more details. Added in version 1.1. random_state int, RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.TruncatedSVD.html
    Mon Nov 24 12:29:38 GMT 2025
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