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  1. 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
    Tue Sep 02 21:56:28 UTC 2025
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  2. permutation_importance — scikit-learn 1.7.1 doc...

    permutation_importance >>> X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [...],[ 0 , 9 , 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>> clf = LogisticRegression...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html
    Tue Sep 02 21:56:26 UTC 2025
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  3. paired_euclidean_distances — scikit-learn 1.7.1...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...paired_euclidean_distances ( X , Y ) array([1., 1.]) On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_euclidean_distances.html
    Mon Sep 01 13:49:54 UTC 2025
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  4. mean_variance_axis — scikit-learn 1.7.1 documen...

    1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5 ])...of CSR or CSC format. axis {0, 1} Axis along which the axis should...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Mon Sep 01 13:49:52 UTC 2025
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  5. Model Selection — scikit-learn 1.7.1 documentation

    Examples related to the sklearn.model_selection module. Balance model complexity and cross-validated score Class Likelihood Ratios to measure classification performance Comparing randomized search ...
    scikit-learn.org/stable/auto_examples/model_selection/index.html
    Tue Sep 02 21:56:26 UTC 2025
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  6. Isotonic Regression — scikit-learn 1.7.1 docume...

    An illustration of the isotonic regression on generated data (non-linear monotonic trend with homoscedastic uniform noise). The isotonic regression algorithm finds a non-decreasing approximation of...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html
    Tue Sep 02 21:56:28 UTC 2025
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  7. davies_bouldin_score — scikit-learn 1.7.1 docum...

    1 ], [ 1 , 1 ], [ 3 , 4 ]] >>> labels = [ 0 , 0 , 1 ] >>>...Davies-Bouldin score. References [ 1 ] Davies, David L.; Bouldin, Donald...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.davies_bouldin_score.html
    Tue Sep 02 21:56:26 UTC 2025
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  8. Ridge — scikit-learn 1.7.1 documentation

    Ridge ( alpha = 1.0 , * , fit_intercept = True ,...shape (n_targets,)}, default=1.0 Constant that multiplies the...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html
    Tue Sep 02 21:56:28 UTC 2025
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  9. pairwise_distances_chunked — scikit-learn 1.7.1...

    means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html
    Tue Sep 02 21:56:26 UTC 2025
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  10. make_sparse_uncorrelated — scikit-learn 1.7.1 d...

    described in Celeux et al [1]. as: X ~ N ( 0 , 1 ) y ( X ) = X [:, 0...0 ] + 2 * X [:, 1 ] - 2 * X [:, 2 ] - 1.5 * X [:, 3 ] Only the...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html
    Tue Sep 02 21:56:27 UTC 2025
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