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  1. all_functions — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version all_functions # sklearn.utils.discovery. all_function...
    scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_functions.html
    Mon Oct 20 15:12:26 UTC 2025
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  2. kernel_metrics — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version kernel_metrics # sklearn.metrics.pairwise. kernel_met...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.kernel_metrics.html
    Mon Oct 20 15:12:26 UTC 2025
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  3. Kernel Density Estimation — scikit-learn 1.7.2 ...

    This example shows how kernel density estimation (KDE), a powerful non-parametric density estimation technique, can be used to learn a generative model for a dataset. With this generative model in ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Oct 20 15:12:27 UTC 2025
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  4. Missing Value Imputation — scikit-learn 1.7.2 d...

    Examples concerning the sklearn.impute module. Imputing missing values before building an estimator Imputing missing values with variants of IterativeImputer
    scikit-learn.org/stable/auto_examples/impute/index.html
    Mon Oct 20 15:12:27 UTC 2025
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  5. check_memory — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version check_memory # sklearn.utils.validation. check_memory...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_memory.html
    Mon Oct 20 15:12:26 UTC 2025
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  6. all_displays — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version all_displays # sklearn.utils.discovery. all_displays ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_displays.html
    Mon Oct 20 15:12:26 UTC 2025
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  7. sklearn.preprocessing — scikit-learn 1.7.2 docu...

    Methods for scaling, centering, normalization, binarization, and more. User guide. See the Preprocessing data section for further details.
    scikit-learn.org/stable/api/sklearn.preprocessing.html
    Mon Oct 20 15:12:27 UTC 2025
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  8. 5.1. Partial Dependence and Individual Conditio...

    2 , ( 3 , 2 )] >>> PartialDependenceDis...results [ "average" ] array([[ 2.466..., 2.466..., ... >>> results [...
    scikit-learn.org/stable/modules/partial_dependence.html
    Mon Oct 20 15:12:25 UTC 2025
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  9. Comparing randomized search and grid search for...

    035905148)} Model with rank: 2 Mean validation score: 0.987 (std:...111111111)} Model with rank: 2 Mean validation score: 0.991 (std:...
    scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html
    Mon Oct 20 15:12:27 UTC 2025
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  10. precision_recall_fscore_support — scikit-learn ...

    array([2, 2, 2])) On this page This Page...the Precision and recall . [ 2 ] Wikipedia entry for the F1-score...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
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