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  1. sklearn.kernel_ridge — scikit-learn 1.7.0 docum...

    Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_ridge.html
    Fri Jun 06 09:13:47 UTC 2025
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  2. 13. Choosing the right estimator — scikit-learn...

    Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problem...
    scikit-learn.org/stable/machine_learning_map.html
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  3. estimator_html_repr — scikit-learn 1.7.0 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version estimator_html_repr # sklearn.utils. estimator_html_r...
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_html_repr.html
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  4. has_fit_parameter — scikit-learn 1.7.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version has_fit_parameter # sklearn.utils.validation. has_fit...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html
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  5. Gradient Boosting Out-of-Bag estimates — scikit...

    subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
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  6. Outlier detection with Local Outlier Factor (LO...

    n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html
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  7. density — scikit-learn 1.7.0 documentation

    between 0 and 1. Examples >>> from scipy import...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.density.html
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  8. MethodMapping — scikit-learn 1.7.0 documentation

    Added in version 1.3. add ( * , caller , callee )...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MethodMapping.html
    Fri Jun 06 09:13:47 UTC 2025
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  9. MinCovDet — scikit-learn 1.7.0 documentation

    algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html
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  10. check_consistent_length — scikit-learn 1.7.0 do...

    check_consistent_length >>> a = [ 1 , 2 , 3 ] >>> b = [ 2 , 3 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_consistent_length.html
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