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  1. mean_shift — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version mean_shift # sklearn.cluster. mean_shift ( X , * , ba...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.mean_shift.html
    Sat Aug 23 16:32:03 UTC 2025
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  2. set_config — scikit-learn 1.7.1 documentation

    Gallery examples: Metadata Routing Displaying Pipelines Introducing the set_output API Post-tuning the decision threshold for cost-sensitive learning Target Encoder’s Internal Cross fitting Release...
    scikit-learn.org/stable/modules/generated/sklearn.set_config.html
    Sat Aug 23 16:32:04 UTC 2025
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  3. sklearn.covariance — scikit-learn 1.7.1 documen...

    Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...
    scikit-learn.org/stable/api/sklearn.covariance.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. check_cv — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version check_cv # sklearn.model_selection. check_cv ( cv = 5...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. make_friedman1 — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version make_friedman1 # sklearn.datasets. make_friedman1 ( n...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html
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  6. load_linnerud — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version load_linnerud # sklearn.datasets. load_linnerud ( * ,...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html
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  7. label_binarize — scikit-learn 1.7.1 documentation

    Gallery examples: Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html
    Sat Aug 23 16:32:03 UTC 2025
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  8. sklearn.multioutput — scikit-learn 1.7.1 docume...

    Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...
    scikit-learn.org/stable/api/sklearn.multioutput.html
    Sat Aug 23 16:32:04 UTC 2025
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  9. sklearn.manifold — scikit-learn 1.7.1 documenta...

    Data embedding techniques. User guide. See the Manifold learning section for further details.
    scikit-learn.org/stable/api/sklearn.manifold.html
    Sat Aug 23 16:32:03 UTC 2025
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  10. sklearn.inspection — scikit-learn 1.7.1 documen...

    Tools for model inspection. User guide. See the Inspection section for further details. Plotting:
    scikit-learn.org/stable/api/sklearn.inspection.html
    Sat Aug 23 16:32:03 UTC 2025
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