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  1. cosine_distances — scikit-learn 1.7.1 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version cosine_distances # sklearn.metrics.pairwise. cosine_d...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html
    Sat Aug 23 16:32:04 UTC 2025
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  2. Examples of Using FrozenEstimator — scikit-lear...

    This example showcases some use cases of FrozenEstimator. FrozenEstimator is a utility class that allows to freeze a fitted estimator. This is useful, for instance, when we want to pass a fitted es...
    scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html
    Sat Aug 23 16:32:04 UTC 2025
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  3. sklearn.base — scikit-learn 1.7.1 documentation

    Base classes for all estimators and various utility functions.
    scikit-learn.org/stable/api/sklearn.base.html
    Sat Aug 23 16:32:04 UTC 2025
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  4. fetch_covtype — scikit-learn 1.7.1 documentation

    Gallery examples: Scalable learning with polynomial kernel approximation Evaluation of outlier detection estimators Release Highlights for scikit-learn 0.24
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html
    Sat Aug 23 16:32:04 UTC 2025
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  5. graphical_lasso — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version graphical_lasso # sklearn.covariance. graphical_lasso...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html
    Sat Aug 23 16:32:03 UTC 2025
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  6. empirical_covariance — scikit-learn 1.7.1 docum...

    Gallery examples: Shrinkage covariance estimation: LedoitWolf vs OAS and max-likelihood
    scikit-learn.org/stable/modules/generated/sklearn.covariance.empirical_covariance.html
    Sat Aug 23 16:32:04 UTC 2025
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  7. sklearn.compose — scikit-learn 1.7.1 documentation

    Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...
    scikit-learn.org/stable/api/sklearn.compose.html
    Sat Aug 23 16:32:04 UTC 2025
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  8. make_blobs — scikit-learn 1.7.1 documentation

    Gallery examples: Probability calibration of classifiers Probability Calibration for 3-class classification Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Demo of affin...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_blobs.html
    Sat Aug 23 16:32:04 UTC 2025
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  9. contingency_matrix — scikit-learn 1.7.1 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version contingency_matrix # sklearn.metrics.cluster. conting...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html
    Sat Aug 23 16:32:03 UTC 2025
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  10. lasso_path — scikit-learn 1.7.1 documentation

    Gallery examples: Lasso, Lasso-LARS, and Elastic Net paths
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html
    Sat Aug 23 16:32:04 UTC 2025
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