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  1. sklearn.manifold — scikit-learn 1.7.2 documenta...

    Data embedding techniques. User guide. See the Manifold learning section for further details.
    scikit-learn.org/stable/api/sklearn.manifold.html
    Wed Sep 17 19:58:00 UTC 2025
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  2. sklearn.ensemble — scikit-learn 1.7.2 documenta...

    Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.
    scikit-learn.org/stable/api/sklearn.ensemble.html
    Wed Sep 17 19:57:59 UTC 2025
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  3. load_linnerud — scikit-learn 1.7.2 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
    Wed Sep 17 19:58:00 UTC 2025
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  4. Generalized Linear Models — scikit-learn 1.7.2 ...

    Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multinomial and One-vs-Rest Logistic Re...
    scikit-learn.org/stable/auto_examples/linear_model/index.html
    Wed Sep 17 19:58:00 UTC 2025
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  5. sklearn.inspection — scikit-learn 1.7.2 documen...

    Tools for model inspection. User guide. See the Inspection section for further details. Plotting:
    scikit-learn.org/stable/api/sklearn.inspection.html
    Wed Sep 17 19:57:58 UTC 2025
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  6. Pipelines and composite estimators — scikit-lea...

    Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...
    scikit-learn.org/stable/auto_examples/compose/index.html
    Wed Sep 17 19:57:59 UTC 2025
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  7. show_versions — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.show_versions.html
    Wed Sep 17 19:58:00 UTC 2025
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  8. sklearn.pipeline — scikit-learn 1.7.2 documenta...

    Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.
    scikit-learn.org/stable/api/sklearn.pipeline.html
    Wed Sep 17 19:57:58 UTC 2025
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  9. gen_batches — scikit-learn 1.7.2 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...
    scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html
    Wed Sep 17 19:57:58 UTC 2025
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  10. 9.2. Computational Performance — scikit-learn 1...

    1.1. Bulk versus Atomic mode # In...data as more complex ones. 9.2.1. Prediction Latency # One of the...
    scikit-learn.org/stable/computing/computational_performance.html
    Wed Sep 17 19:57:58 UTC 2025
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