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  1. sklearn.cross_decomposition — scikit-learn 1.7....

    Algorithms for cross decomposition. User guide. See the Cross decomposition section for further details.
    scikit-learn.org/stable/api/sklearn.cross_decomposition.html
    Sat Aug 23 16:32:04 UTC 2025
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  2. sklearn.semi_supervised — scikit-learn 1.7.1 do...

    Semi-supervised learning algorithms. These algorithms utilize small amounts of labeled data and large amounts of unlabeled data for classification tasks. User guide. See the Semi-supervised learnin...
    scikit-learn.org/stable/api/sklearn.semi_supervised.html
    Sat Aug 23 16:32:03 UTC 2025
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  3. dump_svmlight_file — scikit-learn 1.7.1 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version dump_svmlight_file # sklearn.datasets. dump_svmlight_...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.dump_svmlight_file.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. fetch_lfw_pairs — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version fetch_lfw_pairs # sklearn.datasets. fetch_lfw_pairs (...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_pairs.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. load_svmlight_file — scikit-learn 1.7.1 documen...

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

    Gaussian process based regression and classification. User guide. See the Gaussian Processes section for further details. Kernels: A set of kernels that can be combined by operators and used in Gau...
    scikit-learn.org/stable/api/sklearn.gaussian_process.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. lars_path_gram — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version lars_path_gram # sklearn.linear_model. lars_path_gram...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html
    Sat Aug 23 16:32:03 UTC 2025
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  8. available_if — scikit-learn 1.7.1 documentation

    Gallery examples: Inductive Clustering
    scikit-learn.org/stable/modules/generated/sklearn.utils.metaestimators.available_if.html
    Thu Aug 21 16:13:30 UTC 2025
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  9. Manifold learning — scikit-learn 1.7.1 document...

    Examples concerning the sklearn.manifold module. Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedd...
    scikit-learn.org/stable/auto_examples/manifold/index.html
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  10. Feature agglomeration — scikit-learn 1.7.1 docu...

    These images show how similar features are merged together using feature agglomeration. Total running time of the script:(0 minutes 0.138 seconds) Launch binder Launch JupyterLite Download Jupyter ...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html
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