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  1. sklearn.utils — scikit-learn 1.7.2 docume...

    Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...
    scikit-learn.org/stable/api/sklearn.utils.html
    Thu Dec 04 11:53:53 GMT 2025
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  2. About us — scikit-learn 1.7.2 documentation

    History: This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started working on this project as part of his thesis. In 2010 Fa...
    scikit-learn.org/stable/about.html
    Fri Dec 05 17:52:54 GMT 2025
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  3. Developer’s Guide — scikit-learn 1.7.2 do...

    Contributing- Ways to contribute, Automated Contributions Policy, Submitting a bug report or a feature request- How to make a good bug report., Contributing code- Video resources, How to contribute...
    scikit-learn.org/stable/developers/index.html
    Fri Dec 05 17:52:54 GMT 2025
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  4. Feature agglomeration — scikit-learn 1.7....

    These images show how similar features are merged together using feature agglomeration. Total running time of the script:(0 minutes 0.136 seconds) Launch binder Launch JupyterLite Download Jupyter ...
    scikit-learn.org/stable/auto_examples/cluster/plot_digits_agglomeration.html
    Fri Dec 05 17:52:54 GMT 2025
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  5. Manifold learning — scikit-learn 1.7.2 do...

    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
    Fri Dec 05 17:52:55 GMT 2025
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  6. Neural Networks — scikit-learn 1.7.2 docu...

    Examples concerning the sklearn.neural_network module. Compare Stochastic learning strategies for MLPClassifier Restricted Boltzmann Machine features for digit classification Varying regularization...
    scikit-learn.org/stable/auto_examples/neural_networks/index.html
    Fri Dec 05 17:52:55 GMT 2025
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  7. sklearn.neighbors — scikit-learn 1.7.2 do...

    The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.
    scikit-learn.org/stable/api/sklearn.neighbors.html
    Fri Dec 05 17:52:54 GMT 2025
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  8. sklearn.tree — scikit-learn 1.7.2 documen...

    Decision tree based models for classification and regression. User guide. See the Decision Trees section for further details. Exporting: Plotting:
    scikit-learn.org/stable/api/sklearn.tree.html
    Fri Dec 05 17:52:54 GMT 2025
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  9. sklearn.dummy — scikit-learn 1.7.2 docume...

    Dummy estimators that implement simple rules of thumb. User guide. See the Metrics and scoring: quantifying the quality of predictions section for further details.
    scikit-learn.org/stable/api/sklearn.dummy.html
    Fri Dec 05 17:52:53 GMT 2025
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  10. sklearn.frozen — scikit-learn 1.7.2 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version sklearn.frozen # FrozenEstimator Estimator that wraps...
    scikit-learn.org/stable/api/sklearn.frozen.html
    Fri Dec 05 17:52:54 GMT 2025
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