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  1. clear_data_home — scikit-learn 1.7.2 docu...

    Skip to main content Back to top Ctrl + K GitHub Choose version clear_data_home # sklearn.datasets. clear_data_home (...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.clear_data_home.html
    Fri Dec 05 17:52:55 GMT 2025
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  2. FeatureHasher — scikit-learn 1.7.2 docume...

    Gallery examples: FeatureHasher and DictVectorizer Comparison
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html
    Fri Dec 05 17:52:54 GMT 2025
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  3. WhiteKernel — scikit-learn 1.7.2 document...

    Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html
    Fri Dec 05 17:52:54 GMT 2025
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  4. PatchExtractor — scikit-learn 1.7.2 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version PatchExtractor # class sklearn.feature_extraction.ima...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html
    Fri Dec 05 17:52:54 GMT 2025
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  5. isotonic_regression — scikit-learn 1.7.2 ...

    Skip to main content Back to top Ctrl + K GitHub Choose version isotonic_regression # sklearn.isotonic. isotonic_regr...
    scikit-learn.org/stable/modules/generated/sklearn.isotonic.isotonic_regression.html
    Fri Dec 05 17:52:54 GMT 2025
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  6. GaussianProcessRegressor — scikit-learn 1...

    Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html
    Fri Dec 05 17:52:54 GMT 2025
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  7. DotProduct — scikit-learn 1.7.2 documenta...

    Gallery examples: Iso-probability lines for Gaussian Processes classification (GPC) Illustration of Gaussian process classification (GPC) on the XOR dataset Illustration of prior and posterior Gaus...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html
    Fri Dec 05 17:52:55 GMT 2025
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  8. KNNImputer — scikit-learn 1.7.2 documenta...

    Gallery examples: Imputing missing values before building an estimator Release Highlights for scikit-learn 0.22
    scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html
    Fri Dec 05 17:52:54 GMT 2025
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  9. SpectralEmbedding — scikit-learn 1.7.2 do...

    Gallery examples: Various Agglomerative Clustering on a 2D embedding of digits Comparison of Manifold Learning methods Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Man...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html
    Fri Dec 05 17:52:55 GMT 2025
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  10. ExpSineSquared — scikit-learn 1.7.2 docum...

    Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Illustration of prior and posterior...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ExpSineSquared.html
    Fri Dec 05 17:52:54 GMT 2025
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