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  1. LabelSpreading — scikit-learn 1.7.0 documentation

    Gallery examples: Label Propagation digits: Demonstrating performance Label Propagation digits: Active learning Label Propagation circles: Learning a complex structure Semi-supervised Classificatio...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. DotProduct — scikit-learn 1.7.0 documentation

    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
    Thu Jul 03 11:42:05 UTC 2025
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  3. TargetEncoder — scikit-learn 1.7.0 documentation

    Gallery examples: Comparing Target Encoder with Other Encoders Target Encoder’s Internal Cross fitting Release Highlights for scikit-learn 1.3
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. FunctionTransformer — scikit-learn 1.7.0 docume...

    Gallery examples: Time-related feature engineering Column Transformer with Heterogeneous Data Sources Feature transformations with ensembles of trees Poisson regression and non-normal loss Tweedie ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. FeatureAgglomeration — scikit-learn 1.7.0 docum...

    Gallery examples: Feature agglomeration Feature agglomeration vs. univariate selection
    scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. KNNImputer — scikit-learn 1.7.0 documentation

    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
    Thu Jul 03 11:42:06 UTC 2025
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  7. ExpSineSquared — scikit-learn 1.7.0 documentation

    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
    Thu Jul 03 11:42:05 UTC 2025
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  8. WhiteKernel — scikit-learn 1.7.0 documentation

    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
    Thu Jul 03 11:42:05 UTC 2025
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  9. deprecated — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version deprecated # class sklearn.utils. deprecated ( extra ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.deprecated.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. Release Highlights for scikit-learn 1.2 — sciki...

    Documentation for HistGradientBoosting...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html
    Thu Jul 03 11:42:06 UTC 2025
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