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  1. PatchExtractor — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub PatchExtractor # class sklearn.feature_extraction.image. PatchExtrac...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html
    Thu Nov 21 22:17:10 UTC 2024
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  2. ClassifierMixin — scikit-learn 1.5.2 documentation

    Gallery examples:__sklearn_is_fitted__ as Developer API Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html
    Thu Nov 21 22:17:08 UTC 2024
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  3. FeatureAgglomeration — scikit-learn 1.5.2 docum...

    Gallery examples: Feature agglomeration Feature agglomeration vs. univariate selection
    scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html
    Thu Nov 21 22:17:08 UTC 2024
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  4. TransformedTargetRegressor — scikit-learn 1.5.2...

    Gallery examples: Poisson regression and non-normal loss Common pitfalls in the interpretation of coefficients of linear models Effect of transforming the targets in regression model
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Thu Nov 21 22:17:08 UTC 2024
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  5. DensityMixin — scikit-learn 1.5.2 documentation

    Skip to main content Back to top Ctrl + K GitHub DensityMixin # class sklearn.base. DensityMixin [source] # Mixin cla...
    scikit-learn.org/stable/modules/generated/sklearn.base.DensityMixin.html
    Thu Nov 21 22:17:10 UTC 2024
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  6. VotingRegressor — scikit-learn 1.5.2 documentation

    Gallery examples: Plot individual and voting regression predictions
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html
    Thu Nov 21 22:17:08 UTC 2024
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  7. SparseCoder — scikit-learn 1.5.2 documentation

    Gallery examples: Sparse coding with a precomputed dictionary
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html
    Thu Nov 21 22:17:08 UTC 2024
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  8. ExpSineSquared — scikit-learn 1.5.2 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 Nov 21 22:17:08 UTC 2024
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  9. PassiveAggressiveRegressor — scikit-learn 1.5.2...

    Skip to main content Back to top Ctrl + K GitHub PassiveAggressiveRegressor # class sklearn.linear_model. PassiveAggr...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html
    Thu Nov 21 22:17:08 UTC 2024
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  10. SequentialFeatureSelector — scikit-learn 1.5.2 ...

    Gallery examples: Release Highlights for scikit-learn 0.24 Model-based and sequential feature selection
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html
    Thu Nov 21 22:17:08 UTC 2024
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