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  1. label_ranking_loss — scikit-learn 1.8.0 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version label_ranking_loss # sklearn.metrics. label_ranking_l...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_loss.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. manhattan_distances — scikit-learn 1.8.0 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version manhattan_distances # sklearn.metrics.pairwise. manha...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html
    Mon Mar 23 20:39:20 UTC 2026
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  3. quantile_transform — scikit-learn 1.8.0 documen...

    Gallery examples: Effect of transforming the targets in regression model
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html
    Mon Mar 23 20:39:23 UTC 2026
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  4. OneHotEncoder — scikit-learn 1.8.0 documentation

    Gallery examples: Time-related feature engineering Column Transformer with Mixed Types Feature transformations with ensembles of trees Categorical Feature Support in Gradient Boosting Combine predi...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. RegressorChain — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version RegressorChain # class sklearn.multioutput. Regressor...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. TunedThresholdClassifierCV — scikit-learn 1.8.0...

    Gallery examples: Post-tuning the decision threshold for cost-sensitive learning Post-hoc tuning the cut-off point of decision function Release Highlights for scikit-learn 1.5
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. SparseRandomProjection — scikit-learn 1.8.0 doc...

    Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… The Johnson-Lindenstrauss bound for embedding with random projections
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. robust_scale — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version robust_scale # sklearn.preprocessing. robust_scale ( ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.robust_scale.html
    Mon Mar 23 20:39:23 UTC 2026
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  9. maxabs_scale — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version maxabs_scale # sklearn.preprocessing. maxabs_scale ( ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. make_union — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version make_union # sklearn.pipeline. make_union ( * transfo...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.make_union.html
    Mon Mar 23 20:39:20 UTC 2026
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