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  1. calinski_harabasz_score — scikit-learn 1.8.0 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version calinski_harabasz_score # sklearn.metrics. calinski_h...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. get_scorer_names — scikit-learn 1.8.0 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version get_scorer_names # sklearn.metrics. get_scorer_names ...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer_names.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. sort_graph_by_row_values — scikit-learn 1.8.0 d...

    Skip to main content Back to top Ctrl + K GitHub Choose version sort_graph_by_row_values # sklearn.neighbors. sort_gr...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. FunctionTransformer — scikit-learn 1.8.0 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
    Mon Mar 23 20:39:23 UTC 2026
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  5. NeighborhoodComponentsAnalysis — scikit-learn 1...

    Gallery examples: Manifold learning on handwritten digits: Locally Linear Embedding, Isomap… Comparing Nearest Neighbors with and without Neighborhood Components Analysis Dimensionality Reduction w...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. OrdinalEncoder — scikit-learn 1.8.0 documentation

    Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Partial Dependence and Individual Conditional Expectation Plots Permutation Importance vs Random...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. PowerTransformer — scikit-learn 1.8.0 documenta...

    Gallery examples: Compare the effect of different scalers on data with outliers Map data to a normal distribution
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. TargetEncoder — scikit-learn 1.8.0 documentation

    Gallery examples: Categorical Feature Support in Gradient Boosting 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
    Mon Mar 23 20:39:23 UTC 2026
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  9. GroupKFold — scikit-learn 1.8.0 documentation

    Gallery examples: Visualizing cross-validation behavior in scikit-learn Release Highlights for scikit-learn 1.4
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. SplineTransformer — scikit-learn 1.8.0 document...

    Gallery examples: Time-related feature engineering Plot classification probability Visualizing the probabilistic predictions of a VotingClassifier Polynomial and Spline interpolation Evaluation of ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.SplineTransformer.html
    Mon Mar 23 20:39:23 UTC 2026
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