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  1. d2_brier_score — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version d2_brier_score # sklearn.metrics. d2_brier_score ( y_...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_brier_score.html
    Tue Mar 17 03:44:36 UTC 2026
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  2. precision_recall_curve — scikit-learn 1.8.0 doc...

    Gallery examples: Visualizations with Display Objects Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html
    Tue Mar 17 03:44:36 UTC 2026
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  3. KernelCenterer — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version KernelCenterer # class sklearn.preprocessing. KernelC...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html
    Tue Mar 17 03:44:36 UTC 2026
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  4. BernoulliRBM — scikit-learn 1.8.0 documentation

    Gallery examples: Restricted Boltzmann Machine features for digit classification
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html
    Tue Mar 17 03:44:39 UTC 2026
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  5. MaxAbsScaler — scikit-learn 1.8.0 documentation

    Gallery examples: Compare the effect of different scalers on data with outliers
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html
    Tue Mar 17 03:44:39 UTC 2026
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  6. PCA — scikit-learn 1.8.0 documentation

    Gallery examples: Image denoising using kernel PCA Faces recognition example using eigenfaces and SVMs A demo of K-Means clustering on the handwritten digits data Column Transformer with Heterogene...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
    Tue Mar 17 03:44:39 UTC 2026
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  7. precision_recall_fscore_support — scikit-learn ...

    Skip to main content Back to top Ctrl + K GitHub Choose version precision_recall_fscore_support # sklearn.metrics. pr...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html
    Tue Mar 17 03:44:39 UTC 2026
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  8. ndcg_score — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version ndcg_score # sklearn.metrics. ndcg_score ( y_true , y...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html
    Tue Mar 17 03:44:39 UTC 2026
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  9. Pipeline — scikit-learn 1.8.0 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Selecting dimensionality reduction with Pipel...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html
    Tue Mar 17 03:44:36 UTC 2026
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  10. SimpleImputer — scikit-learn 1.8.0 documentation

    Gallery examples: Column Transformer with Mixed Types Combine predictors using stacking Imputing missing values with variants of IterativeImputer Imputing missing values before building an estimato...
    scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html
    Tue Mar 17 03:44:39 UTC 2026
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