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  1. KBinsDiscretizer — scikit-learn 1.8.0 documenta...

    Gallery examples: Time-related feature engineering Plot classification probability Vector Quantization Example Poisson regression and non-normal loss Tweedie regression on insurance claims Using KB...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. LabelBinarizer — scikit-learn 1.8.0 documentation

    Gallery examples: Multiclass Receiver Operating Characteristic (ROC)
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
    Mon Mar 23 20:39:23 UTC 2026
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  3. johnson_lindenstrauss_min_dim — scikit-learn 1....

    Gallery examples: The Johnson-Lindenstrauss bound for embedding with random projections
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim...
    Mon Mar 23 20:39:21 UTC 2026
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  4. resample — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version resample # sklearn.utils. resample ( * arrays , repla...
    scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html
    Mon Mar 23 20:39:20 UTC 2026
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  5. NuSVR — scikit-learn 1.8.0 documentation

    Gallery examples: Model Complexity Influence
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. minmax_scale — scikit-learn 1.8.0 documentation

    Gallery examples: Restricted Boltzmann Machine features for digit classification Compare the effect of different scalers on data with outliers
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. normalize — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version normalize # sklearn.preprocessing. normalize ( X , no...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. InputTags — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version InputTags # class sklearn.utils. InputTags ( one_d_ar...
    scikit-learn.org/stable/modules/generated/sklearn.utils.InputTags.html
    Mon Mar 23 20:39:21 UTC 2026
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  9. as_float_array — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version as_float_array # sklearn.utils. as_float_array ( X , ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Mon Mar 23 20:39:23 UTC 2026
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  10. SelfTrainingClassifier — scikit-learn 1.8.0 doc...

    Gallery examples: Release Highlights for scikit-learn 0.24 Effect of varying threshold for self-training Semi-supervised Classification on a Text Dataset Decision boundary of semi-supervised classi...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
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