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  1. column_or_1d — scikit-learn 1.7.1 documentation

    >>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. warn bool, default=False To...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html
    Sat Aug 02 00:15:36 UTC 2025
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  2. Comparing Linear Bayesian Regressors — scikit-l...

    1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html
    Sat Aug 02 00:15:37 UTC 2025
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  3. Feature transformations with ensembles of trees...

    0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...0.0001 C 1.0 fit_intercept True intercept_scaling 1 class_weight...
    scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html
    Sat Aug 02 00:15:37 UTC 2025
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  4. 4. Metadata Routing — scikit-learn 1.7.1 docume...

    1.1. Weighted scoring and fitting...>>> param_grid = { "C" : [ 0.1 , 1 ]} >>> lr = LogisticRegression...
    scikit-learn.org/stable/metadata_routing.html
    Sat Aug 02 00:15:34 UTC 2025
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  5. as_float_array — scikit-learn 1.7.1 documentation

    nan Deprecated since version 1.6: force_all_finite was renamed...ensure_all_finite and will be removed in 1.8. ensure_all_finite bool or ‘allow-nan’,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Sat Aug 02 00:15:38 UTC 2025
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  6. Calibration — scikit-learn 1.7.1 documentation

    Examples illustrating the calibration of predicted probabilities of classifiers. Comparison of Calibration of Classifiers Probability Calibration curves Probability Calibration for 3-class classifi...
    scikit-learn.org/stable/auto_examples/calibration/index.html
    Sat Aug 02 00:15:37 UTC 2025
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  7. Biclustering — scikit-learn 1.7.1 documentation

    Examples concerning biclustering techniques. A demo of the Spectral Biclustering algorithm A demo of the Spectral Co-Clustering algorithm Biclustering documents with the Spectral Co-clustering algo...
    scikit-learn.org/stable/auto_examples/bicluster/index.html
    Sat Aug 02 00:15:35 UTC 2025
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  8. Miscellaneous — scikit-learn 1.7.1 documentation

    Miscellaneous and introductory examples for scikit-learn. Advanced Plotting With Partial Dependence Comparing anomaly detection algorithms for outlier detection on toy datasets Comparison of kernel...
    scikit-learn.org/stable/auto_examples/miscellaneous/index.html
    Sat Aug 02 00:15:37 UTC 2025
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  9. InputTags — scikit-learn 1.7.1 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
    Sat Aug 02 00:15:38 UTC 2025
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  10. DataDimensionalityWarning — scikit-learn 1.7.1 ...

    Skip to main content Back to top Ctrl + K GitHub Choose version DataDimensionalityWarning # exception sklearn.excepti...
    scikit-learn.org/stable/modules/generated/sklearn.exceptions.DataDimensionalityWarning.html
    Sat Aug 02 00:15:38 UTC 2025
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