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  1. label_binarize — scikit-learn 1.7.2 docum...

    2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html
    Fri Dec 05 17:52:54 GMT 2025
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  2. MeanShift — scikit-learn 1.7.2 documentation

    complexity will tend towards O(T*n^2). Scalability can be boosted by...X = np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Fri Dec 05 17:52:54 GMT 2025
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  3. HDBSCAN — scikit-learn 1.7.2 documentation

    inf) are given the label -2. Samples with missing data are...clusters. That is to say, the -1, -2, -3 labels for the outlier clusters...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html
    Fri Dec 05 17:52:54 GMT 2025
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  4. MLPRegressor — scikit-learn 1.7.2 documen...

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...array-like of shape(n_layers - 2,), default=(100,) The ith element...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Fri Dec 05 17:52:55 GMT 2025
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  5. sample_without_replacement — scikit-learn...

    Skip to main content Back to top Ctrl + K GitHub Choose version sample_without_replacement # sklearn.utils.random. sa...
    scikit-learn.org/stable/modules/generated/sklearn.utils.random.sample_without_replacement.html
    Fri Nov 21 09:29:38 GMT 2025
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  6. InputTags — scikit-learn 1.7.2 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 Nov 29 17:35:26 GMT 2025
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  7. LabelPropagation — scikit-learn 1.7.2 doc...

    Skip to main content Back to top Ctrl + K GitHub Choose version LabelPropagation # class sklearn.semi_supervised. Lab...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html
    Tue Dec 02 16:12:16 GMT 2025
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  8. Biclustering — scikit-learn 1.7.2 documen...

    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
    Fri Dec 05 17:52:54 GMT 2025
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  9. Calibration — scikit-learn 1.7.2 document...

    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
    Fri Dec 05 17:52:54 GMT 2025
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  10. Miscellaneous — scikit-learn 1.7.2 docume...

    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
    Fri Dec 05 17:52:55 GMT 2025
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