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  1. AgglomerativeClustering — scikit-learn 1....

    array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...clustering . labels_ array([1, 1, 1, 0, 0, 0]) For a comparison...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Mon Dec 29 13:14:48 GMT 2025
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  2. ClassifierMixin — scikit-learn 1.8.0 docu...

    predict ( X ) array([1, 1, 1]) >>> estimator ....MyEstimator ( param = 1 ) >>> X = np . array ([[ 1 , 2 ], [ 2 ,...
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html
    Mon Dec 29 13:14:48 GMT 2025
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  3. GroupKFold — scikit-learn 1.8.0 documenta...

    index=[0 1 4 5], group=[0 0 3 3] Fold 1: Train: index=[0 1 4 5],...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Mon Dec 29 13:14:49 GMT 2025
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  4. dbscan — scikit-learn 1.8.0 documentation

    1, 2, 3, 4]) >>> labels array([ 0, 0, 0, 1, 1, -1])...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/dbscan-function.html
    Mon Dec 29 13:14:48 GMT 2025
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  5. RepeatedStratifiedKFold — scikit-learn 1....

    array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rskf = RepeatedStratifiedKF...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html
    Mon Dec 29 13:14:48 GMT 2025
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  6. mean_absolute_percentage_error — scikit-l...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...= [ 1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html
    Mon Dec 29 13:14:48 GMT 2025
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  7. laplacian_kernel — scikit-learn 1.8.0 doc...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...default=None If None, defaults to 1.0 / n_features. Otherwise it should...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html
    Mon Dec 29 13:14:48 GMT 2025
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  8. rbf_kernel — scikit-learn 1.8.0 documenta...

    [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...default=None If None, defaults to 1.0 / n_features. Returns : kernel...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.rbf_kernel.html
    Mon Dec 29 13:14:49 GMT 2025
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  9. sort_graph_by_row_values — scikit-learn 1...

    1. ], ... [ 3. , 0. , 2. ], ... [ 1. , 2. , 0. ]])...>>> X . data array([3., 1., 3., 2., 1., 2.]) >>> X_ =...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html
    Mon Dec 29 13:14:49 GMT 2025
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  10. f_regression — scikit-learn 1.8.0 documen...

    r_regression values lie in [-1, 1] and can thus be negative. f_regression...set to 0.0 . Added in version 1.1. Returns : f_statistic ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html
    Mon Dec 29 13:14:49 GMT 2025
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