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  1. Agglomerative clustering with different metrics...

    1 , 1 ]) for l , color , n in zip...figure () plt . axes ([ 0 , 0 , 1 , 1 ]) for l , color in zip ( np...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Sat Aug 02 00:15:35 UTC 2025
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  2. Evaluation of outlier detection estimators — sc...

    in pandas 1.5.1 were mapped to np.nan in pandas 2.0.1 X [ "Misc_Feature"...n_neighbors_list ) - 1 ), chance_level_kw = { "linestyle" : ( 0 , ( 1 , 10 ))},...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html
    Sat Aug 02 00:15:35 UTC 2025
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  3. HistGradientBoostingRegressor — scikit-learn 1....

    scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...version 1.1: Added option ‘quantile’. Changed in version 1.3: Added...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Sat Aug 02 00:15:38 UTC 2025
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  4. Understanding the decision tree structure — sci...

    node=1 is a leaf node with value=[[1. 0. 0.]]. node=2...min_samples_split 2 min_samples_leaf 1 min_weight_fraction_leaf 0.0 max_features...
    scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html
    Sat Aug 02 00:15:37 UTC 2025
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  5. RadiusNeighborsRegressor — scikit-learn 1.7.1 d...

    () array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) score (...[[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>> from...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html
    Sat Aug 02 00:15:38 UTC 2025
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  6. OneClassSVM — scikit-learn 1.7.1 documentation

    predict ( X ) array([-1, 1, 1, 1, -1]) >>> clf . score_samples...default=-1 Hard limit on iterations within solver, or -1 for no...
    scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html
    Sat Aug 02 00:15:38 UTC 2025
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  7. scale — scikit-learn 1.7.1 documentation

    independently array([[-1., 1., 1.], [ 1., -1., -1.]]) >>> scale ( X...scale >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> scale ( X ,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Sat Aug 02 00:15:38 UTC 2025
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  8. GradientBoostingClassifier — scikit-learn 1.7.1...

    1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Sat Aug 02 00:15:38 UTC 2025
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  9. SVC — scikit-learn 1.7.1 documentation

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...default=-1 Hard limit on iterations within solver, or -1 for no...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Sat Aug 02 00:15:38 UTC 2025
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  10. KNeighborsTransformer — scikit-learn 1.7.1 docu...

    () array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) set_output...bors=1) >>> print ( neigh . kneighbors ([[ 1. , 1. , 1. ]]))...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html
    Sat Aug 02 00:15:38 UTC 2025
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