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  1. AdaBoostRegressor scikit-learn 1.7.1 document...

    predict ([[ 0 , 0 , 0 , 0 ]]) array([4.7972]) >>> regr . score ( X ,...{‘linear, square, exponential}, default=linear The loss function...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html
    Sun Jul 27 08:01:33 UTC 2025
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  2. make_regression scikit-learn 1.7.1 documentation

    [-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579, 0.7674]]) >>> y...42 ) >>> X array([[ 0.4967, -0.1382 ], [ 0.6476, 1.523], [-0.2341,...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html
    Sun Jul 27 08:01:31 UTC 2025
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  3. MetaEstimatorMixin scikit-learn 1.7.1 documen...

    , X , y = None ): ... if self . estimator is None : ... self...self . estimator_ = LogisticRegression () ... else : ... self . estimator_...
    scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html
    Sun Jul 27 08:01:33 UTC 2025
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  4. StackingRegressor scikit-learn 1.7.1 document...

    RidgeCV ()), ... ( 'svr' , LinearSVR ( random_state = 42 )) ... ] >>>...X_test , y_test ) 0.3... fit ( X , y , ** fit_params ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html
    Sun Jul 27 08:01:32 UTC 2025
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  5. DictVectorizer scikit-learn 1.7.1 documentation

    >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>> v . inverse_transform...inverse_transform ( X ) == [{ 'bar' : 2.0 , 'foo' : 1.0 }, ... { 'baz' : 1.0...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html
    Sun Jul 27 08:01:34 UTC 2025
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  6. get_data_home scikit-learn 1.7.1 documentation

    get_data_home () >>> os . path . exists ( data_home_path ) True Gallery...examples # Out-of-core classification of text documents Out-of-core...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html
    Sun Jul 27 08:01:34 UTC 2025
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  7. load_diabetes scikit-learn 1.7.1 documentation

    load_diabetes () >>> diabetes . target [: 3 ] array([151., 75., 141.]) >>>...diabetes . data . shape (442, 10) Gallery examples # Model Complexity...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html
    Sun Jul 27 08:01:33 UTC 2025
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  8. StackingClassifier scikit-learn 1.7.1 documen...

    RandomForestClassifi ( n_estimators = 10 , random_state = 42 )), ... ( 'svr' ,...load_iris ( return_X_y = True ) >>> estimators = [ ... ( 'rf' , RandomForestClassifi...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html
    Sun Jul 27 08:01:34 UTC 2025
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  9. extract_patches_2d scikit-learn 1.7.1 documen...

    load_sample_image ( "china.jpg" ) >>> print ( 'Image shape: {} ' . format...format ( one_image . shape )) Image shape: (427, 640, 3) >>> patches...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.extract_patches_2d.html
    Sun Jul 27 08:01:31 UTC 2025
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  10. mutual_info_regression scikit-learn 1.7.1 doc...

    42 ... ) >>> mutual_info_regression ( X , y ) array([0.117, 2.645,...Sets. PLoS ONE 9(2), 2014. [ 4 ] L. F. Kozachenko, N. N. Leonenko,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html
    Sun Jul 27 08:01:31 UTC 2025
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