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  1. Probability Calibration curves — scikit-learn 1...

    add_subplot ( gs [: 2 , : 2 ]) calibration_displays = {}...histogram grid_positions = [( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 ,...
    scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html
    Tue Mar 17 03:44:39 UTC 2026
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  2. PLSSVD — scikit-learn 1.8.0 documentation

    [ 2. , 2. , 2. ], ... [ 2. , 5. , 4. ]]) >>>...([[ 0.1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9 ], ... [...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Tue Mar 17 03:44:39 UTC 2026
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  3. RegressorChain — scikit-learn 1.8.0 documentation

    2 ], [ 1 , 1 ], [ 2 , 0 ]] >>> chain = RegressorChain...predict ( X ) array([[0., 2.], [1., 1.], [2., 0.]]) fit ( X , Y ,...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html
    Tue Mar 17 03:44:39 UTC 2026
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  4. feature_extraction.rst.txt

    2.0986]}{\sqrt{\big(3^2 + 0^2 + 2.0986^2\big)}} = [...(one_image, (2, 2)) >>> patches.shape (9, 2, 2, 3) >>> patches[4,...
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Tue Mar 17 03:44:36 UTC 2026
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  5. mean_gamma_deviance — scikit-learn 1.8.0 docume...

    = [ 2 , 0.5 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2. ] >>>...with the power parameter power=2 . It is invariant to scaling of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html
    Tue Mar 17 03:44:39 UTC 2026
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  6. Concatenating multiple feature extraction metho...

    0s [CV 2/5; 2/18] START features__pca__n_components=1,...features__univ_select__k=1, svm__C=1 [CV 2/5; 2/18] END features__pca__n_components=1,...
    scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html
    Tue Mar 17 03:44:36 UTC 2026
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  7. randomized_svd — scikit-learn 1.8.0 documentation

    2), (2,), (2, 4)) On this page This Page...increase this parameter up to 2*k - n_components where k is the...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html
    Tue Mar 17 03:44:36 UTC 2026
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  8. Linear and Quadratic Discriminant Analysis with...

    [ 2.5 , 0.7 ]]) * 2.0 cov_class_2 = cov_class_1.... Ellipse ( mean , 2 * v [ 0 ] ** 0.5 , 2 * v [ 1 ] ** 0.5 ,...
    scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html
    Tue Mar 17 03:44:36 UTC 2026
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  9. 7.4. Imputation of missing values — scikit-lear...

    2. Univariate feature imputation...'mean' ) >>> imp . fit ([[ 1 , 2 ], [ np . nan , 3 ], [ 7 , 6 ]])...
    scikit-learn.org/stable/modules/impute.html
    Tue Mar 17 03:44:39 UTC 2026
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  10. L1-based models for Sparse Signals — scikit-lea...

    linspace ( - 2 , 2 , n_samples ) freqs = 2 * np . pi * np ....time_step + 2 * ( rng . random_sample () - 0.5 )) X [:, i ] += 0.2 * rng...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html
    Tue Mar 17 03:44:36 UTC 2026
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