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  1. DotProduct — scikit-learn 1.8.0 documenta...

    1)\) priors on the coefficients of \(x_d (d = 1, . . ....nels. DotProduct ( sigma_0 = 1.0 , sigma_0_bounds = (1e-05, 100000.0)...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html
    Mon Dec 15 15:02:33 GMT 2025
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  2. Feature discretization — scikit-learn 1.8...

    logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (..."linearsvc__C" : np . logspace ( - 1 , 1 , 3 )}, ), ( make_pipeline (...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html
    Mon Dec 15 15:02:31 GMT 2025
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  3. Classifier comparison — scikit-learn 1.8....

    C = 1 , random_state = 42 ), GaussianProcessClass ( 1.0 * RBF...max_features = 1 , random_state = 42 ), MLPClassifier ( alpha = 1 , max_iter...
    scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html
    Mon Dec 15 15:02:30 GMT 2025
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  4. GraphicalLassoCV — scikit-learn 1.8.0 doc...

    means 1 unless in a joblib.parallel_backend context. -1 means...0.2 , 0.0 , 0.3 , 0.1 ], ... [ 0.0 , 0.0 , 0.1 , 0.7 ]]) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html
    Mon Dec 15 15:02:31 GMT 2025
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  5. MultiOutputRegressor — scikit-learn 1.8.0...

    means 1 unless in a joblib.parallel_backend context. -1 means...X [[ 0 ]]) array([[176, 35.1, 57.1]]) fit ( X , y , sample_weight...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html
    Mon Dec 15 15:02:33 GMT 2025
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  6. OrthogonalMatchingPursuit — scikit-learn ...

    either set to 10% of n_features or 1, whichever is greater. tol float,...either set to 10% of n_features or 1, whichever is greater. n_features_in_...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Mon Dec 15 15:02:31 GMT 2025
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  7. 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 15 15:02:31 GMT 2025
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  8. DecisionBoundaryDisplay — scikit-learn 1....

    Added in version 1.1. Parameters : xx0 ndarray of...iris . data [:, 1 ] . min (), iris . data [:, 1 ] . max ()) ......
    scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html
    Mon Dec 15 15:02:31 GMT 2025
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  9. ClassNamePrefixFeaturesOutMixin — scikit-...

    shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html
    Mon Dec 15 15:02:31 GMT 2025
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  10. CalibratedClassifierCV — scikit-learn 1.8...

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.8 Release Highlights for scikit-learn 1.8 On this...
    scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html
    Mon Dec 15 15:02:31 GMT 2025
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