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  1. ConstantKernel — scikit-learn 1.7.0 documentation

    \[k(x_1, x_2) = constant\_value \;\forall\; x_1, x_2\] Adding...predict ( X [: 1 ,:], return_std = True ) (array([606.1]), array([0.248]))...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html
    Fri Jun 06 09:13:46 UTC 2025
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  2. SGDClassifier — scikit-learn 1.7.0 documentation

    array ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>>...(clip(decision_function(X), -1, 1) + 1) / 2. For other loss functions...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html
    Fri Jun 06 09:13:47 UTC 2025
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  3. DecisionTreeClassifier — scikit-learn 1.7.0 doc...

    [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html
    Fri Jun 06 09:13:46 UTC 2025
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  4. KBinsDiscretizer — scikit-learn 1.7.0 documenta...

    [ 1., 1., 1., 0.], [ 2., 2., 2., 1.], [ 2., 2., 2.,...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
    Fri Jun 06 09:13:47 UTC 2025
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  5. MinCovDet — scikit-learn 1.7.0 documentation

    algorithm: (n_samples + n_features + 1) / 2 * n_samples . The parameter...parameter must be in the range (0, 1]. random_state int, RandomState...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.MinCovDet.html
    Fri Jun 06 09:13:47 UTC 2025
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  6. cross_validate — scikit-learn 1.7.0 documentation

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html
    Fri Jun 06 09:13:47 UTC 2025
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  7. NearestCentroid — scikit-learn 1.7.0 documentation

    ([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html
    Fri Jun 06 09:13:47 UTC 2025
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  8. plot_release_highlights_1_6_0.ipynb

    1, 6, np.nan]).reshape(-1, 1)\ny = [0, 0, 1, 1]\n\nforest...Release Highlights for scikit-learn 1.6\n\n.. currentmodule:: sklearn\n\nWe...
    scikit-learn.org/stable/_downloads/862c762bdafef83db4c2c9e803ed6295/plot_release_highlights_1_6_0...
    Sun Jun 01 04:47:41 UTC 2025
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  9. learning_curve — scikit-learn 1.7.0 documentation

    1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html
    Fri Jun 06 09:13:46 UTC 2025
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  10. LogisticRegressionCV — scikit-learn 1.7.0 docum...

    means 1 unless in a joblib.parallel_backend context. -1 means...version 1.5: multi_class was deprecated in version 1.5 and will...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Fri Jun 06 09:13:47 UTC 2025
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