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  1. LeavePOut — scikit-learn 1.7.2 documentation

    3] Test: index=[0 2] Fold 2: Train: index=[1 2] Test: index=[0...array ([ 1 , 2 , 3 , 4 ]) >>> lpo = LeavePOut ( 2 ) >>> lpo ....
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePOut.html
    Sun Nov 09 07:16:24 UTC 2025
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  2. LeaveOneGroupOut — scikit-learn 1.7.2 documenta...

    2 , 1 , 2 ]) >>> groups = np . array ([ 1 , 1 , 2 , 2 ]) >>>...Fold 0: Train: index=[2 3], group=[2 2] Test: index=[0 1], group=[1...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html
    Sun Nov 09 07:16:24 UTC 2025
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  3. MultiTaskElasticNet — scikit-learn 1.7.2 docume...

    [ 2 , 2 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Multi...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html
    Sun Nov 09 07:16:25 UTC 2025
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  4. MultiTaskElasticNetCV — scikit-learn 1.7.2 docu...

    [ 2 , 2 ]], ... [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Mul...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNetCV.html
    Sun Nov 09 07:16:24 UTC 2025
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  5. KernelCenterer — scikit-learn 1.7.2 documentation

    - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...K array([[ 9., 2., -2.], [ 2., 14., -13.], [ -2., -13., 21.]])...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html
    Sun Nov 09 07:16:24 UTC 2025
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  6. NuSVC — scikit-learn 1.7.2 documentation

    [ - 2 , - 1 ], [ 1 , 1 ], [ 2 , 1 ]]) >>> y = np...np . array ([ 1 , 1 , 2 , 2 ]) >>> from sklearn.pipeline import...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Sun Nov 09 07:16:25 UTC 2025
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  7. WhiteKernel — scikit-learn 1.7.2 documentation

    x_2) = noise\_level \text{ if } x_i...0.3680 >>> gpr . predict ( X [: 2 ,:], return_std = True ) (array([653.0,...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html
    Sun Nov 09 07:16:24 UTC 2025
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  8. LinearSVR — scikit-learn 1.7.2 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...(n_features) if n_classes == 2 else (n_classes, n_features) Weights...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Sun Nov 09 07:16:24 UTC 2025
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  9. lasso_path — scikit-learn 1.7.2 documentation

    is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html
    Sun Nov 09 07:16:25 UTC 2025
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  10. FeatureAgglomeration — scikit-learn 1.7.2 docum...

    FeatureAgglomeration ( n_clusters=2 , * , metric='euclidean' , memory=None...n_clusters int or None, default=2 The number of clusters to find....
    scikit-learn.org/stable/modules/generated/sklearn.cluster.FeatureAgglomeration.html
    Sun Nov 09 07:16:24 UTC 2025
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