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Results 181 - 190 of 400 for f (0.04 sec)

  1. LeavePGroupsOut — scikit-learn 1.7.2 documentation

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index ] } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html
    Thu Nov 06 17:51:52 UTC 2025
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  2. The Johnson-Lindenstrauss bound for embedding w...

    legend ([ f "eps = { eps : 0.1f } " for eps...color = color ) plt . legend ([ f "n_samples = { n } " for n in...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Thu Nov 06 17:51:50 UTC 2025
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  3. Feature agglomeration vs. univariate selection ...

    BayesianRidge f_regression = mem . cache ( feature_selection . f_regression...univariate_selection.f_regression... f_regression(array([[-0.451933,...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Thu Nov 06 17:51:50 UTC 2025
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  4. 1.13. Feature selection — scikit-learn 1.7.2 do...

    f_classif , mutual_info_classif The methods based on F-test...estimator. For instance, we can use a F-test to retrieve the two best...
    scikit-learn.org/stable/modules/feature_selection.html
    Thu Nov 06 17:51:50 UTC 2025
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  5. 2.2. Manifold learning — scikit-learn 1.7.2 doc...

    Disparities \(\hat{d}_{ij} = f(\delta_{ij})\) are some transformation...
    scikit-learn.org/stable/modules/manifold.html
    Thu Nov 06 17:51:52 UTC 2025
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  6. Scalable learning with polynomial kernel approx...

    annotate ( f "n_comp.= { n_components } " , ( results [ f "LSVM +..."score" : lsvm_score } print ( f "Linear SVM score on raw features:...
    scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html
    Thu Nov 06 17:51:52 UTC 2025
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  7. Multiclass Receiver Operating Characteristic (R...

    name = f " { class_of_interest } vs the...effect of numpy.ravel : print ( f "y_score: \n { y_score [ 0 : 2...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Thu Nov 06 17:51:50 UTC 2025
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  8. L1 Penalty and Sparsity in Logistic Regression ...

    * 100 print ( f "C= { C : .2f } " ) print ( f " { 'Sparsity with...sparsity_l1_LR : .2f } %" ) print ( f " { 'Sparsity with Elastic-Net...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Thu Nov 06 17:51:52 UTC 2025
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  9. Combine predictors using stacking — scikit-lear...

    { key : ( f " { np . abs ( np . mean ( scores [ f 'test_ { value...])) : .2f } +- " f " { np . std ( scores [ f 'test_ { value }...
    scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html
    Thu Nov 06 17:51:52 UTC 2025
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  10. 7.1. Pipelines and composite estimators — sciki...

    'w' ) as f : ... f . write ( estimator_html_repr...TransformedTargetReg(...) >>> print ( f "R2 score: { regr . score ( X_test...
    scikit-learn.org/stable/modules/compose.html
    Thu Nov 06 17:51:52 UTC 2025
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