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Results 2991 - 3000 of 4,759 for * (3.72 sec)

  1. Lasso model selection: AIC-BIC / cross-validati...

    034821 -0.043401 -0.002592 0.019907 -0.017646 1 -0.001882 -0.044642...-0.045599 -0.034194 -0.032356 -0.002592 0.002861 -0.025930 3...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_model_selection.html
    Sat Aug 02 00:15:37 UTC 2025
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  2. Failure of Machine Learning to infer causal eff...

    pd . Series ( { "college degree" : 2.0 , "ability" : 5.0 , "experience"..."experience" : 0.2 , "parent hourly wage" : 1.0 , } ) hourly_wages...
    scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.html
    Sat Aug 02 00:15:37 UTC 2025
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  3. Image denoising using kernel PCA scikit-learn...

    = ( 8 , 8 )) for img , ax in zip ( X , axs . ravel ()): ax . imshow...imshow ( img . reshape (( 16 , 16 )), cmap = "Greys" ) ax . axis...
    scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html
    Sat Aug 02 00:15:35 UTC 2025
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  4. Univariate Feature Selection scikit-learn 1.7...

    RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...clf () plt . bar ( X_indices - 0.05 , scores , width = 0.2 ) plt...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Sat Aug 02 00:15:37 UTC 2025
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  5. Recursive feature elimination with cross-valida...

    min_features_to_select , n_jobs = 2 , ) rfecv . fit ( X , y ) print ( f "Optimal...pd . DataFrame ( data ) plt . figure () plt . xlabel ( "Number...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Sat Aug 02 00:15:34 UTC 2025
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  6. Hashing feature transformation using Totally Ra...

    [:, 0 ] . min () - 0.5 , X [:, 0 ] . max () + 0.5 y_min , y_max...X [:, 1 ] . min () - 0.5 , X [:, 1 ] . max () + 0.5 xx , yy =...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_embedding.html
    Sat Aug 02 00:15:35 UTC 2025
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  7. Gaussian process classification (GPC) on iris d...

    X [:, 0 ] . min () - 1 , X [:, 0 ] . max () + 1 y_min , y_max...= X [:, 1 ] . min () - 1 , X [:, 1 ] . max () + 1 xx , yy = np...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Sat Aug 02 00:15:37 UTC 2025
      98.4K bytes
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  8. Lasso on dense and sparse data scikit-learn 1...

    : { ( Xs_sp . nnz / float ( X . size ) * 100 ) : .3f } %" ) alpha...( f "Sparse Lasso done in { ( time () - t0 ) : .3f } s" ) t0...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Sat Aug 02 00:15:37 UTC 2025
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  9. Density Estimation for a Gaussian mixture sci...

    np . array ([[ 0.0 , - 0.7 ], [ 3.5 , 0.7 ]]) stretched_gaussian...np . linspace ( - 20.0 , 30.0 ) y = np . linspace ( - 20.0 ,...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html
    Sat Aug 02 00:15:37 UTC 2025
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  10. Scaling the regularization parameter for SVCs ...

    = np . logspace ( - 2.3 , - 1.3 , 10 ) train_sizes = np . linspace...linestyle = "--" , color = "grey" , alpha = 0.7 ) # plot results...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html
    Sat Aug 02 00:15:35 UTC 2025
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