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  1. Compare Stochastic learning strategies for MLPC...

    638843 Training set loss: 1.855465 training: inv-scaling with...factor = 0.5 , random_state = 1 ), datasets . make_moons ( noise...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html
    Thu Aug 14 09:42:38 UTC 2025
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  2. Principal Component Analysis (PCA) on Iris Data...

    figure ( 1 , figsize = ( 8 , 6 )) ax = fig...X_reduced [:, 0 ], X_reduced [:, 1 ], X_reduced [:, 2 ], c = iris...
    scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html
    Thu Aug 14 09:42:35 UTC 2025
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  3. Explicit feature map approximation for RBF kern...

    reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Thu Aug 14 09:42:38 UTC 2025
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  4. Lasso model selection via information criteria ...

    lasso_lars_ic [ - 1 ] . criterion_ , n_samples , lasso_lars_ic [ - 1 ] . noise_variance_...lasso_lars_ic [ - 1 ] . alphas_ == lasso_lars_ic [ - 1 ] . alpha_ )[...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html
    Thu Aug 14 09:42:38 UTC 2025
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  5. Swiss Roll And Swiss-Hole Reduction — scikit-le...

    ) axs [ 1 ] . scatter ( sr_tsne [:, 0 ], sr_tsne [:, 1 ], c =...) axs [ 1 ] . scatter ( sh_tsne [:, 0 ], sh_tsne [:, 1 ], c =...
    scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html
    Thu Aug 14 09:42:35 UTC 2025
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  6. Poisson regression and non-normal loss — scikit...

    Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...
    scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html
    Thu Aug 14 09:42:35 UTC 2025
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  7. 9.2. Computational Performance — scikit-learn 1...

    1.1. Bulk versus Atomic mode # In...data as more complex ones. 9.2.1. Prediction Latency # One of the...
    scikit-learn.org/stable/computing/computational_performance.html
    Thu Aug 14 09:42:35 UTC 2025
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  8. Recursive feature elimination with cross-valida...

    n_clusters_per_class = 1 , class_sep = 0.8 , random_state...StratifiedKFold min_features_to_select = 1 # Minimum number of features to...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Thu Aug 14 09:42:35 UTC 2025
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  9. orthogonal_mp_gram — scikit-learn 1.7.1 documen...

    ) >>> X [: 1 ,] @ coef array([-78.68]) On this...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html
    Thu Aug 14 09:42:39 UTC 2025
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  10. sklearn.kernel_ridge — scikit-learn 1.7.1 docum...

    Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_ridge.html
    Thu Aug 14 09:42:35 UTC 2025
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