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  1. Early stopping of Stochastic Gradient Descent ...

    .... Validation score: .......... # Authors: The scikit-learn...criterion. No stopping criterion: .......... Training loss: .............
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html
    Mon Sep 22 13:26:33 UTC 2025
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  2. 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
    Mon Sep 22 13:26:33 UTC 2025
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  3. Quantile regression scikit-learn 1.7.2 docume...

    ( "Counts" ) axs [ 0 , 1 ] . set_xlabel ( "x" ) axs [ 0 , 0 ]...rng . pareto ( a , size = x . shape [ 0 ]) - 1 / ( a - 1 )) Let’s...
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Mon Sep 22 13:26:34 UTC 2025
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  4. Multilabel classification using a classifier ch...

    "Independent" , "Chain 1" , "Chain 2" , "Chain 3" , "Chain 4" , "Chain..."Chain 5" , "Chain 6" , "Chain 7" , "Chain 8" , "Chain 9" , "Chain...
    scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html
    Mon Sep 22 13:26:35 UTC 2025
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  5. Lasso model selection via information criteria ...

    -0.051474 -0.026328 -0.008449 -0.019163 0.074412 -0.039493 -0.068332...-0.089063 -0.044642 -0.011595 -0.036656 0.012191 0.024991 -0.036038...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html
    Mon Sep 22 13:26:35 UTC 2025
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  6. Multi-dimensional scaling scikit-learn 1.7.2 ...

    1.0 , 1.0 ]) s = 100 plt . scatter ( X_true [:, 0 ], X_true...original data. X_nmds *= np . sqrt (( X_true ** 2 ) . sum ()) / np ....
    scikit-learn.org/stable/auto_examples/manifold/plot_mds.html
    Mon Sep 22 13:26:33 UTC 2025
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  7. Comparing anomaly detection algorithms for outl...

    cluster_std = [ 1.5 , 0.3 ], ** blobs_params )[ 0 ], 4.0 * ( make_moons...= True , random_state = 42 , tol = 1e-6 , ), ), ), ( "Isolation...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html
    Mon Sep 22 13:26:33 UTC 2025
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  8. Poisson regression and non-normal loss scikit...

    . ... ... ... ... ... ... ... ... ... ... ... ... 678008 6114326.0..."Exposure" ] . sum () / df [ "Exposure" ] . sum () ) ) fig , ( ax0...
    scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html
    Mon Sep 22 13:26:34 UTC 2025
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  9. Visualization of MLP weights on MNIST scikit-...

    . set_xticks (()) ax . set_yticks (()) plt . show () Total running...axes . ravel ()): ax . matshow ( coef . reshape ( 28 , 28 ), cmap...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html
    Mon Sep 22 13:26:34 UTC 2025
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  10. Pipelining: chaining a PCA and a logistic regre...

    = [( "scaler" , scaler ), ( "pca" , pca ), ( "logistic" , logistic...plot ( np . arange ( 1 , pca . n_components_ + 1 ), pca . exp...
    scikit-learn.org/stable/auto_examples/compose/plot_digits_pipe.html
    Mon Sep 22 13:26:34 UTC 2025
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