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  1. A demo of the Spectral Biclustering algorithm —...

    consensus score: 1.0 The score is between 0 and 1, where 1 corresponds...and adds 1 to each to ensure that the labels start from 1 instead...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Thu Oct 09 16:57:48 UTC 2025
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  2. Early stopping in Gradient Boosting — scikit-le...

    axes [ 1 ] . set_xlabel ( "Boosting Iterations" ) axes [ 1 ] . set_ylabel...(Validation)" ) axes [ 1 ] . set_yscale ( "log" ) axes [ 1 ] . legend ()...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Thu Oct 09 16:57:45 UTC 2025
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  3. Two-class AdaBoost — scikit-learn 1.7.2 documen...

    random_state = 1 ) X2 , y2 = make_gaussian_quantiles...es ( mean = ( 3 , 3 ), cov = 1.5 , n_samples = 300 , n_features...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html
    Thu Oct 09 16:57:45 UTC 2025
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  4. PoissonRegressor — scikit-learn 1.7.2 documenta...

    predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html
    Thu Oct 09 16:57:45 UTC 2025
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  5. SpectralCoclustering — scikit-learn 1.7.2 docum...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...clustering . row_labels_ array([0, 1, 1, 0, 0, 0], dtype=int32) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html
    Thu Oct 09 16:57:48 UTC 2025
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  6. SGD: Weighted samples — scikit-learn 1.7.2 docu...

    ) + [ 1 , 1 ], np . random . randn ( 10 , 2 )] y = [ 1 ] * 10...10 + [ - 1 ] * 10 sample_weight = 100 * np . abs ( np . random...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html
    Thu Oct 09 16:57:45 UTC 2025
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  7. Version 0.22 — scikit-learn 1.7.2 documentation

    is given for both n_jobs=1 or n_jobs>1 both with shared memory...results between n_jobs=1 and n_jobs>1 due to the handling of...
    scikit-learn.org/stable/whats_new/v0.22.html
    Tue Oct 07 17:07:18 UTC 2025
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  8. SGDRegressor — scikit-learn 1.7.2 documentation

    l1_ratio <= 1. l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....True , verbose = 0 , epsilon = 0.1 , random_state = None , learning_rate...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Thu Oct 09 16:57:48 UTC 2025
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  9. LocallyLinearEmbedding — scikit-learn 1.7.2 doc...

    n_neighbors > n_components * (1 + (n_components + 1) / 2 . see reference...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.LocallyLinearEmbedding.html
    Thu Oct 09 16:57:49 UTC 2025
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  10. BaggingRegressor — scikit-learn 1.7.2 documenta...

    max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html
    Thu Oct 09 16:57:48 UTC 2025
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