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  1. Effect of varying threshold for self-training &...

    mean ( axis = 1 ), yerr = scores . std ( axis = 1 ), capsize =...( axis = 1 ), yerr = amount_labeled . std ( axis = 1 ), capsize...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon Feb 16 16:32:32 GMT 2026
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  2. explained_variance_score — scikit-learn 1...

    1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...cross-validation). Added in version 1.1. Returns : score float or ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html
    Mon Feb 09 10:22:28 GMT 2026
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  3. Roadmap — scikit-learn 1.8.0 documentation

    cross-version safety from version 1.0. Note: Gael and Olivier think...
    scikit-learn.org/stable/roadmap.html
    Mon Feb 16 16:32:34 GMT 2026
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  4. Online learning of a dictionary of parts of fac...

    - 1 )) buffer . append ( data ) index += 1 if index %...[MiniBatchKMeans] Reassigning 1 cluster centers. Partial fit of...
    scikit-learn.org/stable/auto_examples/cluster/plot_dict_face_patches.html
    Mon Feb 16 16:32:32 GMT 2026
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  5. L1 Penalty and Sparsity in Logistic Regression ...

    axes_row ) in enumerate ( zip (( 1 , 0.1 , 0.01 ), axes )): # Increase...of the models for varying C. C=1.00 Sparsity with L1 penalty: 4.69%...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Mon Feb 16 16:33:25 GMT 2026
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  6. DictVectorizer — scikit-learn 1.8.0 docum...

    1.], [0., 1., 3.]]) >>> v ....'foo' : 1.0 }, ... { 'baz' : 1.0 , 'foo'...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html
    Mon Feb 16 16:32:34 GMT 2026
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  7. make_regression — scikit-learn 1.8.0 docu...

    1.523], [-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579,...scikit-learn 1.4 Release Highlights for scikit-learn 1.4 Release...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html
    Mon Feb 16 16:33:27 GMT 2026
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  8. Gradient Boosting Out-of-Bag estimates — ...

    subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html
    Mon Feb 16 16:32:32 GMT 2026
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  9. max_error — scikit-learn 1.8.0 documentation

    1 ] >>> y_pred = [ 4 , 2 , 7 , 1 ] >>>...max_error ( y_true , y_pred ) 1.0 On this page This Page...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.max_error.html
    Mon Feb 09 10:22:30 GMT 2026
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  10. GammaRegressor — scikit-learn 1.8.0 docum...

    alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html
    Mon Feb 16 16:32:35 GMT 2026
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