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  1. LabelPropagation — scikit-learn 1.8.0 doc...

    Skip to main content Back to top Ctrl + K GitHub Choose version LabelPropagation # class sklearn.semi_supervised. Lab...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html
    Mon Jan 19 11:28:23 GMT 2026
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  2. gen_even_slices — scikit-learn 1.8.0 docu...

    Gallery examples: Poisson regression and non-normal loss
    scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html
    Mon Jan 19 11:28:23 GMT 2026
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  3. export_text — scikit-learn 1.8.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version export_text # sklearn.tree. export_text ( decision_tr...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Mon Jan 19 11:28:24 GMT 2026
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  4. as_float_array — scikit-learn 1.8.0 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version as_float_array # sklearn.utils. as_float_array ( X , ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html
    Mon Jan 19 11:28:23 GMT 2026
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  5. Demonstration of multi-metric evaluation on cro...

    Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...
    scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html
    Mon Jan 19 11:28:23 GMT 2026
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  6. Robust covariance estimation and Mahalanobis di...

    This example shows covariance estimation with Mahalanobis distances on Gaussian distributed data. For Gaussian distributed data, the distance of an observation x_i to the mode of the distribution c...
    scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html
    Mon Jan 19 11:28:24 GMT 2026
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  7. Linear and Quadratic Discriminant Analysis with...

    This example plots the covariance ellipsoids of each class and the decision boundary learned by LinearDiscriminantAnalysis(LDA) and QuadraticDiscriminantAnalysis(QDA). The ellipsoids display the do...
    scikit-learn.org/stable/auto_examples/classification/plot_lda_qda.html
    Mon Jan 19 11:28:23 GMT 2026
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  8. Comparison of the K-Means and MiniBatchKMeans c...

    We want to compare the performance of the MiniBatchKMeans and KMeans: the MiniBatchKMeans is faster, but gives slightly different results (see Mini Batch K-Means). We will cluster a set of data, fi...
    scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html
    Mon Jan 19 11:28:25 GMT 2026
      105.5K bytes
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  9. HuberRegressor vs Ridge on dataset with strong ...

    Fit Ridge and HuberRegressor on a dataset with outliers. The example shows that the predictions in ridge are strongly influenced by the outliers present in the dataset. The Huber regressor is less ...
    scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html
    Mon Jan 19 11:28:24 GMT 2026
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  10. Lasso, Lasso-LARS, and Elastic Net paths &#8212...

    This example shows how to compute the “paths” of coefficients along the Lasso, Lasso-LARS, and Elastic Net regularization paths. In other words, it shows the relationship between the regularization...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
    Mon Jan 19 11:28:24 GMT 2026
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