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  1. LassoLars — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version LassoLars # class sklearn.linear_model. LassoLars ( a...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html
    Sat Aug 23 16:32:04 UTC 2025
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  2. Lars — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version Lars # class sklearn.linear_model. Lars ( * , fit_int...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html
    Sat Aug 23 16:32:03 UTC 2025
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  3. KFold — scikit-learn 1.7.1 documentation

    Gallery examples: Feature agglomeration vs. univariate selection Comparing Random Forests and Histogram Gradient Boosting models Gradient Boosting Out-of-Bag estimates Visualizing cross-validation ...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. Version 0.14 — scikit-learn 1.7.1 documentation

    (for scikit-learn) to the documentation. See Choosing the right...users who try it out on tiny document collections. A value of at...
    scikit-learn.org/stable/whats_new/v0.14.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. LinearSVC — scikit-learn 1.7.1 documentation

    liblinear in the narrative documentation. References LIBLINEAR: A...SVCs Classification of text documents using sparse features Classification...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html
    Sat Aug 23 16:32:03 UTC 2025
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  6. 1.5. Stochastic Gradient Descent — scikit-learn...

    Examples Classification of text documents using sparse features 1.5.5....
    scikit-learn.org/stable/modules/sgd.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. randomized_range_finder — scikit-learn 1.7.1 do...

    Skip to main content Back to top Ctrl + K GitHub Choose version randomized_range_finder # sklearn.utils.extmath. rand...
    scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_range_finder.html
    Wed Aug 20 16:02:08 UTC 2025
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  8. compute_sample_weight — scikit-learn 1.7.1 docu...

    Skip to main content Back to top Ctrl + K GitHub Choose version compute_sample_weight # sklearn.utils.class_weight. c...
    scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html
    Fri Aug 22 18:00:33 UTC 2025
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  9. compute_class_weight — scikit-learn 1.7.1 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version compute_class_weight # sklearn.utils.class_weight. co...
    scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_class_weight.html
    Fri Aug 22 18:00:34 UTC 2025
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  10. Using KBinsDiscretizer to discretize continuous...

    The example compares prediction result of linear regression (linear model) and decision tree (tree based model) with and without discretization of real-valued features. As is shown in the result be...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html
    Sat Aug 23 16:32:04 UTC 2025
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