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  1. KernelRidge — scikit-learn 1.6.1 documentation

    to the kernel; see the documentation for sklearn.metrics.pairwise....
    scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. Wikipedia principal eigenvector — scikit-learn ...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. make_low_rank_matrix — scikit-learn 1.6.1 docum...

    faces TF-IDF vectors of text documents crawled from the web Read...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. chi2 — scikit-learn 1.6.1 documentation

    term counts in document classification), relative...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html
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  5. RandomizedSearchCV — scikit-learn 1.6.1 documen...

    best_estimator_ is defined (see the documentation for the refit parameter...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html
    Sat Apr 19 00:31:20 UTC 2025
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  6. Version 1.3 — scikit-learn 1.6.1 documentation

    previously didn’t work as documented – or according to reasonable...accepts class_names=True as documented. #26903 by Thomas Roehr Fix...
    scikit-learn.org/stable/whats_new/v1.3.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. Version 0.14 — scikit-learn 1.6.1 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
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  8. LinearSVC — scikit-learn 1.6.1 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
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  9. API Reference — scikit-learn 1.6.1 documentation

    Convert a collection of text documents to a matrix of token counts....Convert a collection of text documents to a matrix of token occurrences....
    scikit-learn.org/stable/api/index.html
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  10. Adjustment for chance in clustering performance...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html
    Sat Apr 19 00:31:21 UTC 2025
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