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  1. Version 0.18 — scikit-learn 1.8.0 documen...

    Extensive documentation and examples are provided....UserWarning is raised, see the documentation on model persistence for...
    scikit-learn.org/stable/whats_new/v0.18.html
    Mon Jan 26 11:09:12 GMT 2026
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  2. Advanced Plotting With Partial Dependence &#821...

    Documentation for Pipeline i Fitted Parameters...False StandardScaler ? Documentation for StandardScaler Parameters...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_partial_dependence_visualization_api.html
    Mon Jan 26 11:09:14 GMT 2026
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  3. Balance model complexity and cross-validated sc...

    Documentation for GridSearchCV i Fitted...best_estimator_: Pipeline PCA ? Documentation for PCA Parameters n_components...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html
    Mon Jan 26 11:09:12 GMT 2026
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  4. SpectralCoclustering — scikit-learn 1.8.0...

    Co-clustering documents and words using bipartite...Gallery examples # Biclustering documents with the Spectral Co-clustering...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html
    Mon Jan 26 11:09:14 GMT 2026
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  5. nan_euclidean_distances — scikit-learn 1....

    org/abstract/document/4310090/ Examples >>>...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html
    Mon Jan 26 14:16:30 GMT 2026
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  6. The Johnson-Lindenstrauss bound for embedding w...

    on the 20 newsgroups text document (TF-IDF word frequencies)...newsgroups dataset some 300 documents with 100k features in total...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Mon Jan 26 11:09:12 GMT 2026
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  7. homogeneity_score — scikit-learn 1.8.0 do...

    text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html
    Mon Jan 26 14:16:29 GMT 2026
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  8. Logistic function — scikit-learn 1.7.2 do...

    Shown in the plot is how the logistic regression would, in this synthetic dataset, classify values as either 0 or 1, i.e. class one or two, using the logistic curve. Total running time of the scrip...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html
    Fri Dec 05 17:52:55 GMT 2025
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  9. sklearn.base — scikit-learn 1.8.0 documen...

    Base classes for all estimators and various utility functions.
    scikit-learn.org/stable/api/sklearn.base.html
    Mon Jan 26 11:09:16 GMT 2026
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  10. sklearn.gaussian_process — scikit-learn 1...

    Gaussian process based regression and classification. User guide. See the Gaussian Processes section for further details. Kernels: A set of kernels that can be combined by operators and used in Gau...
    scikit-learn.org/stable/api/sklearn.gaussian_process.html
    Mon Jan 26 11:09:16 GMT 2026
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