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  1. sklearn.compose — scikit-learn 1.8.0 documentation

    Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...
    scikit-learn.org/stable/api/sklearn.compose.html
    Tue Mar 17 03:44:39 UTC 2026
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  2. sklearn.cross_decomposition — scikit-learn 1.8....

    Algorithms for cross decomposition. User guide. See the Cross decomposition section for further details.
    scikit-learn.org/stable/api/sklearn.cross_decomposition.html
    Tue Mar 17 03:44:39 UTC 2026
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  3. sklearn.discriminant_analysis — scikit-learn 1....

    Linear and quadratic discriminant analysis. User guide. See the Linear and Quadratic Discriminant Analysis section for further details.
    scikit-learn.org/stable/api/sklearn.discriminant_analysis.html
    Tue Mar 17 03:44:39 UTC 2026
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  4. sklearn.semi_supervised — scikit-learn 1.8.0 do...

    Semi-supervised learning algorithms. These algorithms utilize small amounts of labeled data and large amounts of unlabeled data for classification tasks. User guide. See the Semi-supervised learnin...
    scikit-learn.org/stable/api/sklearn.semi_supervised.html
    Tue Mar 17 03:44:39 UTC 2026
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  5. sklearn.isotonic — scikit-learn 1.8.0 documenta...

    Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.
    scikit-learn.org/stable/api/sklearn.isotonic.html
    Tue Mar 17 03:44:39 UTC 2026
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  6. Restricted Boltzmann Machine features for digit...

    Documentation for LogisticRegression i...nbviewer.org. LogisticRegression ? Documentation for LogisticRegression i...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html
    Tue Mar 17 03:44:39 UTC 2026
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  7. Topic extraction with Non-negative Matrix Facto...

    only one document or in at least 95% of the documents are removed....text documents using k-means Clustering text documents using...
    scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html
    Tue Mar 17 03:44:36 UTC 2026
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  8. Normal, Ledoit-Wolf and OAS Linear Discriminant...

    This example illustrates how the Ledoit-Wolf and Oracle Approximating Shrinkage (OAS) estimators of covariance can improve classification. Total running time of the script:(0 minutes 8.370 seconds)...
    scikit-learn.org/stable/auto_examples/classification/plot_lda.html
    Tue Mar 17 03:44:39 UTC 2026
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  9. Bisecting K-Means and Regular K-Means Performan...

    This example shows differences between Regular K-Means algorithm and Bisecting K-Means. While K-Means clusterings are different when increasing n_clusters, Bisecting K-Means clustering builds on to...
    scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html
    Tue Mar 17 03:44:38 UTC 2026
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  10. Uses of Package org.springframework.web.servlet...

    document Support classes for document generation,...org.springframework.web.servlet.view.document Packages that use org.spr...
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/web/servlet/view/doc...
    Fri Feb 01 00:00:00 UTC 1980
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