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  1. Compare cross decomposition methods — scikit-le...

    Simple usage of various cross decomposition algorithms: PLSCanonical, PLSRegression, with multivariate response, a.k.a. PLS2, PLSRegression, with univariate response, a.k.a. PLS1, CCA. Given 2 mult...
    scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. Decision Tree Regression with AdaBoost — scikit...

    A decision tree is boosted using the AdaBoost.R2 1 algorithm on a 1D sinusoidal dataset with a small amount of Gaussian noise. 299 boosts (300 decision trees) is compared with a single decision tre...
    scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_regression.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. Gaussian Mixture Model Ellipsoids — scikit-lear...

    Plot the confidence ellipsoids of a mixture of two Gaussians obtained with Expectation Maximisation ( GaussianMixture class) and Variational Inference ( BayesianGaussianMixture class models with a ...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. 6. Dataset transformations — scikit-learn 1.6.1...

    scikit-learn provides a library of transformers, which may clean (see Preprocessing data), reduce (see Unsupervised dimensionality reduction), expand (see Kernel Approximation) or generate (see Fea...
    scikit-learn.org/stable/data_transforms.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. img_to_graph — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version img_to_graph # sklearn.feature_extraction.image. img_...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html
    Sat Apr 19 00:31:20 UTC 2025
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  6. silhouette_samples — scikit-learn 1.6.1 documen...

    Gallery examples: Selecting the number of clusters with silhouette analysis on KMeans clustering
    scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html
    Sat Apr 19 00:31:20 UTC 2025
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  7. murmurhash3_32 — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version murmurhash3_32 # sklearn.utils. murmurhash3_32 ( key ...
    scikit-learn.org/stable/modules/generated/sklearn.utils.murmurhash3_32.html
    Sat Apr 19 00:31:20 UTC 2025
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  8. distance_metrics — scikit-learn 1.6.1 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version distance_metrics # sklearn.metrics.pairwise. distance...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.distance_metrics.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. export_graphviz — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version export_graphviz # sklearn.tree. export_graphviz ( dec...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_graphviz.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. parallel_backend — scikit-learn 1.6.1 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version parallel_backend # class sklearn.utils. parallel_back...
    scikit-learn.org/stable/modules/generated/sklearn.utils.parallel_backend.html
    Sat Apr 19 00:31:21 UTC 2025
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