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  1. Plot Ridge coefficients as a function of the re...

    Shows the effect of collinearity in the coefficients of an estimator. Ridge Regression is the estimator used in this example. Each color represents a different feature of the coefficient vector, an...
    scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_path.html
    Sat Oct 11 07:51:26 UTC 2025
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  2. Permutation Importance with Multicollinear or C...

    In this example, we compute the permutation_importance of the features to a trained RandomForestClassifier using the Breast cancer Wisconsin (diagnostic) dataset. The model can easily get about 97%...
    scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html
    Sat Oct 11 07:51:25 UTC 2025
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  3. Outlier detection on a real data set — scikit-l...

    This example illustrates the need for robust covariance estimation on a real data set. It is useful both for outlier detection and for a better understanding of the data structure. We selected two ...
    scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html
    Sat Oct 11 07:51:25 UTC 2025
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  4. sklearn.feature_selection — scikit-learn 1.7.2 ...

    Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.
    scikit-learn.org/stable/api/sklearn.feature_selection.html
    Sat Oct 11 07:51:24 UTC 2025
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  5. sklearn.neural_network — scikit-learn 1.7.2 doc...

    Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.
    scikit-learn.org/stable/api/sklearn.neural_network.html
    Sat Oct 11 07:51:26 UTC 2025
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  6. fetch_lfw_people — scikit-learn 1.7.2 documenta...

    Gallery examples: Faces recognition example using eigenfaces and SVMs
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html
    Sat Oct 11 07:51:27 UTC 2025
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  7. load_sample_images — scikit-learn 1.7.2 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_images # sklearn.datasets. load_sample_im...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html
    Sat Oct 11 07:51:27 UTC 2025
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  8. locally_linear_embedding — scikit-learn 1.7.2 d...

    Gallery examples: Swiss Roll And Swiss-Hole Reduction
    scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html
    Sat Oct 11 07:51:26 UTC 2025
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  9. enable_iterative_imputer — scikit-learn 1.7.2 d...

    Enables IterativeImputer The API and results of this estimator might change without any deprecation cycle. Importing this file dynamically sets IterativeImputer as an attribute of the impute module:
    scikit-learn.org/stable/modules/generated/sklearn.experimental.enable_iterative_imputer.html
    Sat Oct 11 07:51:26 UTC 2025
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  10. orthogonal_mp_gram — scikit-learn 1.7.2 documen...

    Skip to main content Back to top Ctrl + K GitHub Choose version orthogonal_mp_gram # sklearn.linear_model. orthogonal...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html
    Sat Oct 11 07:51:27 UTC 2025
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