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  1. check_is_fitted — scikit-learn 1.7.2 documentation

    Gallery examples: Inductive Clustering__sklearn_is_fitted__ as Developer API Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html
    Fri Oct 10 15:14:36 UTC 2025
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  2. 1. Supervised learning — scikit-learn 1.7.2 doc...

    Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, Orthogonal Matching Pur...
    scikit-learn.org/stable/supervised_learning.html
    Fri Oct 10 15:14:35 UTC 2025
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  3. Neighborhood Components Analysis Illustration —...

    This example illustrates a learned distance metric that maximizes the nearest neighbors classification accuracy. It provides a visual representation of this metric compared to the original point sp...
    scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html
    Fri Oct 10 15:14:35 UTC 2025
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  4. Map data to a normal distribution — scikit-lear...

    This example demonstrates the use of the Box-Cox and Yeo-Johnson transforms through PowerTransformer to map data from various distributions to a normal distribution. The power transform is useful a...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html
    Fri Oct 10 15:14:35 UTC 2025
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  5. Multi-dimensional scaling — scikit-learn 1.7.2 ...

    An illustration of the metric and non-metric MDS on generated noisy data. Dataset preparation: We start by uniformly generating 20 points in a 2D space. Now we compute pairwise distances between al...
    scikit-learn.org/stable/auto_examples/manifold/plot_mds.html
    Fri Oct 10 15:14:36 UTC 2025
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  6. Density Estimation for a Gaussian mixture — sci...

    Plot the density estimation of a mixture of two Gaussians. Data is generated from two Gaussians with different centers and covariance matrices. Total running time of the script:(0 minutes 0.117 sec...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_pdf.html
    Fri Oct 10 15:14:36 UTC 2025
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  7. Lasso on dense and sparse data — scikit-learn 1...

    We show that linear_model.Lasso provides the same results for dense and sparse data and that in the case of sparse data the speed is improved. Comparing the two Lasso implementations on Dense data:...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_dense_vs_sparse_data.html
    Fri Oct 10 15:14:36 UTC 2025
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  8. _safe_indexing — scikit-learn 1.7.2 documentation

    Warning This utility is documented, but private . This means...
    scikit-learn.org/stable/modules/generated/sklearn.utils._safe_indexing.html
    Thu Oct 09 16:57:48 UTC 2025
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  9. check_array — scikit-learn 1.7.2 documentation

    will link to the imputer documentation. Added in version 1.1.0....
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html
    Thu Oct 09 16:57:48 UTC 2025
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  10. Common pitfalls in the interpretation of coeffi...

    Documentation for Pipeline i Fitted Parameters...columntransformer: ColumnTransformer ? Documentation for columntransformer: ColumnTransformer...
    scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html
    Fri Oct 10 15:14:35 UTC 2025
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