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  1. L1-based models for Sparse Signals — scikit-lea...

    1 , n_samples ) y += 0.2 * rng . normal ( 0 , 1 , n_samples...linthresh = 10e-4 , vmin =- 1 , vmax = 1 ), cbar_kws = { "label"...
    scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html
    Wed Sep 03 15:29:59 UTC 2025
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  2. Plot multi-class SGD on the iris dataset — scik...

    feature_names [ 1 ], ) plt . axis ( "tight" ) #...scatter ( X [ idx , 0 ], X [ idx , 1 ], c = color , label = iris ....
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html
    Wed Sep 03 15:30:01 UTC 2025
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  3. gen_batches — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version gen_batches # sklearn.utils. gen_batches ( n , batch_...
    scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html
    Fri Aug 29 15:59:16 UTC 2025
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  4. all_estimators — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version all_estimators # sklearn.utils.discovery. all_estimat...
    scikit-learn.org/stable/modules/generated/sklearn.utils.discovery.all_estimators.html
    Mon Sep 01 13:49:55 UTC 2025
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  5. sklearn.pipeline — scikit-learn 1.7.1 documenta...

    Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.
    scikit-learn.org/stable/api/sklearn.pipeline.html
    Tue Sep 02 21:56:28 UTC 2025
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  6. Generalized Linear Models — scikit-learn 1.7.1 ...

    Examples concerning the sklearn.linear_model module. Comparing Linear Bayesian Regressors Curve Fitting with Bayesian Ridge Regression Decision Boundaries of Multinomial and One-vs-Rest Logistic Re...
    scikit-learn.org/stable/auto_examples/linear_model/index.html
    Wed Sep 03 15:30:01 UTC 2025
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  7. show_versions — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...
    scikit-learn.org/stable/modules/generated/sklearn.show_versions.html
    Wed Sep 03 15:29:59 UTC 2025
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  8. Pipelines and composite estimators — scikit-lea...

    Examples of how to compose transformers and pipelines from other estimators. See the User Guide. Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Concatenating...
    scikit-learn.org/stable/auto_examples/compose/index.html
    Wed Sep 03 15:30:01 UTC 2025
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  9. sklearn.manifold — scikit-learn 1.7.1 documenta...

    Data embedding techniques. User guide. See the Manifold learning section for further details.
    scikit-learn.org/stable/api/sklearn.manifold.html
    Wed Sep 03 15:30:00 UTC 2025
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  10. sklearn.covariance — scikit-learn 1.7.1 documen...

    Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...
    scikit-learn.org/stable/api/sklearn.covariance.html
    Wed Sep 03 15:29:58 UTC 2025
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