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  1. Lasso — scikit-learn 1.8.0 documentation

    Gallery examples: Compressive sensing: tomography reconstruction with L1 prior (Lasso) L1-based models for Sparse Signals Lasso on dense and sparse data Joint feature selection with multi-task Lass...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. lars_path_gram — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version lars_path_gram # sklearn.linear_model. lars_path_gram...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path_gram.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. StandardScaler — scikit-learn 1.8.0 documentation

    Gallery examples: Faces recognition example using eigenfaces and SVMs Prediction Latency Classifier comparison Comparing different clustering algorithms on toy datasets Demo of DBSCAN clustering al...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html
    Mon Mar 23 20:39:21 UTC 2026
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  4. LinearRegression — scikit-learn 1.8.0 documenta...

    Gallery examples: Principal Component Regression vs Partial Least Squares Regression Plot individual and voting regression predictions Failure of Machine Learning to infer causal effects Comparing ...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. RBF — scikit-learn 1.8.0 documentation

    Gallery examples: Plot classification probability Classifier comparison Comparison of kernel ridge and Gaussian process regression Probabilistic predictions with Gaussian process classification (GP...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. make_column_selector — scikit-learn 1.8.0 docum...

    Gallery examples: Column Transformer with Mixed Types Categorical Feature Support in Gradient Boosting Combine predictors using stacking Evaluation of outlier detection estimators
    scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_selector.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. ClassifierMixin — scikit-learn 1.8.0 documentation

    Gallery examples:__sklearn_is_fitted__ as Developer API Metadata Routing
    scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html
    Mon Mar 23 20:39:20 UTC 2026
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  8. DensityMixin — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version DensityMixin # class sklearn.base. DensityMixin [sour...
    scikit-learn.org/stable/modules/generated/sklearn.base.DensityMixin.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. graphical_lasso — scikit-learn 1.8.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version graphical_lasso # sklearn.covariance. graphical_lasso...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.graphical_lasso.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. AgglomerativeClustering — scikit-learn 1.8.0 do...

    Gallery examples: Agglomerative clustering with different metrics Plot Hierarchical Clustering Dendrogram Comparing different clustering algorithms on toy datasets A demo of structured Ward hierarc...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Mon Mar 23 20:39:21 UTC 2026
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