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  1. normalize — scikit-learn 1.7.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version normalize # sklearn.preprocessing. normalize ( X , no...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html
    Wed Jul 02 18:21:48 UTC 2025
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  2. MultiOutputRegressor — scikit-learn 1.7.0 docum...

    Gallery examples: Comparing random forests and the multi-output meta estimator
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html
    Wed Jul 02 18:21:48 UTC 2025
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  3. Calibration — scikit-learn 1.7.0 documentation

    Examples illustrating the calibration of predicted probabilities of classifiers. Comparison of Calibration of Classifiers Probability Calibration curves Probability Calibration for 3-class classifi...
    scikit-learn.org/stable/auto_examples/calibration/index.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. LogisticRegressionCV — scikit-learn 1.7.0 docum...

    Gallery examples: Comparison of Calibration of Classifiers Importance of Feature Scaling
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. LassoCV — scikit-learn 1.7.0 documentation

    Gallery examples: Combine predictors using stacking Common pitfalls in the interpretation of coefficients of linear models L1-based models for Sparse Signals Lasso model selection: AIC-BIC / cross-...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoCV.html
    Thu Jul 03 11:42:04 UTC 2025
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  6. ElasticNet — scikit-learn 1.7.0 documentation

    Gallery examples: Fitting an Elastic Net with a precomputed Gram Matrix and Weighted Samples L1-based models for Sparse Signals Effect of model regularization on training and test error Release Hig...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNet.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. OrthogonalMatchingPursuit — scikit-learn 1.7.0 ...

    Gallery examples: Orthogonal Matching Pursuit
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuit.html
    Thu Jul 03 11:42:04 UTC 2025
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  8. PartialDependenceDisplay — scikit-learn 1.7.0 d...

    Gallery examples: Features in Histogram Gradient Boosting Trees Monotonic Constraints Partial Dependence and Individual Conditional Expectation Plots Advanced Plotting With Partial Dependence Relea...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html
    Thu Jul 03 11:42:04 UTC 2025
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  9. Miscellaneous — scikit-learn 1.7.0 documentation

    Miscellaneous and introductory examples for scikit-learn. Advanced Plotting With Partial Dependence Comparing anomaly detection algorithms for outlier detection on toy datasets Comparison of kernel...
    scikit-learn.org/stable/auto_examples/miscellaneous/index.html
    Thu Jul 03 11:42:04 UTC 2025
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  10. DecisionTreeClassifier — scikit-learn 1.7.0 doc...

    Gallery examples: Classifier comparison Multi-class AdaBoosted Decision Trees Two-class AdaBoost Plot the decision surfaces of ensembles of trees on the iris dataset Demonstration of multi-metric e...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html
    Thu Jul 03 11:42:05 UTC 2025
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