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  1. Bunch — scikit-learn 1.7.1 documentation

    Gallery examples: Species distribution modeling Principal Component Analysis (PCA) on Iris Dataset
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Sat Aug 23 16:32:03 UTC 2025
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  2. HistGradientBoostingRegressor — scikit-learn 1....

    Gallery examples: Time-related feature engineering Model Complexity Influence Lagged features for time series forecasting Comparing Random Forests and Histogram Gradient Boosting models Categorical...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Sat Aug 23 16:32:04 UTC 2025
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  3. QuantileTransformer — scikit-learn 1.7.1 docume...

    Gallery examples: Effect of transforming the targets in regression model Partial Dependence and Individual Conditional Expectation Plots Compare the effect of different scalers on data with outlier...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. RobustScaler — scikit-learn 1.7.1 documentation

    Gallery examples: Imputing missing values with variants of IterativeImputer Imputing missing values before building an estimator Evaluation of outlier detection estimators Compare the effect of dif...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. PrecisionRecallDisplay — scikit-learn 1.7.1 doc...

    Gallery examples: Visualizations with Display Objects Post-tuning the decision threshold for cost-sensitive learning Precision-Recall
    scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html
    Sat Aug 23 16:32:04 UTC 2025
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  6. MinMaxScaler — scikit-learn 1.7.1 documentation

    Gallery examples: Time-related feature engineering Image denoising using kernel PCA Selecting dimensionality reduction with Pipeline and GridSearchCV Univariate Feature Selection Recursive feature ...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. QuantileRegressor — scikit-learn 1.7.1 document...

    Gallery examples: Quantile regression
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html
    Sat Aug 23 16:32:03 UTC 2025
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  8. QuadraticDiscriminantAnalysis — scikit-learn 1....

    Gallery examples: Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal...
    Sat Aug 23 16:32:04 UTC 2025
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  9. GradientBoostingClassifier — scikit-learn 1.7.1...

    Gallery examples: Feature transformations with ensembles of trees Gradient Boosting Out-of-Bag estimates Gradient Boosting regularization Feature discretization
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
    Sat Aug 23 16:32:04 UTC 2025
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  10. GaussianProcessClassifier — scikit-learn 1.7.1 ...

    Gallery examples: Plot classification probability Classifier comparison Probabilistic predictions with Gaussian process classification (GPC) Gaussian process classification (GPC) on iris dataset Is...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html
    Sat Aug 23 16:32:04 UTC 2025
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