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TransformerTags — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TransformerTags # class sklearn.utils. TransformerTag...scikit-learn.org/stable/modules/generated/sklearn.utils.TransformerTags.html -
DictVectorizer — scikit-learn 1.7.1 documentation
Gallery examples: Column Transformer with Heterogeneous Data Sources FeatureHasher and DictVectorizer Comparisonscikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html -
GradientBoostingRegressor — scikit-learn 1.7.1 ...
Gallery examples: Model Complexity Influence Early stopping in Gradient Boosting Prediction Intervals for Gradient Boosting Regression Gradient Boosting regression Plot individual and voting regres...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
Pipeline — scikit-learn 1.7.1 documentation
Gallery examples: Feature agglomeration vs. univariate selection Column Transformer with Heterogeneous Data Sources Column Transformer with Mixed Types Selecting dimensionality reduction with Pipel...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
Classification — scikit-learn 1.7.1 documentation
General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...scikit-learn.org/stable/auto_examples/classification/index.html -
ConstantKernel — scikit-learn 1.7.1 documentation
Gallery examples: Iso-probability lines for Gaussian Processes classification (GPC) Illustration of prior and posterior Gaussian process for different kernelsscikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.ConstantKernel.html -
MultiTaskLasso — scikit-learn 1.7.1 documentation
Gallery examples: Joint feature selection with multi-task Lassoscikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html -
HuberRegressor — scikit-learn 1.7.1 documentation
Gallery examples: HuberRegressor vs Ridge on dataset with strong outliers Ridge coefficients as a function of the L2 Regularization Robust linear estimator fittingscikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
GammaRegressor — scikit-learn 1.7.1 documentation
Gallery examples: Tweedie regression on insurance claims Release Highlights for scikit-learn 0.23scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
SelectFromModel — scikit-learn 1.7.1 documentation
Gallery examples: Model-based and sequential feature selectionscikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html