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GroupShuffleSplit — scikit-learn 1.7.2 document...
Gallery examples: Visualizing cross-validation behavior in scikit-learnscikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
PowerTransformer — scikit-learn 1.7.2 documenta...
Gallery examples: Compare the effect of different scalers on data with outliers Map data to a normal distributionscikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
TargetEncoder — scikit-learn 1.7.2 documentation
Gallery examples: Comparing Target Encoder with Other Encoders Target Encoder’s Internal Cross fitting Release Highlights for scikit-learn 1.3scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
FunctionTransformer — scikit-learn 1.7.2 docume...
Gallery examples: Time-related feature engineering Column Transformer with Heterogeneous Data Sources Feature transformations with ensembles of trees Poisson regression and non-normal loss Tweedie ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
MetadataRouter — scikit-learn 1.7.2 documentation
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRouter.html -
LabelSpreading — scikit-learn 1.7.2 documentation
Gallery examples: Label Propagation digits: Demonstrating performance Label Propagation digits: Active learning Label Propagation circles: Learning a complex structure Semi-supervised Classificatio...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html -
LabelEncoder — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version LabelEncoder # class sklearn.preprocessing. LabelEnco...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html -
GaussianProcessRegressor — scikit-learn 1.7.2 d...
Gallery examples: Comparison of kernel ridge and Gaussian process regression Forecasting of CO2 level on Mona Loa dataset using Gaussian process regression (GPR) Ability of Gaussian process regress...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
ElasticNetCV — scikit-learn 1.7.2 documentation
Gallery examples: L1-based models for Sparse Signalsscikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
Lasso — scikit-learn 1.7.2 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