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ClassifierMixin — scikit-learn 1.5.2 documentation
Gallery examples:__sklearn_is_fitted__ as Developer API Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
VotingClassifier — scikit-learn 1.5.2 documenta...
Gallery examples: Plot class probabilities calculated by the VotingClassifier Plot the decision boundaries of a VotingClassifierscikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
VotingRegressor — scikit-learn 1.5.2 documentation
Gallery examples: Plot individual and voting regression predictionsscikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
PassiveAggressiveRegressor — scikit-learn 1.5.2...
Skip to main content Back to top Ctrl + K GitHub PassiveAggressiveRegressor # class sklearn.linear_model. PassiveAggr...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveRegressor.html -
FunctionTransformer — scikit-learn 1.5.2 docume...
Gallery examples: Feature transformations with ensembles of trees Time-related feature engineering Poisson regression and non-normal loss Tweedie regression on insurance claims Column Transformer w...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
OrdinalEncoder — scikit-learn 1.5.2 documentation
Gallery examples: Release Highlights for scikit-learn 1.3 Release Highlights for scikit-learn 1.2 Categorical Feature Support in Gradient Boosting Combine predictors using stacking Poisson regressi...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
TransformedTargetRegressor — scikit-learn 1.5.2...
Gallery examples: Poisson regression and non-normal loss Common pitfalls in the interpretation of coefficients of linear models Effect of transforming the targets in regression modelscikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
RBF — scikit-learn 1.5.2 documentation
Gallery examples: Classifier comparison Plot classification probability Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process reg...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
deprecated — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub deprecated # class sklearn.utils. deprecated ( extra = '' ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.deprecated.html -
MetadataRouter — scikit-learn 1.5.2 documentation
Gallery examples: Metadata Routingscikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRouter.html