Package weka.classifiers.trees

Interface Summary

Interface	Description
XGBoost.ParamValueProvider	Provides a value suitable as a proxy for the XGBoost parameter system.

Class Summary

Class	Description
M5P2	M5Base.
RandomModelTrees
RandomRegressionForest	RandomRegressionForest: subtract mean and pls, then grow completely random trees (leaf: min ..
XGBoost	Classifier implementing XGBoost.

Enum Summary

Enum	Description
XGBoost.BoosterType	The available types of booster.
XGBoost.FeatureSelector	Available feature selectors.
XGBoost.GrowPolicy	Available grow policy settings.
XGBoost.NormaliseType	Available normalisation-type settings.
XGBoost.Objective	The set of possible learning objectives.
XGBoost.Predictor	Available predictors.
XGBoost.ProcessType	Available process-type settings.
XGBoost.SampleType	Available sample-type settings.
XGBoost.TreeMethod	Possible tree-method settings.
XGBoost.Updater	Available updaters.
XGBoost.Verbosity	The possible verbosity levels.

Annotation Types Summary

Annotation Type	Description
XGBoost.XGBoostParameter	Marks a field as participating in the XGBoost parameter system.