Uses of Enum Class
org.tribuo.common.xgboost.XGBoostTrainer.TreeMethod
Packages that use XGBoostTrainer.TreeMethod
Package
Description
Provides an interface to XGBoost for classification problems.
Provides abstract classes for interfacing with XGBoost abstracting away all the
Output
dependent parts.Provides an interface to XGBoost for regression problems.
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Uses of XGBoostTrainer.TreeMethod in org.tribuo.classification.xgboost
Fields in org.tribuo.classification.xgboost declared as XGBoostTrainer.TreeMethodConstructors in org.tribuo.classification.xgboost with parameters of type XGBoostTrainer.TreeMethodModifierConstructorDescriptionXGBoostClassificationTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer. -
Uses of XGBoostTrainer.TreeMethod in org.tribuo.common.xgboost
Methods in org.tribuo.common.xgboost that return XGBoostTrainer.TreeMethodModifier and TypeMethodDescriptionstatic XGBoostTrainer.TreeMethod
Returns the enum constant of this class with the specified name.static XGBoostTrainer.TreeMethod[]
XGBoostTrainer.TreeMethod.values()
Returns an array containing the constants of this enum class, in the order they are declared.Constructors in org.tribuo.common.xgboost with parameters of type XGBoostTrainer.TreeMethodModifierConstructorDescriptionprotected
XGBoostTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer. -
Uses of XGBoostTrainer.TreeMethod in org.tribuo.regression.xgboost
Constructors in org.tribuo.regression.xgboost with parameters of type XGBoostTrainer.TreeMethodModifierConstructorDescriptionXGBoostRegressionTrainer
(XGBoostTrainer.BoosterType boosterType, XGBoostTrainer.TreeMethod treeMethod, XGBoostRegressionTrainer.RegressionType rType, int numTrees, double eta, double gamma, int maxDepth, double minChildWeight, double subsample, double featureSubsample, double lambda, double alpha, int nThread, XGBoostTrainer.LoggingVerbosity verbosity, long seed) Create an XGBoost trainer.