All Classes and Interfaces

Class	Description
Dart	Gradient boosted DART tree implementation.
FVec	Interface of feature vector.
FVec.Transformer
FVecArrayImpl
FVecArrayImpl.FVecDoubleArrayImpl
FVecArrayImpl.FVecFloatArrayImpl
FVecMapImpl
GBBase
GBLinear	Linear booster implementation
GBLinear.ModelParam
GBTree	Gradient boosted tree implementation.
GBTree.ModelParam
GradBooster	Interface of gradient boosting model.
GradBooster.Factory
ModelReader	Reads the Xgboost model from stream.
ObjFunction	Objective function implementations.
ObjFunction.RegLossObjLogistic	Logistic regression.
ObjFunction.RegLossObjLogistic_Jafama	Logistic regression.
ObjFunction.SoftmaxMultiClassObjClassify	Multiclass classification.
ObjFunction.SoftmaxMultiClassObjProb	Multiclass classification (predicted probability).
ObjFunction.SoftmaxMultiClassObjProb_Jafama	Multiclass classification (predicted probability).
Predictor	Predicts using the Xgboost model.
Predictor.ModelParam	Parameters.
PredictorConfiguration
PredictorConfiguration.Builder
RegTree	Regression tree.
RegTree.Node
RegTree.Param	Parameters.
RegTree.RTreeNodeStat	Statistics each node in tree.
SparkModelParam