Uses of Class
org.jpmml.xgboost.RegTree

Packages that use RegTree

Package	Description
org.jpmml.xgboost

Uses of RegTree in org.jpmml.xgboost

Methods in org.jpmml.xgboost that return RegTree

Modifier and Type	Method and Description
RegTree[]	GBTree.trees()

Method parameters in org.jpmml.xgboost with type arguments of type RegTree

Modifier and Type	Method and Description
protected static org.dmg.pmml.mining.MiningModel	ObjFunction.createMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	LogisticRegression.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	MultinomialLogisticRegression.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	LinearRegression.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
abstract org.dmg.pmml.mining.MiningModel	ObjFunction.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	LambdaMART.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	BinomialLogisticRegression.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	HingeClassification.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)
org.dmg.pmml.mining.MiningModel	GeneralizedLinearRegression.encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, boolean numeric, org.jpmml.converter.Schema schema)