org.jpmml.xgboost

Class Classification

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Classification

Direct Known Subclasses:

BinomialLogisticRegression, HingeClassification, MultinomialLogisticRegression

public abstract class Classification
extends ObjFunction

Constructor Summary

Constructors

Constructor and Description
Classification(String name, int num_class)

Method Summary

Modifier and Type	Method and Description
org.jpmml.converter.Label	encodeLabel(String targetName, List<?> targetCategories, org.jpmml.converter.PMMLEncoder encoder)
org.dmg.pmml.mining.MiningModel	encodeMiningModel(int targetIndex, List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, org.jpmml.converter.Schema schema)
int	num_class()

Methods inherited from class org.jpmml.xgboost.ObjFunction

createMiningModel, encodeMiningModel, getName, inverseExp, inverseLogit, probToMargin

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Classification

public Classification(String name,
                      int num_class)

Method Detail

encodeLabel

public org.jpmml.converter.Label encodeLabel(String targetName,
                                             List<?> targetCategories,
                                             org.jpmml.converter.PMMLEncoder encoder)

Specified by:

encodeLabel in class ObjFunction

encodeMiningModel

public org.dmg.pmml.mining.MiningModel encodeMiningModel(int targetIndex,
                                                         List<RegTree> trees,
                                                         List<Float> weights,
                                                         float base_score,
                                                         Integer ntreeLimit,
                                                         org.jpmml.converter.Schema schema)

Overrides:

encodeMiningModel in class ObjFunction

num_class

public int num_class()