org.jpmml.xgboost

Class MultinomialLogisticRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Classification

org.jpmml.xgboost.MultinomialLogisticRegression

public class MultinomialLogisticRegression
extends Classification

Constructor Summary

Constructors

Constructor and Description
MultinomialLogisticRegression(String name, int num_class)

Method Summary

Modifier and Type	Method and Description
org.dmg.pmml.mining.MiningModel	encodeMiningModel(List<RegTree> trees, List<Float> weights, float base_score, Integer ntreeLimit, org.jpmml.converter.Schema schema)

Methods inherited from class org.jpmml.xgboost.Classification

encodeLabel, encodeMiningModel, num_class

Methods inherited from class org.jpmml.xgboost.ObjFunction

createMiningModel, getName, inverseExp, inverseLogit, probToMargin

Methods inherited from class java.lang.Object

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

Constructor Detail

MultinomialLogisticRegression

public MultinomialLogisticRegression(String name,
                                     int num_class)

Method Detail

encodeMiningModel

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

Specified by:

encodeMiningModel in class ObjFunction