Package 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

Nested Class Summary

Nested classes/interfaces inherited from class org.jpmml.xgboost.ObjFunction

ObjFunction.ProbToMarginFunction

Field Summary

Fields inherited from class org.jpmml.xgboost.ObjFunction

DEFAULT_TARGET_INDEX

Constructor Summary

Constructors

Constructor	Description
MultinomialLogisticRegression(String name, int num_class)

Method Summary

Modifier and Type	Method	Description
org.dmg.pmml.mining.MiningModel	encodeModel(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, encodeModel, num_class

Methods inherited from class org.jpmml.xgboost.ObjFunction

getName, probToMargin, probToMarginFunction

Methods inherited from class java.lang.Object

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

Constructor Detail

MultinomialLogisticRegression

public MultinomialLogisticRegression(String name,
                                     int num_class)

Method Detail

encodeModel

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

Specified by:

encodeModel in class ObjFunction