org.jpmml.xgboost

Class LogisticRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Regression

org.jpmml.xgboost.LogisticRegression

public class LogisticRegression
extends Regression

Constructor Summary

Constructors

Constructor and Description
LogisticRegression()

Method Summary

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

Methods inherited from class org.jpmml.xgboost.Regression

encodeLabel

Methods inherited from class org.jpmml.xgboost.ObjFunction

createMiningModel, inverseExp, inverseLogit

Methods inherited from class java.lang.Object

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

Constructor Detail

LogisticRegression

public LogisticRegression()

Method Detail

probToMargin

public float probToMargin(float value)

Overrides:

probToMargin in class ObjFunction

encodeMiningModel

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

Specified by:

encodeMiningModel in class ObjFunction