Package org.jpmml.xgboost

Class GeneralizedLinearRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Regression

org.jpmml.xgboost.GeneralizedLinearRegression

Direct Known Subclasses:

PoissonRegression

public class GeneralizedLinearRegression
extends Regression

Constructor Summary

Constructors

Constructor	Description
GeneralizedLinearRegression(String name)

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)
float	probToMargin(float value)

Methods inherited from class org.jpmml.xgboost.Regression

encodeLabel

Methods inherited from class org.jpmml.xgboost.ObjFunction

createMiningModel, encodeModel, getName, inverseExp, inverseLogit

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneralizedLinearRegression

public GeneralizedLinearRegression(String name)

Method Detail

probToMargin

public float probToMargin(float value)

Overrides:

probToMargin in class ObjFunction

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