org.jpmml.xgboost

Class GeneralizedLinearRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Regression

org.jpmml.xgboost.GeneralizedLinearRegression

Direct Known Subclasses:

GammaRegression, LogisticRegression, PoissonRegression, TweedieRegression

public abstract class GeneralizedLinearRegression
extends Regression

Constructor Summary

Constructors

Constructor and Description
GeneralizedLinearRegression()

Method Summary

Methods

Modifier and Type	Method and Description
org.dmg.pmml.mining.MiningModel	encodeMiningModel(List<RegTree> regTrees, float base_score, Integer ntreeLimit, org.jpmml.converter.Schema schema)
abstract org.dmg.pmml.regression.RegressionModel.NormalizationMethod	getNormalizationMethod()

Methods inherited from class org.jpmml.xgboost.Regression

encodeLabel

Methods inherited from class org.jpmml.xgboost.ObjFunction

createMiningModel

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneralizedLinearRegression

public GeneralizedLinearRegression()

Method Detail

getNormalizationMethod

public abstract org.dmg.pmml.regression.RegressionModel.NormalizationMethod getNormalizationMethod()

encodeMiningModel

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

Specified by:

encodeMiningModel in class ObjFunction