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

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
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)
ObjFunction.ProbToMarginFunction	probToMarginFunction()

Methods inherited from class org.jpmml.xgboost.Regression

encodeLabel

Methods inherited from class org.jpmml.xgboost.ObjFunction

encodeModel, getName, probToMargin

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneralizedLinearRegression

public GeneralizedLinearRegression(String name)

Method Detail

probToMarginFunction

public ObjFunction.ProbToMarginFunction probToMarginFunction()

Overrides:

probToMarginFunction 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