Package org.jpmml.xgboost

Class LinearRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Regression

org.jpmml.xgboost.LinearRegression

public class LinearRegression
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
LinearRegression(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)

Methods inherited from class org.jpmml.xgboost.Regression

encodeLabel

Methods inherited from class org.jpmml.xgboost.ObjFunction

encodeModel, getName, probToMargin, probToMarginFunction

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearRegression

public LinearRegression(String name)

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