Package org.jpmml.xgboost

Class BinomialLogisticRegression

java.lang.Object

org.jpmml.xgboost.ObjFunction

org.jpmml.xgboost.Classification

org.jpmml.xgboost.BinomialLogisticRegression

public class BinomialLogisticRegression
extends Classification

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
BinomialLogisticRegression(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.Classification

encodeLabel, encodeModel, num_class

Methods inherited from class org.jpmml.xgboost.ObjFunction

getName, probToMargin

Methods inherited from class java.lang.Object

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

Constructor Detail

BinomialLogisticRegression

public BinomialLogisticRegression(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