sklearn.ensemble.gradient_boosting

Class MultinomialDeviance

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.ensemble.gradient_boosting.LossFunction

sklearn.ensemble.gradient_boosting.MultinomialDeviance

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>

public class MultinomialDeviance
extends LossFunction

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Constructor Summary

Constructors

Constructor and Description
MultinomialDeviance(String module, String name)

Method Summary

Methods

Modifier and Type	Method and Description
org.dmg.pmml.DefineFunction	encodeFunction()
double	getCoefficient()
String	getFunction()

Methods inherited from class sklearn.ensemble.gradient_boosting.LossFunction

getK

Methods inherited from class net.razorvine.pickle.objects.ClassDict

__setstate__, getClassName

Methods inherited from class java.util.HashMap

clear, clone, containsKey, containsValue, entrySet, get, isEmpty, keySet, put, putAll, remove, size, values

Methods inherited from class java.util.AbstractMap

equals, hashCode, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

equals, hashCode

Constructor Detail

MultinomialDeviance

public MultinomialDeviance(String module,
                   String name)

Method Detail

getCoefficient

public double getCoefficient()

Specified by:

getCoefficient in class LossFunction

getFunction

public String getFunction()

Specified by:

getFunction in class LossFunction

encodeFunction

public org.dmg.pmml.DefineFunction encodeFunction()

Overrides:

encodeFunction in class LossFunction