sklearn.ensemble.gradient_boosting

Class LossFunction

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<String,Object>

net.razorvine.pickle.objects.ClassDict

sklearn.ensemble.gradient_boosting.LossFunction

All Implemented Interfaces:

Serializable, Cloneable, Map<String,Object>

Direct Known Subclasses:

BinomialDeviance, ExponentialLoss, MultinomialDeviance

public abstract class LossFunction
extends net.razorvine.pickle.objects.ClassDict

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
LossFunction(String module, String name)

Method Summary

Methods

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

LossFunction

public LossFunction(String module,
            String name)

Method Detail

getCoefficient

public abstract double getCoefficient()

getFunction

public abstract String getFunction()

encodeFunction

public org.dmg.pmml.DefineFunction encodeFunction()

getK

public Integer getK()