sklearn.linear_model.stochastic_gradient

Class LossFunction

java.lang.Object

java.util.AbstractMap<K,V>

java.util.HashMap<java.lang.String,java.lang.Object>

net.razorvine.pickle.objects.ClassDict

org.jpmml.sklearn.CClassDict

sklearn.linear_model.stochastic_gradient.LossFunction

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.util.Map<java.lang.String,java.lang.Object>

Direct Known Subclasses:

Hinge, Log, ModifiedHuber, SquaredHinge

public abstract class LossFunction
extends CClassDict

See Also:

Serialized Form

Nested Class Summary

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

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

Constructor Summary

Constructors

Constructor and Description
LossFunction(java.lang.String module, java.lang.String name)

Method Summary

Methods inherited from class org.jpmml.sklearn.CClassDict

__getstate__, __init__, __setstate__, __setstate__, createAttributeMap, reset

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

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(java.lang.String module,
            java.lang.String name)