Package org.ddogleg.optimization.loss

Class LossTukey

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossTukey

Direct Known Subclasses:

LossTukey.Function, LossTukey.Gradient

public abstract class LossTukey
extends LossFunctionBase

Tukey loss (Tukey's biweight function) has similar behavior to LossHuber but is less sensitive to outliers because they contribute nothing to the loss.

 l(c) = c2/6(1 - [1 - (r/c)**2]**3)   if |r| <= c
        c2/6                          otherwise
 

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	LossTukey.Function	Implementation of the Tukey loss function
static class	LossTukey.Gradient	Implementation of the Tukey Loss gradient

Field Summary

Fields inherited from class org.ddogleg.optimization.loss.LossFunctionBase

numberOfFunctions

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	LossTukey(double threshold)

Method Summary

Methods inherited from class java.lang.Object

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

Constructor Details

LossTukey

protected LossTukey(double threshold)