Package org.ddogleg.optimization.loss

Class LossHuber

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossHuber

Direct Known Subclasses:

LossHuber.Function, LossHuber.Gradient

public abstract class LossHuber
extends LossFunctionBase

Huber Loss is a robust loss function that is less sensitive to outliers than the squared error loss. For values less than a threshold it returns the squared error, for values greater than it returns an error that grows linearly instead of quadratic.

Nested Class Summary

Nested Classes

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

Field Summary

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

numberOfFunctions

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	LossHuber(double threshold)

Method Summary

Methods inherited from class java.lang.Object

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

Constructor Details

LossHuber

protected LossHuber(double threshold)