Package org.ddogleg.optimization.loss

Class LossHuber.Gradient

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossHuber

org.ddogleg.optimization.loss.LossHuber.Gradient

All Implemented Interfaces:

FunctionNtoN, LossFunctionGradient

Enclosing class:

LossHuber

public static class LossHuber.Gradient
extends LossHuber
implements LossFunctionGradient

Implementation of the Huber Loss gradient

Nested Class Summary

Nested classes/interfaces inherited from class org.ddogleg.optimization.loss.LossHuber

LossHuber.Function, LossHuber.Gradient

Field Summary

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

numberOfFunctions

Constructor Summary

Constructors

Constructor	Description
Gradient(double threshold)

Method Summary

Modifier and Type	Method	Description
void	process(double[] input, double[] output)	Processes the function.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.ddogleg.optimization.loss.LossFunctionGradient

getN, getNumberOfFunctions, setNumberOfFunctions

Constructor Details

Gradient

public Gradient(double threshold)

Method Details

process

public void process(double[] input,
 double[] output)

Description copied from interface: FunctionNtoN

Processes the function.

Specified by:

process in interface FunctionNtoN

Parameters:

input - Array with the inputs of length N. Not modified.

output - Array for storing the output of length N. Modified.