Package org.ddogleg.optimization.loss

Class LossHuberSmooth.Function

java.lang.Object

org.ddogleg.optimization.loss.LossFunctionBase

org.ddogleg.optimization.loss.LossHuberSmooth

org.ddogleg.optimization.loss.LossHuberSmooth.Function

All Implemented Interfaces:

FunctionNtoS, LossFunction

Enclosing class:

LossHuberSmooth

public static class LossHuberSmooth.Function
extends LossHuberSmooth
implements LossFunction

Implementation of the smooth Huber loss function

Nested Class Summary

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

LossHuberSmooth.Function, LossHuberSmooth.Gradient

Field Summary

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

numberOfFunctions

Constructor Summary

Constructors

Constructor	Description
Function(double threshold)

Method Summary

Modifier and Type	Method	Description
double	process(double[] input)	Computes the output given an array of inputs.

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.LossFunction

fixate, getNumberOfFunctions, getNumOfInputsN, setNumberOfFunctions

Constructor Details

Function

public Function(double threshold)

Method Details

process

public double process(double[] input)

Description copied from interface: FunctionNtoS

Computes the output given an array of inputs.

Specified by:

process in interface FunctionNtoS

Parameters:

input - Array containing input values

Returns:

The output.