org.encog.mathutil.matrices.hessian
Class BasicHessian

java.lang.Object
  org.encog.mathutil.matrices.hessian.BasicHessian

All Implemented Interfaces:

ComputeHessian

Direct Known Subclasses:

HessianCR, HessianFD

public abstract class BasicHessian
extends Object
implements ComputeHessian

Some basic code used to calculate Hessian matrixes.

Field Summary

protected double[]	derivative The derivatives.
protected FlatNetwork	flat The flat network.
protected double[]	gradients The gradients of the Hessian.
protected double[][]	hessian The Hessian 2d array.
protected Matrix	hessianMatrix The Hessian matrix.
protected BasicNetwork	network The neural network that we would like to train.
protected double	sse The sum of square error.
protected MLDataSet	training The training data that provides the ideal values.

Constructor Summary

BasicHessian()

Method Summary

void	clear() Clear the Hessian and gradients.
double[]	getGradients() The gradeints.
double[][]	getHessian()
Matrix	getHessianMatrix()
double	getSSE()
void	init(BasicNetwork theNetwork, MLDataSet theTraining) Init the class.
void	updateHessian(double[] d) Update the Hessian, sum's with what is in the Hessian already.

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.encog.mathutil.matrices.hessian.ComputeHessian

compute

Field Detail

training

protected MLDataSet training

The training data that provides the ideal values.

network

protected BasicNetwork network

The neural network that we would like to train.

sse

protected double sse

The sum of square error.

gradients

protected double[] gradients

The gradients of the Hessian.

hessianMatrix

protected Matrix hessianMatrix

The Hessian matrix.

hessian

protected double[][] hessian

The Hessian 2d array.

derivative

protected double[] derivative

The derivatives.

flat

protected FlatNetwork flat

The flat network.

Constructor Detail

BasicHessian

public BasicHessian()

Method Detail

init

public void init(BasicNetwork theNetwork,
                 MLDataSet theTraining)

Init the class.

Specified by:

init in interface ComputeHessian

Parameters:

theNetwork - The neural network to train.

theTraining - The training set to train with.

getGradients

public double[] getGradients()

The gradeints.

Specified by:

getGradients in interface ComputeHessian

Returns:

The gradients for the Hessian.

getHessianMatrix

public Matrix getHessianMatrix()

Specified by:

getHessianMatrix in interface ComputeHessian

Returns:

The Hessian matrix.

getHessian

public double[][] getHessian()

Specified by:

getHessian in interface ComputeHessian

Returns:

Get the Hessian as a 2d array.

clear

public void clear()

Clear the Hessian and gradients.

Specified by:

clear in interface ComputeHessian

getSSE

public double getSSE()

Specified by:

getSSE in interface ComputeHessian

Returns:

The sum of squares error over all of the training elements.

updateHessian

public void updateHessian(double[] d)

Update the Hessian, sum's with what is in the Hessian already. Call clear to clear out old Hessian.

Parameters:

d -