Facemorph.Stats
Class WaveletRGBPLS

java.lang.Object
  Facemorph.Stats.ImagePLS
      Facemorph.Stats.WaveletRGBPLS

All Implemented Interfaces:

IniHandler, DataReducer, ImageDataHandler, Regressor, StatisticalModel

public class WaveletRGBPLS
extends ImagePLS

Nested Class Summary

Nested classes/interfaces inherited from interface Facemorph.Stats.DataReducer

DataReducer.DataReducerInformation

Nested classes/interfaces inherited from interface Facemorph.Stats.Regressor

Regressor.RegressorException

Field Summary

protected Filter[]	filters
protected Filter	G A set of filters for Gaussian
protected Filter	H1 A set of filters for Gaussian
protected Filter	H2 A set of filters for Gaussian
protected Filter	K1 A set of filters for Gaussian
protected Filter	K2 A set of filters for Gaussian
protected Filter	L1 A set of filters for Gaussian
protected Filter	L2 A set of filters for Gaussian
protected Pyramid[]	ppyr
protected Pyramid[]	wpyr
protected Pyramid[][]	Wpyr

Fields inherited from class Facemorph.Stats.ImagePLS

averageImage, imageFiles, stdevImage, varX, varY, Y

Constructor Summary

WaveletRGBPLS()

Method Summary

static void	main(java.lang.String[] args)
boolean	train(boolean stats) Perform multi-linear regression using the Ordinary Least Squares method.

Methods inherited from class Facemorph.Stats.ImagePLS

apply, buildTestSet, getEpsilon, getInputDimensions, getModelInformation, getModelInformation, getOutputDimensions, getSumSquaredResiduals, getTargetDependentVariance, getTargetIndpendentVariance, outputStatistics, outputStatistics, predict, read, read, reconstructDependent, reconstructDependent, reconstructImage, reconstructIndependent, reconstructIndependent, reduce, reduceDependent, reduceDependent, reduceIndependent, reduceIndependent, setDependentData, setDependentData, setEpsilon, setIndependentData, setIndependentData, setOutputDimensions, setTargetDependentVariance, setTargetIndependentVariance, setTargetKaiserGuttman, write, write, write

Methods inherited from class java.lang.Object

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

Field Detail

H1

protected Filter H1

A set of filters for Gaussian

H2

protected Filter H2

A set of filters for Gaussian

L1

protected Filter L1

A set of filters for Gaussian

L2

protected Filter L2

A set of filters for Gaussian

G

protected Filter G

A set of filters for Gaussian

K1

protected Filter K1

A set of filters for Gaussian

K2

protected Filter K2

A set of filters for Gaussian

filters

protected Filter[] filters

Wpyr

protected Pyramid[][] Wpyr

wpyr

protected Pyramid[] wpyr

ppyr

protected Pyramid[] ppyr

Constructor Detail

WaveletRGBPLS

public WaveletRGBPLS()

Method Detail

train

public boolean train(boolean stats)

Description copied from interface: StatisticalModel

Perform multi-linear regression using the Ordinary Least Squares method. Solves y = XB + e using b = inv(X'X)X'y

Specified by:

train in interface StatisticalModel

Overrides:

train in class ImagePLS

Parameters:

stats - calculate values for statistical analysis

Returns:

true if the regression succeeds.

main

public static void main(java.lang.String[] args)
                 throws java.io.IOException

Throws:

java.io.IOException