edu.gtts.sautrela.wfsa.models
Class GaussianMixture

java.lang.Object
  edu.gtts.sautrela.wfsa.models.GaussianMixture

public class GaussianMixture
extends java.lang.Object

Author:

mpenagar

Constructor Summary

GaussianMixture(org.xml.sax.InputSource is)
Creates a GaussianMixture using an XML description found via an InputSource

GaussianMixture(java.lang.String name, boolean trainWeigth, boolean trainMean, boolean trainVar, boolean splitIfOrphan)
Creates a new instance of GaussianSet

Method Summary

void	add(Gaussian g, double w)
void	addFastTrain(double[] x)
void	addTrain(double[] x)
void	addTrain(double[] x, double count)
double[]	addTrainGamma(double[] x)
double[]	addTrainGamma(double[] x, double count)
GaussianMixture	clone() Returns a copy of this GaussianMixture.
double	dumpTrain()
double	dumpTrain(GaussianMixture[] clones)
Gaussian	get(int i)
java.lang.String	getName()
double	getProb(double[] x)
double[]	getRandomData()
double	getWeight(int i)
void	initTrain(double initCount)
void	initTrain(double initCount, int topN)
boolean	isSplitIfOrphan()
boolean	isTrainMean()
boolean	isTrainVar()
boolean	isTrainWeigth()
static void	main(java.lang.String[] args) GaussianMixture - create/resize/modify GMMs.
void	remove() Remove the lowest weight gaussian
void	remove(int i)
void	resize(int newSize, int newDim) Resize the Gaussians number and dimension.
void	setSplitIfOrphan(boolean flag)
void	setTrainMean(boolean flag)
void	setTrainVar(boolean flag)
void	setTrainWeigth(boolean flag)
int	size()
void	split() Split the highest weight gaussian
java.lang.String	toXML()

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianMixture

public GaussianMixture(java.lang.String name,
                       boolean trainWeigth,
                       boolean trainMean,
                       boolean trainVar,
                       boolean splitIfOrphan)

Creates a new instance of GaussianSet

GaussianMixture

public GaussianMixture(org.xml.sax.InputSource is)
                throws javax.xml.parsers.ParserConfigurationException,
                       org.xml.sax.SAXException,
                       java.io.IOException

Creates a GaussianMixture using an XML description found via an InputSource

Parameters:

is - the InputSource used to locate the XML description

Throws:

javax.xml.parsers.ParserConfigurationException

org.xml.sax.SAXException

java.io.IOException

Method Detail

add

public void add(Gaussian g,
                double w)

remove

public void remove(int i)

get

public Gaussian get(int i)

getWeight

public double getWeight(int i)

size

public int size()

getName

public java.lang.String getName()

isTrainWeigth

public boolean isTrainWeigth()

setTrainWeigth

public void setTrainWeigth(boolean flag)

isSplitIfOrphan

public boolean isSplitIfOrphan()

setSplitIfOrphan

public void setSplitIfOrphan(boolean flag)

isTrainMean

public boolean isTrainMean()

setTrainMean

public void setTrainMean(boolean flag)

isTrainVar

public boolean isTrainVar()

setTrainVar

public void setTrainVar(boolean flag)

clone

public GaussianMixture clone()

Returns a copy of this GaussianMixture.

Overrides:

clone in class java.lang.Object

Returns:

a clone of this GaussianMixture

split

public void split()

Split the highest weight gaussian

remove

public void remove()

Remove the lowest weight gaussian

resize

public void resize(int newSize,
                   int newDim)

Resize the Gaussians number and dimension.

Parameters:

newSize - new number of gaussians, or 0 for no resize

newDim - new dimension of gaussians, or 0 for no resize

getProb

public double getProb(double[] x)

getRandomData

public double[] getRandomData()

initTrain

public void initTrain(double initCount)

initTrain

public void initTrain(double initCount,
                      int topN)

addTrain

public void addTrain(double[] x)

addTrainGamma

public double[] addTrainGamma(double[] x)

addTrain

public void addTrain(double[] x,
                     double count)

addTrainGamma

public double[] addTrainGamma(double[] x,
                              double count)

addFastTrain

public void addFastTrain(double[] x)

dumpTrain

public double dumpTrain()

dumpTrain

public double dumpTrain(GaussianMixture[] clones)

toXML

public java.lang.String toXML()

main

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

GaussianMixture - create/resize/modify GMMs.

      Syntax:  GaussianMixture [-sSmMvVwW] [-n name] [-N gNum] [-D gDim] [URL]
 
        -s  Turn off high weigth gaussian spliting and discard orphans.
        -S  Turn on high weigth gaussian spliting and discard orphans.
        -m  Turn off means training.
        -M  Turn on means training.
        -v  Turn off variances training.
        -V  Turn on variances training.
        -w  Turn off weigths training.
        -W  Turn on weigths training.
        -n name  New name for the GMM
        -N gNum  Number of Gaussians
        -D gDim  Dimension of Gaussians
        URL  Locator of an existing GMM
 

Parameters:

args - Command line arguments.