marytts.machinelearning

Class GaussianComponent

java.lang.Object

marytts.machinelearning.GaussianComponent

public class GaussianComponent
extends Object

Implements a single Gaussian component with a mean vector and a covariance matrix It also computes terms for pdf computation out of this Gaussian component once the mean and covariance is specified

Author:

Oytun Türk

Field Summary

Fields

Modifier and Type	Field and Description
double[][]	covMatrix
double[]	meanVector

Constructor Summary

Constructors

Constructor and Description
GaussianComponent()
GaussianComponent(Cluster c)
GaussianComponent(GaussianComponent existing)
GaussianComponent(int featureDimensionIn, boolean isDiagonal)

Method Summary

Methods

Modifier and Type	Method and Description
double	getConstantTerm()
double	getConstantTermLog()
double[]	getCovMatrixDiagonal()
double	getDetCovMatrix()
double[][]	getInvCovMatrix()
void	init(double[] meanVectorIn, double[][] covMatrixIn)
void	init(int featureDimensionIn, boolean isDiagonal)
boolean	isDiagonalCovariance()
double	probability(double[] x)
void	read(MaryRandomAccessFile stream)
void	setCovMatrix(double[][] covMatrixIn)
void	setCovMatrix(double[][] bigCovMatrix, int rowStartIndex, int colStartIndex, int covLength)
void	setDerivedValues()
void	setMeanVector(double[] meanVectorIn)
void	setMeanVector(double[] bigVector, int startIndex, int meanLength)
void	write(MaryRandomAccessFile stream)

Methods inherited from class java.lang.Object

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

Field Detail

meanVector

public double[] meanVector

covMatrix

public double[][] covMatrix

Constructor Detail

GaussianComponent

public GaussianComponent()

GaussianComponent

public GaussianComponent(int featureDimensionIn,
                 boolean isDiagonal)

GaussianComponent

public GaussianComponent(GaussianComponent existing)

GaussianComponent

public GaussianComponent(Cluster c)

Method Detail

init

public void init(int featureDimensionIn,
        boolean isDiagonal)

init

public void init(double[] meanVectorIn,
        double[][] covMatrixIn)

setMeanVector

public void setMeanVector(double[] meanVectorIn)

setMeanVector

public void setMeanVector(double[] bigVector,
                 int startIndex,
                 int meanLength)

setCovMatrix

public void setCovMatrix(double[][] covMatrixIn)

setCovMatrix

public void setCovMatrix(double[][] bigCovMatrix,
                int rowStartIndex,
                int colStartIndex,
                int covLength)

setDerivedValues

public void setDerivedValues()

isDiagonalCovariance

public boolean isDiagonalCovariance()

getCovMatrixDiagonal

public double[] getCovMatrixDiagonal()

getInvCovMatrix

public double[][] getInvCovMatrix()

getDetCovMatrix

public double getDetCovMatrix()

getConstantTerm

public double getConstantTerm()

getConstantTermLog

public double getConstantTermLog()

write

public void write(MaryRandomAccessFile stream)
           throws IOException

Throws:

IOException

read

public void read(MaryRandomAccessFile stream)
          throws IOException

Throws:

IOException

probability

public double probability(double[] x)