org.shared.stat.ml

Class GmModel

java.lang.Object

org.shared.stat.ml.AbstractGmModel

org.shared.stat.ml.GmModel

public class GmModel
extends AbstractGmModel

An implementation of AbstractGmModel using EM updates on GMMs with diagonal covariances. Inspired by Lawrence Saul's EM code.

Constructor Summary

Constructors

Constructor and Description
GmModel() Default constructor.

Method Summary

Methods

Modifier and Type	Method and Description
RealArray	computeLogWeightedDensities(GmComponents gmc, RealArray points) Computes the log of the weighted densities.
GmComponents	initialize(RealArray input, int nComps, double regularization) Initializes the mixture components.
void	update(GmComponents gmc, RealArray posterior, RealArray points, double regularization) Performs the update rule.

Methods inherited from class org.shared.stat.ml.AbstractGmModel

computePosterior, train

Methods inherited from class java.lang.Object

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

Constructor Detail

GmModel

public GmModel()

Default constructor.

Method Detail

initialize

public GmComponents initialize(RealArray input,
                      int nComps,
                      double regularization)

Description copied from class: AbstractGmModel

Initializes the mixture components.

Specified by:

initialize in class AbstractGmModel

Parameters:

input - the input.

nComps - the number of components.

regularization - the regularization hint.

Returns:

the initial mixture components.

update

public void update(GmComponents gmc,
          RealArray posterior,
          RealArray points,
          double regularization)

Description copied from class: AbstractGmModel

Performs the update rule.

Specified by:

update in class AbstractGmModel

Parameters:

gmc - the mixture components.

posterior - the posterior distribution p(components | points).

points - the input.

regularization - the regularization hint.

computeLogWeightedDensities

public RealArray computeLogWeightedDensities(GmComponents gmc,
                                    RealArray points)

Description copied from class: AbstractGmModel

Computes the log of the weighted densities.

Specified by:

computeLogWeightedDensities in class AbstractGmModel

Parameters:

gmc - the mixture components.

points - the input.

Returns:

the log of p(points | components).