gov.sandia.cognition.learning.algorithm.hmm

Class ParallelBaumWelchAlgorithm.DistributionEstimatorTask<ObservationType>

java.lang.Object

gov.sandia.cognition.util.AbstractCloneableSerializable

gov.sandia.cognition.learning.algorithm.hmm.ParallelBaumWelchAlgorithm.DistributionEstimatorTask<ObservationType>

Type Parameters:

ObservationType - Type of Observations.

All Implemented Interfaces:

CloneableSerializable, java.io.Serializable, java.lang.Cloneable, java.util.concurrent.Callable<ProbabilityFunction<ObservationType>>

Enclosing class:

ParallelBaumWelchAlgorithm<ObservationType>

protected static class ParallelBaumWelchAlgorithm.DistributionEstimatorTask<ObservationType>
extends AbstractCloneableSerializable
implements java.util.concurrent.Callable<ProbabilityFunction<ObservationType>>

Re-estimates the PDF from the gammas.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected BatchLearner<java.util.Collection<? extends WeightedValue<? extends ObservationType>>,? extends ComputableDistribution<ObservationType>>	distributionLearner My copy of the PDF estimator.
protected int	index Index into the gammas to pull the weights.
protected java.util.ArrayList<DefaultWeightedValue<ObservationType>>	weightedValues Weighted values for the PDF estimator.

Constructor Summary

Constructors

Constructor and Description
DistributionEstimatorTask(java.util.Collection<? extends ObservationType> data, BatchLearner<java.util.Collection<? extends WeightedValue<? extends ObservationType>>,? extends ComputableDistribution<ObservationType>> distributionLearner, int index) Creates an instance of DistributionEstimatorTask

Method Summary

Modifier and Type	Method and Description
ProbabilityFunction<ObservationType>	call()
void	setGammas(java.util.ArrayList<Vector> gammas) Sets the gamma samples pointer.

Methods inherited from class gov.sandia.cognition.util.AbstractCloneableSerializable

clone

Methods inherited from class java.lang.Object

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

Field Detail

weightedValues

protected java.util.ArrayList<DefaultWeightedValue<ObservationType>> weightedValues

Weighted values for the PDF estimator.

distributionLearner

protected BatchLearner<java.util.Collection<? extends WeightedValue<? extends ObservationType>>,? extends ComputableDistribution<ObservationType>> distributionLearner

My copy of the PDF estimator.

index

protected int index

Index into the gammas to pull the weights.

Constructor Detail

DistributionEstimatorTask

public DistributionEstimatorTask(java.util.Collection<? extends ObservationType> data,
                                 BatchLearner<java.util.Collection<? extends WeightedValue<? extends ObservationType>>,? extends ComputableDistribution<ObservationType>> distributionLearner,
                                 int index)

Creates an instance of DistributionEstimatorTask

Parameters:

data - Data to stuff into the weightedValues

distributionLearner - Distribution Learner

index - Index into the gammas

Method Detail

setGammas

public void setGammas(java.util.ArrayList<Vector> gammas)

Sets the gamma samples pointer.

Parameters:

gammas - Gammas

call

public ProbabilityFunction<ObservationType> call()

Specified by:

call in interface java.util.concurrent.Callable<ProbabilityFunction<ObservationType>>