de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions

Interface SamplingEmission

All Superinterfaces:

Cloneable, Emission, SamplingComponent, SamplingFromStatistic, Storable

All Known Implementing Classes:

AbstractConditionalDiscreteEmission, DiscreteEmission, PhyloDiscreteEmission, ReferenceSequenceDiscreteEmission, SilentEmission

public interface SamplingEmission
extends SamplingFromStatistic, Emission

Author:

Jens Keilwagen

Method Summary

Methods

Modifier and Type	Method and Description
double	getLogGammaScoreFromStatistic() This method calculates a score for the current statistics, which is independent from the current parameters In general the gamma-score is a product of gamma-functions parameterized with the current statistics

Methods inherited from interface de.jstacs.sampling.SamplingFromStatistic

drawParametersFromStatistic, getLogPosteriorFromStatistic

Methods inherited from interface de.jstacs.sampling.SamplingComponent

acceptParameters, extendSampling, initForSampling, isInSamplingMode, parseNextParameterSet, parseParameterSet, samplingStopped

Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.Emission

addToStatistic, estimateFromStatistic, getAlphabetContainer, getLogPriorTerm, getLogProbFor, getNodeLabel, getNodeShape, initializeFunctionRandomly, joinStatistics, resetStatistic, setParameters, toString

Methods inherited from interface de.jstacs.Storable

toXML

Method Detail

getLogGammaScoreFromStatistic

double getLogGammaScoreFromStatistic()

This method calculates a score for the current statistics, which is independent from the current parameters In general the gamma-score is a product of gamma-functions parameterized with the current statistics

Returns:

the logarithm of the gamma-score for the current statistics