de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions

Interface TrainableAndDifferentiableTransition

All Superinterfaces:

Cloneable, DifferentiableTransition, Storable, TrainableTransition, Transition, TransitionWithSufficientStatistic

public interface TrainableAndDifferentiableTransition
extends TrainableTransition, DifferentiableTransition

This interface unifies the interfaces TrainableTransition and DifferentiableTransition.

Author:

Jens Keilwagen

Method Summary

Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.TrainableTransition

estimateFromStatistic

Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.TransitionWithSufficientStatistic

addToStatistic, getLogGammaScoreFromStatistic, joinStatistics, resetStatistic

Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.Transition

clone, fillTransitionInformation, getChildIdx, getGraphizNetworkRepresentation, getLastContextState, getLogPriorTerm, getLogScoreFor, getMaximalInDegree, getMaximalMarkovOrder, getMaximalNumberOfChildren, getNumberOfChildren, getNumberOfIndexes, getNumberOfStates, hasAnySelfTransitions, initializeRandomly, isAbsoring, setParameters, toString

Methods inherited from interface de.jstacs.Storable

toXML

Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions.DifferentiableTransition

addGradientForLogPriorTerm, fillParameters, fillSamplingGroups, getLogScoreAndPartialDerivation, getSizeOfEventSpace, setParameterOffset, setParameters