de.jstacs.models.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.models.hmm.transitions.TrainableTransition

estimateFromStatistic

Methods inherited from interface de.jstacs.models.hmm.transitions.TransitionWithSufficientStatistic

addToStatistic, getLogGammaScoreFromStatistic, resetStatistic

Methods inherited from interface de.jstacs.models.hmm.Transition

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

Methods inherited from interface de.jstacs.Storable

toXML

Methods inherited from interface de.jstacs.models.hmm.transitions.DifferentiableTransition

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