public interface TrainableAndDifferentiableTransition extends TrainableTransition, DifferentiableTransition
TrainableTransition
and DifferentiableTransition
.estimateFromStatistic
addToStatistic, getLogGammaScoreFromStatistic, joinStatistics, resetStatistic
clone, fillTransitionInformation, getChildIdx, getGraphizNetworkRepresentation, getLastContextState, getLogPriorTerm, getLogScoreFor, getMaximalInDegree, getMaximalMarkovOrder, getMaximalNumberOfChildren, getNumberOfChildren, getNumberOfIndexes, getNumberOfStates, hasAnySelfTransitions, initializeRandomly, isAbsoring, setParameters, toString
addGradientForLogPriorTerm, fillParameters, fillSamplingGroups, getLogScoreAndPartialDerivation, getSizeOfEventSpace, setParameterOffset, setParameters