public interface SamplingDifferentiableStatisticalModel extends DifferentiableStatisticalModel
DifferentiableStatisticalModel
s that can be used for
Metropolis-Hastings sampling in a SamplingScoreBasedClassifier
.UNKNOWN
Modifier and Type | Method and Description |
---|---|
int[][] |
getSamplingGroups(int parameterOffset)
Returns groups of indexes of parameters that shall be drawn
together in a sampling procedure
|
addGradientOfLogPriorTerm, getESS, getLogNormalizationConstant, getLogPartialNormalizationConstant, getLogPriorTerm, getSizeOfEventSpaceForRandomVariablesOfParameter, isNormalized
clone, getCurrentParameterValues, getInitialClassParam, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getNumberOfParameters, getNumberOfRecommendedStarts, initializeFunction, initializeFunctionRandomly, setParameters
emitDataSet, getLogProbFor, getLogProbFor, getLogProbFor, getMaximalMarkovOrder
getAlphabetContainer, getCharacteristics, getInstanceName, getLength, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getNumericalCharacteristics, isInitialized, toString
int[][] getSamplingGroups(int parameterOffset)
parameterOffset
- a global offset on the parameter indexesparameterOffset
.