public interface SamplingDifferentiableStatisticalModel extends DifferentiableStatisticalModel
DifferentiableStatisticalModels 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, isNormalizedclone, getCurrentParameterValues, getInitialClassParam, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getNumberOfParameters, getNumberOfRecommendedStarts, initializeFunction, initializeFunctionRandomly, setParametersemitDataSet, getLogProbFor, getLogProbFor, getLogProbFor, getMaximalMarkovOrdergetAlphabetContainer, getCharacteristics, getInstanceName, getLength, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getNumericalCharacteristics, isInitialized, toStringint[][] getSamplingGroups(int parameterOffset)
parameterOffset - a global offset on the parameter indexesparameterOffset.