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public interface SamplingDifferentiableStatisticalModel
Interface for DifferentiableStatisticalModel
s that can be used for
Metropolis-Hastings sampling in a SamplingScoreBasedClassifier
.
Field Summary |
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Fields inherited from interface de.jstacs.sequenceScores.differentiable.DifferentiableSequenceScore |
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UNKNOWN |
Method Summary | |
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int[][] |
getSamplingGroups(int parameterOffset)
Returns groups of indexes of parameters that shall be drawn together in a sampling procedure |
Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.differentiable.DifferentiableStatisticalModel |
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addGradientOfLogPriorTerm, getESS, getLogNormalizationConstant, getLogPartialNormalizationConstant, getLogPriorTerm, getSizeOfEventSpaceForRandomVariablesOfParameter, isNormalized |
Methods inherited from interface de.jstacs.sequenceScores.differentiable.DifferentiableSequenceScore |
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clone, getCurrentParameterValues, getInitialClassParam, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getLogScoreAndPartialDerivation, getNumberOfParameters, getNumberOfRecommendedStarts, initializeFunction, initializeFunctionRandomly, setParameters |
Methods inherited from interface de.jstacs.sequenceScores.statisticalModels.StatisticalModel |
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emitDataSet, getLogProbFor, getLogProbFor, getLogProbFor, getMaximalMarkovOrder |
Methods inherited from interface de.jstacs.sequenceScores.SequenceScore |
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getAlphabetContainer, getCharacteristics, getInstanceName, getLength, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getLogScoreFor, getNumericalCharacteristics, isInitialized |
Methods inherited from interface de.jstacs.Storable |
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toXML |
Method Detail |
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int[][] getSamplingGroups(int parameterOffset)
parameterOffset
- a global offset on the parameter indexes
parameterOffset
.
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