Package | Description |
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de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
Provides the classes for
AbstractScoreBasedClassifier s that are based on
SamplingDifferentiableStatisticalModel s
and that sample parameters using the Metropolis-Hastings algorithm. |
Modifier and Type | Class and Description |
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class |
SamplingGenDisMixClassifierParameterSet
ParameterSet to instantiate a SamplingGenDisMixClassifier . |
Modifier and Type | Field and Description |
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protected SamplingScoreBasedClassifierParameterSet |
SamplingScoreBasedClassifier.params
Parameters
|
Modifier and Type | Method and Description |
---|---|
SamplingScoreBasedClassifierParameterSet |
SamplingScoreBasedClassifierParameterSet.clone() |
Constructor and Description |
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SamplingScoreBasedClassifier(SamplingScoreBasedClassifierParameterSet params,
BurnInTest burnInTest,
double[] classVariances,
SamplingDifferentiableStatisticalModel... scoringFunctions)
Creates a new
SamplingScoreBasedClassifier using the parameters in params ,
a specified BurnInTest (or null for no burn-in test), a set of sampling variances,
which may be different for each of the classes (in analogy to equivalent sample size for the Dirichlet distribution),
and set set of SamplingDifferentiableStatisticalModel s for each of the classes. |