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AbstractScoreBasedClassifier
s that are based on
SamplingDifferentiableStatisticalModel
s
and that sample parameters using the Metropolis-Hastings algorithm.
See:
Description
Class Summary | |
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SamplingGenDisMixClassifier | A classifier that samples its parameters from a LogGenDisMixFunction using the
Metropolis-Hastings algorithm. |
SamplingGenDisMixClassifierParameterSet | ParameterSet to instantiate a SamplingGenDisMixClassifier . |
SamplingScoreBasedClassifier | A classifier that samples the parameters of SamplingDifferentiableStatisticalModel s by the Metropolis-Hastings algorithm. |
SamplingScoreBasedClassifierParameterSet | ParameterSet to instantiate a SamplingScoreBasedClassifier . |
Enum Summary | |
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SamplingScoreBasedClassifier.SamplingScheme | Sampling scheme for sampling the parameters of the scoring functions. |
Provides the classes for AbstractScoreBasedClassifier
s that are based on
SamplingDifferentiableStatisticalModel
s
and that sample parameters using the Metropolis-Hastings algorithm. The abstract base class of all such
classifiers is the SamplingScoreBasedClassifier
, while
the SamplingGenDisMixClassifier
provides an
implementation for the unified generative-discriminative learning principle.
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