AbstractScoreBasedClassifier
s that are based on
SamplingDifferentiableStatisticalModel
s
and that sample parameters using the Metropolis-Hastings algorithm.See: Description
Class | Description |
---|---|
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 | Description |
---|---|
SamplingScoreBasedClassifier.SamplingScheme |
Sampling scheme for sampling the parameters of the scoring functions.
|
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.