Package | Description |
---|---|
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix |
Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModel s by
a unified generative-discriminative learning principle. |
de.jstacs.classifiers.differentiableSequenceScoreBased.msp |
Provides an implementation of a classifier that allows to train the parameters of a set of
DifferentiableStatisticalModel s either
by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL). |
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 | Method and Description |
---|---|
GenDisMixClassifier |
GenDisMixClassifier.clone() |
static GenDisMixClassifier[] |
GenDisMixClassifier.create(GenDisMixClassifierParameterSet params,
LogPrior prior,
double[] weights,
DifferentiableStatisticalModel[]... functions)
This method creates an array of GenDisMixClassifiers by using the cross-product of the given
DifferentiableStatisticalModel s. |
Modifier and Type | Class and Description |
---|---|
class |
MSPClassifier
This class implements a classifier that allows the training via MCL or MSP principle.
|
Modifier and Type | Method and Description |
---|---|
GenDisMixClassifier |
SamplingGenDisMixClassifier.getClassifierForBestParameters(GenDisMixClassifierParameterSet params)
Returns a standard, i.e., non-sampling,
GenDisMixClassifier , where the parameters
are set to those that yielded the maximum value of the objective functions among all sampled
parameter values. |
GenDisMixClassifier |
SamplingGenDisMixClassifier.getClassifierForMeanParameters(GenDisMixClassifierParameterSet params,
boolean testBurnIn,
int minBurnInSteps)
Returns a standard, i.e., non-sampling,
GenDisMixClassifier , where the parameters
are set to the mean values over all sampled
parameter values in the stationary phase. |