|
||||||||||
PREV NEXT | FRAMES NO FRAMES All Classes |
Packages that use SamplingComponent | |
---|---|
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. |
de.jstacs.sampling | This package contains many classes that can be used while a sampling. |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous | This package contains various inhomogeneous models. |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states | The package provides all interfaces and classes for states used in hidden Markov models. |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions | |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete | |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions | The package provides all interfaces and classes for transitions used in hidden Markov models. |
Uses of SamplingComponent in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
---|
Classes in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that implement SamplingComponent | |
---|---|
protected class |
SamplingScoreBasedClassifier.DiffSMSamplingComponent
The SamplingComponent that handles storing and loading sampled parameters values
to and from files. |
Uses of SamplingComponent in de.jstacs.sampling |
---|
Subinterfaces of SamplingComponent in de.jstacs.sampling | |
---|---|
interface |
GibbsSamplingModel
This is the interface that any AbstractTrainableStatisticalModel has to implement if it
should be used in a sampling. |
interface |
SamplingFromStatistic
This is the interface for sampling based on a sufficient statistic. |
Uses of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
---|
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that implement SamplingComponent | |
---|---|
class |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model (see FSDAGTrainSM ) that can be used in a Gibbs sampling. |
Uses of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states |
---|
Subinterfaces of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states | |
---|---|
interface |
SamplingState
|
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states that implement SamplingComponent | |
---|---|
class |
SimpleSamplingState
This class implements a state that can be used for a HMM that obtains its parameters from sampling. |
Uses of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions |
---|
Subinterfaces of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions | |
---|---|
interface |
SamplingEmission
|
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions that implement SamplingComponent | |
---|---|
class |
SilentEmission
This class implements a silent emission which is used to create silent states. |
Uses of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete |
---|
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.emissions.discrete that implement SamplingComponent | |
---|---|
class |
AbstractConditionalDiscreteEmission
The abstract super class of discrete emissions. |
class |
DiscreteEmission
This class implements a simple discrete emission without any condition. |
class |
PhyloDiscreteEmission
Phylogenetic discrete emission This class uses a phylogenetic tree to describe multidimensional data It implements Felsensteins model for nucleotide substitution (F81) |
class |
ReferenceSequenceDiscreteEmission
This class implements a discrete emission that depends on some ReferenceSequenceAnnotation
at a certain reference position. |
Uses of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions |
---|
Subinterfaces of SamplingComponent in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions | |
---|---|
interface |
SamplingTransition
This interface declares all method used during a sampling. |
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.transitions that implement SamplingComponent | |
---|---|
class |
HigherOrderTransition
This class can be used in any AbstractHMM allowing to use gradient based or sampling training algorithm. |
|
||||||||||
PREV NEXT | FRAMES NO FRAMES All Classes |