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Packages that use SequenceScoringParameterSet | |
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de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for Classifier s that are based on SequenceScore s.It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior. |
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.sampling | Provides the classes for AbstractScoreBasedClassifier s that are based on
SamplingDifferentiableStatisticalModel s
and that sample parameters using the Metropolis-Hastings algorithm. |
de.jstacs.parameters | This package provides classes for parameters that establish a general convention for the description of parameters
as defined in the Parameter -interface. |
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides DifferentiableStatisticalModel s that are directed graphical models. |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete | |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters | |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased |
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Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased | |
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class |
ScoreClassifierParameterSet
A set of Parameter s for any
ScoreClassifier . |
Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix |
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Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | |
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class |
GenDisMixClassifierParameterSet
This class contains the parameters for the GenDisMixClassifier . |
Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
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Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | |
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class |
SamplingGenDisMixClassifierParameterSet
ParameterSet to instantiate a SamplingGenDisMixClassifier . |
class |
SamplingScoreBasedClassifierParameterSet
ParameterSet to instantiate a SamplingScoreBasedClassifier . |
Uses of SequenceScoringParameterSet in de.jstacs.parameters |
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Methods in de.jstacs.parameters that return SequenceScoringParameterSet | |
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SequenceScoringParameterSet<T> |
SequenceScoringParameterSet.clone()
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Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels |
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Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | |
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class |
BayesianNetworkDiffSMParameterSet
Class for the parameters of a BayesianNetworkDiffSM . |
Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete |
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Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete | |
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class |
DGTrainSMParameterSet<T extends DiscreteGraphicalTrainSM>
The super ParameterSet for any parameter set of
a DiscreteGraphicalTrainSM . |
Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters |
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Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters | |
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class |
HomMMParameterSet
This class implements a container for all parameters of a homogeneous Markov model. |
class |
HomogeneousTrainSMParameterSet
This class implements a container for all parameters of any homogeneous model. |
Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
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Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters | |
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class |
BayesianNetworkTrainSMParameterSet
The ParameterSet for the class
BayesianNetworkTrainSM . |
class |
FSDAGModelForGibbsSamplingParameterSet
The class for the parameters of a FSDAGModelForGibbsSampling . |
class |
FSDAGTrainSMParameterSet
The class for the parameters of a FSDAGTrainSM (fixed
structure directed acyclic graphical
model). |
class |
FSMEMParameterSet
The ParameterSet for a FSMEManager. |
class |
IDGTrainSMParameterSet
This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers. |
class |
MEManagerParameterSet
The ParameterSet for any MEManager. |
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