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Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete |
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Fields in de.jstacs.sequenceScores.statisticalModels.trainable.discrete declared as DGTrainSMParameterSet | |
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protected DGTrainSMParameterSet |
DiscreteGraphicalTrainSM.params
The current parameter set of the model. |
Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that return DGTrainSMParameterSet | |
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DGTrainSMParameterSet |
DGTrainSMParameterSet.clone()
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DGTrainSMParameterSet |
DiscreteGraphicalTrainSM.getCurrentParameterSet()
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with parameters of type DGTrainSMParameterSet | |
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protected void |
DiscreteGraphicalTrainSM.set(DGTrainSMParameterSet params,
boolean trained)
Sets the parameters as internal parameters and does some essential computations. |
Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with parameters of type DGTrainSMParameterSet | |
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DiscreteGraphicalTrainSM(DGTrainSMParameterSet params)
The default constructor. |
Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous with parameters of type DGTrainSMParameterSet | |
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protected void |
HomogeneousTrainSM.set(DGTrainSMParameterSet params,
boolean trained)
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protected void |
HomogeneousMM.set(DGTrainSMParameterSet params,
boolean trained)
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Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters |
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Subclasses of DGTrainSMParameterSet 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 DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type DGTrainSMParameterSet | |
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protected void |
InhomogeneousDGTrainSM.set(DGTrainSMParameterSet parameter,
boolean trained)
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protected void |
FSDAGTrainSM.set(DGTrainSMParameterSet params,
boolean trained)
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protected void |
BayesianNetworkTrainSM.set(DGTrainSMParameterSet parameter,
boolean trained)
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Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters |
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Subclasses of DGTrainSMParameterSet 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 |
IDGTrainSMParameterSet
This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers. |
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