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Packages that use DiscreteGraphicalModel | |
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de.jstacs.models.discrete | |
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models. |
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling. |
Uses of DiscreteGraphicalModel in de.jstacs.models.discrete |
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Methods in de.jstacs.models.discrete that return DiscreteGraphicalModel | |
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DiscreteGraphicalModel |
DiscreteGraphicalModel.clone()
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Constructor parameters in de.jstacs.models.discrete with type arguments of type DiscreteGraphicalModel | |
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DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass,
AlphabetContainer alphabet,
double ess,
String description)
The constructor for models, that can handle variable lengths. |
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DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass,
AlphabetContainer alphabet,
int length,
double ess,
String description)
The constructor for models that can handle only sequences of fixed length. |
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DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass,
boolean simple,
boolean variableLength)
An empty constructor of extended classes. |
Uses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous |
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Subclasses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous | |
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class |
BayesianNetworkModel
The class implements a Bayesian network of fixed order. |
class |
DAGModel
The abstract class for directed acyclic graphical models. |
class |
FSDAGModel
This class can be used for any discrete fixed structure DAG model (FSDAGModel). |
class |
InhomogeneousDGM
This class is the main class for all inhomgeneous discrete graphical models (IDGM). |
Uses of DiscreteGraphicalModel in de.jstacs.models.mixture.gibbssampling |
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Subclasses of DiscreteGraphicalModel in de.jstacs.models.mixture.gibbssampling | |
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class |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model that can be used in a Gibbs sampling. |
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