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Packages that use InhomogeneousDGM | |
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de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models. |
de.jstacs.models.discrete.inhomogeneous.parameters | |
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling. |
Uses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous |
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Subclasses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous | |
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class |
BayesianNetworkModel
The class implements a Bayesian network ( StructureLearner.ModelType.BN ) of fixed order. |
class |
DAGModel
The abstract class for directed acyclic graphical models ( DAGModel ). |
class |
FSDAGModel
This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGModel ). |
Methods in de.jstacs.models.discrete.inhomogeneous that return InhomogeneousDGM | |
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InhomogeneousDGM |
InhomogeneousDGM.clone()
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Uses of InhomogeneousDGM in de.jstacs.models.discrete.inhomogeneous.parameters |
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Constructor parameters in de.jstacs.models.discrete.inhomogeneous.parameters with type arguments of type InhomogeneousDGM | |
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IDGMParameterSet(Class<? extends InhomogeneousDGM> instanceClass)
This constructor creates an empty IDGMParameterSet instance from
the class that can be instantiated using this IDGMParameterSet . |
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IDGMParameterSet(Class<? extends InhomogeneousDGM> instanceClass,
AlphabetContainer alphabet,
int length,
double ess,
String description)
This constructor creates an IDGMParameterSet instance for the
specified class. |
Uses of InhomogeneousDGM in de.jstacs.models.mixture.gibbssampling |
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Subclasses of InhomogeneousDGM in de.jstacs.models.mixture.gibbssampling | |
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class |
FSDAGModelForGibbsSampling
This is the class for a fixed structure directed acyclic graphical model (see FSDAGModel ) that can be used in a Gibbs sampling. |
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