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| Packages that use de.jstacs.models.discrete.inhomogeneous | |
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| de.jstacs.models.discrete | |
| de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models. |
| de.jstacs.models.discrete.inhomogeneous.parameters | |
| de.jstacs.models.discrete.inhomogeneous.shared | |
| de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling. |
| Classes in de.jstacs.models.discrete.inhomogeneous used by de.jstacs.models.discrete | |
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| InhCondProb
This class handles (conditional) probabilities of sequences for ihnhomogeneous models. |
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| MEMConstraint
This constraint can be used for any maximum entropy model (MEM) application. |
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| Classes in de.jstacs.models.discrete.inhomogeneous used by de.jstacs.models.discrete.inhomogeneous | |
|---|---|
| BayesianNetworkModel
The class implements a Bayesian network ( StructureLearner.ModelType.BN ) of fixed order. |
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| DAGModel
The abstract class for directed acyclic graphical models ( DAGModel). |
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| InhCondProb
This class handles (conditional) probabilities of sequences for ihnhomogeneous models. |
|
| InhConstraint
This class is the superclass for all inhomogeneous constraints. |
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| InhomogeneousDGM
This class is the main class for all inhomogeneous discrete graphical models ( InhomogeneousDGM). |
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| MEMConstraint
This constraint can be used for any maximum entropy model (MEM) application. |
|
| SequenceIterator
This class is used to iterate over a discrete sequence. |
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| StructureLearner.LearningType
This enum defines the different types of learning that are
possible with the StructureLearner. |
|
| StructureLearner.ModelType
This enum defines the different types of models that can be
learned with the StructureLearner. |
|
| Classes in de.jstacs.models.discrete.inhomogeneous used by de.jstacs.models.discrete.inhomogeneous.parameters | |
|---|---|
| FSDAGModel
This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGModel). |
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| InhomogeneousDGM
This class is the main class for all inhomogeneous discrete graphical models ( InhomogeneousDGM). |
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| StructureLearner.LearningType
This enum defines the different types of learning that are
possible with the StructureLearner. |
|
| StructureLearner.ModelType
This enum defines the different types of models that can be
learned with the StructureLearner. |
|
| Classes in de.jstacs.models.discrete.inhomogeneous used by de.jstacs.models.discrete.inhomogeneous.shared | |
|---|---|
| FSDAGModel
This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGModel). |
|
| StructureLearner.LearningType
This enum defines the different types of learning that are
possible with the StructureLearner. |
|
| StructureLearner.ModelType
This enum defines the different types of models that can be
learned with the StructureLearner. |
|
| Classes in de.jstacs.models.discrete.inhomogeneous used by de.jstacs.models.mixture.gibbssampling | |
|---|---|
| DAGModel
The abstract class for directed acyclic graphical models ( DAGModel). |
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| FSDAGModel
This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGModel). |
|
| InhomogeneousDGM
This class is the main class for all inhomogeneous discrete graphical models ( InhomogeneousDGM). |
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