Uses of Package
de.jstacs.models.discrete.inhomogeneous

Packages that use de.jstacs.models.discrete.inhomogeneous
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
InhCondProb
          This class handles (conditional) probabilities of sequences for inhomogeneous models.
MEMConstraint
          This constraint can be used for any maximum entropy model (MEM) application.
 

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.
DAGModel
          The abstract class for directed acyclic graphical models (DAGModel).
InhCondProb
          This class handles (conditional) probabilities of sequences for inhomogeneous models.
InhConstraint
          This class is the superclass for all inhomogeneous constraints.
InhomogeneousDGM
          This class is the main class for all inhomogeneous discrete graphical models (InhomogeneousDGM).
MEMConstraint
          This constraint can be used for any maximum entropy model (MEM) application.
SequenceIterator
          This class is used to iterate over a discrete sequence.
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).
InhomogeneousDGM
          This class is the main class for all inhomogeneous discrete graphical models (InhomogeneousDGM).
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).
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).