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| Packages that use ProbDistribution | |
|---|---|
| lio.probdistributions.bitchain | |
| lio.probdistributions.contchain | |
| lio.search.probabilistic | |
| Uses of ProbDistribution in lio.probdistributions.bitchain | 
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| Classes in lio.probdistributions.bitchain that implement ProbDistribution | |
|---|---|
 class | 
BinaryProbDistribution
This class implements the common features and data structures for the binary probability distributions.  | 
 class | 
BivariateProbDistribution
This class implements the common features and data structures of bivariate probability distributions.  | 
 class | 
Chain
Learns a bivariate model from bitChains where each node can have only one child.  | 
 class | 
DependencyNetworkProbDistribution
This abstract class implements common features that are needed for multivariate probability distributions that allow cycles (dependency networks) like Gibbs sampling.  | 
 class | 
MarginalProbabilityVector
This class implements a probability distribution for binary elements assuming that all variables are independents.  | 
 class | 
MarginalProducts
This class stores the probabilities as marginal distributions of subsets of variables as it is done in EcGA proposed by George Harik.  | 
 class | 
MultivariateMI_DN
 | 
 class | 
Tree
 | 
| Uses of ProbDistribution in lio.probdistributions.contchain | 
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| Classes in lio.probdistributions.contchain that implement ProbDistribution | |
|---|---|
 class | 
ContinuousProbDistribution
This class implements the common features and data structures for continuous probability distributions.  | 
| Uses of ProbDistribution in lio.search.probabilistic | 
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| Methods in lio.search.probabilistic that return ProbDistribution | |
|---|---|
 ProbDistribution | 
EDA.getProbDistribution()
 | 
| Methods in lio.search.probabilistic with parameters of type ProbDistribution | |
|---|---|
 void | 
EDA.setProbDistribution(ProbDistribution probDistribution)
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