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aGrUM
0.14.2
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Files | |
file | approximateInference.cpp [code] |
file | approximateInference.h [code] |
This file contains general methods for approximate inference. | |
file | BayesNetInference.cpp [code] |
file | BayesNetInference.h [code] |
This file contains abstract class definitions for Bayesian networks inference classes. | |
file | BayesNetInference_tpl.h [code] |
Implementation of the non pure virtual methods of class BayesNetInference. | |
file | estimator.cpp [code] |
file | estimator.h [code] |
This file contains estimating tools for approximate inference. | |
file | estimator_tpl.h [code] |
Implementation of Estimator for approximate inference in bayesian networks. | |
file | evidenceInference.cpp [code] |
file | evidenceInference.h [code] |
This file contains the abstract class definition for computing the probability of evidence entered in Bayesian networks. | |
file | evidenceInference_tpl.h [code] |
Implementation of the non pure virtual methods of class JointTargetedInference. | |
file | gibbsOperator.cpp [code] |
file | gibbsOperator.h [code] |
This file contains Gibbs sampling (for BNs) class definitions. | |
file | gibbsOperator_tpl.h [code] |
Implementation of Gibbs inference methods in Bayesian Networks. | |
file | jointTargetedInference.cpp [code] |
file | jointTargetedInference.h [code] |
This file contains the abstract inference class definition for computing (incrementally) joint posteriors. | |
file | jointTargetedInference_tpl.h [code] |
Implementation of the non pure virtual methods of class JointTargetedInference. | |
file | marginalTargetedInference.cpp [code] |
file | marginalTargetedInference.h [code] |
This file contains the abstract inference class definition for computing (incrementally) marginal posteriors. | |
file | marginalTargetedInference_tpl.h [code] |
Implementation of the generic class for the computation of (possibly incrementally) marginal posteriors. | |
file | relevantPotentialsFinder.cpp [code] |
file | relevantPotentialsFinderType.cpp [code] |
Class to include at least once this header. | |
file | relevantPotentialsFinderType.h [code] |
the type of algorithm to use to perform relevant reasoning in Bayes net inference | |
file | samplingInference.cpp [code] |
file | samplingInference.h [code] |
This file contains general methods for simulation-oriented approximate inference. | |
file | samplingInference_tpl.h [code] |
Implementation of the non pure virtual methods of class ApproximateInference. | |