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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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Files | |
| aggregatorDecomposition.cpp | |
| Implementation of AggregatorDecomposition. | |
| aggregatorDecomposition.h | |
| Headers of AggregatorDecomposition. | |
| aggregatorDecomposition_tpl.h | |
| Inline implementation of AggregatorDecomposition. | |
| approximateInference.cpp | |
| approximateInference.h | |
| This file contains general methods for approximate inference. | |
| BayesNetInference.cpp | |
| BayesNetInference.h | |
| This file contains abstract class definitions for Bayesian networks inference classes. | |
| BayesNetInference_tpl.h | |
| Implementation of the non pure virtual methods of class BayesNetInference. | |
| estimator.cpp | |
| estimator.h | |
| This file contains estimating tools for approximate inference. | |
| estimator_tpl.h | |
| Implementation of Estimator for approximate inference in bayesian networks. | |
| evidenceInference.cpp | |
| evidenceInference.h | |
| This file contains the abstract class definition for computing the probability of evidence entered in Bayesian networks. | |
| evidenceInference_tpl.h | |
| Implementation of the non pure virtual methods of class JointTargetedInference. | |
| gibbsOperator.cpp | |
| gibbsOperator.h | |
| This file contains Gibbs sampling (for BNs) class definitions. | |
| gibbsOperator_tpl.h | |
| Implementation of Gibbs inference methods in Bayesian networks. | |
| jointTargetedInference.cpp | |
| jointTargetedInference.h | |
| This file contains the abstract inference class definition for computing (incrementally) joint posteriors. | |
| jointTargetedInference_tpl.h | |
| Implementation of the non pure virtual methods of class JointTargetedInference. | |
| marginalTargetedInference.cpp | |
| marginalTargetedInference.h | |
| This file contains the abstract inference class definition for computing (incrementally) marginal posteriors. | |
| marginalTargetedInference_tpl.h | |
| Implementation of the generic class for the computation of (possibly incrementally) marginal posteriors. | |
| relevantTensorsFinder.cpp | |
| relevantTensorsFinderType.cpp | |
| Class to include at least once this header. | |
| relevantTensorsFinderType.h | |
| the type of algorithm to use to perform relevant reasoning in Bayes net inference | |
| samplingInference.cpp | |
| samplingInference.h | |
| This file contains general methods for simulation-oriented approximate inference. | |
| samplingInference_tpl.h | |
| Implementation of the non pure virtual methods of class ApproximateInference. | |