aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
tools Directory Reference
Directory dependency graph for tools:

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.