aGrUM  0.13.2
CN Directory Reference
+ Directory dependency graph for CN:

Files

file  CNLoopyPropagation.cpp [code]
 Implementation of the BayesNetFactory class.
 
file  CNLoopyPropagation.h [code]
 Class implementing loopy-propagation with binary networks - L2U algorithm.
 
file  CNLoopyPropagation_tpl.h [code]
 
file  CNMonteCarloSampling.cpp [code]
 Implementation of the BayesNetFactory class.
 
file  CNMonteCarloSampling.h [code]
 Inference by basic sampling algorithm (pure random) of bnet in credal networks.
 
file  CNMonteCarloSampling_tpl.h [code]
 
file  credalNet.cpp [code]
 Implementation of the BayesNetFactory class.
 
file  credalNet.h [code]
 Class representing Credal Networks.
 
file  credalNet_tpl.h [code]
 
file  inferenceEngine.cpp [code]
 Implementation of the Inference Engine for credal networks.
 
file  inferenceEngine.h [code]
 Abstract class representing CredalNet inference engines.
 
file  inferenceEngine_tpl.h [code]
 the class for computing G2 scores
 
file  LpInterface.cpp [code]
 Class to include at least once this header.
 
file  LpInterface.h [code]
 Class representing a polytope ( credal set ) by a set of linear constraints.
 
file  LpInterface_tpl.h [code]
 
file  LrsWrapper.cpp [code]
 Class to include at least once this header.
 
file  LrsWrapper.h [code]
 Lrs wrapper.
 
file  LrsWrapper_tpl.h [code]
 
file  multipleInferenceEngine.cpp [code]
 Implementation of the Multiple Inference Engine for credal networks.
 
file  multipleInferenceEngine.h [code]
 Abstract class representing CredalNet inference engines.
 
file  multipleInferenceEngine_tpl.h [code]
 
file  varMod2BNsMap.cpp [code]
 Implementation of the Multiple Inference Engine for credal networks.
 
file  varMod2BNsMap.h [code]
 Class used to store optimum IBayesNet during some inference algorithms.
 
file  varMod2BNsMap_tpl.h [code]