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

Directories

 
divergence

Files

 
barrenNodesFinder.cpp
 Detect barren nodes for inference in Bayesian networks.
 
barrenNodesFinder.h
 Detect barren nodes for inference in Bayesian networks.
 
barrenNodesFinder_inl.h
 
barrenNodesFinder_tpl.h
 
BayesBall.cpp
 Implementation of the BayesBall class.
 
BayesBall.h
 The BayesBall algorithm (as described by Schachter).
 
BayesBall_inl.h
 Implementation of the BayesBall class.
 
BayesBall_tpl.h
 Implementation of the BayesBall class.
 
dSeparationAlgorithm.cpp
 d-separation analysis (as described in Koller & Friedman 2009)
 
dSeparationAlgorithm.h
 d-separation analysis (as described in Koller & Friedman 2009)
 
dSeparationAlgorithm_inl.h
 d-separation analysis (as described in Koller & Friedman 2009)
 
dSeparationAlgorithm_tpl.h
 d-separation analysis (as described in Koller & Friedman 2009)
 
essentialGraph.cpp
 Source implementation of the class building the essential Graph from a DAGmodel.
 
essentialGraph.h
 Class building the essential Graph from a DAGmodel.
 
essentialGraph_inl.h
 Inline implementation of the class building the essential Graph from a DAGmodel.
 
MarkovBlanket.cpp
 Source implementation of the class building the Markov Blanket from a DAGmodel and a node (id or name).
 
MarkovBlanket.h
 Class building the markovBlanket from a DAGmodel and a node name.
 
MarkovBlanket_inl.h
 Inline implementation of the class building the essential Graph from a DAGmodel.
 
structuralComparator.cpp
 
structuralComparator.h
 A class for comparing graphs based on their structures.
 
structuralComparator_tpl.h