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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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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 | |