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bncore::Graph, the discrete Bayesian network model: variables, their states, directed edges and conditional probability tables. More...
#include "bncore/graph/node.hpp"#include <memory>#include <stdexcept>#include <unordered_map>#include <vector>Go to the source code of this file.
Classes | |
| class | bncore::Graph |
| Directed graphical model over discrete variables. More... | |
Namespaces | |
| namespace | bncore |
bncore::Graph, the discrete Bayesian network model: variables, their states, directed edges and conditional probability tables.
A Graph is the input of JunctionTreeCompiler::compile(). The junction tree and the inference workspaces keep a pointer to the graph and read its CPTs when they build their potentials, so the graph must outlive them.
Definition in file graph.hpp.