Visualizing a graphical model is a great way to gain some quick insight into a distribution's structure. This script will parse a model description in the UAI08 file format and output a representation of the corresponding factor graph, Markov random field, or Bayesian network in the DOT language used by Graphviz. In addition to Graphviz's own visualization algorithms, files in this format are compatible with a variety of other graph visualization packages.
This code is released under the very permissive MIT license, so do with it as you please. That said, if you make any fixes or enhancements that might be generally useful, please consider submitting a patch or pull request.
./uai2dot -o mygraph.dot mygraph.uai
markov.uai
MARKOV
4
2 2 2 2
4
2 0 1
2 0 2
2 1 3
3 1 2 3
4 1 1 1 1
4 1 1 1 1
4 1 1 1 1
8 1 1 1 1 1 1 1 1
markov.dot
graph "markov.uai" {
node [shape=circle, fixedsize=true]; V0 [label=0]; V1 [label=1]; V2 [label=2]; V3 [label=3];
node [shape=square, fixedsize=true]; F0 [label=0]; F1 [label=1]; F2 [label=2]; F3 [label=3];
F0 -- V0;
F0 -- V1;
F1 -- V0;
F1 -- V2;
F2 -- V1;
F2 -- V3;
F3 -- V1;
F3 -- V2;
F3 -- V3;
overlap=scale;
label="markov.uai";
}
markov.png
