About:
The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, sum-product networks, arithmetic circuits, and mixtures of trees.
Changes:
Version 1.1.2d (12/29/2015):
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Minor fixes to scripts
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Published in JMLR ML-OSS!
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- Operating System:
Cygwin,
Linux,
Mac Os X
- Data Formats:
Ascii
- Tags:
Structure Learning,
Approximate Inference,
Bayesian Networks,
Markov Random Fields,
Dependency Networks,
Arithmetic Circuits,
Exact Inference,
Markov Networks,
Sum Product Networks
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