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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.
Version 1.1.0 (3/26/2014):
Added SPN library
Added API documentation for all libraries
Introduced libra script as a unified interface to all programs
Many minor improvements to the code, interface, and documentation.
- Operating System:
Mac Os X
- Data Formats:
Markov Random Fields,
Sum Product Networks