The Libra Toolkit

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A collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, and more.

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核心功能

Structure learning for tractable models

Command-line programs for interactive use or scripting

Support for exact inference in probabilistic models

Implementation in OCaml for speed and efficiency

Various learning and inference algorithms

适用场景

Research in probabilistic modelingDevelopment of machine learning algorithmsAcademic and industrial applications of Bayesian networks

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学术研究

The Libra Toolkit

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