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PyMLNs: Markov Logic Networks in Python

PyMLNs is a toolbox and software library for learning and inference in Markov logic networks, a statistical relational knowledge representation formalism that combines logical constraints with the probabilistic semantics of graphical models.

PyMLNs has been merged into ProbCog, a comprehensive toolbox for statistical relational learning and reasoning, which, in addition to MLNs, also supports a directed statistical relational language called Bayesian logic networks. ProbCog is more convenient to install and use; using PyMLNs through ProbCog is therefore recommended.

people/jain/mlns.txt · Last modified: 2012/05/10 11:13 by jain