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.
Last edited 10.05.2012 11:13 by Dominik Jain
