pracmln is a toolbox for statistical relational learning and reasoning and provides a pure python implementation of Markov logic networks. pracmln is a statistical relational learning and reasoning system that supports efficient learning and inference in relational domains. pracmln has started as a fork of the ProbCog toolbox and has been extended by latest developments in learning and reasoning by the Institute for Artificial Intelligence at the University of Bremen, Germany.


Project Page: http://www.pracmln.org

Lead developer: Daniel Nyga (nyga@cs.uni-bremen.de)

pracmln comes with its own sphinx-based documentation. To build it, conduct the following actions:

$ cd path/to/pracmln/doc
$ make html

If you have installed Sphinx, the documentation should be build. Open
it in your favorite web browser:

$ firefox _build/html/index.html

Sphinx can be installed by

$ sudo pip install sphinx sphinxcontrib-bibtex