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pracmln

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Markov Logic Networks in Python

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pracmln -- Markov logic networks in Python
==========================================

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)

Installation
------------

$ pip install pracmln

Documentation
-------------

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 with

$ sudo pip install sphinx sphinxcontrib-bibtex