Markov logic networks in Python
Project description
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
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