# pracmln

**Repository Path**: yuchen_z/pracmln

## Basic Information

- **Project Name**: pracmln
- **Description**: Markov Logic Networks in Python
- **Primary Language**: Unknown
- **License**: BSD-2-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-18
- **Last Updated**: 2021-01-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


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