************
Introduction
************

:Date: September 2013
:Authors: Jürgen Hackl
:Contact: hackl.j@gmx.at
:Web site: http://github.com/hackl/pybn
:Copyright: This document has been placed in the public domain.
:License: PyBN is released under the GNU General Public Licence.
:Version: 1.0.1

.. note::

   If you have any problems, found bugs in the code or have feature request
   comments or questions, please feel free to send a mail to `Jürgen Hackl`_.


.. _`Jürgen Hackl`: hackl.j@gmx.at



Purpose
=======

PyBN (Python Bayesian Networks) is a python module for creating simple
Bayesian networks. Its flexibility and extensibility make it applicable to a
large suite of problems. Along with the core functionality, PyBN includes an
export to `GeNIe`_.


Getting started
===============

This guide provides all the information needed to install PyBN, code a
Bayesian network, run the sampler, save and visualize the results. In
addition, it contains an export to `GeNIe`_.

.. _`GeNIe`: http://genie.sis.pitt.edu/