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Python Bayesian Networks

Date: January 2021
Authors: Jürgen Hackl
Contact: hackl.j@gmx.at
Web site:http://github.com/hackl/pybn
Documentation:http://hackl.github.io/pybn/
Copyright: This document has been placed in the public domain.
License:PyBN is released under the GNU General Public Licence.
Version: 1.0.2

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.

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.

List of References

[GeNIe] Decision Systems Laboratory of the University of Pittsburgh, 2013. URL http://genie.sis.pitt.edu/

[Hackl2013] J. Hackl. Generic Framework for Stochastic Modeling of Reinforced Concrete Deterioration Caused by Corrosion. Master’s thesis, Norwegian University of Science and Technology, Trondheim, Norway, 2013.