hackl / pybn

Simple Bayesian Network with Python

Python Bayesian Networks

Date

January 2021

Authors

Jürgen Hackl

Contact

[e-mail]

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.