py-bbn

pybbn logo.

py-bbn is a Python implementation of probabilistic and causal inference in Bayesian Belief Networks using exact inference algorithms [CGH97, Cow98, HD99, Kol09, Mur12].

You may install py-bbn from pypi.

pip install pybbn

If you like py-bbn, you might be interested in our next-generation products.

turing_bbn is a C++17 implementation of py-bbn; take your causal and probabilistic inferences to the next computing level!

turing_bbn logo.

pyspark-bbn is a is a scalable, massively parallel processing MPP framework for learning structures and parameters of Bayesian Belief Networks BBNs using Apache Spark.

pyspark-bbn logo.

Please contact us at info@oneoffcoder.com. Let’s reach for success!

API Documentation

Indices and tables

Citation

@misc{vang_2017,
title={PyBBN},
url={https://github.com/vangj/py-bbn/},
author={Vang, Jee},
year={2017},
month={Jan}}

Author

Jee Vang, Ph.D.

  • Patreon: support is appreciated

  • GitHub: sponsorship will help us change the world for the better

Help