Author: Ashwin Ramesh

A Python Implementation of the Bayesian Network

This is a simple binary Bayesian Network implementation. I had a lot of trouble trying to store the data for the conditional probability. If anyone has a better storage method please let me know.

Currently this implementation supports:

• Creating a binary state bayesian network
• Likelyhood Weighting Sampling

Code is open source of course but please do not use it for University/College assignments.

Running the Couldy Likeliness

• You need numpy and scipy installed as well as python2.7
• ./cloudy_likelihood.py < sample_size >