https://github.com/sonph/bayesnetinference
Python implementation of variable enumeration and variable elimination algorithms for exact inference in probabilistic Bayesian networks.
https://github.com/sonph/bayesnetinference
Last synced: about 1 year ago
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Python implementation of variable enumeration and variable elimination algorithms for exact inference in probabilistic Bayesian networks.
- Host: GitHub
- URL: https://github.com/sonph/bayesnetinference
- Owner: sonph
- Created: 2014-04-27T21:02:28.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2014-06-09T04:18:23.000Z (about 12 years ago)
- Last Synced: 2023-08-01T22:36:49.220Z (almost 3 years ago)
- Language: Python
- Homepage:
- Size: 164 KB
- Stars: 12
- Watchers: 3
- Forks: 11
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# BayesNet.py
## Description
This is one of the programming assignments I did in the Introduction to Artificial Intelligence course (CS4365). It implements two algorithms for performing exact inference given a Bayesian network, namely variable enumeration and variable elimination. These exact inference algorithms produce, well, exact probability distribution over the query variable given the observed evidences, as compared to the method of sampling which gives an approximate result.
[Full post and description here](http://sonph.net/code/2014/04/26/exact-inference-in-bayesian-networks/)
## License
