https://github.com/dirmeier/structure-learning-with-pymc

Demo how one could use PyMC3 to learn the structure of a Bayesian network.
https://github.com/dirmeier/structure-learning-with-pymc

bayesian-network pymc3 python

Last synced: 9 months ago
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Demo how one could use PyMC3 to learn the structure of a Bayesian network.

• Host: GitHub
• URL: https://github.com/dirmeier/structure-learning-with-pymc
• Owner: dirmeier
• License: gpl-3.0
• Created: 2019-09-19T18:56:03.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2020-06-04T15:18:14.000Z (almost 6 years ago)
• Last Synced: 2025-04-09T08:02:52.448Z (11 months ago)
• Topics: bayesian-network, pymc3, python
• Language: Python
• Homepage: https://dirmeier.github.io/structure-learning-with-pymc/index.html
• Size: 275 KB
• Stars: 8
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Structure learning with PyMC3

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> Demo how one could use PyMC3 to learn the structure of a Bayesian network.

## About

If you are interested in probabilistic programming using `PyMC3` and also love Bayesian networks this repository is for you.

The code in `bn` shows how one could implement structure MCMC to learn the structure of a Bayesian network. If there are any questions, just open up an issue and ask.

## Author

Simon Dirmeier simon.dirmeier @ web.de