https://github.com/fabricioarendtorres/bayesianmarkovblanket

Gibbs sampler and Simulated Annealing for Bayesian Markov Blanket estimation.
https://github.com/fabricioarendtorres/bayesianmarkovblanket

Last synced: 2 days ago
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Gibbs sampler and Simulated Annealing for Bayesian Markov Blanket estimation.

• Host: GitHub
• URL: https://github.com/fabricioarendtorres/bayesianmarkovblanket
• Owner: FabricioArendTorres
• License: gpl-3.0
• Created: 2018-10-18T12:46:24.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-19T15:57:37.000Z (almost 6 years ago)
• Last Synced: 2024-10-12T16:44:19.564Z (about 1 month ago)
• Language: TeX
• Homepage:
• Size: 16.3 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# BayesianMarkovBlanket

Implementation of a Gibbs sampler and Simulated Annealing for Bayesian Markov Blanket estimation in context of my Master Thesis.

The Model and Gibbs sampler are based on 



Kaufmann, Dinu, et al. "Bayesian markov blanket estimation." Artificial Intelligence and Statistics. 2016.



For installing the dependencies, run:

    pip install Cython==0.28.4  

    pip install numpy==1.14.5

    pip install -r requirements.txt

  

An example for small networks can be run with

    ./example.py

which creates the output file example.html.