kjmj / bayesian-networks

Bayesian network that runs rejection sampling and likelihood weighting

bayesian-networks

Here we implement a bayesian network. It runs rejection sampling and likelihood weighting.

We chose to do option A.

Project Report: https://docs.google.com/document/d/1eRo916UaDDCmXksviulb9tiaRkocYmbHNLMrP3mf7M8/edit?usp=sharing

Project Data: https://docs.google.com/spreadsheets/d/1YVu2UEQJbT9Y_PHwk5wVNlY4YRZ9XecYhPfiZl_p7Tw/edit?usp=sharing

To run

python3 bn.py inputs/network_option_a.txt inputs/queryNum.txt numSamples

• numSamples is an integer representing the number of samples to run on
• inputs/queryNum.txt is the query file to run on, likely inputs/query1.txt or inputs/query2.txt

Libraries used

We chose to use networkx to store our network. We found it straightforward to work with. We also used pandas to store the cpt as a dataframe, which was nicer to work with than an array or dictionary.