This repo is basic implementations of different methods of a bayesian network reasoner.

Methods Implemented:

• D-Separation
• Ordering
• Network-pruning
• Marginal distribution (prior and posterior)
• MAP and MPE

• root folder: has all the programs with test files.
• testing : have different size bayesian networks we used including the BIFXML file developed out of our use-case (crime_causes.BIFXML).

From the root folder:

pip install -r requirements.txt

• Python3 - This program is written using Python

• Running the test files(file names ending with test) will execute the respective method with the given parameters in the test file.
• In order to test for d-separation, please run the DSeparation.py file.