probabilistic Graphical Models

project submission for DDS096212 — probabilistic Graphical Models

Date: May, 2023.

Authors

Avishag Nevo: avishag.nevo@campus.technion.ac.il

Environment setup

Project enviorment dependencies listed in src\pgm_environment.yml.

Anaconda/Miniconda

From project root folder, run:

conda env create -f pgm_environment.yml -n pgm_env
conda activate pgm_env

Datasets

The synthetic data produced by the course staff (grid4x4.uai) at the project assigment ./data folder.

Structure

Code

All code is implemented in the src/ directory, which includes:

-[skeleton.py](src/skeleton.py): contains an implementation to the function computePartitionFunctionWithEvidenc, it also contains two functions, ExperimentsDistributionQUniform, ExperimentsDistributionQRB.