Variable-Elimination

Table of Contents

• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Usage
• License
• Contact

About The Project

In this project we will implement the Variable Elimination algorithm for inference on a given probabilistic graphical model. The algorithm is as follows :-

Built With

• Python 3.7

Getting Started

Lets see how to run this program on a local machine.

Prerequisites

You will need the following modules

import sys
import warnings
from math import log10 , exp 4
import numpy

Installation

1. Clone the repo

git clone https://github.com/Shivvrat/Variable-Elimination.git

Use the main.py to run the algorithm.

Usage

Please enter the following command line argument :-

python main.py <uai_file_name > <evidence_file_name >

Please use the following command line parameters for the main.py file :-

• <uai_file_directory_and_name> Please provide the file that will be used as the .uai file

• <evidence_file_directory_and_name> Please provide the file that will be used as the uai.evid file

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Your Name - Shivvrat Arya@ShivvratA - [email protected]

Project Link: https://github.com/Shivvrat/Variable-Elimination.git