jasneetbhatti/cs-7641-assignments

CS 7641 - All the code

CS 7641 Assignments

This repo is full of code for CS 7641 - Machine Learning at Georgia Tech.

This repo has been originally forked from Chad's repo (https://github.com/cmaron/CS-7641-assignments). A huge thanks to cmaron and jontay for sharing their code. Much of the code contained in this repo is based off of their work. Extended thanks to Pushkar for sharing his ABAGAIL codebase (https://github.com/pushkar/ABAGAIL) that was used for building assignment 2.

How do I use this?

Navigate to the relevant assignment folder in a terminal.

If a python virtual environment has been setup for the project, a simple pip install -r requirements.txt should take care of the required packages.

Each assignment folder has its own run_experiment.py that will do most of the work for you. Running python run_experiment.py -h should provide a list of options for what you can do. Each assignment folder also has its own readme with anything specific to note for that assignment.

For the most part it is simple to run a given set of experiments based on a specific algorithm. One flag to consider always including is --threads with a value of -1. This will speed up execution in some cases but also might use all available cores.

The --verbose flag can be helpful to view data about a given dataset or MDP.