MLCSHE: Machine Learning Component Systemic Hazard Envelope

This repository contains the ML-Component Systemic Hazard Envelope project, or MLCSHE (pronounced /'mɪlʃ/).

Authors

• Sepehr Sharifi (sshar190@uottawa.ca)
• Donghwan Shin (donghwan.shin@uni.lu)
• Lionel Briand (lbriand@uottawa.ca)

Prerequisites

• Python 3.7 or higher is recommended.

To install the required Python packages, first create a virtual environment and install the requirement.txt file.

# For MacOS or Ubuntu
python3 -m venv myvenv

# For Windows
python -m venv myvenv

source myvenv/bin/activate
pip install -r requirements.txt

This work is done at Nanda Lab, EECS, University of Ottawa in collaboration with SVV Lab, University of Luxembourg.