Probability Overflow Repository

This repository contains code to perform a sensitivity analysis of overflow probability. The goal is to evaluate the importance of attributes in a randomly generated dataset and analyze their impact on a known function.

Setting Up the Environment

After cloning the repository, follow the steps below to set up and run Jupyter Lab with the code in this repository.

Install Python

Make sure you have the uv tool installed. If not, you can install it via pip:

pip install uv

Install Dependencies Using uv

Then, run the following command to install all dependencies from the pyproject.toml:

uv sync

Run Jupyter lab

 uv run --with jupyter jupyter lab