Project 1: Regression and Resampling

This project was authored by Lars Bogner.

Project Structure

• src/: Contains the main code for the project. The majority of the implementation is contained in the pyoptim library.
  • main.ipynb: Jupyter Notebook used for figure generation.
• report/: Contains the LaTeX source files for the project report.

Installation

To install all dependencies, use the following command:

uv install

This uses the uv tool to manage the environment and dependencies. Refer to the uv documentation for more details.

If you opt not to use uv, you can manually install the required packages using pip:

pip install -r requirements.txt

Usage

1. Navigate to the src/ directory.
2. Open and run main.ipynb to generate figures.
3. The generated figures will be saved in the figures/ directory.