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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.

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.
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Description
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Readme 8.9 MiB
Languages
TeX 50.2%
Jupyter Notebook 28.2%
Python 21.6%