30 lines
930 B
Markdown
30 lines
930 B
Markdown
# Project 1: Regression and Resampling
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This project was authored by **Lars Bogner**.
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## Project Structure
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- **`src/`**: Contains the main code for the project. The majority of the implementation is contained in the `pyoptim` library.
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- **`main.ipynb`**: Jupyter Notebook used for figure generation.
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- **`report/`**: Contains the LaTeX source files for the project report.
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## Installation
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To install all dependencies, use the following command:
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```bash
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uv install
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```
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This uses the `uv` tool to manage the environment and dependencies. Refer to the [uv documentation](https://uv.readthedocs.io/en/latest/) for more details.
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If you opt not to use `uv`, you can manually install the required packages using pip:
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```bash
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pip install -r requirements.txt
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```
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## Usage
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1. Navigate to the `src/` directory.
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2. Open and run `main.ipynb` to generate figures.
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3. The generated figures will be saved in the `figures/` directory. |