This repository contains a Python implementation of the Least Squares Support Vector Machine (LSSVM) model for both CPU and GPU. You can find theory and usage examples in the LSSVC.ipynb Jupyter notebook.

For a better viewing experience of the notebook: https://nbviewer.jupyter.org/github/RomuloDrumond/LSSVM/blob/main/LSSVC.ipynb

To use LSSVM in your project, install it from PyPI (when available):

# Install from PyPI (when available)
pip install lssvm

Alternatively, you can install it directly from the source:

git clone https://github.com/RomuloDrumond/LSSVM.git
cd LSSVM
pip install .

Contributions are welcome! We use modern Python development practices with a focus on code quality and comprehensive testing.

1. Fork and clone the repository.
2. Set up the development environment. This project uses uv for dependency management.

   # If you don't have uv, install it first
   make install-uv
   
   # Install dependencies
   make install-dev

3. Create a new branch for your feature or bug fix.
4. Implement your changes. Make sure to add tests for any new functionality.
5. Run checks before committing. This ensures your changes meet our quality standards.

   make pre-commit

6. Submit a pull request.

The Makefile contains several commands to streamline development. Run make help to see all options.

• make check: Run linting and type checking.
• make test: Run all tests.
• make test-fast: Run fast unit and integration tests.
• make test-slow: Run slow benchmark and complex dataset tests.