Metadata-Version: 2.4
Name: scikit-lite
Version: 0.0.1a0
Summary: Lightweight machine learning library with scikit-learn compatible API
Project-URL: Homepage, https://github.com/kowanietz/scikit-lite
Project-URL: Repository, https://github.com/kowanietz/scikit-lite
Project-URL: Issues, https://github.com/kowanietz/scikit-lite/issues
Author: scikit-lite contributors
Maintainer: scikit-lite contributors
License: MIT
License-File: LICENSE
Keywords: data-science,linear-regression,machine-learning,ml,numpy,scikit-learn
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.11
Requires-Dist: numpy>=2.3.5
Provides-Extra: dev
Requires-Dist: pre-commit>=4.5.0; extra == 'dev'
Requires-Dist: pytest>=7.0.0; extra == 'dev'
Requires-Dist: ruff>=0.14.8; extra == 'dev'
Description-Content-Type: text/markdown

# scikit-lite

⚠️ **PRE-ALPHA** - This package is in very early development. APIs will change.

A lightweight machine learning library built from scratch, following scikit-learn's API conventions.

## Installation

```bash
pip install scikit-lite
```

## Requirements

- Python >= 3.11
- NumPy >= 2.3.5

## Contributing

This project is in early development. Contributions are welcome but please note the API is unstable.

## License

MIT License - See LICENSE file for details.

## Acknowledgments

Inspired by scikit-learn's excellent API design and educational resources.
