Metadata-Version: 2.4
Name: ml-sfa
Version: 0.1.0
Summary: Machine Learning approaches to Stochastic Frontier Analysis
Project-URL: Homepage, https://github.com/nbx-liz/ML-SFA
Project-URL: Repository, https://github.com/nbx-liz/ML-SFA
Author: nbx
License-Expression: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Requires-Python: >=3.11
Requires-Dist: matplotlib>=3.8
Requires-Dist: numpy>=1.26
Requires-Dist: pandas>=2.1
Requires-Dist: scikit-learn>=1.4
Requires-Dist: scipy>=1.12
Requires-Dist: statsmodels>=0.14
Provides-Extra: bart
Requires-Dist: pymc-bart>=0.6; extra == 'bart'
Requires-Dist: pymc>=5.10; extra == 'bart'
Provides-Extra: nn
Requires-Dist: torch>=2.2; extra == 'nn'
Description-Content-Type: text/markdown

# ML-SFA

Machine Learning approaches to Stochastic Frontier Analysis.

## Installation

```bash
pip install ml-sfa

# With neural network support
pip install ml-sfa[nn]

# With BART-SFM support
pip install ml-sfa[bart]
```

## Development

```bash
uv sync --frozen --dev
make ci
```

## License

MIT
