Metadata-Version: 2.4
Name: interpretsr
Version: 1.0.2
Summary: Deep Learning Interpretability with Symbolic Regression.
Author: Liz Tan
Author-email: eszt2@cam.ac.uk
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: torch
Requires-Dist: pysr
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: sympy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
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![logo](https://raw.githubusercontent.com/elizabethsztan/InterpretSR/main/docs/_static/InterpretSR_header.png)

*InterpretSR* allows you to approximate the behaviour of multi-layer perceptrons (MLPs) in deep learning models with symbolic equations using [PySR](https://ai.damtp.cam.ac.uk/pysr/).

## Installation

```bash
pip install interpretsr
```

## Documentation

Full documentation is available at [ReadTheDocs](https://interpretsr.readthedocs.io/).

## License

MIT License
