Metadata-Version: 2.1
Name: autora-theorist-bsr
Version: 1.0.0
Summary: Bayesian Symbolic Regression theorist for AutoRA
Author-email: "Sida (Star) Li" <listar2000@uchicago.edu>
License: MIT License
Project-URL: homepage, http://www.empiricalresearch.ai
Project-URL: repository, https://github.com/AutoResearch/autora-theorist-bsr
Project-URL: documentation, https://autoresearch.github.io/autora/
Requires-Python: <4,>=3.8
Description-Content-Type: text/markdown
Requires-Dist: autora-core
Requires-Dist: scikit-learn
Requires-Dist: scipy
Provides-Extra: dev
Requires-Dist: autora-core[dev] ; extra == 'dev'

# AutoRA Bayesian Symbolic Regression

`autora-theorist-bsr` is a Python module built on AutoRA that can be used to discover equations that fit data.

Website: [https://autoresearch.github.io/autora/](https://autoresearch.github.io/autora/)

## User Guide

You will need:

- `python` 3.8 or greater: [https://www.python.org/downloads/](https://www.python.org/downloads/)

Install BSR as part of the `autora` package:

```shell
pip install -U "autora[theorist-bsr]" --pre
```

> It is recommended to use a `python` environment manager like `virtualenv`.

Check your installation by running:
```shell
python -c "from autora.theorist.bsr import BSRRegressor; BSRRegressor()"
```
