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Name: equation-tree
Version: 0.0.30
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Author-email: Younes Strittmatter <younes_strittmatter@brown.edu>
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Project-URL: homepage, http://www.empiricalresearch.ai
Project-URL: repository, https://github.com/AutoResearch/equation-tree
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# Equation Tree

The Equation Tree package is an equation toolbox with symbolic regression in mind. It represents
expressions as incomplete binary trees and has various features tailored towards testing symbolic
regression algorithms or training models. The main features are:

- Equation sampling (including priors)
- Feature Extraction from equation distributions
- Distance metrics between equations


## Getting Started

Check out the documentation at 
[https://autoresearch.github.io/equation-tree](https://autoresearch.github.io/equation-tree).

## About

This project is in active development by
the <a href="https://musslick.github.io/AER_website/Research.html">Autonomous Empirical Research
Group</a>
(package developers: Ioana Marinescu and <a href="https://younesstrittmatter.github.io/">Younes Strittmatter</a>,
PI: <a href="https://smusslick.com/">Sebastian Musslick</a>. This research program is supported by
Schmidt Science Fellows, in partnership with the Rhodes Trust, as well as the Carney BRAINSTORM
program at Brown University.
