Symbolic Regression/Equation Discovery Toolkit
Project description
Symbolic Regression/Equation Discovery Toolkit
This repository provides a Python-based toolkit for equation discovery/symbolic regression. Currently, the toolkit contains code for transforming infix expressions into trees, parameter estimation, and performance evaluation for symbolic regression models.
Currently, we only support (vanilla) mathematical expressions, however, we provide a simple interface for adding custom symbols. In the future, we might extend our functionality to support more advanced expressions (differential equations, PDEs, ...).
A simple example of how to use the toolkit can be found in the examples folder, mainly the examples/SR_evaluation script.
Contributing
Contributions are welcome! If you'd like to contribute to the project, please submit a pull request with a clear description of your changes.
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