Skip to content

dfardis/idaes-pySTAR-fork

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

pySTAR Toolbox

Python Symbolic regression Through Algebraic Representations (pySTAR) provides tools for generating mathematical (symbolic) models that best fit some input data. The pySTAR toolbox allows for the definition of the form of the surrogate model and the regression parameter values simultaneously.

Reference

If you use this code please cite: "Sarwar, O. 2022, Algorithms for Interpretable High-Dimensional Regression, Carnegie Mellon University."

Getting Started

The pySTAR toolkit is installed as part of the IDAES Integrated Platform (IDAES-IP). Please see the README of the IDAES-PSE repository and/or the full IDAES install instructions for details.

Funding Acknowledgements

This work was conducted as part of the Institute for the Design of Advanced Energy Systems (IDAES) with support through the Crosscutting Research Program within the U.S. Department of Energy’s Office of Fossil Energy and Carbon Management (FECM).

About

pySTAR code for IDAES surrogates

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 89.5%
  • Python 10.5%