Member of our department, Sebastian Mežnar presented at the WCCI conference as part of the Workshop on Symbolic Regression and Equation Discovery. Sebastian announced the launch of version 1.6.0 of SRToolkit, his Python package for symbolic regression.

This new release focuses heavily on reproducibility and ease of use. Key updates include:
– Easier Sharing: Seamlessly share your code, configuration, data, and experimental setups.
– Grammars and constraints: Add custom constraints to your search space effortlessly.
– Performance Boosts: Significant speed and efficiency gains.

Check out the package and documentation here: https://lnkd.in/dw59pkbi