This repository contains all code used in the research paper "FELIX: Automatic and Interpretable Feature Engineering Using LLMs", presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024) on September 10-11, 2024. The final published paper is available here. A copy can be found in this repository here. The code is made available to support researchers and practitioners interested in using FELIX or exploring and building on our work.
All code used in the paper can be found in Paper/FELIX.ipynb. The code was written in a Jupyter Notebook format using Google Colab. The paper experiments were conducted between December 18, 2023 and March 21, 2024.
This project's code is licensed under the MIT License. See the LICENSE.txt file for details.
If you use this code for your research, please cite our paper:
@inproceedings{malberg2024felix,
title={FELIX: Automatic and Interpretable Feature Engineering Using LLMs},
author={Malberg, Simon and Mosca, Edoardo and Groh, Georg},
booktitle={Machine Learning and Knowledge Discovery in Databases. Research Track},
year={2024},
publisher={Springer Nature Switzerland},
pages={230--246},
isbn={978-3-031-70359-1}
}