An Evolutionary Approach to Interpretable Learning (GECCO'21)

Welcome to the Github repository of An Evolutionary Approach to Interpretable Learning, an article published in The Genetic and Evolutionary Computation Conference (GECCO'21) Companion Proceedings. This article presents an evolutionary framework for feature investigation in high-dimensional maching learning prediction problems.

Getting Started

git clone https://github.com/jr2021/GA_feature_synergy.git
cd demo

Google Colab

Upload demo_colab.ipynb to Google Drive and run in Google Colab.

Jupyter Notebook

Install the required dependencies and run locally in a Jupyter Notebook.

pip install jupyter-lab
jupyter notebook demo_jupyter.ipynb