Metadata-Version: 2.1
Name: GRANDE
Version: 0.0.1
Summary: A novel ensemble method for hard, axis-aligned decision trees learned end-to-end with gradient descent.
Home-page: https://github.com/s-marton/GRANDE
Author: Sascha Marton
Author-email: sascha.marton@gmail.com
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow ==2.13
Requires-Dist: tensorflow-addons >=0.21.0
Requires-Dist: numpy >=1.23.2
Requires-Dist: scikit-learn >=1.3.0

# GRANDE: Gradient-Based Decision Tree Ensembles

This is the official implementation of GRANDE by Sascha Marton. Details on the approach can be found in the paper available under: https://arxiv.org/abs/2309.17130

A more detailed documentation will follow soon. For now, please visit the official repository of the paper for details: https://github.com/s-marton/grande

Please note that this is an experimental implementation which is not fully tested yet. If you encounter any errors or you observe unexpected behavior, please let me know.
