# Description

Decision rules network is a special type of MLP that, once trained, can be directly mapped to a set of decision rules. 

This repository contains the source code of the paper ["Learning Accurate and Interpretable Decision Rule Sets from Neural Networks"](https://arxiv.org/pdf/2103.02826.pdf).

Please see tutorial.ipynb to get started. 

# Dependencies

1. numpy
2. pandas
3. scitkit-learn
4. pytorch