Figure 1: The InterpreTabNet Architecture presenting a variational formulation of the TabNet encoder.
Figure 2: Left (a): Learned masks associated with InterpreTabNet. Right (b): Learned masks associated with TabNet. Bottom (c): Stacked InterpreTabNet Feature Masks between subsequent feature masks.
Clone this repository and navigate to it in your terminal. Install required packages and dependencies as follows.
conda create -n interpretabnet python=3.10
conda activate interpretabnet
pip install -r requirements.txt
To run InterpreTabNet with a desired dataset, it is recommended to use the "interpretabnet.ipynb" file for the most up-to-date codebase.