└── README.md


/README.md:
--------------------------------------------------------------------------------
 1 | This repository would be updated when the code is open-sourced for the paper 
 2 | [Neural Additive Models: Interpretable Machine Learning with Neural Nets](https://arxiv.org/abs/2004.13912).
 3 | 
 4 | ### Update: The code for NAM models is released at https://github.com/google-research/google-research/tree/master/neural_additive_models. 
 5 | 
 6 | Currently, we release the tf.keras.Model (in `models.py`) for NAM which can be simply plugged into any neural network training procedure. We also provide helpers for building a computation graph using NAM for classification/regression problems with tf.compat.v1.
 7 | 
 8 | Update (July 7): Added training script for training NAM for a single test/train split.
 9 | 
10 | ETA for release of cross-validation training scripts for replicating paper results : July 25.
11 | 
12 | 


--------------------------------------------------------------------------------