LeoGrin / tabular-benchmark

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Commented out code in Resnet and MLP

Kunal458 opened this issue · comments

I was looking to benchmark the datasets with the given deep learning models and I found that much of the code is commented out in bin/mlp.py and resnet.py. Would the code work without the commented code, and is there any reason for it like fixing some errors in them?

The code for these two models is adapted from https://github.com/Yura52/rtdl. I kept their model architecture and commented out the rest of their code (data loading etc), which I deal with separately.

Alright understood. Thanks!