deep-learning-for-indentation icon indicating copy to clipboard operation
deep-learning-for-indentation copied to clipboard

Published 20 hours ago • verified publisher icon lululxvi

High MAPE with DeepXDE 1.1.2 and TensorFlow 2.7.0 – Seeking Assistance

Open jingyu124 opened this issue 6 months ago • 1 comments

Hello Professor, I am trying to present the results of Figure S1 A from your paper, specifically focusing on the values of E*.

I am using DeepXDE version 1.1.2 with TensorFlow 2.7.0 as the backend. The data is generated by executing the gen-forward code in model.py.

Is the MAPE value on the Y-axis of Figure S1 directly calculated in the code, or should it be separately computed from the result files? The average MAPE values are excessively high. Can you suggest any potential issues causing this? Thank you.

image image

jingyu124 avatar Dec 26 '23 11:12 jingyu124