PDE-Net
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Using my own Data
Hello,
I've gotten the training, testing and plotting to work on my own set-up and have recreated your results. I see that the data PDE-Net is trained with is generated in the pdedata.py file. What is the best way to incorporate my own data and how do I feed it to PDE-Net?
Additionally, in PDE-Net 2.0 it is demonstrated that an actual equation can be output. How can I get PDE-Net to output the approximate PDE? Is there code available for PDE-Net 2.0?
The code for PDE-Net 2.0 is stored in branch PDE_Net 2.0
What is the best way to incorporate my own data and how do I feed it to PDE-Net?
Insead of applying PDE-Net (2.0) directly to your own problems, I recommand you to build your own codes upon the basic extension library aTEAM for further reseach.
Additionally, in PDE-Net 2.0 it is demonstrated that an actual equation can be output. How can I get PDE-Net to output the approximate PDE? Is there code available for PDE-Net 2.0?
See burgersdebug.py. We create(or load) a model, and print the analytic form of the learned PDE from the learned model. For example: for poly in model.polys: termsym,coeffssym = poly.coeffs(calprec=8) print(termsym[:8]) print(coeffssym[:8])
Dear Zichao Long,
I tried to run burgersdebug.py. But the error I got like below: FileNotFoundError: [Errno 2] No such file or directory: 'checkpoint/burgers-frozen-upwind-sparse0.005-noise0.001/params/block-9-xopt-final'
How can I fix it? Is it the wrong file I run in the beginning? if this file should not be the first one, which file should I start to get the same plots about burgers from the paper?
Thank you so much!