deep-learning-for-indentation
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replicating the results - MAPE
Hello Prof. Lu! I am trying to replicate the results in Fig S1 A for which I am running the validation_model("sigma_y", 10) varying the train size 10 to 20, 30, ..., 10,000 manually each time I run it.
My question is whether the MAPE on the y-axis in Fig S1 A is the mean value of the MAPE as the output of the validation_model. Running the model for tain_size=10 I get the mean value=1274.4625 which is not in the order of magnitude of MAPE in Fig S1 A. I have run it for tain_size up tp 100 and no close value to what it is in Fig S1 A. I would appreciate your response on this please.
Result: sigma_y 10 1274.4625 689.9193
I have the same issue with Fig S1 B.
I also run into the same problem.
Did you use the DeepXDE version mentioned at https://github.com/lululxvi/deep-learning-for-indentation#code?
Thank you. I am using version 1.1.2 and still getting very high mean values of MAPE. Also, running the Validation_FEM (trying to replicate Fig 2B), the MAPE values are of the order 1000. I appreciate your advice on this.
Thank you, Lu lu. I am using the version 0.14.1. I set the set standardize=True in dde.data.DataSet(), not the dde.data.MfDateSet(), and it seems ok with MAPE under order 100, for both Fig S1 B and Fig 2 B. Thank you for your information.
I did the same although my version is 1.1.2 and now it seems working. Thank you!
@Shatom Do you mean that you resolved the issue and it works?
@lululxvi Yes.