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I'm new to the community and currently learning how to train PINNmodels using DeepXDE. I have some input-output data pairs obtained from simulations, and I intend to use a portion of this data for training the model and another set for testing it.
To integrate this data with my PINN, can I directly use these input-output pairs in training, or do I need to modify certain parts of the code to achieve this? So far, I haven't found relevant examples in the case library that could guide me on how to proceed. It seems that in examples where equation constraints are applied, the inputs to the neural network are typically generated through some method, rather than using external input-output data directly.
Could you please provide me with some guidance on how to effectively incorporate my own dataset into the training process of a PINN using DeepXDE? Specifically, I would like to know if there are any steps I should follow or modifications I should make to the existing codebase to ensure my data is correctly utilized for training and testing purposes.
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