Hello,
I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and any other method or penalization used.
How could I possibly have access to this information? Without it, my results obtained on JMP would be unusable as they would not be reproducible...
Thank you in advance for your reply!
