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[v2 QUESTION]: SpectralFNN functionality #829
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We don't have full support for spectral predictions at the moment, but you can access the I hope this helps, and let me know if you encounter any further issues. |
Hello, I've followed your steps but am still getting a nan training loss immediately, is there any information I can provide to help troubleshoot this? |
Hi Rhys, When you create the train, validation, and test datasets, can you check if a further scaler is being applied? It would look like Additionally, we could double check the metric to see if it's a potential issue there. From your first post, I'm assuming it's MSE that you are using. Is this correct? If you still are encountering NaN training losses after this, then it would be helpful to have a look at the input data if you are able to share a small example or some representative data that is similar to your actual training set. |
Hi, after removing the scalers I was still getting NaNs and so I just added a small constant (1e-3)ish to every row and that seems to fix the NaN issue for now |
Glad that it's working now. For our information going forward with the full spectral implementation in v2, were there any negative or zero values in the input data? v1 filtered these out similarly to what you did here, so that may be what was causing the issue. |
Closing for lack of user in put - please re-open or open a new issues if something arises. |
How does the SpectralFNN predictor model function? I'm not sure how to pass the correct dimensions to this module:
I can see that there is an n_targets parameter but I can't access this without just changing the file
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