How to find the RMSE and MAE from raw predictions ?

[Mohan16071996]

Code is :

raw_prediction = best_tft.predict(
    training.filter(lambda x: (x.Ticker == "AAPL") ),
    mode="raw",
    return_x=True,
)

Here I get raw predictions, after getting this , i want to find RMSE and MAE.

Or is there a way to predict for each ticker in this code: Below code is for overall RMSE I believe

predictions = best_tft.predict(val_dataloader, return_y=True, trainer_kwargs=dict(accelerator="cpu"))
RMSE()(predictions.output, predictions.y)

[Mohan16071996]

Can someone please respond to this as soon as possible?

[anhphan2705]

Try this function here