Has anybody implemented time series forecasting using pytorch_forecasting.models.nhits or TFT ?
I have two issues
-
prediction = best_tft.predict(val_dataloader, return_x=True,return_y=True)
how do i interprete the preidction?
I want to convert it back to pandas dataframe. -
for pytorch_forecasting.models.nhits
I am getting error
mat1 and mat2 shapes cannot be multiplied (1x18516 and 24036x64)
I am not getting how to resolve this?