I am trying to apply NHiTS to some new data I have but I get an error of

Out of bounds nanosecond timestamp: 2385-12-31 00:00:00

when I do nf.predict(futr_df=df_test). But my df_test only has 364 days in it with dates going from 2022-01-03 to 2023-01-01. There is no date even close to 2385! Also, the 'ds' column is properly converted to datetime type. It's weird. I am thinking that 2385 might be coming from adding a date to the last point in an input batch? I'm not sure. There is a line in the error stack pointing to core.py line 109 dates=np.tile(last_date_f(last_dates[0], len(dataset)). Has anyone seen this type of error before?

Hi @Farzad E! It has been a while, hopefully everything was running smoothly 🙂. The dates are created based on the frequency you specified when you instantiated the

nf

object. Based on the value

2385-12-31

it seems you are using a frequency of

Y

or

A

, instead of day (

D

)

@Cristian (Nixtla) yeah I know. Have been busy with other things. Back to forecasting again 🙂. You are absolutely right. I found my dumb mistake after I learned how to make VSCode debugger step into the neuralforecast scripts while executing and saw the frequency was not right inside of

_future_dates

function of the core module. Thanks for the quick reply. Hope all is well with you and the team.