Description
I'm using the following to forecast using nixtla client:
nixtla_client.forecast(df=df, h=10, time_col=[See the following], target_col="Measurement")
My use-case involves two temporal series:
-
A time series with measurement at irregular intervals. The above method gives the following error:
RuntimeError: Could not infer the frequency of the time column. This could be due to inconsistent intervals. Please check your data for missing, duplicated or irregular timestamps
-
A sequence of measurement not timestamped, with the precedence of measurement defined using an integer. Similarly, the above method throws the following error:
AttributeError: Can only use .dt accessor with datetimelike values
Link
No response
Description
I'm using the following to forecast using nixtla client:
My use-case involves two temporal series:
A time series with measurement at irregular intervals. The above method gives the following error:
A sequence of measurement not timestamped, with the precedence of measurement defined using an integer. Similarly, the above method throws the following error:
Link
No response