how should we go about making the

S_df

dataframe? i'm on

v0.0.9

and it asks for:

S_df: pd.DataFrame
     Static exogenous variables with columns ['unique_id', 'ds'] and static variables.

i assumed it would look similar to the

Y_df

dataframe, with columns for

unique_id, ds, y

, but on

.fit

it throws the following error:

ValueError('Found duplicated unique_ids in S_df')

i think because we have

unique_id, ds

as a time series in

S_df

, any ideas on what i'm missing?

Hi @Chris Gervais! Thanks for using NeuralForecast. The docstring is wrong, thanks for catching that. S_df should only contain the column unique_id and the static features (constant for each time series through time, for example, a category)