Adding Future Regressor Error

[Msaleh87]

So I prepared my data as shown below:

This is my code, L12 is the dataset you see in the pic above:

L12M = L_prophet_5min_T[0:(12*30*24*12)] # the dataset show in the above pic
m = NeuralProphet(n_forecasts=(2*24*12),
    n_lags=(16*24*12),
    yearly_seasonality="auto",
    weekly_seasonality="auto",  
    daily_seasonality="auto",
    growth="off", seasonality_reg= 0.5, optimizer = 'AdamW',
    learning_rate = 0.1, n_changepoints="auto", changepoints_range = "auto",  batch_size = 16 ) 

m.add_country_holidays("US", mode="additive") 
m = m.add_future_regressor(name='A')
m = m.add_future_regressor(name='B')
m = m.add_future_regressor(name='C')
metrics = m.fit(L12M, freq="5min") 
m.highlight_nth_step_ahead_of_each_forecast(step_number=m.n_forecasts)

# the future values of A, B, and C
future_regressors_df = pd.DataFrame(data={'A': L_prophet_5min_T['A'][(12*30*24*12):(12*30*24*12)+576], 
                                          'B': L_prophet_5min_T['B'][(12*30*24*12):(12*30*24*12)+576],
                                          'C': L_prophet_5min_T['C'][(12*30*24*12):(12*30*24*12)+576]})

The model trains and saves fine, then when I try to forecast using this code, I get an error:

P_horizon = 576
future = m.make_future_dataframe(df = L12M, periods = P_horizon, n_historic_predictions=True) 
forecast1 = m.predict(df=future)

Should I add an argument for the future regressors inside the forecast?!

[Msaleh87]

Hi @ourownstory
I checked the documentation but didn't find anything that could help me, my guess is that I need to input/set the data frame differently, but not sure how?