Error when plotting confidence intervals

[zzzrbx]

I'm following the tutorial on quantile regression, but there is an issue when plotting the forecast.

I'm following the tutorial on quantile regression in NeuralProphet, but there is an issue when plotting the forecast.

confidence_lv = 0.9
quantile_list = [round(((1 - confidence_lv) / 2), 2), round((confidence_lv + (1 - confidence_lv) / 2), 2)]


m = NeuralProphet(
    yearly_seasonality=True,
    weekly_seasonality=True,
    daily_seasonality=False,  
    quantiles=quantile_list,
    n_lags=30,
    epochs=10,
    n_forecasts=30,
)

m.set_plotting_backend('plotly')
metrics = m.fit(df)

df_future = m.make_future_dataframe(
    df, 
    n_historic_predictions=True,   
    periods=30, 
)

forecast = m.predict(df_future)

m.plot(forecast, forecast_in_focus=30)

I'm getting the error below. I'm not finding the parameter they mentioned anywhere in these functions above (I'm using version 0.6.2).

in NeuralProphet.plot(self, fcst, df_name, ax, xlabel, ylabel, figsize, forecast_in_focus, plotting_backend)
   1886 if len(self.config_train.quantiles) > 1:
   1887     if (self.highlight_forecast_step_n) is None and (
   1888         self.n_forecasts > 1 or self.n_lags > 0
   1889     ):  # rather query if n_forecasts >1 than n_lags>1
-> 1890         raise ValueError(
   1891             "Please specify step_number using the highlight_nth_step_ahead_of_each_forecast function"
   1892             " for quantiles plotting when auto-regression enabled."
   1893         )
   1894     if (self.highlight_forecast_step_n or forecast_in_focus) is not None and self.n_lags == 0:
   1895         log.warning("highlight_forecast_step_n is ignored since auto-regression not enabled.")

ValueError: Please specify step_number using the highlight_nth_step_ahead_of_each_forecast function for quantiles plotting when auto-regression enabled.