Ошибка при построении доверительных интервалов с помощью NeuralProphet

Я следую руководству по квантильной регрессии в NeuralProphet, но при построении прогноза возникла проблема.

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)

Я получаю ошибку ниже. Я не нашел параметра, упомянутого в этих функциях выше (я использую версию 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.