documentation

neuralprophet/forecaster.py

@@ -2113,13 +2113,13 @@ def get_latest_forecast(
         --------
         We may get the df of the latest forecast:
             >>> forecast = m.predict(df)
-            >>> df_forecast = m.get_latest_forecast(forecast)
+            >>> df_forecast = m.get_latest_forecasts(forecast)
 
         Number of steps before latest forecast could be included:
-            >>> df_forecast = m.get_latest_forecast(forecast, include_previous_forecast=3)
+            >>> df_forecast = m.get_latest_forecasts(forecast, include_previous_forecast=3)
 
         Historical data could be included, however be aware that the df could be large:
-            >>> df_forecast = m.get_latest_forecast(forecast, include_history_data=True)
+            >>> df_forecast = m.get_latest_forecasts(forecast, include_history_data=True)
         """
         if self.max_lags == 0:
             raise ValueError("Use the standard plot function for models without lags.")