This message was deleted.

The

predict

and

forecast

method takes two arguments: forecasts the next

h

(for horizon) and`level`. *

level

(list of floats): this optional parameter is used for probabilistic forecasting. Set the

level

(or confidence percentile) of your prediction interval. For example,

level=[90]

means that the model expects the real value to be inside that interval 90% of the times. The forecast object here is a new data frame that includes a column with the name of the model and the y hat values, as well as columns for the uncertainty intervals.