Computes forecasts from historical cutoff points. Beginning from initial, makes cutoffs with a spacing of period up to (end - horizon).
cross_validation(model, horizon, units, period = NULL, initial = NULL)Fitted Prophet model.
Integer size of the horizon
String unit of the horizon, e.g., "days", "secs".
Integer amount of time between cutoff dates. Same units as horizon. If not provided, 0.5 * horizon is used.
Integer size of the first training period. If not provided, 3 * horizon is used. Same units as horizon.
A dataframe with the forecast, actual value, and cutoff date.
When period is equal to the time interval of the data, this is the technique described in https://robjhyndman.com/hyndsight/tscv/ .