Forecast a trained ESN.
Usage
# S3 method for class 'ESN'
forecast(object, new_data, specials = NULL, xreg = NULL, ...)
Examples
library(tsibble)
library(fable)
AirPassengers %>%
as_tsibble() %>%
model("ESN" = ESN(value)) %>%
forecast(h = 18)
#> # A fable: 18 x 4 [1M]
#> # Key: .model [1]
#> .model index
#> <chr> <mth>
#> 1 ESN 1961 Jan
#> 2 ESN 1961 Feb
#> 3 ESN 1961 Mrz
#> 4 ESN 1961 Apr
#> 5 ESN 1961 Mai
#> 6 ESN 1961 Jun
#> 7 ESN 1961 Jul
#> 8 ESN 1961 Aug
#> 9 ESN 1961 Sep
#> 10 ESN 1961 Okt
#> 11 ESN 1961 Nov
#> 12 ESN 1961 Dez
#> 13 ESN 1962 Jan
#> 14 ESN 1962 Feb
#> 15 ESN 1962 Mrz
#> 16 ESN 1962 Apr
#> 17 ESN 1962 Mai
#> 18 ESN 1962 Jun
#> # ℹ 2 more variables: value <dist>, .mean <dbl>