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Train an Echo State Network

Source: R/methods-fable.R
ESN.Rd

Train an Echo State Network (ESN) to a univariate time series. The function automatically manages data pre-processing, reservoir generation (i.e., internal states) and model estimation and selection. The function is a wrapper for train_esn() and intended to be used in combination with fabletools::model().

Usage

ESN(formula, ...)

Arguments

formula

Model specification (currently not in use).

...

Further arguments passed to train_esn().

Value

An object of class ESN.

Examples

library(tsibble)
#> 
#> Attaching package: 'tsibble'
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, union
library(fable)
AirPassengers %>%
as_tsibble() %>%
model("ESN" = ESN(value))
#> # A mable: 1 x 1
#>                               ESN
#>                           <model>
#> 1 <ESN({57, 1, 1}, {114, 16.68})>