Model specification of a trained ESN model

Provides a compact overview of the model specification in the format ESN({n_states, alpha, rho}, {n_models, df}).

Usage

# S3 method for class 'ESN'
model_sum(x)

Arguments

x

An object of class mdl_df, containing an ESN model.

Value

Model summary extracted from the object.

See also

Other tidy functions: ESN(), filter_esn(), fitted.ESN(), forecast.ESN(), glance.ESN(), report.ESN(), reservoir(), residuals.ESN(), tidy.ESN()

Examples

library(tsibble)
library(fable)
AirPassengers %>%
as_tsibble() %>%
model("ESN" = ESN(value))
#> # A mable: 1 x 1
#>                               ESN
#>                           <model>
#> 1 <ESN({57, 1, 1}, {114, 16.68})>