Provide a detailed summary of the trained ESN model

Provide a detailed summary of the trained ESN model.

Usage

# S3 method for class 'ESN'
report(object, ...)

Arguments

object

An object of class ESN.

...

Currently not in use.

Value

Print detailed model summary.

Examples

library(tsibble)
library(fable)
AirPassengers %>%
as_tsibble() %>%
model("ESN" = ESN(value)) %>%
report()
#> Series: value 
#> Model: ESN({144, 57, 114}, {19.17, 0.0159}) 
#> 
#> --- Inputs -----------------------------------------------------
#> n_obs        = 144
#> n_diff       = 1
#> lags         = 1
#> 
#> --- Reservoir generation ---------------------------------------
#> n_states     = 57
#> alpha        = 1
#> rho          = 1
#> density      = 0.5
#> scale_inputs = [-0.5, 0.5]
#> scale_win    = [-0.5, 0.5]
#> scale_wres   = [-0.5, 0.5]
#> 
#> --- Model selection --------------------------------------------
#> n_models     = 114
#> df           = 19.17
#> lambda       = 0.0159