Provide a detailed summary of the trained ESN model.
Usage
# S3 method for class 'esn'
summary(object, ...)
Examples
xdata <- as.numeric(AirPassengers)
xmodel <- train_esn(y = xdata)
summary(xmodel)
#>
#> --- 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