glance.ESN: Summary of trained models during random search

In ahaeusser/echos: Echo State Networks for Time Series Modeling and Forecasting

Summary of trained models during random search

Description

Return summary statistics from trained ESN models during random search as tibble.

• model: Model identifier.

• loglik: Log-likelihood.

• nobs: Number of observations.

• df: Effective degrees of freedom.

• lambda: Regularization parameter.

• aic: Akaike Information Criterion.

• aicc: Corrected Akaike Information Criterion.

• bic: Bayesian Information Criterion.

• hqc: Hannan-Quinn Information Criterion.

• mse: Mean Squared Error.

• mae: Mean Absolute Error.

Usage

## S3 method for class 'ESN'
glance(x, ...)

Arguments

x	An object of class ESN.
...	Currently not in use.

Value

Summary statistics extracted from the object.

Examples

library(tsibble)
library(fable)
AirPassengers %>%
as_tsibble() %>%
model("ESN" = ESN(value)) %>%
glance()

ahaeusser/echos documentation built on June 2, 2025, 2:17 a.m.