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echos (version 1.0.2)

glance.ESN: 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 ESN
glance(x, ...)

Value

Summary statistics extracted from the object.

Arguments

x

An object of class mdl_df, containing an ESN model.

...

Currently not in use.

Examples

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

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