refit.NNETAR: Refit a NNETAR model

In fable: Forecasting Models for Tidy Time Series

Refit a NNETAR model

Description

Applies a fitted NNETAR model to a new dataset.

Usage

## S3 method for class 'NNETAR'
refit(object, new_data, specials = NULL, reestimate = FALSE, ...)

Arguments

object	A model for which forecasts are required.
new_data	A tsibble containing the time points and exogenous regressors to produce forecasts for.
specials	(passed by fabletools::forecast.mdl_df()).
reestimate	If TRUE, the networks will be initialized with random starting weights to suit the new data. If FALSE, for every network the best individual set of weights found in the pre-estimation process is used as the starting weight vector.
...	Other arguments passed to methods

Value

A refitted model.

Examples

lung_deaths_male <- as_tsibble(mdeaths)
lung_deaths_female <- as_tsibble(fdeaths)

fit <- lung_deaths_male %>%
  model(NNETAR(value))

report(fit)

fit %>%
  refit(new_data = lung_deaths_female, reestimate = FALSE) %>%
  report()

fable documentation built on March 31, 2023, 8:13 p.m.