Simulates future paths from a dataset using a fitted model. Innovations are
sampled by the model's assumed error distribution. If `bootstrap`

is `TRUE`

,
innovations will be sampled from the model's residuals. If `new_data`

contains the `.innov`

column, those values will be treated as innovations.

```
# S3 method for class 'NNETAR'
generate(x, new_data, specials = NULL, bootstrap = FALSE, ...)
```

## Arguments

- x
A fitted model.

- new_data
A tsibble containing the time points and exogenous regressors to produce forecasts for.

- specials
(passed by `fabletools::forecast.mdl_df()`

).

- bootstrap
If `TRUE`

, then forecast distributions are computed using simulation with resampled errors.

- ...
Other arguments passed to methods

## Examples

```
as_tsibble(airmiles) %>%
model(nn = NNETAR(box_cox(value, 0.15))) %>%
generate()
#> # A tsibble: 2 x 4 [1Y]
#> # Key: .model, .rep [1]
#> .model index .rep .sim
#> <chr> <dbl> <chr> <dbl>
#> 1 nn 1961 1 27743.
#> 2 nn 1962 1 23504.
```