Extract one workflow of a workflow-set run

extract_workflow() returns the workflow a set holds under one wflow_id, as it was given, with nothing fitted or finalized.

Usage

# S3 method for class 'nested_results_set'
extract_workflow(x, id, ...)

Arguments

x

A nested_results_set from nested_workflow_map().

id

The wflow_id of the workflow to return, one of x$wflow_id.

...

Not used, and must be empty.

Value

The untrained workflow. An id that names no workflow in the set gives an error.

See also

nested_workflow_map(), nested_final_fit()

Examples

data(mtcars)

rec <- recipes::recipe(mpg ~ ., data = mtcars) |>
  recipes::step_pca(recipes::all_predictors(), num_comp = tune::tune())
wf <- workflows::workflow(rec, parsnip::linear_reg())

set.seed(1)
folds <- nested_resamples(
  mtcars,
  outside = rsample::vfold_cv(v = 2),
  inside = rsample::vfold_cv(v = 2)
)
# One tuned workflow and one baseline, on the same nested design.
wset <- workflowsets::workflow_set(
  preproc = list(pca = rec, none = recipes::recipe(mpg ~ ., data = mtcars)),
  models = list(lm = parsnip::linear_reg())
)

set.seed(2)
res <- nested_workflow_map(wset, resamples = folds, grid = data.frame(num_comp = 1:2))
extract_workflow(res, "none_lm")
#> ══ Workflow ═══════════════════════════════════════════════════════════
#> Preprocessor: Recipe
#> Model: linear_reg()
#> 
#> ── Preprocessor ───────────────────────────────────────────────────────
#> 0 Recipe Steps
#> 
#> ── Model ──────────────────────────────────────────────────────────────
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: lm 
#>