tests/testthat/_snaps/fit.md

In workflows: Modeling Workflows

missing data argument has a nice error

Code
  fit(workflow)
Condition
  Error in `fit()`:
  ! `data` must be provided to fit a workflow.

invalid control argument has a nice error

Code
  fit(workflow, mtcars, control = control)
Condition
  Error in `fit()`:
  ! `control` must be a workflows control object created by `control_workflow()`.

cannot fit without a pre stage

Code
  fit(workflow, mtcars)
Condition
  Error in `.fit_pre()`:
  ! The workflow must have a formula, recipe, or variables preprocessor.
  i Provide one with `add_formula()`, `add_recipe()`, or `add_variables()`.

cannot fit without a fit stage

Code
  fit(workflow, mtcars)
Condition
  Error in `.fit_pre()`:
  ! The workflow must have a model.
  i Provide one with `add_model()`.

can predict() from workflow fit from individual pieces

Code
  predict(workflow_model, mtcars)
Condition
  Error in `predict()`:
  ! Can't predict on an untrained workflow.
  i Do you need to call `fit()`?

workflows documentation built on March 7, 2023, 7:50 p.m.