tests/testthat/_snaps/mutate.md

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

quasiquotation

Code
  prep(rec_1, training = iris %>% slice(1:75))
Condition
  Error in `step_mutate()`:
  Caused by error in `dplyr::mutate()`:
  i In argument: `new_var = Sepal.Width * const`.
  Caused by error:
  ! object 'const' not found

required_pkgs.step_mutate() works

Code
  recipe(~., data = mtcars) %>% step_mutate(new = 2, .pkgs = "not-a-package")
Message
  1 package (not-a-package) is needed for this step but is not installed.
  To install run: `install.packages("not-a-package")`

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 11

  -- Operations 
  * Variable mutation for: 2

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Variable mutation for: <none>

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Variable mutation for: <none> | Trained

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Operations 
  * Variable mutation for: 5

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Training information 
  Training data contained 150 data points and no incomplete rows.

  -- Operations 
  * Variable mutation for: ~5 | Trained

tidymodels/recipes documentation built on Jan. 25, 2025, 7:30 a.m.