tests/testthat/_snaps/mutate_at.md

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

no input

Code
  iris_rec %>% step_mutate_at() %>% prep(training = iris) %>% bake(new_data = NULL,
    composition = "data.frame")
Condition
  Error in `step_mutate_at()`:
  ! Argument `fn` must be specified.

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: contains("Sepal")

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: Sepal.Length and Sepal.Width | Trained

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