tests/testthat/_snaps/naomit.md

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

bake method errors when needed non-standard role columns are missing

Code
  bake(rec_trained, new_data = airquality[, -3])
Condition
  Error in `step_naomit()`:
  ! The following required column is missing from `new_data`: Wind.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Removing rows with NA values in: <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 
  * Removing rows with NA values in: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Operations 
  * Removing rows with NA values in: all_predictors()

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Training information 
  Training data contained 153 data points and 42 incomplete rows.

  -- Operations 
  * Removing rows with NA values in: Solar.R, Wind, Temp, Month, Day | Trained

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