tests/testthat/_snaps/other.md

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

'other' already in use

Code
  prep(others, training = sacr_tr_chr, strings_as_factors = FALSE)
Condition
  Error in `step_other()`:
  Caused by error in `prep()`:
  ! The level other is already a factor level that will be retained. Please choose a different value.

if the threshold argument is greather than one then it should be an integer(ish)

Code
  rec %>% step_other(city, zip, threshold = 3.14) %>% prep()
Condition
  Error in `step_other()`:
  Caused by error in `prep()`:
  ! `threshold` must be a whole number, not the number 3.14.

bad values of threshold are treated correctly

Code
  rec %>% step_other(city, zip, threshold = letters) %>% prep()
Condition
  Error in `step_other()`:
  Caused by error in `prep()`:
  ! `threshold` should be a single numeric value a character vector

othering with case weights

Code
  others
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 732 data points and no incomplete rows.

  -- Operations 
  * Collapsing factor levels for: city | Trained, weighted

Code
  others
Message

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

  -- Inputs 
  Number of variables by role
  predictor:    1
  case_weights: 1

  -- Training information 
  Training data contained 732 data points and no incomplete rows.

  -- Operations 
  * Collapsing factor levels for: city | Trained, ignored weights

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

Code
  bake(others, new_data = sacr_te[, 3:9])
Condition
  Error in `step_other()`:
  ! The following required columns are missing from `new_data`: city and zip.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Collapsing factor levels 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 
  * Collapsing factor levels for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 2

  -- Operations 
  * Collapsing factor levels for: city and zip

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 2

  -- Training information 
  Training data contained 732 data points and no incomplete rows.

  -- Operations 
  * Collapsing factor levels for: city and zip | Trained

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