tests/testthat/_snaps/dummy_multi_choice.md

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

dummy variables with non-factor inputs

Code
  prep(dummy)
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be nominal or logical.
  * 11 double variables found: `mpg`, `cyl`, `disp`, `hp`, ...

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `Species_setosa`

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

Code
  bake(rec_trained, new_data = languages[, -1])
Condition
  Error in `step_dummy_multi_choice()`:
  ! The following required column is missing from `new_data`: lang_1.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Multi-choice dummy variables from: <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 
  * Multi-choice dummy variables from: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_dummy_multi_choice()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Operations 
  * Multi-choice dummy variables from: all_predictors()

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Training information 
  Training data contained 4 data points and 4 incomplete rows.

  -- Operations 
  * Multi-choice dummy variables from: lang_1, lang_2, lang_3, ... | Trained

bad args

Code
  dummy_multi_choice_rec <- recipe(~., data = languages) %>%
    step_dummy_multi_choice(starts_with("lang"), other = 2) %>% prep()
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `prep()`:
  ! `other` must be a single string or `NULL`, not the number 2.

Code
  dummy_multi_choice_rec <- recipe(~., data = languages) %>%
    step_dummy_multi_choice(starts_with("lang"), naming = NULL) %>% prep()
Condition
  Error in `step_dummy_multi_choice()`:
  Caused by error in `prep()`:
  ! `naming` must be a function, not `NULL`.

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