tests/testthat/_snaps/regex.md

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

bad selector(s)

Code
  rec %>% step_regex(description, rows, pattern = "(rock|stony)")
Condition
  Error in `step_regex()`:
  x For this step, only a single selector can be used.
  i The following 2 selectors were used: `~description` and `~rows`.

Code
  prep(rec4, training = covers)
Condition
  Error in `step_regex()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be string, factor, or ordered.
  * 1 integer variable found: `rows`

check_name() is used

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

error on multiple selections

Code
  recipe(~., data = mtcars) %>% step_regex(vs, am)
Condition
  Error in `step_regex()`:
  x For this step, only a single selector can be used.
  i The following 2 selectors were used: `~vs` and `~am`.

checks for grepl arguments

Code
  recipe(~., data = mtcars) %>% step_regex(options = list(not_real_option = TRUE))
Condition
  Error in `step_regex()`:
  x The following elements of `options` are not allowed:
  * "not_real_option".
  i Valid options are: "ignore.case", "perl", "fixed", and "useBytes".

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

Code
  bake(rec, new_data = mt_tibble[, c(-1)])
Condition
  Error in `step_regex()`:
  ! The following required column is missing from `new_data`: make_model.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Regular expression dummy variable using: "."

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 
  * Regular expression dummy variable using: "." | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_regex()` 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: 3

  -- Operations 
  * Regular expression dummy variable using: "(rock|stony)"

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Training information 
  Training data contained 40 data points and no incomplete rows.

  -- Operations 
  * Regular expression dummy variable using: "(rock|stony)" | Trained

bad args

Code
  rec %>% step_regex(description, pattern = character(0)) %>% prep()
Condition
  Error in `step_regex()`:
  Caused by error in `prep()`:
  ! `pattern` must be a single string, not an empty character vector.

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