tests/testthat/_snaps/tf.md

In tidymodels/textrecipes: Extra 'Recipes' for Text Processing

check_name() is used

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

bad args

Code
  prep(step_tf(recipe(~., data = mtcars), weight_scheme = "wrong"))
Condition
  Error in `step_tf()`:
  Caused by error in `prep()`:
  ! `weight_scheme` must be one of "binary", "raw count", "term frequency", "log normalization", or "double normalization", not "wrong".

Code
  prep(step_tf(recipe(~., data = mtcars), weight = "wrong"))
Condition
  Error in `step_tf()`:
  Caused by error in `prep()`:
  ! `weight` must be a number, not the string "wrong".

Code
  prep(step_tf(recipe(~., data = mtcars), vocabulary = 1:10))
Condition
  Error in `step_tf()`:
  Caused by error in `prep()`:
  ! `vocabulary` must be a character vector or `NULL`, not an integer vector.

Code
  prep(step_tf(recipe(~., data = mtcars), prefix = NULL))
Condition
  Error in `step_tf()`:
  Caused by error in `prep()`:
  ! `prefix` must be a single string, not `NULL`.

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

Code
  bake(trained, new_data = tokenized_test_data[, -1])
Condition
  Error in `step_tf()`:
  ! The following required column is missing from `new_data`: text.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Term frequency with: <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 
  * Term frequency with: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_tf()` 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: 1

  -- Operations 
  * Tokenization for: text
  * Term frequency with: text

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 4 data points and no incomplete rows.

  -- Operations 
  * Tokenization for: text | Trained
  * Term frequency with: text | Trained

tidymodels/textrecipes documentation built on June 12, 2025, 7:24 p.m.