tests/testthat/_snaps/time.md

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

check_name() is used

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

errors on wrong values of features

Code
  recipe(~times, examples) %>% step_time(all_predictors(), features = "hourly") %>%
    prep()
Condition
  Error in `step_time()`:
  Caused by error in `prep()`:
  ! `features` must be one of "am", "hour", "hour12", "minute", "second", or "decimal_day", not "hourly".
  i Did you mean "hour12"?

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

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

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Time features 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 
  * Time features 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_time()` 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 
  * Time features from: all_predictors()

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 5 data points and no incomplete rows.

  -- Operations 
  * Time features from: times | Trained

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