tests/testthat/_snaps/profile.md

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

bad values

Code
  sacr_rec %>% step_profile(all_predictors(), profile = sqft) %>% prep(data = Sacramento)
Condition
  Error in `step_profile()`:
  Caused by error in `prep()`:
  ! The profiled variable cannot be in the list of variables to be fixed. `sqft` was in both.

Code
  sacr_rec %>% step_profile(sqft, beds, price, profile = c(zip, beds)) %>% prep(
    data = Sacramento)
Condition
  Error in `step_profile()`:
  Caused by error in `prep()`:
  ! only 1 selection is allowed in `profile`, not 2.

Code
  sacr_rec %>% step_profile(city, profile = sqft, pct = -1) %>% prep(data = Sacramento)
Condition
  Error in `step_profile()`:
  ! `pct` must be a number between 0 and 1, not the number -1.

Code
  sacr_rec %>% step_profile(city, profile = sqft, grid = 1:3) %>% prep(data = Sacramento)
Condition
  Error in `step_profile()`:
  x `grid` should have 2 elements, not 3.
  i See ?step_profile (`?recipes::step_profile()`) for information.

Code
  sacr_rec %>% step_profile(city, profile = sqft, grid = list(pctl = 1, len = 2)) %>%
    prep(data = Sacramento)
Condition
  Error in `step_profile()`:
  ! `grid$pctl` must be `TRUE` or `FALSE`, not the number 1.

Code
  fixed(rep(c(TRUE, FALSE), each = 5))
Condition
  Error in `fixed()`:
  ! No method for determining a value to fix for objects of class: <logical>.

error on wrong grid names

Code
  recipe(~., data = mtcars) %>% step_profile(grid = list(pctl = TRUE, not_len = 100))
Condition
  Error in `step_profile()`:
  x `grid` should have two named elements len and pctl, not "not_len" and "pctl".
  i See ?step_profile (`?recipes::step_profile()`) for information.

recipes_argument_select() is used

Code
  recipe(mpg ~ ., data = mtcars) %>% step_profile(disp, profile = NULL) %>% prep()
Condition
  Error in `step_profile()`:
  Caused by error in `prep()`:
  ! `profile` must not be `NULL`.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Profiling data set for: mpg

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 
  * Profiling data set for: mpg | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 10

  -- Operations 
  * Profiling data set for: sqft

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 10

  -- Training information 
  Training data contained 20 data points and no incomplete rows.

  -- Operations 
  * Profiling data set for: sqft | Trained

tidymodels/recipes documentation built on April 17, 2025, 6:17 p.m.