tests/testthat/_snaps/BoxCox.md

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

simple Box Cox

Code
  rec_trained <- prep(rec, training = ex_dat, verbose = FALSE)
Condition
  Warning:
  Non-positive values in selected variable.
  Warning:
  Fewer than `num_unique` values in selected variable.
  Warning:
  No Box-Cox transformation could be estimated for: `x2` and `x3`.

warnings

Code
  recipe(~., data = exp_dat) %>% step_BoxCox(x1) %>% prep()
Condition
  Warning:
  Non-positive values in selected variable.
  Warning:
  No Box-Cox transformation could be estimated for: `x1`.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

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

  -- Operations 
  * Box-Cox transformation on: <none> | Trained

Code
  recipe(~ mpg + disp, data = mtcars) %>% step_BoxCox(mpg, disp) %>% prep() %>%
    bake(new_data = tibble(mpg = -1, disp = -1))
Condition
  Warning:
  Applying Box-Cox transformation to non-positive data in column mpg.
  Warning:
  Applying Box-Cox transformation to non-positive data in column disp.
Output
  # A tibble: 1 x 2
      mpg  disp
    <dbl> <dbl>
  1   NaN   NaN

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

Code
  bake(rec_trained, new_data = ex_dat[, 1:2])
Condition
  Error in `step_BoxCox()`:
  ! The following required column is missing from `new_data`: x4.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Box-Cox transformation on: <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 
  * Box-Cox transformation on: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

  -- Operations 
  * Box-Cox transformation on: x1, x2, x3, x4

Code
  prep(rec)
Condition
  Warning:
  Non-positive values in selected variable.
  Warning:
  Fewer than `num_unique` values in selected variable.
  Warning:
  No Box-Cox transformation could be estimated for: `x2` and `x3`.
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 4

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

  -- Operations 
  * Box-Cox transformation on: x1 and x4 | Trained

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