tests/testthat/_snaps/inverse.md

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

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

Code
  bake(rec_trained, new_data = ex_dat[, 1:3])
Condition
  Error in `step_inverse()`:
  ! 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 
  * Inverse 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 
  * Inverse transformation on: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Operations 
  * Inverse transformation on: x1, x2, x3, x4

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 5

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

  -- Operations 
  * Inverse transformation on: x1, x2, x3, x4 | Trained

bad args

Code
  recipe(~., data = ex_dat) %>% step_inverse(x1, x2, x3, x4, offset = function(x)
    x / 3) %>% prep()
Condition
  Error in `step_inverse()`:
  Caused by error in `prep()`:
  ! `offset` must be a number, not a function.

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