tests/testthat/_snaps/string2factor.md

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

bad args

Code
  rec %>% step_string2factor(w, n) %>% prep(ex_dat)
Condition
  Error in `step_string2factor()`:
  Caused by error in `prep()`:
  x All columns selected for the step should be string, factor, or ordered.
  * 1 integer variable found: `n`

Code
  rec %>% step_string2factor(w, x, ordered = "yes") %>% prep(ex_dat)
Condition
  Error in `step_string2factor()`:
  Caused by error in `prep()`:
  ! `ordered` must be `TRUE` or `FALSE`, not the string "yes".

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

Code
  bake(rec_trained, new_data = ex_dat[, -1])
Condition
  Error in `step_string2factor()`:
  ! The following required column is missing from `new_data`: w.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Factor variables 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 
  * Factor variables from: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Operations 
  * Factor variables from: w and x

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 5

  -- Training information 
  Training data contained 200 data points and no incomplete rows.

  -- Operations 
  * Factor variables from: w and x | Trained

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