tests/testthat/_snaps/bin2factor.md

bad options

Code
  prep(rec3, training = covers)
Condition
  Error in `step_bin2factor()`:
  Caused by error in `prep()`:
  ! All columns selected for the step should be double, integer, or logical.
Code
  rec %>% step_bin2factor(rocks, levels = letters[1:5])
Condition
  Error in `step_bin2factor()`:
  ! `levels` should be a two element character string
Code
  rec %>% step_bin2factor(rocks, levels = 1:2)
Condition
  Error in `step_bin2factor()`:
  ! `levels` should be a two element character string

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Dummy variable to factor conversion for: <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 
  * Dummy variable to factor conversion for: <none> | Trained

printing

Code
  print(rec2)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Operations 
  * Regular expression dummy variable using: "(rock|stony)"
  * Regular expression dummy variable using: "(rock|stony)"
  * Dummy variable to factor conversion for: rocks
Code
  prep(rec2)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 1

  -- Training information 
  Training data contained 40 data points and no incomplete rows.

  -- Operations 
  * Regular expression dummy variable using: "(rock|stony)" | Trained
  * Regular expression dummy variable using: "(rock|stony)" | Trained
  * Dummy variable to factor conversion for: rocks | Trained


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recipes documentation built on Aug. 26, 2023, 1:08 a.m.