logit.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

out of bounds logit trans

Code
  prep(rec, training = ex_dat, verbose = FALSE)
Condition
  Error in `step_logit()`:
  Caused by error in `binomial()$linkfun()`:
  ! Value -0.77772 out of range (0, 1)

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Logit 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 
  * Logit transformation on: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Operations 
  * Logit transformation on: x1

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

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

  -- Operations 
  * Logit transformation on: x1 | Trained