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

Deprecation warning

Code
  recipe(~., data = mtcars) %>% step_knnimpute()
Condition
  Error:
  ! `step_knnimpute()` was deprecated in recipes 0.1.16 and is now defunct.
  i Please use `step_impute_knn()` instead.

options

Code
  new_nn <- gower_topn(x = dat_2, y = dat_1, n = 2, eps = 2)$index
Condition
  Warning in `gower_work()`:
  skipping variable with zero or non-finite range.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * K-nearest neighbor imputation 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 
  * K-nearest neighbor imputation for: <none> | Trained

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Operations 
  * K-nearest neighbor imputation for: carbon, nitrogen

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 5

  -- Training information 
  Training data contained 536 data points and no incomplete rows.

  -- Operations 
  * K-nearest neighbor imputation for: carbon, nitrogen | Trained