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

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_kpca()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `kPC1`

No kPCA comps

Code
  pca_extract <- rec %>% step_kpca(X2, X3, X4, X5, X6, num_comp = 0, id = "") %>%
    prep()

Code
  pca_extract
Message

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

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

  -- Training information 
  Training data contained 100 data points and no incomplete rows.

  -- Operations 
  * Kernel PCA extraction with: X2, X3, X4, X5, X6 | Trained

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Kernel PCA extraction with: <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 
  * Kernel PCA extraction with: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_kpca()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * Kernel PCA extraction with: X2, X3, X4, X5, X6

Code
  prep(rec)
Message

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

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

  -- Training information 
  Training data contained 100 data points and no incomplete rows.

  -- Operations 
  * Kernel PCA extraction with: X2, X3, X4, X5, X6 | Trained