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

No ISOmap

Code
  print(im_rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Training information 
  Training data contained 5 data points and no incomplete rows.

  -- Operations 
  * Isomap was not conducted for: x1, x2, x3 | Trained

ISOmap fails gracefully

Code
  recipe(Sepal.Length ~ ., data = iris) %>% step_bs(Sepal.Width, deg_free = 1,
    degree = 1) %>% step_bs(Sepal.Length, deg_free = 1, degree = 1) %>%
    step_other(Species, threshold = 1e-09) %>% step_isomap(all_numeric_predictors(),
  num_terms = 1, neighbors = 1) %>% prep()
Message
Condition
  Error in `step_isomap()`:
  Caused by error in `prep()`:
  ! `step_isomap` failed with error:
  Error : TridiagEigen: eigen decomposition failed

check_name() is used

Code
  prep(rec, training = dat)
Message
Condition
  Error in `step_isomap()`:
  Caused by error in `bake()`:
  ! Name collision occured. The following variable names already exists:
  i  Isomap1

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * Isomap approximation 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 
  * Isomap approximation with: <none> | Trained

keep_original_cols - can prep recipes with it missing

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

printing

Code
  print(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Operations 
  * Isomap approximation with: x1, x2, x3

Code
  prep(rec)
Message

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

  -- Inputs 
  Number of variables by role
  predictor: 3

  -- Training information 
  Training data contained 5 data points and no incomplete rows.

  -- Operations 
  * Isomap approximation with: x1, x2, x3 | Trained