classdist-shrunken.md
In recipes: Preprocessing and Feature Engineering Steps for Modeling

shrunken centroids

Code
  print(nsc_rec_half)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 2

  -- Operations 
  * Distance to shrunken centroids with: all_numeric_predictors()

Code
  print(nsc_rec_half_prep)
Message

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

  -- Inputs 
  Number of variables by role
  outcome:   1
  predictor: 2

  -- Training information 
  Training data contained 300 data points and no incomplete rows.

  -- Operations 
  * Distance to shrunken centroids with: x, y | Trained

Code
  print(tidy_spec)
Output
  # A tibble: 1 x 6
    terms                    value class type  threshold id                      
    <chr>                    <dbl> <chr> <chr>     <dbl> <chr>                   
  1 all_numeric_predictors()    NA <NA>  <NA>         NA classdist_shrunken_512IF

Code
  print(tidy_prep)
Output
  # A tibble: 18 x 6
     terms class type       value threshold id                      
     <chr> <chr> <chr>      <dbl>     <dbl> <chr>                   
   1 x     a     global    2.70         0.5 classdist_shrunken_512IF
   2 x     a     by_class  8.11         0.5 classdist_shrunken_512IF
   3 x     a     shrunken  1.37         0.5 classdist_shrunken_512IF
   4 x     b     global    2.70         0.5 classdist_shrunken_512IF
   5 x     b     by_class -0.0378       0.5 classdist_shrunken_512IF
   6 x     b     shrunken -0.0171       0.5 classdist_shrunken_512IF
   7 x     c     global    2.70         0.5 classdist_shrunken_512IF
   8 x     c     by_class  0.0297       0.5 classdist_shrunken_512IF
   9 x     c     shrunken  0            0.5 classdist_shrunken_512IF
  10 y     a     global   -2.68         0.5 classdist_shrunken_512IF
  11 y     a     by_class  0.0516       0.5 classdist_shrunken_512IF
  12 y     a     shrunken  0            0.5 classdist_shrunken_512IF
  13 y     b     global   -2.68         0.5 classdist_shrunken_512IF
  14 y     b     by_class -8.04         0.5 classdist_shrunken_512IF
  15 y     b     shrunken -1.24         0.5 classdist_shrunken_512IF
  16 y     c     global   -2.68         0.5 classdist_shrunken_512IF
  17 y     c     by_class -0.0445       0.5 classdist_shrunken_512IF
  18 y     c     shrunken  0            0.5 classdist_shrunken_512IF

Code
  recipe(class ~ x + y, data = nsc_test) %>% step_classdist_shrunken(
    all_numeric_predictors(), class = "class", threshold = -1) %>% prep()
Condition
  Error in `step_classdist_shrunken()`:
  Caused by error in `prep.step_classdist_shrunken()`:
  ! all(threshold >= 0) & all(threshold <= 1) & length(threshold) ==  .... is not TRUE

Code
  recipe(class ~ x + y, data = nsc_test) %>% step_classdist_shrunken(
    all_numeric_predictors(), class = "class", sd_offset = -1) %>% prep()
Condition
  Error in `step_classdist_shrunken()`:
  Caused by error in `prep.step_classdist_shrunken()`:
  ! all(sd_offset >= 0) & all(sd_offset <= 1) & length(sd_offset) ==  .... is not TRUE