cluster_centroids.md
In themis: Extra Recipes Steps for Dealing with Unbalanced Data

bad data

Code
  prep(step_cluster_centroids(rec, x))
Condition
  Error in `step_cluster_centroids()`:
  Caused by error in `prep()`:
  ! `x` should be a factor variable.

Code
  prep(step_cluster_centroids(rec, class, id))
Condition
  Error in `step_cluster_centroids()`:
  Caused by error in `prep()`:
  ! The selector should select at most a single variable.

case weights error for soft voting

Code
  bake(prep(step_cluster_centroids(recipe(class ~ x + y + wts, data = df_wts),
  class)), new_data = NULL)
Condition
  Error in `step_cluster_centroids()`:
  Caused by error in `bake()`:
  ! This step does not support case weights.
  i The case weights column `wts` must be removed before this step.

unused outcome levels are skipped with a warning

Code
  res <- bake(prep(step_cluster_centroids(recipe(class ~ x + y, data = circle_example),
  class)), new_data = NULL)
Condition
  Warning in `prep()`:
  Unused factor level "unused" in `class` was dropped.
  i  Level with zero observations is skipped when computing sampling targets.

bad args

Code
  prep(step_cluster_centroids(recipe(~., data = mtcars), under_ratio = "yes"))
Condition
  Error in `step_cluster_centroids()`:
  Caused by error in `prep()`:
  ! `under_ratio` must be a number, not the string "yes".

Code
  step_cluster_centroids(recipe(~., data = mtcars), voting = "medium")
Condition
  Error in `step_cluster_centroids()`:
  ! `voting` must be one of "soft" or "hard", not "medium".

Code
  step_cluster_centroids(recipe(~., data = mtcars), seed = TRUE)
Condition
  Error in `step_cluster_centroids()`:
  ! `seed` must be a whole number, not `TRUE`.

step_cluster_centroids() checks `under_ratio` names when prepped (#323)

Code
  prep(step_cluster_centroids(recipe(class ~ ., data = df), class, under_ratio = c(
    a = 1, potato = 1)))
Condition
  Error in `step_cluster_centroids()`:
  Caused by error in `prep()`:
  ! `under_ratio` names must be levels of the outcome.
  x Unknown name: "potato".
  i Available levels: "a", "b", and "c".

bake method errors when needed non-standard role columns are missing

Code
  bake(trained, new_data = circle_example[, -3])
Condition
  Error in `step_cluster_centroids()`:
  ! The following required column is missing from `new_data`: class.

empty printing

Code
  rec
Message

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

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

  -- Operations 
  * ClusterCentroids based 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 
  * ClusterCentroids based on: <none> | Trained

printing

Code
  print(rec)
Message

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

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

  -- Operations 
  * ClusterCentroids based on: class

Code
  prep(rec)
Message

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

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

  -- Training information 
  Training data contained 400 data points and no incomplete rows.

  -- Operations 
  * ClusterCentroids based on: class | Trained