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

svmsmote() errors when the minority class is too small for k

Code
  svmsmote_impl(df, var = "class", k = 5)
Condition
  Error:
  ! The minority class "min" does not have enough observations to perform SVMSMOTE.
  i 3 observations were found, but 6 are needed.

bad distance arg errors for svmsmote

Code
  svmsmote(circle_numeric, var = "class", distance = "minkowski")
Condition
  Error in `svmsmote()`:
  ! `distance` must be one of "euclidean", "cosine", "mahalanobis", "manhattan", "chebyshev", "squared_chord", "matusita", "hellinger", "bhattacharyya", "canberra", "soergel", "lorentzian", "jeffreys", "topsoe", "jensen-shannon", "jensen_difference", "taneja", or "kumar-johnson", not "minkowski".