class-miss_rate.md
In yardstick: Tidy Characterizations of Model Performance

work with class_pred input

Code
  miss_rate_vec(cp_truth, cp_estimate)
Condition
  Error in `miss_rate_vec()`:
  ! `truth` should not a <class_pred> object.

na_rm argument check

Code
  miss_rate_vec(1, 1, na_rm = "yes")
Condition
  Error in `miss_rate_vec()`:
  ! `na_rm` must be `TRUE` or `FALSE`, not the string "yes".

Binary returns `NA` with a warning when results are undefined (#98)

Code
  out <- miss_rate_vec(truth, estimate)
Condition
  Warning:
  While computing binary `miss_rate()`, no true events were detected (i.e. `true_positive + false_negative = 0`).
  Miss rate is undefined in this case, and `NA` will be returned.
  Note that 1 predicted event(s) actually occurred for the problematic event level, a

Multiclass returns averaged value with warning when results undefined (#98)

Code
  out <- miss_rate_vec(truth, estimate)
Condition
  Warning:
  While computing multiclass `miss_rate()`, some levels had no true events (i.e. `true_positive + false_negative = 0`).
  Miss rate is undefined in this case, and those levels will be removed from the averaged result.
  Note that the following number of predicted events actually occurred for each problematic event level:
  'b': 0, 'c': 1