conf_mat.md
In yardstick: Tidy Characterizations of Model Performance

`...` is deprecated with a warning

Code
  conf_mat(two_class_example, truth, predicted, foo = 1)
Condition
  Warning:
  The `...` argument of `conf_mat()` was deprecated in yardstick 1.0.0.
  i This argument no longer has any effect, and is being ignored.
Output
            Truth
  Prediction Class1 Class2
      Class1    227     50
      Class2     31    192

Code
  conf_mat(hpc_cv, obs, pred, foo = 1)
Condition
  Warning:
  The `...` argument of `conf_mat()` was deprecated in yardstick 1.0.0.
  i This argument no longer has any effect, and is being ignored.
Output
  # A tibble: 10 x 2
     Resample conf_mat  
     <chr>    <list>    
   1 Fold01   <conf_mat>
   2 Fold02   <conf_mat>
   3 Fold03   <conf_mat>
   4 Fold04   <conf_mat>
   5 Fold05   <conf_mat>
   6 Fold06   <conf_mat>
   7 Fold07   <conf_mat>
   8 Fold08   <conf_mat>
   9 Fold09   <conf_mat>
  10 Fold10   <conf_mat>

Errors are thrown correctly

Code
  conf_mat(three_class, truth = obs_rev, estimate = pred, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  x `truth` and `estimate` levels must be equivalent.
  * `truth`: virginica, versicolor, and setosa.
  * `estimate`: setosa, versicolor, and virginica.

Code
  conf_mat(three_class, truth = onelevel, estimate = pred, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  x `truth` and `estimate` levels must be equivalent.
  * `truth`: 1.
  * `estimate`: setosa, versicolor, and virginica.

Code
  conf_mat(three_class, truth = onelevel, estimate = onelevel, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  ! `truth` must have at least 2 factor levels.

Errors are thrown correctly - grouped

Code
  conf_mat(three_class, truth = obs_rev, estimate = pred, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  x `truth` and `estimate` levels must be equivalent.
  * `truth`: virginica, versicolor, and setosa.
  * `estimate`: setosa, versicolor, and virginica.

Code
  conf_mat(three_class, truth = onelevel, estimate = pred, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  x `truth` and `estimate` levels must be equivalent.
  * `truth`: 1.
  * `estimate`: setosa, versicolor, and virginica.

Code
  conf_mat(three_class, truth = onelevel, estimate = onelevel, dnn = c("", ""))
Condition
  Error in `conf_mat()`:
  ! `truth` must have at least 2 factor levels.

conf_mat()'s errors when wrong things are passes

Code
  conf_mat(two_class_example, not_truth, predicted)
Condition
  Error in `conf_mat()`:
  ! Can't select columns that don't exist.
  x Column `not_truth` doesn't exist.

Code
  conf_mat(two_class_example, truth, not_predicted)
Condition
  Error in `conf_mat()`:
  ! Can't select columns that don't exist.
  x Column `not_predicted` doesn't exist.

Code
  conf_mat(dplyr::group_by(two_class_example, truth), truth = not_truth,
  estimate = predicted)
Condition
  Error in `conf_mat()`:
  ! Can't select columns that don't exist.
  x Column `not_truth` doesn't exist.

Code
  conf_mat(dplyr::group_by(two_class_example, truth), truth = truth, estimate = not_predicted)
Condition
  Error in `conf_mat()`:
  ! Can't select columns that don't exist.
  x Column `not_predicted` doesn't exist.