probably.md
In yardstick: Tidy Characterizations of Model Performance

`class_pred` can be converted to `factor` when computing metrics

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

`class_pred` errors when passed to `conf_mat()`

Code
  conf_mat(cp_hpc_cv, obs, pred)
Condition
  Error in `conf_mat_impl()`:
  ! `truth` should not a <class_pred> object.

Code
  conf_mat(dplyr::group_by(cp_hpc_cv, Resample), obs, pred)
Condition
  Error in `conf_mat_impl()`:
  ! `truth` should not a <class_pred> object.

`class_pred` errors when passed to `metrics()`

Code
  metrics(cp_df, truth, estimate, class1)
Condition
  Error in `metric_set()`:
  ! Failed to compute `accuracy()`.
  Caused by error:
  ! `truth` should not a <class_pred> object.