tests/testthat/_snaps/probcurve-pr_curve.md

In yardstick: Tidy Characterizations of Model Performance

na_rm = FALSE errors if missing values are present

Code
  pr_curve_vec(df$truth, df$Class1, na_rm = FALSE)
Condition
  Error in `pr_curve_vec()`:
  x Missing values were detected and `na_ra = FALSE`.
  i Not able to perform calculations.

errors with class_pred input

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

na_rm argument check

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

PR - zero row data frame works

Code
  out <- pr_curve(df, y, x)
Condition
  Warning:
  There are 0 event cases in `truth`, results will be meaningless.

yardstick documentation built on April 8, 2026, 1:06 a.m.