tests/testthat/_snaps/misc.md

In tidymodels/yardstick: Tidy Characterizations of Model Performance

validates input types

Code
  yardstick_table(1, x)
Condition
  Error in `yardstick_table()`:
  ! `truth` must be a factor, not a number.
  i This is an internal error that was detected in the yardstick package.
    Please report it at <https://github.com/tidymodels/yardstick/issues> with a reprex (<https://tidyverse.org/help/>) and the full backtrace.

Code
  yardstick_table(x, 2)
Condition
  Error in `yardstick_table()`:
  ! `estimate` must be a factor, not a number.
  i This is an internal error that was detected in the yardstick package.
    Please report it at <https://github.com/tidymodels/yardstick/issues> with a reprex (<https://tidyverse.org/help/>) and the full backtrace.

levels must be exactly the same

Code
  yardstick_table(x, y)
Condition
  Error in `yardstick_table()`:
  ! `truth` and `estimate` must have the same levels in the same order.
  i This is an internal error that was detected in the yardstick package.
    Please report it at <https://github.com/tidymodels/yardstick/issues> with a reprex (<https://tidyverse.org/help/>) and the full backtrace.

Code
  yardstick_table(x, z)
Condition
  Error in `yardstick_table()`:
  ! `truth` and `estimate` must have the same levels in the same order.
  i This is an internal error that was detected in the yardstick package.
    Please report it at <https://github.com/tidymodels/yardstick/issues> with a reprex (<https://tidyverse.org/help/>) and the full backtrace.

must have at least 2 levels

Code
  yardstick_table(x, x)
Condition
  Error in `yardstick_table()`:
  ! `truth` must have at least 2 factor levels.
  i This is an internal error that was detected in the yardstick package.
    Please report it at <https://github.com/tidymodels/yardstick/issues> with a reprex (<https://tidyverse.org/help/>) and the full backtrace.

works with constant inputs

Code
  (expect_warning(object = out <- yardstick_cor(c(1, 2), c(1, 1)), class = "yardstick_warning_correlation_undefined_constant_estimate")
  )
Output
  <warning/yardstick_warning_correlation_undefined_constant_estimate>
  Warning:
  A correlation computation is required, but `estimate` is constant and has 0 standard deviation, resulting in a divide by 0 error. `NA` will be returned.

Code
  (expect_warning(object = out <- yardstick_cor(c(1, 1), c(1, 2)), class = "yardstick_warning_correlation_undefined_constant_truth")
  )
Output
  <warning/yardstick_warning_correlation_undefined_constant_truth>
  Warning:
  A correlation computation is required, but `truth` is constant and has 0 standard deviation, resulting in a divide by 0 error. `NA` will be returned.

warns with input of size 1

Code
  (expect_warning(object = out <- yardstick_cor(1, 1), class = "yardstick_warning_correlation_undefined_size_zero_or_one")
  )
Output
  <warning/yardstick_warning_correlation_undefined_size_zero_or_one>
  Warning:
  A correlation computation is required, but the inputs are size zero or one and the standard deviation cannot be computed. `NA` will be returned.

warns with input of size 0

Code
  (expect_warning(object = out <- yardstick_cor(double(), double()), class = "yardstick_warning_correlation_undefined_size_zero_or_one")
  )
Output
  <warning/yardstick_warning_correlation_undefined_size_zero_or_one>
  Warning:
  A correlation computation is required, but the inputs are size zero or one and the standard deviation cannot be computed. `NA` will be returned.

x is validated

Code
  weighted_quantile("x", 1, 0.5)
Condition
  Error in `weighted_quantile()`:
  ! Can't convert `x` <character> to <double>.

weights is validated

Code
  weighted_quantile(1, "x", 0.5)
Condition
  Error in `weighted_quantile()`:
  ! Can't convert `weights` <character> to <double>.

x and weights must be the same size

Code
  weighted_quantile(1, 1:2, 0.5)
Condition
  Error in `weighted_quantile()`:
  ! `x` (1) and `weights` (2) must have the same size.

probabilities is validated

Code
  weighted_quantile(1, 1, "x")
Condition
  Error in `weighted_quantile()`:
  ! Can't convert `probabilities` <character> to <double>.

probabilities must be in [0, 1]

Code
  weighted_quantile(1, 1, -1)
Condition
  Error in `weighted_quantile()`:
  ! `probabilities` must be within `[0, 1]`.

Code
  weighted_quantile(1, 1, 2)
Condition
  Error in `weighted_quantile()`:
  ! `probabilities` must be within `[0, 1]`.

probabilities can't be missing

Code
  weighted_quantile(1, 1, NA)
Condition
  Error in `weighted_quantile()`:
  ! `probabilities` can't have missing values.

work with class_pred input

Code
  accuracy_vec(fct_truth, cp_estimate)
Condition
  Error in `as_factor_from_class_pred()`:
  ! A <class_pred> input was detected, but the probably package isn't installed. Install probably to be able to convert <class_pred> to <factor>.

tidymodels/yardstick documentation built on April 13, 2025, 3:56 p.m.