tests/testthat/_snaps/aaa-metrics.md

In yardstick: Tidy Characterizations of Model Performance

bad args

Code
  metrics(two_class_example, truth, Class1)
Condition
  Error in `metric_set()`:
  ! Failed to compute `accuracy()`.
  Caused by error:
  ! `estimate` should be a factor, not a a double vector.

Code
  metrics(two_class_example, Class1, truth)
Condition
  Error in `metric_set()`:
  ! Failed to compute `rmse()`.
  Caused by error:
  ! `estimate` should be a numeric, not a <factor> object.

Code
  metrics(three_class, "obs", "pred", setosa, versicolor)
Condition
  Error in `mn_log_loss()`:
  ! The number of levels in `truth` (3) must match the number of columns supplied in `...` (2).

metrics() - options is deprecated

Code
  out <- metrics(two_class_example, truth, predicted, Class1, options = 1)
Condition
  Warning:
  The `options` argument of `metrics()` was deprecated in yardstick 1.0.0.
  i This argument no longer has any effect, and is being ignored. Use the pROC package directly if you need these features.

numeric metric sets

Code
  metric_set(rmse, "x")
Condition
  Error in `metric_set()`:
  ! All inputs to `metric_set()` must be functions. These inputs are not: 2.

mixing bad metric sets

Code
  metric_set(rmse, accuracy)
Condition
  Error in `validate_function_class()`:
  x The combination of metric functions must be:
  * only numeric metrics.
  * a mix of class metrics and class probability metrics.
  * a mix of dynamic and static survival metrics.
  i The following metric function types are being mixed:
  - numeric (rmse)
  - class (accuracy)

print metric_set works

Code
  metric_set(rmse, rsq, ccc)
Output
  A metric set, consisting of:
  - `rmse()`, a numeric metric | direction: minimize
  - `rsq()`, a numeric metric  | direction: maximize
  - `ccc()`, a numeric metric  | direction: maximize

metric_set() errors contain env name for unknown functions (#128)

Code
  metric_set(accuracy, foobar, sens, rlang::abort)
Condition
  Error in `validate_function_class()`:
  x The combination of metric functions must be:
  * only numeric metrics.
  * a mix of class metrics and class probability metrics.
  * a mix of dynamic and static survival metrics.
  i The following metric function types are being mixed:
  - class (accuracy, sens)
  - other (foobar <test>, abort <namespace:rlang>)

Code
  metric_set(accuracy, foobar, sens, rlang::abort)
Condition
  Error in `validate_function_class()`:
  x The combination of metric functions must be:
  * only numeric metrics.
  * a mix of class metrics and class probability metrics.
  * a mix of dynamic and static survival metrics.
  i The following metric function types are being mixed:
  - class (accuracy, sens)
  - other (foobar <test>, abort <namespace:rlang>)

metric_set() gives an informative error for a single non-metric function (#181)

Code
  metric_set(foobar)
Condition
  Error in `validate_function_class()`:
  x The combination of metric functions must be:
  * only numeric metrics.
  * a mix of class metrics and class probability metrics.
  * a mix of dynamic and static survival metrics.
  i The following metric function types are being mixed:
  - other (foobar <test>)

errors informatively for unevaluated metric factories

Code
  metric_set(demographic_parity)
Condition
  Error in `metric_set()`:
  ! The input `demographic_parity` is a groupwise metric (`?yardstick::new_groupwise_metric()`) factory and must be passed a data-column before addition to a metric set.
  i Did you mean to type e.g. `demographic_parity(col_name)`?

Code
  metric_set(demographic_parity, roc_auc)
Condition
  Error in `metric_set()`:
  ! The input `demographic_parity` is a groupwise metric (`?yardstick::new_groupwise_metric()`) factory and must be passed a data-column before addition to a metric set.
  i Did you mean to type e.g. `demographic_parity(col_name)`?

Code
  metric_set(demographic_parity, equal_opportunity)
Condition
  Error in `metric_set()`:
  ! The inputs `demographic_parity` and `equal_opportunity` are groupwise metric (`?yardstick::new_groupwise_metric()`) factories and must be passed a data-column before addition to a metric set.
  i Did you mean to type e.g. `demographic_parity(col_name)`?

Code
  metric_set(demographic_parity, equal_opportunity, roc_auc)
Condition
  Error in `metric_set()`:
  ! The inputs `demographic_parity` and `equal_opportunity` are groupwise metric (`?yardstick::new_groupwise_metric()`) factories and must be passed a data-column before addition to a metric set.
  i Did you mean to type e.g. `demographic_parity(col_name)`?

propagates 'caused by' error message when specifying the wrong column name

Code
  set(two_class_example, truth, Class1, estimate = predicted, case_weights = weight)
Condition
  Error in `metric_set()`:
  ! Failed to compute `accuracy()`.
  Caused by error:
  ! Can't select columns that don't exist.
  x Column `weight` doesn't exist.

yardstick documentation built on June 22, 2024, 7:07 p.m.