template.md
In yardstick: Tidy Characterizations of Model Performance

numeric_metric_summarizer()'s errors when wrong things are passes

Code
  numeric_metric_summarizer(name = "rmse", fn = rmse_vec, data = mtcars, truth = not_a_real_column_name,
    estimate = disp)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `not_a_real_column_name` doesn't exist.

Code
  numeric_metric_summarizer(name = "rmse", fn = rmse_vec, data = mtcars, truth = mpg,
    estimate = not_a_real_column_name)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `not_a_real_column_name` doesn't exist.

Code
  numeric_metric_summarizer(name = "rmse", fn = rmse_vec, data = mtcars, truth = mpg,
    estimate = disp, obviouslywrong = TRUE)
Condition
  Error:
  ! `...` must be empty.
  x Problematic argument:
  * obviouslywrong = TRUE

class_metric_summarizer()'s errors when wrong things are passes

Code
  class_metric_summarizer(name = "accuracy", fn = accuracy_vec, data = three_class,
    truth = not_a_real_column_name, estimate = pred)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `not_a_real_column_name` doesn't exist.

Code
  class_metric_summarizer(name = "accuracy", fn = accuracy_vec, data = three_class,
    truth = obs, estimate = not_a_real_column_name)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `not_a_real_column_name` doesn't exist.

Code
  class_metric_summarizer(name = "accuracy", fn = accuracy_vec, data = three_class,
    truth = obs, estimate = pred, obviouslywrong = TRUE)
Condition
  Error:
  ! `...` must be empty.
  x Problematic argument:
  * obviouslywrong = TRUE

prob_metric_summarizer()'s errors when wrong things are passes

Code
  prob_metric_summarizer(name = "roc_auc", fn = roc_auc_vec, data = hpc_f1,
    truth = obs, c(HELLO, F, M, L))
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `HELLO` doesn't exist.

Code
  prob_metric_summarizer(name = "roc_auc", fn = roc_auc_vec, data = hpc_f1,
    truth = obviouslywrong, VF:L)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `obviouslywrong` doesn't exist.

Code
  prob_metric_summarizer(name = "roc_auc", fn = roc_auc_vec, data = hpc_f1,
    truth = obs, VF:L, obviouslywrong = TRUE)
Condition
  Error:
  ! Can't select columns with `TRUE`.
  x `TRUE` must be numeric or character, not `TRUE`.

Code
  prob_metric_summarizer(name = "roc_auc", fn = roc_auc_vec, data = hpc_f1,
    truth = obs, estimate = VF:L)
Condition
  Error:
  x This metric doesn't use the `estimate` argument.
  i Specify the columns without `estimate = `.

curve_metric_summarizer()'s na_rm argument work

Code
  curve_metric_summarizer(name = "roc_curve", fn = roc_curve_vec, data = hpc_f1_na,
    truth = obs, VF:L, na_rm = FALSE, case_weights = NULL)
Condition
  Error:
  x Missing values were detected and `na_ra = FALSE`.
  i Not able to perform calculations.

curve_metric_summarizer()'s errors when wrong things are passes

Code
  curve_metric_summarizer(name = "roc_curve", fn = roc_curve_vec, data = hpc_f1,
    truth = obs, c(HELLO, F, M, L))
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `HELLO` doesn't exist.

Code
  curve_metric_summarizer(name = "roc_curve", fn = roc_curve_vec, data = hpc_f1,
    truth = obviouslywrong, VF:L)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `obviouslywrong` doesn't exist.

Code
  curve_metric_summarizer(name = "roc_curve", fn = roc_curve_vec, data = hpc_f1,
    truth = obs, VF:L, obviouslywrong = TRUE)
Condition
  Error:
  ! Can't select columns with `TRUE`.
  x `TRUE` must be numeric or character, not `TRUE`.

Code
  curve_metric_summarizer(name = "roc_curve", fn = roc_curve_vec, data = hpc_f1,
    truth = obs, estimate = VF:L)
Condition
  Error:
  x This metric doesn't use the `estimate` argument.
  i Specify the columns without `estimate = `.

dynamic_survival_metric_summarizer()'s errors with bad input

Code
  dynamic_survival_metric_summarizer(name = "brier_survival", fn = brier_survival_vec,
    data = lung_surv, truth = .pred_time, .pred)
Condition
  Error:
  ! `truth` should be a Surv object, not a a double vector.

Code
  dynamic_survival_metric_summarizer(name = "brier_survival", fn = brier_survival_vec,
    data = lung_surv, truth = surv_obj, surv_obj)
Condition
  Error:
  ! `estimate` should be a list, not a a <Surv> object.

Code
  dynamic_survival_metric_summarizer(name = "brier_survival", fn = brier_survival_vec,
    data = lung_surv, truth = surv_obj, estimate = .pred)
Condition
  Error:
  x This metric doesn't use the `estimate` argument.
  i Specify the columns without `estimate = `.

static_survival_metric_summarizer()'s errors with bad input

Code
  static_survival_metric_summarizer(name = "concordance_survival", fn = concordance_survival_vec,
    data = lung_surv, truth = inst, estimate = .pred_time)
Condition
  Error:
  ! Can't select columns that don't exist.
  x Column `inst` doesn't exist.

Code
  static_survival_metric_summarizer(name = "concordance_survival", fn = concordance_survival_vec,
    data = lung_surv, truth = surv_obj, estimate = surv_obj)
Condition
  Error:
  ! `estimate` should be a numeric vector, not a numeric matrix.

Code
  static_survival_metric_summarizer(name = "concordance_survival", fn = concordance_survival_vec,
    data = lung_surv, truth = surv_obj, estimate = list)
Condition
  Error:
  ! `estimate` should be a numeric, not a list.

Code
  static_survival_metric_summarizer(name = "concordance_survival", fn = concordance_survival_vec,
    data = lung_surv, truth = surv_obj, estimate = .pred_time, obviouslywrong = TRUE)
Condition
  Error:
  ! `...` must be empty.
  x Problematic argument:
  * obviouslywrong = TRUE

curve_survival_metric_summarizer()'s na_rm argument works

Code
  curve_survival_metric_summarizer(name = "roc_curve_survival", fn = roc_curve_survival_vec,
    data = lung_surv, truth = surv_obj, .pred, na_rm = FALSE, case_weights = NULL)
Condition
  Error:
  x Missing values were detected and `na_ra = FALSE`.
  i Not able to perform calculations.

curve_survival_metric_summarizer()'s errors with bad input

Code
  curve_survival_metric_summarizer(name = "roc_curve_survival", fn = roc_curve_survival_vec,
    data = lung_surv, truth = .pred_time, .pred)
Condition
  Error:
  ! `truth` should be a Surv object, not a a double vector.

Code
  curve_survival_metric_summarizer(name = "roc_curve_survival", fn = roc_curve_survival_vec,
    data = lung_surv, truth = surv_obj, surv_obj)
Condition
  Error:
  ! `estimate` should be a list, not a a <Surv> object.

Code
  curve_survival_metric_summarizer(name = "roc_curve_survival", fn = roc_curve_survival_vec,
    data = lung_surv, truth = surv_obj, estimate = .pred)
Condition
  Error:
  x This metric doesn't use the `estimate` argument.
  i Specify the columns without `estimate = `.