Developer function for checking inputs in new metrics

check_numeric_metric(), check_class_metric(), and check_prob_metric() are useful alongside metric-summarizers for implementing new custom metrics. metric-summarizers call the metric function inside dplyr::summarise(). These functions perform checks on the inputs in accordance with the type of metric that is used.

Usage

check_numeric_metric(truth, estimate, case_weights, call = caller_env())

check_class_metric(
  truth,
  estimate,
  case_weights,
  estimator,
  call = caller_env()
)

check_prob_metric(
  truth,
  estimate,
  case_weights,
  estimator,
  call = caller_env()
)

check_dynamic_survival_metric(
  truth,
  estimate,
  case_weights,
  call = caller_env()
)

check_static_survival_metric(
  truth,
  estimate,
  case_weights,
  call = caller_env()
)

Arguments

truth

The realized vector of truth.

• For check_numeric_metric(), a numeric vector.

• For check_class_metric(), a factor.

• For check_prob_metric(), a factor.

• For check_dynamic_survival_metric(), a Surv object.

• For check_static_survival_metric(), a Surv object.

estimate

The realized estimate result.

• For check_numeric_metric(), a numeric vector.

• For check_class_metric(), a factor.

• For check_prob_metric(), a numeric vector for binary truth, a numeric matrix for multic-class truth.

• For check_dynamic_survival_metric(), list-column of data.frames.

• For check_static_survival_metric(), a numeric vector.

case_weights

The realized case weights, as a numeric vector. This must be the same length as truth.

call

The execution environment of a currently running function, e.g. caller_env(). The function will be mentioned in error messages as the source of the error. See the call argument of abort() for more information.

estimator

This can either be NULL for the default auto-selection of averaging ("binary" or "macro"), or a single character to pass along to the metric implementation describing the kind of averaging to use.

See also

metric-summarizers