Developer function for summarizing new metrics

numeric_metric_summarizer(), class_metric_summarizer(), prob_metric_summarizer(), curve_metric_summarizer(), dynamic_survival_metric_summarizer(), and static_survival_metric_summarizer() are useful alongside check_metric and yardstick_remove_missing for implementing new custom metrics. These functions call the metric function inside dplyr::summarise() or dplyr::reframe() for curve_metric_summarizer(). See Custom performance metrics for more information.

Usage

numeric_metric_summarizer(
  name,
  fn,
  data,
  truth,
  estimate,
  ...,
  na_rm = TRUE,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

class_metric_summarizer(
  name,
  fn,
  data,
  truth,
  estimate,
  ...,
  estimator = NULL,
  na_rm = TRUE,
  event_level = NULL,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

prob_metric_summarizer(
  name,
  fn,
  data,
  truth,
  ...,
  estimator = NULL,
  na_rm = TRUE,
  event_level = NULL,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

ordered_prob_metric_summarizer(
  name,
  fn,
  data,
  truth,
  ...,
  estimator = NULL,
  na_rm = TRUE,
  event_level = NULL,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

curve_metric_summarizer(
  name,
  fn,
  data,
  truth,
  ...,
  estimator = NULL,
  na_rm = TRUE,
  event_level = NULL,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

dynamic_survival_metric_summarizer(
  name,
  fn,
  data,
  truth,
  ...,
  na_rm = TRUE,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

static_survival_metric_summarizer(
  name,
  fn,
  data,
  truth,
  estimate,
  ...,
  na_rm = TRUE,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

curve_survival_metric_summarizer(
  name,
  fn,
  data,
  truth,
  ...,
  na_rm = TRUE,
  case_weights = NULL,
  fn_options = list(),
  error_call = caller_env()
)

Arguments

name: A single character representing the name of the metric to use in the tibble output. This will be modified to include the type of averaging if appropriate.
fn: The vector version of your custom metric function. It generally takes truth, estimate, na_rm, and any other extra arguments needed to calculate the metric.
data: The data frame with truth and estimate columns passed in from the data frame version of your metric function that called numeric_metric_summarizer(), class_metric_summarizer(), prob_metric_summarizer(), curve_metric_summarizer(), dynamic_survival_metric_summarizer(), or static_survival_metric_summarizer().
truth: The unquoted column name corresponding to the truth column.
estimate: Generally, the unquoted column name corresponding to the estimate column. For metrics that take multiple columns through ... like class probability metrics, this is a result of dots_to_estimate().
...: These dots are for future extensions and must be empty.
na_rm: A logical value indicating whether NA values should be stripped before the computation proceeds. The removal is executed in yardstick_remove_missing().
case_weights: For metrics supporting case weights, an unquoted column name corresponding to case weights can be passed here. If not NULL, the case weights will be passed on to fn as the named argument case_weights.
fn_options: A named list of metric specific options. These are spliced into the metric function call using !!! from rlang. The default results in nothing being spliced into the call.
error_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.
event_level: This can either be NULL to use the default event_level value of the fn or a single string of either "first" or "second" to pass along describing which level should be considered the "event".

Details

numeric_metric_summarizer(), class_metric_summarizer(), prob_metric_summarizer(), curve_metric_summarizer(), dynamic_survival_metric_summarizer(), and dynamic_survival_metric_summarizer() are generally called from the data frame version of your metric function. It knows how to call your metric over grouped data frames and returns a tibble consistent with other metrics.

Usage

Arguments

Details

See also