|View source on GitHub|
DerivedMetricComputation derives its result from other computations.
tfma.metrics.DerivedMetricComputation( keys: List[
tfma.metrics.MetricKey], result: Callable[[Dict[
tfma.metrics.MetricKey, Any]], Dict[
tfma.metrics.MetricKey, Any]] )
When creating derived metric computations it is recommended (but not required) that the underlying MetricComputations that they depend on are defined at the same time. This is to avoid having to pre-construct and pass around all the required dependencies in order to construct a derived metric. The evaluation pipeline is responsible for de-duplicating overlapping MetricComputations so that only one computation is actually run.
||List of metric keys associated with derived computation.|
||Function (called per slice) to compute the result using the results of other metric computations.|