Class PrCurve (1.1.0)

PrCurve(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Attributes

NameDescription
annotation_spec google.cloud.datalabeling_v1beta1.types.AnnotationSpec
The annotation spec of the label for which the precision-recall curve calculated. If this field is empty, that means the precision-recall curve is an aggregate curve for all labels.
area_under_curve float
Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.
confidence_metrics_entries Sequence[google.cloud.datalabeling_v1beta1.types.PrCurve.ConfidenceMetricsEntry]
Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a different ``confidence_threshold``.
mean_average_precision float
Mean average prcision of this curve.

Inheritance

builtins.object > proto.message.Message > PrCurve

Classes

ConfidenceMetricsEntry

ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)