PrCurve(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Attributes
Name | Description |
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 > PrCurveClasses
ConfidenceMetricsEntry
ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)