Class PrCurve (1.2.4)

Version 1.2.4

• 1.10.3 (latest)
• 1.10.2
• 1.9.0
• 1.8.3
• 1.7.0
• 1.6.3
• 1.5.2
• 1.4.0
• 1.3.0
• 1.2.4
• 1.1.0
• 1.0.0
• 0.4.2
• 0.3.0
• 0.2.1

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.

Classes

ConfidenceMetricsEntry

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