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Class PrCurve (1.13.2)
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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
MutableSequence[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 )
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Last updated 2025-08-28 UTC.
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[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-28 UTC."],[],[],null,["# Class PrCurve (1.13.2)\n\nVersion latestkeyboard_arrow_down\n\n- [1.13.2 (latest)](/python/docs/reference/datalabeling/latest/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.13.1](/python/docs/reference/datalabeling/1.13.1/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.12.0](/python/docs/reference/datalabeling/1.12.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.11.1](/python/docs/reference/datalabeling/1.11.1/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.10.5](/python/docs/reference/datalabeling/1.10.5/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.9.0](/python/docs/reference/datalabeling/1.9.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.8.3](/python/docs/reference/datalabeling/1.8.3/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.7.0](/python/docs/reference/datalabeling/1.7.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.6.3](/python/docs/reference/datalabeling/1.6.3/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.5.2](/python/docs/reference/datalabeling/1.5.2/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.4.0](/python/docs/reference/datalabeling/1.4.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.3.0](/python/docs/reference/datalabeling/1.3.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.2.4](/python/docs/reference/datalabeling/1.2.4/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.1.0](/python/docs/reference/datalabeling/1.1.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [1.0.0](/python/docs/reference/datalabeling/1.0.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [0.4.2](/python/docs/reference/datalabeling/0.4.2/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [0.3.0](/python/docs/reference/datalabeling/0.3.0/google.cloud.datalabeling_v1beta1.types.PrCurve)\n- [0.2.1](/python/docs/reference/datalabeling/0.2.1/google.cloud.datalabeling_v1beta1.types.PrCurve) \n\n PrCurve(mapping=None, *, ignore_unknown_fields=False, **kwargs)\n\nClasses\n-------\n\n### ConfidenceMetricsEntry\n\n ConfidenceMetricsEntry(mapping=None, *, ignore_unknown_fields=False, **kwargs)"]]