GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1PrCurve (google_api_data_labeling v0.2.1) View Source
Attributes
-
annotationSpec
(type:GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1AnnotationSpec.t
, default:nil
) - 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. -
areaUnderCurve
(type:number()
, default:nil
) - Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve. -
confidenceMetricsEntries
(type:list(GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry.t)
, default:nil
) - Entries that make up the precision-recall graph. Each entry is a "point" on the graph drawn for a differentconfidence_threshold
. -
meanAveragePrecision
(type:number()
, default:nil
) - Mean average prcision of this curve.
Link to this section Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Link to this section Types
Specs
t() :: %GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1PrCurve{ annotationSpec: GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1AnnotationSpec.t(), areaUnderCurve: number(), confidenceMetricsEntries: [ GoogleApi.DataLabeling.V1beta1.Model.GoogleCloudDatalabelingV1beta1ConfidenceMetricsEntry.t() ], meanAveragePrecision: number() }
Link to this section Functions
Specs
Unwrap a decoded JSON object into its complex fields.