AI Platform Data Labeling Service V1beta1 API - Class Google::Cloud::DataLabeling::V1beta1::PrCurve (v0.8.1)

Reference documentation and code samples for the AI Platform Data Labeling Service V1beta1 API class Google::Cloud::DataLabeling::V1beta1::PrCurve.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#annotation_spec

def annotation_spec() -> ::Google::Cloud::DataLabeling::V1beta1::AnnotationSpec
Returns

#annotation_spec=

def annotation_spec=(value) -> ::Google::Cloud::DataLabeling::V1beta1::AnnotationSpec
Parameter
Returns

#area_under_curve

def area_under_curve() -> ::Float
Returns
  • (::Float) — Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.

#area_under_curve=

def area_under_curve=(value) -> ::Float
Parameter
  • value (::Float) — Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.
Returns
  • (::Float) — Area under the precision-recall curve. Not to be confused with area under a receiver operating characteristic (ROC) curve.

#confidence_metrics_entries

def confidence_metrics_entries() -> ::Array<::Google::Cloud::DataLabeling::V1beta1::PrCurve::ConfidenceMetricsEntry>
Returns

#confidence_metrics_entries=

def confidence_metrics_entries=(value) -> ::Array<::Google::Cloud::DataLabeling::V1beta1::PrCurve::ConfidenceMetricsEntry>
Parameter
Returns

#mean_average_precision

def mean_average_precision() -> ::Float
Returns
  • (::Float) — Mean average prcision of this curve.

#mean_average_precision=

def mean_average_precision=(value) -> ::Float
Parameter
  • value (::Float) — Mean average prcision of this curve.
Returns
  • (::Float) — Mean average prcision of this curve.