Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics.
Model evaluation metrics for text extraction problems.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#au_prc
def au_prc() -> ::Float
Returns
- (::Float) — Output only. The Area under precision recall curve metric.
#au_prc=
def au_prc=(value) -> ::Float
Parameter
- value (::Float) — Output only. The Area under precision recall curve metric.
Returns
- (::Float) — Output only. The Area under precision recall curve metric.
#confidence_metrics_entries
def confidence_metrics_entries() -> ::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>
Returns
- (::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>) — Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.
#confidence_metrics_entries=
def confidence_metrics_entries=(value) -> ::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>
Parameter
- value (::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>) — Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.
Returns
- (::Array<::Google::Cloud::AutoML::V1::TextExtractionEvaluationMetrics::ConfidenceMetricsEntry>) — Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.