public sealed class TextExtractionEvaluationMetrics : IMessage<TextExtractionEvaluationMetrics>, IEquatable<TextExtractionEvaluationMetrics>, IDeepCloneable<TextExtractionEvaluationMetrics>, IBufferMessage, IMessageReference documentation and code samples for the Google AutoML v1 API class TextExtractionEvaluationMetrics.
Model evaluation metrics for text extraction problems.
Implements
IMessageTextExtractionEvaluationMetrics, IEquatableTextExtractionEvaluationMetrics, IDeepCloneableTextExtractionEvaluationMetrics, IBufferMessage, IMessageNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
TextExtractionEvaluationMetrics()
public TextExtractionEvaluationMetrics()TextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics)
public TextExtractionEvaluationMetrics(TextExtractionEvaluationMetrics other)| Parameter | |
|---|---|
| Name | Description |
other | TextExtractionEvaluationMetrics |
Properties
AuPrc
public float AuPrc { get; set; }Output only. The Area under precision recall curve metric.
| Property Value | |
|---|---|
| Type | Description |
float | |
ConfidenceMetricsEntries
public RepeatedField<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry> ConfidenceMetricsEntries { get; }Output only. Metrics that have confidence thresholds. Precision-recall curve can be derived from it.
| Property Value | |
|---|---|
| Type | Description |
RepeatedFieldTextExtractionEvaluationMetricsTypesConfidenceMetricsEntry | |