Google AutoML v1 API - Class TextExtractionEvaluationMetrics (3.1.0)

public sealed class TextExtractionEvaluationMetrics : IMessage<TextExtractionEvaluationMetrics>, IEquatable<TextExtractionEvaluationMetrics>, IDeepCloneable<TextExtractionEvaluationMetrics>, IBufferMessage, IMessage

Reference documentation and code samples for the Google AutoML v1 API class TextExtractionEvaluationMetrics.

Model evaluation metrics for text extraction problems.

Inheritance

Object > TextExtractionEvaluationMetrics

Implements

IMessage<TextExtractionEvaluationMetrics>, IEquatable<TextExtractionEvaluationMetrics>, IDeepCloneable<TextExtractionEvaluationMetrics>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AutoML.V1

Assembly

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
`Single`

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
`RepeatedField<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>`