Class TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry (3.0.0)

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

Metrics for a single confidence threshold.

Inheritance

Object > TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry

Implements

IMessage<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IEquatable<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IDeepCloneable<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

ConfidenceMetricsEntry()

public ConfidenceMetricsEntry()

ConfidenceMetricsEntry(TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry)

public ConfidenceMetricsEntry(TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry other)

Parameter
Name	Description
`other`	`TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry`

Properties

ConfidenceThreshold

public float ConfidenceThreshold { get; set; }

Output only. The confidence threshold value used to compute the metrics. Only annotations with score of at least this threshold are considered to be ones the model would return.

Property Value
Type	Description
`Single`

F1Score

public float F1Score { get; set; }

Output only. The harmonic mean of recall and precision.

Property Value
Type	Description
`Single`

Precision

public float Precision { get; set; }

Output only. Precision under the given confidence threshold.

Property Value
Type	Description
`Single`

Recall

public float Recall { get; set; }

Output only. Recall under the given confidence threshold.

Property Value
Type	Description
`Single`