Google AutoML v1 API - Class TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry (3.2.0) 

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

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

Metrics for a single confidence threshold.

Inheritance

object > TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry

Namespace

Google.Cloud.AutoML.V1

Assembly

Google.Cloud.AutoML.V1.dll

Constructors

ConfidenceMetricsEntry()

public ConfidenceMetricsEntry()

ConfidenceMetricsEntry(ConfidenceMetricsEntry)

public ConfidenceMetricsEntry(TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry other)
Parameter
NameDescription
otherTextExtractionEvaluationMetricsTypesConfidenceMetricsEntry

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
TypeDescription
float

F1Score

public float F1Score { get; set; }

Output only. The harmonic mean of recall and precision.

Property Value
TypeDescription
float

Precision

public float Precision { get; set; }

Output only. Precision under the given confidence threshold.

Property Value
TypeDescription
float

Recall

public float Recall { get; set; }

Output only. Recall under the given confidence threshold.

Property Value
TypeDescription
float