public sealed class 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.
Implements
IMessage<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IEquatable<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IDeepCloneable<TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry>, IBufferMessage, IMessageNamespace
Google.Cloud.AutoML.V1Assembly
Google.Cloud.AutoML.V1.dll
Constructors
ConfidenceMetricsEntry()
public ConfidenceMetricsEntry()
ConfidenceMetricsEntry(TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry)
public ConfidenceMetricsEntry(TextExtractionEvaluationMetrics.Types.ConfidenceMetricsEntry other)
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.
Type | Description |
Single |
F1Score
public float F1Score { get; set; }
Output only. The harmonic mean of recall and precision.
Type | Description |
Single |
Precision
public float Precision { get; set; }
Output only. Precision under the given confidence threshold.
Type | Description |
Single |
Recall
public float Recall { get; set; }
Output only. Recall under the given confidence threshold.
Type | Description |
Single |