- 3.7.0 (latest)
- 3.6.0
- 3.5.0
- 3.4.0
- 3.3.0
- 3.2.0
- 3.1.0
- 3.0.0
- 2.28.0
- 2.27.0
- 2.26.0
- 2.25.0
- 2.24.0
- 2.23.0
- 2.22.0
- 2.21.0
- 2.20.0
- 2.19.0
- 2.18.0
- 2.17.0
- 2.16.0
- 2.15.0
- 2.14.0
- 2.13.0
- 2.12.0
- 2.11.0
- 2.10.0
- 2.9.0
- 2.8.0
- 2.7.0
- 2.6.0
- 2.5.0
- 2.4.0
- 2.3.0
- 2.2.0
- 2.1.0
- 2.0.0
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.0
- 1.2.0
- 1.1.0
- 1.0.0
public sealed class ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies : IMessage<ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies>, IEquatable<ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies>, IDeepCloneable<ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies.
Historical Stats (and Anomalies) for a specific Feature.
Implements
IMessageModelMonitoringStatsAnomaliesTypesFeatureHistoricStatsAnomalies, IEquatableModelMonitoringStatsAnomaliesTypesFeatureHistoricStatsAnomalies, IDeepCloneableModelMonitoringStatsAnomaliesTypesFeatureHistoricStatsAnomalies, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
FeatureHistoricStatsAnomalies()
public FeatureHistoricStatsAnomalies()
FeatureHistoricStatsAnomalies(FeatureHistoricStatsAnomalies)
public FeatureHistoricStatsAnomalies(ModelMonitoringStatsAnomalies.Types.FeatureHistoricStatsAnomalies other)
Parameter | |
---|---|
Name | Description |
other |
ModelMonitoringStatsAnomaliesTypesFeatureHistoricStatsAnomalies |
Properties
FeatureDisplayName
public string FeatureDisplayName { get; set; }
Display Name of the Feature.
Property Value | |
---|---|
Type | Description |
string |
PredictionStats
public RepeatedField<FeatureStatsAnomaly> PredictionStats { get; }
A list of historical stats generated by different time window's Prediction Dataset.
Property Value | |
---|---|
Type | Description |
RepeatedFieldFeatureStatsAnomaly |
Threshold
public ThresholdConfig Threshold { get; set; }
Threshold for anomaly detection.
Property Value | |
---|---|
Type | Description |
ThresholdConfig |
TrainingStats
public FeatureStatsAnomaly TrainingStats { get; set; }
Stats calculated for the Training Dataset.
Property Value | |
---|---|
Type | Description |
FeatureStatsAnomaly |