public sealed class ThresholdConfig : IMessage<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IEquatable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IDeepCloneable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IBufferMessage, IMessage
The config for Featurestore Monitoring threshold.
Implements
IMessage<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IEquatable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IDeepCloneable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
ThresholdConfig()
public ThresholdConfig()
ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig)
public ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig other)
Parameter | |
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Name | Description |
other | FeaturestoreMonitoringConfig.Types.ThresholdConfig |
Properties
ThresholdCase
public FeaturestoreMonitoringConfig.Types.ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }
Property Value | |
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Type | Description |
FeaturestoreMonitoringConfig.Types.ThresholdConfig.ThresholdOneofCase |
Value
public double Value { get; set; }
Specify a threshold value that can trigger the alert.
- For categorical feature, the distribution distance is calculated by L-inifinity norm.
- For numerical feature, the distribution distance is calculated by Jensen–Shannon divergence. Each feature must have a non-zero threshold if they need to be monitored. Otherwise no alert will be triggered for that feature.
Property Value | |
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Type | Description |
Double |