public sealed class FeaturestoreMonitoringConfig.Types.ThresholdConfig : IMessage<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IEquatable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IDeepCloneable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1beta1 API class FeaturestoreMonitoringConfig.Types.ThresholdConfig.
The config for Featurestore Monitoring threshold.
Implements
IMessageFeaturestoreMonitoringConfigTypesThresholdConfig, IEquatableFeaturestoreMonitoringConfigTypesThresholdConfig, IDeepCloneableFeaturestoreMonitoringConfigTypesThresholdConfig, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
ThresholdConfig()
public ThresholdConfig()
ThresholdConfig(ThresholdConfig)
public ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig other)
Parameter | |
---|---|
Name | Description |
other |
FeaturestoreMonitoringConfigTypesThresholdConfig |
Properties
HasValue
public bool HasValue { get; }
Gets whether the "value" field is set
Property Value | |
---|---|
Type | Description |
bool |
ThresholdCase
public FeaturestoreMonitoringConfig.Types.ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }
Property Value | |
---|---|
Type | Description |
FeaturestoreMonitoringConfigTypesThresholdConfigThresholdOneofCase |
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 | |
---|---|
Type | Description |
double |