Class FeaturestoreMonitoringConfig.Types.ThresholdConfig (2.1.0)

public sealed class ThresholdConfig : IMessage<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IEquatable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IDeepCloneable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IBufferMessage, IMessage

The config for Featurestore Monitoring threshold.

Inheritance

Object > FeaturestoreMonitoringConfig.Types.ThresholdConfig

Implements

IMessage<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IEquatable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IDeepCloneable<FeaturestoreMonitoringConfig.Types.ThresholdConfig>, IBufferMessage, IMessage

Inherited Members

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

ThresholdConfig()

public ThresholdConfig()

ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig)

public ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig other)

Parameter
Name	Description
`other`	`FeaturestoreMonitoringConfig.Types.ThresholdConfig`

Properties

ThresholdCase

public FeaturestoreMonitoringConfig.Types.ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }

Property Value
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
Type	Description
`Double`