Cloud AI Platform v1 API - Class FeaturestoreMonitoringConfig.Types.ThresholdConfig (2.10.0) 

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 v1 API class FeaturestoreMonitoringConfig.Types.ThresholdConfig.

The config for Featurestore Monitoring threshold.

Inheritance

object > FeaturestoreMonitoringConfig.Types.ThresholdConfig

Namespace

GoogleCloudGoogle.Cloud.AIPlatformV1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

ThresholdConfig()

public ThresholdConfig()

ThresholdConfig(ThresholdConfig)

public ThresholdConfig(FeaturestoreMonitoringConfig.Types.ThresholdConfig other)
Parameter
NameDescription
otherFeaturestoreMonitoringConfigTypesThresholdConfig

Properties

ThresholdCase

public FeaturestoreMonitoringConfig.Types.ThresholdConfig.ThresholdOneofCase ThresholdCase { get; }
Property Value
TypeDescription
FeaturestoreMonitoringConfigTypesThresholdConfigThresholdOneofCase

Value

public double Value { get; set; }

Specify a threshold value that can trigger the alert.

  1. For categorical feature, the distribution distance is calculated by L-inifinity norm.
  2. 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
TypeDescription
double