Cloud AI Platform v1 API - Class FeaturestoreMonitoringConfig (2.10.0)

Version 2.10.0

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

Reference documentation and code samples for the Cloud AI Platform v1 API class FeaturestoreMonitoringConfig.

Configuration of how features in Featurestore are monitored.

Inheritance

object > FeaturestoreMonitoringConfig

Implements

IMessageFeaturestoreMonitoringConfig, IEquatableFeaturestoreMonitoringConfig, IDeepCloneableFeaturestoreMonitoringConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ToString()

Namespace

GoogleCloudGoogle.Cloud.AIPlatformV1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

FeaturestoreMonitoringConfig()

public FeaturestoreMonitoringConfig()

FeaturestoreMonitoringConfig(FeaturestoreMonitoringConfig)

public FeaturestoreMonitoringConfig(FeaturestoreMonitoringConfig other)

Parameter
Name	Description
other	FeaturestoreMonitoringConfig

Properties

CategoricalThresholdConfig

public FeaturestoreMonitoringConfig.Types.ThresholdConfig CategoricalThresholdConfig { get; set; }

Threshold for categorical features of anomaly detection. This is shared by all types of Featurestore Monitoring for categorical features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) BOOL or STRING).

Property Value
Type	Description
FeaturestoreMonitoringConfigTypesThresholdConfig

ImportFeaturesAnalysis

public FeaturestoreMonitoringConfig.Types.ImportFeaturesAnalysis ImportFeaturesAnalysis { get; set; }

The config for ImportFeatures Analysis Based Feature Monitoring.

Property Value
Type	Description
FeaturestoreMonitoringConfigTypesImportFeaturesAnalysis

NumericalThresholdConfig

public FeaturestoreMonitoringConfig.Types.ThresholdConfig NumericalThresholdConfig { get; set; }

Threshold for numerical features of anomaly detection. This is shared by all objectives of Featurestore Monitoring for numerical features (i.e. Features with type ([Feature.ValueType][google.cloud.aiplatform.v1.Feature.ValueType]) DOUBLE or INT64).

Property Value
Type	Description
FeaturestoreMonitoringConfigTypesThresholdConfig

SnapshotAnalysis

public FeaturestoreMonitoringConfig.Types.SnapshotAnalysis SnapshotAnalysis { get; set; }

The config for Snapshot Analysis Based Feature Monitoring.

Property Value
Type	Description
FeaturestoreMonitoringConfigTypesSnapshotAnalysis