Vertex AI v1 API - Class ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig (3.56.0)

public sealed class ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig : IMessage<ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig>, IEquatable<ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig>, IDeepCloneable<ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig>, IBufferMessage, IMessage

Reference documentation and code samples for the Vertex AI v1 API class ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig.

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

Inheritance

object > ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig

Implements

IMessage ModelMonitoringObjectiveConfig Types TrainingPredictionSkewDetectionConfig, IEquatable ModelMonitoringObjectiveConfig Types TrainingPredictionSkewDetectionConfig, IDeepCloneable ModelMonitoringObjectiveConfig Types TrainingPredictionSkewDetectionConfig, IBufferMessage, IMessage

Inherited Members

object.GetHashCode()

object.GetType()

object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

TrainingPredictionSkewDetectionConfig()

public TrainingPredictionSkewDetectionConfig()

TrainingPredictionSkewDetectionConfig(TrainingPredictionSkewDetectionConfig)

public TrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig other)

Parameter
Name	Description
`other`	`ModelMonitoringObjectiveConfigTypesTrainingPredictionSkewDetectionConfig`

Properties

AttributionScoreSkewThresholds

public MapField<string, ThresholdConfig> AttributionScoreSkewThresholds { get; }

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.

Property Value
Type	Description
`MapFieldstringThresholdConfig`

DefaultSkewThreshold

public ThresholdConfig DefaultSkewThreshold { get; set; }

Skew anomaly detection threshold used by all features. When the per-feature thresholds are not set, this field can be used to specify a threshold for all features.

Property Value
Type	Description
`ThresholdConfig`

SkewThresholds

public MapField<string, ThresholdConfig> SkewThresholds { get; }

Key is the feature name and value is the threshold. If a feature needs to be monitored for skew, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between the training and prediction feature.

Property Value
Type	Description
`MapFieldstringThresholdConfig`

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