Cloud AI Platform v1 API - Class ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig (2.7.0)

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

Reference documentation and code samples for the Cloud AI Platform 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.MemberwiseClone()

Object.ToString()

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

TrainingPredictionSkewDetectionConfig()

public TrainingPredictionSkewDetectionConfig()

TrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig)

public TrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig other)

Parameter
Name	Description
`other`	`ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig`

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
`MapField<String, ThresholdConfig>`

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
`MapField<String, ThresholdConfig>`