Vertex AI v1 API - Class ModelMonitoringObjectiveConfig.Types.TrainingPredictionSkewDetectionConfig (3.69.0) 

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

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