Class ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig

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

The config for Prediction data drift detection.

Inheritance

Object > ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

PredictionDriftDetectionConfig()

public PredictionDriftDetectionConfig()

PredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig)

public PredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig other)
Parameter
NameDescription
otherModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig

Properties

AttributionScoreDriftThresholds

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

Key is the feature name and value is the threshold. The threshold here is against attribution score distance between different time windows.

Property Value
TypeDescription
MapField<String, ThresholdConfig>

DriftThresholds

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

Key is the feature name and value is the threshold. If a feature needs to be monitored for drift, a value threshold must be configured for that feature. The threshold here is against feature distribution distance between different time windws.

Property Value
TypeDescription
MapField<String, ThresholdConfig>