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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.
Implements
IMessage<ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig>, IEquatable<ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig>, IDeepCloneable<ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig>, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
PredictionDriftDetectionConfig()
public PredictionDriftDetectionConfig()
PredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig)
public PredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.Types.PredictionDriftDetectionConfig other)
Parameter | |
---|---|
Name | Description |
other | ModelMonitoringObjectiveConfig.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 | |
---|---|
Type | Description |
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 | |
---|---|
Type | Description |
MapField<String, ThresholdConfig> |