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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 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.
Implements
IMessageModelMonitoringObjectiveConfigTypesTrainingPredictionSkewDetectionConfig, IEquatableModelMonitoringObjectiveConfigTypesTrainingPredictionSkewDetectionConfig, IDeepCloneableModelMonitoringObjectiveConfigTypesTrainingPredictionSkewDetectionConfig, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Assembly
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 |