ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig class final

The config for Training & Prediction data skew detection. It specifies the training dataset sources and the skew detection parameters.

Inheritance

Constructors

ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig({Map<String, ThresholdConfig> skewThresholds = const {}, Map<String, ThresholdConfig> attributionScoreSkewThresholds = const {}, ThresholdConfig? defaultSkewThreshold})
ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig.fromJson(Object? j): factory

attributionScoreSkewThresholds → Map<String, ThresholdConfig>: Key is the feature name and value is the threshold. The threshold here is against attribution score distance between the training and prediction feature.
final
defaultSkewThreshold → ThresholdConfig?: 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.
final
hashCode → int: The hash code for this object.
no setterinherited
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
skewThresholds → Map<String, ThresholdConfig>: 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.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override