ModelMonitoringObjectiveConfig class final

The objective configuration for model monitoring, including the information needed to detect anomalies for one particular model.

Inheritance

Constructors

ModelMonitoringObjectiveConfig({ModelMonitoringObjectiveConfig_TrainingDataset? trainingDataset, ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig? trainingPredictionSkewDetectionConfig, ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig? predictionDriftDetectionConfig, ModelMonitoringObjectiveConfig_ExplanationConfig? explanationConfig})
ModelMonitoringObjectiveConfig.fromJson(Object? j): factory

explanationConfig → ModelMonitoringObjectiveConfig_ExplanationConfig?: The config for integrating with Vertex Explainable AI.
final
hashCode → int: The hash code for this object.
no setterinherited
predictionDriftDetectionConfig → ModelMonitoringObjectiveConfig_PredictionDriftDetectionConfig?: The config for drift of prediction data.
final
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
trainingDataset → ModelMonitoringObjectiveConfig_TrainingDataset?: Training dataset for models. This field has to be set only if TrainingPredictionSkewDetectionConfig is specified.
final
trainingPredictionSkewDetectionConfig → ModelMonitoringObjectiveConfig_TrainingPredictionSkewDetectionConfig?: The config for skew between training data and prediction data.
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