ModelMonitoringObjectiveConfig_ExplanationConfig class final
The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.
- Inheritance
-
- Object
- ProtoMessage
- ModelMonitoringObjectiveConfig_ExplanationConfig
Constructors
- ModelMonitoringObjectiveConfig_ExplanationConfig({bool enableFeatureAttributes = false, ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline? explanationBaseline})
- ModelMonitoringObjectiveConfig_ExplanationConfig.fromJson(Object? j)
-
factory
Properties
- enableFeatureAttributes → bool
-
If want to analyze the Vertex Explainable AI feature attribute scores or
not. If set to true, Vertex AI will log the feature attributions from
explain response and do the skew/drift detection for them.
final
- explanationBaseline → ModelMonitoringObjectiveConfig_ExplanationConfig_ExplanationBaseline?
-
Predictions generated by the BatchPredictionJob using baseline dataset.
final
- hashCode → int
-
The hash code for this object.
no setterinherited
- qualifiedName → String
-
The fully qualified name of this message, i.e.,
google.protobuf.Durationorgoogle.rpc.ErrorInfo.finalinherited - runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
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
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String