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public sealed class ModelMonitoringObjectiveConfig.Types.ExplanationConfig : IMessage<ModelMonitoringObjectiveConfig.Types.ExplanationConfig>, IEquatable<ModelMonitoringObjectiveConfig.Types.ExplanationConfig>, IDeepCloneable<ModelMonitoringObjectiveConfig.Types.ExplanationConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class ModelMonitoringObjectiveConfig.Types.ExplanationConfig.
The config for integrating with Vertex Explainable AI. Only applicable if the Model has explanation_spec populated.
Implements
IMessageModelMonitoringObjectiveConfigTypesExplanationConfig, IEquatableModelMonitoringObjectiveConfigTypesExplanationConfig, IDeepCloneableModelMonitoringObjectiveConfigTypesExplanationConfig, IBufferMessage, IMessageNamespace
GoogleCloudGoogle.Cloud.AIPlatformV1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
ExplanationConfig()
public ExplanationConfig()
ExplanationConfig(ExplanationConfig)
public ExplanationConfig(ModelMonitoringObjectiveConfig.Types.ExplanationConfig other)
Parameter | |
---|---|
Name | Description |
other | ModelMonitoringObjectiveConfigTypesExplanationConfig |
Properties
EnableFeatureAttributes
public bool EnableFeatureAttributes { get; set; }
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.
Property Value | |
---|---|
Type | Description |
bool |
ExplanationBaseline
public ModelMonitoringObjectiveConfig.Types.ExplanationConfig.Types.ExplanationBaseline ExplanationBaseline { get; set; }
Predictions generated by the BatchPredictionJob using baseline dataset.
Property Value | |
---|---|
Type | Description |
ModelMonitoringObjectiveConfigTypesExplanationConfigTypesExplanationBaseline |