Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

ModelMonitoringObjectiveConfig.ExplanationConfig, ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

Enclosing class:

ModelMonitoringObjectiveConfig

public static interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
boolean	getEnableFeatureAttributes()	If want to analyze the Vertex Explainable AI feature attribute scores or not.
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline	getExplanationBaseline()	Predictions generated by the BatchPredictionJob using baseline dataset.
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder	getExplanationBaselineOrBuilder()	Predictions generated by the BatchPredictionJob using baseline dataset.
boolean	hasExplanationBaseline()	Predictions generated by the BatchPredictionJob using baseline dataset.

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Method Detail

getEnableFeatureAttributes

boolean getEnableFeatureAttributes()

 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.
 

bool enable_feature_attributes = 1;

Returns:

The enableFeatureAttributes.

hasExplanationBaseline

boolean hasExplanationBaseline()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Returns:

Whether the explanationBaseline field is set.

getExplanationBaseline

ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Returns:

The explanationBaseline.

getExplanationBaselineOrBuilder

ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;