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      Class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder (3.79.0) 
  
  
  
   
  
    
  
  
    
    
    
    
    
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public   static   final   class  ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   extends   GeneratedMessageV3 . Builder<ModelMonitoringObjectiveConfig . ExplanationConfig . Builder >  implements   ModelMonitoringObjectiveConfig . ExplanationConfigOrBuilder  
   The config for integrating with Vertex Explainable AI. Only applicable if
 the Model has explanation_spec populated.
 Protobuf type 
 google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig
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      com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder() 
    
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int) 
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int) 
    
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString) 
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int) 
    
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int) 
    
    
    
    
      com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder) 
    
    
    
    
    
    
    
    
    
    
    
    
   
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public   static   final   Descriptors . Descriptor   getDescriptor ()  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   addRepeatedField ( Descriptors . FieldDescriptor   field ,   Object   value )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig   build ()  
  
  
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig   buildPartial ()  
  
  
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clear ()  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clearEnableFeatureAttributes ()  
   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;
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clearExplanationBaseline ()  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clearField ( Descriptors . FieldDescriptor   field )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clearOneof ( Descriptors . OneofDescriptor   oneof )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   clone ()  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig   getDefaultInstanceForType ()  
  
  
    
public   Descriptors . Descriptor   getDescriptorForType ()  
  
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public   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  
      
        Type Description  
      
        boolean The enableFeatureAttributes.
 
     
  
  
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline   getExplanationBaseline ()  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline . Builder   getExplanationBaselineBuilder ()  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaselineOrBuilder   getExplanationBaselineOrBuilder ()  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   boolean   hasExplanationBaseline ()  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
      
        Returns  
      
        Type Description  
      
        boolean Whether the explanationBaseline field is set.
 
     
  
  
    
protected   GeneratedMessageV3 . FieldAccessorTable   internalGetFieldAccessorTable ()  
  
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public   final   boolean   isInitialized ()  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   mergeExplanationBaseline ( ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline   value )  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   mergeFrom ( ModelMonitoringObjectiveConfig . ExplanationConfig   other )  
  
  
  
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   mergeFrom ( CodedInputStream   input ,   ExtensionRegistryLite   extensionRegistry )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   mergeFrom ( Message   other )  
  
    
      
        Parameter  
      
        Name Description  
      
        otherMessage  
     
  
  
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public   final   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   mergeUnknownFields ( UnknownFieldSet   unknownFields )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setEnableFeatureAttributes ( boolean   value )  
   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;
    
      
        Parameter  
      
        Name Description  
      
        valueboolean The enableFeatureAttributes to set.
 
     
  
  
  
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setExplanationBaseline ( ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline   value )  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setExplanationBaseline ( ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline . Builder   builderForValue )  
   Predictions generated by the BatchPredictionJob using baseline dataset.
 
 .google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
 
    
public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setField ( Descriptors . FieldDescriptor   field ,   Object   value )  
  
  
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public   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setRepeatedField ( Descriptors . FieldDescriptor   field ,   int   index ,   Object   value )  
  
  
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public   final   ModelMonitoringObjectiveConfig . ExplanationConfig . Builder   setUnknownFields ( UnknownFieldSet   unknownFields )  
  
  
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  Last updated 2025-10-29 UTC.
 
 
  
  
    
    
    
      
  
  
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