Class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder (3.13.0)
Version 3.13.0keyboard_arrow_down
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.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig
Inherited Members
com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()
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)
Static Methods
public static final Descriptors . Descriptor getDescriptor ()
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Methods
public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder addRepeatedField ( Descriptors . FieldDescriptor field , Object value )
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public ModelMonitoringObjectiveConfig . ExplanationConfig build ()
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public ModelMonitoringObjectiveConfig . ExplanationConfig buildPartial ()
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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;
Returns
public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder clearExplanationBaseline ()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
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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 ()
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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.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Returns
public ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline . Builder getExplanationBaselineBuilder ()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
Returns
public ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder ()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
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public boolean hasExplanationBaseline ()
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.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.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
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public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder mergeFrom ( ModelMonitoringObjectiveConfig . ExplanationConfig other )
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public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder mergeFrom ( CodedInputStream input , ExtensionRegistryLite extensionRegistry )
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Exceptions
public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder mergeFrom ( Message other )
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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.
Returns
public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder setExplanationBaseline ( ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline value )
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
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public ModelMonitoringObjectiveConfig . ExplanationConfig . Builder setExplanationBaseline ( ModelMonitoringObjectiveConfig . ExplanationConfig . ExplanationBaseline . Builder builderForValue )
Predictions generated by the BatchPredictionJob using baseline dataset.
.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;
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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 2025-10-30 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-30 UTC."],[],[]]
