Class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder (3.84.0)

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public static final class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder extends GeneratedMessage.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

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

Implements

ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

build()

public ModelMonitoringObjectiveConfig.ExplanationConfig build()

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig

buildPartial()

public ModelMonitoringObjectiveConfig.ExplanationConfig buildPartial()

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig

clear()

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clear()

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearEnableFeatureAttributes()

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
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	This builder for chaining.

clearExplanationBaseline()

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearExplanationBaseline()

Predictions generated by the BatchPredictionJob using baseline dataset.

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

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig.ExplanationConfig getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getEnableFeatureAttributes()

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.

getExplanationBaseline()

public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()

Predictions generated by the BatchPredictionJob using baseline dataset.

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

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline	The explanationBaseline.

getExplanationBaselineBuilder()

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
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder

getExplanationBaselineOrBuilder()

public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()

Predictions generated by the BatchPredictionJob using baseline dataset.

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

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder

hasExplanationBaseline()

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.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)

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;

Parameter
Name	Description
value	ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

mergeFrom(ModelMonitoringObjectiveConfig.ExplanationConfig other)

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig.ExplanationConfig other)

Parameter
Name	Description
other	ModelMonitoringObjectiveConfig.ExplanationConfig

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

setEnableFeatureAttributes(boolean value)

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
value	boolean The enableFeatureAttributes to set.

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	This builder for chaining.

setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)

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;

Parameter
Name	Description
value	ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder builderForValue)

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;

Parameter
Name	Description
builderForValue	ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder

Returns
Type	Description
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder