Package com.google.cloud.aiplatform.v1

Class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

com.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.Builder

All Implemented Interfaces:

ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitoringObjectiveConfig.ExplanationConfig

public static final class ModelMonitoringObjectiveConfig.ExplanationConfig.Builder
extends com.google.protobuf.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.v1.ModelMonitoringObjectiveConfig.ExplanationConfig

Method Summary

Modifier and Type	Method	Description
ModelMonitoringObjectiveConfig.ExplanationConfig	build()
ModelMonitoringObjectiveConfig.ExplanationConfig	buildPartial()
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	clear()
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	clearEnableFeatureAttributes()	If want to analyze the Vertex Explainable AI feature attribute scores or not.
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	clearExplanationBaseline()	Predictions generated by the BatchPredictionJob using baseline dataset.
ModelMonitoringObjectiveConfig.ExplanationConfig	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
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.ExplanationBaseline.Builder	getExplanationBaselineBuilder()	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.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	mergeExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)	Predictions generated by the BatchPredictionJob using baseline dataset.
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	mergeFrom(ModelMonitoringObjectiveConfig.ExplanationConfig other)
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	setEnableFeatureAttributes(boolean value)	If want to analyze the Vertex Explainable AI feature attribute scores or not.
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline value)	Predictions generated by the BatchPredictionJob using baseline dataset.
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	setExplanationBaseline(ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder builderForValue)	Predictions generated by the BatchPredictionJob using baseline dataset.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

clear

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

getDefaultInstanceForType

public ModelMonitoringObjectiveConfig.ExplanationConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringObjectiveConfig.ExplanationConfig build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ModelMonitoringObjectiveConfig.ExplanationConfig buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

mergeFrom

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

mergeFrom

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

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                                   throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ModelMonitoringObjectiveConfig.ExplanationConfig.Builder>

Throws:

IOException

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;

Specified by:

getEnableFeatureAttributes in interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

Returns:

The enableFeatureAttributes.

setEnableFeatureAttributes

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;

Parameters:

value - The enableFeatureAttributes to set.

Returns:

This builder for chaining.

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:

This builder for chaining.

hasExplanationBaseline

public boolean hasExplanationBaseline()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Specified by:

hasExplanationBaseline in interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

Returns:

Whether the explanationBaseline field is set.

getExplanationBaseline

public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline getExplanationBaseline()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Specified by:

getExplanationBaseline in interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder

Returns:

The explanationBaseline.

setExplanationBaseline

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;

setExplanationBaseline

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;

mergeExplanationBaseline

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;

clearExplanationBaseline

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder clearExplanationBaseline()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

getExplanationBaselineBuilder

public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline.Builder getExplanationBaselineBuilder()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

getExplanationBaselineOrBuilder

public ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaselineOrBuilder getExplanationBaselineOrBuilder()

 Predictions generated by the BatchPredictionJob using baseline dataset.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig.ExplanationBaseline explanation_baseline = 2;

Specified by:

getExplanationBaselineOrBuilder in interface ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder