Package com.google.cloud.aiplatform.v1

Class ModelMonitoringObjectiveConfig.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

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

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

All Implemented Interfaces:

ModelMonitoringObjectiveConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ModelMonitoringObjectiveConfig

public static final class ModelMonitoringObjectiveConfig.Builder
extends com.google.protobuf.GeneratedMessage.Builder<ModelMonitoringObjectiveConfig.Builder>
implements ModelMonitoringObjectiveConfigOrBuilder

 The objective configuration for model monitoring, including the information
 needed to detect anomalies for one particular model.
 

Protobuf type google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig

Method Summary

Modifier and Type	Method	Description
ModelMonitoringObjectiveConfig	build()
ModelMonitoringObjectiveConfig	buildPartial()
ModelMonitoringObjectiveConfig.Builder	clear()
ModelMonitoringObjectiveConfig.Builder	clearExplanationConfig()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.Builder	clearPredictionDriftDetectionConfig()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.Builder	clearTrainingDataset()	Training dataset for models.
ModelMonitoringObjectiveConfig.Builder	clearTrainingPredictionSkewDetectionConfig()	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
ModelMonitoringObjectiveConfig.ExplanationConfig	getExplanationConfig()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.ExplanationConfig.Builder	getExplanationConfigBuilder()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder	getExplanationConfigOrBuilder()	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig	getPredictionDriftDetectionConfig()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder	getPredictionDriftDetectionConfigBuilder()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder	getPredictionDriftDetectionConfigOrBuilder()	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.TrainingDataset	getTrainingDataset()	Training dataset for models.
ModelMonitoringObjectiveConfig.TrainingDataset.Builder	getTrainingDatasetBuilder()	Training dataset for models.
ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder	getTrainingDatasetOrBuilder()	Training dataset for models.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig	getTrainingPredictionSkewDetectionConfig()	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder	getTrainingPredictionSkewDetectionConfigBuilder()	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder	getTrainingPredictionSkewDetectionConfigOrBuilder()	The config for skew between training data and prediction data.
boolean	hasExplanationConfig()	The config for integrating with Vertex Explainable AI.
boolean	hasPredictionDriftDetectionConfig()	The config for drift of prediction data.
boolean	hasTrainingDataset()	Training dataset for models.
boolean	hasTrainingPredictionSkewDetectionConfig()	The config for skew between training data and prediction data.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
ModelMonitoringObjectiveConfig.Builder	mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.Builder	mergeFrom(ModelMonitoringObjectiveConfig other)
ModelMonitoringObjectiveConfig.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ModelMonitoringObjectiveConfig.Builder	mergeFrom(com.google.protobuf.Message other)
ModelMonitoringObjectiveConfig.Builder	mergePredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.Builder	mergeTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)	Training dataset for models.
ModelMonitoringObjectiveConfig.Builder	mergeTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig.Builder	setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.Builder	setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig.Builder builderForValue)	The config for integrating with Vertex Explainable AI.
ModelMonitoringObjectiveConfig.Builder	setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.Builder	setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder builderForValue)	The config for drift of prediction data.
ModelMonitoringObjectiveConfig.Builder	setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)	Training dataset for models.
ModelMonitoringObjectiveConfig.Builder	setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue)	Training dataset for models.
ModelMonitoringObjectiveConfig.Builder	setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)	The config for skew between training data and prediction data.
ModelMonitoringObjectiveConfig.Builder	setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder builderForValue)	The config for skew between training data and prediction data.

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.Builder>

clear

public ModelMonitoringObjectiveConfig.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.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.Builder>

getDefaultInstanceForType

public ModelMonitoringObjectiveConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ModelMonitoringObjectiveConfig build()

Specified by:

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

Specified by:

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

buildPartial

public ModelMonitoringObjectiveConfig buildPartial()

Specified by:

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

Specified by:

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

mergeFrom

public ModelMonitoringObjectiveConfig.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.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig 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.Builder>

mergeFrom

public ModelMonitoringObjectiveConfig.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.Builder>

Throws:

IOException

hasTrainingDataset

public boolean hasTrainingDataset()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Specified by:

hasTrainingDataset in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

Whether the trainingDataset field is set.

getTrainingDataset

public ModelMonitoringObjectiveConfig.TrainingDataset getTrainingDataset()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Specified by:

getTrainingDataset in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

The trainingDataset.

setTrainingDataset

public ModelMonitoringObjectiveConfig.Builder setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

setTrainingDataset

public ModelMonitoringObjectiveConfig.Builder setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue)

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

mergeTrainingDataset

public ModelMonitoringObjectiveConfig.Builder mergeTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

clearTrainingDataset

public ModelMonitoringObjectiveConfig.Builder clearTrainingDataset()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

getTrainingDatasetBuilder

public ModelMonitoringObjectiveConfig.TrainingDataset.Builder getTrainingDatasetBuilder()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

getTrainingDatasetOrBuilder

public ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder getTrainingDatasetOrBuilder()

 Training dataset for models. This field has to be set only if
 TrainingPredictionSkewDetectionConfig is specified.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset training_dataset = 1;

Specified by:

getTrainingDatasetOrBuilder in interface ModelMonitoringObjectiveConfigOrBuilder

hasTrainingPredictionSkewDetectionConfig

public boolean hasTrainingPredictionSkewDetectionConfig()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Specified by:

hasTrainingPredictionSkewDetectionConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

Whether the trainingPredictionSkewDetectionConfig field is set.

getTrainingPredictionSkewDetectionConfig

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig getTrainingPredictionSkewDetectionConfig()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Specified by:

getTrainingPredictionSkewDetectionConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

The trainingPredictionSkewDetectionConfig.

setTrainingPredictionSkewDetectionConfig

public ModelMonitoringObjectiveConfig.Builder setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

setTrainingPredictionSkewDetectionConfig

public ModelMonitoringObjectiveConfig.Builder setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder builderForValue)

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

mergeTrainingPredictionSkewDetectionConfig

public ModelMonitoringObjectiveConfig.Builder mergeTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

clearTrainingPredictionSkewDetectionConfig

public ModelMonitoringObjectiveConfig.Builder clearTrainingPredictionSkewDetectionConfig()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

getTrainingPredictionSkewDetectionConfigBuilder

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder getTrainingPredictionSkewDetectionConfigBuilder()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

getTrainingPredictionSkewDetectionConfigOrBuilder

public ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder getTrainingPredictionSkewDetectionConfigOrBuilder()

 The config for skew between training data and prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig training_prediction_skew_detection_config = 2;

Specified by:

getTrainingPredictionSkewDetectionConfigOrBuilder in interface ModelMonitoringObjectiveConfigOrBuilder

hasPredictionDriftDetectionConfig

public boolean hasPredictionDriftDetectionConfig()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Specified by:

hasPredictionDriftDetectionConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

Whether the predictionDriftDetectionConfig field is set.

getPredictionDriftDetectionConfig

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getPredictionDriftDetectionConfig()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Specified by:

getPredictionDriftDetectionConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

The predictionDriftDetectionConfig.

setPredictionDriftDetectionConfig

public ModelMonitoringObjectiveConfig.Builder setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

setPredictionDriftDetectionConfig

public ModelMonitoringObjectiveConfig.Builder setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder builderForValue)

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

mergePredictionDriftDetectionConfig

public ModelMonitoringObjectiveConfig.Builder mergePredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

clearPredictionDriftDetectionConfig

public ModelMonitoringObjectiveConfig.Builder clearPredictionDriftDetectionConfig()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

getPredictionDriftDetectionConfigBuilder

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder getPredictionDriftDetectionConfigBuilder()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

getPredictionDriftDetectionConfigOrBuilder

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder getPredictionDriftDetectionConfigOrBuilder()

 The config for drift of prediction data.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig prediction_drift_detection_config = 3;

Specified by:

getPredictionDriftDetectionConfigOrBuilder in interface ModelMonitoringObjectiveConfigOrBuilder

hasExplanationConfig

public boolean hasExplanationConfig()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Specified by:

hasExplanationConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

Whether the explanationConfig field is set.

getExplanationConfig

public ModelMonitoringObjectiveConfig.ExplanationConfig getExplanationConfig()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Specified by:

getExplanationConfig in interface ModelMonitoringObjectiveConfigOrBuilder

Returns:

The explanationConfig.

setExplanationConfig

public ModelMonitoringObjectiveConfig.Builder setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

setExplanationConfig

public ModelMonitoringObjectiveConfig.Builder setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig.Builder builderForValue)

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

mergeExplanationConfig

public ModelMonitoringObjectiveConfig.Builder mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

clearExplanationConfig

public ModelMonitoringObjectiveConfig.Builder clearExplanationConfig()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

getExplanationConfigBuilder

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder getExplanationConfigBuilder()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

getExplanationConfigOrBuilder

public ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder getExplanationConfigOrBuilder()

 The config for integrating with Vertex Explainable AI.
 

.google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.ExplanationConfig explanation_config = 5;

Specified by:

getExplanationConfigOrBuilder in interface ModelMonitoringObjectiveConfigOrBuilder