Class ModelMonitoringObjectiveConfig.Builder (3.56.0)

public static final class ModelMonitoringObjectiveConfig.Builder extends GeneratedMessageV3.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

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringObjectiveConfig.Builder

Implements

ModelMonitoringObjectiveConfigOrBuilder

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)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringObjectiveConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public ModelMonitoringObjectiveConfig build()

Returns
Type	Description
`ModelMonitoringObjectiveConfig`

buildPartial()

public ModelMonitoringObjectiveConfig buildPartial()

Returns
Type	Description
`ModelMonitoringObjectiveConfig`

clear()

public ModelMonitoringObjectiveConfig.Builder clear()

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearExplanationConfig()

public ModelMonitoringObjectiveConfig.Builder clearExplanationConfig()

The config for integrating with Vertex Explainable AI.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringObjectiveConfig.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
`field`	`FieldDescriptor`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringObjectiveConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
`oneof`	`OneofDescriptor`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearPredictionDriftDetectionConfig()

public ModelMonitoringObjectiveConfig.Builder clearPredictionDriftDetectionConfig()

The config for drift of prediction data.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

clone()

public ModelMonitoringObjectiveConfig.Builder clone()

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public ModelMonitoringObjectiveConfig getDefaultInstanceForType()

Returns
Type	Description
`ModelMonitoringObjectiveConfig`

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
`Descriptor`

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getExplanationConfig()

public ModelMonitoringObjectiveConfig.ExplanationConfig getExplanationConfig()

The config for integrating with Vertex Explainable AI.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.ExplanationConfig`	The explanationConfig.

getExplanationConfigBuilder()

public ModelMonitoringObjectiveConfig.ExplanationConfig.Builder getExplanationConfigBuilder()

The config for integrating with Vertex Explainable AI.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.ExplanationConfig.Builder`

getExplanationConfigOrBuilder()

public ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder getExplanationConfigOrBuilder()

The config for integrating with Vertex Explainable AI.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.ExplanationConfigOrBuilder`

getPredictionDriftDetectionConfig()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig getPredictionDriftDetectionConfig()

The config for drift of prediction data.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig`	The predictionDriftDetectionConfig.

getPredictionDriftDetectionConfigBuilder()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder getPredictionDriftDetectionConfigBuilder()

The config for drift of prediction data.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder`

getPredictionDriftDetectionConfigOrBuilder()

public ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder getPredictionDriftDetectionConfigOrBuilder()

The config for drift of prediction data.

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

Returns
Type	Description
`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfigOrBuilder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingDataset`	The trainingDataset.

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingDataset.Builder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig`	The trainingPredictionSkewDetectionConfig.

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`

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;

Returns
Type	Description
`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfigOrBuilder`

hasExplanationConfig()

public boolean hasExplanationConfig()

The config for integrating with Vertex Explainable AI.

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

Returns
Type	Description
`boolean`	Whether the explanationConfig field is set.

hasPredictionDriftDetectionConfig()

public boolean hasPredictionDriftDetectionConfig()

The config for drift of prediction data.

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

Returns
Type	Description
`boolean`	Whether the predictionDriftDetectionConfig field is set.

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;

Returns
Type	Description
`boolean`	Whether the trainingDataset field is set.

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;

Returns
Type	Description
`boolean`	Whether the trainingPredictionSkewDetectionConfig field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
`FieldAccessorTable`

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
`boolean`

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

public ModelMonitoringObjectiveConfig.Builder mergeExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

The config for integrating with Vertex Explainable AI.

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

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.ExplanationConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

mergeFrom(ModelMonitoringObjectiveConfig other)

public ModelMonitoringObjectiveConfig.Builder mergeFrom(ModelMonitoringObjectiveConfig other)

Parameter
Name	Description
`other`	`ModelMonitoringObjectiveConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
`input`	`CodedInputStream`
`extensionRegistry`	`ExtensionRegistryLite`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

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

Exceptions
Type	Description
`IOException`

mergeFrom(Message other)

public ModelMonitoringObjectiveConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
`other`	`Message`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

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

mergePredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

mergeTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.TrainingDataset`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

mergeTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

public ModelMonitoringObjectiveConfig.Builder setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig value)

The config for integrating with Vertex Explainable AI.

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

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.ExplanationConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setExplanationConfig(ModelMonitoringObjectiveConfig.ExplanationConfig.Builder builderForValue)

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;

Parameter
Name	Description
`builderForValue`	`ModelMonitoringObjectiveConfig.ExplanationConfig.Builder`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringObjectiveConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`value`	`Object`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setPredictionDriftDetectionConfig(ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder builderForValue)

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;

Parameter
Name	Description
`builderForValue`	`ModelMonitoringObjectiveConfig.PredictionDriftDetectionConfig.Builder`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public ModelMonitoringObjectiveConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
`field`	`FieldDescriptor`
`index`	`int`
`value`	`Object`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.TrainingDataset`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setTrainingDataset(ModelMonitoringObjectiveConfig.TrainingDataset.Builder builderForValue)

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;

Parameter
Name	Description
`builderForValue`	`ModelMonitoringObjectiveConfig.TrainingDataset.Builder`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig value)

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;

Parameter
Name	Description
`value`	`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setTrainingPredictionSkewDetectionConfig(ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder builderForValue)

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;

Parameter
Name	Description
`builderForValue`	`ModelMonitoringObjectiveConfig.TrainingPredictionSkewDetectionConfig.Builder`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
`unknownFields`	`UnknownFieldSet`

Returns
Type	Description
`ModelMonitoringObjectiveConfig.Builder`

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)