Class ModelMonitoringObjectiveSpec.Builder (3.54.0)

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public static final class ModelMonitoringObjectiveSpec.Builder extends GeneratedMessageV3.Builder<ModelMonitoringObjectiveSpec.Builder> implements ModelMonitoringObjectiveSpecOrBuilder

Monitoring objectives spec.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec

Inheritance

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

Implements

ModelMonitoringObjectiveSpecOrBuilder

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 ModelMonitoringObjectiveSpec.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

build()

public ModelMonitoringObjectiveSpec build()

Returns
Type	Description
ModelMonitoringObjectiveSpec

buildPartial()

public ModelMonitoringObjectiveSpec buildPartial()

Returns
Type	Description
ModelMonitoringObjectiveSpec

clear()

public ModelMonitoringObjectiveSpec.Builder clear()

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearBaselineDataset()

public ModelMonitoringObjectiveSpec.Builder clearBaselineDataset()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

clearExplanationSpec()

public ModelMonitoringObjectiveSpec.Builder clearExplanationSpec()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringObjectiveSpec.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

clearObjective()

public ModelMonitoringObjectiveSpec.Builder clearObjective()

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringObjectiveSpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

clearTabularObjective()

public ModelMonitoringObjectiveSpec.Builder clearTabularObjective()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

clearTargetDataset()

public ModelMonitoringObjectiveSpec.Builder clearTargetDataset()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

clone()

public ModelMonitoringObjectiveSpec.Builder clone()

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getBaselineDataset()

public ModelMonitoringInput getBaselineDataset()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringInput	The baselineDataset.

getBaselineDatasetBuilder()

public ModelMonitoringInput.Builder getBaselineDatasetBuilder()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringInput.Builder

getBaselineDatasetOrBuilder()

public ModelMonitoringInputOrBuilder getBaselineDatasetOrBuilder()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
ModelMonitoringInputOrBuilder

getDefaultInstanceForType()

public ModelMonitoringObjectiveSpec getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringObjectiveSpec

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ExplanationSpec	The explanationSpec.

getExplanationSpecBuilder()

public ExplanationSpec.Builder getExplanationSpecBuilder()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ExplanationSpec.Builder

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
ExplanationSpecOrBuilder

getObjectiveCase()

public ModelMonitoringObjectiveSpec.ObjectiveCase getObjectiveCase()

Returns
Type	Description
ModelMonitoringObjectiveSpec.ObjectiveCase

getTabularObjective()

public ModelMonitoringObjectiveSpec.TabularObjective getTabularObjective()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.TabularObjective	The tabularObjective.

getTabularObjectiveBuilder()

public ModelMonitoringObjectiveSpec.TabularObjective.Builder getTabularObjectiveBuilder()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.TabularObjective.Builder

getTabularObjectiveOrBuilder()

public ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder getTabularObjectiveOrBuilder()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
ModelMonitoringObjectiveSpec.TabularObjectiveOrBuilder

getTargetDataset()

public ModelMonitoringInput getTargetDataset()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringInput	The targetDataset.

getTargetDatasetBuilder()

public ModelMonitoringInput.Builder getTargetDatasetBuilder()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringInput.Builder

getTargetDatasetOrBuilder()

public ModelMonitoringInputOrBuilder getTargetDatasetOrBuilder()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
ModelMonitoringInputOrBuilder

hasBaselineDataset()

public boolean hasBaselineDataset()

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Returns
Type	Description
boolean	Whether the baselineDataset field is set.

hasExplanationSpec()

public boolean hasExplanationSpec()

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Returns
Type	Description
boolean	Whether the explanationSpec field is set.

hasTabularObjective()

public boolean hasTabularObjective()

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Returns
Type	Description
boolean	Whether the tabularObjective field is set.

hasTargetDataset()

public boolean hasTargetDataset()

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Returns
Type	Description
boolean	Whether the targetDataset 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()

mergeBaselineDataset(ModelMonitoringInput value)

public ModelMonitoringObjectiveSpec.Builder mergeBaselineDataset(ModelMonitoringInput value)

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Parameter
Name	Description
value	ModelMonitoringInput

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

mergeExplanationSpec(ExplanationSpec value)

public ModelMonitoringObjectiveSpec.Builder mergeExplanationSpec(ExplanationSpec value)

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Parameter
Name	Description
value	ExplanationSpec

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

mergeFrom(ModelMonitoringObjectiveSpec other)

public ModelMonitoringObjectiveSpec.Builder mergeFrom(ModelMonitoringObjectiveSpec other)

Parameter
Name	Description
other	ModelMonitoringObjectiveSpec

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringObjectiveSpec.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

mergeTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

public ModelMonitoringObjectiveSpec.Builder mergeTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Parameter
Name	Description
value	ModelMonitoringObjectiveSpec.TabularObjective

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

mergeTargetDataset(ModelMonitoringInput value)

public ModelMonitoringObjectiveSpec.Builder mergeTargetDataset(ModelMonitoringInput value)

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Parameter
Name	Description
value	ModelMonitoringInput

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveSpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

setBaselineDataset(ModelMonitoringInput value)

public ModelMonitoringObjectiveSpec.Builder setBaselineDataset(ModelMonitoringInput value)

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Parameter
Name	Description
value	ModelMonitoringInput

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setBaselineDataset(ModelMonitoringInput.Builder builderForValue)

public ModelMonitoringObjectiveSpec.Builder setBaselineDataset(ModelMonitoringInput.Builder builderForValue)

Baseline dataset. It could be the training dataset or production serving dataset from a previous period.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput baseline_dataset = 4;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setExplanationSpec(ExplanationSpec value)

public ModelMonitoringObjectiveSpec.Builder setExplanationSpec(ExplanationSpec value)

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Parameter
Name	Description
value	ExplanationSpec

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setExplanationSpec(ExplanationSpec.Builder builderForValue)

public ModelMonitoringObjectiveSpec.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

The explanation spec. This spec is required when the objectives spec includes feature attribution objectives.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 3;

Parameter
Name	Description
builderForValue	ExplanationSpec.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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

setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

public ModelMonitoringObjectiveSpec.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective value)

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Parameter
Name	Description
value	ModelMonitoringObjectiveSpec.TabularObjective

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective.Builder builderForValue)

public ModelMonitoringObjectiveSpec.Builder setTabularObjective(ModelMonitoringObjectiveSpec.TabularObjective.Builder builderForValue)

Tabular monitoring objective.

.google.cloud.aiplatform.v1beta1.ModelMonitoringObjectiveSpec.TabularObjective tabular_objective = 1;

Parameter
Name	Description
builderForValue	ModelMonitoringObjectiveSpec.TabularObjective.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setTargetDataset(ModelMonitoringInput value)

public ModelMonitoringObjectiveSpec.Builder setTargetDataset(ModelMonitoringInput value)

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Parameter
Name	Description
value	ModelMonitoringInput

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setTargetDataset(ModelMonitoringInput.Builder builderForValue)

public ModelMonitoringObjectiveSpec.Builder setTargetDataset(ModelMonitoringInput.Builder builderForValue)

Target dataset.

.google.cloud.aiplatform.v1beta1.ModelMonitoringInput target_dataset = 5;

Parameter
Name	Description
builderForValue	ModelMonitoringInput.Builder

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringObjectiveSpec.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringObjectiveSpec.Builder

Overrides

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