Class DeployedModel.Builder (3.10.0)

Version 3.10.0

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public static final class DeployedModel.Builder extends GeneratedMessageV3.Builder<DeployedModel.Builder> implements DeployedModelOrBuilder

A deployment of a Model. Endpoints contain one or more DeployedModels.

Protobuf type google.cloud.aiplatform.v1.DeployedModel

Inheritance

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

Implements

DeployedModelOrBuilder

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)

GeneratedMessageV3.Builder.internalGetMutableMapField(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 DeployedModel.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
DeployedModel.Builder

Overrides

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

build()

public DeployedModel build()

Returns

Type	Description
DeployedModel

buildPartial()

public DeployedModel buildPartial()

Returns

Type	Description
DeployedModel

clear()

public DeployedModel.Builder clear()

Returns

Type	Description
DeployedModel.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAutomaticResources()

public DeployedModel.Builder clearAutomaticResources()

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Returns

Type	Description
DeployedModel.Builder

clearCreateTime()

public DeployedModel.Builder clearCreateTime()

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
DeployedModel.Builder

clearDedicatedResources()

public DeployedModel.Builder clearDedicatedResources()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Returns

Type	Description
DeployedModel.Builder

clearDisableContainerLogging()

public DeployedModel.Builder clearDisableContainerLogging()

For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send stderr and stdout streams to Stackdriver Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing. User can disable container logging by setting this flag to true.

bool disable_container_logging = 15;

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearDisplayName()

public DeployedModel.Builder clearDisplayName()

The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.

string display_name = 3;

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearEnableAccessLogging()

public DeployedModel.Builder clearEnableAccessLogging()

These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.

bool enable_access_logging = 13;

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearExplanationSpec()

public DeployedModel.Builder clearExplanationSpec()

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Returns

Type	Description
DeployedModel.Builder

clearField(Descriptors.FieldDescriptor field)

public DeployedModel.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
DeployedModel.Builder

Overrides

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

clearId()

public DeployedModel.Builder clearId()

Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

string id = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearModel()

public DeployedModel.Builder clearModel()

Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be deployed.

string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearModelVersionId()

public DeployedModel.Builder clearModelVersionId()

Output only. The version ID of the model that is deployed.

string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public DeployedModel.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
DeployedModel.Builder

Overrides

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

clearPredictionResources()

public DeployedModel.Builder clearPredictionResources()

Returns

Type	Description
DeployedModel.Builder

clearPrivateEndpoints()

public DeployedModel.Builder clearPrivateEndpoints()

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
DeployedModel.Builder

clearServiceAccount()

public DeployedModel.Builder clearServiceAccount()

The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 11;

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

clone()

public DeployedModel.Builder clone()

Returns

Type	Description
DeployedModel.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAutomaticResources()

public AutomaticResources getAutomaticResources()

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Returns

Type	Description
AutomaticResources	The automaticResources.

getAutomaticResourcesBuilder()

public AutomaticResources.Builder getAutomaticResourcesBuilder()

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Returns

Type	Description
AutomaticResources.Builder

getAutomaticResourcesOrBuilder()

public AutomaticResourcesOrBuilder getAutomaticResourcesOrBuilder()

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Returns

Type	Description
AutomaticResourcesOrBuilder

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
Timestamp	The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
TimestampOrBuilder

getDedicatedResources()

public DedicatedResources getDedicatedResources()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Returns

Type	Description
DedicatedResources	The dedicatedResources.

getDedicatedResourcesBuilder()

public DedicatedResources.Builder getDedicatedResourcesBuilder()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Returns

Type	Description
DedicatedResources.Builder

getDedicatedResourcesOrBuilder()

public DedicatedResourcesOrBuilder getDedicatedResourcesOrBuilder()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Returns

Type	Description
DedicatedResourcesOrBuilder

getDefaultInstanceForType()

public DeployedModel getDefaultInstanceForType()

Returns

Type	Description
DeployedModel

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getDisableContainerLogging()

public boolean getDisableContainerLogging()

For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send stderr and stdout streams to Stackdriver Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing. User can disable container logging by setting this flag to true.

bool disable_container_logging = 15;

Returns

Type	Description
boolean	The disableContainerLogging.

getDisplayName()

public String getDisplayName()

The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.

string display_name = 3;

Returns

Type	Description
String	The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.

string display_name = 3;

Returns

Type	Description
ByteString	The bytes for displayName.

getEnableAccessLogging()

public boolean getEnableAccessLogging()

These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.

bool enable_access_logging = 13;

Returns

Type	Description
boolean	The enableAccessLogging.

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Returns

Type	Description
ExplanationSpec	The explanationSpec.

getExplanationSpecBuilder()

public ExplanationSpec.Builder getExplanationSpecBuilder()

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Returns

Type	Description
ExplanationSpec.Builder

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Returns

Type	Description
ExplanationSpecOrBuilder

getId()

public String getId()

Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

string id = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
String	The id.

getIdBytes()

public ByteString getIdBytes()

Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

string id = 1 [(.google.api.field_behavior) = IMMUTABLE];

Returns

Type	Description
ByteString	The bytes for id.

getModel()

public String getModel()

Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be deployed.

string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns

Type	Description
String	The model.

getModelBytes()

public ByteString getModelBytes()

Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be deployed.

string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns

Type	Description
ByteString	The bytes for model.

getModelVersionId()

public String getModelVersionId()

Output only. The version ID of the model that is deployed.

string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
String	The modelVersionId.

getModelVersionIdBytes()

public ByteString getModelVersionIdBytes()

Output only. The version ID of the model that is deployed.

string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
ByteString	The bytes for modelVersionId.

getPredictionResourcesCase()

public DeployedModel.PredictionResourcesCase getPredictionResourcesCase()

Returns

Type	Description
DeployedModel.PredictionResourcesCase

getPrivateEndpoints()

public PrivateEndpoints getPrivateEndpoints()

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
PrivateEndpoints	The privateEndpoints.

getPrivateEndpointsBuilder()

public PrivateEndpoints.Builder getPrivateEndpointsBuilder()

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
PrivateEndpoints.Builder

getPrivateEndpointsOrBuilder()

public PrivateEndpointsOrBuilder getPrivateEndpointsOrBuilder()

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
PrivateEndpointsOrBuilder

getServiceAccount()

public String getServiceAccount()

The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 11;

Returns

Type	Description
String	The serviceAccount.

getServiceAccountBytes()

public ByteString getServiceAccountBytes()

The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 11;

Returns

Type	Description
ByteString	The bytes for serviceAccount.

hasAutomaticResources()

public boolean hasAutomaticResources()

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Returns

Type	Description
boolean	Whether the automaticResources field is set.

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
boolean	Whether the createTime field is set.

hasDedicatedResources()

public boolean hasDedicatedResources()

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Returns

Type	Description
boolean	Whether the dedicatedResources field is set.

hasExplanationSpec()

public boolean hasExplanationSpec()

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Returns

Type	Description
boolean	Whether the explanationSpec field is set.

hasPrivateEndpoints()

public boolean hasPrivateEndpoints()

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns

Type	Description
boolean	Whether the privateEndpoints 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()

mergeAutomaticResources(AutomaticResources value)

public DeployedModel.Builder mergeAutomaticResources(AutomaticResources value)

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Parameter

Name	Description
value	AutomaticResources

Returns

Type	Description
DeployedModel.Builder

mergeCreateTime(Timestamp value)

public DeployedModel.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	Timestamp

Returns

Type	Description
DeployedModel.Builder

mergeDedicatedResources(DedicatedResources value)

public DeployedModel.Builder mergeDedicatedResources(DedicatedResources value)

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Parameter

Name	Description
value	DedicatedResources

Returns

Type	Description
DeployedModel.Builder

mergeExplanationSpec(ExplanationSpec value)

public DeployedModel.Builder mergeExplanationSpec(ExplanationSpec value)

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Parameter

Name	Description
value	ExplanationSpec

Returns

Type	Description
DeployedModel.Builder

mergeFrom(DeployedModel other)

public DeployedModel.Builder mergeFrom(DeployedModel other)

Parameter

Name	Description
other	DeployedModel

Returns

Type	Description
DeployedModel.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
DeployedModel.Builder

Overrides

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

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public DeployedModel.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
DeployedModel.Builder

Overrides

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

mergePrivateEndpoints(PrivateEndpoints value)

public DeployedModel.Builder mergePrivateEndpoints(PrivateEndpoints value)

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	PrivateEndpoints

Returns

Type	Description
DeployedModel.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DeployedModel.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
DeployedModel.Builder

Overrides

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

setAutomaticResources(AutomaticResources value)

public DeployedModel.Builder setAutomaticResources(AutomaticResources value)

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Parameter

Name	Description
value	AutomaticResources

Returns

Type	Description
DeployedModel.Builder

setAutomaticResources(AutomaticResources.Builder builderForValue)

public DeployedModel.Builder setAutomaticResources(AutomaticResources.Builder builderForValue)

A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

.google.cloud.aiplatform.v1.AutomaticResources automatic_resources = 8;

Parameter

Name	Description
builderForValue	AutomaticResources.Builder

Returns

Type	Description
DeployedModel.Builder

setCreateTime(Timestamp value)

public DeployedModel.Builder setCreateTime(Timestamp value)

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	Timestamp

Returns

Type	Description
DeployedModel.Builder

setCreateTime(Timestamp.Builder builderForValue)

public DeployedModel.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when the DeployedModel was created.

.google.protobuf.Timestamp create_time = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
builderForValue	Builder

Returns

Type	Description
DeployedModel.Builder

setDedicatedResources(DedicatedResources value)

public DeployedModel.Builder setDedicatedResources(DedicatedResources value)

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Parameter

Name	Description
value	DedicatedResources

Returns

Type	Description
DeployedModel.Builder

setDedicatedResources(DedicatedResources.Builder builderForValue)

public DeployedModel.Builder setDedicatedResources(DedicatedResources.Builder builderForValue)

A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

.google.cloud.aiplatform.v1.DedicatedResources dedicated_resources = 7;

Parameter

Name	Description
builderForValue	DedicatedResources.Builder

Returns

Type	Description
DeployedModel.Builder

setDisableContainerLogging(boolean value)

public DeployedModel.Builder setDisableContainerLogging(boolean value)

For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send stderr and stdout streams to Stackdriver Logging by default. Please note that the logs incur cost, which are subject to Cloud Logging pricing. User can disable container logging by setting this flag to true.

bool disable_container_logging = 15;

Parameter

Name	Description
value	boolean The disableContainerLogging to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setDisplayName(String value)

public DeployedModel.Builder setDisplayName(String value)

The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.

string display_name = 3;

Parameter

Name	Description
value	String The displayName to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setDisplayNameBytes(ByteString value)

public DeployedModel.Builder setDisplayNameBytes(ByteString value)

The display name of the DeployedModel. If not provided upon creation, the Model's display_name is used.

string display_name = 3;

Parameter

Name	Description
value	ByteString The bytes for displayName to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setEnableAccessLogging(boolean value)

public DeployedModel.Builder setEnableAccessLogging(boolean value)

These logs are like standard server access logs, containing information like timestamp and latency for each prediction request. Note that Stackdriver logs may incur a cost, especially if your project receives prediction requests at a high queries per second rate (QPS). Estimate your costs before enabling this option.

bool enable_access_logging = 13;

Parameter

Name	Description
value	boolean The enableAccessLogging to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setExplanationSpec(ExplanationSpec value)

public DeployedModel.Builder setExplanationSpec(ExplanationSpec value)

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Parameter

Name	Description
value	ExplanationSpec

Returns

Type	Description
DeployedModel.Builder

setExplanationSpec(ExplanationSpec.Builder builderForValue)

public DeployedModel.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

Explanation configuration for this DeployedModel. When deploying a Model using EndpointService.DeployModel, this value overrides the value of Model.explanation_spec. All fields of explanation_spec are optional in the request. If a field of explanation_spec is not populated, the value of the same field of Model.explanation_spec is inherited. If the corresponding Model.explanation_spec is not populated, all fields of the explanation_spec will be used for the explanation configuration.

.google.cloud.aiplatform.v1.ExplanationSpec explanation_spec = 9;

Parameter

Name	Description
builderForValue	ExplanationSpec.Builder

Returns

Type	Description
DeployedModel.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
DeployedModel.Builder

Overrides

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

setId(String value)

public DeployedModel.Builder setId(String value)

Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

string id = 1 [(.google.api.field_behavior) = IMMUTABLE];

Parameter

Name	Description
value	String The id to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setIdBytes(ByteString value)

public DeployedModel.Builder setIdBytes(ByteString value)

Immutable. The ID of the DeployedModel. If not provided upon deployment, Vertex AI will generate a value for this ID. This value should be 1-10 characters, and valid characters are /[0-9]/.

string id = 1 [(.google.api.field_behavior) = IMMUTABLE];

Parameter

Name	Description
value	ByteString The bytes for id to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setModel(String value)

public DeployedModel.Builder setModel(String value)

Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be deployed.

string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter

Name	Description
value	String The model to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setModelBytes(ByteString value)

public DeployedModel.Builder setModelBytes(ByteString value)

Required. The resource name of the Model that this is the deployment of. Note that the Model may be in a different location than the DeployedModel's Endpoint. The resource name may contain version id or version alias to specify the version, if no version is specified, the default version will be deployed.

string model = 2 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter

Name	Description
value	ByteString The bytes for model to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setModelVersionId(String value)

public DeployedModel.Builder setModelVersionId(String value)

Output only. The version ID of the model that is deployed.

string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	String The modelVersionId to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setModelVersionIdBytes(ByteString value)

public DeployedModel.Builder setModelVersionIdBytes(ByteString value)

Output only. The version ID of the model that is deployed.

string model_version_id = 18 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	ByteString The bytes for modelVersionId to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setPrivateEndpoints(PrivateEndpoints value)

public DeployedModel.Builder setPrivateEndpoints(PrivateEndpoints value)

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
value	PrivateEndpoints

Returns

Type	Description
DeployedModel.Builder

setPrivateEndpoints(PrivateEndpoints.Builder builderForValue)

public DeployedModel.Builder setPrivateEndpoints(PrivateEndpoints.Builder builderForValue)

Output only. Provide paths for users to send predict/explain/health requests directly to the deployed model services running on Cloud via private services access. This field is populated if network is configured.

.google.cloud.aiplatform.v1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter

Name	Description
builderForValue	PrivateEndpoints.Builder

Returns

Type	Description
DeployedModel.Builder

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

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

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
DeployedModel.Builder

Overrides

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

setServiceAccount(String value)

public DeployedModel.Builder setServiceAccount(String value)

The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 11;

Parameter

Name	Description
value	String The serviceAccount to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setServiceAccountBytes(ByteString value)

public DeployedModel.Builder setServiceAccountBytes(ByteString value)

The service account that the DeployedModel's container runs as. Specify the email address of the service account. If this service account is not specified, the container runs as a service account that doesn't have access to the resource project. Users deploying the Model must have the iam.serviceAccounts.actAs permission on this service account.

string service_account = 11;

Parameter

Name	Description
value	ByteString The bytes for serviceAccount to set.

Returns

Type	Description
DeployedModel.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final DeployedModel.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
DeployedModel.Builder

Overrides

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