Class DeployedModel.Builder (3.20.0)

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.v1beta1.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.v1beta1.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.v1beta1.DedicatedResources dedicated_resources = 7;

Returns
Type	Description
`DeployedModel.Builder`

clearDisableExplanations()

public DeployedModel.Builder clearDisableExplanations()

If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.

bool disable_explanations = 19;

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()

If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each prediction request.

Note that 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.

clearEnableContainerLogging()

public DeployedModel.Builder clearEnableContainerLogging()

If true, the container of the DeployedModel instances will send stderr and stdout streams to Cloud Logging.

Only supported for custom-trained Models and AutoML Tabular Models.

bool enable_container_logging = 12;

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.v1beta1.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. Example: projects/{project}/locations/{location}/models/{model}@2 or projects/{project}/locations/{location}/models/{model}@golden 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.v1beta1.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.

clearSharedResources()

public DeployedModel.Builder clearSharedResources()

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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()

getDisableExplanations()

public boolean getDisableExplanations()

If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.

bool disable_explanations = 19;

Returns
Type	Description
`boolean`	The disableExplanations.

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()

If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each prediction request.

Note that 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.

getEnableContainerLogging()

public boolean getEnableContainerLogging()

If true, the container of the DeployedModel instances will send stderr and stdout streams to Cloud Logging.

Only supported for custom-trained Models and AutoML Tabular Models.

bool enable_container_logging = 12;

Returns
Type	Description
`boolean`	The enableContainerLogging.

getExplanationSpec()

public ExplanationSpec getExplanationSpec()

Explanation configuration for this DeployedModel.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;

Returns
Type	Description
`ExplanationSpec`	The explanationSpec.

getExplanationSpecBuilder()

public ExplanationSpec.Builder getExplanationSpecBuilder()

Explanation configuration for this DeployedModel.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;

Returns
Type	Description
`ExplanationSpec.Builder`

getExplanationSpecOrBuilder()

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

Explanation configuration for this DeployedModel.

.google.cloud.aiplatform.v1beta1.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.

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.

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()

.google.cloud.aiplatform.v1beta1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`PrivateEndpoints`	The privateEndpoints.

getPrivateEndpointsBuilder()

public PrivateEndpoints.Builder getPrivateEndpointsBuilder()

.google.cloud.aiplatform.v1beta1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`PrivateEndpoints.Builder`

getPrivateEndpointsOrBuilder()

public PrivateEndpointsOrBuilder getPrivateEndpointsOrBuilder()

.google.cloud.aiplatform.v1beta1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
`PrivateEndpointsOrBuilder`

getServiceAccount()

public String getServiceAccount()

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()

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.

getSharedResources()

public String getSharedResources()

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
`String`	The sharedResources.

getSharedResourcesBytes()

public ByteString getSharedResourcesBytes()

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
`ByteString`	The bytes for sharedResources.

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.v1beta1.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.v1beta1.DedicatedResources dedicated_resources = 7;

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

hasExplanationSpec()

public boolean hasExplanationSpec()

Explanation configuration for this DeployedModel.

.google.cloud.aiplatform.v1beta1.ExplanationSpec explanation_spec = 9;

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

hasPrivateEndpoints()

public boolean hasPrivateEndpoints()

.google.cloud.aiplatform.v1beta1.PrivateEndpoints private_endpoints = 14 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

hasSharedResources()

public boolean hasSharedResources()

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

Returns
Type	Description
`boolean`	Whether the sharedResources 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.v1beta1.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.v1beta1.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.

.google.cloud.aiplatform.v1beta1.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)

.google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.DedicatedResources dedicated_resources = 7;

Parameter
Name	Description
`builderForValue`	`DedicatedResources.Builder`

Returns
Type	Description
`DeployedModel.Builder`

setDisableExplanations(boolean value)

public DeployedModel.Builder setDisableExplanations(boolean value)

If true, deploy the model without explainable feature, regardless the existence of Model.explanation_spec or explanation_spec.

bool disable_explanations = 19;

Parameter
Name	Description
`value`	`boolean` The disableExplanations 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)

If true, online prediction access logs are sent to Cloud Logging. These logs are like standard server access logs, containing information like timestamp and latency for each prediction request.

Note that 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.

setEnableContainerLogging(boolean value)

public DeployedModel.Builder setEnableContainerLogging(boolean value)

If true, the container of the DeployedModel instances will send stderr and stdout streams to Cloud Logging.

Only supported for custom-trained Models and AutoML Tabular Models.

bool enable_container_logging = 12;

Parameter
Name	Description
`value`	`boolean` The enableContainerLogging 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.

.google.cloud.aiplatform.v1beta1.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.

.google.cloud.aiplatform.v1beta1.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.

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.

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)

.google.cloud.aiplatform.v1beta1.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)

.google.cloud.aiplatform.v1beta1.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)

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)

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.

setSharedResources(String value)

public DeployedModel.Builder setSharedResources(String value)

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`String` The sharedResources to set.

Returns
Type	Description
`DeployedModel.Builder`	This builder for chaining.

setSharedResourcesBytes(ByteString value)

public DeployedModel.Builder setSharedResourcesBytes(ByteString value)

The resource name of the shared DeploymentResourcePool to deploy on. Format: projects/{project}/locations/{location}/deploymentResourcePools/{deployment_resource_pool}

string shared_resources = 17 [(.google.api.resource_reference) = { ... }

Parameter
Name	Description
`value`	`ByteString` The bytes for sharedResources 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)