com.google.cloud.aiplatform.v1

Class DeployedModel.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

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

com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

com.google.cloud.aiplatform.v1.DeployedModel.Builder

All Implemented Interfaces:

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

Enclosing class:

DeployedModel

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

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

Protobuf type google.cloud.aiplatform.v1.DeployedModel

Method Summary

Modifier and Type	Method and Description
DeployedModel.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
DeployedModel	build()
DeployedModel	buildPartial()
DeployedModel.Builder	clear()
DeployedModel.Builder	clearAutomaticResources() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
DeployedModel.Builder	clearCreateTime() Output only.
DeployedModel.Builder	clearDedicatedResources() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DeployedModel.Builder	clearDisableContainerLogging() For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default.
DeployedModel.Builder	clearDisplayName() The display name of the DeployedModel.
DeployedModel.Builder	clearEnableAccessLogging() If true, online prediction access logs are sent to Cloud Logging.
DeployedModel.Builder	clearExplanationSpec() Explanation configuration for this DeployedModel.
DeployedModel.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
DeployedModel.Builder	clearId() Immutable.
DeployedModel.Builder	clearModel() Required.
DeployedModel.Builder	clearModelVersionId() Output only.
DeployedModel.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
DeployedModel.Builder	clearPredictionResources()
DeployedModel.Builder	clearPrivateEndpoints() Output only.
DeployedModel.Builder	clearServiceAccount() The service account that the DeployedModel's container runs as.
DeployedModel.Builder	clone()
AutomaticResources	getAutomaticResources() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
AutomaticResources.Builder	getAutomaticResourcesBuilder() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
AutomaticResourcesOrBuilder	getAutomaticResourcesOrBuilder() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
com.google.protobuf.Timestamp	getCreateTime() Output only.
com.google.protobuf.Timestamp.Builder	getCreateTimeBuilder() Output only.
com.google.protobuf.TimestampOrBuilder	getCreateTimeOrBuilder() Output only.
DedicatedResources	getDedicatedResources() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DedicatedResources.Builder	getDedicatedResourcesBuilder() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DedicatedResourcesOrBuilder	getDedicatedResourcesOrBuilder() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DeployedModel	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
boolean	getDisableContainerLogging() For custom-trained Models and AutoML Tabular Models, the container of the DeployedModel instances will send `stderr` and `stdout` streams to Cloud Logging by default.
String	getDisplayName() The display name of the DeployedModel.
com.google.protobuf.ByteString	getDisplayNameBytes() The display name of the DeployedModel.
boolean	getEnableAccessLogging() If true, online prediction access logs are sent to Cloud Logging.
ExplanationSpec	getExplanationSpec() Explanation configuration for this DeployedModel.
ExplanationSpec.Builder	getExplanationSpecBuilder() Explanation configuration for this DeployedModel.
ExplanationSpecOrBuilder	getExplanationSpecOrBuilder() Explanation configuration for this DeployedModel.
String	getId() Immutable.
com.google.protobuf.ByteString	getIdBytes() Immutable.
String	getModel() Required.
com.google.protobuf.ByteString	getModelBytes() Required.
String	getModelVersionId() Output only.
com.google.protobuf.ByteString	getModelVersionIdBytes() Output only.
DeployedModel.PredictionResourcesCase	getPredictionResourcesCase()
PrivateEndpoints	getPrivateEndpoints() Output only.
PrivateEndpoints.Builder	getPrivateEndpointsBuilder() Output only.
PrivateEndpointsOrBuilder	getPrivateEndpointsOrBuilder() Output only.
String	getServiceAccount() The service account that the DeployedModel's container runs as.
com.google.protobuf.ByteString	getServiceAccountBytes() The service account that the DeployedModel's container runs as.
boolean	hasAutomaticResources() A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.
boolean	hasCreateTime() Output only.
boolean	hasDedicatedResources() A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
boolean	hasExplanationSpec() Explanation configuration for this DeployedModel.
boolean	hasPrivateEndpoints() Output only.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
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.
DeployedModel.Builder	mergeCreateTime(com.google.protobuf.Timestamp value) Output only.
DeployedModel.Builder	mergeDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
DeployedModel.Builder	mergeExplanationSpec(ExplanationSpec value) Explanation configuration for this DeployedModel.
DeployedModel.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
DeployedModel.Builder	mergeFrom(DeployedModel other)
DeployedModel.Builder	mergeFrom(com.google.protobuf.Message other)
DeployedModel.Builder	mergePrivateEndpoints(PrivateEndpoints value) Output only.
DeployedModel.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
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.
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.
DeployedModel.Builder	setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue) Output only.
DeployedModel.Builder	setCreateTime(com.google.protobuf.Timestamp value) Output only.
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.
DeployedModel.Builder	setDedicatedResources(DedicatedResources value) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.
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 Cloud Logging by default.
DeployedModel.Builder	setDisplayName(String value) The display name of the DeployedModel.
DeployedModel.Builder	setDisplayNameBytes(com.google.protobuf.ByteString value) The display name of the DeployedModel.
DeployedModel.Builder	setEnableAccessLogging(boolean value) If true, online prediction access logs are sent to Cloud Logging.
DeployedModel.Builder	setExplanationSpec(ExplanationSpec.Builder builderForValue) Explanation configuration for this DeployedModel.
DeployedModel.Builder	setExplanationSpec(ExplanationSpec value) Explanation configuration for this DeployedModel.
DeployedModel.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
DeployedModel.Builder	setId(String value) Immutable.
DeployedModel.Builder	setIdBytes(com.google.protobuf.ByteString value) Immutable.
DeployedModel.Builder	setModel(String value) Required.
DeployedModel.Builder	setModelBytes(com.google.protobuf.ByteString value) Required.
DeployedModel.Builder	setModelVersionId(String value) Output only.
DeployedModel.Builder	setModelVersionIdBytes(com.google.protobuf.ByteString value) Output only.
DeployedModel.Builder	setPrivateEndpoints(PrivateEndpoints.Builder builderForValue) Output only.
DeployedModel.Builder	setPrivateEndpoints(PrivateEndpoints value) Output only.
DeployedModel.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
DeployedModel.Builder	setServiceAccount(String value) The service account that the DeployedModel's container runs as.
DeployedModel.Builder	setServiceAccountBytes(com.google.protobuf.ByteString value) The service account that the DeployedModel's container runs as.
DeployedModel.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

clear

public DeployedModel.Builder clear()

Specified by:

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

Specified by:

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

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

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

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

getDefaultInstanceForType

public DeployedModel getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public DeployedModel build()

Specified by:

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

Specified by:

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

buildPartial

public DeployedModel buildPartial()

Specified by:

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

Specified by:

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

clone

public DeployedModel.Builder clone()

Specified by:

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

Specified by:

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

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

setField

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

Specified by:

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

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

clearField

public DeployedModel.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

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

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

clearOneof

public DeployedModel.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

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

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

setRepeatedField

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

Specified by:

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

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

addRepeatedField

public DeployedModel.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                              Object value)

Specified by:

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

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

mergeFrom

public DeployedModel.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

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

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<DeployedModel.Builder>

mergeFrom

public DeployedModel.Builder mergeFrom(DeployedModel other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

mergeFrom

public DeployedModel.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                       com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                throws IOException

Specified by:

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

Specified by:

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

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<DeployedModel.Builder>

Throws:

IOException

getPredictionResourcesCase

public DeployedModel.PredictionResourcesCase getPredictionResourcesCase()

Specified by:

getPredictionResourcesCase in interface DeployedModelOrBuilder

clearPredictionResources

public DeployedModel.Builder clearPredictionResources()

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;

Specified by:

hasDedicatedResources in interface DeployedModelOrBuilder

Returns:

Whether the dedicatedResources field is set.

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;

Specified by:

getDedicatedResources in interface DeployedModelOrBuilder

Returns:

The dedicatedResources.

setDedicatedResources

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;

setDedicatedResources

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;

mergeDedicatedResources

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;

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;

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;

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;

Specified by:

getDedicatedResourcesOrBuilder in interface DeployedModelOrBuilder

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;

Specified by:

hasAutomaticResources in interface DeployedModelOrBuilder

Returns:

Whether the automaticResources field is set.

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;

Specified by:

getAutomaticResources in interface DeployedModelOrBuilder

Returns:

The automaticResources.

setAutomaticResources

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;

setAutomaticResources

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;

mergeAutomaticResources

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;

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;

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;

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;

Specified by:

getAutomaticResourcesOrBuilder in interface DeployedModelOrBuilder

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];

Specified by:

getId in interface DeployedModelOrBuilder

Returns:

The id.

getIdBytes

public com.google.protobuf.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];

Specified by:

getIdBytes in interface DeployedModelOrBuilder

Returns:

The bytes for id.

setId

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];

Parameters:

value - The id to set.

Returns:

This builder for chaining.

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:

This builder for chaining.

setIdBytes

public DeployedModel.Builder setIdBytes(com.google.protobuf.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];

Parameters:

value - The bytes for id to set.

Returns:

This builder for chaining.

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.
  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) = { ... }

Specified by:

getModel in interface DeployedModelOrBuilder

Returns:

The model.

getModelBytes

public com.google.protobuf.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.
  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) = { ... }

Specified by:

getModelBytes in interface DeployedModelOrBuilder

Returns:

The bytes for model.

setModel

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.
  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) = { ... }

Parameters:

value - The model to set.

Returns:

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:

This builder for chaining.

setModelBytes

public DeployedModel.Builder setModelBytes(com.google.protobuf.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.
  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) = { ... }

Parameters:

value - The bytes for model to set.

Returns:

This builder for chaining.

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];

Specified by:

getModelVersionId in interface DeployedModelOrBuilder

Returns:

The modelVersionId.

getModelVersionIdBytes

public com.google.protobuf.ByteString getModelVersionIdBytes()

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

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

Specified by:

getModelVersionIdBytes in interface DeployedModelOrBuilder

Returns:

The bytes for modelVersionId.

setModelVersionId

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];

Parameters:

value - The modelVersionId to set.

Returns:

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:

This builder for chaining.

setModelVersionIdBytes

public DeployedModel.Builder setModelVersionIdBytes(com.google.protobuf.ByteString value)

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

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

Parameters:

value - The bytes for modelVersionId to set.

Returns:

This builder for chaining.

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;

Specified by:

getDisplayName in interface DeployedModelOrBuilder

Returns:

The displayName.

getDisplayNameBytes

public com.google.protobuf.ByteString getDisplayNameBytes()

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

string display_name = 3;

Specified by:

getDisplayNameBytes in interface DeployedModelOrBuilder

Returns:

The bytes for displayName.

setDisplayName

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;

Parameters:

value - The displayName to set.

Returns:

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:

This builder for chaining.

setDisplayNameBytes

public DeployedModel.Builder setDisplayNameBytes(com.google.protobuf.ByteString value)

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

string display_name = 3;

Parameters:

value - The bytes for displayName to set.

Returns:

This builder for chaining.

hasCreateTime

public boolean hasCreateTime()

 Output only. Timestamp when the DeployedModel was created.
 

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

Specified by:

hasCreateTime in interface DeployedModelOrBuilder

Returns:

Whether the createTime field is set.

getCreateTime

public com.google.protobuf.Timestamp getCreateTime()

 Output only. Timestamp when the DeployedModel was created.
 

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

Specified by:

getCreateTime in interface DeployedModelOrBuilder

Returns:

The createTime.

setCreateTime

public DeployedModel.Builder setCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when the DeployedModel was created.
 

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

setCreateTime

public DeployedModel.Builder setCreateTime(com.google.protobuf.Timestamp.Builder builderForValue)

 Output only. Timestamp when the DeployedModel was created.
 

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

mergeCreateTime

public DeployedModel.Builder mergeCreateTime(com.google.protobuf.Timestamp value)

 Output only. Timestamp when the DeployedModel was created.
 

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

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];

getCreateTimeBuilder

public com.google.protobuf.Timestamp.Builder getCreateTimeBuilder()

 Output only. Timestamp when the DeployedModel was created.
 

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

getCreateTimeOrBuilder

public com.google.protobuf.TimestampOrBuilder getCreateTimeOrBuilder()

 Output only. Timestamp when the DeployedModel was created.
 

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

Specified by:

getCreateTimeOrBuilder in interface DeployedModelOrBuilder

hasExplanationSpec

public boolean hasExplanationSpec()

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

Specified by:

hasExplanationSpec in interface DeployedModelOrBuilder

Returns:

Whether the explanationSpec field is set.

getExplanationSpec

public ExplanationSpec getExplanationSpec()

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

Specified by:

getExplanationSpec in interface DeployedModelOrBuilder

Returns:

The explanationSpec.

setExplanationSpec

public DeployedModel.Builder setExplanationSpec(ExplanationSpec value)

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

setExplanationSpec

public DeployedModel.Builder setExplanationSpec(ExplanationSpec.Builder builderForValue)

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

mergeExplanationSpec

public DeployedModel.Builder mergeExplanationSpec(ExplanationSpec value)

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

clearExplanationSpec

public DeployedModel.Builder clearExplanationSpec()

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

getExplanationSpecBuilder

public ExplanationSpec.Builder getExplanationSpecBuilder()

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

getExplanationSpecOrBuilder

public ExplanationSpecOrBuilder getExplanationSpecOrBuilder()

 Explanation configuration for this DeployedModel.

 When deploying a Model using
 [EndpointService.DeployModel][google.cloud.aiplatform.v1.EndpointService.DeployModel],
 this value overrides the value of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec].
 All fields of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 are optional in the request. If a field of
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 is not populated, the value of the same field of
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is inherited. If the corresponding
 [Model.explanation_spec][google.cloud.aiplatform.v1.Model.explanation_spec]
 is not populated, all fields of the
 [explanation_spec][google.cloud.aiplatform.v1.DeployedModel.explanation_spec]
 will be used for the explanation configuration.
 

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

Specified by:

getExplanationSpecOrBuilder in interface DeployedModelOrBuilder

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;

Specified by:

getServiceAccount in interface DeployedModelOrBuilder

Returns:

The serviceAccount.

getServiceAccountBytes

public com.google.protobuf.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;

Specified by:

getServiceAccountBytes in interface DeployedModelOrBuilder

Returns:

The bytes for serviceAccount.

setServiceAccount

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;

Parameters:

value - The serviceAccount to set.

Returns:

This builder for chaining.

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:

This builder for chaining.

setServiceAccountBytes

public DeployedModel.Builder setServiceAccountBytes(com.google.protobuf.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;

Parameters:

value - The bytes for serviceAccount to set.

Returns:

This builder for chaining.

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
 Cloud Logging by default. Please note that the logs incur cost,
 which are subject to [Cloud Logging
 pricing](https://cloud.google.com/logging/pricing).

 User can disable container logging by setting this flag to true.
 

bool disable_container_logging = 15;

Specified by:

getDisableContainerLogging in interface DeployedModelOrBuilder

Returns:

The disableContainerLogging.

setDisableContainerLogging

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
 Cloud Logging by default. Please note that the logs incur cost,
 which are subject to [Cloud Logging
 pricing](https://cloud.google.com/logging/pricing).

 User can disable container logging by setting this flag to true.
 

bool disable_container_logging = 15;

Parameters:

value - The disableContainerLogging to set.

Returns:

This builder for chaining.

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
 Cloud Logging by default. Please note that the logs incur cost,
 which are subject to [Cloud Logging
 pricing](https://cloud.google.com/logging/pricing).

 User can disable container logging by setting this flag to true.
 

bool disable_container_logging = 15;

Returns:

This builder for chaining.

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;

Specified by:

getEnableAccessLogging in interface DeployedModelOrBuilder

Returns:

The enableAccessLogging.

setEnableAccessLogging

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;

Parameters:

value - The enableAccessLogging to set.

Returns:

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:

This builder for chaining.

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

Specified by:

hasPrivateEndpoints in interface DeployedModelOrBuilder

Returns:

Whether the privateEndpoints field is set.

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

Specified by:

getPrivateEndpoints in interface DeployedModelOrBuilder

Returns:

The privateEndpoints.

setPrivateEndpoints

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

setPrivateEndpoints

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

mergePrivateEndpoints

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

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][google.cloud.aiplatform.v1.Endpoint.network] is configured.
 

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

Specified by:

getPrivateEndpointsOrBuilder in interface DeployedModelOrBuilder

setUnknownFields

public final DeployedModel.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

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

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>

mergeUnknownFields

public final DeployedModel.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

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

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<DeployedModel.Builder>