Package com.google.cloud.aiplatform.v1
Class PublisherModel.CallToAction.Deploy.Builder
java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
com.google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.Builder
- All Implemented Interfaces:
PublisherModel.CallToAction.DeployOrBuilder,com.google.protobuf.Message.Builder,com.google.protobuf.MessageLite.Builder,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Cloneable
- Enclosing class:
- PublisherModel.CallToAction.Deploy
public static final class PublisherModel.CallToAction.Deploy.Builder
extends com.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
implements PublisherModel.CallToAction.DeployOrBuilder
Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.Protobuf type
google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy-
Method Summary
Modifier and TypeMethodDescriptionbuild()clear()Optional.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.Optional.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.Optional.Optional.Optional.Optional.Optional.The resource name of the shared DeploymentResourcePool to deploy on.Required.Optional.com.google.protobuf.ByteStringOptional.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.Optional.Optional.Optional.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.Optional.Optional.Optional.Optional.com.google.protobuf.ByteStringOptional.static final com.google.protobuf.Descriptors.Descriptorcom.google.protobuf.Descriptors.DescriptorOptional.Optional.Optional.Optional.com.google.protobuf.ByteStringOptional.Optional.com.google.protobuf.ByteStringOptional.The resource name of the shared DeploymentResourcePool to deploy on.com.google.protobuf.ByteStringThe resource name of the shared DeploymentResourcePool to deploy on.getTitle()Required.com.google.protobuf.ByteStringRequired.booleanA description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.booleanOptional.booleanA description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.booleanOptional.booleanOptional.booleanOptional.booleanThe resource name of the shared DeploymentResourcePool to deploy on.protected com.google.protobuf.GeneratedMessage.FieldAccessorTablefinal booleanA description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.Optional.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.Optional.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) mergeFrom(com.google.protobuf.Message other) Optional.setArtifactUri(String value) Optional.setArtifactUriBytes(com.google.protobuf.ByteString value) Optional.A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.setAutomaticResources(AutomaticResources.Builder builderForValue) A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.Optional.setContainerSpec(ModelContainerSpec.Builder builderForValue) Optional.A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.setDedicatedResources(DedicatedResources.Builder builderForValue) A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.Optional.Optional.setDeployTaskName(String value) Optional.setDeployTaskNameBytes(com.google.protobuf.ByteString value) Optional.Optional.setLargeModelReference(LargeModelReference.Builder builderForValue) Optional.setModelDisplayName(String value) Optional.setModelDisplayNameBytes(com.google.protobuf.ByteString value) Optional.setPublicArtifactUri(String value) Optional.setPublicArtifactUriBytes(com.google.protobuf.ByteString value) Optional.setSharedResources(String value) The resource name of the shared DeploymentResourcePool to deploy on.setSharedResourcesBytes(com.google.protobuf.ByteString value) The resource name of the shared DeploymentResourcePool to deploy on.Required.setTitleBytes(com.google.protobuf.ByteString value) Required.Methods inherited from class com.google.protobuf.GeneratedMessage.Builder
addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3Methods inherited from class com.google.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionMethods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.Message.Builder
mergeDelimitedFrom, mergeDelimitedFromMethods inherited from interface com.google.protobuf.MessageLite.Builder
mergeFromMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Details
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
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clear
- Specified by:
clearin interfacecom.google.protobuf.Message.Builder- Specified by:
clearin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
clearin classcom.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
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getDescriptorForType
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.Message.Builder- Specified by:
getDescriptorForTypein interfacecom.google.protobuf.MessageOrBuilder- Overrides:
getDescriptorForTypein classcom.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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build
- Specified by:
buildin interfacecom.google.protobuf.Message.Builder- Specified by:
buildin interfacecom.google.protobuf.MessageLite.Builder
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buildPartial
- Specified by:
buildPartialin interfacecom.google.protobuf.Message.Builder- Specified by:
buildPartialin interfacecom.google.protobuf.MessageLite.Builder
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mergeFrom
- Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
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mergeFrom
public PublisherModel.CallToAction.Deploy.Builder mergeFrom(PublisherModel.CallToAction.Deploy other) -
isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>
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mergeFrom
public PublisherModel.CallToAction.Deploy.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Specified by:
mergeFromin interfacecom.google.protobuf.Message.Builder- Specified by:
mergeFromin interfacecom.google.protobuf.MessageLite.Builder- Overrides:
mergeFromin classcom.google.protobuf.AbstractMessage.Builder<PublisherModel.CallToAction.Deploy.Builder>- Throws:
IOException
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getPredictionResourcesCase
- Specified by:
getPredictionResourcesCasein interfacePublisherModel.CallToAction.DeployOrBuilder
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clearPredictionResources
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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 = 5;- Specified by:
hasDedicatedResourcesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the dedicatedResources field is set.
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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 = 5;- Specified by:
getDedicatedResourcesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The dedicatedResources.
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setDedicatedResources
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 = 5; -
setDedicatedResources
public PublisherModel.CallToAction.Deploy.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 = 5; -
mergeDedicatedResources
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 = 5; -
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 = 5; -
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 = 5; -
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 = 5;- Specified by:
getDedicatedResourcesOrBuilderin interfacePublisherModel.CallToAction.DeployOrBuilder
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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 = 6;- Specified by:
hasAutomaticResourcesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the automaticResources field is set.
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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 = 6;- Specified by:
getAutomaticResourcesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The automaticResources.
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setAutomaticResources
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 = 6; -
setAutomaticResources
public PublisherModel.CallToAction.Deploy.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 = 6; -
mergeAutomaticResources
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 = 6; -
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 = 6; -
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 = 6; -
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 = 6;- Specified by:
getAutomaticResourcesOrBuilderin interfacePublisherModel.CallToAction.DeployOrBuilder
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getModelDisplayName
Optional. Default model display name.
string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getModelDisplayNamein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The modelDisplayName.
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getModelDisplayNameBytes
public com.google.protobuf.ByteString getModelDisplayNameBytes()Optional. Default model display name.
string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getModelDisplayNameBytesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The bytes for modelDisplayName.
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setModelDisplayName
Optional. Default model display name.
string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The modelDisplayName to set.- Returns:
- This builder for chaining.
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clearModelDisplayName
Optional. Default model display name.
string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- This builder for chaining.
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setModelDisplayNameBytes
public PublisherModel.CallToAction.Deploy.Builder setModelDisplayNameBytes(com.google.protobuf.ByteString value) Optional. Default model display name.
string model_display_name = 1 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The bytes for modelDisplayName to set.- Returns:
- This builder for chaining.
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hasLargeModelReference
public boolean hasLargeModelReference()Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
hasLargeModelReferencein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the largeModelReference field is set.
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getLargeModelReference
Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getLargeModelReferencein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The largeModelReference.
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setLargeModelReference
Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL]; -
setLargeModelReference
public PublisherModel.CallToAction.Deploy.Builder setLargeModelReference(LargeModelReference.Builder builderForValue) Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL]; -
mergeLargeModelReference
public PublisherModel.CallToAction.Deploy.Builder mergeLargeModelReference(LargeModelReference value) Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL]; -
clearLargeModelReference
Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL]; -
getLargeModelReferenceBuilder
Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL]; -
getLargeModelReferenceOrBuilder
Optional. Large model reference. When this is set, model_artifact_spec is not needed.
.google.cloud.aiplatform.v1.LargeModelReference large_model_reference = 2 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getLargeModelReferenceOrBuilderin interfacePublisherModel.CallToAction.DeployOrBuilder
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hasContainerSpec
public boolean hasContainerSpec()Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
hasContainerSpecin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the containerSpec field is set.
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getContainerSpec
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getContainerSpecin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The containerSpec.
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setContainerSpec
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL]; -
setContainerSpec
public PublisherModel.CallToAction.Deploy.Builder setContainerSpec(ModelContainerSpec.Builder builderForValue) Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL]; -
mergeContainerSpec
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL]; -
clearContainerSpec
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL]; -
getContainerSpecBuilder
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL]; -
getContainerSpecOrBuilder
Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.
.google.cloud.aiplatform.v1.ModelContainerSpec container_spec = 3 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getContainerSpecOrBuilderin interfacePublisherModel.CallToAction.DeployOrBuilder
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getArtifactUri
Optional. The path to the directory containing the Model artifact and any of its supporting files.
string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getArtifactUriin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The artifactUri.
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getArtifactUriBytes
public com.google.protobuf.ByteString getArtifactUriBytes()Optional. The path to the directory containing the Model artifact and any of its supporting files.
string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getArtifactUriBytesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The bytes for artifactUri.
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setArtifactUri
Optional. The path to the directory containing the Model artifact and any of its supporting files.
string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The artifactUri to set.- Returns:
- This builder for chaining.
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clearArtifactUri
Optional. The path to the directory containing the Model artifact and any of its supporting files.
string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- This builder for chaining.
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setArtifactUriBytes
public PublisherModel.CallToAction.Deploy.Builder setArtifactUriBytes(com.google.protobuf.ByteString value) Optional. The path to the directory containing the Model artifact and any of its supporting files.
string artifact_uri = 4 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The bytes for artifactUri to set.- Returns:
- This builder for chaining.
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hasDeployTaskName
public boolean hasDeployTaskName()Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
hasDeployTaskNamein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the deployTaskName field is set.
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getDeployTaskName
Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getDeployTaskNamein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The deployTaskName.
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getDeployTaskNameBytes
public com.google.protobuf.ByteString getDeployTaskNameBytes()Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getDeployTaskNameBytesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The bytes for deployTaskName.
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setDeployTaskName
Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The deployTaskName to set.- Returns:
- This builder for chaining.
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clearDeployTaskName
Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- This builder for chaining.
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setDeployTaskNameBytes
public PublisherModel.CallToAction.Deploy.Builder setDeployTaskNameBytes(com.google.protobuf.ByteString value) Optional. The name of the deploy task (e.g., "text to image generation").
optional string deploy_task_name = 10 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The bytes for deployTaskName to set.- Returns:
- This builder for chaining.
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hasDeployMetadata
public boolean hasDeployMetadata()Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
hasDeployMetadatain interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- Whether the deployMetadata field is set.
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getDeployMetadata
Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getDeployMetadatain interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The deployMetadata.
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setDeployMetadata
public PublisherModel.CallToAction.Deploy.Builder setDeployMetadata(PublisherModel.CallToAction.Deploy.DeployMetadata value) Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL]; -
setDeployMetadata
public PublisherModel.CallToAction.Deploy.Builder setDeployMetadata(PublisherModel.CallToAction.Deploy.DeployMetadata.Builder builderForValue) Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL]; -
mergeDeployMetadata
public PublisherModel.CallToAction.Deploy.Builder mergeDeployMetadata(PublisherModel.CallToAction.Deploy.DeployMetadata value) Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL]; -
clearDeployMetadata
Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL]; -
getDeployMetadataBuilder
Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL]; -
getDeployMetadataOrBuilder
Optional. Metadata information about this deployment config.
optional .google.cloud.aiplatform.v1.PublisherModel.CallToAction.Deploy.DeployMetadata deploy_metadata = 11 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getDeployMetadataOrBuilderin interfacePublisherModel.CallToAction.DeployOrBuilder
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getTitle
Required. The title of the regional resource reference.
string title = 8 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getTitlein interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The title.
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getTitleBytes
public com.google.protobuf.ByteString getTitleBytes()Required. The title of the regional resource reference.
string title = 8 [(.google.api.field_behavior) = REQUIRED];- Specified by:
getTitleBytesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The bytes for title.
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setTitle
Required. The title of the regional resource reference.
string title = 8 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The title to set.- Returns:
- This builder for chaining.
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clearTitle
Required. The title of the regional resource reference.
string title = 8 [(.google.api.field_behavior) = REQUIRED];- Returns:
- This builder for chaining.
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setTitleBytes
public PublisherModel.CallToAction.Deploy.Builder setTitleBytes(com.google.protobuf.ByteString value) Required. The title of the regional resource reference.
string title = 8 [(.google.api.field_behavior) = REQUIRED];- Parameters:
value- The bytes for title to set.- Returns:
- This builder for chaining.
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getPublicArtifactUri
Optional. The signed URI for ephemeral Cloud Storage access to model artifact.
string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getPublicArtifactUriin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The publicArtifactUri.
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getPublicArtifactUriBytes
public com.google.protobuf.ByteString getPublicArtifactUriBytes()Optional. The signed URI for ephemeral Cloud Storage access to model artifact.
string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];- Specified by:
getPublicArtifactUriBytesin interfacePublisherModel.CallToAction.DeployOrBuilder- Returns:
- The bytes for publicArtifactUri.
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setPublicArtifactUri
Optional. The signed URI for ephemeral Cloud Storage access to model artifact.
string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The publicArtifactUri to set.- Returns:
- This builder for chaining.
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clearPublicArtifactUri
Optional. The signed URI for ephemeral Cloud Storage access to model artifact.
string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];- Returns:
- This builder for chaining.
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setPublicArtifactUriBytes
public PublisherModel.CallToAction.Deploy.Builder setPublicArtifactUriBytes(com.google.protobuf.ByteString value) Optional. The signed URI for ephemeral Cloud Storage access to model artifact.
string public_artifact_uri = 9 [(.google.api.field_behavior) = OPTIONAL];- Parameters:
value- The bytes for publicArtifactUri to set.- Returns:
- This builder for chaining.
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