Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::PublisherModel::CallToAction::Deploy (v0.36.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::PublisherModel::CallToAction::Deploy.

Model metadata that is needed for UploadModel or DeployModel/CreateEndpoint requests.

Inherits

Object

Extended By

Google::Protobuf::MessageExts::ClassMethods

Includes

Google::Protobuf::MessageExts

Methods

#artifact_uri

def artifact_uri() -> ::String

Returns

(::String) — Optional. The path to the directory containing the Model artifact and any of its supporting files.

#artifact_uri=

def artifact_uri=(value) -> ::String

Parameter

value (::String) — Optional. The path to the directory containing the Model artifact and any of its supporting files.

Returns

(::String) — Optional. The path to the directory containing the Model artifact and any of its supporting files.

#automatic_resources

def automatic_resources() -> ::Google::Cloud::AIPlatform::V1::AutomaticResources

Returns

(::Google::Cloud::AIPlatform::V1::AutomaticResources) — A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

#automatic_resources=

def automatic_resources=(value) -> ::Google::Cloud::AIPlatform::V1::AutomaticResources

Parameter

value (::Google::Cloud::AIPlatform::V1::AutomaticResources) — A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

Returns

(::Google::Cloud::AIPlatform::V1::AutomaticResources) — A description of resources that to large degree are decided by Vertex AI, and require only a modest additional configuration.

#container_spec

def container_spec() -> ::Google::Cloud::AIPlatform::V1::ModelContainerSpec

Returns

(::Google::Cloud::AIPlatform::V1::ModelContainerSpec) — Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.

#container_spec=

def container_spec=(value) -> ::Google::Cloud::AIPlatform::V1::ModelContainerSpec

Parameter

value (::Google::Cloud::AIPlatform::V1::ModelContainerSpec) — Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.

Returns

(::Google::Cloud::AIPlatform::V1::ModelContainerSpec) — Optional. The specification of the container that is to be used when deploying this Model in Vertex AI. Not present for Large Models.

#dedicated_resources

def dedicated_resources() -> ::Google::Cloud::AIPlatform::V1::DedicatedResources

Returns

(::Google::Cloud::AIPlatform::V1::DedicatedResources) — A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

#dedicated_resources=

def dedicated_resources=(value) -> ::Google::Cloud::AIPlatform::V1::DedicatedResources

Parameter

value (::Google::Cloud::AIPlatform::V1::DedicatedResources) — A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

Returns

(::Google::Cloud::AIPlatform::V1::DedicatedResources) — A description of resources that are dedicated to the DeployedModel, and that need a higher degree of manual configuration.

#large_model_reference

def large_model_reference() -> ::Google::Cloud::AIPlatform::V1::LargeModelReference

Returns

(::Google::Cloud::AIPlatform::V1::LargeModelReference) — Optional. Large model reference. When this is set, model_artifact_spec is not needed.

#large_model_reference=

def large_model_reference=(value) -> ::Google::Cloud::AIPlatform::V1::LargeModelReference

Parameter

value (::Google::Cloud::AIPlatform::V1::LargeModelReference) — Optional. Large model reference. When this is set, model_artifact_spec is not needed.

Returns

(::Google::Cloud::AIPlatform::V1::LargeModelReference) — Optional. Large model reference. When this is set, model_artifact_spec is not needed.

#model_display_name

def model_display_name() -> ::String

Returns

(::String) — Optional. Default model display name.

#model_display_name=

def model_display_name=(value) -> ::String

Parameter

value (::String) — Optional. Default model display name.

Returns

(::String) — Optional. Default model display name.

#public_artifact_uri

def public_artifact_uri() -> ::String

Returns

(::String) — Optional. The signed URI for ephemeral Cloud Storage access to model artifact.

#public_artifact_uri=

def public_artifact_uri=(value) -> ::String

Parameter

value (::String) — Optional. The signed URI for ephemeral Cloud Storage access to model artifact.

Returns

(::String) — Optional. The signed URI for ephemeral Cloud Storage access to model artifact.

#shared_resources

def shared_resources() -> ::String

Returns

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

#shared_resources=

def shared_resources=(value) -> ::String

Parameter

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

Returns

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

#title

def title() -> ::String

Returns

(::String) — Required. The title of the regional resource reference.

#title=

def title=(value) -> ::String

Parameter

value (::String) — Required. The title of the regional resource reference.

Returns

(::String) — Required. The title of the regional resource reference.