Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::DeployModelRequest (v0.56.0)

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

Request message for EndpointService.DeployModel.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#deployed_model

def deployed_model() -> ::Google::Cloud::AIPlatform::V1::DeployedModel

Returns

• (::Google::Cloud::AIPlatform::V1::DeployedModel) — Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

#deployed_model=

def deployed_model=(value) -> ::Google::Cloud::AIPlatform::V1::DeployedModel

Parameter

• value (::Google::Cloud::AIPlatform::V1::DeployedModel) — Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

Returns

• (::Google::Cloud::AIPlatform::V1::DeployedModel) — Required. The DeployedModel to be created within the Endpoint. Note that Endpoint.traffic_split must be updated for the DeployedModel to start receiving traffic, either as part of this call, or via EndpointService.UpdateEndpoint.

#endpoint

def endpoint() -> ::String

Returns

• (::String) — Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

#endpoint=

def endpoint=(value) -> ::String

Parameter

• value (::String) — Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

• (::String) — Required. The name of the Endpoint resource into which to deploy a Model. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

#traffic_split

def traffic_split() -> ::Google::Protobuf::Map{::String => ::Integer}

Returns

• (::Google::Protobuf::Map{::String => ::Integer}) — A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

  If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100.

  If this field is empty, then the Endpoint's traffic_split is not updated.

#traffic_split=

def traffic_split=(value) -> ::Google::Protobuf::Map{::String => ::Integer}

Parameter

• value (::Google::Protobuf::Map{::String => ::Integer}) — A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

  If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100.

  If this field is empty, then the Endpoint's traffic_split is not updated.

Returns

• (::Google::Protobuf::Map{::String => ::Integer}) — A map from a DeployedModel's ID to the percentage of this Endpoint's traffic that should be forwarded to that DeployedModel.

  If this field is non-empty, then the Endpoint's traffic_split will be overwritten with it. To refer to the ID of the just being deployed Model, a "0" should be used, and the actual ID of the new DeployedModel will be filled in its place by this method. The traffic percentage values must add up to 100.

  If this field is empty, then the Endpoint's traffic_split is not updated.