Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::RebaseTunedModelRequest (v0.58.0)

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

Request message for GenAiTuningService.RebaseTunedModel.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#artifact_destination

def artifact_destination() -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Returns

#artifact_destination=

def artifact_destination=(value) -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Parameter
Returns

#deploy_to_same_endpoint

def deploy_to_same_endpoint() -> ::Boolean
Returns
  • (::Boolean) — Optional. By default, bison to gemini migration will always create new model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default deploy to the same endpoint. See details in this Section.

#deploy_to_same_endpoint=

def deploy_to_same_endpoint=(value) -> ::Boolean
Parameter
  • value (::Boolean) — Optional. By default, bison to gemini migration will always create new model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default deploy to the same endpoint. See details in this Section.
Returns
  • (::Boolean) — Optional. By default, bison to gemini migration will always create new model/endpoint, but for gemini-1.0 to gemini-1.5 migration, we default deploy to the same endpoint. See details in this Section.

#parent

def parent() -> ::String
Returns
  • (::String) — Required. The resource name of the Location into which to rebase the Model. Format: projects/{project}/locations/{location}

#parent=

def parent=(value) -> ::String
Parameter
  • value (::String) — Required. The resource name of the Location into which to rebase the Model. Format: projects/{project}/locations/{location}
Returns
  • (::String) — Required. The resource name of the Location into which to rebase the Model. Format: projects/{project}/locations/{location}

#tuned_model_ref

def tuned_model_ref() -> ::Google::Cloud::AIPlatform::V1::TunedModelRef
Returns

#tuned_model_ref=

def tuned_model_ref=(value) -> ::Google::Cloud::AIPlatform::V1::TunedModelRef
Parameter
Returns

#tuning_job

def tuning_job() -> ::Google::Cloud::AIPlatform::V1::TuningJob
Returns

#tuning_job=

def tuning_job=(value) -> ::Google::Cloud::AIPlatform::V1::TuningJob
Parameter
Returns