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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
- (::Google::Cloud::AIPlatform::V1::GcsDestination) — Optional. The Google Cloud Storage location to write the artifacts.
#artifact_destination=
def artifact_destination=(value) -> ::Google::Cloud::AIPlatform::V1::GcsDestination
Parameter
- value (::Google::Cloud::AIPlatform::V1::GcsDestination) — Optional. The Google Cloud Storage location to write the artifacts.
Returns
- (::Google::Cloud::AIPlatform::V1::GcsDestination) — Optional. The Google Cloud Storage location to write the artifacts.
#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
- (::Google::Cloud::AIPlatform::V1::TunedModelRef) — Required. TunedModel reference to retrieve the legacy model information.
#tuned_model_ref=
def tuned_model_ref=(value) -> ::Google::Cloud::AIPlatform::V1::TunedModelRef
Parameter
- value (::Google::Cloud::AIPlatform::V1::TunedModelRef) — Required. TunedModel reference to retrieve the legacy model information.
Returns
- (::Google::Cloud::AIPlatform::V1::TunedModelRef) — Required. TunedModel reference to retrieve the legacy model information.
#tuning_job
def tuning_job() -> ::Google::Cloud::AIPlatform::V1::TuningJob
Returns
- (::Google::Cloud::AIPlatform::V1::TuningJob) — Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.
#tuning_job=
def tuning_job=(value) -> ::Google::Cloud::AIPlatform::V1::TuningJob
Parameter
- value (::Google::Cloud::AIPlatform::V1::TuningJob) — Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.
Returns
- (::Google::Cloud::AIPlatform::V1::TuningJob) — Optional. The TuningJob to be updated. Users can use this TuningJob field to overwrite tuning configs.