Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::TunedModel.
The Model Registry Model and Online Prediction Endpoint associated with this TuningJob.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#checkpoints
def checkpoints() -> ::Array<::Google::Cloud::AIPlatform::V1::TunedModelCheckpoint>- (::Array<::Google::Cloud::AIPlatform::V1::TunedModelCheckpoint>) — Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
#endpoint
def endpoint() -> ::String-
(::String) — Output only. A resource name of an Endpoint. Format:
projects/{project}/locations/{location}/endpoints/{endpoint}.
#model
def model() -> ::String-
(::String) — Output only. The resource name of the TunedModel. Format:
projects/{project}/locations/{location}/models/{model}@{version_id}When tuning from a base model, the version ID will be 1.
For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g.,
projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}