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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::TuningJob.
Represents a TuningJob that runs with Google owned models.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#base_model
def base_model() -> ::String
- (::String) — The base model that is being tuned, e.g., "gemini-1.0-pro-002".
#base_model=
def base_model=(value) -> ::String
- value (::String) — The base model that is being tuned, e.g., "gemini-1.0-pro-002".
- (::String) — The base model that is being tuned, e.g., "gemini-1.0-pro-002".
#create_time
def create_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Time when the TuningJob was created.
#description
def description() -> ::String
- (::String) — Optional. The description of the TuningJob.
#description=
def description=(value) -> ::String
- value (::String) — Optional. The description of the TuningJob.
- (::String) — Optional. The description of the TuningJob.
#encryption_spec
def encryption_spec() -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.
#encryption_spec=
def encryption_spec=(value) -> ::Google::Cloud::AIPlatform::V1::EncryptionSpec
- value (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.
- (::Google::Cloud::AIPlatform::V1::EncryptionSpec) — Customer-managed encryption key options for a TuningJob. If this is set, then all resources created by the TuningJob will be encrypted with the provided encryption key.
#end_time
def end_time() -> ::Google::Protobuf::Timestamp
-
(::Google::Protobuf::Timestamp) — Output only. Time when the TuningJob entered any of the following
JobStates:
JOB_STATE_SUCCEEDED
,JOB_STATE_FAILED
,JOB_STATE_CANCELLED
,JOB_STATE_EXPIRED
.
#error
def error() -> ::Google::Rpc::Status
-
(::Google::Rpc::Status) — Output only. Only populated when job's state is
JOB_STATE_FAILED
orJOB_STATE_CANCELLED
.
#experiment
def experiment() -> ::String
- (::String) — Output only. The Experiment associated with this TuningJob.
#labels
def labels() -> ::Google::Protobuf::Map{::String => ::String}
-
(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize
TuningJob and generated resources
such as Model and
Endpoint.
Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.
See https://goo.gl/xmQnxf for more information and examples of labels.
#labels=
def labels=(value) -> ::Google::Protobuf::Map{::String => ::String}
-
value (::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize
TuningJob and generated resources
such as Model and
Endpoint.
Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.
See https://goo.gl/xmQnxf for more information and examples of labels.
-
(::Google::Protobuf::Map{::String => ::String}) — Optional. The labels with user-defined metadata to organize
TuningJob and generated resources
such as Model and
Endpoint.
Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed.
See https://goo.gl/xmQnxf for more information and examples of labels.
#name
def name() -> ::String
-
(::String) — Output only. Identifier. Resource name of a TuningJob. Format:
projects/{project}/locations/{location}/tuningJobs/{tuning_job}
#start_time
def start_time() -> ::Google::Protobuf::Timestamp
-
(::Google::Protobuf::Timestamp) — Output only. Time when the
TuningJob for the first time
entered the
JOB_STATE_RUNNING
state.
#state
def state() -> ::Google::Cloud::AIPlatform::V1::JobState
- (::Google::Cloud::AIPlatform::V1::JobState) — Output only. The detailed state of the job.
#supervised_tuning_spec
def supervised_tuning_spec() -> ::Google::Cloud::AIPlatform::V1::SupervisedTuningSpec
- (::Google::Cloud::AIPlatform::V1::SupervisedTuningSpec) — Tuning Spec for Supervised Fine Tuning.
#supervised_tuning_spec=
def supervised_tuning_spec=(value) -> ::Google::Cloud::AIPlatform::V1::SupervisedTuningSpec
- value (::Google::Cloud::AIPlatform::V1::SupervisedTuningSpec) — Tuning Spec for Supervised Fine Tuning.
- (::Google::Cloud::AIPlatform::V1::SupervisedTuningSpec) — Tuning Spec for Supervised Fine Tuning.
#tuned_model
def tuned_model() -> ::Google::Cloud::AIPlatform::V1::TunedModel
- (::Google::Cloud::AIPlatform::V1::TunedModel) — Output only. The tuned model resources assiociated with this TuningJob.
#tuned_model_display_name
def tuned_model_display_name() -> ::String
- (::String) — Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.
#tuned_model_display_name=
def tuned_model_display_name=(value) -> ::String
- value (::String) — Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.
- (::String) — Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters.
#tuning_data_stats
def tuning_data_stats() -> ::Google::Cloud::AIPlatform::V1::TuningDataStats
- (::Google::Cloud::AIPlatform::V1::TuningDataStats) — Output only. The tuning data statistics associated with this TuningJob.
#update_time
def update_time() -> ::Google::Protobuf::Timestamp
- (::Google::Protobuf::Timestamp) — Output only. Time when the TuningJob was most recently updated.