Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TuningJob
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TuningJob
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb
Overview
Represents a TuningJob that runs with Google owned models.
Instance Attribute Summary collapse
-
#base_model ⇒ String
The base model that is being tuned, e.g., "gemini-1.0-pro-002".
-
#create_time ⇒ String
Output only.
-
#description ⇒ String
Optional.
-
#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top- level resource.
-
#end_time ⇒ String
Output only.
-
#error ⇒ Google::Apis::AiplatformV1::GoogleRpcStatus
The
Statustype defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. -
#experiment ⇒ String
Output only.
-
#labels ⇒ Hash<String,String>
Optional.
-
#name ⇒ String
Output only.
-
#start_time ⇒ String
Output only.
-
#state ⇒ String
Output only.
-
#supervised_tuning_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SupervisedTuningSpec
Tuning Spec for Supervised Tuning for first party models.
-
#tuned_model ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TunedModel
The Model Registry Model and Online Prediction Endpoint assiociated with this TuningJob.
-
#tuned_model_display_name ⇒ String
Optional.
-
#tuning_data_stats ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TuningDataStats
The tuning data statistic values for TuningJob.
-
#update_time ⇒ String
Output only.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1TuningJob
constructor
A new instance of GoogleCloudAiplatformV1TuningJob.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1TuningJob
Returns a new instance of GoogleCloudAiplatformV1TuningJob.
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32600 def initialize(**args) update!(**args) end |
Instance Attribute Details
#base_model ⇒ String
The base model that is being tuned, e.g., "gemini-1.0-pro-002".
Corresponds to the JSON property baseModel
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32506 def base_model @base_model end |
#create_time ⇒ String
Output only. Time when the TuningJob was created.
Corresponds to the JSON property createTime
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32511 def create_time @create_time end |
#description ⇒ String
Optional. The description of the TuningJob.
Corresponds to the JSON property description
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32516 def description @description end |
#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec
Represents a customer-managed encryption key spec that can be applied to a top-
level resource.
Corresponds to the JSON property encryptionSpec
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32522 def encryption_spec @encryption_spec end |
#end_time ⇒ String
Output only. Time when the TuningJob entered any of the following JobStates:
JOB_STATE_SUCCEEDED, JOB_STATE_FAILED, JOB_STATE_CANCELLED,
JOB_STATE_EXPIRED.
Corresponds to the JSON property endTime
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32529 def end_time @end_time end |
#error ⇒ Google::Apis::AiplatformV1::GoogleRpcStatus
The Status type defines a logical error model that is suitable for different
programming environments, including REST APIs and RPC APIs. It is used by
gRPC. Each Status message contains three pieces of
data: error code, error message, and error details. You can find out more
about this error model and how to work with it in the API Design Guide.
Corresponds to the JSON property error
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32539 def error @error end |
#experiment ⇒ String
Output only. The Experiment associated with this TuningJob.
Corresponds to the JSON property experiment
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32544 def experiment @experiment end |
#labels ⇒ Hash<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.
Corresponds to the JSON property labels
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32554 def labels @labels end |
#name ⇒ String
Output only. Identifier. Resource name of a TuningJob. Format: projects/
project/locations/location/tuningJobs/tuning_job`
Corresponds to the JSON propertyname`
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32560 def name @name end |
#start_time ⇒ String
Output only. Time when the TuningJob for the first time entered the
JOB_STATE_RUNNING state.
Corresponds to the JSON property startTime
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32566 def start_time @start_time end |
#state ⇒ String
Output only. The detailed state of the job.
Corresponds to the JSON property state
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32571 def state @state end |
#supervised_tuning_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1SupervisedTuningSpec
Tuning Spec for Supervised Tuning for first party models.
Corresponds to the JSON property supervisedTuningSpec
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32576 def supervised_tuning_spec @supervised_tuning_spec end |
#tuned_model ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TunedModel
The Model Registry Model and Online Prediction Endpoint assiociated with this
TuningJob.
Corresponds to the JSON property tunedModel
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32582 def tuned_model @tuned_model end |
#tuned_model_display_name ⇒ 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.
Corresponds to the JSON property tunedModelDisplayName
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32588 def tuned_model_display_name @tuned_model_display_name end |
#tuning_data_stats ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1TuningDataStats
The tuning data statistic values for TuningJob.
Corresponds to the JSON property tuningDataStats
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32593 def tuning_data_stats @tuning_data_stats end |
#update_time ⇒ String
Output only. Time when the TuningJob was most recently updated.
Corresponds to the JSON property updateTime
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32598 def update_time @update_time end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 32605 def update!(**args) @base_model = args[:base_model] if args.key?(:base_model) @create_time = args[:create_time] if args.key?(:create_time) @description = args[:description] if args.key?(:description) @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec) @end_time = args[:end_time] if args.key?(:end_time) @error = args[:error] if args.key?(:error) @experiment = args[:experiment] if args.key?(:experiment) @labels = args[:labels] if args.key?(:labels) @name = args[:name] if args.key?(:name) @start_time = args[:start_time] if args.key?(:start_time) @state = args[:state] if args.key?(:state) @supervised_tuning_spec = args[:supervised_tuning_spec] if args.key?(:supervised_tuning_spec) @tuned_model = args[:tuned_model] if args.key?(:tuned_model) @tuned_model_display_name = args[:tuned_model_display_name] if args.key?(:tuned_model_display_name) @tuning_data_stats = args[:tuning_data_stats] if args.key?(:tuning_data_stats) @update_time = args[:update_time] if args.key?(:update_time) end |