Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TuningJob

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb

Overview

Represents a TuningJob that runs with Google owned models.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1TuningJob

Returns a new instance of GoogleCloudAiplatformV1beta1TuningJob.



65417
65418
65419
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65417

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#base_model ⇒ String

The base model that is being tuned. See Supported models. Corresponds to the JSON property baseModel

Returns:

  • (String) 


65220
65221
65222
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65220

def base_model
  @base_model
end

#create_time ⇒ String

Output only. Time when the TuningJob was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


65225
65226
65227
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65225

def create_time
  @create_time
end

#custom_base_model ⇒ String

Optional. The user-provided path to custom model weights. Set this field to tune a custom model. The path must be a Cloud Storage directory that contains the model weights in .safetensors format along with associated model metadata files. If this field is set, the base_model field must still be set to indicate which base model the custom model is derived from. This feature is only available for open source models. Corresponds to the JSON property customBaseModel

Returns:

  • (String) 


65235
65236
65237
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65235

def custom_base_model
  @custom_base_model
end

#description ⇒ String

Optional. The description of the TuningJob. Corresponds to the JSON property description

Returns:

  • (String) 


65240
65241
65242
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65240

def description
  @description
end

#distillation_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DistillationSpec

Tuning Spec for Distillation. Corresponds to the JSON property distillationSpec

Returns:



65245
65246
65247
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65245

def distillation_spec
  @distillation_spec
end

#encryption_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EncryptionSpec

Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. Corresponds to the JSON property encryptionSpec

Returns:



65251
65252
65253
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65251

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

Returns:

  • (String) 


65258
65259
65260
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65258

def end_time
  @end_time
end

#error ⇒ Google::Apis::AiplatformV1beta1::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

Returns:



65268
65269
65270
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65268

def error
  @error
end

#evaluate_dataset_runs ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1EvaluateDatasetRun>

Output only. Evaluation runs for the Tuning Job. Corresponds to the JSON property evaluateDatasetRuns

Returns:



65273
65274
65275
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65273

def evaluate_dataset_runs
  @evaluate_dataset_runs
end

#experiment ⇒ String

Output only. The Experiment associated with this TuningJob. Corresponds to the JSON property experiment

Returns:

  • (String) 


65278
65279
65280
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65278

def experiment
  @experiment
end

#full_fine_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1FullFineTuningSpec

Tuning Spec for Full Fine Tuning. Corresponds to the JSON property fullFineTuningSpec

Returns:



65283
65284
65285
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65283

def full_fine_tuning_spec
  @full_fine_tuning_spec
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

Returns:

  • (Hash<String,String>) 


65293
65294
65295
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65293

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`

Returns:

  • (String) 


65299
65300
65301
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65299

def name
  @name
end

#output_uri ⇒ String

Optional. Cloud Storage path to the directory where tuning job outputs are written to. This field is only available and required for open source models. Corresponds to the JSON property outputUri

Returns:

  • (String) 


65305
65306
65307
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65305

def output_uri
  @output_uri
end

#partner_model_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PartnerModelTuningSpec

Tuning spec for Partner models. Corresponds to the JSON property partnerModelTuningSpec

Returns:



65310
65311
65312
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65310

def partner_model_tuning_spec
  @partner_model_tuning_spec
end

#pipeline_job ⇒ String

Output only. The resource name of the PipelineJob associated with the TuningJob. Format: projects/project/locations/location/pipelineJobs/ pipeline_job`. Corresponds to the JSON propertypipelineJob`

Returns:

  • (String) 


65317
65318
65319
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65317

def pipeline_job
  @pipeline_job
end

#pre_tuned_model ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PreTunedModel

A pre-tuned model for continuous tuning. Corresponds to the JSON property preTunedModel

Returns:



65322
65323
65324
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65322

def pre_tuned_model
  @pre_tuned_model
end

#preference_optimization_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1PreferenceOptimizationSpec

Tuning Spec for Preference Optimization. Corresponds to the JSON property preferenceOptimizationSpec

Returns:



65327
65328
65329
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65327

def preference_optimization_spec
  @preference_optimization_spec
end

#reinforcement_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ReinforcementTuningSpec

Tuning spec for Reinforcement Tuning. Corresponds to the JSON property reinforcementTuningSpec

Returns:



65332
65333
65334
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65332

def reinforcement_tuning_spec
  @reinforcement_tuning_spec
end

#satisfies_pzi ⇒ Boolean Also known as: satisfies_pzi?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzi

Returns:

  • (Boolean) 


65337
65338
65339
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65337

def satisfies_pzi
  @satisfies_pzi
end

#satisfies_pzs ⇒ Boolean Also known as: satisfies_pzs?

Output only. Reserved for future use. Corresponds to the JSON property satisfiesPzs

Returns:

  • (Boolean) 


65343
65344
65345
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65343

def satisfies_pzs
  @satisfies_pzs
end

#service_account ⇒ String

The service account that the tuningJob workload runs as. If not specified, the Vertex AI Secure Fine-Tuned Service Agent in the project will be used. See https://cloud.google.com/iam/docs/service-agents#vertex-ai-secure-fine-tuning- service-agent Users starting the pipeline must have the iam.serviceAccounts. actAs permission on this service account. Corresponds to the JSON property serviceAccount

Returns:

  • (String) 


65353
65354
65355
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65353

def 
  @service_account
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

Returns:

  • (String) 


65359
65360
65361
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65359

def start_time
  @start_time
end

#state ⇒ String

Output only. The detailed state of the job. Corresponds to the JSON property state

Returns:

  • (String) 


65364
65365
65366
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65364

def state
  @state
end

#supervised_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SupervisedTuningSpec

Tuning Spec for Supervised Tuning for first party models. Corresponds to the JSON property supervisedTuningSpec

Returns:



65369
65370
65371
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65369

def supervised_tuning_spec
  @supervised_tuning_spec
end

#tuned_model ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TunedModel

The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. Corresponds to the JSON property tunedModel

Returns:



65375
65376
65377
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65375

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. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre- tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version. Corresponds to the JSON property tunedModelDisplayName

Returns:

  • (String) 


65384
65385
65386
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65384

def tuned_model_display_name
  @tuned_model_display_name
end

#tuning_data_stats ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TuningDataStats

The tuning data statistic values for TuningJob. Corresponds to the JSON property tuningDataStats

Returns:



65389
65390
65391
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65389

def tuning_data_stats
  @tuning_data_stats
end

#tuning_job_metadata ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1TuningJobMetadata

Tuning job metadata. Corresponds to the JSON property tuningJobMetadata

Returns:



65394
65395
65396
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65394

def tuning_job_metadata
  @tuning_job_metadata
end

#tuning_job_state ⇒ String

Output only. The detail state of the tuning job (while the overall JobState is running). Corresponds to the JSON property tuningJobState

Returns:

  • (String) 


65400
65401
65402
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65400

def tuning_job_state
  @tuning_job_state
end

#update_time ⇒ String

Output only. Time when the TuningJob was most recently updated. Corresponds to the JSON property updateTime

Returns:

  • (String) 


65405
65406
65407
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65405

def update_time
  @update_time
end

#veo_lora_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VeoLoraTuningSpec

Tuning Spec for Veo LoRA Model Tuning. Corresponds to the JSON property veoLoraTuningSpec

Returns:



65410
65411
65412
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65410

def veo_lora_tuning_spec
  @veo_lora_tuning_spec
end

#veo_tuning_spec ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1VeoTuningSpec

Tuning Spec for Veo Model Tuning. Corresponds to the JSON property veoTuningSpec

Returns:



65415
65416
65417
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65415

def veo_tuning_spec
  @veo_tuning_spec
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



65422
65423
65424
65425
65426
65427
65428
65429
65430
65431
65432
65433
65434
65435
65436
65437
65438
65439
65440
65441
65442
65443
65444
65445
65446
65447
65448
65449
65450
65451
65452
65453
65454
65455
65456
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 65422

def update!(**args)
  @base_model = args[:base_model] if args.key?(:base_model)
  @create_time = args[:create_time] if args.key?(:create_time)
  @custom_base_model = args[:custom_base_model] if args.key?(:custom_base_model)
  @description = args[:description] if args.key?(:description)
  @distillation_spec = args[:distillation_spec] if args.key?(:distillation_spec)
  @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)
  @evaluate_dataset_runs = args[:evaluate_dataset_runs] if args.key?(:evaluate_dataset_runs)
  @experiment = args[:experiment] if args.key?(:experiment)
  @full_fine_tuning_spec = args[:full_fine_tuning_spec] if args.key?(:full_fine_tuning_spec)
  @labels = args[:labels] if args.key?(:labels)
  @name = args[:name] if args.key?(:name)
  @output_uri = args[:output_uri] if args.key?(:output_uri)
  @partner_model_tuning_spec = args[:partner_model_tuning_spec] if args.key?(:partner_model_tuning_spec)
  @pipeline_job = args[:pipeline_job] if args.key?(:pipeline_job)
  @pre_tuned_model = args[:pre_tuned_model] if args.key?(:pre_tuned_model)
  @preference_optimization_spec = args[:preference_optimization_spec] if args.key?(:preference_optimization_spec)
  @reinforcement_tuning_spec = args[:reinforcement_tuning_spec] if args.key?(:reinforcement_tuning_spec)
  @satisfies_pzi = args[:satisfies_pzi] if args.key?(:satisfies_pzi)
  @satisfies_pzs = args[:satisfies_pzs] if args.key?(:satisfies_pzs)
  @service_account = args[:service_account] if args.key?(:service_account)
  @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)
  @tuning_job_metadata = args[:tuning_job_metadata] if args.key?(:tuning_job_metadata)
  @tuning_job_state = args[:tuning_job_state] if args.key?(:tuning_job_state)
  @update_time = args[:update_time] if args.key?(:update_time)
  @veo_lora_tuning_spec = args[:veo_lora_tuning_spec] if args.key?(:veo_lora_tuning_spec)
  @veo_tuning_spec = args[:veo_tuning_spec] if args.key?(:veo_tuning_spec)
end