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.



41239
41240
41241
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41239

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

Returns:

  • (String) 


41119
41120
41121
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41119

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) 


41124
41125
41126
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41124

def create_time
  @create_time
end

#description ⇒ String

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

Returns:

  • (String) 


41129
41130
41131
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41129

def description
  @description
end

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

Tuning Spec for Distillation. Corresponds to the JSON property distillationSpec

Returns:



41134
41135
41136
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41134

def distillation_spec
  @distillation_spec
end

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

Represents a customer-managed encryption key spec that can be applied to a top- level resource. Corresponds to the JSON property encryptionSpec

Returns:



41140
41141
41142
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41140

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) 


41147
41148
41149
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41147

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:



41157
41158
41159
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41157

def error
  @error
end

#experiment ⇒ String

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

Returns:

  • (String) 


41162
41163
41164
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41162

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

Returns:

  • (Hash<String,String>) 


41172
41173
41174
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41172

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) 


41178
41179
41180
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41178

def name
  @name
end

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

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

Returns:



41183
41184
41185
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41183

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) 


41190
41191
41192
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41190

def pipeline_job
  @pipeline_job
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) 


41199
41200
41201
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41199

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) 


41205
41206
41207
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41205

def start_time
  @start_time
end

#state ⇒ String

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

Returns:

  • (String) 


41210
41211
41212
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41210

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:



41215
41216
41217
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41215

def supervised_tuning_spec
  @supervised_tuning_spec
end

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

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

Returns:



41221
41222
41223
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41221

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

Returns:

  • (String) 


41227
41228
41229
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41227

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:



41232
41233
41234
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41232

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

Returns:

  • (String) 


41237
41238
41239
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41237

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



41244
41245
41246
41247
41248
41249
41250
41251
41252
41253
41254
41255
41256
41257
41258
41259
41260
41261
41262
41263
41264
41265
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 41244

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)
  @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)
  @experiment = args[:experiment] if args.key?(:experiment)
  @labels = args[:labels] if args.key?(:labels)
  @name = args[:name] if args.key?(:name)
  @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)
  @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)
  @update_time = args[:update_time] if args.key?(:update_time)
end