Class: Google::Apis::AiplatformV1::GoogleCloudAiplatformV1DataLabelingJob

Inherits:
Object
  • Object
show all
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

DataLabelingJob is used to trigger a human labeling job on unlabeled data from the following Dataset:

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ GoogleCloudAiplatformV1DataLabelingJob

Returns a new instance of GoogleCloudAiplatformV1DataLabelingJob.



6402
6403
6404
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6402

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

Instance Attribute Details

#active_learning_config ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1ActiveLearningConfig

Parameters that configure the active learning pipeline. Active learning will label the data incrementally by several iterations. For every iteration, it will select a batch of data based on the sampling strategy. Corresponds to the JSON property activeLearningConfig

Returns:



6287
6288
6289
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6287

def active_learning_config
  @active_learning_config
end

#annotation_labels ⇒ Hash<String,String>

Labels to assign to annotations generated by this DataLabelingJob. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Corresponds to the JSON property annotationLabels

Returns:

  • (Hash<String,String>) 


6297
6298
6299
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6297

def annotation_labels
  @annotation_labels
end

#create_time ⇒ String

Output only. Timestamp when this DataLabelingJob was created. Corresponds to the JSON property createTime

Returns:

  • (String) 


6302
6303
6304
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6302

def create_time
  @create_time
end

#current_spend ⇒ Google::Apis::AiplatformV1::GoogleTypeMoney

Represents an amount of money with its currency type. Corresponds to the JSON property currentSpend

Returns:



6307
6308
6309
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6307

def current_spend
  @current_spend
end

#datasets ⇒ Array<String>

Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/project/locations/location/datasets/ dataset` Corresponds to the JSON propertydatasets`

Returns:

  • (Array<String>) 


6314
6315
6316
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6314

def datasets
  @datasets
end

#display_name ⇒ String

Required. The user-defined name of the DataLabelingJob. The name can be up to 128 characters long and can consist of any UTF-8 characters. Display name of a DataLabelingJob. Corresponds to the JSON property displayName

Returns:

  • (String) 


6321
6322
6323
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6321

def display_name
  @display_name
end

#encryption_spec ⇒ Google::Apis::AiplatformV1::GoogleCloudAiplatformV1EncryptionSpec

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

Returns:



6327
6328
6329
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6327

def encryption_spec
  @encryption_spec
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

Returns:



6337
6338
6339
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6337

def error
  @error
end

#inputs ⇒ Object

Required. Input config parameters for the DataLabelingJob. Corresponds to the JSON property inputs

Returns:

  • (Object) 


6342
6343
6344
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6342

def inputs
  @inputs
end

#inputs_schema_uri ⇒ String

Required. Points to a YAML file stored on Google Cloud Storage describing the config for a specific type of DataLabelingJob. The schema files that can be used here are found in the https://storage.googleapis.com/google-cloud- aiplatform bucket in the /schema/datalabelingjob/inputs/ folder. Corresponds to the JSON property inputsSchemaUri

Returns:

  • (String) 


6350
6351
6352
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6350

def inputs_schema_uri
  @inputs_schema_uri
end

#instruction_uri ⇒ String

Required. The Google Cloud Storage location of the instruction pdf. This pdf is shared with labelers, and provides detailed description on how to label DataItems in Datasets. Corresponds to the JSON property instructionUri

Returns:

  • (String) 


6357
6358
6359
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6357

def instruction_uri
  @instruction_uri
end

#labeler_count ⇒ Fixnum

Required. Number of labelers to work on each DataItem. Corresponds to the JSON property labelerCount

Returns:

  • (Fixnum) 


6362
6363
6364
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6362

def labeler_count
  @labeler_count
end

#labeling_progress ⇒ Fixnum

Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished. Corresponds to the JSON property labelingProgress

Returns:

  • (Fixnum) 


6368
6369
6370
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6368

def labeling_progress
  @labeling_progress
end

#labels ⇒ Hash<String,String>

The labels with user-defined metadata to organize your DataLabelingJobs. 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. System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable. Following system labels exist for each DataLabelingJob: * "aiplatform.googleapis.com/schema": output only, its value is the inputs_schema's title. Corresponds to the JSON property labels

Returns:

  • (Hash<String,String>) 


6380
6381
6382
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6380

def labels
  @labels
end

#name ⇒ String

Output only. Resource name of the DataLabelingJob. Corresponds to the JSON property name

Returns:

  • (String) 


6385
6386
6387
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6385

def name
  @name
end

#specialist_pools ⇒ Array<String>

The SpecialistPools' resource names associated with this job. Corresponds to the JSON property specialistPools

Returns:

  • (Array<String>) 


6390
6391
6392
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6390

def specialist_pools
  @specialist_pools
end

#state ⇒ String

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

Returns:

  • (String) 


6395
6396
6397
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6395

def state
  @state
end

#update_time ⇒ String

Output only. Timestamp when this DataLabelingJob was updated most recently. Corresponds to the JSON property updateTime

Returns:

  • (String) 


6400
6401
6402
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6400

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



6407
6408
6409
6410
6411
6412
6413
6414
6415
6416
6417
6418
6419
6420
6421
6422
6423
6424
6425
6426
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6407

def update!(**args)
  @active_learning_config = args[:active_learning_config] if args.key?(:active_learning_config)
  @annotation_labels = args[:annotation_labels] if args.key?(:annotation_labels)
  @create_time = args[:create_time] if args.key?(:create_time)
  @current_spend = args[:current_spend] if args.key?(:current_spend)
  @datasets = args[:datasets] if args.key?(:datasets)
  @display_name = args[:display_name] if args.key?(:display_name)
  @encryption_spec = args[:encryption_spec] if args.key?(:encryption_spec)
  @error = args[:error] if args.key?(:error)
  @inputs = args[:inputs] if args.key?(:inputs)
  @inputs_schema_uri = args[:inputs_schema_uri] if args.key?(:inputs_schema_uri)
  @instruction_uri = args[:instruction_uri] if args.key?(:instruction_uri)
  @labeler_count = args[:labeler_count] if args.key?(:labeler_count)
  @labeling_progress = args[:labeling_progress] if args.key?(:labeling_progress)
  @labels = args[:labels] if args.key?(:labels)
  @name = args[:name] if args.key?(:name)
  @specialist_pools = args[:specialist_pools] if args.key?(:specialist_pools)
  @state = args[:state] if args.key?(:state)
  @update_time = args[:update_time] if args.key?(:update_time)
end