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.



4646
4647
4648
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4646

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:



4531
4532
4533
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4531

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>) 


4541
4542
4543
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4541

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) 


4546
4547
4548
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4546

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:



4551
4552
4553
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4551

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>) 


4558
4559
4560
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4558

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) 


4565
4566
4567
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4565

def display_name
  @display_name
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

Returns:



4571
4572
4573
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4571

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:



4581
4582
4583
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4581

def error
  @error
end

#inputs ⇒ Object

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

Returns:

  • (Object) 


4586
4587
4588
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4586

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) 


4594
4595
4596
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4594

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) 


4601
4602
4603
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4601

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) 


4606
4607
4608
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4606

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) 


4612
4613
4614
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4612

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>) 


4624
4625
4626
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4624

def labels
  @labels
end

#name ⇒ String

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

Returns:

  • (String) 


4629
4630
4631
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4629

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>) 


4634
4635
4636
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4634

def specialist_pools
  @specialist_pools
end

#state ⇒ String

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

Returns:

  • (String) 


4639
4640
4641
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4639

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) 


4644
4645
4646
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4644

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



4651
4652
4653
4654
4655
4656
4657
4658
4659
4660
4661
4662
4663
4664
4665
4666
4667
4668
4669
4670
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 4651

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