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.



3899
3900
3901
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3899

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:



3784
3785
3786
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3784

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>) 


3794
3795
3796
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3794

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) 


3799
3800
3801
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3799

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:



3804
3805
3806
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3804

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>) 


3811
3812
3813
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3811

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) 


3818
3819
3820
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3818

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:



3824
3825
3826
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3824

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:



3834
3835
3836
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3834

def error
  @error
end

#inputs ⇒ Object

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

Returns:

  • (Object) 


3839
3840
3841
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3839

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) 


3847
3848
3849
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3847

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) 


3854
3855
3856
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3854

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) 


3859
3860
3861
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3859

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) 


3865
3866
3867
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3865

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>) 


3877
3878
3879
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3877

def labels
  @labels
end

#name ⇒ String

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

Returns:

  • (String) 


3882
3883
3884
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3882

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>) 


3887
3888
3889
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3887

def specialist_pools
  @specialist_pools
end

#state ⇒ String

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

Returns:

  • (String) 


3892
3893
3894
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3892

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) 


3897
3898
3899
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3897

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3904
3905
3906
3907
3908
3909
3910
3911
3912
3913
3914
3915
3916
3917
3918
3919
3920
3921
3922
3923
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 3904

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