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.



6886
6887
6888
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6886

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:



6771
6772
6773
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6771

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>) 


6781
6782
6783
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6781

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) 


6786
6787
6788
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6786

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:



6791
6792
6793
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6791

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>) 


6798
6799
6800
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6798

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) 


6805
6806
6807
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6805

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:



6811
6812
6813
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6811

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:



6821
6822
6823
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6821

def error
  @error
end

#inputs ⇒ Object

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

Returns:

  • (Object) 


6826
6827
6828
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6826

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) 


6834
6835
6836
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6834

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) 


6841
6842
6843
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6841

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) 


6846
6847
6848
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6846

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) 


6852
6853
6854
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6852

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>) 


6864
6865
6866
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6864

def labels
  @labels
end

#name ⇒ String

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

Returns:

  • (String) 


6869
6870
6871
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6869

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>) 


6874
6875
6876
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6874

def specialist_pools
  @specialist_pools
end

#state ⇒ String

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

Returns:

  • (String) 


6879
6880
6881
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6879

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) 


6884
6885
6886
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6884

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



6891
6892
6893
6894
6895
6896
6897
6898
6899
6900
6901
6902
6903
6904
6905
6906
6907
6908
6909
6910
 
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 6891

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