Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1DataLabelingJob

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

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) ⇒ GoogleCloudAiplatformV1beta1DataLabelingJob

Returns a new instance of GoogleCloudAiplatformV1beta1DataLabelingJob.



3255
3256
3257
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3255

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

Instance Attribute Details

#active_learning_config ⇒ Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1ActiveLearningConfig

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:



3140
3141
3142
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3140

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>) 


3150
3151
3152
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3150

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) 


3155
3156
3157
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3155

def create_time
  @create_time
end

#current_spend ⇒ Google::Apis::AiplatformV1beta1::GoogleTypeMoney

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

Returns:



3160
3161
3162
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3160

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>) 


3167
3168
3169
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3167

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) 


3174
3175
3176
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3174

def display_name
  @display_name
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:



3180
3181
3182
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3180

def encryption_spec
  @encryption_spec
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:



3190
3191
3192
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3190

def error
  @error
end

#inputs ⇒ Object

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

Returns:

  • (Object) 


3195
3196
3197
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3195

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) 


3203
3204
3205
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3203

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) 


3210
3211
3212
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3210

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) 


3215
3216
3217
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3215

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) 


3221
3222
3223
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3221

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>) 


3233
3234
3235
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3233

def labels
  @labels
end

#name ⇒ String

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

Returns:

  • (String) 


3238
3239
3240
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3238

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>) 


3243
3244
3245
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3243

def specialist_pools
  @specialist_pools
end

#state ⇒ String

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

Returns:

  • (String) 


3248
3249
3250
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3248

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) 


3253
3254
3255
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3253

def update_time
  @update_time
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
 
# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 3260

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