gcp_aiplatform_data_labeling_job

active_learning_config

Type: STRUCT
Provider name: activeLearningConfig
Description: Parameters that configure the active learning pipeline. Active learning will label the data incrementally via several iterations. For every iteration, it will select a batch of data based on the sampling strategy.

• max_data_item_count
  Type: INT64
  Provider name: maxDataItemCount
  Description: Max number of human labeled DataItems.
  
• max_data_item_percentage
  Type: INT32
  Provider name: maxDataItemPercentage
  Description: Max percent of total DataItems for human labeling.
  
• sample_config
  Type: STRUCT
  Provider name: sampleConfig
  Description: Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.
  
  • following_batch_sample_percentage
    Type: INT32
    Provider name: followingBatchSamplePercentage
    Description: The percentage of data needed to be labeled in each following batch (except the first batch).
    
  • initial_batch_sample_percentage
    Type: INT32
    Provider name: initialBatchSamplePercentage
    Description: The percentage of data needed to be labeled in the first batch.
    
  • sample_strategy
    Type: STRING
    Provider name: sampleStrategy
    Description: Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.
    Possible values:
    
    • SAMPLE_STRATEGY_UNSPECIFIED - Default will be treated as UNCERTAINTY.
      
    • UNCERTAINTY - Sample the most uncertain data to label.
      
• training_config
  Type: STRUCT
  Provider name: trainingConfig
  Description: CMLE training config. For every active learning labeling iteration, system will train a machine learning model on CMLE. The trained model will be used by data sampling algorithm to select DataItems.
  
  • timeout_training_milli_hours
    Type: INT64
    Provider name: timeoutTrainingMilliHours
    Description: The timeout hours for the CMLE training job, expressed in milli hours i.e. 1,000 value in this field means 1 hour.
    

ancestors

Type: UNORDERED_LIST_STRING

create_time

Type: TIMESTAMP
Provider name: createTime
Description: Output only. Timestamp when this DataLabelingJob was created.

current_spend

Type: STRUCT
Provider name: currentSpend
Description: Output only. Estimated cost(in US dollars) that the DataLabelingJob has incurred to date.

• currency_code
  Type: STRING
  Provider name: currencyCode
  Description: The three-letter currency code defined in ISO 4217.
  
• nanos
  Type: INT32
  Provider name: nanos
  Description: Number of nano (10^-9) units of the amount. The value must be between -999,999,999 and +999,999,999 inclusive. If units is positive, nanos must be positive or zero. If units is zero, nanos can be positive, zero, or negative. If units is negative, nanos must be negative or zero. For example $-1.75 is represented as units=-1 and nanos=-750,000,000.
  
• units
  Type: INT64
  Provider name: units
  Description: The whole units of the amount. For example if currencyCode is "USD", then 1 unit is one US dollar.
  

datasets

Type: UNORDERED_LIST_STRING
Provider name: datasets
Description: Required. Dataset resource names. Right now we only support labeling from a single Dataset. Format: projects/{project}/locations/{location}/datasets/{dataset}

encryption_spec

Type: STRUCT
Provider name: encryptionSpec
Description: Customer-managed encryption key spec for a DataLabelingJob. If set, this DataLabelingJob will be secured by this key. Note: Annotations created in the DataLabelingJob are associated with the EncryptionSpec of the Dataset they are exported to.

• kms_key_name
  Type: STRING
  Provider name: kmsKeyName
  Description: Required. The Cloud KMS resource identifier of the customer managed encryption key used to protect a resource. Has the form: projects/my-project/locations/my-region/keyRings/my-kr/cryptoKeys/my-key. The key needs to be in the same region as where the compute resource is created.
  

error

Type: STRUCT
Provider name: error
Description: Output only. DataLabelingJob errors. It is only populated when job’s state is JOB_STATE_FAILED or JOB_STATE_CANCELLED.

• code
  Type: INT32
  Provider name: code
  Description: The status code, which should be an enum value of google.rpc.Code.
  
• message
  Type: STRING
  Provider name: message
  Description: A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
  

gcp_display_name

Type: STRING
Provider name: displayName
Description: 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.

inputs_schema_uri

Type: STRING
Provider name: inputsSchemaUri
Description: 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.

instruction_uri

Type: STRING
Provider name: instructionUri
Description: 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.

labeler_count

Type: INT32
Provider name: labelerCount
Description: Required. Number of labelers to work on each DataItem.

labeling_progress

Type: INT32
Provider name: labelingProgress
Description: Output only. Current labeling job progress percentage scaled in interval [0, 100], indicating the percentage of DataItems that has been finished.

labels

Type: UNORDERED_LIST_STRING

name

Type: STRING
Provider name: name
Description: Output only. Resource name of the DataLabelingJob.

organization_id

Type: STRING

parent

Type: STRING

project_id

Type: STRING

project_number

Type: STRING

resource_name

Type: STRING

specialist_pools

Type: UNORDERED_LIST_STRING
Provider name: specialistPools
Description: The SpecialistPools’ resource names associated with this job.

state

Type: STRING
Provider name: state
Description: Output only. The detailed state of the job.
Possible values:

• JOB_STATE_UNSPECIFIED - The job state is unspecified.
  
• JOB_STATE_QUEUED - The job has been just created or resumed and processing has not yet begun.
  
• JOB_STATE_PENDING - The service is preparing to run the job.
  
• JOB_STATE_RUNNING - The job is in progress.
  
• JOB_STATE_SUCCEEDED - The job completed successfully.
  
• JOB_STATE_FAILED - The job failed.
  
• JOB_STATE_CANCELLING - The job is being cancelled. From this state the job may only go to either JOB_STATE_SUCCEEDED, JOB_STATE_FAILED or JOB_STATE_CANCELLED.
  
• JOB_STATE_CANCELLED - The job has been cancelled.
  
• JOB_STATE_PAUSED - The job has been stopped, and can be resumed.
  
• JOB_STATE_EXPIRED - The job has expired.
  
• JOB_STATE_UPDATING - The job is being updated. Only jobs in the RUNNING state can be updated. After updating, the job goes back to the RUNNING state.
  
• JOB_STATE_PARTIALLY_SUCCEEDED - The job is partially succeeded, some results may be missing due to errors.
  

tags

Type: UNORDERED_LIST_STRING

update_time

Type: TIMESTAMP
Provider name: updateTime
Description: Output only. Timestamp when this DataLabelingJob was updated most recently.