sagemaker/aws.sdk.kotlin.services.sagemaker.model/CreateLabelingJobRequest/Builder

Builder

Properties

Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).

inputConfig

var inputConfig: LabelingJobInputConfig?

Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.

labelAttributeName

var labelAttributeName: String?

The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The LabelAttributeName must meet the following requirements.

labelCategoryConfigS3Uri

var labelCategoryConfigS3Uri: String?

The S3 URI of the file, referred to as a label category configuration file, that defines the categories used to label the data objects.

labelingJobAlgorithmsConfig

var labelingJobAlgorithmsConfig: LabelingJobAlgorithmsConfig?

Configures the information required to perform automated data labeling.

labelingJobName

var labelingJobName: String?

The name of the labeling job. This name is used to identify the job in a list of labeling jobs. Labeling job names must be unique within an Amazon Web Services account and region. LabelingJobName is not case sensitive. For example, Example-job and example-job are considered the same labeling job name by Ground Truth.

outputConfig

var outputConfig: LabelingJobOutputConfig?

The location of the output data and the Amazon Web Services Key Management Service key ID for the key used to encrypt the output data, if any.

roleArn

var roleArn: String?

The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.

stoppingConditions

var stoppingConditions: LabelingJobStoppingConditions?

A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.

Functions

humanTaskConfig

fun humanTaskConfig(block: HumanTaskConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.HumanTaskConfig inside the given block

inputConfig

fun inputConfig(block: LabelingJobInputConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LabelingJobInputConfig inside the given block

labelingJobAlgorithmsConfig

fun labelingJobAlgorithmsConfig(block: LabelingJobAlgorithmsConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LabelingJobAlgorithmsConfig inside the given block

outputConfig

fun outputConfig(block: LabelingJobOutputConfig.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LabelingJobOutputConfig inside the given block

stoppingConditions

fun stoppingConditions(block: LabelingJobStoppingConditions.Builder.() -> Unit)

construct an aws.sdk.kotlin.services.sagemaker.model.LabelingJobStoppingConditions inside the given block