LabelingJobAlgorithmsConfig

public struct LabelingJobAlgorithmsConfig : AWSShape

Undocumented

  • Declaration

    Swift

    public static var _members: [AWSShapeMember]

  • At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

    Declaration

    Swift

    public let initialActiveLearningModelArn: String?

  • Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs: Image classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification Text classification arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification Object detection arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection Semantic Segmentation arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

    Declaration

    Swift

    public let labelingJobAlgorithmSpecificationArn: String

  • Provides configuration information for a labeling job.

    Declaration

    Swift

    public let labelingJobResourceConfig: LabelingJobResourceConfig?

  • Undocumented

    Declaration

    Swift

    public init(initialActiveLearningModelArn: String? = nil, labelingJobAlgorithmSpecificationArn: String, labelingJobResourceConfig: LabelingJobResourceConfig? = nil)

  • Declaration

    Swift

    public func validate(name: String) throws