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Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

InitialActiveLearningModelArn 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.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern: arn:aws[a-z\-]*:sagemaker:[a-z0-9\-]*:[0-9]{12}:model/.*
Required: No

LabelingJobAlgorithmSpecificationArn 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 Type: String
Length Constraints: Maximum length of 2048.
Pattern: arn:.*
Required: Yes

LabelingJobResourceConfig Provides configuration information for a labeling job.
Type: LabelingJobResourceConfig object
Required: No

For more information about using this API in one of the language-specific AWS SDKs, see the following: + AWS SDK for C++ + AWS SDK for Go + AWS SDK for Go - Pilot + AWS SDK for Java + AWS SDK for Ruby V2