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Class: Aws::SageMaker::Types::LabelingJobAlgorithmsConfig

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing LabelingJobAlgorithmsConfig as input to an Aws::Client method, you can use a vanilla Hash:

{
  labeling_job_algorithm_specification_arn: "LabelingJobAlgorithmSpecificationArn", # required
  initial_active_learning_model_arn: "ModelArn",
  labeling_job_resource_config: {
    volume_kms_key_id: "KmsKeyId",
  },
}

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

Returned by:

Instance Attribute Summary collapse

Instance Attribute Details

#initial_active_learning_model_arnString

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.

Returns:

  • (String)

    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.

#labeling_job_algorithm_specification_arnString

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

Returns:

  • (String)

    Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling.

#labeling_job_resource_configTypes::LabelingJobResourceConfig

Provides configuration information for a labeling job.

Returns: