class Aws::SageMaker::Types::LabelingJobAlgorithmsConfig

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

@note When making an API call, you may pass LabelingJobAlgorithmsConfig

data as a hash:

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

@!attribute [rw] labeling_job_algorithm_specification_arn

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`
@return [String]

@!attribute [rw] initial_active_learning_model_arn

At the end of an auto-label job Ground Truth sends the Amazon
Resource Name (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.
@return [String]

@!attribute [rw] labeling_job_resource_config

Provides configuration information for a labeling job.
@return [Types::LabelingJobResourceConfig]

@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/LabelingJobAlgorithmsConfig AWS API Documentation

Constants

SENSITIVE