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