# Generated by default/object.tt package Paws::SageMaker::LabelingJobAlgorithmsConfig; use Moose; has InitialActiveLearningModelArn => (is => 'ro', isa => 'Str'); has LabelingJobAlgorithmSpecificationArn => (is => 'ro', isa => 'Str', required => 1); has LabelingJobResourceConfig => (is => 'ro', isa => 'Paws::SageMaker::LabelingJobResourceConfig'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::LabelingJobAlgorithmsConfig =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::SageMaker::LabelingJobAlgorithmsConfig object: $service_obj->Method(Att1 => { InitialActiveLearningModelArn => $value, ..., LabelingJobResourceConfig => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::SageMaker::LabelingJobAlgorithmsConfig object: $result = $service_obj->Method(...); $result->Att1->InitialActiveLearningModelArn =head1 DESCRIPTION Provides configuration information for auto-labeling of your data objects. A C object must be supplied in order to use auto-labeling. =head1 ATTRIBUTES =head2 InitialActiveLearningModelArn => Str 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. =head2 B LabelingJobAlgorithmSpecificationArn => Str Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs: =over =item * I C:027400017018:labeling-job-algorithm-specification/image-classification> =item * I C:027400017018:labeling-job-algorithm-specification/text-classification> =item * I