# Generated by default/object.tt package Paws::Rekognition::TestingDataResult; use Moose; has Input => (is => 'ro', isa => 'Paws::Rekognition::TestingData'); has Output => (is => 'ro', isa => 'Paws::Rekognition::TestingData'); has Validation => (is => 'ro', isa => 'Paws::Rekognition::ValidationData'); 1; ### main pod documentation begin ### =head1 NAME Paws::Rekognition::TestingDataResult =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::Rekognition::TestingDataResult object: $service_obj->Method(Att1 => { Input => $value, ..., Validation => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Rekognition::TestingDataResult object: $result = $service_obj->Method(...); $result->Att1->Input =head1 DESCRIPTION Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing. =head1 ATTRIBUTES =head2 Input => L The testing dataset that was supplied for training. =head2 Output => L The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues. =head2 Validation => L The location of the data validation manifest. The data validation manifest is created for the test dataset during model training. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut