# Generated by default/object.tt package Paws::FraudDetector::TrainingResult; use Moose; has DataValidationMetrics => (is => 'ro', isa => 'Paws::FraudDetector::DataValidationMetrics', request_name => 'dataValidationMetrics', traits => ['NameInRequest']); has TrainingMetrics => (is => 'ro', isa => 'Paws::FraudDetector::TrainingMetrics', request_name => 'trainingMetrics', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::TrainingResult =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::FraudDetector::TrainingResult object: $service_obj->Method(Att1 => { DataValidationMetrics => $value, ..., TrainingMetrics => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::FraudDetector::TrainingResult object: $result = $service_obj->Method(...); $result->Att1->DataValidationMetrics =head1 DESCRIPTION The training result details. =head1 ATTRIBUTES =head2 DataValidationMetrics => L The validation metrics. =head2 TrainingMetrics => L The training metric details. =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