PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::FraudDetector::LabelSchema; use Moose; has LabelMapper => (is => 'ro', isa => 'Paws::FraudDetector::LabelMapper', request_name => 'labelMapper', traits => ['NameInRequest'], required => 1); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::LabelSchema =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::LabelSchema object: $service_obj->Method(Att1 => { LabelMapper => $value, ..., LabelMapper => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::FraudDetector::LabelSchema object: $result = $service_obj->Method(...); $result->Att1->LabelMapper =head1 DESCRIPTION The label schema. =head1 ATTRIBUTES =head2 B LabelMapper => L The label mapper maps the Amazon Fraud Detector supported model classification labels (C, C) to the appropriate event type labels. For example, if "C" and "C" are Amazon Fraud Detector supported labels, this mapper could be: C<{"FRAUD" =E ["0"]>, C<"LEGIT" =E ["1"]}> or C<{"FRAUD" =E ["false"]>, C<"LEGIT" =E ["true"]}> or C<{"FRAUD" =E ["fraud", "abuse"]>, C<"LEGIT" =E ["legit", "safe"]}>. The value part of the mapper is a list, because you may have multiple label variants from your event type for a single Amazon Fraud Detector label. =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