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::ModelEndpointDataBlob; use Moose; has ByteBuffer => (is => 'ro', isa => 'Str', request_name => 'byteBuffer', traits => ['NameInRequest']); has ContentType => (is => 'ro', isa => 'Str', request_name => 'contentType', traits => ['NameInRequest']); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::ModelEndpointDataBlob =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::ModelEndpointDataBlob object: $service_obj->Method(Att1 => { ByteBuffer => $value, ..., ContentType => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::FraudDetector::ModelEndpointDataBlob object: $result = $service_obj->Method(...); $result->Att1->ByteBuffer =head1 DESCRIPTION A pre-formed Amazon SageMaker model input you can include if your detector version includes an imported Amazon SageMaker model endpoint with pass-through input configuration. =head1 ATTRIBUTES =head2 ByteBuffer => Str The byte buffer of the Amazon SageMaker model endpoint input data blob. =head2 ContentType => Str The content type of the Amazon SageMaker model endpoint input data blob. =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