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` package Paws::FraudDetector::PutExternalModel; use Moose; has InputConfiguration => (is => 'ro', isa => 'Paws::FraudDetector::ModelInputConfiguration', traits => ['NameInRequest'], request_name => 'inputConfiguration' , required => 1); has InvokeModelEndpointRoleArn => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'invokeModelEndpointRoleArn' , required => 1); has ModelEndpoint => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'modelEndpoint' , required => 1); has ModelEndpointStatus => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'modelEndpointStatus' , required => 1); has ModelSource => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'modelSource' , required => 1); has OutputConfiguration => (is => 'ro', isa => 'Paws::FraudDetector::ModelOutputConfiguration', traits => ['NameInRequest'], request_name => 'outputConfiguration' , required => 1); has Tags => (is => 'ro', isa => 'ArrayRef[Paws::FraudDetector::Tag]', traits => ['NameInRequest'], request_name => 'tags' ); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'PutExternalModel'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::FraudDetector::PutExternalModelResult'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::PutExternalModel - Arguments for method PutExternalModel on L =head1 DESCRIPTION This class represents the parameters used for calling the method PutExternalModel on the L service. Use the attributes of this class as arguments to method PutExternalModel. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to PutExternalModel. =head1 SYNOPSIS my $frauddetector = Paws->service('FraudDetector'); my $PutExternalModelResult = $frauddetector->PutExternalModel( InputConfiguration => { UseEventVariables => 1, CsvInputTemplate => 'Mystring', # OPTIONAL EventTypeName => 'Myidentifier', # min: 1, max: 64; OPTIONAL Format => 'TEXT_CSV', # values: TEXT_CSV, APPLICATION_JSON; OPTIONAL JsonInputTemplate => 'Mystring', # OPTIONAL }, InvokeModelEndpointRoleArn => 'Mystring', ModelEndpoint => 'MysageMakerEndpointIdentifier', ModelEndpointStatus => 'ASSOCIATED', ModelSource => 'SAGEMAKER', OutputConfiguration => { Format => 'TEXT_CSV', # values: TEXT_CSV, APPLICATION_JSONLINES CsvIndexToVariableMap => { 'Mystring' => 'Mystring', # key: OPTIONAL, value: OPTIONAL }, # OPTIONAL JsonKeyToVariableMap => { 'Mystring' => 'Mystring', # key: OPTIONAL, value: OPTIONAL }, # OPTIONAL }, Tags => [ { Key => 'MytagKey', # min: 1, max: 128 Value => 'MytagValue', # max: 256 }, ... ], # OPTIONAL ); Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 B InputConfiguration => L The model endpoint input configuration. =head2 B InvokeModelEndpointRoleArn => Str The IAM role used to invoke the model endpoint. =head2 B ModelEndpoint => Str The model endpoints name. =head2 B ModelEndpointStatus => Str The model endpointEs status in Amazon Fraud Detector. Valid values are: C<"ASSOCIATED">, C<"DISSOCIATED"> =head2 B ModelSource => Str The source of the model. Valid values are: C<"SAGEMAKER"> =head2 B OutputConfiguration => L The model endpoint output configuration. =head2 Tags => ArrayRef[L] A collection of key and value pairs. =head1 SEE ALSO This class forms part of L, documenting arguments for method PutExternalModel in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut