package Paws::FraudDetector::UpdateDetectorVersion; use Moose; has Description => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'description' ); has DetectorId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'detectorId' , required => 1); has DetectorVersionId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'detectorVersionId' , required => 1); has ExternalModelEndpoints => (is => 'ro', isa => 'ArrayRef[Str|Undef]', traits => ['NameInRequest'], request_name => 'externalModelEndpoints' , required => 1); has ModelVersions => (is => 'ro', isa => 'ArrayRef[Paws::FraudDetector::ModelVersion]', traits => ['NameInRequest'], request_name => 'modelVersions' ); has RuleExecutionMode => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'ruleExecutionMode' ); has Rules => (is => 'ro', isa => 'ArrayRef[Paws::FraudDetector::Rule]', traits => ['NameInRequest'], request_name => 'rules' , required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateDetectorVersion'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::FraudDetector::UpdateDetectorVersionResult'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::UpdateDetectorVersion - Arguments for method UpdateDetectorVersion on L =head1 DESCRIPTION This class represents the parameters used for calling the method UpdateDetectorVersion on the L service. Use the attributes of this class as arguments to method UpdateDetectorVersion. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateDetectorVersion. =head1 SYNOPSIS my $frauddetector = Paws->service('FraudDetector'); my $UpdateDetectorVersionResult = $frauddetector->UpdateDetectorVersion( DetectorId => 'Myidentifier', DetectorVersionId => 'MywholeNumberVersionString', ExternalModelEndpoints => [ 'Mystring', ... ], Rules => [ { DetectorId => 'Myidentifier', # min: 1, max: 64 RuleId => 'Myidentifier', # min: 1, max: 64 RuleVersion => 'MywholeNumberVersionString', # min: 1, max: 5 }, ... ], Description => 'Mydescription', # OPTIONAL ModelVersions => [ { ModelId => 'MymodelIdentifier', # min: 1, max: 64 ModelType => 'ONLINE_FRAUD_INSIGHTS', # values: ONLINE_FRAUD_INSIGHTS ModelVersionNumber => 'MynonEmptyString', # min: 1 Arn => 'MyfraudDetectorArn', # min: 1, max: 256; OPTIONAL }, ... ], # OPTIONAL RuleExecutionMode => 'ALL_MATCHED', # 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 Description => Str The detector version description. =head2 B DetectorId => Str The parent detector ID for the detector version you want to update. =head2 B DetectorVersionId => Str The detector version ID. =head2 B ExternalModelEndpoints => ArrayRef[Str|Undef] The Amazon SageMaker model endpoints to include in the detector version. =head2 ModelVersions => ArrayRef[L] The model versions to include in the detector version. =head2 RuleExecutionMode => Str The rule execution mode to add to the detector. If you specify C, Amazon Fraud Detector evaluates rules sequentially, first to last, stopping at the first matched rule. Amazon Fraud dectector then provides the outcomes for that single rule. If you specifiy C, Amazon Fraud Detector evaluates all rules and returns the outcomes for all matched rules. You can define and edit the rule mode at the detector version level, when it is in draft status. The default behavior is C. Valid values are: C<"ALL_MATCHED">, C<"FIRST_MATCHED"> =head2 B Rules => ArrayRef[L] The rules to include in the detector version. =head1 SEE ALSO This class forms part of L, documenting arguments for method UpdateDetectorVersion in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut