package Paws::FraudDetector::GetEventPrediction; use Moose; has DetectorId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'detectorId' , required => 1); has DetectorVersionId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'detectorVersionId' ); has Entities => (is => 'ro', isa => 'ArrayRef[Paws::FraudDetector::Entity]', traits => ['NameInRequest'], request_name => 'entities' , required => 1); has EventId => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'eventId' , required => 1); has EventTimestamp => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'eventTimestamp' , required => 1); has EventTypeName => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'eventTypeName' , required => 1); has EventVariables => (is => 'ro', isa => 'Paws::FraudDetector::EventVariableMap', traits => ['NameInRequest'], request_name => 'eventVariables' , required => 1); has ExternalModelEndpointDataBlobs => (is => 'ro', isa => 'Paws::FraudDetector::ExternalModelEndpointDataBlobMap', traits => ['NameInRequest'], request_name => 'externalModelEndpointDataBlobs' ); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'GetEventPrediction'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::FraudDetector::GetEventPredictionResult'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::FraudDetector::GetEventPrediction - Arguments for method GetEventPrediction on L =head1 DESCRIPTION This class represents the parameters used for calling the method GetEventPrediction on the L service. Use the attributes of this class as arguments to method GetEventPrediction. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to GetEventPrediction. =head1 SYNOPSIS my $frauddetector = Paws->service('FraudDetector'); my $GetEventPredictionResult = $frauddetector->GetEventPrediction( DetectorId => 'Mystring', Entities => [ { EntityId => 'Myidentifier', # min: 1, max: 64 EntityType => 'Mystring', }, ... ], EventId => 'Mystring', EventTimestamp => 'Mystring', EventTypeName => 'Mystring', EventVariables => { 'MyvariableName' => 'MyvariableValue', # key: min: 1, max: 64, value: min: 1, max: 1024 }, DetectorVersionId => 'MywholeNumberVersionString', # OPTIONAL ExternalModelEndpointDataBlobs => { 'Mystring' => { ByteBuffer => 'Blobblob', # OPTIONAL ContentType => 'MycontentType', # min: 1, max: 1024; OPTIONAL }, }, # OPTIONAL ); # Results: my $ModelScores = $GetEventPredictionResult->ModelScores; my $RuleResults = $GetEventPredictionResult->RuleResults; # Returns a L object. 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 DetectorId => Str The detector ID. =head2 DetectorVersionId => Str The detector version ID. =head2 B Entities => ArrayRef[L] The entity type (associated with the detector's event type) and specific entity ID representing who performed the event. If an entity id is not available, use "UNKNOWN." =head2 B EventId => Str The unique ID used to identify the event. =head2 B EventTimestamp => Str Timestamp that defines when the event under evaluation occurred. =head2 B EventTypeName => Str The event type associated with the detector specified for the prediction. =head2 B EventVariables => L Names of the event type's variables you defined in Amazon Fraud Detector to represent data elements and their corresponding values for the event you are sending for evaluation. =head2 ExternalModelEndpointDataBlobs => L The Amazon SageMaker model endpoint input data blobs. =head1 SEE ALSO This class forms part of L, documenting arguments for method GetEventPrediction in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut