package Paws::LookoutVision::DetectAnomalies; use Moose; has Body => (is => 'ro', isa => 'Str', traits => ['ParamInBody'], required => 1); has ContentType => (is => 'ro', isa => 'Str', traits => ['ParamInHeader'], header_name => 'Content-Type', required => 1); has ModelVersion => (is => 'ro', isa => 'Str', traits => ['ParamInURI'], uri_name => 'modelVersion', required => 1); has ProjectName => (is => 'ro', isa => 'Str', traits => ['ParamInURI'], uri_name => 'projectName', required => 1); use MooseX::ClassAttribute; class_has _stream_param => (is => 'ro', default => 'Body'); class_has _api_call => (isa => 'Str', is => 'ro', default => 'DetectAnomalies'); class_has _api_uri => (isa => 'Str', is => 'ro', default => '/2020-11-20/projects/{projectName}/models/{modelVersion}/detect'); class_has _api_method => (isa => 'Str', is => 'ro', default => 'POST'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::LookoutVision::DetectAnomaliesResponse'); 1; ### main pod documentation begin ### =head1 NAME Paws::LookoutVision::DetectAnomalies - Arguments for method DetectAnomalies on L =head1 DESCRIPTION This class represents the parameters used for calling the method DetectAnomalies on the L service. Use the attributes of this class as arguments to method DetectAnomalies. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DetectAnomalies. =head1 SYNOPSIS my $lookoutvision = Paws->service('LookoutVision'); my $DetectAnomaliesResponse = $lookoutvision->DetectAnomalies( Body => 'BlobStream', ContentType => 'MyContentType', ModelVersion => 'MyModelVersion', ProjectName => 'MyProjectName', ); # Results: my $DetectAnomalyResult = $DetectAnomaliesResponse->DetectAnomalyResult; # 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 Body => Str The unencrypted image bytes that you want to analyze. =head2 B ContentType => Str The type of the image passed in C. Valid values are C (PNG format images) and C (JPG format images). =head2 B ModelVersion => Str The version of the model that you want to use. =head2 B ProjectName => Str The name of the project that contains the model version that you want to use. =head1 SEE ALSO This class forms part of L, documenting arguments for method DetectAnomalies in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut