package Paws::Personalize::CreateBatchInferenceJob; use Moose; has BatchInferenceJobConfig => (is => 'ro', isa => 'Paws::Personalize::BatchInferenceJobConfig', traits => ['NameInRequest'], request_name => 'batchInferenceJobConfig' ); has FilterArn => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'filterArn' ); has JobInput => (is => 'ro', isa => 'Paws::Personalize::BatchInferenceJobInput', traits => ['NameInRequest'], request_name => 'jobInput' , required => 1); has JobName => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'jobName' , required => 1); has JobOutput => (is => 'ro', isa => 'Paws::Personalize::BatchInferenceJobOutput', traits => ['NameInRequest'], request_name => 'jobOutput' , required => 1); has NumResults => (is => 'ro', isa => 'Int', traits => ['NameInRequest'], request_name => 'numResults' ); has RoleArn => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'roleArn' , required => 1); has SolutionVersionArn => (is => 'ro', isa => 'Str', traits => ['NameInRequest'], request_name => 'solutionVersionArn' , required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateBatchInferenceJob'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::Personalize::CreateBatchInferenceJobResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::Personalize::CreateBatchInferenceJob - Arguments for method CreateBatchInferenceJob on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateBatchInferenceJob on the L service. Use the attributes of this class as arguments to method CreateBatchInferenceJob. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateBatchInferenceJob. =head1 SYNOPSIS my $personalize = Paws->service('Personalize'); my $CreateBatchInferenceJobResponse = $personalize->CreateBatchInferenceJob( JobInput => { S3DataSource => { Path => 'MyS3Location', # max: 256 KmsKeyArn => 'MyKmsKeyArn', # OPTIONAL }, }, JobName => 'MyName', JobOutput => { S3DataDestination => { Path => 'MyS3Location', # max: 256 KmsKeyArn => 'MyKmsKeyArn', # OPTIONAL }, }, RoleArn => 'MyRoleArn', SolutionVersionArn => 'MyArn', BatchInferenceJobConfig => { ItemExplorationConfig => { 'MyParameterName' => 'MyParameterValue', # key: max: 256, value: max: 1000 }, # max: 100; OPTIONAL }, # OPTIONAL FilterArn => 'MyArn', # OPTIONAL NumResults => 1, # OPTIONAL ); # Results: my $BatchInferenceJobArn = $CreateBatchInferenceJobResponse->BatchInferenceJobArn; # 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 BatchInferenceJobConfig => L The configuration details of a batch inference job. =head2 FilterArn => Str The ARN of the filter to apply to the batch inference job. For more information on using filters, see Filtering Batch Recommendations (https://docs.aws.amazon.com/personalize/latest/dg/filter-batch.html).. =head2 B JobInput => L The Amazon S3 path that leads to the input file to base your recommendations on. The input material must be in JSON format. =head2 B JobName => Str The name of the batch inference job to create. =head2 B JobOutput => L The path to the Amazon S3 bucket where the job's output will be stored. =head2 NumResults => Int The number of recommendations to retreive. =head2 B RoleArn => Str The ARN of the Amazon Identity and Access Management role that has permissions to read and write to your input and output Amazon S3 buckets respectively. =head2 B SolutionVersionArn => Str The Amazon Resource Name (ARN) of the solution version that will be used to generate the batch inference recommendations. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateBatchInferenceJob in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut