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::MachineLearning::CreateBatchPrediction; use Moose; has BatchPredictionDataSourceId => (is => 'ro', isa => 'Str', required => 1); has BatchPredictionId => (is => 'ro', isa => 'Str', required => 1); has BatchPredictionName => (is => 'ro', isa => 'Str'); has MLModelId => (is => 'ro', isa => 'Str', required => 1); has OutputUri => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateBatchPrediction'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::CreateBatchPredictionOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::CreateBatchPrediction - Arguments for method CreateBatchPrediction on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateBatchPrediction on the L service. Use the attributes of this class as arguments to method CreateBatchPrediction. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateBatchPrediction. =head1 SYNOPSIS my $machinelearning = Paws->service('MachineLearning'); my $CreateBatchPredictionOutput = $machinelearning->CreateBatchPrediction( BatchPredictionDataSourceId => 'MyEntityId', BatchPredictionId => 'MyEntityId', MLModelId => 'MyEntityId', OutputUri => 'MyS3Url', BatchPredictionName => 'MyEntityName', # OPTIONAL ); # Results: my $BatchPredictionId = $CreateBatchPredictionOutput->BatchPredictionId; # 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 BatchPredictionDataSourceId => Str The ID of the C that points to the group of observations to predict. =head2 B BatchPredictionId => Str A user-supplied ID that uniquely identifies the C. =head2 BatchPredictionName => Str A user-supplied name or description of the C. C can only use the UTF-8 character set. =head2 B MLModelId => Str The ID of the C that will generate predictions for the group of observations. =head2 B OutputUri => Str The location of an Amazon Simple Storage Service (Amazon S3) bucket or directory to store the batch prediction results. The following substrings are not allowed in the C portion of the C field: ':', '//', '/./', '/../'. Amazon ML needs permissions to store and retrieve the logs on your behalf. For information about how to set permissions, see the Amazon Machine Learning Developer Guide (https://docs.aws.amazon.com/machine-learning/latest/dg). =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateBatchPrediction in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut