package Paws::MachineLearning::GetBatchPrediction; use Moose; has BatchPredictionId => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'GetBatchPrediction'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::GetBatchPredictionOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::GetBatchPrediction - Arguments for method GetBatchPrediction on L =head1 DESCRIPTION This class represents the parameters used for calling the method GetBatchPrediction on the L service. Use the attributes of this class as arguments to method GetBatchPrediction. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to GetBatchPrediction. =head1 SYNOPSIS my $machinelearning = Paws->service('MachineLearning'); my $GetBatchPredictionOutput = $machinelearning->GetBatchPrediction( BatchPredictionId => 'MyEntityId', ); # Results: my $BatchPredictionDataSourceId = $GetBatchPredictionOutput->BatchPredictionDataSourceId; my $BatchPredictionId = $GetBatchPredictionOutput->BatchPredictionId; my $ComputeTime = $GetBatchPredictionOutput->ComputeTime; my $CreatedAt = $GetBatchPredictionOutput->CreatedAt; my $CreatedByIamUser = $GetBatchPredictionOutput->CreatedByIamUser; my $FinishedAt = $GetBatchPredictionOutput->FinishedAt; my $InputDataLocationS3 = $GetBatchPredictionOutput->InputDataLocationS3; my $InvalidRecordCount = $GetBatchPredictionOutput->InvalidRecordCount; my $LastUpdatedAt = $GetBatchPredictionOutput->LastUpdatedAt; my $LogUri = $GetBatchPredictionOutput->LogUri; my $MLModelId = $GetBatchPredictionOutput->MLModelId; my $Message = $GetBatchPredictionOutput->Message; my $Name = $GetBatchPredictionOutput->Name; my $OutputUri = $GetBatchPredictionOutput->OutputUri; my $StartedAt = $GetBatchPredictionOutput->StartedAt; my $Status = $GetBatchPredictionOutput->Status; my $TotalRecordCount = $GetBatchPredictionOutput->TotalRecordCount; # 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 BatchPredictionId => Str An ID assigned to the C at creation. =head1 SEE ALSO This class forms part of L, documenting arguments for method GetBatchPrediction in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut