package Paws::MachineLearning::UpdateDataSource; use Moose; has DataSourceId => (is => 'ro', isa => 'Str', required => 1); has DataSourceName => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateDataSource'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::UpdateDataSourceOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::UpdateDataSource - Arguments for method UpdateDataSource on L =head1 DESCRIPTION This class represents the parameters used for calling the method UpdateDataSource on the L service. Use the attributes of this class as arguments to method UpdateDataSource. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateDataSource. =head1 SYNOPSIS my $machinelearning = Paws->service('MachineLearning'); my $UpdateDataSourceOutput = $machinelearning->UpdateDataSource( DataSourceId => 'MyEntityId', DataSourceName => 'MyEntityName', ); # Results: my $DataSourceId = $UpdateDataSourceOutput->DataSourceId; # 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 DataSourceId => Str The ID assigned to the C during creation. =head2 B DataSourceName => Str A new user-supplied name or description of the C that will replace the current description. =head1 SEE ALSO This class forms part of L, documenting arguments for method UpdateDataSource in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut