package Paws::MachineLearning::CreateDataSourceFromS3; use Moose; has ComputeStatistics => (is => 'ro', isa => 'Bool'); has DataSourceId => (is => 'ro', isa => 'Str', required => 1); has DataSourceName => (is => 'ro', isa => 'Str'); has DataSpec => (is => 'ro', isa => 'Paws::MachineLearning::S3DataSpec', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateDataSourceFromS3'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::CreateDataSourceFromS3Output'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::CreateDataSourceFromS3 - Arguments for method CreateDataSourceFromS3 on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateDataSourceFromS3 on the L service. Use the attributes of this class as arguments to method CreateDataSourceFromS3. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateDataSourceFromS3. =head1 SYNOPSIS my $machinelearning = Paws->service('MachineLearning'); my $CreateDataSourceFromS3Output = $machinelearning->CreateDataSourceFromS3( DataSourceId => 'MyEntityId', DataSpec => { DataLocationS3 => 'MyS3Url', # max: 2048 DataRearrangement => 'MyDataRearrangement', # OPTIONAL DataSchema => 'MyDataSchema', # max: 131071; OPTIONAL DataSchemaLocationS3 => 'MyS3Url', # max: 2048 }, ComputeStatistics => 1, # OPTIONAL DataSourceName => 'MyEntityName', # OPTIONAL ); # Results: my $DataSourceId = $CreateDataSourceFromS3Output->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 ComputeStatistics => Bool The compute statistics for a C. The statistics are generated from the observation data referenced by a C. Amazon ML uses the statistics internally during C training. This parameter must be set to C if the C training.>> =head2 B DataSourceId => Str A user-supplied identifier that uniquely identifies the C. =head2 DataSourceName => Str A user-supplied name or description of the C. =head2 B DataSpec => L The data specification of a C: =over =item * DataLocationS3 - The Amazon S3 location of the observation data. =item * DataSchemaLocationS3 - The Amazon S3 location of the C. =item * DataSchema - A JSON string representing the schema. This is not required if C is specified. =item * DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the C. Sample - C< "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"> =back =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateDataSourceFromS3 in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut