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` # Generated by default/object.tt package Paws::Comprehend::DocumentClassifierInputDataConfig; use Moose; has AugmentedManifests => (is => 'ro', isa => 'ArrayRef[Paws::Comprehend::AugmentedManifestsListItem]'); has DataFormat => (is => 'ro', isa => 'Str'); has LabelDelimiter => (is => 'ro', isa => 'Str'); has S3Uri => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::Comprehend::DocumentClassifierInputDataConfig =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::Comprehend::DocumentClassifierInputDataConfig object: $service_obj->Method(Att1 => { AugmentedManifests => $value, ..., S3Uri => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Comprehend::DocumentClassifierInputDataConfig object: $result = $service_obj->Method(...); $result->Att1->AugmentedManifests =head1 DESCRIPTION The input properties for training a document classifier. For more information on how the input file is formatted, see how-document-classification-training-data. =head1 ATTRIBUTES =head2 AugmentedManifests => ArrayRef[L] A list of augmented manifest files that provide training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth. This parameter is required if you set C to C. =head2 DataFormat => Str The format of your training data: =over =item * C: A two-column CSV file, where labels are provided in the first column, and documents are provided in the second. If you use this value, you must provide the C parameter in your request. =item * C: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its associated labels. If you use this value, you must provide the C parameter in your request. =back If you don't specify a value, Amazon Comprehend uses C as the default. =head2 LabelDelimiter => Str Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL. =head2 S3Uri => Str The Amazon S3 URI for the input data. The S3 bucket must be in the same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of input files. For example, if you use the URI C, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input. This parameter is required if you set C to C. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut