AWSComprehendDatasetDocumentClassifierInputDataConfig

Objective-C

@interface AWSComprehendDatasetDocumentClassifierInputDataConfig

Swift

class AWSComprehendDatasetDocumentClassifierInputDataConfig

Describes the dataset input data configuration for a document classifier model.

For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.

Required parameters: [S3Uri]

  • 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable labelDelimiter;

    Swift

    var labelDelimiter: String? { get set }

  • 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 S3://bucketName/prefix, 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 DataFormat to COMPREHEND_CSV.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable s3Uri;

    Swift

    var s3Uri: String? { get set }