AWSComprehendDocumentClassifierInputDataConfig

Objective-C

@interface AWSComprehendDocumentClassifierInputDataConfig

Swift

class AWSComprehendDocumentClassifierInputDataConfig

The input properties for training a document classifier.

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

  • 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 DataFormat to AUGMENTED_MANIFEST.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSArray<AWSComprehendAugmentedManifestsListItem *> *_Nullable augmentedManifests;

    Swift

    var augmentedManifests: [AWSComprehendAugmentedManifestsListItem]? { get set }

  • The format of your training data:

    • COMPREHEND_CSV: 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 S3Uri parameter in your request.

    • AUGMENTED_MANIFEST: 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 AugmentedManifests parameter in your request.

    If you don’t specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.

    Declaration

    Objective-C

    @property (nonatomic) AWSComprehendDocumentClassifierDataFormat dataFormat;

    Swift

    var dataFormat: AWSComprehendDocumentClassifierDataFormat { get set }

  • 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 }

  • This specifies the Amazon S3 location where the test annotations for an entity recognizer are located. The URI must be in the same AWS Region as the API endpoint that you are calling.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSString *_Nullable testS3Uri;

    Swift

    var testS3Uri: String? { get set }