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 }

  • Provides configuration parameters to override the default actions for extracting text from PDF documents and image files.

    By default, Amazon Comprehend performs the following actions to extract text from files, based on the input file type:

    • Word files - Amazon Comprehend parser extracts the text.

    • Digital PDF files - Amazon Comprehend parser extracts the text.

    • Image files and scanned PDF files - Amazon Comprehend uses the Amazon Textract DetectDocumentText API to extract the text.

    DocumentReaderConfig does not apply to plain text files or Word files.

    For image files and PDF documents, you can override these default actions using the fields listed below. For more information, see Setting text extraction options in the Comprehend Developer Guide.

    Declaration

    Objective-C

    @property (nonatomic, strong) AWSComprehendDocumentReaderConfig *_Nullable documentReaderConfig;

    Swift

    var documentReaderConfig: AWSComprehendDocumentReaderConfig? { get set }

  • The type of input documents for training the model. Provide plain-text documents to create a plain-text model, and provide semi-structured documents to create a native document model.

    Declaration

    Objective-C

    @property (nonatomic) AWSComprehendDocumentClassifierDocumentTypeFormat documentType;

    Swift

    var documentType: AWSComprehendDocumentClassifierDocumentTypeFormat { get set }

  • The S3 location of the training documents. This parameter is required in a request to create a native document model.

    Declaration

    Objective-C

    @property (nonatomic, strong) AWSComprehendDocumentClassifierDocuments *_Nullable documents;

    Swift

    var documents: AWSComprehendDocumentClassifierDocuments? { 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 that contains the test annotations for the document classifier. The URI must be in the same Amazon Web Services Region as the API endpoint that you are calling.

    Declaration

    Objective-C

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

    Swift

    var testS3Uri: String? { get set }