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
toAUGMENTED_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 theS3Uri
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
toCOMPREHEND_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 }