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AWS::Comprehend::EntityRecognizer AugmentedManifestsListItem - AWS CloudFormation

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AWS::Comprehend::EntityRecognizer AugmentedManifestsListItem

An augmented manifest file that provides training data for your custom model. An augmented manifest file is a labeled dataset that is produced by Amazon SageMaker Ground Truth.

Syntax

To declare this entity in your CloudFormation template, use the following syntax:

JSON

{ "AnnotationDataS3Uri" : String, "AttributeNames" : [ String, ... ], "DocumentType" : String, "S3Uri" : String, "SourceDocumentsS3Uri" : String, "Split" : String }

YAML

AnnotationDataS3Uri: String AttributeNames: - String DocumentType: String S3Uri: String SourceDocumentsS3Uri: String Split: String

Properties

AnnotationDataS3Uri

The S3 prefix to the annotation files that are referred in the augmented manifest file.

Required: No

Type: String

Pattern: ^s3://[a-z0-9][\.\-a-z0-9]{1,61}[a-z0-9](/.*)?$

Maximum: 1024

Update requires: Replacement

AttributeNames

The JSON attribute that contains the annotations for your training documents. The number of attribute names that you specify depends on whether your augmented manifest file is the output of a single labeling job or a chained labeling job.

If your file is the output of a single labeling job, specify the LabelAttributeName key that was used when the job was created in Ground Truth.

If your file is the output of a chained labeling job, specify the LabelAttributeName key for one or more jobs in the chain. Each LabelAttributeName key provides the annotations from an individual job.

Required: Yes

Type: Array of String

Minimum: 1

Maximum: 63

Update requires: Replacement

DocumentType

The type of augmented manifest. PlainTextDocument or SemiStructuredDocument. If you don't specify, the default is PlainTextDocument.

  • PLAIN_TEXT_DOCUMENT A document type that represents any unicode text that is encoded in UTF-8.

  • SEMI_STRUCTURED_DOCUMENT A document type with positional and structural context, like a PDF. For training with Amazon Comprehend, only PDFs are supported. For inference, Amazon Comprehend support PDFs, DOCX and TXT.

Required: No

Type: String

Allowed values: PLAIN_TEXT_DOCUMENT | SEMI_STRUCTURED_DOCUMENT

Update requires: Replacement

S3Uri

The Amazon S3 location of the augmented manifest file.

Required: Yes

Type: String

Pattern: ^s3://[a-z0-9][\.\-a-z0-9]{1,61}[a-z0-9](/.*)?$

Maximum: 1024

Update requires: Replacement

SourceDocumentsS3Uri

The S3 prefix to the source files (PDFs) that are referred to in the augmented manifest file.

Required: No

Type: String

Pattern: ^s3://[a-z0-9][\.\-a-z0-9]{1,61}[a-z0-9](/.*)?$

Maximum: 1024

Update requires: Replacement

Split

The purpose of the data you've provided in the augmented manifest. You can either train or test this data. If you don't specify, the default is train.

TRAIN - all of the documents in the manifest will be used for training. If no test documents are provided, Amazon Comprehend will automatically reserve a portion of the training documents for testing.

TEST - all of the documents in the manifest will be used for testing.

Required: No

Type: String

Allowed values: TRAIN | TEST

Update requires: Replacement