AugmentedManifestsListItem

import type { AugmentedManifestsListItem } from "https://aws-api.deno.dev/v0.3/services/comprehend.ts?docs=full";

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.

interface AugmentedManifestsListItem {

AnnotationDataS3Uri?: string | null;

AttributeNames: string[];

DocumentType?: AugmentedManifestsDocumentTypeFormat | null;

S3Uri: string;

SourceDocumentsS3Uri?: string | null;

Split?: Split | null;

}

§Properties

AnnotationDataS3Uri?: string | null

[src]

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

AttributeNames: string[]

[src]

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.

DocumentType?: AugmentedManifestsDocumentTypeFormat | null

[src]

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.

S3Uri: string

[src]

The Amazon S3 location of the augmented manifest file.

SourceDocumentsS3Uri?: string | null

[src]

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

Split?: Split | null

[src]

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.