DocumentClassifierAugmentedManifestsListItemArgs

data class DocumentClassifierAugmentedManifestsListItemArgs(val attributeNames: Output<List<String>>, val s3Uri: Output<String>, val split: Output<DocumentClassifierAugmentedManifestsListItemSplit>? = null) : ConvertibleToJava<DocumentClassifierAugmentedManifestsListItemArgs>

Constructors

constructor(attributeNames: Output<List<String>>, s3Uri: Output<String>, split: Output<DocumentClassifierAugmentedManifestsListItemSplit>? = null)

Properties

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val attributeNames: Output<List<String>>

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.

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val s3Uri: Output<String>

The Amazon S3 location of the augmented manifest file.

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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.

Functions

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open override fun toJava(): DocumentClassifierAugmentedManifestsListItemArgs