DatasetInputDataConfig
Specifies the format and location of the input data for the dataset.
Contents
- AugmentedManifests
-
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.
Type: Array of DatasetAugmentedManifestsListItem objects
Required: No
- DataFormat
-
COMPREHEND_CSV: The data format is a two-column CSV file, where the first column contains labels and the second column contains documents.AUGMENTED_MANIFEST: The data formatType: String
Valid Values:
COMPREHEND_CSV | AUGMENTED_MANIFESTRequired: No
- DocumentClassifierInputDataConfig
-
The input properties for training a document classifier model.
For more information on how the input file is formatted, see Preparing training data in the Comprehend Developer Guide.
Type: DatasetDocumentClassifierInputDataConfig object
Required: No
- EntityRecognizerInputDataConfig
-
The input properties for training an entity recognizer model.
Type: DatasetEntityRecognizerInputDataConfig object
Required: No
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
