DatasetInputDataConfig
¶
Used by
-
AsyncComprehendClient Operationscreate_dataset -
ComprehendClient Operationscreate_dataset
Source code in docs_src/capo_comprehend/types/dataset_input_data_config.py
augmented_manifests
instance-attribute
¶
augmented_manifests: NotRequired[DatasetAugmentedManifestsList]
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.
data_format
instance-attribute
¶
data_format: NotRequired[DatasetDataFormat]
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 format
document_classifier_input_data_config
instance-attribute
¶
document_classifier_input_data_config: NotRequired[
DatasetDocumentClassifierInputDataConfig
]
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.
entity_recognizer_input_data_config
instance-attribute
¶
entity_recognizer_input_data_config: NotRequired[DatasetEntityRecognizerInputDataConfig]
The input properties for training an entity recognizer model.