Struct aws_sdk_comprehend::model::InputDataConfig[][src]

#[non_exhaustive]
pub struct InputDataConfig { pub s3_uri: Option<String>, pub input_format: Option<InputFormat>, pub document_reader_config: Option<DocumentReaderConfig>, }
Expand description

The input properties for an inference job.

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
s3_uri: Option<String>

The Amazon S3 URI for the input data. The URI must be in same region as the API endpoint that you are calling. The URI can point to a single input file or it can provide the prefix for a collection of data files.

For example, if you use the URI S3://bucketName/prefix, if the prefix is a single file, Amazon Comprehend uses that file as input. If more than one file begins with the prefix, Amazon Comprehend uses all of them as input.

input_format: Option<InputFormat>

Specifies how the text in an input file should be processed:

  • ONE_DOC_PER_FILE - Each file is considered a separate document. Use this option when you are processing large documents, such as newspaper articles or scientific papers.

  • ONE_DOC_PER_LINE - Each line in a file is considered a separate document. Use this option when you are processing many short documents, such as text messages.

document_reader_config: Option<DocumentReaderConfig>

The document reader config field applies only for InputDataConfig of StartEntitiesDetectionJob.

Use DocumentReaderConfig to provide specifications about how you want your inference documents read. Currently it applies for PDF documents in StartEntitiesDetectionJob custom inference.

Implementations

Creates a new builder-style object to manufacture InputDataConfig

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