Struct aws_sdk_comprehend::types::DatasetEntityRecognizerDocuments

#[non_exhaustive]
pub struct DatasetEntityRecognizerDocuments { /* private fields */ }

Describes the documents submitted with a dataset for an entity recognizer model.

Implementations

impl DatasetEntityRecognizerDocuments

pub fn s3_uri(&self) -> Option<&str>

Specifies the Amazon S3 location where the documents for the dataset are located.

pub fn input_format(&self) -> Option<&InputFormat>

Specifies how the text in an input file should be processed. This is optional, and the default is ONE_DOC_PER_LINE. 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.

impl DatasetEntityRecognizerDocuments

pub fn builder() -> DatasetEntityRecognizerDocumentsBuilder

Creates a new builder-style object to manufacture DatasetEntityRecognizerDocuments.

Trait Implementations

impl Clone for DatasetEntityRecognizerDocuments

fn clone(&self) -> DatasetEntityRecognizerDocuments

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DatasetEntityRecognizerDocuments

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<DatasetEntityRecognizerDocuments> for DatasetEntityRecognizerDocuments

fn eq(&self, other: &DatasetEntityRecognizerDocuments) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DatasetEntityRecognizerDocuments