Struct aws_sdk_comprehend::types::builders::DatasetEntityRecognizerDocumentsBuilder

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

A builder for DatasetEntityRecognizerDocuments.

Implementations

impl DatasetEntityRecognizerDocumentsBuilder

pub fn s3_uri(self, input: impl Into<String>) -> Self

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

This field is required.

pub fn set_s3_uri(self, input: Option<String>) -> Self

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

pub fn get_s3_uri(&self) -> &Option<String>

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

pub fn input_format(self, input: InputFormat) -> Self

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.

pub fn set_input_format(self, input: Option<InputFormat>) -> Self

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.

pub fn get_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.

pub fn build(self) -> Result<DatasetEntityRecognizerDocuments, BuildError>

Consumes the builder and constructs a DatasetEntityRecognizerDocuments. This method will fail if any of the following fields are not set:

• s3_uri

Trait Implementations

impl Clone for DatasetEntityRecognizerDocumentsBuilder

fn clone(&self) -> DatasetEntityRecognizerDocumentsBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetEntityRecognizerDocumentsBuilder

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

Formats the value using the given formatter.

impl Default for DatasetEntityRecognizerDocumentsBuilder

fn default() -> DatasetEntityRecognizerDocumentsBuilder

Returns the “default value” for a type.

impl PartialEq for DatasetEntityRecognizerDocumentsBuilder

fn eq(&self, other: &DatasetEntityRecognizerDocumentsBuilder) -> 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 DatasetEntityRecognizerDocumentsBuilder