#[non_exhaustive]pub struct DatasetEntityRecognizerDocuments {
pub s3_uri: String,
pub input_format: Option<InputFormat>,
}
Expand description
Describes the documents submitted with a dataset for an entity recognizer model.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.s3_uri: String
Specifies the Amazon S3 location where the documents for the dataset are located.
input_format: 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.
Implementations§
source§impl DatasetEntityRecognizerDocuments
impl DatasetEntityRecognizerDocuments
sourcepub fn s3_uri(&self) -> &str
pub fn s3_uri(&self) -> &str
Specifies the Amazon S3 location where the documents for the dataset are located.
sourcepub fn input_format(&self) -> Option<&InputFormat>
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.
source§impl DatasetEntityRecognizerDocuments
impl DatasetEntityRecognizerDocuments
sourcepub fn builder() -> DatasetEntityRecognizerDocumentsBuilder
pub fn builder() -> DatasetEntityRecognizerDocumentsBuilder
Creates a new builder-style object to manufacture DatasetEntityRecognizerDocuments
.
Trait Implementations§
source§impl Clone for DatasetEntityRecognizerDocuments
impl Clone for DatasetEntityRecognizerDocuments
source§fn clone(&self) -> DatasetEntityRecognizerDocuments
fn clone(&self) -> DatasetEntityRecognizerDocuments
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl PartialEq for DatasetEntityRecognizerDocuments
impl PartialEq for DatasetEntityRecognizerDocuments
source§fn eq(&self, other: &DatasetEntityRecognizerDocuments) -> bool
fn eq(&self, other: &DatasetEntityRecognizerDocuments) -> bool
self
and other
values to be equal, and is used
by ==
.