Struct rusoto_comprehend::DocumentClassifierInputDataConfig

pub struct DocumentClassifierInputDataConfig {
    pub augmented_manifests: Option<Vec<AugmentedManifestsListItem>>,
    pub data_format: Option<String>,
    pub label_delimiter: Option<String>,
    pub s3_uri: Option<String>,
}

The input properties for training a document classifier.

For more information on how the input file is formatted, see how-document-classification-training-data.

Fields

augmented_manifests: Option<Vec<AugmentedManifestsListItem>>

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.

This parameter is required if you set DataFormat to AUGMENTED_MANIFEST.

data_format: Option<String>

The format of your training data:

• COMPREHEND_CSV: A two-column CSV file, where labels are provided in the first column, and documents are provided in the second. If you use this value, you must provide the S3Uri parameter in your request.

• AUGMENTED_MANIFEST: A labeled dataset that is produced by Amazon SageMaker Ground Truth. This file is in JSON lines format. Each line is a complete JSON object that contains a training document and its associated labels.

  If you use this value, you must provide the AugmentedManifests parameter in your request.

If you don't specify a value, Amazon Comprehend uses COMPREHEND_CSV as the default.

label_delimiter: Option<String>

Indicates the delimiter used to separate each label for training a multi-label classifier. The default delimiter between labels is a pipe (|). You can use a different character as a delimiter (if it's an allowed character) by specifying it under Delimiter for labels. If the training documents use a delimiter other than the default or the delimiter you specify, the labels on that line will be combined to make a single unique label, such as LABELLABELLABEL.

s3_uri: Option<String>

The Amazon S3 URI for the input data. The S3 bucket must be in the 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 input 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.

This parameter is required if you set DataFormat to COMPREHEND_CSV.

Trait Implementations

impl Clone for DocumentClassifierInputDataConfig

pub fn clone(&self) -> DocumentClassifierInputDataConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DocumentClassifierInputDataConfig

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

Formats the value using the given formatter.

impl Default for DocumentClassifierInputDataConfig

pub fn default() -> DocumentClassifierInputDataConfig

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for DocumentClassifierInputDataConfig

pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<DocumentClassifierInputDataConfig> for DocumentClassifierInputDataConfig

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

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

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

This method tests for !=.

impl Serialize for DocumentClassifierInputDataConfig

pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DocumentClassifierInputDataConfig