Struct rusoto_comprehend::CreateDocumentClassifierRequest

pub struct CreateDocumentClassifierRequest {
    pub client_request_token: Option<String>,
    pub data_access_role_arn: String,
    pub document_classifier_name: String,
    pub input_data_config: DocumentClassifierInputDataConfig,
    pub language_code: String,
    pub mode: Option<String>,
    pub output_data_config: Option<DocumentClassifierOutputDataConfig>,
    pub tags: Option<Vec<Tag>>,
    pub volume_kms_key_id: Option<String>,
    pub vpc_config: Option<VpcConfig>,
}

Fields

client_request_token: Option<String>

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

data_access_role_arn: String

The Amazon Resource Name (ARN) of the AWS Identity and Management (IAM) role that grants Amazon Comprehend read access to your input data.

document_classifier_name: String

The name of the document classifier.

input_data_config: DocumentClassifierInputDataConfig

Specifies the format and location of the input data for the job.

language_code: String

The language of the input documents. You can specify any of the following languages supported by Amazon Comprehend: German ("de"), English ("en"), Spanish ("es"), French ("fr"), Italian ("it"), or Portuguese ("pt"). All documents must be in the same language.

mode: Option<String>

Indicates the mode in which the classifier will be trained. The classifier can be trained in multi-class mode, which identifies one and only one class for each document, or multi-label mode, which identifies one or more labels for each document. In multi-label mode, multiple labels for an individual document are separated by a delimiter. The default delimiter between labels is a pipe (|).

output_data_config: Option<DocumentClassifierOutputDataConfig>

Enables the addition of output results configuration parameters for custom classifier jobs.

tags: Option<Vec<Tag>>

Tags to be associated with the document classifier being created. A tag is a key-value pair that adds as a metadata to a resource used by Amazon Comprehend. For example, a tag with "Sales" as the key might be added to a resource to indicate its use by the sales department.

volume_kms_key_id: Option<String>

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt data on the storage volume attached to the ML compute instance(s) that process the analysis job. The VolumeKmsKeyId can be either of the following formats:

• KMS Key ID: "1234abcd-12ab-34cd-56ef-1234567890ab"

• Amazon Resource Name (ARN) of a KMS Key: "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

vpc_config: Option<VpcConfig>

Configuration parameters for an optional private Virtual Private Cloud (VPC) containing the resources you are using for your custom classifier. For more information, see Amazon VPC.

Trait Implementations

impl Clone for CreateDocumentClassifierRequest

pub fn clone(&self) -> CreateDocumentClassifierRequest

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDocumentClassifierRequest

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

Formats the value using the given formatter.

impl Default for CreateDocumentClassifierRequest

pub fn default() -> CreateDocumentClassifierRequest

Returns the "default value" for a type.

impl PartialEq<CreateDocumentClassifierRequest> for CreateDocumentClassifierRequest

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

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

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

This method tests for !=.

impl Serialize for CreateDocumentClassifierRequest

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 CreateDocumentClassifierRequest