Struct aws_sdk_comprehend::input::CreateEntityRecognizerInput

#[non_exhaustive]
pub struct CreateEntityRecognizerInput {
    pub recognizer_name: Option<String>,
    pub version_name: Option<String>,
    pub data_access_role_arn: Option<String>,
    pub tags: Option<Vec<Tag>>,
    pub input_data_config: Option<EntityRecognizerInputDataConfig>,
    pub client_request_token: Option<String>,
    pub language_code: Option<LanguageCode>,
    pub volume_kms_key_id: Option<String>,
    pub vpc_config: Option<VpcConfig>,
    pub model_kms_key_id: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

recognizer_name: Option<String>

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.

version_name: Option<String>

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/ AWS Region.

data_access_role_arn: Option<String>

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

tags: Option<Vec<Tag>>

Tags to be associated with the entity recognizer 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.

input_data_config: Option<EntityRecognizerInputDataConfig>

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.

client_request_token: Option<String>

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

language_code: Option<LanguageCode>

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

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 entity recognizer. For more information, see Amazon VPC.

model_kms_key_id: Option<String>

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

Implementations

impl CreateEntityRecognizerInput

pub async fn make_operation(
    self,
    _config: &Config
) -> Result<Operation<CreateEntityRecognizer, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<CreateEntityRecognizer>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateEntityRecognizerInput

impl CreateEntityRecognizerInput

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

The name given to the newly created recognizer. Recognizer names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The name must be unique in the account/region.

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

The version name given to the newly created recognizer. Version names can be a maximum of 256 characters. Alphanumeric characters, hyphens (-) and underscores (_) are allowed. The version name must be unique among all models with the same recognizer name in the account/ AWS Region.

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

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

pub fn tags(&self) -> Option<&[Tag]>

Tags to be associated with the entity recognizer 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.

pub fn input_data_config(&self) -> Option<&EntityRecognizerInputDataConfig>

Specifies the format and location of the input data. The S3 bucket containing the input data must be located in the same region as the entity recognizer being created.

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

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

pub fn language_code(&self) -> Option<&LanguageCode>

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

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

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"

pub fn vpc_config(&self) -> Option<&VpcConfig>

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

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

ID for the AWS Key Management Service (KMS) key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId 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"

Trait Implementations

impl Clone for CreateEntityRecognizerInput

fn clone(&self) -> CreateEntityRecognizerInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateEntityRecognizerInput

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

Formats the value using the given formatter.

impl PartialEq<CreateEntityRecognizerInput> for CreateEntityRecognizerInput

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

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

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

This method tests for !=.

impl StructuralPartialEq for CreateEntityRecognizerInput