Struct aws_sdk_comprehend::input::StartTargetedSentimentDetectionJobInput

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

Implementations

impl StartTargetedSentimentDetectionJobInput

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

Consumes the builder and constructs an Operation<StartTargetedSentimentDetectionJob>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture StartTargetedSentimentDetectionJobInput.

impl StartTargetedSentimentDetectionJobInput

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

The input properties for an inference job.

pub fn output_data_config(&self) -> Option<&OutputDataConfig>

Specifies where to send the output files.

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

The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that grants Amazon Comprehend read access to your input data. For more information, see Role-based permissions.

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

The identifier of the job.

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

The language of the input documents. Currently, English is the only supported language.

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

ID for the 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 the job. For more information, see Amazon VPC.

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

Tags to be associated with the targeted sentiment detection job. A tag is a key-value pair that adds 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.

Trait Implementations

impl Clone for StartTargetedSentimentDetectionJobInput

fn clone(&self) -> StartTargetedSentimentDetectionJobInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for StartTargetedSentimentDetectionJobInput

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

Formats the value using the given formatter.

impl PartialEq<StartTargetedSentimentDetectionJobInput> for StartTargetedSentimentDetectionJobInput

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