Struct BatchInferenceJob 

#[non_exhaustive]
pub struct BatchInferenceJob {

    pub job_name: Option<String>,
    pub batch_inference_job_arn: Option<String>,
    pub filter_arn: Option<String>,
    pub failure_reason: Option<String>,
    pub solution_version_arn: Option<String>,
    pub num_results: Option<i32>,
    pub job_input: Option<BatchInferenceJobInput>,
    pub job_output: Option<BatchInferenceJobOutput>,
    pub batch_inference_job_config: Option<BatchInferenceJobConfig>,
    pub role_arn: Option<String>,
    pub batch_inference_job_mode: Option<BatchInferenceJobMode>,
    pub theme_generation_config: Option<ThemeGenerationConfig>,
    pub status: Option<String>,
    pub creation_date_time: Option<DateTime>,
    pub last_updated_date_time: Option<DateTime>,
}

Contains information on a batch inference job.

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.

job_name: Option<String>

The name of the batch inference job.

batch_inference_job_arn: Option<String>

The Amazon Resource Name (ARN) of the batch inference job.

filter_arn: Option<String>

The ARN of the filter used on the batch inference job.

failure_reason: Option<String>

If the batch inference job failed, the reason for the failure.

solution_version_arn: Option<String>

The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

num_results: Option<i32>

The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

job_input: Option<BatchInferenceJobInput>

The Amazon S3 path that leads to the input data used to generate the batch inference job.

job_output: Option<BatchInferenceJobOutput>

The Amazon S3 bucket that contains the output data generated by the batch inference job.

batch_inference_job_config: Option<BatchInferenceJobConfig>

A string to string map of the configuration details of a batch inference job.

role_arn: Option<String>

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

batch_inference_job_mode: Option<BatchInferenceJobMode>

The job's mode.

theme_generation_config: Option<ThemeGenerationConfig>

The job's theme generation settings.

status: Option<String>

The status of the batch inference job. The status is one of the following values:

• PENDING

• IN PROGRESS

• ACTIVE

• CREATE FAILED

creation_date_time: Option<DateTime>

The time at which the batch inference job was created.

last_updated_date_time: Option<DateTime>

The time at which the batch inference job was last updated.

Implementations

impl BatchInferenceJob

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

The name of the batch inference job.

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

The Amazon Resource Name (ARN) of the batch inference job.

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

The ARN of the filter used on the batch inference job.

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

If the batch inference job failed, the reason for the failure.

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

The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

pub fn num_results(&self) -> Option<i32>

The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

pub fn job_input(&self) -> Option<&BatchInferenceJobInput>

The Amazon S3 path that leads to the input data used to generate the batch inference job.

pub fn job_output(&self) -> Option<&BatchInferenceJobOutput>

The Amazon S3 bucket that contains the output data generated by the batch inference job.

pub fn batch_inference_job_config(&self) -> Option<&BatchInferenceJobConfig>

A string to string map of the configuration details of a batch inference job.

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

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

pub fn batch_inference_job_mode(&self) -> Option<&BatchInferenceJobMode>

The job's mode.

pub fn theme_generation_config(&self) -> Option<&ThemeGenerationConfig>

The job's theme generation settings.

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

The status of the batch inference job. The status is one of the following values:

• PENDING

• IN PROGRESS

• ACTIVE

• CREATE FAILED

pub fn creation_date_time(&self) -> Option<&DateTime>

The time at which the batch inference job was created.

pub fn last_updated_date_time(&self) -> Option<&DateTime>

The time at which the batch inference job was last updated.

impl BatchInferenceJob

pub fn builder() -> BatchInferenceJobBuilder

Creates a new builder-style object to manufacture BatchInferenceJob.

Trait Implementations

impl Clone for BatchInferenceJob

fn clone(&self) -> BatchInferenceJob

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BatchInferenceJob

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

Formats the value using the given formatter.

impl PartialEq for BatchInferenceJob

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for BatchInferenceJob