Struct DescribeInferenceRecommendationsJobOutput 

#[non_exhaustive]
pub struct DescribeInferenceRecommendationsJobOutput {

    pub job_name: Option<String>,
    pub job_description: Option<String>,
    pub job_type: Option<RecommendationJobType>,
    pub job_arn: Option<String>,
    pub role_arn: Option<String>,
    pub status: Option<RecommendationJobStatus>,
    pub creation_time: Option<DateTime>,
    pub completion_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub failure_reason: Option<String>,
    pub input_config: Option<RecommendationJobInputConfig>,
    pub stopping_conditions: Option<RecommendationJobStoppingConditions>,
    pub inference_recommendations: Option<Vec<InferenceRecommendation>>,
    pub endpoint_performances: Option<Vec<EndpointPerformance>>,
    /* private fields */
}

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 job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

job_description: Option<String>

The job description that you provided when you initiated the job.

job_type: Option<RecommendationJobType>

The job type that you provided when you initiated the job.

job_arn: Option<String>

The Amazon Resource Name (ARN) of the job.

role_arn: Option<String>

The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided when you initiated the job.

status: Option<RecommendationJobStatus>

The status of the job.

creation_time: Option<DateTime>

A timestamp that shows when the job was created.

completion_time: Option<DateTime>

A timestamp that shows when the job completed.

last_modified_time: Option<DateTime>

A timestamp that shows when the job was last modified.

failure_reason: Option<String>

If the job fails, provides information why the job failed.

input_config: Option<RecommendationJobInputConfig>

Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations you provided when you initiated the job.

stopping_conditions: Option<RecommendationJobStoppingConditions>

The stopping conditions that you provided when you initiated the job.

inference_recommendations: Option<Vec<InferenceRecommendation>>

The recommendations made by Inference Recommender.

endpoint_performances: Option<Vec<EndpointPerformance>>

The performance results from running an Inference Recommender job on an existing endpoint.

Implementations

impl DescribeInferenceRecommendationsJobOutput

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

The name of the job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

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

The job description that you provided when you initiated the job.

pub fn job_type(&self) -> Option<&RecommendationJobType>

The job type that you provided when you initiated the job.

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

The Amazon Resource Name (ARN) of the job.

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

The Amazon Resource Name (ARN) of the Amazon Web Services Identity and Access Management (IAM) role you provided when you initiated the job.

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

The status of the job.

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

A timestamp that shows when the job was created.

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

A timestamp that shows when the job completed.

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

A timestamp that shows when the job was last modified.

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

If the job fails, provides information why the job failed.

pub fn input_config(&self) -> Option<&RecommendationJobInputConfig>

Returns information about the versioned model package Amazon Resource Name (ARN), the traffic pattern, and endpoint configurations you provided when you initiated the job.

pub fn stopping_conditions( &self, ) -> Option<&RecommendationJobStoppingConditions>

The stopping conditions that you provided when you initiated the job.

pub fn inference_recommendations(&self) -> &[InferenceRecommendation]

The recommendations made by Inference Recommender.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .inference_recommendations.is_none().

pub fn endpoint_performances(&self) -> &[EndpointPerformance]

The performance results from running an Inference Recommender job on an existing endpoint.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .endpoint_performances.is_none().

impl DescribeInferenceRecommendationsJobOutput

pub fn builder() -> DescribeInferenceRecommendationsJobOutputBuilder

Creates a new builder-style object to manufacture DescribeInferenceRecommendationsJobOutput.

Trait Implementations

impl Clone for DescribeInferenceRecommendationsJobOutput

fn clone(&self) -> DescribeInferenceRecommendationsJobOutput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeInferenceRecommendationsJobOutput

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

Formats the value using the given formatter.

impl PartialEq for DescribeInferenceRecommendationsJobOutput

fn eq(&self, other: &DescribeInferenceRecommendationsJobOutput) -> 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 RequestId for DescribeInferenceRecommendationsJobOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for DescribeInferenceRecommendationsJobOutput