Struct aws_sdk_sagemaker::types::InferenceExperimentSummary

#[non_exhaustive]
pub struct InferenceExperimentSummary {
    pub name: Option<String>,
    pub type: Option<InferenceExperimentType>,
    pub schedule: Option<InferenceExperimentSchedule>,
    pub status: Option<InferenceExperimentStatus>,
    pub status_reason: Option<String>,
    pub description: Option<String>,
    pub creation_time: Option<DateTime>,
    pub completion_time: Option<DateTime>,
    pub last_modified_time: Option<DateTime>,
    pub role_arn: Option<String>,
}

Lists a summary of properties of an inference experiment.

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.

name: Option<String>

The name of the inference experiment.

type: Option<InferenceExperimentType>

The type of the inference experiment.

schedule: Option<InferenceExperimentSchedule>

The duration for which the inference experiment ran or will run.

The maximum duration that you can set for an inference experiment is 30 days.

status: Option<InferenceExperimentStatus>

The status of the inference experiment.

status_reason: Option<String>

The error message for the inference experiment status result.

description: Option<String>

The description of the inference experiment.

creation_time: Option<DateTime>

The timestamp at which the inference experiment was created.

completion_time: Option<DateTime>

The timestamp at which the inference experiment was completed.

last_modified_time: Option<DateTime>

The timestamp when you last modified the inference experiment.

role_arn: Option<String>

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

Implementations

impl InferenceExperimentSummary

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

The name of the inference experiment.

pub fn type(&self) -> Option<&InferenceExperimentType>

The type of the inference experiment.

pub fn schedule(&self) -> Option<&InferenceExperimentSchedule>

The duration for which the inference experiment ran or will run.

The maximum duration that you can set for an inference experiment is 30 days.

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

The status of the inference experiment.

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

The error message for the inference experiment status result.

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

The description of the inference experiment.

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

The timestamp at which the inference experiment was created.

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

The timestamp at which the inference experiment was completed.

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

The timestamp when you last modified the inference experiment.

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

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

impl InferenceExperimentSummary

pub fn builder() -> InferenceExperimentSummaryBuilder

Creates a new builder-style object to manufacture InferenceExperimentSummary.

Trait Implementations

impl Clone for InferenceExperimentSummary

fn clone(&self) -> InferenceExperimentSummary

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InferenceExperimentSummary

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

Formats the value using the given formatter.

impl PartialEq<InferenceExperimentSummary> for InferenceExperimentSummary

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