Struct aws_sdk_sagemaker::model::SearchRecord

#[non_exhaustive]
pub struct SearchRecord {
    pub training_job: Option<TrainingJob>,
    pub experiment: Option<Experiment>,
    pub trial: Option<Trial>,
    pub trial_component: Option<TrialComponent>,
    pub endpoint: Option<Endpoint>,
    pub model_package: Option<ModelPackage>,
    pub model_package_group: Option<ModelPackageGroup>,
    pub pipeline: Option<Pipeline>,
    pub pipeline_execution: Option<PipelineExecution>,
    pub feature_group: Option<FeatureGroup>,
    pub project: Option<Project>,
}

A single resource returned as part of the Search API response.

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.

training_job: Option<TrainingJob>

The properties of a training job.

experiment: Option<Experiment>

The properties of an experiment.

trial: Option<Trial>

The properties of a trial.

trial_component: Option<TrialComponent>

The properties of a trial component.

endpoint: Option<Endpoint>

A hosted endpoint for real-time inference.

model_package: Option<ModelPackage>

A versioned model that can be deployed for SageMaker inference.

model_package_group: Option<ModelPackageGroup>

A group of versioned models in the model registry.

pipeline: Option<Pipeline>

A SageMaker Model Building Pipeline instance.

pipeline_execution: Option<PipelineExecution>

An execution of a pipeline.

feature_group: Option<FeatureGroup>

Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.

project: Option<Project>

The properties of a project.

Implementations

impl SearchRecord

pub fn training_job(&self) -> Option<&TrainingJob>

The properties of a training job.

pub fn experiment(&self) -> Option<&Experiment>

The properties of an experiment.

pub fn trial(&self) -> Option<&Trial>

The properties of a trial.

pub fn trial_component(&self) -> Option<&TrialComponent>

The properties of a trial component.

pub fn endpoint(&self) -> Option<&Endpoint>

A hosted endpoint for real-time inference.

pub fn model_package(&self) -> Option<&ModelPackage>

A versioned model that can be deployed for SageMaker inference.

pub fn model_package_group(&self) -> Option<&ModelPackageGroup>

A group of versioned models in the model registry.

pub fn pipeline(&self) -> Option<&Pipeline>

A SageMaker Model Building Pipeline instance.

pub fn pipeline_execution(&self) -> Option<&PipelineExecution>

An execution of a pipeline.

pub fn feature_group(&self) -> Option<&FeatureGroup>

Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.

pub fn project(&self) -> Option<&Project>

The properties of a project.

impl SearchRecord

pub fn builder() -> Builder

Creates a new builder-style object to manufacture SearchRecord

Trait Implementations

impl Clone for SearchRecord

fn clone(&self) -> SearchRecord

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SearchRecord

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

Formats the value using the given formatter.

impl PartialEq<SearchRecord> for SearchRecord

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

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

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

This method tests for !=.

impl StructuralPartialEq for SearchRecord