Struct aws_sdk_greengrass::model::SageMakerMachineLearningModelResourceData

#[non_exhaustive]
pub struct SageMakerMachineLearningModelResourceData {
    pub destination_path: Option<String>,
    pub owner_setting: Option<ResourceDownloadOwnerSetting>,
    pub sage_maker_job_arn: Option<String>,
}

Attributes that define an Amazon SageMaker machine learning resource.

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.

destination_path: Option<String>

The absolute local path of the resource inside the Lambda environment.

owner_setting: Option<ResourceDownloadOwnerSetting>

The owner setting for downloaded machine learning resources.

sage_maker_job_arn: Option<String>

The ARN of the Amazon SageMaker training job that represents the source model.

Implementations

impl SageMakerMachineLearningModelResourceData

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

The absolute local path of the resource inside the Lambda environment.

pub fn owner_setting(&self) -> Option<&ResourceDownloadOwnerSetting>

The owner setting for downloaded machine learning resources.

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

The ARN of the Amazon SageMaker training job that represents the source model.

impl SageMakerMachineLearningModelResourceData

pub fn builder() -> Builder

Creates a new builder-style object to manufacture SageMakerMachineLearningModelResourceData

Trait Implementations

impl Clone for SageMakerMachineLearningModelResourceData

fn clone(&self) -> SageMakerMachineLearningModelResourceData

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SageMakerMachineLearningModelResourceData

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

Formats the value using the given formatter.

impl PartialEq<SageMakerMachineLearningModelResourceData> for SageMakerMachineLearningModelResourceData

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

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

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

This method tests for !=.

impl StructuralPartialEq for SageMakerMachineLearningModelResourceData