Struct S3MachineLearningModelResourceData 

#[non_exhaustive]
pub struct S3MachineLearningModelResourceData {
    pub destination_path: Option<String>,
    pub owner_setting: Option<ResourceDownloadOwnerSetting>,
    pub s3_uri: Option<String>,
}

Attributes that define an Amazon S3 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.

s3_uri: Option<String>

The URI of the source model in an S3 bucket. The model package must be in tar.gz or .zip format.

Implementations

impl S3MachineLearningModelResourceData

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 s3_uri(&self) -> Option<&str>

The URI of the source model in an S3 bucket. The model package must be in tar.gz or .zip format.

impl S3MachineLearningModelResourceData

pub fn builder() -> S3MachineLearningModelResourceDataBuilder

Creates a new builder-style object to manufacture S3MachineLearningModelResourceData.

Trait Implementations

impl Clone for S3MachineLearningModelResourceData

fn clone(&self) -> S3MachineLearningModelResourceData

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for S3MachineLearningModelResourceData

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

Formats the value using the given formatter.

impl PartialEq for S3MachineLearningModelResourceData

fn eq(&self, other: &S3MachineLearningModelResourceData) -> 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 S3MachineLearningModelResourceData