Struct SourceAlgorithm

#[non_exhaustive]
pub struct SourceAlgorithm {
    pub model_data_url: Option<String>,
    pub model_data_source: Option<ModelDataSource>,
    pub model_data_e_tag: Option<String>,
    pub algorithm_name: Option<String>,
}

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

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.

model_data_url: Option<String>

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.

model_data_source: Option<ModelDataSource>

Specifies the location of ML model data to deploy during endpoint creation.

model_data_e_tag: Option<String>

The ETag associated with Model Data URL.

algorithm_name: Option<String>

The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

Implementations

impl SourceAlgorithm

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

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same Amazon Web Services region as the algorithm.

pub fn model_data_source(&self) -> Option<&ModelDataSource>

Specifies the location of ML model data to deploy during endpoint creation.

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

The ETag associated with Model Data URL.

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

The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

impl SourceAlgorithm

pub fn builder() -> SourceAlgorithmBuilder

Creates a new builder-style object to manufacture SourceAlgorithm.

Trait Implementations

impl Clone for SourceAlgorithm

fn clone(&self) -> SourceAlgorithm

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SourceAlgorithm

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

Formats the value using the given formatter.

impl PartialEq for SourceAlgorithm

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