#[non_exhaustive]pub struct ModelPackageContainerDefinition { /* private fields */ }
Expand description
Describes the Docker container for the model package.
Implementations§
source§impl ModelPackageContainerDefinition
impl ModelPackageContainerDefinition
sourcepub fn container_hostname(&self) -> Option<&str>
pub fn container_hostname(&self) -> Option<&str>
The DNS host name for the Docker container.
sourcepub fn image(&self) -> Option<&str>
pub fn image(&self) -> Option<&str>
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
sourcepub fn image_digest(&self) -> Option<&str>
pub fn image_digest(&self) -> Option<&str>
An MD5 hash of the training algorithm that identifies the Docker image used for training.
sourcepub fn model_data_url(&self) -> Option<&str>
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 region as the model package.
sourcepub fn product_id(&self) -> Option<&str>
pub fn product_id(&self) -> Option<&str>
The Amazon Web Services Marketplace product ID of the model package.
sourcepub fn environment(&self) -> Option<&HashMap<String, String>>
pub fn environment(&self) -> Option<&HashMap<String, String>>
The environment variables to set in the Docker container. Each key and value in the Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.
sourcepub fn model_input(&self) -> Option<&ModelInput>
pub fn model_input(&self) -> Option<&ModelInput>
A structure with Model Input details.
sourcepub fn framework(&self) -> Option<&str>
pub fn framework(&self) -> Option<&str>
The machine learning framework of the model package container image.
sourcepub fn framework_version(&self) -> Option<&str>
pub fn framework_version(&self) -> Option<&str>
The framework version of the Model Package Container Image.
sourcepub fn nearest_model_name(&self) -> Option<&str>
pub fn nearest_model_name(&self) -> Option<&str>
The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata
.
source§impl ModelPackageContainerDefinition
impl ModelPackageContainerDefinition
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture ModelPackageContainerDefinition
.
Trait Implementations§
source§impl Clone for ModelPackageContainerDefinition
impl Clone for ModelPackageContainerDefinition
source§fn clone(&self) -> ModelPackageContainerDefinition
fn clone(&self) -> ModelPackageContainerDefinition
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl PartialEq<ModelPackageContainerDefinition> for ModelPackageContainerDefinition
impl PartialEq<ModelPackageContainerDefinition> for ModelPackageContainerDefinition
source§fn eq(&self, other: &ModelPackageContainerDefinition) -> bool
fn eq(&self, other: &ModelPackageContainerDefinition) -> bool
self
and other
values to be equal, and is used
by ==
.