ModelPackageContainerDefinition
import type { ModelPackageContainerDefinition } from "https://aws-api.deno.dev/v0.3/services/sagemaker.ts?docs=full";
Describes the Docker container for the model package.
§Properties
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.
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 Amazon SageMaker, the inference code must meet Amazon SageMaker requirements.
Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats.
For more information, see Using Your Own Algorithms with Amazon SageMaker.
An MD5 hash of the training algorithm that identifies the Docker image used for training.
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).
Note: The model artifacts must be in an S3 bucket that is in the same region as the model package.
A structure with Model Input details.