Prebuilt Amazon SageMaker Docker Images for Scikit-learn and Spark ML - Amazon SageMaker

Prebuilt Amazon SageMaker Docker Images for Scikit-learn and Spark ML

SageMaker provides prebuilt Docker images that install the scikit-learn and Spark ML libraries. These libraries also include the dependencies needed to build Docker images that are compatible with SageMaker using the Amazon SageMaker Python SDK. With the SDK, you can use scikit-learn for machine learning tasks and use Spark ML to create and tune machine learning pipelines. For instructions on installing and using the SDK, see SageMaker Python SDK.

Using the SageMaker Python SDK

The following table contains links to the GitHub repositories with the source code for the scikit-learn and Spark ML containers. The table also contains links to instructions that show how use these containers with Python SDK estimators to run your own training algorithms and hosting your own models.

Specifying the Prebuilt Images Manually

If you are not using the SageMaker Python SDK and one of its estimators to manage the container, you have to retrieve the relevant prebuilt container manually. The SageMaker prebuilt Docker images are stored in Amazon Elastic Container Registry (Amazon ECR). You can push or pull them using their fullname registry addresses. SageMaker uses the following Docker Image URL patterns for scikit-learn and Spark M:


    For example,


    For example,

The following table lists the supported values for account IDs and corresponding AWS Region names.

746614075791 us-west-1
246618743249 us-west-2
683313688378 us-east-1
257758044811 us-east-2
354813040037 ap-northeast-1
366743142698 ap-northeast-2
121021644041 ap-southeast-1
783357654285 ap-southeast-2
720646828776 ap-south-1
141502667606 eu-west-1
764974769150 eu-west-2
492215442770 eu-central-1
341280168497 ca-central-1
414596584902 us-gov-west-1

Finding Available Images

Use the following commands to find out which versions of the images are available. For example, use the following to find the available sagemaker-sparkml-serving image in the ca-central-1 Region:

aws \ ecr describe-images \ --region ca-central-1 \ --registry-id 341280168497 \ --repository-name sagemaker-sparkml-serving