AWS sagemaker documentation change
Summary
Updated terminology from 'estimators' to 'ModelTrainers' and updated link to SageMaker Python SDK documentation
Security assessment
The change involves terminology updates and link corrections without addressing security vulnerabilities or weaknesses. The Rootless Docker configuration mention remains unchanged.
Diff
diff --git a/sagemaker/latest/dg/studio-updated-local.md b/sagemaker/latest/dg/studio-updated-local.md index 2312786d5..eadfdfc44 100644 --- a//sagemaker/latest/dg/studio-updated-local.md +++ b//sagemaker/latest/dg/studio-updated-local.md @@ -17 +17 @@ Custom IAM policies that allow Amazon SageMaker Studio or Amazon SageMaker Studi -Amazon SageMaker Studio applications support the use of local mode to create estimators, processors, and pipelines, then deploy them to a local environment. With local mode, you can test machine learning scripts before running them in Amazon SageMaker AI managed training or hosting environments. Studio supports local mode in the following applications: +Amazon SageMaker Studio applications support the use of local mode to create ModelTrainers, processors, and pipelines, then deploy them to a local environment. With local mode, you can test machine learning scripts before running them in Amazon SageMaker AI managed training or hosting environments. Studio supports local mode in the following applications: @@ -28 +28 @@ Amazon SageMaker Studio applications support the use of local mode to create est -Local mode in Studio applications is invoked using the SageMaker Python SDK. In Studio applications, local mode functions similarly to how it functions in Amazon SageMaker notebook instances, with some differences. With the [Rootless Docker configuration](./studio-updated-local-get-started.html#studio-updated-local-rootless) enabled, you can also access additional Docker registries through your VPC configuration, including on-premises repositories, and public registries. For more information about using local mode with the SageMaker Python SDK, see [Local Mode](https://sagemaker.readthedocs.io/en/stable/overview.html#local-mode). +Local mode in Studio applications is invoked using the SageMaker Python SDK. In Studio applications, local mode functions similarly to how it functions in Amazon SageMaker notebook instances, with some differences. With the [Rootless Docker configuration](./studio-updated-local-get-started.html#studio-updated-local-rootless) enabled, you can also access additional Docker registries through your VPC configuration, including on-premises repositories, and public registries. For more information about using local mode with the SageMaker Python SDK, see [Local Mode](https://sagemaker.readthedocs.io/en/stable/api/sagemaker_train.html).