AWS sagemaker documentation change
Summary
Removed SageMaker Python SDK v2 (Legacy) code examples for model group creation and client setup.
Security assessment
Changes only remove outdated SDK implementation examples without security implications. No security configurations, vulnerabilities, or security features are referenced in the deleted sections.
Diff
diff --git a/sagemaker/latest/dg/model-registry-model-group.md b/sagemaker/latest/dg/model-registry-model-group.md index 5e2a08c7d..f9a0ab4d5 100644 --- a//sagemaker/latest/dg/model-registry-model-group.md +++ b//sagemaker/latest/dg/model-registry-model-group.md @@ -25,3 +24,0 @@ First, import the required packages and set up the SageMaker AI Boto3 client. -SageMaker Python SDK v3 - - @@ -40,15 +36,0 @@ SageMaker Python SDK v3 -SageMaker Python SDK v2 (Legacy) - - - - import time - import os - from sagemaker import get_execution_role, session - import boto3 - - region = boto3.Session().region_name - - role = get_execution_role() - - sm_client = boto3.client('sagemaker', region_name=region) - @@ -57,3 +38,0 @@ Now create the Model Group. -SageMaker Python SDK v3 - - @@ -71,15 +49,0 @@ SageMaker Python SDK v3 -SageMaker Python SDK v2 (Legacy) - - - - import time - import os - from sagemaker import get_execution_role, session - import boto3 - - region = boto3.Session().region_name - - role = get_execution_role() - - sm_client = boto3.client('sagemaker', region_name=region) -