AWS sagemaker documentation change
Summary
Removed SageMaker Python SDK v3 placeholder and v2 legacy code examples for uncompressed training job creation
Security assessment
Change removes outdated SDK examples without mentioning security vulnerabilities, weaknesses, or incidents. No security context is present in the diff.
Diff
diff --git a/sagemaker/latest/dg/model-train-storage-uncompressed.md b/sagemaker/latest/dg/model-train-storage-uncompressed.md index 8e4d7ae21..7b8a84f2e 100644 --- a//sagemaker/latest/dg/model-train-storage-uncompressed.md +++ b//sagemaker/latest/dg/model-train-storage-uncompressed.md @@ -28,3 +27,0 @@ The following code example shows you how to create a training job in uncompresse -SageMaker Python SDK v3 - - @@ -47,16 +43,0 @@ SageMaker Python SDK v3 -SageMaker Python SDK v2 (Legacy) - - - - import sagemaker - from sagemaker.estimator import Estimator - - estimator = Estimator( - image_uri="your-own-image-uri", - role=sagemaker.get_execution_role(), - sagemaker_session=sagemaker.Session(), - instance_count=1, - instance_type='ml.c4.xlarge', - disable_output_compression=True - ) -