AWS sagemaker documentation change
Summary
Replaced references to 'estimator' with 'ModelTrainer' and updated code examples to match SDK changes, including region name retrieval
Security assessment
Changes are purely terminological updates reflecting SDK refactoring (Estimator → ModelTrainer). No security features, vulnerabilities, or security-related context is modified or mentioned in the diff.
Diff
diff --git a/sagemaker/latest/dg/debugger-analyze-data-profiling.md b/sagemaker/latest/dg/debugger-analyze-data-profiling.md index 957f4f1e3..4cbed16ca 100644 --- a//sagemaker/latest/dg/debugger-analyze-data-profiling.md +++ b//sagemaker/latest/dg/debugger-analyze-data-profiling.md @@ -21 +21 @@ You need to specify the `training_job_name` and `region` parameters to log to a - * Use the SageMaker Python SDK while the estimator is still attached to the training job. + * Use the SageMaker Python SDK while the ModelTrainer is still attached to the training job. @@ -24,2 +24,2 @@ You need to specify the `training_job_name` and `region` parameters to log to a - training_job_name=estimator.latest_training_job.job_name - region=sagemaker.Session().boto_region_name + training_job_name=model_trainer.latest_training_job.job_name + region=Session().boto_region_name @@ -39 +39 @@ By default, SageMaker Debugger collects system metrics to monitor hardware resou - * If you use SageMaker Python SDK to manipulate your training job request, pass the `framework_profile_params` to the `profiler_config` argument of your estimator. To learn more, see [Configure SageMaker Debugger Framework Profiling](https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-configure-framework-profiling.html). + * If you use SageMaker Python SDK to manipulate your training job request, pass the `framework_profile_params` to the `profiler_config` argument of your ModelTrainer. To learn more, see [Configure SageMaker Debugger Framework Profiling](https://docs.aws.amazon.com/sagemaker/latest/dg/debugger-configure-framework-profiling.html).