AWS sagemaker documentation change

Service: sagemaker · 2026-07-01 · Documentation low

File: sagemaker/latest/dg/sagemaker-mkt-algo-tune.md

Summary

Removed SageMaker Python SDK v2 (Legacy) code examples and empty section headers

Security assessment

Removal of legacy code samples. No security vulnerabilities mentioned or addressed.

Diff

diff --git a/sagemaker/latest/dg/sagemaker-mkt-algo-tune.md b/sagemaker/latest/dg/sagemaker-mkt-algo-tune.md
index 44659622c..a6466e818 100644
--- a//sagemaker/latest/dg/sagemaker-mkt-algo-tune.md
+++ b//sagemaker/latest/dg/sagemaker-mkt-algo-tune.md
@@ -121,3 +120,0 @@ Use an algorithm that you created or subscribed to on AWS Marketplace to create
-SageMaker Python SDK v3
-    
-    
@@ -150,31 +146,0 @@ SageMaker Python SDK v3
-SageMaker Python SDK v2 (Legacy)
-    
-    
-    
-    from sagemaker import AlgorithmEstimator
-    from sagemaker.tuner import HyperparameterTuner
-    
-    data_path = os.path.join(DATA_DIR, 'marketplace', 'training')
-    
-    algo = AlgorithmEstimator(
-                algorithm_arn='arn:aws:sagemaker:us-east-2:764419575721:algorithm/scikit-decision-trees-1542410022',
-                role='SageMakerRole',
-                instance_count=1,
-                instance_type='ml.c4.xlarge',
-                sagemaker_session=sagemaker_session,
-                base_job_name='test-marketplace')
-    
-    train_input = algo.sagemaker_session.upload_data(
-        path=data_path, key_prefix='integ-test-data/marketplace/train')
-    
-    algo.set_hyperparameters(max_leaf_nodes=10)
-    tuner = HyperparameterTuner(estimator=algo, base_tuning_job_name='some-name',
-                                    objective_metric_name='validation:accuracy',
-                                    hyperparameter_ranges=hyperparameter_ranges,
-                                    max_jobs=2, max_parallel_jobs=2)
-    
-    tuner.fit({'training': train_input}, include_cls_metadata=False)
-    tuner.wait()
-    
-    
-