SageMaker Debugger interactive report for XGBoost
Note
After careful consideration, we have made the decision to close new customer access to Amazon Sagemaker Debugger, effective 7/30/26. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Debugger, but we do not plan to introduce new features. For more information, see Debugger availability change.
Receive training reports autogenerated by Debugger. The Debugger reports provide insights into
your training jobs and suggest recommendations to improve your model performance.
For SageMaker AI XGBoost training jobs, use the Debugger CreateXgboostReport rule to receive a comprehensive training
report of the training progress and results. Following this guide, specify the CreateXgboostReport rule while
constructing an XGBoost ModelTrainer, download the report using the Amazon SageMaker Python SDK
Note
You can download a Debugger reports while your training job is running or after the job has finished. During training, Debugger concurrently updates the report reflecting the current rules' evaluation status. You can download a complete Debugger report only after the training job has completed.
Important
In the report, plots and recommendations are provided for informational purposes and are not definitive. You are responsible for making your own independent assessment of the information.
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