Analyze Data Using the SMDebug Client Library

While your training job is running or after it has completed, you can access the training data collected by Debugger using the Amazon SageMaker Python SDK and the SMDebug client library. The SMDebug library provides analysis and visualization tools that enable you to drill down into your training job data.

To install the library and use the SMDebug analysis tools (in a JupyterLab notebook or an iPython kernel)

! pip install -U smdebug

The following topics walk you through how to use the SMDebug tools to visualize and analyze the training data collected by Debugger.

Analyze system and framework metrics