Amazon SageMaker Experiments launches new capabilities to manage ML experiments performed in diverse IDEs

Amazon SageMaker Experiments launches new capabilities to manage ML experiments performed in diverse IDEs

Amazon SageMaker Experiments now supports tracking and analysis of machine learning (ML) experiments performed in any IDE (e.g., SageMaker Studio, JupyterHub) or executable code (e.g., local notebooks, scripts) using the SageMaker Python SDK or Boto3. You can track the inputs, parameters, configurations, and results of your ML training iterations. You can assign, group, and organize these iterations into experiments. 

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