Amazon Web Services Posted December 16, 2022 Share Posted December 16, 2022 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. View the full article Quote Link to comment Share on other sites More sharing options...
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