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@suzhoum suzhoum released this 08 Aug 23:23
· 131 commits to master since this release
v0.2.2
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Learn about vigilant mode.

We're excited to announce the release of AutoGluon-Bench 0.2.2!

For more details, please check out the README.

Main Features

  1. Support custom dataset with custom data loader for multimodal module
  2. Added model failure support to evaluation output_context.py
  3. Added median relative error diff to evaluation evaluate_results.py
  4. Added detailed hardware monitoring support with 5s intervals
  5. Support CPU base image when using non-GPU machines
  6. Updated base images to reduce image size
  7. Bug fix for running benchmark on CPU machine.

This release contains 11 commits from 3 contributor.

Full Contributor List (ordered by # of commits):
@Innixma @suzhoum @yinweisu

This release supports Python versions 3.9. and 3.10.

We hope you enjoy the new features in this release! Please don't hesitate to reach out to us with any questions or feedback.

Contributors

suzhoum, Innixma, and yinweisu
Assets 2
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