We're excited to announce the release of AutoGluon-Bench 0.4.0!
For more details, please check out the [README](https://github.com/autogluon/autogluon-bench/blob/master/README.md).
Main Features
1. `timeseries` module is now supported! Similar as `tabular` module, `timeseries` benchmarks are running on the [AMLB](https://github.com/openml/automlbenchmark) framework but with better support in cloud infrastructure. Custom datasets and frameworks are supported as well.
2. Hardware metrics including `CPUUtilizaiton` and `GPUUtilization` can now be queried from `CloudWatch` with the added option `--save-hardeware-metrics` in `agbench run`. They are pulled and saved to S3 bucket immediately after all jobs have run into completion.
3. Updates in evaluation logic
This release contains 4 [commits](https://github.com/autogluon/autogluon-bench/compare/v0.3.0...v0.4.0) from 3 contributor.
Full Contributor List (ordered by of commits):
suzhoum Innixma shreyash2106
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.