Aim 2.4.0 featuring XGBoost Integration is out ! Thanks to the community for feedback and support on our journey towards democratizing MLOps tools.
Check out the updated Aim at play.aimstack.io.
For this release, there have been lots of performance updates and small tweaks to the UI. Above all, this post highlights the two features of Aim 2.4.0. Please see the full list of changes here.
To begin with,
aim.callback is now available that exports
AimCallback to be passed to the
xgb.train as a callback to log the experiments.
Check out this blogpost for additional details on how to integrate Aim to your XGBoost code.
Confidence Interval as the aggregation method
Now you can use confidence intervals for aggregation. The community has been requesting this feature, since it completes the list of necessary aggregation methods. As a result, if you have outlier metrics in your group, confidence interval will show logical aggregation and get better comparison of the groups.
We have been incredibly lucky to get help and contributions from the amazing Aim community. It’s humbling and inspiring.
Check out the latest Aim integration!
And don’t forget to leave Aim a star on GitHub for support 🙌.