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docs/getting_started/video_tutorials/hands-on_mlops_tutorials/ml_ci_cd_using_github_actions_and_clearml.md
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@@ -202,7 +202,7 @@ you'll get is the best performance here because our checks already run, so you s
open the PR, so basically the dummy task here was found to be the best performance, and it has been tagged but that
means that every single time I open a PR or I update a PR, it will search ClearML, and get this dummy task. It will get
this one, and then we say if we find the best task, if not we'll just add the best performance anyway because you're the
first task in the list, you'll always be getting best performance, but if you're not then we'll get the best latest
first task in the list, you'll always be getting the best performance, but if you're not then we'll get the best latest
metric. For example `get_reported_scalars().get('Performance Metric').get('Series 1').get('y')`, so the `y` value there
so this could basically be the best or the highest map from a task or the highest F1 score from a task, or any some
such. Then you have the best metric. We do the same thing for the current task as well, and then it's fairly easy. We