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Gm Folks, Really Liking Clearml So Far As My Top Choice (After Looking At Dvc, Mlflow), And Thank You For Your Help Here! I Had Another Q: Is There A Recommended Workflow To Be Able To “Drop Into” The

gm folks, really liking ClearML so far as my top choice (after looking at dvc, mlflow), and thank you for your help here!
I had another Q: Is there a recommended workflow to be able to “drop into” the exact env (code, venv, data) of a previous experiment (which may have been several commits ago), to reproduce that experiment? I imagine everything is being saved on the sever (e.g. git diffs relative to the commit, installed pkgs, code snapshot etc), so I think it would be possible to do this?

  
  
Posted 2 years ago
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Answers 4


no containers for me 😁
So if I do this in my local repo, will it mess up my git state, or should I do it in a fresh directory?

  
  
Posted 2 years ago

gm folks, really liking ClearML so far as my top choice (after looking at dvc, mlflow), and thank you for your help here!

Thanks HurtWoodpecker30 !

Is there a recommended workflow to be able to “drop into” the

exact

env

(code, venv, data) of a previous experiment (which may have been several commits ago), to reproduce that experiment?

You can use clearml-agent on your local machine to build the env of any Task,
clearml-agent build --id <task id> --target <folder>or build a container (if you are using containers)
clearml-agent build --id <task id> --docker --target container_name

  
  
Posted 2 years ago

this is great… so it looks like best to do it in a new dir

  
  
Posted 2 years ago

So if I do this in my local repo, will it mess up my git state, or should I do it in a fresh directory?

It will install everything fresh into the target folder (including venv and code + uncommitted changes)

  
  
Posted 2 years ago
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2 years ago
one year ago
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