Hi, what we do is indeed override the configuration so instead of taking the info from the file, we take from the input from the UI. If you're using the content of the file in other places directly, you might end up with different results.
If you can have a short code snippet to show me how you're reading \ tracking the file, I can maybe better help and provide a suggestion of what can be done!

Does that answer your question?

task.set_resource_monitor_iteration_timeout(seconds_from_start)

Hmm, that indeed looks weird 😄 Let me reproduce. Just making sure, what version of the server \ SDK are you using?

Hi Itay! I know JitteryCoyote63 played with it a bit, I'm not sure what was his ultimate conclusion 🙂
We are now working adding such feature to ClearML-Pro (That is soon-to-be released), I suggest to stay tuned 😄

Hi HandsomeGiraffe70 , David's suggestion is great and the way to go now. We are working on adding this functionality to the SDK (without using the APIclient) and document it better 🙂 Stay tuned 😄

Hi SmugTurtle78 , Could you spin up an instance with the same user from AWS CLI?

get_offline_mode_folder

I think you should call dataset.finalize()

As we always say, you came because it's free, you stayed because features are being released before git issues are even opened 😉
Thanks for contributing back with ideas and inputs! 😄

what's the value of ARGS.model? is it "4"?

ExcitedFish86 You came to ClearML because it's free, you stayed because of the magic 🎊 🎉

If you save it with joblib it should be automatically captured

Hi anton, so the self-hosted ClearML provides all the features that you get from the hosted version so you're not losing on anything. You can either deploy it with docker-compose or on K8s cluster with helm charts.

Hi FierceHamster54 , this should be doable, actually we are adding this to other parts of the system so I'll make sure we update the autoscalers to be support this

Hi RotundSquirrel78 that indeed doesn't look right...What server version are you using? From the "t" icon it seems it's still a trains server?

Hi BattySeahorse19 !
We have made a comparison, https://clear.ml/blog/stacking-up-against-the-competition/ but as this industry moves in lightning-speed, this is probably already outdated 🙂
I am not closely following MLFLow so some of the features I'll discuss below might be outdated but the gist of it is this:
ClearML has an orchestration part, data management, serving, pipelines, Hyperparameter optimziation while MLFlow doesn't. ClearML offers a hosted Saas while MLFlow needs to be se...

THANK YOU! It's because of user feedback that this feature was made so you can thank yourself and the community while you're at it 😄

Hi DepressedFish57 clearml v1.5.0 (pip install clearml==1.5.0) is out with a fix for this issue 🙂
Let us know if it works as expected 😄

Hi Mathis, actually, we fixed this in our latest SDK! you can use Task.query_tasks() and you'll get the id's of all the tasks that match the query. The reason we don't get task objects themselves is that it can be quite large and can take a long time.

I...Think it's a UI bug? I'll confirm 🙂

I think that's a hydra issue 🙂 I was able to reproduce this locally. I'll see what can be done

If so, what do you mean by "is there a way to reference this file to my process"?

OutrageousSheep60 The python package is in testing. Hopefully will be out Sunday \ Monday :)

Thanks! 😄 As i've mentioned above, these features were chosen because of users feedback so keep it up and Thanks again!

Hey GrotesqueDog77 , so it seems like references only works on "function_kwargs" and not other function step parameter.
I'm trying to figure out if there's some workaround we can offer 🙂

Hi! check this page out

Checking 🙂

can you please run:
nslookup app.clear.ml

JitteryCoyote63 Sorry to put the spotlight on you 😄 Have you had a chance to try and implement a dashboard yourself?