Can you seee if there are errors in the apiserver?
EmbarrassedSpider34 , you can use the API to remove tasks from a queue
https://clear.ml/docs/latest/docs/references/api/queues#post-queuesremove_task
Hi @<1562973095227035648:profile|ThoughtfulOctopus83> , what version of ClearML server are you running? Also what versions of clearml & clearml-agent
SmallDeer34 Hi! 🙂
I'm afraid that currently we support only up to 10 experiments in comparison at once. However you can add/remove experiments mid comparison. Is there a specific reason why you'd need to compare specifically 20?
Regarding the coloring, if you do 5/5 it would be supported.
Also, what GPUs are you running on that machine?
I see. When you're working with catboost, as what type of object is it being passed?
I'm not versed in the pricing 😛
In that case you should check out pipelines from decorators, basically pushing functions to run on different machines - None
I'd suggest running Task.init first and then exposing the dataset name using argparser afterwards
Can you maybe provide a snippet I can play with?
EcstaticGoat95 , thanks a lot! Will take a look 🙂
Hi @<1840199805821784064:profile|EnviousMouse30> , I'm guessing you want to enable login via user/pass? This is the relevant configuration - None
One note though, there are no admin roles in the open source. All users are the same and have access to everything.
Hi @<1835488771542355968:profile|PerplexedShells66> , I think this is what you're looking for 🙂
None
And if you switch back to 1.1.2 in the setup that 1.1.1 worked, does it still fail?
Hi @<1635088270469632000:profile|LividReindeer58> , you should do a separation. The pipeline controller should run on the services queue. Pipeline steps should run on different queues. This is why they are sitting in pending - there is no free worker to pick them up.
How did you verify that the files are still there? Not just you can see the folder name itself but are there contents? If you use the same links through the web UI, can you still download files even when task/dataset is deleted?
you can edit the requirements section directly
OddShrimp85 , Can you see if the models are connected to the experiment in the UI and if they are, what their uri is? What was your use case?
Its a bit confusing, please add the full list of action you took + whatever the console printed.
Preferably using the following format for logs
This is a very convenient way to post logs
Next release of clearml-serving , correct
It is returned in queues.get_all. I'd suggest navigating to the webUI and checking what the webUI is sending to the server (It's all API calls) and replicating that in code with the APIClient
Hi @<1751777178984386560:profile|ConfusedGoat3> , is the data itself still accessible anywhere in it's entirety?
It depends on what you use K8s for
Cool, thanks for the info! I'll try to play with it as well 🙂
Hi @<1582542029752111104:profile|GorgeousWoodpecker69> , can you elaborate please on the exact steps you took?
Hi @<1548839999435182080:profile|DashingAlligator35> , did you run some of the serving examples?



