Are you running a self hosted server or using the SaaS?

Hi @<1790915059254300672:profile|JealousMouse90> , there is no way to that in the OS/Community. User management & Role based access controls are part only of the Scale/Enterprise licenses.

Hi @<1643785593177509888:profile|FrustratingSeagull27> , do you have some sample code that recreates this behavior?

Hi SubstantialElk6 , can you elaborate a bit?

Hi @<1523701949617147904:profile|PricklyRaven28> , what code are you talking about, of the Slack alerts? You can also use standalone scripts if you don't want to run from a repo. Also, I don't think you should be running the agent in services mode yourself as it is a part of the ClearML setup.

Hi @<1547752791546531840:profile|BeefyFrog17> , can you add the full log?

Can I assume that you've installed the latest version of ClearML?

I think you can simply reset and enqueue the task again for it to run. Question is, why did it fail?
Are you running the HPO example? What do you mean by adding more parameter combinations? If the optimizer task finished you either need a new one or to reset the previous and re-run it.
You can do various edits while in draft mode

in the code, the output uri should be with None :<PORT>

Hi @<1570220844972511232:profile|ObnoxiousBluewhale25> , what error are you getting?

What are the requirements specific in the experiment UI?

Hi MoodySheep3 ,can you please add a standalone snippet that reproduces this? What version of clearml are you using?

I usually use: https://clear.ml/docs/latest/docs/references/api/index
Also, it's quite useful to use the UI as a reference. You can hit F12 in the browser and you can see all the api calls, I use that to figure out call structure

I think this might be what you're looking for:
https://clear.ml/docs/latest/docs/references/api/workers
https://clear.ml/docs/latest/docs/references/api/queues
You can access all reports through the REST API

AgitatedDove41 , this is the old documentation indeed. It's deprecated and shouldn't be used 🙂

New documentation has everything in it, and more!

Hi FrothyShrimp23 , you can use Task.mark_completed() and use force=True
https://clear.ml/docs/latest/docs/references/sdk/task#mark_completed

top right corner

Does this happen on different python versions?

MagnificentSeaurchin79 , can you please describe how you created the dataset?

DeliciousBluewhale87 , Hi 🙂

You mean you created a dataset task on a certain server and you want to move that dataset task to another server?

I'm not sure that is possible. What is your specific use case?

And for future reference - Always a good thing to do a backup before upgrading elastic versions (or upgrades in general). Periodic upgrades are also advised 🙂

Hmmmm I think you would need to change some configurations in the docker-compose to use https

Sounds like some issue with queueing the experiment. Can you provide a log of the pipeline?

Yes & Yes.
task.upload_artifact('test_artifact', artifact_object='foobar')
You can save a string, however please note that in the end it will be saved as a file and not a pythonic object. If you want to keep your object, you can pickle it 🙂

Hi @<1752139552044093440:profile|UptightPenguin12> , for that you would need to use the API and use the mark_completed call with the force flag on

Multiple instances of the autoscaler maybe?

Are you using a self deployed server?

Hi @<1752501940488507392:profile|SquareMoth4> , you have to bring your own compute. ClearML only acts as a control plane allowing you to manage your compute. Why not use AWS for example as a simple solution?

Hi @<1556812486840160256:profile|SuccessfulRaven86> , just to make things easier, can you comment out these 3 lines in the config file? This will cause the sdk to have default behavior. Afterwards try with store_code_diff_from_remote: false

What do you see in the uncommitted changes section of the experiment?