Yes, but then you need to manually inject those environment variables when running the agent

Also services agent is not related to regular agent executions

But the issue still reproduces?

Hi @<1594863230964994048:profile|DangerousBee35> , using the UI uses API calls, agents listening to a queue send API calls and also the applications send API calls all the time while running

Hi @<1673863788857659392:profile|HomelyRabbit25> , the Dataset object should have artifacts and those should have a url attribute. I'd suggest poking around there!

Hi @<1715900788393381888:profile|BitingSpider17> , you need to set it in the environment where you are running the agent. Basically export it as an env variable and then run the agent

Hi @<1727497172041076736:profile|TightSheep99> , allegroai package is part of the enterprise and not available publicly, you must be looking at documentation related to the HyperDatasets

Can you provide a full log of the failed run?

Hi @<1668427977265778688:profile|BurlyOtter33> , you mean you're deploying the server itself on a mac?

In that case you might be interested in the serving module of ClearML - None

Hi @<1586890686492315648:profile|HugeSeagull85> , are you using a self hosted or the community server?

Hi @<1523702439230836736:profile|HomelyShells16> , I'm afraid that's not really possible since the links themselves are saved on the backend

Hi @<1664079296102141952:profile|DangerousStarfish38> , regarding your first question - You need to finalize the dataset.
Regarding the second, my suggestion would be to expose the selected dataset via a hyperparameter. One example would be through argparser

I suggest you see this example - None
And see how you can implement an if statement into this sample to basically create 'branches' in the pipeline 🙂

Hi @<1523703012214706176:profile|GorgeousMole24> , I'm not sure about the exact definition, but I think when the script finishes running or the thread that started Task.init() finishes.

What exactly would you like to change?

Is it hosted by you or is it app.clear.ml ?

Hi @<1798887585121046528:profile|WobblyFrog79> , you mean when running the agent over K8s?

Non-AWS S3-like services (e.g. MinIO):

:port/bucket

If you're running on a remote interpreter you can install clearml plugin so it will detect repo properly

Are you seeing any errors in the webserver container?

Hi, they aren't auto generated, this is just written code.

I think it should work fine, please update 🙂

Hi @<1820993257639776256:profile|DeepOwl31> , can you please elaborate on what your current setup is?

Hi BoredHedgehog47 , did you run in docker mode?

Hi DrabOwl94 , what version of ClearML are you using?

But you can see in the log that it manages to connect for a bit and then its interrupted

Hi @<1750689997440159744:profile|ShinyPanda97> , I think you can simply move the model to a different project as part of the pipeline

I think as long as they have different hashes you will have two different files

Hi @<1639799308809146368:profile|TritePigeon86> , I think the 1.16 refers to the version of the SDK. I'd suggest upgrading your server regardless 🙂