Hi @<1736919317200506880:profile|NastyStarfish19> , can you provide an example script that reproduces this behaviour? Also full log of the execution would be useful 🙂
VictoriousPenguin97 , can you please try with the latest version? 1.1.3 🙂
Hi ThoughtfulBadger56 ,
I think these are a the environment variables you're looking for:CLEARML_AGENT_SKIP_PIP_VENV_INSTALL CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL
https://clear.ml/docs/latest/docs/clearml_agent/clearml_agent_env_var
Hi @<1533257278776414208:profile|SuperiorCockroach75> , what do you mean? ClearML logs automatically scikit learn
StickySheep96 , Is it possible you raised the server locally on your machine and not the EC2 instance?
Hi @<1797800424254738432:profile|FlatHippopotamus76> , you can set your image using Task.set_base_docker, I think this is what you're looking for - None
Hi IrritableJellyfish76 , yes. It is available only for Scale & Enterprise versions
Hi GaudyPig83 , when is this happening?
Do you have a code snippet that reproduces this?
Hi @<1539417873305309184:profile|DangerousMole43> , I don't think such a capability exists. You can however add a link to a file as a parameter and then run it from the GUI.
Regarding the drag and drop capability I think it's a really cool idea! Maybe open a feature request on GitHub?
What is your scenario? Can you elaborate?
ScaryBluewhale66 , Hi 🙂
Regarding your questions
I think you can just reset the task and enqueue it You can stop it either in the UI or programmatically I'm guessing the scheduler would show errors in it's log if for some reason it failed at something for some reason
Hi CurvedHedgehog15 , can you please provide a code snippet to play with?
Hi @<1752139552044093440:profile|UptightPenguin12> , for that you would need to use the API and use the mark_completed call with the force flag on
Also a good read are the environment variables - I think those also allow you some advanced capabilities
None
CluelessElephant89 , Hi 🙂
An experiment cannot be 'unpublished' through the UI since it's a 'finalizing' action that the UI also gives a popup regarding. I think you can reset the task with Task.reset(force=True) through the SDK. This however will remove all logs/metrics.
https://clear.ml/docs/latest/docs/references/sdk/task#reset
What is the reason you would like to 'un-publish' and what would you want the new state to be, completed?
If you're running on a windows machine, the same syntax such as export won't work. I'd suggest on checking how to manipulate env variables in windows
Python 2 is no longer supported, I'd suggest finding an AMI that already has python3 built in (Or install it using the init script, not suggested though) and also CUDA enabled to avoid that installation to support cuda images
@<1554638179657584640:profile|GlamorousParrot83> , can you add also the full log?
Hi @<1523715429694967808:profile|ThickCrow29> , thank you for creating a github issue on this! Makes sense it would be moved to aborted 🙂
Hi @<1638712150060961792:profile|SilkyCrocodile89> , can you please add the log and an example of a failure and of it working?
Click on step_one and on Full details
JitteryCoyote63 , are you on a self hosted server? It seems that the issue was solved for 3.8 release and I think should be released to the next self hosted release
I think there might be some option, let me check if I can find something I have 🙂
Hi @<1585441140176326656:profile|StrongDove49> , what do you mean finding the credentials for each user? You mean on the databases?
Although I think a problem would be syncing the databases on different servers
Is there anything stopping you from using regular conditions life 'if' ?

