My guess other agents are sitting on different machines, did you verify that the credentials are the same between the different clearml.conf
files? Maybe @<1523701087100473344:profile|SuccessfulKoala55> might have an idea
Hi ShakyOstrich31 ,
Can you verify that you did push the updated code into your repository?
You can see my answer in channel
Hi @<1539417873305309184:profile|DangerousMole43> , if understand correctly, you basically want to have some logic in your pipeline that will launch jobs according to some "trigger"?
Hi @<1535069219354316800:profile|PerplexedRaccoon19> , I think this is what you're looking for 🙂
None
From my understanding, they are 🙂
Hi @<1580367711848894464:profile|ApprehensiveRaven81> , I'm afraid this is only option for the open source version. In the Scale/Enterprise licenses there are SSO/LDAP integrations
Hi @<1787291173992271872:profile|BlandCormorant75> , how are you logging those plots? Can you provide a stand alone snippet that reproduces your behaviour?
As you mentioned it seems that the authentication you're using is not created as part of the boto object. Is there a specific reason you don't want to use access/secret pairs for authentication?
Is the pipelinecontroller also working on preemptible instances?
Hi UpsetTurkey67 ,
Is this what you're looking for?
https://clear.ml/docs/latest/docs/references/sdk/trigger#add_model_trigger
Hi @<1574931891478335488:profile|DizzyButterfly4> , I think if you have a pandas object pd
then the usage would be something like ds.set_metadata(metadata=pd, metadata_name="my pandas object")
I think you would be referencing the entire thing using the metadata_name
parameter
SmallDeer34 , and they still have the same colors when you maximize the graph?
Hi ShallowGoldfish8 , what versions of ClearML & ClearML-Agent are you using?
I think this is due to Optuna itself. It will manually kill experiments it doesn't think will have good results
Hi @<1791277437087125504:profile|BrightDog7> , do you have a code snippet that reproduces this? Is it for all plots or only specifics?
Hi @<1570583227918192640:profile|FloppySwallow46> , can you please add the full log?
Hi @<1639799308809146368:profile|TritePigeon86> , I think the 1.16 refers to the version of the SDK. I'd suggest upgrading your server regardless 🙂
I meant that maybe you ran it with a newer version of the SDK
@<1597762318140182528:profile|EnchantingPenguin77> , are you sure you added the correct log? I don't see any errors related to cuda
Hi @<1665891247245496320:profile|TimelyOtter30> , not sure I follow. It looks like a misconfiguration. I think you need to see the correct settings here: None , also note the direct reference to minio 🙂
Hi WittyOwl57 ,
Can you give a screenshot of how it's saved in the UI currently? Also can you look at the developer tools and see what tasks.get_configuration_names
& tasks.get_configurations
return when looking at the experiment's configurations in the UI
Hi BroadSeaturtle49 , can you please elaborate on what the issue is?
Hi @<1749240449366757376:profile|BitingMosquito50> , is there connectivity between the different accounts - i.e can one machine communicate with another machine between accounts? ClearML acts as a control plane. Meaning you can setup it (Server) on some account and if the jobs are running in different accounts the clients(SDK/Agent) running on those accounts will need to have connectivity to the ClearML server machine.
I assume models are saved in their respective accounts, and can be ser...
Hi, I think this is what you're looking for - None
Regarding 1 & 2 - I suggest always keeping the API docs handy - https://clear.ml/docs/latest/docs/references/api/definitions
I love using the API since it's so convenient. So to get to business -
To select all experiments from a certain project you can use tasks.get_all with filtering according to the API docs (I suggest you also use the web UI as reference - if you hit F12 you can see all the API calls and their responses. This can really help to get an understanding of it's capabilities ...
Hi MoodySheep3 ,
Can you please provide screenshots from the experiment - how the configuration looks like