Hi SlimyDove85 ,
Regarding the easiest method to track models - you can try tagging them.
Can you please elaborate on your use case?
Hi SparklingHedgehong28 , can you please elaborate on the steps you take during the process + how you connect your config to the task?
Hi @<1523701295830011904:profile|CluelessFlamingo93> , if you self host then you're no longer limited on usage. However the downside is of course that you have to manage it yourself (Security, backups etc).
Try only like this ostore.xyz.tech:9000
Hi DepressedFish57 ,
But authentificate by log/pass is disable on host side.
Can you please clarify?
By separate ssh key - do you mean a different git password?
Hi JumpyPig73 ,
It appears that only the AWS autoscalar is in the open version and other autoscalars are only in advanced tiers (Pro and onwards):
https://clear.ml/pricing/
Hi @<1631102016807768064:profile|ZanySealion18> , I think this is what you're looking for:
None
You can view all projects and search there 🙂
Is this on app.clear.ml or is this a self hosted server?
I think there might be more configurations to control the amount of API calls you're making.
How long did you let it sit for?
Not really. This is strange. Can you try running the agent with --debug tag? This might give us more insights
Hi @<1523701295830011904:profile|CluelessFlamingo93> , are you self hosting or using the community server?
It looks like it since as far as I manage to understand a 'traditional' feature store is a model / data repository, correct?
Only news ones after you use SDK 1.6.0 🙂
Hi ReassuredTiger98 , I'm not sure I understand.
You're asking why you need to put in credentials to use minio as a files_server or why you got the error directly on port 9000 but not on s://minio_instance:9000/ <MY_BUCKET_NAME> ?
It can run dockers and it can run over K8s
From my understanding, they are 🙂
JitteryCoyote63 I'll take a look, thanks a lot for the heads up! 🙂
Hi SkinnyPanda43 , did you set poetry as your package manager or do you simply want to install it as part of the environment?
Hi UnevenDolphin73 ,
I don't think that ClearML exposes anything into env variables unless done so explicitly.
If I'm understanding correctly you're hoping for a scenario where ClearML would expose some contents of sdk.aws.s3 for example so you could use it later in boto3, correct?
If that's the case why not use env vars to begin with?
Do you see any errors in the ES container?
Hi SmugSnake6 , can you please elaborate on what exactly is happening and what you were expecting to happen?
Is it possible that you don't have permissions for deletion on that Azure account with your credentials?
The ValueError is happening because there is no queue called services it appears
Hi IcyFish32 , I don't think comparing more than 10 experiments. I think this ability will be added soon.
Hi CrookedMonkey33 ,
Can you please open developer tools (F12) and see what is returned when you navigate to the 'projects' page (When you see 41 experiments)
Also go into 'Settings' -> 'Configuration' and verify that you have 'Show Hidden Projects' enabled
GiganticTurtle0 , which ClearML version are you using? From what I can see in the documentation to add the new parameters, you'll have to task.connect() again to add the new args
This is because Datasets have a new view now. Just under 'Projects' on the left bar you have a button for Datasets 🙂