Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hi, Can I Do A Quick Check If All The Documentation I Find On Trains Are Still Valid For Clearml? Specifically, I Am Looking At Integration Of Clearml And Kubernetes.

Hi, can i do a quick check if all the documentation I find on TRAINS are still valid for ClearML? Specifically, i am looking at integration of ClearML and Kubernetes.

  
  
Posted 3 years ago
Votes Newest

Answers 11


I've been reading the documentation for a while and I'm not getting the following very well.
Given an open source codes say, huggingface. I wanted to do some training and i wanted to track my experiments using ClearML. The obvious choice would be to use Explicit Reporting in ClearML. But the part on sending my training job. and let ClearML orchestrate is vague. Would appreciate if i can be guided to the right documentation on this.

  
  
Posted 3 years ago

I think the most up-to-date documentation for that is currently on the github repo, right SuccessfulKoala55 ?
https://github.com/allegroai/clearml-server-helm

  
  
Posted 3 years ago

SuccessfulKoala55 Will do.Thanks for the heads up

  
  
Posted 3 years ago

SubstantialElk6 this is a three parter -
getting workers on your cluster, again because of the rebrand I would go to the repo itself for the dochttps://github.com/allegroai/clearml-agent#kubernetes-integration-optional
2. integrating any code with clearml (2 lines of code)
3. executing that from the web ui
If you need any help with the three, the community is here for you 😉

  
  
Posted 3 years ago

Hi guys,
Thanks for the previous discussion on ML-Ops with ClearML agent.
I'm still not sure how to monitor a training job on k8s (That wasn't scheduled by ClearML). My ClearML server is deployed and functional for tracking non-k8s jobs. But for a k8s job, I'm still unsuccessful.
Here is what I tried so far:
Adding my clearml.conf to the docker image tried to run clearml-init --file ~/clearml.conf

  
  
Posted 3 years ago

thanks GrumpyPenguin23 , i'll look deeper on that. This kinda fits what i am looking for but its for TRAINS and there's no technical how-to.
https://clear.ml/blog/stop-using-kubernetes-for-ml-ops/

  
  
Posted 3 years ago

BTW if anyone from the future is reading this, try the docs again 😉

  
  
Posted 3 years ago

Thanks. This appears to be solely for web UI and API, What if i want to orchestrate on K8S?

  
  
Posted 3 years ago

I'm all for more technical tutorials for doing that... all of this fits the clearml methodology

  
  
Posted 3 years ago

HelpfulDeer76 I think you meant to post this in the channel? This is a thread and probably nobody monitors it...

  
  
Posted 3 years ago

Indeed it is. The K8s repository name was changed as well to https://github.com/allegroai/clearml-server-k8s and helm repo is https://github.com/allegroai/clearml-server-helm

  
  
Posted 3 years ago
1K Views
11 Answers
3 years ago
one year ago
Tags