@<1577468638728818688:profile|DelightfulArcticwolf22> , in addition to @<1523701087100473344:profile|SuccessfulKoala55> ’s answer, you have data management, orchestration (Integration with SLURM), pipelines, reports and much more.

As I mentioned, provisioning resources according to different groups - i.e. role based access controls are an enterprise feature.

I suggest you watch the onboarding videos on the ClearML Youtube channel - None

Hi MelancholyChicken65 , do you mean license wise?

ScaryBluewhale66 ,
If you want to re-run - you need the agent It's still a Task object so you can just use Task.close() I'm not sure if something exists at the moment but you could write it faily easily in code

PunyWoodpecker71 , regarding the REST API:
The format would be something like this:
base_url/endpoint
Where base_url would be the api_server as configured in your ~/clearml.conf and the endpoint is any endpoint you choose from the docs 🙂

Username/password are the access_key / secret_key as also configured in ~/clearml.conf (You can get it from the UI)

content-type is application/json

And of course it's a POST 🙂

I'm curious as to why you weren't redirected to login page

Hi @<1523701062857396224:profile|AttractiveShrimp45> , can you please share some screenshots of what you see and also share a code snippet of what reproduces this behavior?

Hi @<1572032783335821312:profile|DelightfulBee62> , I think 1 TB should be enough. I would suggest maybe even having 2T just for the safe side

What is your configuration?

Hi @<1545216070686609408:profile|EnthusiasticCow4> , what version of clearml & server are you using?

Did you set your password or an access token? Also, please try sticking to a single thread per topic and not multiple messages, it spams the channel

Hi @<1558624448217616384:profile|ShaggyFrog16> , SSO & LDAP integrations are part of the Scale & Enterprise licenses 🙂

you said you're on ubuntu... please describe exactly where/how the server + agent are set up

Hi @<1523701181375844352:profile|ExasperatedCrocodile76> , and now the worker clones the repo correctly?

Are the previews large? Can you supply an example?

ReassuredTiger98 , In the settings page on bottom right there should be a version. Can you please tell me what it shows?

Hi @<1544853695869489152:profile|NonchalantOx99> , do you mean config parameters on the task itself?

I'm not sure it's possible to hide via the Task object. But I think such configurations should be saved as env variables or in clearml.conf

Can you please be more specific on the use case?

I think the issue is that the message isn't informative enough. I would suggest opening a GitHub issue on this requesting a better message. Regarding confirming - I'm not sure but this is the default behavior of Optuna. You can run a random or a grid search optimization and then you won't see those messages for sure.

What do you think?

I think this is due to Optuna itself. It will manually kill experiments it doesn't think will have good results

Happy to help 🙂

Hi @<1533619725983027200:profile|BattyHedgehong22> , does the package appear in the installed packages section of the experiment?

What do you mean? How are you running the pipeline - locally or remotely?

I think you need to provide the app pass for github/butbucket instead of your personal password

Hi @<1533619725983027200:profile|BattyHedgehong22> , I'm not sure I understand, can you please elaborate? You mean when running through the agent?

You will need to set agent.git_user agent.git_pass in your clearml.conf so the agent will be able to clone the repository. For git_pass you will need to use your github token or bitbucket app password

Can you please elaborate?

Usage quote is calculated a few times a day. The new stats should be reflected in a few hours

Regarding UI - you can either build your own frontend for it or use streamlit / gradio applications (Which are supported in the enterprise license).

About using a model outside of ClearML - You can simply register the model to the model artifactory - None

Hi @<1612982606469533696:profile|ZealousFlamingo93> , for remote development on your gpus you can use clearml-session . Otherwise you would need to spin up and down the daemons
None

What cloud provider are you using? I think you should open a github issue to request this behavior 🙂