Hi RotundSquirrel78 that indeed doesn't look right...What server version are you using? From the "t" icon it seems it's still a trains server?

Sorry about the inconvenience...We are updating our website and the docs are the victims...should be resolved soon

VivaciousPenguin66 This is very true! We are trying to explain the benefits of this method. Some people like it and some people like the flexibility. We do have our philosophy in mind when we create "best practices" and obviously features to ClearML but ultimately people should do what makes them the most productive!
If we are getting philosophical, I think it's the state of the industry and as it progresses, these standard methods would become more prominent.
also, to add to what you wrote,...

Just randomly check if there's a new version...every day 😉

I actually don't think that it's supported at the moment...I'll talk to the devs and see if that's something we can add to a future release

BTW! can you elaborate on the need for elevated privileges? What can't he do that you want him to?

JitteryCoyote63 As for the h2o, I actually looks WAY cool. But some people might see us as competitors so not 100% sure that we'll be glad to use their tool but let's see!

We update for server and SDK here. For RC's we're still not amazing 🙂

Hi SmugTurtle78 , sorry for answer in slow-mo 😉 I'm not 100% sure I got the question... you want a a global security group and network for the entire autoscaler instead of per-instance type?

Once defined, the new dataset will have the content of all it's parents. then you can add \ modify \ remove files from it and commit a new dataset.

If these indices tend to grow large, I think it would be cool if there was a flag that would periodically remove them. probably a lot of users aren't aware that these take up so much space

CLEARML_NO_DEFAULT_SERVER=1

Hey There Jamie! I'm Erez from the ClearML team and I'd be happy to touch on some points that you mentioned.
First and foremost, I agree with the first answer that was given to you on reddit. There's no "right" tool. most tools are right for the right people and if a tool is too much of a burden, then maybe it isn't right!
Second, I have to say the use of SVN is a "bit" of a hassle. the MLOps space HEAVILY leans towards git. We interface with git and so does every other tool I know of. That ...

JitteryCoyote63 Welcome to the wonderful world of coding where some stuff doesn't work and you don't know why and some stuff works and you don't know why 😂

Hi SubstantialElk6 We moved to a new docs site here: https://clear.ml/docs/latest/docs/

task.set_resource_monitor_iteration_timeout(seconds_from_start)

Yeah I get what you're saying, but when developing ClearML we did not view it like that. when we run it locally or debug it, we thought of it more "This is running just on my local computer without an agent to make sure everything works before I use an agent to run the parts". Sorry that it confuses you 🙂

BTW, I suggest for new questions, just ask in the clearml-community. I'm really happy to help but I almost missed this message 😄

MelancholyElk85 I'll talk to the guy in charge and try! You can find main points here 🙂 https://docs.google.com/document/d/1QlPiDO2EzDq_HRvuVhYwPh5F_IsjgmmRTlPNdHik10k/edit

As for your question, yes, our effort was diverted into other avenues and not a lot of public progress has been made.
That said, what is your plan for integration of the tools? automatically promote models to be served from within clearml?

Thanks MotionlessMonkey27 , we're looking into that! Thanks for the info

Hi, so we are seeing intermittent DNS issues which are not related to us but affect accessing our website. We're still looking into what can be done but please try a bit later as if the issue is with the ISP for instance, it might be resolved by them at some point

Can you check again? It works for me. If you're still not able to reach it, can you send an image of the error you're getting?

ZanyPig66 , the 2 agents can run from the same ubuntu account and use the same clearml.conf. if you want each to have its own configuration file just add --config-file PATH_TO_CONF_FILE and it would take another config file. Makes sense?

Oki doke 🙂 I'll see what the great powers of beyond (AKA, R&D folks) will have to say about that!

You are correct 🙂

the upload method (which has an SDK counterpart) allows you to specify where to upload the dataset to

Hi! check this page out

As for Kedro, first I'll say it's a great tool! If you use it and love it, keep on keeping on 🙂 I think these guys did a great job! While ClearML doesn't have all the features of Kedro (And obviously Kedro either, they are 2 different tools with 2 different goals), we do have the pipelining feature. The UI is still in the works and Kedro does look better! But if you use CleraML agent, you can probably build better automations. That said, if I had to "advise" I'd say start with ClearML pipe...

Hi! So I looked at the example code and you don't have to use joblib 😄
If you do:
model.save_model('xgb.02.model')It will work 🙂 Sorry for the confusion!
To upload labels, after task.init call
task.set_model_label_enumeration({'label':0,'another_label':1})The models will inherit this enumeration 🙂
Makes sense?