I swear, I literally made this point in my zettelkasten
- demonstration/walkthrough/first steps - would require people to register for theseso I definitely think the demo/first steps is a great idea 👍

Hello E.K, do you have any examples handy to show us the difference ?

but of course, this is all largely dependent on your code and structure etc

I believe that's correct, yes

loving it .. thanks for the suggestion.. I am trying to build up a roadmap, so thank you for the idea

that's pretty darned awesome!! I didn't know we could do that 😄 😄

Hey Leandro, I don't think it will work with replacing elasticserver with the AWS service type 😕

you can cut steak with a spoon, but that doesn't mean it's a good idea 😉 😉

I also take it you were thinking of fargate for the clearml-agent's .. which would be awesome but.. oi.. not sure how much luck you would have there 🙂 🙂

I have a strange theory, that if the code is in classes, then you could include both in one .py file and then ENV["use_model"]="a" or ENV["use_model"]="b" to select between them .. in that way, you would clone the experiment and change the config and re-run

Howdy Jevgeni, that's .. strange. I am using google colab (free edition 🙂 and doing exactly the same as you, but I don't see any uncommited changes.. hrrm.. can you try this on colab maybe ? I am wondering if it's your jupyter notebook's version of python or some other notebook extension maybe

howdy Tim, I have tried to stay out of this, because a lot is going over my head (I am not a smart man 🙂 but, one thing I wanted to ask, are you doing the swapping in and out of code to do a/b testing with your models ?! Is this the reason for doing this ? Because if so, I would be vastly more inclined to try and think of a good way to do that. Again, this maybe wrong, I am trying to understand the use case for swapping in and out code. 🙂

hey @<1687643893996195840:profile|RoundCat60> .. did you ever get the problem sorted ?

I may have to let someone with more know-how on the histogram and graphing answer if there is anyway to change graph layout though

honestly, I don't think the feature store we have would suit your needs. It is much closer to a data store in functionality with some nice to haves, rather than a feature store that is missing some bits.
Personally, I have used Feast before with a client, but only because it's a "pip install" to get it into place. It's a much lower barrier to entry than most of the others (again, bear in mind, I am a pythonista)

I am so used to pip install, I default to there 😄

so I am not entirely sure what else you have changed Sir

The way I read that is if you have exposed your clearml-server via k8s ingress then you can, from outside the k8s, say to clearml-session this is the k8s ingress/ip

I know the storage can be swapped out to using S3 (obviously)

So those datasets are the same but.. yes.. it's squashed/warped

if you see it in the community server, then I believe the answer is "yes" - although don't hold me accountable on this 😄

the brain surface viewer (more dash than anything) .. jst.. wow

👍

👍

you're not going to get the same performance as you would from your own dual xeon with 128gb of ram etc 🙂

Shameless plug here ; https://clear.ml/blog/jupyter-notebooks-used-as-clearml-workers/

this whole area is a WIP of course, but I am trying to capture some of the really interesting Q and A from here so that they don't jst disappear into the void 🙂

so yes indeedly ..

sudo find /var/lib/ -type d -exec du -s -x -h {} \; | grep G | more

seems to give saner results.. of course, in your case, you may also want to grep M for megabyte

I also want to stress that these don't need to be happy-path interviews/results, although those are infinitely nicer to do 🙂 So I hear you with also noting what does not work as much as what did 👍

honestly.. I think google are "fine" with it.. there are plenty of other (more egregious) abuses of their colab and they haven't screamed yet.

to be perfectly honest, I think I stopped investigating all the stuff plotly and friends can do these days.. I am sitting here with my mouth wide open.. some of their examples are awesome eye candy 😄