For example, in the response of tasks.get_by_id you get the data in data.tasks.0.started
and
data.tasks.0.completed
I hope this helps 🙂

Interesting idea. Can you open a github issue for it for better tracking?

Hi ConvolutedSealion94 , are you running a script or you just went into the python interpreter and ran Task.init()

Hi @<1523704674534821888:profile|SourLion48> , I'd suggest connecting your batch size as a configuration parameter of the experiment, for example using argparser, and then regardless of the committed or uncommitted code, you will be able to control this value through the configuration section.

What do you think?

I don't think so, but it's worth to try 🙂

Interesting, how long ago do you figure?

I think you should monitor your tasks and see what's going on. Also an agent should be set up in a way that you know it will work and has all the required drivers etc..

Please add something standalone that will reproduce the behaviour @<1714813627506102272:profile|CheekyDolphin49>

Hi @<1523701083040387072:profile|UnevenDolphin73> , this is the K8s integration. You can find more here:
None

Hi @<1569133683275730944:profile|CrabbyDove13> , the PyCharm plugin is for working with remote environments. I don't think you need is with VSCode since this capability is covered by clearml-session

@<1523701083040387072:profile|UnevenDolphin73> , basically, it scales to as many pods as you like. Very similar to the autoscaler but on top of K8s

VexedCat68 hi!

https://www.google.com/search?q=mlops+courses&ei=f7pVYdyCCNyM9u8P7Zm_8Ac&oq=mlops+courses&gs_lcp=Cgdnd3Mtd2l6EAMyBQgAEIAEMgYIABAWEB46BwgAEEcQsAM6BwgAELADEEM6EAguEMcBENEDEMgDELADEEM6BAgAEENKBQg4EgExSgQIQRgAUOoKWJ8XYKAcaAFwAngAgAHFAYgB4gqSAQMwLjiYAQCgAQHIAQzAAQE&sclient=gws-wiz&ved=0ahUKEwicvtnn5abzAhVchv0HHe3MD34Q4dUDCA0&uact=5

https://en.wikipedia.org/wiki/MLOps

https://www.youtube.com/results?search_query=mlops

Hi CrookedWalrus33 , do you have an ability to provide an absolute path?

Nice find! do you need them for a specific usecase or just browsing?

I just want to make sure that the file itself is valid first 🙂

Can you please give an example of how you pass the requirements file?

Can you try with full path and not relative?

Same file I mean the requirements.txt file

But no console or auto capturing of scalars?

Hi @<1533257278776414208:profile|SuperiorCockroach75> , what do you mean? ClearML logs automatically scikit learn

Hi ElegantCoyote26
I'm not sure what you mean, you create endpoints using clearml-serving

What exactly are you looking for?

@<1664079296102141952:profile|DangerousStarfish38> , are you running different python versions on the different machines? Remote vs local

You can do this quite easily with some code and the API 🙂

I might not be able to get to that but if you create an issue I'd be happy to link or post what I came up with, wdyt?

Taking a look at your snippet, I wouldn't mind submitting a PR for such a cool feature 🙂

That's an interesting idea 🙂
You should open a github issue for it!

You don't load the configuration during from clearml import Task config is loaded during Task.init() So you can make all your configuration additions up to the point Task.init() is run

Can you try specifying the ip explicitly in clearml.conf ?
I'm guessing that you've deployed ClearML server on http://unicorn , correct?

What is this http://unicorn address? Did you deploy using docker compose?

Hi MoodySheep3 ,can you please add a standalone snippet that reproduces this? What version of clearml are you using?

BoredPigeon26 , you can scroll through iterations 🙂