Its built in 🙂 and Its for... "Services"
https://github.com/allegroai/trains-server#trains-agent-services--

Thanks for the report!

Sure thing. All you need is the credentials. Did you see my extreme example here? https://youtu.be/qz9x7fTQZZ8

ClearML thanks

WackyRabbit7 It is conceptually different than actually training, etc.

The service agent is mostly one without a gpu, runs several tasks each on their own container, for example: autoscaler, the orchestrators for our hyperparameter opt and/or pipelines. I think it even uses the same hardware (by default?) of the trains-server.

Also, if I'm not mistaken some people are using it (planning to?) to push models to production.

I wonder if anyone else can share their view since this is a relati...

I'm a movie star 🤩

Okay, I'll make a channel here today, and the sticky post on it would be a list of other channels 💪

For now here is one of my favorites:

https://discord.gg/v4BfukdZ

Shh AgitatedDove14 you're dating yourself 😆

Yeah the file system on those VMs is really slow

Hi Torben, thats great to hear! Which of the new features seems the most helpful to your own use case? Btw to your question the answer is yes. But I'm not exactly sure whats the pythonic way of doing that. AgitatedDove14 ?

Hi SubstantialBaldeagle49 ,

certainly if you upload all the training images or even all the test images it will have a huge bandwidth/storage cost (I believe bandwidth does not matter e.g. if you are using s3 from ec2) If you need to store all the detection results (for example, QA, regression testing), you can always save the detections json as artifact and view them later in your dev environment when you need. The best option would be to only upload "control" images and "interesting" im...

Hi BattyLion34 , could you clarify a little? If I understand correctly, you wish to use a code repository to store artifacts and ClearML logs?

https://www.youtube.com/watch?v=K1POpSjQI1s <--- 🚀

SubstantialBaldeagle49
hopefully you can reuse the same code you used to render the images until now, just not inside a training loop. I would recommend against integrating with trains, but you can query the trains-server from any app, just make sure you serve it with the appropriate trains.conf and manage the security 😉 you can even manage the visualization server from within trains using trains-agent. Open source is so much fun!

I would say that this is opposite of the ClearML vision... Repos are for codes, ClearML server is for logs, stats and metadata. It can also be used for artifacts if you dont have dedicated artifact storage (depending on deployment etc)

Do you mind explaining your viewpoint?

So basically export a webapp view as csv?

Hi HugePelican43 , glad that you are interested in our Feature Store. The screenshots in that portion of site (we should specify that in a clearer way, probably) reflect our enterprise offering.

If you are looking for open-source solutions to incorporate online feature stores in your deployment - I'm happy to discuss how to do it in a way that works best with the clearml-ecosystem.

If, however, you are looking for "offline" feature management capabilities, this is 100% doable with your ow...

Oh hey, did someone mention my name on this thread? MiniatureCrocodile39 did you manage to create a pycharm virtual env with clearml installed?

submouldes == git submodules

Thank you for helping to build better docs 🙏

https://clearml.slack.com/archives/C025C2J8XU5/p1623963856000700

This looks like a genuine git fetch issue. Trains would have problems figuring the diff if git cannot find the base commit...
Do you have submodules on the repo? did the DS push his/her commits?

Removed the yay's DeliciousBluewhale87
https://www.youtube.com/watch?v=XpXLMKhnV5k

I'm sorry, then what?

SubstantialBaldeagle49 not at the moment, but it is just a matter of implementing an apiclient call. you can open a feauture request for a demo on github, it will help make it sooner than later

Hi, which Trains doc version are you looking at? Is it the latest?

Okay so sounds like two bugs stacked together? I wonder if this is gitlab specific. Could you provide a list of a steps to reproduce? 🙏

You rang?

That's interesting, how would you select experiments to be viewed by the dashboard?

Hi, this really depends on what your organisation agrees is within MLOps control and what isn't. I think this blogpost is a must read:
https://laszlo.substack.com/p/mlops-vs-devops
and here is a list of infinite amount of MLOps content:
https://github.com/visenger/awesome-mlops
Also, are you familiar with the wonderful MLOPS.community? The meetup and podcasts are magnificent (also look for me in their slack)
https://mlops.community/