I meant this https://clear.ml/mlops/clearml-feature-store/
First of all I'd like to thank you for pointing out that our messaging is confusing. We'll fix that.
To the point: Nice interface and optimized db access for feature stores is part of our paid, enterprise offering.
Managing data/features as part of your pipelines and getting version-controlled features == offline feature store
The latter is doable with the current ClearML open source tools, and I intend to show it very soon. But right now you won't have a different pane for DataOps, it'll be within the same GUI that the rest of the tasks appear (you can add tagd for searchability)
Does this help?
GrumpyPenguin23 I'm not clear yet š
I deployed a self-hosted server and still not able to see it.
is that incoming feature or do I need to do anything to involve "Feature store" feature?
Thank mate.
I realize it is available on self-deployed version of Server. I was struggling deploy it on my server, with corporate proxy things, before end-up using online server (for now).
I will try to deploy a local server again then using this feature.
cheers
GrumpyPenguin23 thanks for clarifying š I must say the message on pricing page is so confusing. But I got what you meant now š
Hi HugePelican43 ,
What exactly do you mean by feature store?
I guess the product offering is not so clear yet (pun intended) the self-deployed option is completely free and open source. The enterprise offering is something entirely different
https://clear.ml/pricing/
The "feature store" you see in the free tier is what I am alluding to
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 own code and clearml š I am currently recording a series of short videos on how to do it, the first one was published yesterday (see below). If you want to chat a bit about how it would work, please let me know.