4min chapter

MLOps.community  cover image

Impact of SWE in ML Projects // Laszlo Sragner and Tim Blazina // MLOps Reading Group

MLOps.community

CHAPTER

Iske Bacto Original Question on Andrea

i was looking the idea of using a feature store u like oqe. How do we create features on our own? So try to like, not block people and in doing experimentation with features. And then once we realize that oqe, this is a useful feature, how do we share this? i think i'm also feeling the same way in the company that i'm working with. There are a lot of different data scientists working unparallel projects, and they sometimes use the same features. I think there should be some sort of features to store concept where you avoid all acceptable work that you just wishet. It's very important to maintain an implementation details from a solution

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