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RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day // Gleb Abroskin // MLOps Coffee Sessions #123
MLOps.community
What Is a Feature Store?
A lot of the benefits of a really centralized platform don't start coming into play until you have a very large team and multiple use cases. We didn't like the idea of not documenting but declaring the features because it is kind of hard to get right from the first take. It took me four times I guess to write a for attempt to write a good interface around the spark jobs. So that would be necessary but later. But our approach would be to pack the model with a set of features it needs for the inference and make sure they are available available in the online store. After the inference service receives them, it will be able, dynamically to load them from the database and use those without
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