Model Deployment

When we have a trained model, and we want to evaluate a model on K, on an example or set of examples, we can think about it as a feature. So you basically just moving work from the one who trains the model and implements it to the provider of features. This is a very complicated idea, but it could definitely provide the aim model API out of the feature store. But I would say that to me, it's just another abstraction layer.