There was some hype around neural processes which seem like a marriage between non-parametric models like GPs and NN but have not heard anything about them recently.
Have they been superseded by something else? I have some spatio temporal data that I am looking to play with and wonder if this is a good way to dive into them but want to convince myself that they are still a somewhat relevant family of models to spend time on.
It is mostly traffic flow data across the UK highways. I am trying to use it to predict traffic flows. I have seen some tutorials using this with GNNs as well.
Also interested in adding weather and event data and other things that might affect flow. So looking into solutions that can handle multivariate data, deal with missing values and also be able to handle discrete/categorical as well as continuous feature variables.