u/DustyAvacado

Hi, I would like your opinions regarding solutions to cold start problem regarding spatio temporal dataset for classification task. The thing is I can't use the future data points to predict the past.
Through my research, I have few ideas:

1. Using foundational model, where I can add more features based on the location, and then using a tabloid model to predict when there isn't enough data.

2. Maybe using statistical ML models with a prior to make the predictions for the initial points. I was thinking of creating my own ST sparse variational Gaussian process for my own task.

I would really appricate your help for other methods that can work.