We found more optimizations. Now fitting a infinite gaussian mixture model from 0 to 0.99 ARI on 1 Billion rows and 2 columns in < 20 sec. No variational inference. No subsampling. Just good old fashioned MCMC. 🤯

To the people out there saying we need boosted trees and neural nets because we can't be #bayesian at scale: here I am using MCMC to fit a *100 million* row Infinite Mixture Model in #rustlang in less than 30 seconds on a Macbook Pro.