Online Logistic Regression

An interesting idea..
http://jmlr.org/proceedings/papers/v23/mcmahan12/mcmahan12.pdf

For cases where I can fit the modelset in to memory (spread across a cluster) I still think H2O is going to be the best approach.
OTOH, if I can run several simultaneous regressions in one -onlline- pass over the data…