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Isn't the point here that you can do it on huge datasets that don't work nicely with R



There are plenty of tools for that already. The point here is to make it as easy as possible.

I guess this could be useful for some people, but it seems rudimentary to me. If I'm reading their FAQ right they're just fitting a logistic regression to everything. I'm hoping this is just a starting point. Also, not being able to export the actual model seems like a huge dealbreaker to me.


My guess is they're using liblinear or vowpal wabbit under the hood. Both support SGD-based learning and work well in a streaming setting where data could be on disk or in memory.




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