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Prior Knowledge (http://www.priorknowledge.com http://www.priorknowledge.com) has a very similar API but a more interesting underlying model. They model the fu
by equark 14y ago
Prior Knowledge (http://www.priorknowledge.com http://www.priorknowledge.com) has a very similar API but a more interesting underlying model. They model the full joint distribution of the data, so any variables can be missing not just the outcome. They also are able to return the joint probability distribution over unknowns, which is extremely useful in terms of quantifying uncertainty.
The model itself appears very flexible:
http://blog.priorknowledge.com/blog/beyond-correlation/ http://blog.priorknowledge.com/blog/beyond-correlation/
I'm not affiliated with these guys but they are clearly doing the most interesting work in this area.
- dshah 14y agoLooks really interesting. Any chance you know where to get an invite code for the beta?
- equark 14y agoThey are pretty responsive from my experience. The beta is definitely open.
- Bootvis 14y agoTrue I had my invite in a couple of hours.
- beaucronin 14y agoJust submit your email and we'll get you into the beta very quickly: https://dev.priorknowledge.com/login?next=/ https://dev.priorknowledge.com/login?next=/
- sakai 14y agoAre they a Y Combinator company, by any chance? Curious as some of the language is very similar to a series of stealth job postings here over the past ~6 months.
- iskander 14y agoI'm very curious to see (a) what sort of generative model they're using under the hood, and (b) how they do inference efficiently enough to not dedicate a cluster to each customer.