If you're interested in the functional bayesian inference API, you might want to start by reading this (and check out the sweet ASCII density plots):https://github.com/stripe/rainier/blob/master/docs/tour.md …
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If you're more excited about the high-performance static compute graph for small data in Scala, I just wrote this for you today:https://github.com/stripe/rainier/blob/master/docs/real.md …
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Either way you might be interested in some of the nitty gritty and design rationale here:https://github.com/stripe/rainier/blob/master/docs/impl.md …
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I'm extremely proud of this work, in large part because of how much I had to learn to do it. I still know so, so little about this field, and am hoping to keeping learning from y'all through this project.
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But a special shout out to
@mioalter,@robanhk, and@gkossakowski who have already helped me up various steep hills on different dimensions of the learning manifold.Show this thread -
I've created a Gitter room for Rainier at https://gitter.im/com_stripe_rainier/Lobby … . Join me there if you have questions.
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This looks excellent, and the docs are fantastic!
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Very nice work !
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Congratulations, looks really cool!
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Oh my. This looks very cool.
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Any plans to expand to discrete parameters?
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Congratulations!
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