I'm super excited by how close we're getting to releasing some work I've been doing at Stripe on a static compute graph + bayesian inference library for Scala. Depending on your background, you might think of it as aspiring to be "TensorFlow for small data" or "Stan on the JVM".
1/ EvilPlot looks completely awesome and I am eager to get it integrated; and please email me to get into the beta, I would hugely appreciate your feedback.
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2/ it's autodiff on arbitrary Scala that operates on a numeric type which represents an unknown double and does not allow you to directly inspect its value (so you can't, say, use it to index into an array - just do math).
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3/ whatever your Scala code is that manipulates these, ultimately the function it produces (and its gradient) gets compiled down to allocation-free generated JVM bytecode for Array[Double] => Array[Double]
End of conversation
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