deap

Using a 200k rpm microturbine instead of pistons, which I imagine takes a fair bit of engineering to make it last long enough. Interesting use of Symobic regression: https://en.wikipedia.org/wiki/Symbolic_regression It seems there's a library in python, Distributed Evolutionary Algorithms in Python: https://github.com/DEAP/deap

I am creating a JVM based library for computational intelligence algorithms, similar to https://github.com/deap/deap (python). One of my primary goals with the library is commercial usability and therefore performance, as such I will be relying on Skymind's ND4J/S linear algebra library quite heavily (if you have any experience with alternatives, I am keen on hearing about them). My question is, should I create the library in Java (8) or Scala? - Using Java allows compatibility with most other JVM languages and frameworks (including Scala) if limited to Java 7. - I prefer Scala over Java, as Scala is a more powerful language that will allow me to do more (especially functionally), but primarily I am worried that it will exclude users and/or contributors. - I plan on integrating with Skymind's DL4J neural networks, though I think both lang