Hello everyone! Nearly ten years ago, I wrote a document called "The Future of MLPACK": http://www.ratml.org/misc/mlpack_future.pdf
That document laid out four goals for the development of mlpack: * Create scalable, fast machine learning algorithms. * Design an intuitive, simple API for users who are not C++ gurus. * Implement as large a collection as possible of machine learning methods. * Provide cutting-edge machine learning algorithms that no other library does. In the decade since I wrote that, I think that we have made some incredible efforts towards those goals. But now it's 2020, and maybe it's time to revisit these goals. In the past ten years the world has changed in ways that I certainly couldn't have predicted; when I wrote those four goals above, Python was not even the dominant language for data science! I think even the term "data scientist" hadn't even really entered the popular lexicon. Is anyone here interested in discussing the directions we should take in the next 3-5 years or so? If we could make a new design document with our goals and the things we want to see mlpack solve, this could be really helpful for new contributors---and for users---to know "what we're all about" and what we're aimed at. I've certainly learned a lot in the past ten years about project planning and setting goals. So I'd love the chance to help moderate, guide, and contribute to a discussion like this. More importantly, I'd love to see what each of our development interests are, so that maybe we can all team up on the things we all believe in to make them a reality. :) So... to kick it off: - What's a goal that you think should be in an mlpack development plan, and why? I opened a Github issue where we can have the discussion: https://github.com/mlpack/mlpack/issues/2524 (If you post a response to the list, I'll probably copy-paste it to there, so we can keep discussion in one place. :)) -- Ryan Curtin | "Bye-bye, goofy woman. I enjoyed repeatedly [email protected] | throwing you to the ground." - Ben Jabituya _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
