Sounds interesting; what part would you like to start with? If you need help getting started we're happy to point you in a good direction.
On Fri, Sep 4, 2015 at 9:55 AM, alxsmac733 . <ajmoreno1...@gmail.com> wrote: > Hi everyone, > > Would there be any interest in adding algebraic classification methods to > Mahout? It's an elegant approach that allows for easy online and parallel > training as well as fast cross-validation. Below are some links describing > the approach as well as an existing Haskell package implemented by the > author. The first paper does a very good job of explaining the basic > concepts clearly and concisely. > > https://izbicki.me/public/papers/icml2013-algebraic-classifiers.pdf > > https://izbicki.me/public/papers/tfp2013-hlearn-a-machine-learning-library-for-haskell.pdf > https://izbicki.me/ > https://github.com/mikeizbicki/HLearn > > The author saw a very large speed up implementing these techniques when > compared with popular existing libraries such as Weka. Aside from the > potential performance gains to be had, I think imposing algebraic structure > provides a nice layer of abstraction over the particular models being > implemented. > > I'd love to hear everyone's feedback on this. Thanks for your time and > enjoy your weekends! > > Alex Moreno >
