JuliaLang/METADATA.jl — pull request #1642 by davidavdav (2014-10-24 18:51:50+00:00)
Title: Package GMMs

Hello,

This is a package that I have been working on for a very long time now, GMMs or Gaussian Mixture Models. It focuses on fairly big models (~2000 Gaussians of ~60 dimensions are not uncommon, where training data might encompass ~ 10^9 or more data points). It has support for training the models on a computing cluster (using ClusterManagers) where data is passed to the training algorithm by streaming from disc.

This week I accomplished some more inner-loop efficiency improvement and I further incorporated the package BigData that seemed not to be viable to live on its own, unfortunately. I even managed to put together a travis automatic test. (I tend to first write a package before I package it so that I can't call Pkg.generate()). I finally changed the license to MIT.

Cheers,

---david