Thanks guys! I'll poke around your jira and start that way. Looking forward to it.
Best Andrew On Thu, Apr 4, 2013 at 11:56 PM, Sebastian Schelter <ssc.o...@googlemail.com > wrote: > Great to hear that you use Mahout in production! If you want to start > working on it, you can either browse our jira issues or propose some > issue to work on yourself. > > If you need some input, it would be awesome to enhance our ALS > recommenders with cross-validation and tooling for finding a good > regularization parameter. > > On 05.04.2013 01:56, Andrew Musselman wrote: > > In case this thread is still a good place to reply with an offer to help, > > I'd love to pitch in. I have built a few production recommenders, most > > recently using Mahout at a large retailer along with my partner where we > > used ALS, with a pipeline of transforming transactions in XML into > vectors > > using Pig, running them through Mahout, and writing to Cassandra. I've > > also used Hadoop extensively and am experienced writing non-trivial UDF > > libraries for Pig, so I am comfortable in that world. > > > > Where to start? Do you guys have bugs ranked in priority? > > > > Thanks > > Andrew > > > > > > On Wed, Mar 27, 2013 at 5:01 PM, Daniel Longest <dlong...@gmail.com> > wrote: > > > >>> Have you used Mahout in some context before? Did you already checkout > the > >>> code base and build it? It usually helps if you are looking into > >> solving a > >>> specific problem with the project to find an area that interests you > >>> personally. > >> > >> I worked through the Coursera ML course, which is how I heard about > >> Mahout. I then read through some of Mahout in Action. I have checked > >> out the codebase, had difficulty building it on Windows, but I've done > >> it successfully on Ubuntu tonight so full steam ahead. Not sure I have > >> a specific interest, seen a lot of good ideas thrown around on this > >> thread this week. Ted had listed some possible GSOC ideas that I'd be > >> open to if no students took them on. I see the JIRA has an "intro" > >> tag, was going to explore some of those a bit to get my feet wet. > >> > >> Daniel > >> > > > >
