What is the best way to determine what the library maintainers believe is important work to be done?
I have looked through the JIRA and its unclear what are priority items one could do work on. I am guessing this is in part because things are a little hectic with final work for 2.0, but it would be helpful to know what to look for or if its better to ask library maintainers directly. Thanks, Pedro Rodriguez On Fri, Jun 17, 2016 at 10:46 AM, Xinh Huynh <xinh.hu...@gmail.com> wrote: > Here are some guidelines about contributing to Spark: > > https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark > > There is also a section specific to MLlib: > > > https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-MLlib-specificContributionGuidelines > > -Xinh > > On Thu, Jun 16, 2016 at 9:30 AM, <mylistt...@gmail.com> wrote: > >> Dear All, >> >> >> Looking for guidance. >> >> I am Interested in contributing to the Spark MLlib. Could you please take >> a few minutes to guide me as to what you would consider an ideal path / >> skill an individual should posses. >> >> I know R / Python / Java / C and C++ >> >> I have a firm understanding of algorithms and Machine learning. I do know >> spark at a "workable knowledge level". >> >> Where should I start and what should I try to do first ( spark internal >> level ) and then pick up items on JIRA OR new specifications on Spark. >> >> R has a great set of packages - would it be difficult to migrate them to >> Spark R set. I could try it with your support or if it's desired. >> >> >> I wouldn't mind doing testing of some defects etc as an initial learning >> curve if that would assist the community. >> >> Please, guide. >> >> Regards, >> Harmeet >> >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> >> > -- Pedro Rodriguez PhD Student in Distributed Machine Learning | CU Boulder UC Berkeley AMPLab Alumni ski.rodrig...@gmail.com | pedrorodriguez.io | 909-353-4423 Github: github.com/EntilZha | LinkedIn: https://www.linkedin.com/in/pedrorodriguezscience
