I would suggest starting with some starter tasks <https://issues.apache.org/jira/browse/SPARK-8925?jql=project%20%3D%20SPARK%20AND%20status%20in%20(Open%2C%20%22In%20Progress%22%2C%20Reopened)%20AND%20component%20in%20(ML%2C%20MLlib)%20AND%20labels%20%3D%20starter%20AND%20%22Target%20Version%2Fs%22%20%3D%201.5.0> to get familiar with the codebase.
On Tue, Jul 14, 2015 at 6:46 AM, Rakesh Chalasani <vnit.rak...@gmail.com> wrote: > Here is a more specific MLlib related Umbrella for 1.5 that can help you > get started > https://issues.apache.org/jira/browse/SPARK-8445?jql=text%20~%20%22mllib%201.5%22 > > Rakesh > > On Tue, Jul 14, 2015 at 6:52 AM Akhil Das <ak...@sigmoidanalytics.com> > wrote: > >> You can try to resolve some Jira issues, to start with try out some >> newbie JIRA's. >> >> Thanks >> Best Regards >> >> On Tue, Jul 14, 2015 at 4:10 PM, srinivasraghavansr71 < >> sreenivas.raghav...@gmail.com> wrote: >> >>> I saw the contribution sections. As a new contibutor, should I try to >>> build >>> patches or can I add some new algorithm to MLlib. I am comfortable with >>> python and R. Are they enough to contribute for spark? >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-developers-list.1001551.n3.nabble.com/Contributiona-nd-choice-of-langauge-tp13179p13209.html >>> Sent from the Apache Spark Developers List mailing list archive at >>> Nabble.com. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> For additional commands, e-mail: dev-h...@spark.apache.org >>> >>> >>
