Hi Ed, Thanks for creating the dashboard. Since we are inching closer to the 1.13 release, I will take up the responsibility of moving all the unrelated/unfinished JIRAs to 1.14.
Thanks Nikhil Kak On Tue, Dec 12, 2017 at 8:31 PM Frank McQuillan <fmcquil...@pivotal.io> wrote: > Thank Ed for creating the dashboard and the next release 1.14. Taking a > quick look at it, I have not seen PRs or know of work yet near completion > on: > > MADLIB-1037 Multi-class SVM with mini-batching > MADLIB-1047 General purpose multiclass classifier > MADLIB-1048 Add mini-batching to IGD framework > MADLIB-1049 Create generic multi-class classifier > MADLIB-1074 Graph cut > > so these are candidates to move to 1.14. The community will hopefully get > to them in 1.14 since they look like great features. > > Others please chip in for other 1.13 features to move to 1.14, or if you > have PRs this week that you are going to put up so we are aware. > > Frank > > > > On Tue, Dec 12, 2017 at 5:17 PM, Ed Espino <esp...@apache.org> wrote: > > > As we get closer to wrap up the release, I have put together the > following > > publicly accessible Apache Jira dashboard (with supporting public > searches) > > to help us track the outstanding issues marked for this release. We will > be > > collaborating on moving issues to a subsequent release as we want to get > in > > one last release for the year. Your continued cooperation is greatly > > appreciated. > > > > Apache MADlib v1.13 Release: > > > https://issues.apache.org/jira/secure/Dashboard.jspa?selectPageId=12332167 > > > > Regards, > > -=e > > > > -- > > *Ed Espino* > > >
