Nikhil - ¡Muchas Gracias! -=e
On Wed, Dec 13, 2017 at 10:29 AM, Nikhil Kak <n...@pivotal.io> wrote: > 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* > > > > > > -- *Ed Espino*
