Re: Spark.ml roadmap 2.3.0 and beyond

awesome thanks Joseph 2018-03-20 14:51 GMT-07:00 Joseph Bradley : > The promised roadmap JIRA: https://issues.apache. > org/jira/browse/SPARK-23758 > > Note it doesn't have much explicitly listed yet, but committers can add > items as they agree to shepherd them.

Re: Spark.ml roadmap 2.3.0 and beyond

The promised roadmap JIRA: https://issues.apache.org/jira/browse/SPARK-23758 Note it doesn't have much explicitly listed yet, but committers can add items as they agree to shepherd them. (Committers, make sure to check what you're currently listed as shepherding!) The links for searching can be

Re: Spark.ml roadmap 2.3.0 and beyond

Thanks Joseph. We can wait for post 2.3.0. 2017-12-07 15:36 GMT-08:00 Joseph Bradley : > Hi Stephen, > > I used to post those roadmap JIRAs to share instructions for contributing > to MLlib and to try to coordinate amongst committers. My feeling was that > the

Re: Spark.ml roadmap 2.3.0 and beyond

Hi Stephen, I used to post those roadmap JIRAs to share instructions for contributing to MLlib and to try to coordinate amongst committers. My feeling was that the coordination aspect was of mixed success, so I did not post one for 2.3. I'm glad you pinged about this; if those were useful, then

Re: Spark.ml roadmap 2.3.0 and beyond

There are several JIRA's and/or PR's that contain logic the Data Science teams that I work with use in their local models. We are trying to determine if/when these features may gain traction again. In at least one case all of the work were done but the shepherd said that getting it committed

Spark.ml roadmap 2.3.0 and beyond

The roadmaps for prior releases e.g. 1.6 2.0 2.1 2.2 were available: 2.2.0 https://issues.apache.org/jira/browse/SPARK-18813 2.1.0 https://issues.apache.org/jira/browse/SPARK-15581 .. It seems those roadmaps were not available per se' for 2.3.0 and later? Is there a different mechanism for that