I would tend to agree with this approach. We should audit all @Experimenetal labels before the 1.6 release and clear them out when appropriate.
- Patrick On Wed, Oct 14, 2015 at 2:13 AM, Sean Owen <so...@cloudera.com> wrote: > Someone asked, is "ML pipelines" stable? I said, no, most of the key > classes are still marked @Experimental, which matches my expression that > things may still be subject to change. > > But then, I see that MLlib classes, which are de facto not seeing much > further work and no API change, are also mostly marked @Experimental. If, > generally, no more significant work is going into MLlib classes, is it time > to remove most or all of those labels, to keep it meaningful? > > Sean >
