Is "mllib" no longer Experimental?

[Sean Owen <so...@cloudera.com>]

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

Re: Is "mllib" no longer Experimental?

[Patrick Wendell <pw...@gmail.com>]

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
>