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Posted to user@spark.apache.org by Krishna Sankar <ks...@gmail.com> on 2014/09/27 21:15:30 UTC
MLlib 1.2 New & Interesting Features
Guys,
- Need help in terms of the interesting features coming up in MLlib 1.2.
- I have a 2 Part, ~3 hr hands-on tutorial at the Big Data Tech Con
- "The Hitchhiker's Guide to Machine Learning with Python & Apache
Spark"[2]
- At minimum, it would be good to take the last 30 min to elaborate the
new features in MLlib coming up in 1.2.
- If the features are stable, I might use 1.2 for the tutorial.
- It is hands-on, so want to use a stable Spark version.
1. What are the salient ML features slated to be part of 1.2 ?
2. Which branch should I look at ?
3. Will it be stable enough by Oct 29th for the attendees to download ?
Then I can plan the materials around it.
Cheers
<k/>
[1] My two talks : http://www.bigdatatechcon.com/speakers.html#KrishnaSankar
[2] Spark Talk : http://goo.gl/4Pcvuq
Re: MLlib 1.2 New & Interesting Features
Posted by Krishna Sankar <ks...@gmail.com>.
Thanks Xiangrui. Appreciate the insights.
I have uploaded the initial version of my presentation at
http://goo.gl/1nBD8N
Cheers
<k/>
On Mon, Sep 29, 2014 at 12:17 AM, Xiangrui Meng <me...@gmail.com> wrote:
> Hi Krishna,
>
> Some planned features for MLlib 1.2 can be found via Spark JIRA:
> http://bit.ly/1ywotkm , though this list is not fixed. The feature
> freeze will happen by the end of Oct. Then we will cut branch-1.2 and
> start QA. I don't recommend using branch-1.2 for hands-on tutorial
> around Oct 29th because that branch is not full tested at that time.
> You should use 1.1 instead. Its binary packages and documentation can
> be easily found on spark.apache.org, which is important for making
> hands-on tutorial.
>
> Best,
> Xiangrui
>
> On Sat, Sep 27, 2014 at 12:15 PM, Krishna Sankar <ks...@gmail.com>
> wrote:
> > Guys,
> >
> > Need help in terms of the interesting features coming up in MLlib 1.2.
> > I have a 2 Part, ~3 hr hands-on tutorial at the Big Data Tech Con
> >
> > "The Hitchhiker's Guide to Machine Learning with Python & Apache
> Spark"[2]
> >
> > At minimum, it would be good to take the last 30 min to elaborate the new
> > features in MLlib coming up in 1.2.
> >
> > If the features are stable, I might use 1.2 for the tutorial.
> > It is hands-on, so want to use a stable Spark version.
> >
> > What are the salient ML features slated to be part of 1.2 ?
> > Which branch should I look at ?
> > Will it be stable enough by Oct 29th for the attendees to download ?
> Then I
> > can plan the materials around it.
> >
> > Cheers
> > <k/>
> >
> >
> > [1] My two talks :
> http://www.bigdatatechcon.com/speakers.html#KrishnaSankar
> > [2] Spark Talk : http://goo.gl/4Pcvuq
> >
>
Re: MLlib 1.2 New & Interesting Features
Posted by Xiangrui Meng <me...@gmail.com>.
Hi Krishna,
Some planned features for MLlib 1.2 can be found via Spark JIRA:
http://bit.ly/1ywotkm , though this list is not fixed. The feature
freeze will happen by the end of Oct. Then we will cut branch-1.2 and
start QA. I don't recommend using branch-1.2 for hands-on tutorial
around Oct 29th because that branch is not full tested at that time.
You should use 1.1 instead. Its binary packages and documentation can
be easily found on spark.apache.org, which is important for making
hands-on tutorial.
Best,
Xiangrui
On Sat, Sep 27, 2014 at 12:15 PM, Krishna Sankar <ks...@gmail.com> wrote:
> Guys,
>
> Need help in terms of the interesting features coming up in MLlib 1.2.
> I have a 2 Part, ~3 hr hands-on tutorial at the Big Data Tech Con
>
> "The Hitchhiker's Guide to Machine Learning with Python & Apache Spark"[2]
>
> At minimum, it would be good to take the last 30 min to elaborate the new
> features in MLlib coming up in 1.2.
>
> If the features are stable, I might use 1.2 for the tutorial.
> It is hands-on, so want to use a stable Spark version.
>
> What are the salient ML features slated to be part of 1.2 ?
> Which branch should I look at ?
> Will it be stable enough by Oct 29th for the attendees to download ? Then I
> can plan the materials around it.
>
> Cheers
> <k/>
>
>
> [1] My two talks : http://www.bigdatatechcon.com/speakers.html#KrishnaSankar
> [2] Spark Talk : http://goo.gl/4Pcvuq
>
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