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
