We do want to support it eventually, possibly as early as Spark 1.1 (which we’d
cross-build on Scala 2.10 and 2.11). If someone wants to look at it before,
feel free to do so! Scala 2.11 is very close to 2.10 so I think things will
mostly work, except for possibly the REPL (which has require
i believe matei has said before that he would like to crossbuild for 2.10
and 2.11, given that the difference is not as big as between 2.9 and 2.10.
but dont know when this would happen...
On Sat, May 10, 2014 at 11:02 PM, Gary Malouf malouf.g...@gmail.com wrote:
Considering the team just
Hi,
I see ALS is still using Array[Int] but for other mllib algorithm we moved
to Vector[Double] so that it can support either dense and sparse formats...
ALS can stay in Array[Int] due to the Netflix format for input datasets
which is well defined but it helps if we move ALS to Vector[Double]
