Hi,
I need to change the toString on LabeledPoint to libsvm format so that I
can dump RDD[LabeledPoint] as a format that could be read by sparse
glmnet-R and other packages to benchmark mllib classification accuracy...
Basically I have to change the toString of LabeledPoint and toString of
Sparse
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 por
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 wrote:
> Considering the team just bumped to 2.10 in 0.9, I
Thanks for suggesting this and volunteering to do it.
On May 11, 2014 3:32 AM, "Andrew Ash" wrote:
>
> The docs for how to run Spark on Mesos have changed very little since
> 0.6.0, but setting it up is much easier now than then. Does it make sense
> to revamp with the below changes?
>
>
> You n
Andrew,
Updating these docs would be great! I think this would be a welcome change.
In terms of packaging, it would be good to mention the binaries
produced by the upstream project as well, in addition to Mesosphere.
- Patrick
On Thu, May 8, 2014 at 12:51 AM, Andrew Ash wrote:
> The docs for h
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] as
