Hi everyone,
I have submitted the proposal [1]. Thanks a lot everyone for valuable
insights.
I would greatly appreciate if you can take few minutes to review it.
[1]
https://www.google-melange.com/gsoc/proposal/review/student/google/gsoc2014/chalitha_perera/5629499534213120
Thanks.
Chalitha
It's not about directly porting algorithms to Spark, its about porting
them to a DSL that executes on top of Spark. This page has information
about it:
https://mahout.apache.org/users/sparkbindings/home.html
--sebastian
On 03/19/2014 08:43 AM, chalitha udara Perera wrote:
Thanks a lot everyo
Thanks a lot everyone for valuable insights. Since now the main focus is on
porting to Spark, I would be really happy to get involved with it. Can you
give me more information on current progress with porting, specially
regrading clustering component.
Regards,
Chalitha
On Wed, Mar 19, 2014 at 12
On Wednesday, March 19, 2014 3:09 AM, Dmitriy Lyubimov
wrote:
On Tue, Mar 18, 2014 at 11:56 PM, chalitha udara Perera <
chalithaud...@gmail.com> wrote:
> Hi Dmitriy,
>
> I agree with you that i need to be more specific on this matter. Here I was
> referring to some suggestion given by Sun
On Tue, Mar 18, 2014 at 11:56 PM, chalitha udara Perera <
chalithaud...@gmail.com> wrote:
> Hi Dmitriy,
>
> I agree with you that i need to be more specific on this matter. Here I was
> referring to some suggestion given by Suneel on Mahout 1.0 goals [1], b and
> c.
>
He mainly speaks of test cove
I think it would be great to port our kMeans implementation to Spark. It
should be done by using Dmitriy's DSL similar to what I'm trying in
https://issues.apache.org/jira/browse/MAHOUT-1464
On 03/19/2014 07:56 AM, chalitha udara Perera wrote:
Hi Dmitriy,
I agree with you that i need to be m
Hi Dmitriy,
I agree with you that i need to be more specific on this matter. Here I was
referring to some suggestion given by Suneel on Mahout 1.0 goals [1], b and
c.
For example this is one thing i have experienced while using mahout
clustering. I have used both simple kmeans and spectral kmeans
I think you need to be a little bit more specific as to what you are
proposing exactly. I think "uniform clustering api" needs a bit of
elaboration. I, generally, cannot say that I experienced any pain calling
out clustering algorithms say in R as a well-documented function. In Mahout
just doing t
Hi everyone,
Greatly appreciate your interest on this issue. I have gone through the
document ScalaSparkBindings [1] . In this project my initial idea was to
provide high level API for end user programmers so that they have the
flexibility of plugin in different types of algorithms without concern
Yes. there's interest.
Note that we are trying to unify linear algebra primitives and optimization
on Spark as well. All new linear algebra and interaction with spark context
should probably go thru this layer. This is ongoing thing but some stuff is
working [1]
[1] mAHOUT-1346 https://issues.apac
Hi All,
Going through the mail tread Mahout 1.0 goals, I found that the main focus
of mahout is now towards the code re-factoring and integration with Spark
rather than implementing new algorithms. Recently I have used mahout for
implementing document clustering module a Content Management System.
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