Hi all,
It seems that there is a method to multiply a RowMatrix and a (local)
Matrix.
However, there is not a method to multiply a large scale matrix and another
one in Spark.
It would be helpful. Does anyone have a plan to add multiplying large scale
matrices?
Or shouldn't we support it in
I think it would be interesting to have a variety of matrix operations
(multiplication, addition / subtraction, powers, scalar multiply, etc.)
available in Spark.
Diagonalization may be more difficult but iterative approximation
approaches may be quite amenable.
On Fri, Sep 5, 2014 at 5:26 AM,
Hi RJ,
Thank you for your comment. I am interested in to have other matrix
operations too.
I will create a JIRA issue in the first place.
thanks,
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Hmm, looks like at least some builds
https://amplab.cs.berkeley.edu/jenkins/view/Pull%20Request%20Builders/job/SparkPullRequestBuilder/19804/consoleFull
are working now, though this last one was from ~5 hours ago.
On Fri, Sep 5, 2014 at 1:02 AM, shane knapp skn...@berkeley.edu wrote:
yep.
There's some work on this going on in the AMP Lab. Create a ticket and we
can update with our progress so that we don't duplicate effort.
On Fri, Sep 5, 2014 at 8:18 AM, Yu Ishikawa yuu.ishikawa+sp...@gmail.com
wrote:
Hi RJ,
Thank you for your comment. I am interested in to have other matrix
Hi Evan,
That's sounds interesting.
Here is the ticket which I created.
https://issues.apache.org/jira/browse/SPARK-3416
thanks,
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Hey There,
I believe this is on the roadmap for the 1.2 next release. But
Xiangrui can comment on this.
- Patrick
On Fri, Sep 5, 2014 at 9:18 AM, Yu Ishikawa
yuu.ishikawa+sp...@gmail.com wrote:
Hi Evan,
That's sounds interesting.
Here is the ticket which I created.
FWIW matrix multiplication is extremely communication intensive when
you have two row partitioned matrices and there are often other ways
to solve problems. Regardless, it would be good to have a more
complete matrix library and it would be good to contribute some of the
stuff we have done in the
I don't think that's possible at the moment, mainly because
SparkSubmit expects it to be run from the command line, and not
programatically, so it doesn't return anything that can be used to
control what's going on. You may try to interrupt the thread calling
into SparkSubmit, but that might not
it's looking like everything except the pull request builders are working.
i'm going to be working on getting this resolved today.
On Fri, Sep 5, 2014 at 8:18 AM, Nicholas Chammas nicholas.cham...@gmail.com
wrote:
Hmm, looks like at least some builds
Hey all,
Definitely agreed this would be nice! In our own work we've done element-wise
addition, subtraction, and scalar multiplication of similarly partitioned
matrices very efficiently with zipping. We've also done matrix-matrix
multiplication with zipping, but that only works in certain
How's it going?
It looks like during the last build
https://amplab.cs.berkeley.edu/jenkins/view/Pull%20Request%20Builders/job/SparkPullRequestBuilder/lastBuild/console
from about 30 min ago Jenkins was still having trouble fetching from
GitHub. It also looks like not all requests for testing are
If httpClient dependency is coming from Hive, you could build Spark without
Hive. Alternatively, have you tried excluding httpclient from
spark-streaming dependency in your sbt/maven project?
TD
On Thu, Sep 4, 2014 at 6:42 AM, Koert Kuipers ko...@tresata.com wrote:
custom spark builds should
From output of dependency:tree:
[INFO] --- maven-dependency-plugin:2.8:tree (default-cli) @
spark-streaming_2.10 ---
[INFO] org.apache.spark:spark-streaming_2.10:jar:1.1.0-SNAPSHOT
INFO] +- org.apache.spark:spark-core_2.10:jar:1.1.0-SNAPSHOT:compile
[INFO] | +-
We have successfully purged Jenkins’ build queue. If you want a PR to be
re-tested, please ask Jenkins again.
On September 5, 2014 at 5:36:30 PM, shane knapp (skn...@berkeley.edu) wrote:
yeah, it was a problem w/the PRB's OAuth key. josh rosen added a new key,
and magique!
we're about to
Missed the dev-list last email. Resent it again. Please ignore the
duplicated one.
2014-09-06 11:22 GMT+08:00 顾荣 gurongwal...@gmail.com:
Hi All,
This is RongGu from PasaLab at Nanjing Universtiy,China. Actually, we have
been working on a distributed matrix operations library on Spark this
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