well, I am using IDEA to import the code base.
At 2016-02-25 22:13:11, "Łukasz Gieroń" wrote:
I've just checked, and "mvn eclipse:eclipse" generates incorrect projects as
well.
On Thu, Feb 25, 2016 at 3:04 PM, Allen Zhang wrote:
why not use maven
dev/change-scala-version 2.10 may help you?
At 2016-02-25 21:55:49, "lgieron" wrote:
>The Spark projects generated by sbt eclipse plugin have incorrect dependent
>projects (as visible on Properties -> Java Build Path -> Projects tab). All
>dependent project are missing the "_2.11" suffix (
why not use maven
At 2016-02-25 21:55:49, "lgieron" wrote:
>The Spark projects generated by sbt eclipse plugin have incorrect dependent
>projects (as visible on Properties -> Java Build Path -> Projects tab). All
>dependent project are missing the "_2.11" suffix (for example, it's
>"spark-
Hi Kazuaki,
Jcuda is actually a wrapper of the **pure** CUDA, as your wiki page shows that
3.15x performance boost of logistic regression seems slower than BIDMat-cublas
or pure CUDA.
Could you elaborate on why you chose Jcuda other then JNI to call CUDA directly?
Regards,
Allen Zhang
plus 1,
we are currently using python 2.7.2 in production environment.
在 2016-01-05 18:11:45，"Meethu Mathew" 写道：
+1
We use Python 2.7
Regards,
Meethu Mathew
On Tue, Jan 5, 2016 at 12:47 PM, Reynold Xin wrote:
Does anybody here care about us dropping support for Python 2.6 in Spark
Hi Kazuaki,
I am looking at http://kiszk.github.io/spark-gpu/ , can you point me where is
the kick-start scripts that I can give it a go?
to be more specifically, what does *"off-loading"* mean? aims to reduce the
copy overhead between CPU and GPU?
I am a newbie for GPU, how can I specify how
format issue I think, go ahead
At 2015-12-30 13:36:05, "Ted Yu" wrote:
Hi,
I noticed that there are a lot of checkstyle warnings in the following form:
To my knowledge, we use two spaces for each tab. Not sure why all of a sudden
we have so many IndentationCheck warnings:
grep 'hil
Try -pl option in mvn command, and append -am or amd for more choice.
for instance:
mvn clean install -pl :spark-mllib_2.10 -DskipTests
At 2015-12-25 17:57:41, "salexln" wrote:
>One more question:
>Is there a way only to build the MLlib using command line?
>
>
>
>
>--
>View this message in
+1 (non-binding)
I have just tarball a new binary and tested am.nodelabelexpression and
executor.nodelabelexpression manully, result is expected.
At 2015-12-23 21:44:08, "Iulian Dragoș" wrote:
+1 (non-binding)
Tested Mesos deployments (client and cluster-mode, fine-grained and
coarse
please start a new thread.
On Mon, Dec 21, 2015 at 11:18 PM, Allen Zhang wrote:
plus dev
在 2015-12-22 15:15:59，"Allen Zhang" 写道：
Hi Reynold,
Any new API support for GPU computing in our 2.0 new version ?
-Allen
在 2015-12-22 14:12:50，"Reynold Xin" 写道：
FYI I
plus dev
在 2015-12-22 15:15:59，"Allen Zhang" 写道：
Hi Reynold,
Any new API support for GPU computing in our 2.0 new version ?
-Allen
在 2015-12-22 14:12:50，"Reynold Xin" 写道：
FYI I updated the master branch's Spark version to 2.0.0-SNAPSHOT.
On Tue
^_^ , Thanks Ted.
At 2015-12-18 03:38:46, "Ted Yu" wrote:
I consulted with YARN developer, the notion presented in Allen's email is not
supported yet.
Only single node label should be specified.
Cheers
On Wed, Dec 16, 2015 at 6:40 PM, Allen Zhang wrote:
more detail
more details commands:
2. yarn rmadmin -replaceLabelsOnNode spark-dev:54321,foo;
yarn rmadmin -replaceLabelsOnNode sut-1:54321,bar;
yarn rmadmin -replaceLabelsOnNode sut-2:54321,bye;
yarn rmadmin -replaceLabelsOnNode sut-3:54321,foo;
At 2015-12-17 10:31:20, "Allen Zhang&qu
expressions.
example:
>>> df = sqlContext.range(10)
>>> df.where( (df.id==1) | ~(df.id==1))
DataFrame[id: bigint]
On Wed, Dec 16, 2015 at 4:32 PM, Allen Zhang wrote:
Hi All,
does spark label expression really support "&&" or "||" or even "!" for label
based schedulering?
I tried that but it does NOT work.
Best Regards,
Allen
--
-- 張雅軒
plus 1
在 2015-12-17 09:39:39，"Joseph Bradley" 写道：
+1
On Wed, Dec 16, 2015 at 5:26 PM, Reynold Xin wrote:
+1
On Wed, Dec 16, 2015 at 5:24 PM, Mark Hamstra wrote:
+1
On Wed, Dec 16, 2015 at 1:32 PM, Michael Armbrust
wrote:
Please vote on releasing the following candidate as Apa
'~' for 'not' when building DataFrame
boolean expressions.
example:
>>> df = sqlContext.range(10)
>>> df.where( (df.id==1) | ~(df.id==1))
DataFrame[id: bigint]
On Wed, Dec 16, 2015 at 4:32 PM, Allen Zhang wrote:
Hi All,
does spark label expression re
Hi All,
does spark label expression really support "&&" or "||" or even "!" for label
based schedulering?
I tried that but it does NOT work.
Best Regards,
Allen
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