Dear Spark users and developers,
I have released version 1.0.0 of scalable-deeplearning package. This package is
based on the implementation of artificial neural networks in Spark ML. It is
intended for new Spark deep learning features that were not yet merged to Spark
ML or that are too specif
The infra ticket has been updated so I'd say let's stick to running tests
on master branch. We can of course create JIRAs for tests that fail in
branch 2.0 and 1.6
Shivaram
On Sep 9, 2016 09:33, "Hyukjin Kwon" wrote:
> FYI, I just ran the SparkR tests on Windows for branch-2.0 and 1.6.
>
> bran
I agree with Josh. These tests are valuable , even if then can not be run on
Jenkins due to setup issues. It will be good to run them atleast manually, when
jdbc data source specific changes are made . Filed Jira for this problem.
https://issues.apache.org/jira/browse/SPARK-17473
> On Sep
FYI, I just ran the SparkR tests on Windows for branch-2.0 and 1.6.
branch-2.0 - https://github.com/spark-test/spark/pull/7
branch-1.6 - https://github.com/spark-test/spark/pull/8
2016-09-10 0:59 GMT+09:00 Hyukjin Kwon :
> Yes, if we don't have any PRs to other branches on branch-1.5 and lowe
Yes, if we don't have any PRs to other branches on branch-1.5 and lower
versions, I think it'd be fine.
One concern is, I am not sure if SparkR tests can pass on branch-1.6 (I
checked it passes on branch-2.0 before).
I can try to check if it passes and identify the related causes if it does
not
One thing we could do is to backport the commit to branch-2.0 and
branch-1.6 -- Do you think that will fix the problem ?
On Fri, Sep 9, 2016 at 8:50 AM, Hyukjin Kwon wrote:
> Ah, thanks! I wasn't too sure on this so I thought asking here somehow
> reaches out to who's in charge of the account :).
Ah, thanks! I wasn't too sure on this so I thought asking here somehow
reaches out to who's in charge of the account :).
On 10 Sep 2016 12:41 a.m., "Shivaram Venkataraman" <
shiva...@eecs.berkeley.edu> wrote:
> Thanks for debugging - I'll reply on
> https://issues.apache.org/jira/browse/INFRA-125
Thanks for debugging - I'll reply on
https://issues.apache.org/jira/browse/INFRA-12590 and ask for this
change.
FYI I don't any of the committers have access to the appveyor account
which is at https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark
. To request changes that need to be don
Hi all,
Currently, it seems the settings in AppVeyor is default and runs some tests
on different branches. For example,
https://github.com/apache/spark/pull/15023
https://github.com/apache/spark/pull/15022
It seems it happens only in other branches as they don’t have appveyor.yml
and try to
Oh I get it now. I was necessary in the past. Sure, seems like it
could be standardized now.
On Fri, Sep 9, 2016 at 1:13 AM, Reynold Xin wrote:
> Yea but the earlier email was asking they were introduced in the first
> place.
>
>
> On Friday, September 9, 2016, Marcelo Vanzin wrote:
>>
>> Not af
Hi All,
I have video surveillance data and this needs to be processed in Spark. I
am going through the Spark + OpenCV. How to load .mp4 images into an RDD ?
Can we directly do this or the video needs to be coverted to sequenceFile ?
Thanks,
Padma CH
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