+1Sent from my iPhoneOn Apr 16, 2024, at 3:11 PM, bo yang wrote:+1On Tue, Apr 16, 2024 at 1:38 PM Hyukjin Kwon wrote:+1On Wed, Apr 17, 2024 at 3:57 AM L. C. Hsieh wrote:+1
On Tue, Apr 16, 2024 at 4:08 AM Wenchen Fan wrote:
>
> +1
>
Aligning with Spark releases is sensible, as it allows us to guarantee that
the Spark operator functions correctly with the new version while also
maintaining support for previous versions.
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Apr 9, 2024, at 9:45 AM, Mri
+1
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Nov 14, 2023, at 10:14 AM, Vakaris Baškirov
> wrote:
>
> +1 (non-binding)
>
> On Tue, Nov 14, 2023 at 8:03 PM Chao Sun <mailto:sunc...@apache.org>> wrote:
>> +1
>>
>>
Kubernetes operator is essential for our Spark
community as well.
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Nov 9, 2023, at 12:05 PM, Zhou Jiang wrote:
>
> Hi Spark community,
> I'm reaching out to initiate a conversation about the possibility of
> de
+1
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Feb 14, 2023, at 8:29 AM, Guo Weijie wrote:
>
> +1
>
> Yuming Wang mailto:wgy...@gmail.com>> 于2023年2月14日周二
> 15:58写道:
>> +1
>>
>> On Tue, Feb 14, 2023 at 11:27 AM Prem Sahoo >
+1Sent from my iPhoneOn Jan 31, 2023, at 4:16 PM, Yuming Wang wrote:+1.On Wed, Feb 1, 2023 at 7:42 AM kazuyuki tanimura wrote:Great! Much appreciated, Mitch!
KazuOn Jan 31, 2023, at 3:07 PM, Mich Talebzadeh wrote:Thanks, Kazu.I followed that template link and indeed
Thank you, Huaxin for the 3.2.1 release!
Sent from my iPhone
> On Jan 28, 2022, at 5:45 PM, Chao Sun wrote:
>
>
> Thanks Huaxin for driving the release!
>
>> On Fri, Jan 28, 2022 at 5:37 PM Ruifeng Zheng wrote:
>> It's Great!
>> Congrats and thanks, huaxin!
>>
>>
>> --
Thank you, Dongjoon for driving the build infra.
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Jan 9, 2022, at 6:38 PM, shane knapp ☠ wrote:
>
>
> apache spark jenkins lives on!
>
> @dongjoon, let me know if there's anything you need. ni
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> >>
> >>
> > -
> > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
> >
>
>
> -
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+1
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
On Fri, Oct 29, 2021 at 11:42 AM Ryan Blue wrote:
> +1
>
> On Fri, Oct 29, 2021 at 11:06 AM huaxin gao
> wrote:
>
>> +1
>>
>> On Fri, Oct 29, 2021 at 10:59 AM Dongjoon Hyun
>> wrote:
>&g
forward to
it as a new feature in Spark 3.3
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
On Fri, Oct 22, 2021 at 12:18 PM Chao Sun wrote:
>
> Hi,
>
> Ryan and I drafted a design doc to support a new type of join: storage
> partitioned join which covers buck
+1
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
On Mon, Oct 11, 2021 at 6:01 AM Almeida, (Ricardo)
wrote:
>
> +1 (non-binding)
>
>
>
> Ricardo Almeida
>
>
>
> From: Xiao Li
> Sent: Monday, October 11, 2021 9:09 AM
> To: Yi Wu
> Cc: Ho
Hello Xiao, there are multiple patches in Spark 3.2 depending on parquet
1.12, so it might be easier to wait for the fix in parquet community
instead of reverting all the related changes. The fix in parquet community
is very trivial, and we hope that it will not take too long. Thanks.
DB Tsai
+1 on renaming.
DB Tsai | https://www.dbtsai.com/ | PGP 42E5B25A8F7A82C1
> On Jun 24, 2021, at 11:41 AM, Chao Sun wrote:
>
> Hi,
>
> As Spark master has upgraded to Hadoop-3.3.1, the current Maven profile name
> hadoop-3.2 is no longer accurate, and it may confus
+1 (binding)
> On Apr 28, 2021, at 9:26 AM, Liang-Chi Hsieh wrote:
>
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.4.8.
>
> The vote is open until May 4th at 9AM PST and passes if a majority +1 PMC
> votes are cast, with a minimum of 3 +1 votes.
>
> [ ] +1
+1 (binding)
DB Tsai | ACS Spark Core | Apple, Inc.
> On Apr 14, 2021, at 10:42 AM, Wenchen Fan wrote:
>
> +1 (binding)
>
> On Thu, Apr 15, 2021 at 12:22 AM Maxim Gekk <mailto:maxim.g...@databricks.com>> wrote:
> +1 (non-binding)
>
> On Wed, Apr
econd
>>> one, we propose (SPARK-34198) to add it as an external module to relieve the
>>> dependency concern.
>>>
>>> Because it was pushed back previously, I'm going to raise this discussion to
>>> know what people think about it now, in advance of submitt
>>
>> Active discussions on the jira and SPIP document have settled.
>>
>> I will leave the vote open until Friday (the 18th September 2020), 5pm
>> CST.
>>
>> [ ] +1: Accept the proposal as an official SPIP
>> [ ] +0
>> [ ] -1: I don't think this is a good idea because ...
>>
>>
>> Thanks,
>> Mridul
>>
>
--
Sincerely,
DB Tsai
--
Web: https://www.dbtsai.com
PGP Key ID: 42E5B25A8F7A82C1
;
>>> +1 for having this feature in Spark
>>>
>>>
>>>
>>> --
>>> Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
>>>
>>> -----
&
At the job level sure, but upgrading large jobs, possibly written in Scala
>> 2.11, whole-hog as it currently stands is not a small matter.
>>
>> On Fri, Jun 12, 2020 at 9:40 PM DB Tsai wrote:
>> +1 for a 2.x release with DSv2, JDK11, and Scala 2.11 support
>>
forward using new
features. Afterall, the reason why we are working on OSS is we like people
to use our code, isn't it?
Sincerely,
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On Fri, Jun 12, 2020 at 8:51 PM Jungtaek
+1 (binding)
Sincerely,
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On Mon, Jun 8, 2020 at 1:03 PM Dongjoon Hyun wrote:
>
> +1
>
> Thanks,
> Dongjoon.
>
> On Mon, Jun 8, 2020 at 6:37 AM Russ
+1 (binding), thanks!
On Sun, May 31, 2020 at 9:23 PM Wenchen Fan wrote:
> +1 (binding), although I don't know why we jump from RC 3 to RC 8...
>
> On Mon, Jun 1, 2020 at 7:47 AM Holden Karau wrote:
>
>> Please vote on releasing the following candidate as Apache Spark
>> version 2.4.6.
>>
>>
' code when
upgrading from Scala 2.11 to Scala 2.12.
Thanks,
Sincerely,
DB Tsai
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Sincerely,
DB Tsai
--
Web: https
+1 as well. Thanks.
On Sun, May 17, 2020 at 7:39 AM Sean Owen wrote:
> +1 , same response as to the last RC.
> This looks like it includes the fix discussed last time, as well as a
> few more small good fixes.
>
> On Sat, May 16, 2020 at 12:08 AM Holden Karau
> wrote:
> >
> > Please vote on
+1 Thanks.
Sincerely,
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On Tue, Jan 14, 2020 at 11:08 AM Sean Owen wrote:
>
> Yeah it's something about the env I spun up, but I don't know what. It
> happens f
+1
Thanks!
On Wed, Aug 28, 2019 at 7:14 AM Wenchen Fan wrote:
> +1, no more blocking issues that I'm aware of.
>
> On Wed, Aug 28, 2019 at 8:33 PM Sean Owen wrote:
>
>> +1 from me again.
>>
>> On Tue, Aug 27, 2019 at 6:06 PM Dongjoon Hyun
>> wrote:
>> >
>> > Please vote on releasing the
is not desired in minor release?
Thanks.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
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+1
Sincerely,
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On Tue, Aug 27, 2019 at 11:31 AM Dongjoon Hyun wrote:
>
> +1.
>
> I also verified SHA/GPG and tested UTs on AdoptOpenJDKu8_222/CentOS6.9 wit
Congratulations on the great work!
Sincerely,
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On Sat, Aug 24, 2019 at 8:11 AM Dongjoon Hyun wrote:
>
> Hi, All.
>
> Thanks to your many many contributions,
&g
+1
On Tue, Aug 13, 2019 at 4:16 PM Dongjoon Hyun wrote:
>
> Hi, All.
>
> Spark 2.4.3 was released three months ago (8th May).
> As of today (13th August), there are 112 commits (75 JIRAs) in `branch-24`
> since 2.4.3.
>
> It would be great if we can have Spark 2.4.4.
> Shall we start `2.4.4
processing support, I can imagine that the
heavy lifting parts of ML applications (such as computing the
objective functions) can be written as columnar expressions that
leverage on SIMD architectures to get a good speedup.
Sincerely,
DB Tsai
+user list
We are happy to announce the availability of Spark 2.4.1!
Apache Spark 2.4.1 is a maintenance release, based on the branch-2.4
maintenance branch of Spark. We strongly recommend all 2.4.0 users to
upgrade to this stable release.
In Apache Spark 2.4.1, Scala 2.12 support is GA, and
.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
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This vote passes!
+1:
Wenchen Fan (binding)
Sean Owen (binding)
Mihaly Toth
DB Tsai (binding)
Jonatan Jäderberg
Xiao Li (binding)
Denny Lee
Felix Cheung (binding)
+0: None
-1: None
It's the largest RC ever; I will follow up with an official release
announcement soon.
Thank you all for your
+1 from myself
On Thu, Mar 28, 2019 at 3:14 AM Mihaly Toth
wrote:
> +1 (non-binding)
>
> Thanks, Misi
>
> Sean Owen ezt írta (időpont: 2019. márc. 28., Cs,
> 0:19):
>
>> +1 from me - same as last time.
>>
>> On Wed, Mar 27, 2019 at 1:31 PM DB Tsai wr
typically not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
DB Tsai | Siri Open Source Te
RC9 was just cut. Will send out another thread once the build is finished.
Sincerely,
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On Mon, Mar 25, 2019 at 5:10 PM Sean Owen wrote:
>
> That's all merged now. I
I am going to cut a 2.4.1 rc9 soon tonight. Besides SPARK-26961
https://github.com/apache/spark/pull/24126 , anything critical that we
have to wait for 2.4.1 release? Thanks!
Sincerely,
DB Tsai
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Hello Sean,
By looking at SPARK-26961 PR, seems it's ready to go. Do you think we
can merge it into 2.4 branch soon?
Sincerely,
DB Tsai
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On Sat, Mar 23, 2019 at 12:04 PM Sean Owen
-1
I will fail RC8, and cut another RC9 on Monday to include SPARK-27160,
SPARK-27178, SPARK-27112. Please let me know if there is any critical
PR that has to be back-ported into branch-2.4.
Thanks.
Sincerely,
DB Tsai
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Web: https
branch-2.4, can you make anther PR against branch-2.4 so we can
include the ORC fix in 2.4.1?
Thanks.
Sincerely,
DB Tsai
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On Wed, Mar 20, 2019 at 9:11 PM Felix Cheung wrote
the differences
between RC8 and 2.4.0 are big? If an issue is found to justify to fail
RC8, we can include SPARK-27112 and SPARK-27160 in next cut. Thus,
even we decide to cut another RC, it will be easier to test.
Thanks.
Sincerely,
DB Tsai
--
Web
typically not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
DB Tsai | Siri Open Source Te
Since rc8 was already cut without the k8s client upgrade; the build is
ready to vote, and including k8s client upgrade in 2.4.1 implies that
we will drop the old-but-not-that-old
K8S versions as Sean mentioned, should we include this upgrade in 2.4.2?
Thanks.
Sincerely,
DB Tsai
As we have many important fixes in 2.4 branch which we want to release
asap, and this is is not a regression from Spark 2.4; as a result, 2.4.1
will be not blocked by this.
Sincerely,
DB Tsai
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PGP Key ID
Since I can not find the commit of `Preparing development version
2.4.2-SNAPSHOT` after rc6 cut, it's very risky to fix the branch and do a
force-push. I'll follow Marcelo's suggestion to have another rc7 cut. Thus,
this vote fails.
DB Tsai | Siri Open Source Technologies [not a contribution
Okay, I see the problem. rc6 tag is not in the 2.4 branch. It's very weird. It
must be overwritten by a force push.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Mar 8, 2019, at 11:39 AM, DB Tsai wrote:
>
> I was using `./do-release-docker.sh`
of using the
same commit causing this issue.
Should we create a new rc7?
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Mar 8, 2019, at 10:54 AM, Marcelo Vanzin
> wrote:
>
> I personally find it a little weird to not have the commit i
typically not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
DB Tsai | Siri Open Source Technologies [not a co
-streaming-flume-assembly_2.11-2.4.1-tests.jar',
check the logs.*
I am sure my key is in the key server, and the weird thing is that it fails
on different jars each time I ran the publish script.
Sincerely,
DB Tsai
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I am cutting a new rc4 with fix from Felix. Thanks.
Sincerely,
DB Tsai
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On Thu, Feb 21, 2019 at 8:57 AM Felix Cheung wrote:
>
> I merged the fix
Okay. Let's fail rc2, and I'll prepare rc3 with SPARK-26859.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Feb 20, 2019, at 12:11 PM, Marcelo Vanzin
> wrote:
>
> Just wanted to point out that
> https://issues.apache.org/jira/bro
y not hold the
release unless the bug in question is a regression from the previous
release. That being said, if there is something which is a regression
that has not been correctly targeted please ping me or a committer to
help target the issue.
DB Tsai | Siri Open Source Technologies [not a co
Great. I'll prepare the release for voting. Thanks!
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Feb 12, 2019, at 4:11 AM, Wenchen Fan wrote:
>
> +1 for 2.4.1
>
> On Tue, Feb 12, 2019 at 7:55 PM Hyukjin Kwon wrote:
> +1 for 2.4.1
&g
Hello all,
I am preparing to cut a new Apache 2.4.1 release as there are many bugs and
correctness issues fixed in branch-2.4.
The list of addressed issues are
-1
Agreed with Anton that this bug will potentially corrupt the data
silently. As he is ready to submit a PR, I'll suggest to wait to
include the fix. Thanks!
Sincerely,
DB Tsai
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+1
Sincerely,
DB Tsai
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On Tue, Jan 8, 2019 at 11:14 AM Dongjoon Hyun wrote:
>
> Please vote on releasing the following candidate as Apache Spark version
> 2.2.3.
>
I like the idea of checking only the diff. Even I am sometimes confused
about the right style in Spark since I am working on multiple projects with
slightly different coding styles.
On Wed, Nov 21, 2018 at 1:36 PM Sean Owen wrote:
> I know the PR builder runs SBT, but I presume this would just
+1 on removing Scala 2.11 support for 3.0 given Scala 2.11 is already EOL.
On Tue, Nov 20, 2018 at 2:53 PM Sean Owen wrote:
> PS: pull request at https://github.com/apache/spark/pull/23098
> Not going to merge it until there's clear agreement.
>
> On Tue, Nov 20, 2018 at 10:16 AM Ryan Blue
if we want to change the alternative Scala version
to 2.13 and drop 2.11 if we just want to support two Scala versions at
one time.
Thanks.
Sincerely,
DB Tsai
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On Wed, Nov 7, 2018
Ideally, supporting only Scala 2.12 in Spark 3 will be ideal.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Nov 6, 2018, at 2:55 PM, Felix Cheung wrote:
>
> So to clarify, only scala 2.12 is supported in Spark 3?
>
>
> From: Ryan Blu
agree
with Sean that this can make the decencies really complicated; hence I support
to drop Scala 2.11 in Spark 3.0 directly.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Nov 6, 2018, at 11:38 AM, Sean Owen wrote:
>
> I think we should make S
OpenJDK will follow Oracle's release cycle,
https://openjdk.java.net/projects/jdk/
<https://openjdk.java.net/projects/jdk/>, a strict six months model. I'm not
familiar with other non-Oracle VMs and Redhat support.
DB Tsai | Siri Open Source Technologies [not a contribution] | Appl
Given Oracle's new 6-month release model, I feel the only realistic option is
to only test and support JDK such as JDK 11 LTS and future LTS release. I would
like to have a discussion on this in Spark community.
Thanks,
DB Tsai | Siri Open Source Technologies [not a contribution
to work on bugs and
issues that we may run into.
What do you think?
Thanks,
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
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Given Oracle's new 6-month release model, I think the only realistic option is
to only support and test LTS JDK. I'll send out two separate emails to dev to
facilitate the discussion.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Nov 6, 2018, at 9:47 AM, sh
are selected simultaneously.
https://issues.apache.org/jira/browse/SPARK-25879
If we decide to not fix it in 2.4, we should at least document it in
the release note to let users know.
Sincerely,
DB Tsai
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I'll +1 on removing those legacy mllib code. Many users are confused about the
APIs, and some of them have weird behaviors (for example, in gradient descent,
the intercept is regularized which supports not to).
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
4 PM, Holden Karau
>> wrote:
>> > I agree that's a little odd, could we not add the bacspace terminal
>> > character? Regardless even if not, I don't think that should be a
>> blocker
>> > for 2.12 support especially since it doesn't degrade the 2.11
>&g
ark context Web UI available at http://192.168.1.169:4040
Spark context available as 'sc' (master = local[*], app id =
local-1528180279528).
Spark session available as 'spark’.
scala>
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Jun 7, 2018, at 5:49 P
a blocker for us to move to newer version of Scala 2.12.x
since the newer version of Scala 2.12.x has the same issue.
In my opinion, Scala should fix the root cause and provide a stable hook for
3rd party developers to initialize their custom code.
DB Tsai | Siri Open Source Technologies
, and
the result should match R.
DB Tsai | Siri Open Source Technologies [not a contribution] | Apple, Inc
> On Apr 20, 2018, at 5:56 PM, Weichen Xu <weichen...@databricks.com> wrote:
>
> Right. If regularization item isn't zero, then enable/disable standardization
> will ge
gt; datatypes?
>>
>>
>> For parquet, this effort is primarily tracked via SPARK-4502 (see
>> https://github.com/apache/spark/pull/16578) and is currently targeted for
>> 2.3.
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Congratulations!
On Wed, Oct 4, 2017 at 6:55 PM, Liwei Lin wrote:
> Congratulations!
>
> Cheers,
> Liwei
>
> On Wed, Oct 4, 2017 at 2:27 PM, Yuval Itzchakov wrote:
>>
>> Congratulations and Good luck! :)
>>
>>
>>
>> --
>> Sent from:
+1
Sincerely,
DB Tsai
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On Fri, Oct 6, 2017 at 7:46 AM, Felix Cheung <felixcheun...@hotmail.com> wrote:
> Thanks Nick, Hyukjin. Yes this seems to be a longer stand
-1
I think that back-porting SPARK-20270
<https://github.com/apache/spark/pull/17577> and SPARK-18555
<https://github.com/apache/spark/pull/15994> are very important since it's
a critical bug that na.fill will mess up the data in Long even the data
isn't null.
Thanks.
Sincere
Congrats, Xiao!
Sincerely,
DB Tsai
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On Wed, Oct 5, 2016 at 2:36 PM, Fred Reiss <freiss@gmail.com> wrote:
> Congratulations, Xiao!
>
> Fred
>
>
> On
+1 for renaming the jar file.
Sincerely,
DB Tsai
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On Tue, Apr 5, 2016 at 8:02 PM, Chris Fregly <ch...@fregly.com> wrote:
> perhaps renaming to Spark ML would actually clea
maintenance cost. Once it's getting mature, and
people are asking for them, we will gradually make them public.
Thanks.
Sincerely,
DB Tsai
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On Sat, Nov 28, 2015 at 5:20 AM, Sasaki Kai
I used reflection initially, but I found it's very slow especially in
a tight loop. Maybe caching the reflection can help which I never try.
Sincerely,
DB Tsai
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On Mon, Nov 30, 2015
ear regression, but currently, there is no open source
implementation in Spark.
Sincerely,
DB Tsai
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On Sun, Nov 1, 2015 at 9:22 AM, Zhiliang Zhu <zchl.j...@yahoo.com> wrote:
> Dear All,
shrinkage).
Thanks.
Sincerely,
DB Tsai
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On Mon, Oct 26, 2015 at 8:37 PM, Meihua Wu <rotationsymmetr...@gmail.com> wrote:
> Hi DB Tsai,
>
> Thank you very much fo
Also, does it support categorical feature?
Sincerely,
DB Tsai
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On Mon, Oct 26, 2015 at 4:06 PM, DB Tsai <dbt...@dbtsai.com> wrote:
> Interesting. For feature sub-sampling,
Interesting. For feature sub-sampling, is it per-node or per-tree? Do
you think you can implement generic GBM and have it merged as part of
Spark codebase?
Sincerely,
DB Tsai
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On Mon
There is a JIRA for this. I know Holden is interested in this.
On Thursday, October 22, 2015, YiZhi Liu wrote:
> Would someone mind giving some hint?
>
> 2015-10-20 15:34 GMT+08:00 YiZhi Liu >:
> > Hi all,
> >
> > I noticed that in
those code to share more.)
Sincerely,
DB Tsai
--
Blog: https://www.dbtsai.com
PGP Key ID: 0xAF08DF8D
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On Mon, Oct 12, 2015 at 1:24 AM, YiZhi Liu <javeli...@gmail.com>
Is your HDP implementation based on distributed gibbs sampling? Thanks.
Sincerely,
DB Tsai
---
Blog: https://www.dbtsai.com
On Wed, Jun 3, 2015 at 8:13 PM, Yang, Yuhao yuhao.y...@intel.com wrote:
Hi Lorenz,
I’m trying to build
I thought LGPL is okay but GPL is not okay for Apache project.
On Saturday, May 23, 2015, Patrick Wendell pwend...@gmail.com wrote:
Yes - spark packages can include non ASF licenses.
On Sat, May 23, 2015 at 6:16 PM, Debasish Das debasish.da...@gmail.com
javascript:; wrote:
Hi,
Is it
Hi Theodore,
I'm currently working on elastic-net regression in ML framework, and I
decided not to have any extra layer of abstraction for now but focus
on accuracy and performance. We may come out with proper solution
later. Any idea is welcome.
Sincerely,
DB Tsai
.
Sincerely,
DB Tsai
---
Blog: https://www.dbtsai.com
On Tue, Apr 7, 2015 at 3:03 PM, Ulanov, Alexander
alexander.ula...@hp.com wrote:
Hi,
Could anyone elaborate on the regularization in Spark? I've found that L1 and
L2 are implemented
to avoid the second cache. In this case,
the code will be more complicated, so I will split the code into two
paths. Will be done in another PR.
Sincerely,
DB Tsai
---
Blog: https://www.dbtsai.com
On Wed, Mar 25, 2015 at 11:57 AM, Joseph Bradley
It's a bug in breeze's side. Once David fixes it and publishes it to
maven, we can upgrade to breeze 0.11.2. Please file a jira ticket for
this issue. thanks.
Sincerely,
DB Tsai
---
Blog: https://www.dbtsai.com
On Sun, Mar 15, 2015 at 12:45
Hi Robin,
You can try this PR out. This has built-in features scaling, and has
ElasticNet regularization (L1/L2 mix). This implementation can stably
converge to model from R's glmnet package.
https://github.com/apache/spark/pull/4259
Sincerely,
DB Tsai
are small.
By default, depth 2 is used, so if you have so many partitions of
large vector, this may still cause issue. You can increase the depth
into higher numbers such that in the final reduce in driver, the
number of partitions are very small.
Sincerely,
DB Tsai
I'm working on LinearRegressionWithElasticNet using OWLQN now. This
will do the data standardization internally so it's transparent to
users. With OWLQN, you don't have to manually choose stepSize. Will
send out PR soon next week.
Sincerely,
DB Tsai
Hi Xiangrui,
It seems that it's stateless so will be hard to implement
regularization path. Any suggestion to extend it? Thanks.
Sincerely,
DB Tsai
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My Blog: https://www.dbtsai.com
LinkedIn: https://www.linkedin.com/in/dbtsai
Okay, I got it. In Estimator, fit(dataset: SchemaRDD, paramMaps:
Array[ParamMap]): Seq[M] can be overwritten to implement
regularization path. Correct me if I'm wrong.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https
As Marcelo said, CDH5.3 is based on hadoop 2.3, so please try
./make-distribution.sh -Pyarn -Phive -Phadoop-2.3
-Dhadoop.version=2.3.0-cdh5.1.3 -DskipTests
See the detail of how to change the profile at
https://spark.apache.org/docs/latest/building-with-maven.html
Sincerely,
DB Tsai
oh, I meant to say cdh5.1.3 used by Jakub's company is based on 2.3. You
can see it from the first part of the Cloudera's version number - 2.3.0-cdh
5.1.3.
Sincerely,
DB Tsai
---
My Blog: https://www.dbtsai.com
LinkedIn: https
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