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Florian Verhein commented on SPARK-5629:
Agree.
My point was more about avoiding
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Zhan Zhang commented on SPARK-1537:
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[~vanzin] We should centralized all comments and r
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Kay Ousterhout commented on SPARK-5928:
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One more question: are you sure this is a p
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Marcelo Vanzin commented on SPARK-1537:
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Hi [~zhzhan],
bq. But It is hard to commen
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Kay Ousterhout commented on SPARK-5928:
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Is it possible this is caused because the s
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Zhan Zhang commented on SPARK-1537:
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[~sowen] In JIRA, we share the code so that other p
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Apache Spark commented on SPARK-5937:
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User 'harishreedharan' has created a pull reque
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Xiangrui Meng updated SPARK-2336:
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Target Version/s: 1.4.0
> Approximate k-NN Models for MLLib
> -
>
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Xiangrui Meng updated SPARK-2335:
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Target Version/s: 1.4.0
> k-Nearest Neighbor classification and regression for MLLib
> ---
Hari Shreedharan created SPARK-5937:
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Summary: [YARN] ClientSuite must set YARN mode to true to ensure
correct SparkHadoopUtil implementation is used.
Key: SPARK-5937
URL: https://issues.apache.org/jira/browse/S
Yin Huai created SPARK-5936:
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Summary: Automatically convert a StructType to a MapType when the
number of fields exceed a threshold.
Key: SPARK-5936
URL: https://issues.apache.org/jira/browse/SPARK-5936
Pro
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Apache Spark commented on SPARK-5935:
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User 'yhuai' has created a pull request for thi
Yin Huai created SPARK-5935:
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Summary: Accept MapType in the schema provided to a JSON dataset.
Key: SPARK-5935
URL: https://issues.apache.org/jira/browse/SPARK-5935
Project: Spark
Issue Type: Sub-
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Xiangrui Meng updated SPARK-2138:
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Target Version/s: 1.4.0
> The KMeans algorithm in the MLlib can lead to the Serialized Task size b
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Xiangrui Meng closed SPARK-1892.
Resolution: Duplicate
> Add an OWL-QN optimizer for L1 regularized optimizations.
>
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Xiangrui Meng updated SPARK-1856:
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Issue Type: Umbrella (was: New Feature)
> Standardize MLlib interfaces
>
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Xiangrui Meng closed SPARK-1794.
Resolution: Duplicate
> Generic ADMM implementation for SVM, lasso, and L1-regularized logistic
> r
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Xiangrui Meng closed SPARK-1673.
Resolution: Duplicate
> GLMNET implementation in Spark
> --
>
>
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Xiangrui Meng updated SPARK-1655:
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Target Version/s: 1.4.0
> In naive Bayes, store conditional probabilities distributively.
> --
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Xiangrui Meng closed SPARK-1418.
Resolution: Implemented
Fix Version/s: 1.2.0
> Python MLlib's _get_unmangled_rdd should uncac
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Xiangrui Meng updated SPARK-1359:
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Target Version/s: 1.4.0
> SGD implementation is not efficient
> --
Nick Pritchard created SPARK-5934:
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Summary: DStreamGraph.clearMetadata attempts to unpersist the same
RDD multiple times
Key: SPARK-5934
URL: https://issues.apache.org/jira/browse/SPARK-5934
Project:
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Xiangrui Meng closed SPARK-1014.
Resolution: Duplicate
We support multinomial logistic regression with LBFGS in 1.3. I marked this
J
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Xiangrui Meng updated SPARK-5888:
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Summary: Add OneHotEncoder as a Transformer (was: Add OneHotEncoder)
> Add OneHotEncoder as a Tra
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Xiangrui Meng updated SPARK-1473:
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Issue Type: Umbrella (was: New Feature)
> Feature selection for high dimensional datasets
> -
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Apache Spark commented on SPARK-5912:
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User 'avulanov' has created a pull request for
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Nicholas Chammas commented on SPARK-5629:
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[~florianverhein] - Hmm... Thinking abo
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Michael Armbrust resolved SPARK-5896.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 4679
[https:/
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Michael Armbrust resolved SPARK-5898.
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Resolution: Fixed
Fix Version/s: 1.3.0
Issue resolved by pull request 4679
[https:/
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Sean Owen commented on SPARK-1537:
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[~zzhan] You have provided a patch as a PR right? any
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Zhan Zhang updated SPARK-1537:
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Comment: was deleted
(was: [~sowen] By the way, I am not waiting for someone to give me the patch.
It i
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Xiangrui Meng updated SPARK-4081:
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Target Version/s: 1.4.0 (was: 1.2.0)
> Categorical feature indexing
> ---
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Xiangrui Meng updated SPARK-3249:
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Target Version/s: (was: 1.2.0)
> Fix links in ScalaDoc that cause warning messages in `sbt/sbt u
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Xiangrui Meng commented on SPARK-5516:
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[~wuyukai] Could you provide all the paramete
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Imran Rashid commented on SPARK-5928:
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Actually, there *is* some weirdness in how spar
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Xiangrui Meng updated SPARK-5516:
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Fix Version/s: (was: 1.2.2)
> ActorSystemImpl: Uncaught fatal error from thread
> [sparkDrive
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Xiangrui Meng updated SPARK-5516:
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Target Version/s: 1.4.0 (was: 1.2.0)
> ActorSystemImpl: Uncaught fatal error from thread
> [spar
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Xiangrui Meng updated SPARK-4406:
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Target Version/s: 1.3.0 (was: 1.2.0)
> SVD should check for k < 1
> --
>
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Zhan Zhang commented on SPARK-1537:
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[~sowen] By the way, I am not waiting for someone t
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Zhan Zhang commented on SPARK-1537:
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[~sowen] From the whole context, I believe you unde
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Joseph K. Bradley commented on SPARK-5912:
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Great, thanks! I build and view them
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Sean Owen commented on SPARK-1537:
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[~zzhan] I also can't figure out what you are suggest
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Alexander Ulanov commented on SPARK-5912:
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I've almost written the ChiSquared sect
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Marcelo Vanzin commented on SPARK-1537:
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It's impossible to submit a patch when the
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Zhan Zhang commented on SPARK-1537:
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[~vanzin] I declare "integrate your code" from the
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Andrew Or updated SPARK-5933:
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Description: Deprecated configs are currently all strewn across the code
base. It would be good to simplif
Andrew Or created SPARK-5933:
Summary: Centralize deprecated configs in SparkConf
Key: SPARK-5933
URL: https://issues.apache.org/jira/browse/SPARK-5933
Project: Spark
Issue Type: Bug
Co
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Andrew Or updated SPARK-5932:
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Description:
This is SPARK-5931's sister issue.
The naming of existing byte configs is inconsistent. We c
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Andrew Or updated SPARK-5931:
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Description:
This is SPARK-5932's sister issue.
The naming of existing time configs is inconsistent. We c
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Andrew Or updated SPARK-5931:
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Description:
This is SPARK-5932's sister issue.
The naming of existing time configs is inconsistent. We c
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Andrew Or updated SPARK-5932:
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Description:
This is SPARK-5931's sister issue.
The naming of existing byte configs is inconsistent. We c
Andrew Or created SPARK-5932:
Summary: Use consistent naming for byte properties
Key: SPARK-5932
URL: https://issues.apache.org/jira/browse/SPARK-5932
Project: Spark
Issue Type: Bug
Com
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Andrew Or updated SPARK-5932:
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Description:
This is SPARK-5931's sister issue.
The naming of existing byte configs is inconsistent. We c
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Andrew Or updated SPARK-5931:
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Description:
This is SPARK-5932's sister issue.
The naming of existing time configs is inconsistent. We c
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Zhan Zhang commented on SPARK-1537:
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[~vanzin] If you don't have bandwidth, or don't kno
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Marcelo Vanzin commented on SPARK-1537:
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Hi [~zzhan],
I already posted the link to
Andrew Or created SPARK-5931:
Summary: Use consistent naming for time properties
Key: SPARK-5931
URL: https://issues.apache.org/jira/browse/SPARK-5931
Project: Spark
Issue Type: Bug
Com
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Zhan Zhang edited comment on SPARK-1537 at 2/20/15 10:14 PM:
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Zhan Zhang commented on SPARK-1537:
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[~vanzin] Thanks for the comments. I don't unders
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Daniel Fry commented on SPARK-3368:
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Hey fwiw I encountered this recently with spark 1.1
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Andrew Or updated SPARK-5930:
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Description:
The description makes it sound like the retryWait itself defaults to 15
seconds, when it's a
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Apache Spark commented on SPARK-4655:
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User 'ilganeli' has created a pull request for
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Andrew Or updated SPARK-5930:
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Affects Version/s: 1.2.0
> Documented default of spark.shuffle.io.retryWait is confusing
> ---
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Andrew Or updated SPARK-5930:
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Priority: Trivial (was: Minor)
> Documented default of spark.shuffle.io.retryWait is confusing
>
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Andrew Or updated SPARK-5930:
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Summary: Documented default of spark.shuffle.io.retryWait is confusing
(was: Documented default of spark.
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Andrew Or updated SPARK-5930:
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Priority: Minor (was: Major)
> Documented default of spark.shuffle.io.retryWait is not consistent
> -
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Andrew Or updated SPARK-5930:
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Description:
The description makes it sound like the retryWait itself defaults to 15
seconds, when it's a
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Andrew Or updated SPARK-5930:
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Summary: Documented default of spark.shuffle.io.retryWait is confusing.
(was: Documented default of spark
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Andrew Or updated SPARK-5930:
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Description:
5 != 15:
{code}
spark.shuffle.io.retryWait
5
(Netty only) Seconds to wait between
Andrew Or created SPARK-5930:
Summary: Documented default of spark.shuffle.io.retryWait is not
consistent
Key: SPARK-5930
URL: https://issues.apache.org/jira/browse/SPARK-5930
Project: Spark
Iss
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Sebastian YEPES FERNANDEZ commented on SPARK-5281:
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Also having this issu
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Sebastian YEPES FERNANDEZ edited comment on SPARK-5281 at 2/20/15 9:54 PM:
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Imran Rashid commented on SPARK-5928:
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sometimes this also results in exceptions like
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Imran Rashid commented on SPARK-1391:
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Here is a minimal program to demonstrate the pr
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Imran Rashid commented on SPARK-1391:
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[~coderplay], I assume you are no longer lookin
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Imran Rashid commented on SPARK-5928:
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Here are some thoughts on we *might* fix this.
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Andrew Or updated SPARK-4705:
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Summary: Driver retries in cluster mode always fail if event logging is
enabled (was: Driver retries in y
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Imran Rashid commented on SPARK-5928:
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(just edited the description -- I mistakenly th
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Imran Rashid updated SPARK-5928:
Description:
If a shuffle block is over 2GB, the shuffle fails, with an uninformative
exception. T
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Imran Rashid commented on SPARK-1476:
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I spent a little time with [~sandyr] on this to
Buck created SPARK-5929:
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Summary: Pyspark: Register a pip requirements file with
spark_context
Key: SPARK-5929
URL: https://issues.apache.org/jira/browse/SPARK-5929
Project: Spark
Issue Type: Improve
Imran Rashid created SPARK-5928:
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Summary: Remote Shuffle Blocks cannot be more than 2 GB
Key: SPARK-5928
URL: https://issues.apache.org/jira/browse/SPARK-5928
Project: Spark
Issue Type: Bug
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Marcelo Vanzin commented on SPARK-1537:
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Hi [~zzhan], thanks for uploading the docum
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Michael Armbrust commented on SPARK-5918:
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This was a conscious design decision si
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Andrew Or updated SPARK-5095:
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Assignee: Timothy Chen
> Support launching multiple mesos executors in coarse grained mesos mode
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Andrew Or updated SPARK-5095:
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Affects Version/s: 1.0.0
> Support launching multiple mesos executors in coarse grained mesos mode
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https://issues.apache.org/jira/browse/SPARK-5926?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14329329#comment-14329329
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Apache Spark commented on SPARK-5926:
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User 'yanboliang' has created a pull request fo
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:34 PM:
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https://issues.apache.org/jira/browse/SPARK-5927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14329306#comment-14329306
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Apache Spark commented on SPARK-5927:
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User 'viirya' has created a pull request for th
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https://issues.apache.org/jira/browse/SPARK-5925?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14329303#comment-14329303
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Laszlo Fesus commented on SPARK-5925:
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Yes, but I thought it would be quite useful if
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https://issues.apache.org/jira/browse/SPARK-5926?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14329269#comment-14329269
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:14 PM:
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Liang-Chi Hsieh created SPARK-5927:
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Summary: Modify FPGrowth's partition strategy to reduce
transactions in partitions
Key: SPARK-5927
URL: https://issues.apache.org/jira/browse/SPARK-5927
Project:
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https://issues.apache.org/jira/browse/SPARK-5832?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14329284#comment-14329284
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Liang-Chi Hsieh commented on SPARK-5832:
The time complexity O(nnz * K) is just fo
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:06 PM:
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:03 PM:
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:01 PM:
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 5:59 PM:
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Yanbo Liang edited comment on SPARK-5926 at 2/20/15 6:01 PM:
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Yanbo Liang commented on SPARK-5926:
This is because that in DataFrameImpl
{code:titl
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Xiangrui Meng updated SPARK-5832:
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Target Version/s: 1.4.0
> Add Affinity Propagation clustering algorithm
>
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