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tanxinz commented on SPARK-18584:
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Two STS ran diffent Queue on yarn
etl Spark Thrift Ser
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Reynold Xin resolved SPARK-18583.
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Resolution: Fixed
Assignee: Takuya Ueshin
Fix Version/s: 2.1.0
> Fix nullability
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tanxinz commented on SPARK-18584:
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Different users have different authorizations to acces
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Takeshi Yamamuro commented on SPARK-18502:
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Please give us a simple query to rep
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Apache Spark commented on SPARK-17251:
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User 'dongjoon-hyun' has created a pull requ
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Takeshi Yamamuro commented on SPARK-18591:
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If it's worth trying this, I'll do.
Takeshi Yamamuro created SPARK-18591:
Summary: Replace hash-based aggregates with sort-based ones if
inputs already sorted
Key: SPARK-18591
URL: https://issues.apache.org/jira/browse/SPARK-18591
P
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Jeff Zhang edited comment on SPARK-18405 at 11/26/16 1:01 AM:
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Jeff Zhang commented on SPARK-18405:
I think he mean to launch multiple spark thrift
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Apache Spark reassigned SPARK-18590:
Assignee: Felix Cheung (was: Apache Spark)
> R - Include package vignettes and help pages
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Apache Spark commented on SPARK-18590:
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User 'felixcheung' has created a pull reques
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Apache Spark reassigned SPARK-18590:
Assignee: Apache Spark (was: Felix Cheung)
> R - Include package vignettes and help pages
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Felix Cheung updated SPARK-18590:
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Description:
We should include in Spark distribution the built source package for SparkR.
This w
Felix Cheung created SPARK-18590:
Summary: R - Include package vignettes and help pages, build
source package in Spark distribution
Key: SPARK-18590
URL: https://issues.apache.org/jira/browse/SPARK-18590
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Nicholas Chammas commented on SPARK-18589:
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cc [~davies] [~hvanhovell]
> persis
Nicholas Chammas created SPARK-18589:
Summary: persist() resolves "java.lang.RuntimeException: Invalid
PythonUDF (...), requires attributes from more than one child"
Key: SPARK-18589
URL: https://issues.apache
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Herman van Hovell resolved SPARK-18436.
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Resolution: Fixed
Assignee: Jiang Xingbo
Fix Version/s: 2.1.0
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Thomas Sebastian commented on SPARK-18527:
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I am interested to work on this.
>
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Thomas Sebastian commented on SPARK-18543:
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I would like to take a look at this
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Herman van Hovell commented on SPARK-18220:
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I tried reproducing this but to no
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Reynold Xin commented on SPARK-18487:
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As discussed on the pull request, this is not
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Reynold Xin closed SPARK-18487.
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Resolution: Not A Problem
> Add task completion listener to HashAggregate to avoid memory leak
>
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Apache Spark commented on SPARK-3359:
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User 'HyukjinKwon' has created a pull request f
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Burak Yavuz commented on SPARK-18407:
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This is also resolved as part of
https://issu
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Herman van Hovell edited comment on SPARK-17788 at 11/25/16 5:09 PM:
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Herman van Hovell commented on SPARK-17788:
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That is fair. The solution is not
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Herman van Hovell edited comment on SPARK-17788 at 11/25/16 4:56 PM:
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Herman van Hovell edited comment on SPARK-17788 at 11/25/16 4:10 PM:
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holdenk reopened SPARK-17788:
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This is somewhat distinct from the join case, but certainly related.
> RangePartitioner results in few very
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holdenk commented on SPARK-17788:
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I don't think this is a duplicate - its related but a
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Herman van Hovell updated SPARK-18220:
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Description:
Error message is below.
{noformat}
===
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Herman van Hovell commented on SPARK-17788:
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I am closing this one as a duplica
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Herman van Hovell closed SPARK-17788.
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Resolution: Duplicate
> RangePartitioner results in few very large tasks and many small t
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Herman van Hovell commented on SPARK-17788:
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Spark makes a sketch of your data
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Hao Ren commented on SPARK-18581:
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Thank you for the clarification. I totally missed that
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Sean Owen commented on SPARK-18581:
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The PDF largest at the mean, and it can be > 1 if
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holdenk closed SPARK-6522.
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Resolution: Fixed
Fix Version/s: 1.1.0
> Standardize Random Number Generation
> -
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holdenk commented on SPARK-6522:
We have a standardized RDD generator in MLlib (see the Ra
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holdenk commented on SPARK-5997:
That could work, although we'd probably want a different
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holdenk resolved SPARK-3348.
Resolution: Duplicate
> Support user-defined SparkListeners properly
> -
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holdenk commented on SPARK-5190:
This seems to be fixed, but we forgot to close (cc [~josh
Herman van Hovell created SPARK-18588:
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Summary: KafkaSourceStressForDontFailOnDataLossSuite is flaky
Key: SPARK-18588
URL: https://issues.apache.org/jira/browse/SPARK-18588
Project: Spark
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Herman van Hovell commented on SPARK-18588:
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cc [~zsxwing]
> KafkaSourceStress
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holdenk commented on SPARK-636:
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If you have a logging system you want to initialize wouldn't
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holdenk commented on SPARK-17788:
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This is semi-expected behaviour of the range partition
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holdenk updated SPARK-17788:
Target Version/s: (was: 2.1.0)
> RangePartitioner results in few very large tasks and many small to empty
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:14 PM:
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Aft
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:09 PM:
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Aft
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Saisai Shao commented on SPARK-18554:
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Nothing blocked actually, just no one reviewed
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:08 PM:
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Aft
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:07 PM:
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Aft
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:06 PM:
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Aft
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holdenk updated SPARK-18108:
Component/s: (was: Spark Core)
SQL
> Partition discovery fails with explicitly written
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:05 PM:
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Aft
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Hao Ren edited comment on SPARK-18581 at 11/25/16 2:04 PM:
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Aft
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Hao Ren commented on SPARK-18581:
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After reading the code comments, I find it takes into
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we st
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holdenk commented on SPARK-18128:
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Thanks! :) I'll start working on this issue once we st
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holdenk commented on SPARK-18405:
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Even in cluster mode you could overwhelm the node runn
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holdenk updated SPARK-18502:
Component/s: (was: Spark Core)
SQL
> Spark does not handle columns that contain backqu
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holdenk updated SPARK-18532:
Component/s: (was: Spark Core)
SQL
> Code generation memory issue
> --
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holdenk commented on SPARK-18541:
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Making it easier for PySpark SQL users to specify meta
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Herman van Hovell updated SPARK-18538:
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Priority: Blocker (was: Critical)
> Concurrent Fetching DataFrameReader JDBC APIs Do N
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Sean Owen updated SPARK-18356:
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Assignee: zakaria hili
> Issue + Resolution: Kmeans Spark Performances (ML package)
> -
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Sean Owen resolved SPARK-18356.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 15965
[https://github.co
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Dmitry Dzhus resolved SPARK-18565.
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Resolution: Invalid
> subtractByKey modifes values in the source RDD
>
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Dmitry Dzhus commented on SPARK-18565:
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The problem was that I assumed that caching
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Genmao Yu commented on SPARK-18512:
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[~giuseppe.bonaccorso] How can i reproduce this fa
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Apache Spark commented on SPARK-17251:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-17251:
Assignee: Apache Spark
> "ClassCastException: OuterReference cannot be cast to NamedExpres
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Apache Spark reassigned SPARK-17251:
Assignee: (was: Apache Spark)
> "ClassCastException: OuterReference cannot be cast to
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Sean Owen updated SPARK-18584:
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Target Version/s: (was: 2.0.2)
Fix Version/s: (was: 2.0.2)
> multiple Spark Thrift Servers
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Sean Owen updated SPARK-3359:
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Assignee: Hyukjin Kwon
> `sbt/sbt unidoc` doesn't work with Java 8
> -
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zhengruifeng commented on SPARK-16151:
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I suggest that we can add a option to make g
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zhengruifeng commented on SPARK-16151:
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Some param shoud be made non-final : such as
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Sean Owen commented on SPARK-18581:
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Yes, but it need not be invertible, for the reason
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Hao Ren commented on SPARK-18581:
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[~srowen]
I have updated the description. The problem
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Hao Ren updated SPARK-18581:
Description:
When training GaussianMixtureModel, I found some probability much larger than
1. That leads m
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Yanbo Liang commented on SPARK-18318:
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Finished reviewing for all classes which were
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Yanbo Liang reassigned SPARK-18587:
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Assignee: Yanbo Liang
> Remove handleInvalid from QuantileDiscretizer
>
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Yanbo Liang updated SPARK-18481:
Description:
Remove deprecated methods for ML.
We removed the following public APIs in this JIRA:
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Yanbo Liang updated SPARK-18481:
Description:
Remove deprecated methods for ML.
We removed the following public APIs:
org.apache.sp
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Yanbo Liang updated SPARK-18481:
Priority: Major (was: Minor)
> ML 2.1 QA: Remove deprecated methods for ML
>
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Yanbo Liang updated SPARK-18481:
Priority: Minor (was: Major)
> ML 2.1 QA: Remove deprecated methods for ML
>
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Yanbo Liang updated SPARK-18481:
Description:
Remove deprecated methods for ML.
We removed
was:Remove deprecated methods for ML
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https://issues.apache.org/jira/browse/SPARK-18548?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18548.
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Resolution: Duplicate
> OnlineLDAOptimizer reads the same broadcast data after deletion
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https://issues.apache.org/jira/browse/SPARK-18586?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-18586:
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Priority: Major (was: Critical)
Spark doesn't use netty 3, but it is pulled in as a transitive depende
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https://issues.apache.org/jira/browse/SPARK-18119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-18119:
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Assignee: Nicolas Fraison
> Namenode safemode check is only performed on one namenode which can stuck t
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https://issues.apache.org/jira/browse/SPARK-18119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18119.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 15648
[https://github.co
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https://issues.apache.org/jira/browse/SPARK-18324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yanbo Liang reassigned SPARK-18324:
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Assignee: Yanbo Liang
> ML, Graph 2.1 QA: Programming guide update and migration guide
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https://issues.apache.org/jira/browse/SPARK-18554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18554.
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Resolution: Duplicate
[~jerryshao] is anything blocking you from proceeding on that PR?
> leader mas
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https://issues.apache.org/jira/browse/SPARK-18581?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695359#comment-15695359
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Sean Owen commented on SPARK-18581:
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It sounds like there's definitely a problem here b
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https://issues.apache.org/jira/browse/SPARK-18575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-18575:
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Assignee: Genmao Yu
Target Version/s: (was: 2.0.3, 2.1.0)
Priority: Trivial (
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https://issues.apache.org/jira/browse/SPARK-18575?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-18575.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 16001
[https://github.co
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https://issues.apache.org/jira/browse/SPARK-18581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Ren updated SPARK-18581:
Description:
When training GaussianMixtureModel, I found some probability much larger than
1. That leads m
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https://issues.apache.org/jira/browse/SPARK-18581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Ren updated SPARK-18581:
Description:
When training GaussianMixtureModel, I found some probability much larger than
1. That leads m
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https://issues.apache.org/jira/browse/SPARK-18581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Ren updated SPARK-18581:
Description:
When training GaussianMixtureModel, I found some probability much larger than
1. That leads m
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https://issues.apache.org/jira/browse/SPARK-18581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hao Ren updated SPARK-18581:
Summary: MultivariateGaussian does not check if covariance matrix is
invertible (was: MultivariateGaussian
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https://issues.apache.org/jira/browse/SPARK-18587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-18587:
Assignee: Apache Spark
> Remove handleInvalid from QuantileDiscretizer
> -
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https://issues.apache.org/jira/browse/SPARK-18587?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15695291#comment-15695291
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Apache Spark commented on SPARK-18587:
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