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Xiangrui Meng updated SPARK-20771:
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Description:
The weekofyear() implementation follows HIVE / ISO 8601 week number. However it
i
Xiangrui Meng created SPARK-20771:
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Summary: Usability issues with weekofyear()
Key: SPARK-20771
URL: https://issues.apache.org/jira/browse/SPARK-20771
Project: Spark
Issue Type: Improvement
Xiangrui Meng created SPARK-20129:
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Summary: JavaSparkContext should use SparkContext.getOrCreate
Key: SPARK-20129
URL: https://issues.apache.org/jira/browse/SPARK-20129
Project: Spark
Issue
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Xiangrui Meng reassigned SPARK-20129:
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Assignee: Xiangrui Meng
> JavaSparkContext should use SparkContext.getOrCreate
> ---
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Xiangrui Meng reassigned SPARK-20088:
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Assignee: Hossein Falaki
> Do not create new SparkContext in SparkR createSparkContext
>
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Xiangrui Meng resolved SPARK-20088.
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Resolution: Fixed
Fix Version/s: 2.2.0
Issue resolved by pull request 17423
[https://g
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Xiangrui Meng commented on SPARK-5226:
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I closed this ticket as "Won't Do" due to DBS
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Xiangrui Meng closed SPARK-5226.
Resolution: Won't Fix
> Add DBSCAN Clustering Algorithm to MLlib
> -
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Xiangrui Meng commented on SPARK-18924:
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I'm going to work on this one. So removed
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Xiangrui Meng updated SPARK-18924:
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Shepherd: (was: Xiangrui Meng)
> Improve collect/createDataFrame performance in SparkR
>
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Xiangrui Meng reassigned SPARK-18924:
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Assignee: Xiangrui Meng
> Improve collect/createDataFrame performance in SparkR
> --
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Xiangrui Meng updated SPARK-18924:
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Description:
SparkR has its own SerDe for data serialization between JVM and R.
The SerDe on t
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Xiangrui Meng commented on SPARK-18924:
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cc: [~shivaram] [~felixcheung] [~falaki] [
Xiangrui Meng created SPARK-18924:
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Summary: Improve collect/createDataFrame performance in SparkR
Key: SPARK-18924
URL: https://issues.apache.org/jira/browse/SPARK-18924
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-18849?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-18849:
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Description:
Make a final pass over the vignettes and ensure the content is consistent.
* remo
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Xiangrui Meng updated SPARK-18849:
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Description:
Make a final pass over the vignettes and ensure the content is consistent.
* remo
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Xiangrui Meng updated SPARK-18849:
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Assignee: Felix Cheung
> Vignettes final checks for Spark 2.1
> ---
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Xiangrui Meng resolved SPARK-18793.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
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Xiangrui Meng resolved SPARK-18794.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
Xiangrui Meng created SPARK-18849:
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Summary: Vignettes final checks for Spark 2.1
Key: SPARK-18849
URL: https://issues.apache.org/jira/browse/SPARK-18849
Project: Spark
Issue Type: Documentat
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Xiangrui Meng updated SPARK-18795:
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Assignee: Miao Wang (was: Xiangrui Meng)
> SparkR vignette update: ksTest
> --
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Xiangrui Meng reassigned SPARK-18793:
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Assignee: Xiangrui Meng
> SparkR vignette update: random forest
> --
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Xiangrui Meng commented on SPARK-18795:
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[~wangmiao1981] Any updates?
> SparkR vig
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Xiangrui Meng reassigned SPARK-18794:
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Assignee: Xiangrui Meng
> SparkR vignette update: gbt
> ---
>
>
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Xiangrui Meng reassigned SPARK-18795:
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Assignee: Xiangrui Meng
> SparkR vignette update: ksTest
> -
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Xiangrui Meng resolved SPARK-18797.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
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Xiangrui Meng resolved SPARK-18812.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
Xiangrui Meng created SPARK-18812:
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Summary: Clarify "Spark ML"
Key: SPARK-18812
URL: https://issues.apache.org/jira/browse/SPARK-18812
Project: Spark
Issue Type: Documentation
Comp
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Xiangrui Meng updated SPARK-17822:
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Fix Version/s: 2.0.3
> JVMObjectTracker.objMap may leak JVM objects
> -
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Xiangrui Meng resolved SPARK-17822.
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Resolution: Fixed
Fix Version/s: 2.2.0
2.1.1
Issue resolved by pull
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Xiangrui Meng commented on SPARK-17647:
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[~r...@databricks.com] [~yhuai] I think th
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Xiangrui Meng resolved SPARK-18792.
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Resolution: Duplicate
> SparkR vignette update: logit
> -
>
>
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Xiangrui Meng commented on SPARK-18792:
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[~wangmiao1981] Please check existing sub-
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Xiangrui Meng reassigned SPARK-18792:
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Assignee: Xiangrui Meng
> SparkR vignette update: logit
> -
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Xiangrui Meng resolved SPARK-17823.
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Resolution: Duplicate
This is contained by SPARK-17822.
> Make JVMObjectTracker.objMap threa
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Xiangrui Meng commented on SPARK-18762:
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Thanks! Please make sure spark history ser
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Xiangrui Meng updated SPARK-18762:
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Description:
When SSL is enabled, the Spark shell shows:
{code}
Spark context Web UI available
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Xiangrui Meng edited comment on SPARK-18762 at 12/7/16 6:56 AM:
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Xiangrui Meng commented on SPARK-18762:
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cc [~hayashidac] [~sarutak]
> Web UI shou
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Xiangrui Meng updated SPARK-18762:
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Description:
When SSL is enabled, the Spark shell shows:
{code}
Spark context Web UI available
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Xiangrui Meng updated SPARK-18762:
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Priority: Blocker (was: Critical)
> Web UI should be http:4040 instead of https:4040
> ---
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Xiangrui Meng updated SPARK-18762:
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Priority: Critical (was: Major)
> Web UI should be http:4040 instead of https:4040
> -
Xiangrui Meng created SPARK-18762:
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Summary: Web UI should be http:4040 instead of https:4040
Key: SPARK-18762
URL: https://issues.apache.org/jira/browse/SPARK-18762
Project: Spark
Issue Type
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Xiangrui Meng commented on SPARK-17822:
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The issue comes with multiple RBackend con
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Xiangrui Meng reassigned SPARK-17822:
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Assignee: Xiangrui Meng
> JVMObjectTracker.objMap may leak JVM objects
> ---
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Xiangrui Meng commented on SPARK-17822:
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I will take a look.
> JVMObjectTracker.ob
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Xiangrui Meng commented on SPARK-18374:
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See the discussion here: https://github.co
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Xiangrui Meng updated SPARK-18317:
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Attachment: spark-graphx_2.11-2.0.2_to_2.11-2.1.0-SNAPSHOT.html
spark-mllib-loca
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Xiangrui Meng resolved SPARK-18317.
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Resolution: Done
> ML, Graph 2.1 QA: API: Binary incompatible changes
> -
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Xiangrui Meng reassigned SPARK-18317:
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Assignee: Xiangrui Meng
> ML, Graph 2.1 QA: API: Binary incompatible changes
> -
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Xiangrui Meng commented on SPARK-18390:
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This is a bug because the user didn't ask
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Xiangrui Meng resolved SPARK-18390.
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Resolution: Duplicate
> Optimized plan tried to use Cartesian join when it is not enabled
> -
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Xiangrui Meng updated SPARK-18390:
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Description:
I hit this error when I tried to test skewed joins.
{code}
val df2 = spark.range(
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Xiangrui Meng updated SPARK-18390:
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Description:
I hit this error when I tried to test skewed joins.
{code}
val df2 = spark.range(
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Xiangrui Meng commented on SPARK-18390:
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cc: [~yhuai] [~lian cheng]
> Optimized pl
Xiangrui Meng created SPARK-18390:
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Summary: Optimized plan tried to use Cartesian join when it is not
enabled
Key: SPARK-18390
URL: https://issues.apache.org/jira/browse/SPARK-18390
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14241?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14241.
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Resolution: Fixed
> Output of monotonically_increasing_id lacks stable relation with rows of
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Xiangrui Meng edited comment on SPARK-14241 at 11/2/16 7:05 PM:
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Xiangrui Meng updated SPARK-14241:
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Fix Version/s: 2.0.0
> Output of monotonically_increasing_id lacks stable relation with rows of
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Xiangrui Meng commented on SPARK-14241:
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This bug should be fixed in 2.0 already si
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Xiangrui Meng reassigned SPARK-14393:
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Assignee: Xiangrui Meng
> monotonicallyIncreasingId not monotonically increasing with do
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Xiangrui Meng updated SPARK-14393:
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Labels: correctness (was: )
> monotonicallyIncreasingId not monotonically increasing with down
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Xiangrui Meng edited comment on SPARK-14393 at 10/18/16 7:43 AM:
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Xiangrui Meng commented on SPARK-14393:
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This is a bigger issue. It would happen wi
Xiangrui Meng created SPARK-17716:
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Summary: Hidden Markov Model (HMM)
Key: SPARK-17716
URL: https://issues.apache.org/jira/browse/SPARK-17716
Project: Spark
Issue Type: New Feature
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Xiangrui Meng edited comment on SPARK-17647 at 9/26/16 5:07 PM:
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Xiangrui Meng commented on SPARK-17647:
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Thanks [~joshrosen]! I updated the JIRA de
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Xiangrui Meng edited comment on SPARK-17647 at 9/26/16 5:06 PM:
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Xiangrui Meng updated SPARK-17647:
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Summary: SQL LIKE do not handle backslashes correctly (was: SQL LIKE/RLIKE
do not handle backs
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
{code}
It retu
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Xiangrui Meng updated SPARK-17647:
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Summary: SQL LIKE does not handle backslashes correctly (was: SQL LIKE do
not handle backslash
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
{code}
It retu
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Xiangrui Meng updated SPARK-17647:
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Labels: correctness (was: )
> SQL LIKE/RLIKE do not handle backslashes correctly
> ---
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
select '' r
Xiangrui Meng created SPARK-17647:
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Summary: SQL LIKE/RLIKE do not handle backslashes correctly
Key: SPARK-17647
URL: https://issues.apache.org/jira/browse/SPARK-17647
Project: Spark
Issue Ty
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Xiangrui Meng updated SPARK-17647:
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Description:
Try the following in SQL shell:
{code}
select '' like '%\\%';
select '' r
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Xiangrui Meng updated SPARK-17641:
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Description:
`collect_set` throws the following exception when there are null values. It
shoul
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Xiangrui Meng updated SPARK-17641:
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Description:
`collect_set` throws the following exception when there are null values. It
shoul
Xiangrui Meng created SPARK-17641:
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Summary: collect_set should ignore null values
Key: SPARK-17641
URL: https://issues.apache.org/jira/browse/SPARK-17641
Project: Spark
Issue Type: Bug
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Xiangrui Meng edited comment on SPARK-16578 at 8/22/16 12:47 AM:
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Xiangrui Meng edited comment on SPARK-16578 at 8/22/16 12:46 AM:
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Xiangrui Meng commented on SPARK-16578:
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[~shivaram] I had an offline discussion wi
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Xiangrui Meng updated SPARK-16578:
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Assignee: Junyang Qian
> Configurable hostname for RBackend
> -
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Xiangrui Meng resolved SPARK-16443.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14384
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Xiangrui Meng resolved SPARK-16446.
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Resolution: Fixed
Fix Version/s: 2.1.0
> Gaussian Mixture Model wrapper in SparkR
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https://issues.apache.org/jira/browse/SPARK-16445?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15394642#comment-15394642
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Xiangrui Meng commented on SPARK-16445:
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[~iamshrek] Any updates?
> Multilayer Per
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Xiangrui Meng commented on SPARK-16446:
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[~yanboliang] Any updates?
> Gaussian Mix
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Xiangrui Meng updated SPARK-16444:
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Shepherd: Junyang Qian
> Isotonic Regression wrapper in SparkR
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https://issues.apache.org/jira/browse/SPARK-16579?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-16579:
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Assignee: Junyang Qian
> Add a spark install function
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https://issues.apache.org/jira/browse/SPARK-16538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-16538:
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Fix Version/s: 1.6.3
> Cannot use "SparkR::sql"
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Xiangrui Meng updated SPARK-16447:
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Assignee: Xusen Yin
> LDA wrapper in SparkR
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> Key: SP
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Xiangrui Meng commented on SPARK-16447:
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Assigned. Thanks!
> LDA wrapper in SparkR
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Xiangrui Meng commented on SPARK-16445:
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The target version is 2.1.0. So no strict
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Xiangrui Meng updated SPARK-16445:
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Assignee: Xin Ren
> Multilayer Perceptron Classifier wrapper in SparkR
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Xiangrui Meng updated SPARK-16444:
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Assignee: Miao Wang
> Isotonic Regression wrapper in SparkR
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https://issues.apache.org/jira/browse/SPARK-15767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15368547#comment-15368547
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Xiangrui Meng commented on SPARK-15767:
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This was discussed in SPARK-14831. We shou
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Xiangrui Meng commented on SPARK-16446:
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[~yanboliang] Do you have time to work on
Xiangrui Meng created SPARK-16446:
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Summary: Gaussian Mixture Model wrapper in SparkR
Key: SPARK-16446
URL: https://issues.apache.org/jira/browse/SPARK-16446
Project: Spark
Issue Type: Sub-ta
Xiangrui Meng created SPARK-16447:
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Summary: LDA wrapper in SparkR
Key: SPARK-16447
URL: https://issues.apache.org/jira/browse/SPARK-16447
Project: Spark
Issue Type: Sub-task
Repo
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Xiangrui Meng updated SPARK-15767:
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Issue Type: Sub-task (was: New Feature)
Parent: SPARK-16442
> Decision Tree Regression
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