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Reynold Xin updated SPARK-14654:
Description:
The current accumulator API has a few problems:
1. Its type hierarchy is very complic
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Liwei Lin closed SPARK-14629.
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Resolution: Won't Fix
> Add support for custom scala style rules
> --
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Reynold Xin commented on SPARK-14654:
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cc [~holdenk] and [~imranr]
> New accumulator
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Liwei Lin commented on SPARK-14629:
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As is discussed in https://github.com/apache/spark
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Reynold Xin updated SPARK-14654:
Description:
The current accumulator API has a few problems:
1. Its type hierarchy is very complic
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Reynold Xin commented on SPARK-14654:
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Note that one challenge is that we most likel
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Reynold Xin updated SPARK-14654:
Assignee: (was: Reynold Xin)
> New accumulator API
> ---
>
> Ke
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Reynold Xin updated SPARK-14654:
Description:
The current accumulator API has a few problems:
1. Its type hierarchy is very complic
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https://issues.apache.org/jira/browse/SPARK-14654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-14654:
Description:
The current accumulator API has a few problems:
1. Its type hierarchy is very complic
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https://issues.apache.org/jira/browse/SPARK-14654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-14654:
Description:
The current accumulator API has a few problems:
1. Its type hierarchy is very complic
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https://issues.apache.org/jira/browse/SPARK-14654?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-14654:
Description:
This is a proposed new API -- that is substantially simpler than the existing
one, an
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Reynold Xin updated SPARK-14654:
Description:
This is a proposed new API -- that is substantially simpler than the existing
one, an
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Josh Rosen reassigned SPARK-14650:
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Assignee: Josh Rosen
> Compile Spark REPL for Scala 2.12
> -
>
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Reynold Xin updated SPARK-14654:
Description:
This is a proposed new API -- that is substantially simpler than the existing
one, an
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Josh Rosen commented on SPARK-14650:
Fortunately, this is going to be really easy.
I
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Reynold Xin updated SPARK-14654:
Description:
This is a proposed new API -- that is substantially simpler than the existing
one, an
Reynold Xin created SPARK-14654:
---
Summary: New accumulator API
Key: SPARK-14654
URL: https://issues.apache.org/jira/browse/SPARK-14654
Project: Spark
Issue Type: Sub-task
Components:
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hujiayin updated SPARK-14623:
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Description:
It relates to https://issues.apache.org/jira/browse/SPARK-7445
Map the labels to 0/1.
For
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Reynold Xin closed SPARK-14640.
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Resolution: Not A Problem
I'm closing this. PythonUserDefinedType is actually an internal class.
> @
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Takeshi Yamamuro commented on SPARK-13801:
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I got this cause; wrong nullability
Xiangrui Meng created SPARK-14653:
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Summary: Remove NumericParser and jackson dependency from
mllib-local
Key: SPARK-14653
URL: https://issues.apache.org/jira/browse/SPARK-14653
Project: Spark
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Xiangrui Meng resolved SPARK-14374.
---
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12383
[https://g
Wei Deng created SPARK-14652:
Summary: pyspark streaming driver unable to cleanup metadata for
cached RDDs leading to driver OOM
Key: SPARK-14652
URL: https://issues.apache.org/jira/browse/SPARK-14652
Pro
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Wenchen Fan resolved SPARK-14275.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12067
[https://githu
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Yin Huai updated SPARK-14447:
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Assignee: Sameer Agarwal
> Speed up TungstenAggregate w/ keys using AggregateHashMap
> --
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Yin Huai resolved SPARK-14447.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12345
[https://github.com/
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Liang-Chi Hsieh closed SPARK-14432.
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Resolution: Duplicate
> Add API to calculate the approximate quantiles for multiple columns
>
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Sital Kedia commented on SPARK-14649:
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[~kayousterhout] - Any idea how to handle this
Jacek Laskowski created SPARK-14651:
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Summary: CREATE TEMPORARY TABLE is not supported yet
Key: SPARK-14651
URL: https://issues.apache.org/jira/browse/SPARK-14651
Project: Spark
Issue Type:
Josh Rosen created SPARK-14650:
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Summary: Compile Spark REPL for Scala 2.12
Key: SPARK-14650
URL: https://issues.apache.org/jira/browse/SPARK-14650
Project: Spark
Issue Type: Sub-task
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Apache Spark commented on SPARK-14622:
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User 'yang0228' has created a pull request f
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Apache Spark reassigned SPARK-14622:
Assignee: (was: Apache Spark)
> Retain lost executors status
> ---
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Apache Spark reassigned SPARK-14622:
Assignee: Apache Spark
> Retain lost executors status
>
>
>
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Joseph K. Bradley updated SPARK-14104:
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Target Version/s: 2.0.0
> All Python param setters should use the `_set` method.
>
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Joseph K. Bradley updated SPARK-14104:
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Shepherd: Joseph K. Bradley
Assignee: Seth Hendrickson
> All Python param setters s
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Bo Meng commented on SPARK-14460:
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I have added the test case that is using "order" as co
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Qingyang Hong updated SPARK-14622:
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Target Version/s: 2.0.0 (was: 1.6.0)
Fix Version/s: (was: 1.6.0)
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Josh Rosen commented on SPARK-14540:
It looks like the Scala PR has largely fixed thi
Sital Kedia created SPARK-14649:
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Summary: DagScheduler runs duplicate tasks on fetch failure
Key: SPARK-14649
URL: https://issues.apache.org/jira/browse/SPARK-14649
Project: Spark
Issue Type:
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Sital Kedia updated SPARK-14649:
Description: When running a job we found out that there are many duplicate
tasks running after fetc
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Reynold Xin resolved SPARK-14601.
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Resolution: Fixed
Assignee: Mark Grover
Fix Version/s: 2.0.0
> Minor doc/usage ch
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Apache Spark commented on SPARK-14346:
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User 'xwu0226' has created a pull request fo
Nikhil created SPARK-14648:
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Summary: Spark EC2 script creates cluster but spark is not
installed properly.
Key: SPARK-14648
URL: https://issues.apache.org/jira/browse/SPARK-14648
Project: Spark
Is
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Seth Hendrickson commented on SPARK-14489:
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[~mlnick] I am skeptical that
[SPAR
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Xiao Li commented on SPARK-14609:
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BTW, in the implementation, we need to read the follow
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Apache Spark reassigned SPARK-14647:
Assignee: Andrew Or (was: Apache Spark)
> Group SQLContext/HiveContext state into Persist
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Apache Spark reassigned SPARK-14647:
Assignee: Apache Spark (was: Andrew Or)
> Group SQLContext/HiveContext state into Persist
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Apache Spark commented on SPARK-14647:
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User 'andrewor14' has created a pull request
Andrew Or created SPARK-14647:
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Summary: Group SQLContext/HiveContext state into PersistentState
Key: SPARK-14647
URL: https://issues.apache.org/jira/browse/SPARK-14647
Project: Spark
Issue Type:
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Xiao Li commented on SPARK-14609:
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https://issues.apache.org/jira/browse/SPARK-14603 is t
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Andrew Ash commented on SPARK-14460:
I also had a problem with a column named "order"
Xiangrui Meng created SPARK-14646:
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Summary: k-means save/load should put one cluster per row
Key: SPARK-14646
URL: https://issues.apache.org/jira/browse/SPARK-14646
Project: Spark
Issue Type
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https://issues.apache.org/jira/browse/SPARK-12869?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-12869.
---
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 10839
[https://g
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Xiangrui Meng resolved SPARK-14565.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12360
[https://g
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Josh Rosen updated SPARK-14280:
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Description:
The following instructions will be kept quasi-up-to-date and are the best
starting poin
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Apache Spark reassigned SPARK-14644:
Assignee: (was: Apache Spark)
> Binary param can be a shared param with rewording
> --
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Apache Spark reassigned SPARK-14644:
Assignee: Apache Spark
> Binary param can be a shared param with rewording
> -
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Apache Spark commented on SPARK-14644:
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User 'holdenk' has created a pull request fo
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Apache Spark reassigned SPARK-14645:
Assignee: (was: Apache Spark)
> non local Python resource doesn't work with Mesos clus
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Apache Spark reassigned SPARK-14645:
Assignee: Apache Spark
> non local Python resource doesn't work with Mesos cluster mode
>
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Apache Spark commented on SPARK-14645:
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User 'tnachen' has created a pull request fo
Timothy Chen created SPARK-14645:
Summary: non local Python resource doesn't work with Mesos cluster
mode
Key: SPARK-14645
URL: https://issues.apache.org/jira/browse/SPARK-14645
Project: Spark
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Josh Rosen commented on SPARK-14540:
There's now a Scala PR to fix this: https://gith
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Stephane Maarek updated SPARK-14583:
Summary: SparkSQL doesn't apply
TBLPROPERTIES('serialization.null.format'='') when Hive Tab
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Stephane Maarek updated SPARK-14583:
Summary: SparkSQL doesn't read
TBLPROPERTIES('serialization.null.format'='') when Hive Tabl
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Xusen Yin updated SPARK-14440:
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Description:
Since the
PipelineMLWriter/PipelineMLReader/PipelineModelMLWriter/PipelineModelMLReader
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Xusen Yin updated SPARK-14440:
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Description:
Since the
PipelineMLWriter/PipelineMLReader/PipelineModelMLWriter/PipelineModelMLReader
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Josh Rosen updated SPARK-14280:
---
Description:
The following instructions will be kept quasi-up-to-date and are the best
starting poin
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Xusen Yin updated SPARK-14440:
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Description:
Since the
PipelineMLWriter/PipelineMLReader/PipelineModelMLWriter/PipelineModelMLReader
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Josh Rosen updated SPARK-14280:
---
Description:
The following instructions will be kept quasi-up-to-date and are the best
starting poin
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Josh Rosen updated SPARK-14280:
---
Description:
The following instructions will be kept quasi-up-to-date and are the best
starting poin
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Josh Rosen updated SPARK-14280:
---
Description:
The following instructions will be kept quasi-up-to-date and are the best
starting poin
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Xusen Yin updated SPARK-14440:
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Description:
Remove
* PipelineMLWriter
* PipelineMLReader
* PipelineModelMLWriter
* PipelineModelMLRea
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Xusen Yin commented on SPARK-14440:
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Sorry for the late response, I'll update it soon.
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Andrew Or updated SPARK-14130:
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Assignee: Yin Huai (was: Andrew Or)
> [Table related commands] Alter column
>
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Stephane Maarek commented on SPARK-12741:
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Hi Sean,
What do you mean by the behav
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Josh Rosen commented on SPARK-14519:
I emailed the Kafka dev list:
https://mail-arch
holdenk created SPARK-14644:
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Summary: Binary param can be a shared param with rewording
Key: SPARK-14644
URL: https://issues.apache.org/jira/browse/SPARK-14644
Project: Spark
Issue Type: Improveme
Josh Rosen created SPARK-14643:
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Summary: Remove overloaded methods which become ambiguous in Scala
2.12
Key: SPARK-14643
URL: https://issues.apache.org/jira/browse/SPARK-14643
Project: Spark
I
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Josh Rosen reassigned SPARK-14643:
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Assignee: Josh Rosen
> Remove overloaded methods which become ambiguous in Scala 2.12
> --
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Miao Wang commented on SPARK-14434:
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Sent pull request to SPARK-14433. Start working on
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Apache Spark reassigned SPARK-14433:
Assignee: (was: Apache Spark)
> PySpark ml GaussianMixture
> -
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Apache Spark commented on SPARK-14433:
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User 'wangmiao1981' has created a pull reque
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Apache Spark reassigned SPARK-14433:
Assignee: Apache Spark
> PySpark ml GaussianMixture
> --
>
>
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Yin Huai updated SPARK-14642:
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Description:
The following code works
{code}
scala> import org.apache.spark.sql.functions._
import org.ap
Yin Huai created SPARK-14642:
Summary: import org.apache.spark.sql.expressions._ breaks udf
under functions
Key: SPARK-14642
URL: https://issues.apache.org/jira/browse/SPARK-14642
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-10179?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241933#comment-15241933
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DB Tsai commented on SPARK-10179:
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Since we're moving to ML api, we will not add new feat
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https://issues.apache.org/jira/browse/SPARK-10179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DB Tsai closed SPARK-10179.
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Resolution: Won't Fix
> LogisticRegressionWithSGD does not multiclass
>
Philipp Hanslovsky created SPARK-14641:
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Summary: Specify worker log dir separately from scratch space dir
Key: SPARK-14641
URL: https://issues.apache.org/jira/browse/SPARK-14641
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-14499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li closed SPARK-14499.
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Resolution: Resolved
> Add tests to make sure drop partitions of an external table will not delete
> data
>
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https://issues.apache.org/jira/browse/SPARK-7159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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DB Tsai updated SPARK-7159:
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Issue Type: New Feature (was: Improvement)
> Support multiclass logistic regression in spark.ml
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https://issues.apache.org/jira/browse/SPARK-14306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241899#comment-15241899
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Joseph K. Bradley commented on SPARK-14306:
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Right! Thanks
> PySpark ml.class
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https://issues.apache.org/jira/browse/SPARK-14638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241893#comment-15241893
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Younos Aboulnaga commented on SPARK-14638:
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But I have shown that the worker dir
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https://issues.apache.org/jira/browse/SPARK-14638?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241885#comment-15241885
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Sean Owen commented on SPARK-14638:
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The stack trace you show demonstrates it's an init
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https://issues.apache.org/jira/browse/SPARK-14374?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-14374:
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Shepherd: Joseph K. Bradley
Assignee: Yanbo Liang
> PySpark ml GBTClassifier, Regre
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https://issues.apache.org/jira/browse/SPARK-14616?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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JESSE CHEN closed SPARK-14616.
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Resolution: Not A Problem
> TreeNodeException running Q44 and 58 on Parquet tables
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https://issues.apache.org/jira/browse/SPARK-14545?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-14545.
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Resolution: Fixed
Assignee: Dongjoon Hyun
Fix Version/s: 2.0.0
> Improve `LikeSim
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https://issues.apache.org/jira/browse/SPARK-14616?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15241860#comment-15241860
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JESSE CHEN commented on SPARK-14616:
Build from yesterday did not have this problem.
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https://issues.apache.org/jira/browse/SPARK-14238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nick Pentreath resolved SPARK-14238.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12079
[https:/
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https://issues.apache.org/jira/browse/SPARK-14618?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-14618.
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Resolution: Fixed
Fix Version/s: 1.6.2
1.5.3
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