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Apache Spark commented on SPARK-14176:
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User 'zsxwing' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14176:
Assignee: Apache Spark (was: Shixiong Zhu)
> Add processing time trigger
>
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Apache Spark reassigned SPARK-14176:
Assignee: Shixiong Zhu (was: Apache Spark)
> Add processing time trigger
>
Shixiong Zhu created SPARK-14176:
Summary: Add processing time trigger
Key: SPARK-14176
URL: https://issues.apache.org/jira/browse/SPARK-14176
Project: Spark
Issue Type: Sub-task
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https://issues.apache.org/jira/browse/SPARK-14175?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14175:
Assignee: Apache Spark (was: Davies Liu)
> Simplify whole stage codegen interface
>
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Apache Spark commented on SPARK-14175:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14175:
Assignee: Davies Liu (was: Apache Spark)
> Simplify whole stage codegen interface
>
Davies Liu created SPARK-14175:
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Summary: Simplify whole stage codegen interface
Key: SPARK-14175
URL: https://issues.apache.org/jira/browse/SPARK-14175
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-14174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212776#comment-15212776
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zhengruifeng commented on SPARK-14174:
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There is another sklean example for MiniBatch KMeans:
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Apache Spark commented on SPARK-14174:
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User 'zhengruifeng' has created a pull request for this
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Apache Spark reassigned SPARK-14174:
Assignee: (was: Apache Spark)
> Accelerate KMeans via Mini-Batch EM
>
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Apache Spark reassigned SPARK-14174:
Assignee: Apache Spark
> Accelerate KMeans via Mini-Batch EM
>
zhengruifeng created SPARK-14174:
Summary: Accelerate KMeans via Mini-Batch EM
Key: SPARK-14174
URL: https://issues.apache.org/jira/browse/SPARK-14174
Project: Spark
Issue Type: Improvement
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Tathagata Das resolved SPARK-14109.
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Resolution: Fixed
> HDFSMetadataLog throws AbstractFilesSystem exception with common schemes
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koert kuipers commented on SPARK-14139:
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it is not clear to me if the goal should remain to derive
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liyan updated SPARK-14173:
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Description:
when i submit streaming application on *yarn cluster* mode, i can't find
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liyan updated SPARK-14173:
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Description:
when i submit streaming application on *yarn cluster* , i can't find
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liyan updated SPARK-14173:
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Description:
when i submit streaming application on *yarn cluster* , i can't find
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https://issues.apache.org/jira/browse/SPARK-4743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212726#comment-15212726
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Jack Franson commented on SPARK-4743:
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Hi, I'm still running into "Task not serializable" errors with
liyan created SPARK-14173:
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Summary: Ignoring config property “spark.executor.extraJavaOptions”
Key: SPARK-14173
URL: https://issues.apache.org/jira/browse/SPARK-14173
Project: Spark
Issue Type: Bug
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Yingji Zhang updated SPARK-14172:
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Description:
When the hive sql contains nondeterministic fields, spark plan will not push
down
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Jianfeng Hu updated SPARK-14171:
Description:
For example, when using percentile_approx and count distinct together, it
raises an
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Jianfeng Hu updated SPARK-14171:
Description:
For example, when using percentile_approx and count distinct together, it
raises an
Yingji Zhang created SPARK-14172:
Summary: Hive table partition predicate not passed down correctly
Key: SPARK-14172
URL: https://issues.apache.org/jira/browse/SPARK-14172
Project: Spark
Jianfeng Hu created SPARK-14171:
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Summary: UDAF aggregates argument object inspector not parsed
correctly
Key: SPARK-14171
URL: https://issues.apache.org/jira/browse/SPARK-14171
Project: Spark
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Reynold Xin commented on SPARK-12436:
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I don't have everything page in, but why isn't an empty string
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Reynold Xin commented on SPARK-1153:
[~ntietz] changing this will very likely make performance regress
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Reynold Xin resolved SPARK-14073.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Move streaming-flume back to Spark
>
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Apache Spark reassigned SPARK-14170:
Assignee: Apache Spark
> Remove the PR template before pushing changes
>
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Apache Spark commented on SPARK-14170:
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User 'vanzin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14170:
Assignee: (was: Apache Spark)
> Remove the PR template before pushing changes
>
Marcelo Vanzin created SPARK-14170:
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Summary: Remove the PR template before pushing changes
Key: SPARK-14170
URL: https://issues.apache.org/jira/browse/SPARK-14170
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-14013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14013:
Assignee: (was: Apache Spark)
> Properly implement temporary functions in
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Apache Spark commented on SPARK-14013:
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User 'andrewor14' has created a pull request for this issue:
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Apache Spark reassigned SPARK-14013:
Assignee: Apache Spark
> Properly implement temporary functions in SessionCatalog
>
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https://issues.apache.org/jira/browse/SPARK-13955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13955:
Assignee: Apache Spark
> Spark in yarn mode fails
>
>
>
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Apache Spark commented on SPARK-13955:
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User 'vanzin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-13955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-13955:
Assignee: (was: Apache Spark)
> Spark in yarn mode fails
>
>
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https://issues.apache.org/jira/browse/SPARK-14169?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212608#comment-15212608
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Apache Spark commented on SPARK-14169:
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User 'zsxwing' has created a pull request for this issue:
Shixiong Zhu created SPARK-14169:
Summary: Add UninterruptibleThread
Key: SPARK-14169
URL: https://issues.apache.org/jira/browse/SPARK-14169
Project: Spark
Issue Type: Improvement
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Apache Spark reassigned SPARK-14169:
Assignee: Apache Spark (was: Shixiong Zhu)
> Add UninterruptibleThread
>
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Apache Spark reassigned SPARK-14169:
Assignee: Shixiong Zhu (was: Apache Spark)
> Add UninterruptibleThread
>
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https://issues.apache.org/jira/browse/SPARK-14141?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212590#comment-15212590
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holdenk commented on SPARK-14141:
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So with RDDs there is `toLocalIterator` which you could use to do this
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holdenk commented on SPARK-14141:
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The more I look at this the more I think its not a good fit for Spark.
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Luke Miner commented on SPARK-14141:
Is there any way to do this process in chunks: read a chunk of
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Xiangrui Meng updated SPARK-14159:
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Target Version/s: 1.6.2, 2.0.0 (was: 2.0.0)
> StringIndexerModel sets output column metadata
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Xiangrui Meng reopened SPARK-14159:
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> StringIndexerModel sets output column metadata incorrectly
>
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Apache Spark reassigned SPARK-14159:
Assignee: Joseph K. Bradley (was: Apache Spark)
> StringIndexerModel sets output column
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Apache Spark reassigned SPARK-14159:
Assignee: Apache Spark (was: Joseph K. Bradley)
> StringIndexerModel sets output column
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Xiangrui Meng resolved SPARK-14159.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11965
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holdenk commented on SPARK-14141:
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So following up, `from_records` doesn't take dtypes although we could
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Apache Spark reassigned SPARK-14168:
Assignee: Imran Rashid (was: Apache Spark)
> Managed Memory Leak Msg Should Only Be a
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Apache Spark commented on SPARK-14168:
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User 'squito' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212497#comment-15212497
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Imran Rashid edited comment on SPARK-11293 at 3/25/16 10:27 PM:
I've seen
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Apache Spark reassigned SPARK-14168:
Assignee: Apache Spark (was: Imran Rashid)
> Managed Memory Leak Msg Should Only Be a
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https://issues.apache.org/jira/browse/SPARK-11293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212497#comment-15212497
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Imran Rashid commented on SPARK-11293:
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I've seen a few people misled by the error msg, so I'd like
Imran Rashid created SPARK-14168:
Summary: Managed Memory Leak Msg Should Only Be a Warning
Key: SPARK-14168
URL: https://issues.apache.org/jira/browse/SPARK-14168
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-14091?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen resolved SPARK-14091.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 11911
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Josh Rosen updated SPARK-14091:
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Summary: Improve performance of SparkContext.getCallSite() (was: Consider
improving performance of
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Josh Rosen updated SPARK-14091:
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Assignee: Rajesh Balamohan
> Consider improving performance of SparkContext.getCallSite()
>
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Dongjoon Hyun resolved SPARK-14167.
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Resolution: Won't Fix
I close this issue based on the comment of [~joshrosen].
"I'm
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Gayathri Murali commented on SPARK-13783:
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Thanks [~josephkb]. I can go first, as I am almost
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Apache Spark commented on SPARK-14167:
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User 'dongjoon-hyun' has created a pull request for this
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Apache Spark reassigned SPARK-14167:
Assignee: Apache Spark
> Remove redundant `return` in Scala code
>
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Apache Spark reassigned SPARK-14167:
Assignee: (was: Apache Spark)
> Remove redundant `return` in Scala code
>
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holdenk commented on SPARK-13842:
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This makes some additional sense when we consider that `StructType` in
Dongjoon Hyun created SPARK-14167:
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Summary: Remove redundant `return` in Scala code
Key: SPARK-14167
URL: https://issues.apache.org/jira/browse/SPARK-14167
Project: Spark
Issue Type: Task
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Joseph K. Bradley commented on SPARK-13783:
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I'd prefer what [~GayathriMurali] mentioned;
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Joseph K. Bradley updated SPARK-6725:
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Comment: was deleted
(was: Ping! Is anyone interested in picking up the GBT or
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holdenk commented on SPARK-14141:
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I can take a crack at this, seems pretty reasonable & small.
> Let
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Joseph K. Bradley updated SPARK-13783:
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Target Version/s: 2.0.0
> Model export/import for spark.ml: GBTs
>
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Joseph K. Bradley updated SPARK-13784:
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Target Version/s: 2.0.0
> Model export/import for spark.ml: RandomForests
>
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Joseph K. Bradley updated SPARK-6725:
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Target Version/s: 2.0.0
> Model export/import for Pipeline API (Scala)
>
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Joseph K. Bradley updated SPARK-6725:
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Summary: Model export/import for Pipeline API (Scala) (was: Model
export/import for
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Joseph K. Bradley commented on SPARK-6725:
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Ping! Is anyone interested in picking up the GBT or
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Apache Spark reassigned SPARK-14081:
Assignee: Apache Spark
> DataFrameNaFunctions fill should not convert float fields to
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Apache Spark commented on SPARK-14081:
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User 'traviscrawford' has created a pull request for this
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Apache Spark reassigned SPARK-14081:
Assignee: (was: Apache Spark)
> DataFrameNaFunctions fill should not convert float
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Sean Owen updated SPARK-14165:
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Issue Type: Bug (was: Improvement)
Hm yeah this is a problem then. I'm not 100% sure which case
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Apache Spark commented on SPARK-14159:
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User 'jkbradley' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-14108?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212368#comment-15212368
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Jacek Laskowski commented on SPARK-14108:
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I'd like to see the code to show case it since:
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Apache Spark reassigned SPARK-14159:
Assignee: Joseph K. Bradley (was: Apache Spark)
> StringIndexerModel sets output column
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Apache Spark reassigned SPARK-14159:
Assignee: Apache Spark (was: Joseph K. Bradley)
> StringIndexerModel sets output column
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Jacek Laskowski commented on SPARK-14165:
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Right, but:
{code}
scala> left.join(right, $"abc" ===
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Xusen Yin commented on SPARK-13786:
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I'll work on it.
> Pyspark ml.tuning support export/import
>
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Burak KÖSE updated SPARK-11666:
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Comment: was deleted
(was: Hi, can you share links for references about that?)
> Find the best `k`
Ruslan Dautkhanov created SPARK-14166:
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Summary: Add deterministic sampling like in Hive
Key: SPARK-14166
URL: https://issues.apache.org/jira/browse/SPARK-14166
Project: Spark
Issue
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Burak KÖSE edited comment on SPARK-14108 at 3/25/16 8:38 PM:
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Please give an
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Burak KÖSE commented on SPARK-14108:
Please give a test case.
> calling count() on empty dataframe
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https://issues.apache.org/jira/browse/SPARK-14165?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-14165:
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Issue Type: Improvement (was: Bug)
It's case sensitive right? your tables don't actually both have a
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https://issues.apache.org/jira/browse/SPARK-14131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Shixiong Zhu resolved SPARK-14131.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Add a workaround for HADOOP-10622 to fix
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https://issues.apache.org/jira/browse/SPARK-14123?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212356#comment-15212356
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Bo Meng commented on SPARK-14123:
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I will be working on this. Thanks.
> Function related commands
>
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https://issues.apache.org/jira/browse/SPARK-14041?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xusen Yin updated SPARK-14041:
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Description:
To find out all examples of ml/mllib that don't contain "example on":
{code}grep -L
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-14164:
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Summary: Improve input layer validation of MultilayerPerceptronClassifier
(was: Improve input
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-14164:
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Description:
This issue improves an input layer validation and adds related testcases to
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14164:
Assignee: (was: Apache Spark)
> Improve input layer validation to
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-14164:
Assignee: Apache Spark
> Improve input layer validation to MultilayerPerceptronClassifier
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15212337#comment-15212337
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Apache Spark commented on SPARK-14164:
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User 'dongjoon-hyun' has created a pull request for this
Jacek Laskowski created SPARK-14165:
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Summary: NoSuchElementException: None.get when joining DataFrames
with Seq of fields of different case
Key: SPARK-14165
URL:
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https://issues.apache.org/jira/browse/SPARK-14164?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun updated SPARK-14164:
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Summary: Improve input layer validation to MultilayerPerceptronClassifier
(was: Add input
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