[jira] [Assigned] (SPARK-10466) UnsafeRow exception in Sort-Based Shuffle with data spill

[ https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10466: Assignee: (was: Apache Spark) > UnsafeRow exception in Sort-Based Shuffle with data

[jira] [Commented] (SPARK-10466) UnsafeRow exception in Sort-Based Shuffle with data spill

[ https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733178#comment-14733178 ] Apache Spark commented on SPARK-10466: -- User 'chenghao-intel' has created a pull request for this

[jira] [Assigned] (SPARK-10466) UnsafeRow exception in Sort-Based Shuffle with data spill

[ https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10466: Assignee: Apache Spark > UnsafeRow exception in Sort-Based Shuffle with data spill >

[jira] [Commented] (SPARK-10288) Add a rest client for Spark on Yarn

[ https://issues.apache.org/jira/browse/SPARK-10288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733223#comment-14733223 ] Saisai Shao commented on SPARK-10288: - Thanks a lot Marcelo for your comments, indeed these things

[jira] [Created] (SPARK-10469) Document tungsten-sort

holdenk created SPARK-10469: --- Summary: Document tungsten-sort Key: SPARK-10469 URL: https://issues.apache.org/jira/browse/SPARK-10469 Project: Spark Issue Type: Documentation Reporter:

[jira] [Commented] (SPARK-10273) Add @since annotation to pyspark.mllib.feature

[ https://issues.apache.org/jira/browse/SPARK-10273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733143#comment-14733143 ] Apache Spark commented on SPARK-10273: -- User 'noel-smith' has created a pull request for this issue:

[jira] [Created] (SPARK-10466) UnsafeRow exception in Sort-Based Shuffle with data spill

Cheng Hao created SPARK-10466: - Summary: UnsafeRow exception in Sort-Based Shuffle with data spill Key: SPARK-10466 URL: https://issues.apache.org/jira/browse/SPARK-10466 Project: Spark Issue

[jira] [Updated] (SPARK-10467) Vector is converted to tuple when extracted from Row using __getitem__

[ https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Maciej Szymkiewicz updated SPARK-10467: --- Description: If we take a row from a data frame and try to extract vector element by

[jira] [Updated] (SPARK-10467) Vector is converted to tuple when extracted from Row using __getitem__

[ https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Maciej Szymkiewicz updated SPARK-10467: --- Description: If we take a row from a data frame and try to extract vector element by

[jira] [Assigned] (SPARK-10449) StructType.merge shouldn't merge DecimalTypes with different precisions and/or scales

[ https://issues.apache.org/jira/browse/SPARK-10449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10449: Assignee: (was: Apache Spark) > StructType.merge shouldn't merge DecimalTypes with

[jira] [Commented] (SPARK-10449) StructType.merge shouldn't merge DecimalTypes with different precisions and/or scales

[ https://issues.apache.org/jira/browse/SPARK-10449?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733163#comment-14733163 ] Apache Spark commented on SPARK-10449: -- User 'holdenk' has created a pull request for this issue:

[jira] [Created] (SPARK-10468) Verify schema before Dataframe select API call

Vinod KC created SPARK-10468: Summary: Verify schema before Dataframe select API call Key: SPARK-10468 URL: https://issues.apache.org/jira/browse/SPARK-10468 Project: Spark Issue Type:

[jira] [Commented] (SPARK-8793) error/warning with pyspark WholeTextFiles.first

[ https://issues.apache.org/jira/browse/SPARK-8793?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733135#comment-14733135 ] Alexey Grishchenko commented on SPARK-8793: --- This error usually means that you are using

[jira] [Commented] (SPARK-10462) spark-ec2 not creating ephemeral volumes

[ https://issues.apache.org/jira/browse/SPARK-10462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733136#comment-14733136 ] Joseph E. Gonzalez commented on SPARK-10462: Good question. I raised the issue here since it

[jira] [Commented] (SPARK-9642) LinearRegression should supported weighted data

[ https://issues.apache.org/jira/browse/SPARK-9642?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732533#comment-14732533 ] Apache Spark commented on SPARK-9642: - User 'rotationsymmetry' has created a pull request for this

[jira] [Assigned] (SPARK-9642) LinearRegression should supported weighted data

[ https://issues.apache.org/jira/browse/SPARK-9642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-9642: --- Assignee: (was: Apache Spark) > LinearRegression should supported weighted data >

[jira] [Assigned] (SPARK-9642) LinearRegression should supported weighted data

[ https://issues.apache.org/jira/browse/SPARK-9642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-9642: --- Assignee: Apache Spark > LinearRegression should supported weighted data >

[jira] [Created] (SPARK-10467) Vector is converted to tuple when extracted from Row using __getitem__

Maciej Szymkiewicz created SPARK-10467: -- Summary: Vector is converted to tuple when extracted from Row using __getitem__ Key: SPARK-10467 URL: https://issues.apache.org/jira/browse/SPARK-10467

[jira] [Assigned] (SPARK-10273) Add @since annotation to pyspark.mllib.feature

[ https://issues.apache.org/jira/browse/SPARK-10273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10273: Assignee: (was: Apache Spark) > Add @since annotation to pyspark.mllib.feature >

[jira] [Assigned] (SPARK-10273) Add @since annotation to pyspark.mllib.feature

[ https://issues.apache.org/jira/browse/SPARK-10273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10273: Assignee: Apache Spark > Add @since annotation to pyspark.mllib.feature >

[jira] [Commented] (SPARK-3369) Java mapPartitions Iterator->Iterable is inconsistent with Scala's Iterator->Iterator

[ https://issues.apache.org/jira/browse/SPARK-3369?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733175#comment-14733175 ] Ryan Schmitt commented on SPARK-3369: - I've found a reasonably elegant workaround for this issue

[jira] [Assigned] (SPARK-10468) Verify schema before Dataframe select API call

[ https://issues.apache.org/jira/browse/SPARK-10468?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10468: Assignee: Apache Spark > Verify schema before Dataframe select API call >

[jira] [Assigned] (SPARK-10468) Verify schema before Dataframe select API call

[ https://issues.apache.org/jira/browse/SPARK-10468?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10468: Assignee: (was: Apache Spark) > Verify schema before Dataframe select API call >

[jira] [Commented] (SPARK-10468) Verify schema before Dataframe select API call

[ https://issues.apache.org/jira/browse/SPARK-10468?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733242#comment-14733242 ] Apache Spark commented on SPARK-10468: -- User 'vinodkc' has created a pull request for this issue:

[jira] [Assigned] (SPARK-10449) StructType.merge shouldn't merge DecimalTypes with different precisions and/or scales

[ https://issues.apache.org/jira/browse/SPARK-10449?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10449: Assignee: Apache Spark > StructType.merge shouldn't merge DecimalTypes with different

[jira] [Updated] (SPARK-10310) [Spark SQL] All result records will be popluated into ONE line during the script transform due to missing the correct line/filed delimiter

[ https://issues.apache.org/jira/browse/SPARK-10310?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yi Zhou updated SPARK-10310: Summary: [Spark SQL] All result records will be popluated into ONE line during the script transform due to

[jira] [Commented] (SPARK-10310) [Spark SQL] All result records will be popluated into ONE line during the script transform due to missing the correct line/filed delimiter

[ https://issues.apache.org/jira/browse/SPARK-10310?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733195#comment-14733195 ] Yi Zhou commented on SPARK-10310: - Hi [~marmbrus] Could you please help to review and evaluate this

[jira] [Updated] (SPARK-10467) Vector is converted to tuple when extracted from Row using __getitem__

[ https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Maciej Szymkiewicz updated SPARK-10467: --- Description: If we take a row from a data frame and try to extract vector element by

[jira] [Commented] (SPARK-10362) Cannot create DataFrame from large pandas.DataFrame

[ https://issues.apache.org/jira/browse/SPARK-10362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732537#comment-14732537 ] Alexey Grishchenko commented on SPARK-10362: _createDataFrame()_ in Python, when called for

[jira] [Commented] (SPARK-10399) Off Heap Memory Access for non-JVM libraries (C++)

[ https://issues.apache.org/jira/browse/SPARK-10399?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14733169#comment-14733169 ] Paul Wais commented on SPARK-10399: --- Image processing is a great use case. I've deployed a JNA-based

[jira] [Updated] (SPARK-10467) Vector is converted to tuple when extracted from Row using __getitem__

[ https://issues.apache.org/jira/browse/SPARK-10467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Maciej Szymkiewicz updated SPARK-10467: --- Description: {code} from pyspark.ml.feature import HashingTF df =

[jira] [Commented] (SPARK-10249) Add Python Code Example to StopWordsRemover User Guide

[ https://issues.apache.org/jira/browse/SPARK-10249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732216#comment-14732216 ] Apache Spark commented on SPARK-10249: -- User 'hhbyyh' has created a pull request for this issue:

[jira] [Commented] (SPARK-10462) spark-ec2 not creating ephemeral volumes

[ https://issues.apache.org/jira/browse/SPARK-10462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732300#comment-14732300 ] Sean Owen commented on SPARK-10462: --- Meta-question -- since EC2 support has moved out of Spark, is

[jira] [Created] (SPARK-10464) Add WeibullGenerator for RandomDataGenerator

Yanbo Liang created SPARK-10464: --- Summary: Add WeibullGenerator for RandomDataGenerator Key: SPARK-10464 URL: https://issues.apache.org/jira/browse/SPARK-10464 Project: Spark Issue Type:

[jira] [Assigned] (SPARK-10464) Add WeibullGenerator for RandomDataGenerator

[ https://issues.apache.org/jira/browse/SPARK-10464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10464: Assignee: (was: Apache Spark) > Add WeibullGenerator for RandomDataGenerator >

[jira] [Commented] (SPARK-10464) Add WeibullGenerator for RandomDataGenerator

[ https://issues.apache.org/jira/browse/SPARK-10464?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732305#comment-14732305 ] Apache Spark commented on SPARK-10464: -- User 'yanboliang' has created a pull request for this issue:

[jira] [Updated] (SPARK-10464) Add WeibullGenerator for RandomDataGenerator

[ https://issues.apache.org/jira/browse/SPARK-10464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yanbo Liang updated SPARK-10464: Component/s: (was: ML) MLlib > Add WeibullGenerator for RandomDataGenerator >

[jira] [Assigned] (SPARK-10464) Add WeibullGenerator for RandomDataGenerator

[ https://issues.apache.org/jira/browse/SPARK-10464?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10464: Assignee: Apache Spark > Add WeibullGenerator for RandomDataGenerator >

[jira] [Assigned] (SPARK-10249) Add Python Code Example to StopWordsRemover User Guide

[ https://issues.apache.org/jira/browse/SPARK-10249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10249: Assignee: Apache Spark > Add Python Code Example to StopWordsRemover User Guide >

[jira] [Assigned] (SPARK-10249) Add Python Code Example to StopWordsRemover User Guide

[ https://issues.apache.org/jira/browse/SPARK-10249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10249: Assignee: (was: Apache Spark) > Add Python Code Example to StopWordsRemover User

[jira] [Commented] (SPARK-9666) ML 1.5 QA: model save/load audit

[ https://issues.apache.org/jira/browse/SPARK-9666?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732235#comment-14732235 ] yuhao yang commented on SPARK-9666: --- Sure. Thanks. > ML 1.5 QA: model save/load audit >

[jira] [Created] (SPARK-10463) remove PromotePrecision during optimization

Adrian Wang created SPARK-10463: --- Summary: remove PromotePrecision during optimization Key: SPARK-10463 URL: https://issues.apache.org/jira/browse/SPARK-10463 Project: Spark Issue Type:

[jira] [Assigned] (SPARK-10463) remove PromotePrecision during optimization

[ https://issues.apache.org/jira/browse/SPARK-10463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10463: Assignee: Apache Spark > remove PromotePrecision during optimization >

[jira] [Assigned] (SPARK-10463) remove PromotePrecision during optimization

[ https://issues.apache.org/jira/browse/SPARK-10463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10463: Assignee: (was: Apache Spark) > remove PromotePrecision during optimization >

[jira] [Commented] (SPARK-10463) remove PromotePrecision during optimization

[ https://issues.apache.org/jira/browse/SPARK-10463?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732293#comment-14732293 ] Apache Spark commented on SPARK-10463: -- User 'adrian-wang' has created a pull request for this

[jira] [Commented] (SPARK-10433) Gradient boosted trees

[ https://issues.apache.org/jira/browse/SPARK-10433?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732302#comment-14732302 ] Sean Owen commented on SPARK-10433: --- Quite possible; would that have resulted in excessively large

[jira] [Updated] (SPARK-10463) remove PromotePrecision during optimization

[ https://issues.apache.org/jira/browse/SPARK-10463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-10463: -- Component/s: SQL > remove PromotePrecision during optimization >

[jira] [Commented] (SPARK-8696) StreamingLDA

[ https://issues.apache.org/jira/browse/SPARK-8696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732240#comment-14732240 ] yuhao yang commented on SPARK-8696: --- Hi [~josephkb], I got a prototype on this. Is this a desirable

[jira] [Commented] (SPARK-10094) Mark ML PySpark feature transformers as Experimental to match Scala

[ https://issues.apache.org/jira/browse/SPARK-10094?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732317#comment-14732317 ] Apache Spark commented on SPARK-10094: -- User 'noel-smith' has created a pull request for this issue:

[jira] [Assigned] (SPARK-10094) Mark ML PySpark feature transformers as Experimental to match Scala

[ https://issues.apache.org/jira/browse/SPARK-10094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10094: Assignee: (was: Apache Spark) > Mark ML PySpark feature transformers as Experimental

[jira] [Assigned] (SPARK-10094) Mark ML PySpark feature transformers as Experimental to match Scala

[ https://issues.apache.org/jira/browse/SPARK-10094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10094: Assignee: Apache Spark > Mark ML PySpark feature transformers as Experimental to match

[jira] [Commented] (SPARK-10249) Add Python Code Example to StopWordsRemover User Guide

[ https://issues.apache.org/jira/browse/SPARK-10249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732220#comment-14732220 ] yuhao yang commented on SPARK-10249: Thanks [~fliang] for creating the jira. > Add Python Code

[jira] [Commented] (SPARK-9096) Unevenly distributed task loads after using JavaRDD.subtract()

[ https://issues.apache.org/jira/browse/SPARK-9096?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732230#comment-14732230 ] Lior Chaga commented on SPARK-9096: --- I would suggest the following alternative to changing partitioner:

[jira] [Updated] (SPARK-10465) Shortest Path between two vertices, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anita Tailor updated SPARK-10465: - Description: Currently there is no API in graphX to calculate shortest path between two

[jira] [Updated] (SPARK-10465) Shortest Path between two vertices, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anita Tailor updated SPARK-10465: - Summary: Shortest Path between two vertices, using distance and results carries shortest path

[jira] [Commented] (SPARK-10433) Gradient boosted trees

[ https://issues.apache.org/jira/browse/SPARK-10433?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732392#comment-14732392 ] DB Tsai commented on SPARK-10433: - ++1 I saw exactly the same symptom and I was wondering the same

[jira] [Commented] (SPARK-8630) Prevent from checkpointing QueueInputDStream

[ https://issues.apache.org/jira/browse/SPARK-8630?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732408#comment-14732408 ] Shixiong Zhu commented on SPARK-8630: - Sent a PR to output a warning:

[jira] [Commented] (SPARK-10071) QueueInputDStream Should Allow Checkpointing

[ https://issues.apache.org/jira/browse/SPARK-10071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732406#comment-14732406 ] Apache Spark commented on SPARK-10071: -- User 'zsxwing' has created a pull request for this issue:

[jira] [Assigned] (SPARK-10071) QueueInputDStream Should Allow Checkpointing

[ https://issues.apache.org/jira/browse/SPARK-10071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10071: Assignee: (was: Apache Spark) > QueueInputDStream Should Allow Checkpointing >

[jira] [Assigned] (SPARK-10071) QueueInputDStream Should Allow Checkpointing

[ https://issues.apache.org/jira/browse/SPARK-10071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10071: Assignee: Apache Spark > QueueInputDStream Should Allow Checkpointing >

[jira] [Resolved] (SPARK-10148) Display active and inactive receiver numbers in Streaming page

[ https://issues.apache.org/jira/browse/SPARK-10148?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shixiong Zhu resolved SPARK-10148. -- Resolution: Fixed Fix Version/s: 1.5.0 > Display active and inactive receiver numbers

[jira] [Updated] (SPARK-10071) QueueInputDStream Should Allow Checkpointing

[ https://issues.apache.org/jira/browse/SPARK-10071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shixiong Zhu updated SPARK-10071: - Affects Version/s: 1.5.0 > QueueInputDStream Should Allow Checkpointing >

[jira] [Updated] (SPARK-10465) Shortest Path between two vertex, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anita Tailor updated SPARK-10465: - Description: Currently there is no API in graphX to calculate shortest path between two vertex

[jira] [Created] (SPARK-10465) Shortest Path between two vertex, using distance and results carries shortest path and distance

Anita Tailor created SPARK-10465: Summary: Shortest Path between two vertex, using distance and results carries shortest path and distance Key: SPARK-10465 URL: https://issues.apache.org/jira/browse/SPARK-10465

[jira] [Commented] (SPARK-9096) Unevenly distributed task loads after using JavaRDD.subtract()

[ https://issues.apache.org/jira/browse/SPARK-9096?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732358#comment-14732358 ] Alexey Pechorin commented on SPARK-9096: This problem has happened to me as well, while using

[jira] [Commented] (SPARK-9834) Normal equation solver for ordinary least squares

[ https://issues.apache.org/jira/browse/SPARK-9834?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732440#comment-14732440 ] DB Tsai commented on SPARK-9834: In fact, for linear regression, if the # of features is small, X^TX is

[jira] [Assigned] (SPARK-10465) Shortest Path between two vertices, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10465: Assignee: Apache Spark > Shortest Path between two vertices, using distance and results

[jira] [Assigned] (SPARK-10465) Shortest Path between two vertices, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10465: Assignee: (was: Apache Spark) > Shortest Path between two vertices, using distance

[jira] [Commented] (SPARK-10465) Shortest Path between two vertices, using distance and results carries shortest path and distance

[ https://issues.apache.org/jira/browse/SPARK-10465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732416#comment-14732416 ] Apache Spark commented on SPARK-10465: -- User 'anitaguavus' has created a pull request for this

[jira] [Commented] (SPARK-10269) Add @since annotation to pyspark.mllib.classification

[ https://issues.apache.org/jira/browse/SPARK-10269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732448#comment-14732448 ] Apache Spark commented on SPARK-10269: -- User 'noel-smith' has created a pull request for this issue:

[jira] [Assigned] (SPARK-10269) Add @since annotation to pyspark.mllib.classification

[ https://issues.apache.org/jira/browse/SPARK-10269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10269: Assignee: Apache Spark > Add @since annotation to pyspark.mllib.classification >

[jira] [Assigned] (SPARK-10269) Add @since annotation to pyspark.mllib.classification

[ https://issues.apache.org/jira/browse/SPARK-10269?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10269: Assignee: (was: Apache Spark) > Add @since annotation to pyspark.mllib.classification

[jira] [Assigned] (SPARK-10271) Add @since annotation to pyspark.mllib.clustering

[ https://issues.apache.org/jira/browse/SPARK-10271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10271: Assignee: (was: Apache Spark) > Add @since annotation to pyspark.mllib.clustering >

[jira] [Commented] (SPARK-10271) Add @since annotation to pyspark.mllib.clustering

[ https://issues.apache.org/jira/browse/SPARK-10271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732506#comment-14732506 ] Apache Spark commented on SPARK-10271: -- User 'noel-smith' has created a pull request for this issue:

[jira] [Assigned] (SPARK-10271) Add @since annotation to pyspark.mllib.clustering

[ https://issues.apache.org/jira/browse/SPARK-10271?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10271: Assignee: Apache Spark > Add @since annotation to pyspark.mllib.clustering >

[jira] [Assigned] (SPARK-10272) Add @since annotation to pyspark.mllib.evaluation

[ https://issues.apache.org/jira/browse/SPARK-10272?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-10272: Assignee: (was: Apache Spark) > Add @since annotation to pyspark.mllib.evaluation >

[jira] [Commented] (SPARK-10272) Add @since annotation to pyspark.mllib.evaluation

[ https://issues.apache.org/jira/browse/SPARK-10272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14732513#comment-14732513 ] Apache Spark commented on SPARK-10272: -- User 'noel-smith' has created a pull request for this issue: