[jira] [Updated] (SPARK-16251) LocalCheckpointSuite's - missing checkpoint block fails with informative message is flaky.

[ https://issues.apache.org/jira/browse/SPARK-16251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Prashant Sharma updated SPARK-16251: Summary: LocalCheckpointSuite's - missing checkpoint block fails with informative message i

[jira] [Assigned] (SPARK-16250) Can't use escapeQuotes option in DataFrameWriter.csv()

[ https://issues.apache.org/jira/browse/SPARK-16250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16250: Assignee: Apache Spark > Can't use escapeQuotes option in DataFrameWriter.csv() >

[jira] [Assigned] (SPARK-16250) Can't use escapeQuotes option in DataFrameWriter.csv()

[ https://issues.apache.org/jira/browse/SPARK-16250?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16250: Assignee: (was: Apache Spark) > Can't use escapeQuotes option in DataFrameWriter.csv()

[jira] [Commented] (SPARK-16250) Can't use escapeQuotes option in DataFrameWriter.csv()

[ https://issues.apache.org/jira/browse/SPARK-16250?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352711#comment-15352711 ] Apache Spark commented on SPARK-16250: -- User 'HyukjinKwon' has created a pull reques

[jira] [Created] (SPARK-16250) Can't use escapeQuotes option in DataFrameWriter.csv()

Hyukjin Kwon created SPARK-16250: Summary: Can't use escapeQuotes option in DataFrameWriter.csv() Key: SPARK-16250 URL: https://issues.apache.org/jira/browse/SPARK-16250 Project: Spark Issue

[jira] [Commented] (SPARK-11106) Should ML Models contains single models or Pipelines?

[ https://issues.apache.org/jira/browse/SPARK-11106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352690#comment-15352690 ] Max Moroz commented on SPARK-11106: --- Automatic feature transformation creates a lot of

[jira] [Updated] (SPARK-16232) Getting error by making columns using DataFrame

[ https://issues.apache.org/jira/browse/SPARK-16232?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-16232: -- Flags: (was: Important) Target Version/s: (was: 1.5.1) > Getting error by making col

[jira] [Updated] (SPARK-16128) Allow setting length of characters to be truncated to, in Dataset.show function.

[ https://issues.apache.org/jira/browse/SPARK-16128?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Prashant Sharma updated SPARK-16128: Summary: Allow setting length of characters to be truncated to, in Dataset.show function.

[jira] [Commented] (SPARK-5114) Should Evaluator be a PipelineStage

[ https://issues.apache.org/jira/browse/SPARK-5114?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352651#comment-15352651 ] Max Moroz commented on SPARK-5114: -- +1 for Evaluator to be a PipelineStage. What options

[jira] [Resolved] (SPARK-16219) Unable to run Python wordcount

[ https://issues.apache.org/jira/browse/SPARK-16219?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-16219. --- Resolution: Not A Problem > Unable to run Python wordcount > -- > >

[jira] [Comment Edited] (SPARK-16055) sparkR.init() can not load sparkPackages when executing an R file

[ https://issues.apache.org/jira/browse/SPARK-16055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352051#comment-15352051 ] Krishna Kalyan edited comment on SPARK-16055 at 6/28/16 9:06 AM: --

[jira] [Comment Edited] (SPARK-16055) sparkR.init() can not load sparkPackages when executing an R file

[ https://issues.apache.org/jira/browse/SPARK-16055?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352051#comment-15352051 ] Krishna Kalyan edited comment on SPARK-16055 at 6/28/16 8:55 AM: --

[jira] [Commented] (SPARK-16224) Hive context created by HiveContext can't access Hive databases when used in a script launched be spark-submit

[ https://issues.apache.org/jira/browse/SPARK-16224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352602#comment-15352602 ] Piotr Milanowski commented on SPARK-16224: -- Hi, Tested your changes. It seems to

[jira] [Commented] (SPARK-16240) model loading backward compatibility for ml.clustering.LDA

[ https://issues.apache.org/jira/browse/SPARK-16240?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352575#comment-15352575 ] yuhao yang commented on SPARK-16240: This still does not resolve the issue when user

[jira] [Assigned] (SPARK-16249) Change visibility of Object ml.clustering.LDA to public for loading

[ https://issues.apache.org/jira/browse/SPARK-16249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16249: Assignee: (was: Apache Spark) > Change visibility of Object ml.clustering.LDA to publi

[jira] [Commented] (SPARK-16249) Change visibility of Object ml.clustering.LDA to public for loading

[ https://issues.apache.org/jira/browse/SPARK-16249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352566#comment-15352566 ] Apache Spark commented on SPARK-16249: -- User 'hhbyyh' has created a pull request for

[jira] [Assigned] (SPARK-16249) Change visibility of Object ml.clustering.LDA to public for loading

[ https://issues.apache.org/jira/browse/SPARK-16249?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16249: Assignee: Apache Spark > Change visibility of Object ml.clustering.LDA to public for loadi

[jira] [Created] (SPARK-16249) Change visibility of Object ml.clustering.LDA to public for loading

yuhao yang created SPARK-16249: -- Summary: Change visibility of Object ml.clustering.LDA to public for loading Key: SPARK-16249 URL: https://issues.apache.org/jira/browse/SPARK-16249 Project: Spark

[jira] [Commented] (SPARK-16235) "evaluateEachIteration" is returning wrong results when calculated for classification model.

[ https://issues.apache.org/jira/browse/SPARK-16235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15352538#comment-15352538 ] Sean Owen commented on SPARK-16235: --- Although you can apply MSE to any set of numbers,

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