[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-06-21 Thread yuhao yang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15342475#comment-15342475 ] yuhao yang commented on SPARK-15100: [~josephkb] Yes, I made a pass on ml.feature and

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-06-16 Thread Joseph K. Bradley (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15334346#comment-15334346 ] Joseph K. Bradley commented on SPARK-15100: --- [~yuhaoyan] Is it correct that yo

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-28 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15305308#comment-15305308 ] Apache Spark commented on SPARK-15100: -- User 'hhbyyh' has created a pull request for

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-20 Thread Nick Pentreath (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15292899#comment-15292899 ] Nick Pentreath commented on SPARK-15100: I created SPARK-15442 for #1 > Audit: m

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-20 Thread Nick Pentreath (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15292895#comment-15292895 ] Nick Pentreath commented on SPARK-15100: I'm not sure we need to set each and eve

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-18 Thread Apache Spark (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289606#comment-15289606 ] Apache Spark commented on SPARK-15100: -- User 'GayathriMurali' has created a pull req

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-18 Thread Gayathri Murali (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289513#comment-15289513 ] Gayathri Murali commented on SPARK-15100: - While making changes to CountVectorize

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-18 Thread Bryan Cutler (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289402#comment-15289402 ] Bryan Cutler commented on SPARK-15100: -- sure, I hadn't started on those yet > Audit

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-18 Thread Gayathri Murali (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289394#comment-15289394 ] Gayathri Murali commented on SPARK-15100: - [~bryanc] I have the PR ready for Coun

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-18 Thread Bryan Cutler (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15289350#comment-15289350 ] Bryan Cutler commented on SPARK-15100: -- I did a quick pass through Scala and Python

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-16 Thread Bryan Cutler (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15285366#comment-15285366 ] Bryan Cutler commented on SPARK-15100: -- I can do a PR to update CountVectorizer and

[jira] [Commented] (SPARK-15100) Audit: ml.feature

2016-05-10 Thread yuhao yang (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-15100?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15277767#comment-15277767 ] yuhao yang commented on SPARK-15100: Improvements or new features in spark.ml.feature