[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-08 Thread yanboliang
Github user yanboliang commented on the issue: https://github.com/apache/spark/pull/16312 Merged into master, thanks for reviewing. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-07 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/16312 LGTM. thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so,

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-07 Thread AmplabJenkins
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-07 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-07 Thread AmplabJenkins
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-07 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-06 Thread yanboliang
Github user yanboliang commented on the issue: https://github.com/apache/spark/pull/16312 @felixcheung @shivaram I changed ```read.ml``` to pass in ```sparkSession``` if necessary, then it will not use stale spark context which will cause errors. This is consistent with

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-06 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/16312 **[Test build #70984 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/70984/testReport)** for PR 16312 at commit

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-06 Thread AmplabJenkins
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2017-01-06 Thread AmplabJenkins
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2017-01-06 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-23 Thread yanboliang
Github user yanboliang commented on the issue: https://github.com/apache/spark/pull/16312 @shivaram @felixcheung You comments are really very helpful, I understand the problem and will try to figure out some ways to fix it. Thanks very much. --- If your project is set up for it, you

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-22 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/16312 ah, thank you @shivaram. sorry I couldn't get around to investigate earlier. @yanboliang It looks like that is the design in the trait BaseReadWrite

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-22 Thread shivaram
Github user shivaram commented on the issue: https://github.com/apache/spark/pull/16312 I looked at this more closely and I think I found the problem - Not sure its easy to fix though. What I traced here is: - When we call sparkR.session.stop and sparkR.session the same JVM

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-18 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/16312 sure, I'll take a deeper look in a day or 2. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-18 Thread yanboliang
Github user yanboliang commented on the issue: https://github.com/apache/spark/pull/16312 I'm trying to figure out the cause of this issue but still no progress until now, could you or @shivaram give some hints or suggestion? Thanks. --- If your project is set up for it, you can

[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-17 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/16312 Hmm, from what I can see pretty sure it used to work with sparkR.session.stop() calls for enableHiveSupport = F sessions. Do we know why this is suddenly causing issues? --- If your project

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2016-12-17 Thread AmplabJenkins
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2016-12-17 Thread SparkQA
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2016-12-17 Thread AmplabJenkins
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2016-12-17 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-17 Thread AmplabJenkins
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2016-12-17 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-17 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-16 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/16312 I like how they are grouped. not sure why tests are failing though --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your

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2016-12-16 Thread SparkQA
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2016-12-16 Thread SparkQA
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[GitHub] spark issue #16312: [SPARK-18862][SPARKR][ML] Split SparkR mllib.R into mult...

2016-12-16 Thread wangmiao1981
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/16312 retest this please. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and

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2016-12-16 Thread wangmiao1981
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/16312 This is quite necessary change! The file becomes very lengthy. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your

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2016-12-16 Thread SparkQA
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2016-12-16 Thread SparkQA
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