[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-18 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49401055 QA results for PR 886:br- This patch PASSES unit tests.br- This patch merges cleanlybr- This patch adds no public classesbrbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-18 Thread mengxr
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49479172 @manishamde Thanks for adding multiclass support to decision tree! And thank everyone for the code review! Merged into master. --- If your project is set up for

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-18 Thread asfgit
Github user asfgit closed the pull request at: https://github.com/apache/spark/pull/886 --- 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, or if the feature is

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49362826 QA tests have started for PR 886. This patch DID NOT merge cleanly! brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16788/consoleFull

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49374489 QA results for PR 886:br- This patch FAILED unit tests.brbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49375184 @manishamde I think the issue is that there are missing ++ operator for concatenating excludes in the MimaExcludes.scala file. Does adding them fix it? --- If your

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49375478 @jkbradley Added the operator. The merge with master changed the format and I did not notice it. On Thu, Jul 17, 2014 at 3:29 PM, jkbradley

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49375839 QA tests have started for PR 886. This patch merges cleanly. brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16792/consoleFull ---

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49382897 QA results for PR 886:br- This patch FAILED unit tests.br- This patch merges cleanlybr- This patch adds no public classesbrbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49391235 QA tests have started for PR 886. This patch merges cleanly. brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16806/consoleFull ---

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49391256 QA results for PR 886:br- This patch FAILED unit tests.br- This patch merges cleanlybr- This patch adds no public classesbrbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49391450 QA tests have started for PR 886. This patch merges cleanly. brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16807/consoleFull ---

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49395217 QA results for PR 886:br- This patch PASSES unit tests.br- This patch merges cleanlybr- This patch adds no public classesbrbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49395750 @mengxr LGTM. @manishamde Thanks for the fixes! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49396157 @jkbradley Thanks! I just made another very minor commit to format MimaExcludes.scala. --- If your project is set up for it, you can reply to this email and have

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-17 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49396292 QA tests have started for PR 886. This patch merges cleanly. brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16809/consoleFull ---

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-16 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49219179 @manishamde It looks like the MIMA issue may not be fixed right away, so let's use the exceptions in MimaExcludes.scala for now. Could you please do that? I believe

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-48998668 @pwendell I modified the title. --- 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

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49077092 @manishamde It looks like MIMA is complaining about binary compatibility. Could you please check out the errors in the Jenkins log, which give commands, e.g.:

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49084154 QA tests have started for PR 886. This patch merges cleanly. brView progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16688/consoleFull ---

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49095921 QA results for PR 886:br- This patch FAILED unit tests.br- This patch merges cleanlybr- This patch adds no public classesbrbrFor more information see test

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49097254 @manishamde The @DeveloperApi does not seem to have fixed MIMA's complaints. I think that modifying the spark/project/MimaExcludes.scala file should do the trick.

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49098644 @jkbradley I will make the changes that you mentioned. The documentation from the MimaExcludes.scala says the the DeveloperApi classes will be skipped. May be

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49100250 @manishamde Thanks! I'll look into the MIMA issue. The code looks good, and it tests fine vs. scikit-learn on some datasets I've tried. My only comment now is

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49102109 @jkbradley Thanks a lot for taking a look at the MIMA issue. Also many thanks for testing out versus scikit-learn! I will update the documentation to speak about

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread jkbradley
Github user jkbradley commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49104473 @manishamde Apparently MIMA is a bit fragile currently, but is being worked on: [https://issues.apache.org/jira/browse/SPARK-2069] I added a subtask for this specific

[GitHub] spark pull request: [MLlib] SPARK-1536: multiclass classification ...

2014-07-15 Thread manishamde
Github user manishamde commented on the pull request: https://github.com/apache/spark/pull/886#issuecomment-49105740 @jkbradley 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