[GitHub] spark pull request: SPARK-2748 [MLLIB] [GRAPHX] Loss of precision ...

2014-07-30 Thread asfgit
Github user asfgit closed the pull request at: https://github.com/apache/spark/pull/1659 --- 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 enab

[GitHub] spark pull request: SPARK-2748 [MLLIB] [GRAPHX] Loss of precision ...

2014-07-30 Thread mengxr
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/1659#issuecomment-50635193 LGTM. Merged into master. 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

[GitHub] spark pull request: SPARK-2748 [MLLIB] [GRAPHX] Loss of precision ...

2014-07-30 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1659#issuecomment-50608076 QA results for PR 1659:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds no public classesFor more information see test ouptut:https://amplab.c

[GitHub] spark pull request: SPARK-2748 [MLLIB] [GRAPHX] Loss of precision ...

2014-07-30 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1659#issuecomment-50604084 QA tests have started for PR 1659. This patch merges cleanly. View progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17444/consoleFull --- If

[GitHub] spark pull request: SPARK-2748 [MLLIB] [GRAPHX] Loss of precision ...

2014-07-30 Thread srowen
GitHub user srowen opened a pull request: https://github.com/apache/spark/pull/1659 SPARK-2748 [MLLIB] [GRAPHX] Loss of precision for small arguments to Math.exp, Math.log In a few places in MLlib, an expression of the form `log(1.0 + p)` is evaluated. When p is so small that `1.0