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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51018588 QA results for PR 1207:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(p: Double)

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2014-08-03 Thread asfgit
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2014-08-03 Thread mengxr
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51017092 LGTM. Merged into both master and branch-1.1. 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 y

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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51016719 QA results for PR 1207:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(p: Double)

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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51016590 QA tests have started for PR 1207. This patch merges cleanly. View progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17841/consoleFull --- If

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2014-08-03 Thread dbtsai
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2014-08-03 Thread dbtsai
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51014616 QA tests have started for PR 1207. This patch merges cleanly. View progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17839/consoleFull --- If

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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread mengxr
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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51009150 QA results for PR 1207:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(p: Double)

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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-51008815 QA results for PR 1207:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(p: Double)

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2014-08-03 Thread SparkQA
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2014-08-03 Thread SparkQA
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2014-08-03 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50986084 QA results for PR 1207:- This patch FAILED unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(p: Int) ex

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2014-08-03 Thread SparkQA
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2014-08-03 Thread dbtsai
Github user dbtsai commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50986024 TODO 1) p = Double.PositiveInfinity. 1, 2, and inf. 2) Add withStd back. --- If your project is set up for it, you can reply to this email and have your reply appe

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2014-08-03 Thread mengxr
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2014-08-02 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50983292 QA results for PR 1207:- This patch PASSES unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(n: Int) ex

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[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-08-02 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50982574 QA results for PR 1207:- This patch FAILED unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(n: Int) ex

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-08-02 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50982572 QA tests have started for PR 1207. This patch merges cleanly. View progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17803/consoleFull --- If

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-08-02 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50982521 QA results for PR 1207:- This patch FAILED unit tests.- This patch merges cleanly- This patch adds the following public classes (experimental):class Normalizer(n: Int) ex

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-08-02 Thread SparkQA
Github user SparkQA commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-50982519 QA tests have started for PR 1207. This patch merges cleanly. View progress: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/17802/consoleFull --- If

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-07-09 Thread mengxr
Github user mengxr commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-48564963 Is there a reference implementation that you followed or this is all new? Does PMML standard define something similar? --- If your project is set up for it, you can reply

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-06-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-47060997 Merged build finished. All automated tests passed. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. I

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-06-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-47060999 All automated tests passed. Refer to this link for build results: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/16102/ --- If your project

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-06-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-47057495 Merged build triggered. --- 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 h

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-06-24 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request: https://github.com/apache/spark/pull/1207#issuecomment-47057501 Merged build started. --- 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

[GitHub] spark pull request: SPARK-2272 [MLlib] Feature scaling which stand...

2014-06-24 Thread dbtsai
GitHub user dbtsai opened a pull request: https://github.com/apache/spark/pull/1207 SPARK-2272 [MLlib] Feature scaling which standardizes the range of independent variables or features of data Feature scaling is a method used to standardize the range of independent variables or fea