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Posted to reviews@spark.apache.org by epahomov <gi...@git.apache.org> on 2014/09/12 17:07:04 UTC
[GitHub] spark pull request: [SPARK-3507] Adding RegressionLearner
GitHub user epahomov opened a pull request:
https://github.com/apache/spark/pull/2371
[SPARK-3507] Adding RegressionLearner
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/epahomov/spark SPARK-3507
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/2371.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2371
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commit 9827e9a6ad509f9b66b66534a4830e732663b038
Author: Egor Pakhomov <pa...@gmail.com>
Date: 2014-09-12T15:04:54Z
[SPARK-3507] Adding RegressionLearner
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[GitHub] spark pull request: [SPARK-3507] Adding RegressionLearner
Posted by epahomov <gi...@git.apache.org>.
Github user epahomov closed the pull request at:
https://github.com/apache/spark/pull/2371
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[GitHub] spark pull request: [SPARK-3507] Adding RegressionLearner
Posted by epahomov <gi...@git.apache.org>.
Github user epahomov commented on the pull request:
https://github.com/apache/spark/pull/2371#issuecomment-55416626
Purpose of this patch is set architecture for further RegressionLearner work and creating tests for regression algorithms.
This patch allow to parallelize:
* Creating new test cases for regression
* Creating new suites for measuring quality
* <b> Implementing regression testing of new algorithm in 3 lines of code. </b>
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[GitHub] spark pull request: [SPARK-3507] Adding RegressionLearner
Posted by SparkQA <gi...@git.apache.org>.
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/2371#issuecomment-55416052
Can one of the admins verify this patch?
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[GitHub] spark pull request: [SPARK-3507] Adding RegressionLearner
Posted by epahomov <gi...@git.apache.org>.
Github user epahomov commented on the pull request:
https://github.com/apache/spark/pull/2371#issuecomment-55565128
Closed, because currently there is similar work in Databricks
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