[jira] [Comment Edited] (MADLIB-955) SVM - performance testing

["Xiaocheng Tang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/MADLIB-955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15196269#comment-15196269 ] 

Xiaocheng Tang edited comment on MADLIB-955 at 3/15/16 9:14 PM:
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# Testing environment
bq. Pivotal Data Computing Appliance (DCA) half-rack for GPDB 4.2.7.1 and a DCA half-rack for HAWQ 1.2.1.0 with 8 nodes and 6 segments per node.
# Results ([attached|https://issues.apache.org/jira/secure/attachment/12793637/Benchmarking%20Param%20Design%20Doc%20-%20SVM.pdf])


was (Author: xctang):
# Testing environment
bq. Pivotal Data Computing Appliance (DCA) half-rack for GPDB 4.2.7.1 and a DCA half-rack for HAWQ 1.2.1.0 with 8 nodes and 6 segments per node.
# Results ([attached|https://issues.apache.org/jira/secure/attachment/12793635/svm_test_results.pdf])

> SVM - performance testing
> -------------------------
>
>                 Key: MADLIB-955
>                 URL: https://issues.apache.org/jira/browse/MADLIB-955
>             Project: Apache MADlib
>          Issue Type: Task
>          Components: Module: Support Vector Machines
>            Reporter: Frank McQuillan
>            Assignee: Xiaocheng Tang
>             Fix For: v1.9
>
>         Attachments: Benchmarking Param Design Doc - SVM.pdf
>
>
> Story
> As a MADlib developer, I want to run scale performance testing SVM algorithm for:
> * linear
> * Gaussian kernel
> * polynomial kernel
> Test matrix TBD



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