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https://issues.apache.org/jira/browse/MADLIB-777?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Frank McQuillan closed MADLIB-777.
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Resolution: Fixed
Resolved by writing new SVM for scratch for v1.9
Closing this JIRA.
> SVM Regression produces different predictions on multiple runs of the same
> training and test sets.
> --------------------------------------------------------------------------------------------------
>
> Key: MADLIB-777
> URL: https://issues.apache.org/jira/browse/MADLIB-777
> Project: Apache MADlib
> Issue Type: Bug
> Reporter: Srivatsan
> Assignee: Rahul Iyer
> Priority: Critical
> Fix For: v1.9
>
>
> I tested this on MADlib 0.7 but I am not sure if this is version specific.
> Attaching the training & test tables (combo_svm_train.sql and
> combo_svm_dev.sql) and the SQL file to train MADlib's SVM Regression and to
> predict using the trained model on the dev set.
> Each time you run the training & prediction, you get wildly different
> prediction results (the R^2 varies between -0.50 to 0.50 in the several
> attempts that I ran the model).
> Not sure if this is expected behavior or if there is an error I've
> overlooked. If it is the expected behavior, the models are unusable unless I
> train the multiple models in parallel and use some sort of voting to minimize
> the variation. But this seems serious otherwise.
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