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Posted to issues@spark.apache.org by "Mohamed Baddar (JIRA)" <ji...@apache.org> on 2016/03/15 13:51:33 UTC
[jira] [Commented] (SPARK-3246) Support weighted SVMWithSGD for
classification of unbalanced dataset
[ https://issues.apache.org/jira/browse/SPARK-3246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15195242#comment-15195242 ]
Mohamed Baddar commented on SPARK-3246:
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[~josephkb] If nobody working on that issue and it is still of interest , I can work on it
> Support weighted SVMWithSGD for classification of unbalanced dataset
> --------------------------------------------------------------------
>
> Key: SPARK-3246
> URL: https://issues.apache.org/jira/browse/SPARK-3246
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 0.9.0, 1.0.2
> Reporter: mahesh bhole
>
> Please support weighted SVMWithSGD for binary classification of unbalanced dataset.Though other options like undersampling or oversampling can be used,It will be good if we can have a way to assign weights to minority class.
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