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From "Mohamed Baddar (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3246) Support weighted SVMWithSGD for classification of unbalanced dataset
Date Sun, 24 Jul 2016 15:07:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-3246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15391082#comment-15391082
] 

Mohamed Baddar commented on SPARK-3246:
---------------------------------------

[~sheridanrawlins] Working on it soon, most probably on 1st of August

> 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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