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Posted to issues@spark.apache.org by "Nick Pentreath (JIRA)" <ji...@apache.org> on 2017/02/24 07:16:44 UTC

[jira] [Closed] (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:all-tabpanel ]

Nick Pentreath closed SPARK-3246.
---------------------------------
    Resolution: Won't Fix

> 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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