You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "mahesh bhole (JIRA)" <ji...@apache.org> on 2014/08/27 08:47:58 UTC

[jira] [Created] (SPARK-3246) Support weighted SVMWithSGD for classification of unbalanced dataset

mahesh bhole created SPARK-3246:
-----------------------------------

             Summary: 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
    Affects Versions: 1.0.2, 0.9.0
            Reporter: mahesh bhole
            Priority: Minor


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. 



--
This message was sent by Atlassian JIRA
(v6.2#6252)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org