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

Posted to issues@spark.apache.org by "Renat Bekbolatov (JIRA)" <ji...@apache.org> on 2015/05/05 20:04:01 UTC

[jira] [Created] (SPARK-7372) Multiclass SVM - One vs All wrapper

Renat Bekbolatov created SPARK-7372:
---------------------------------------

             Summary: Multiclass SVM - One vs All wrapper
                 Key: SPARK-7372
                 URL: https://issues.apache.org/jira/browse/SPARK-7372
             Project: Spark
          Issue Type: Question
          Components: MLlib
            Reporter: Renat Bekbolatov
            Priority: Trivial


I was wondering if we want to have a some support for multiclass SVM in MLlib, for example, through a simple wrapper over binary SVM classifiers with OVA.

There is already WIP for ML pipeline generalization: SparkSPARK-7015, Multiclass to Binary Reduction

However, if users prefer to just have basic OVA version that runs against SVMWithSGD, they might be able to use it.

Here is a code sketch: https://github.com/Bekbolatov/spark/commit/463d73323d5f08669d5ae85dc9791b036637c966

Maybe this could live in a 3rd party utility library (outside Spark MLlib).




--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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