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From "Patrick Wendell (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-7015) Multiclass to Binary Reduction
Date Wed, 13 May 2015 01:18:02 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Patrick Wendell resolved SPARK-7015.
------------------------------------
    Resolution: Fixed

> Multiclass to Binary Reduction
> ------------------------------
>
>                 Key: SPARK-7015
>                 URL: https://issues.apache.org/jira/browse/SPARK-7015
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Ram Sriharsha
>            Assignee: Ram Sriharsha
>             Fix For: 1.4.0
>
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> With the new Pipeline API, it is possible to seamlessly support machine learning reductions
as meta algorithms.
> GBDT and SVM today are binary classifiers and we can implement multi class classification
as a One vs All, or All vs All (or even more sophisticated reduction) using binary classifiers
as primitives.
> This JIRA is to track the creation of a reduction API for multi class classification.



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