[jira] [Updated] (SPARK-20418) multi-label classification support

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-20418:
---------------------------------
    Labels: bulk-closed  (was: )

> multi-label classification support
> ----------------------------------
>
>                 Key: SPARK-20418
>                 URL: https://issues.apache.org/jira/browse/SPARK-20418
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 2.1.0
>            Reporter: yu peng
>            Priority: Major
>              Labels: bulk-closed
>
> add multi-label label point and make a binary relevance based classifier holder.
> http://scikit-learn.org/dev/modules/generated/sklearn.multioutput.MultiOutputClassifier.html#sklearn.multioutput.MultiOutputClassifier
> ```
> X = [ [ 0, 1, 0], [1, 0, 1]] 
> y = [[1], [1, 2]]
> df = sql.CreateDataframe(zip(X, y), ['x', 'y'])
> mlp_clf = MultiOutputClassifier(LogisticRegression).setFeature('X').setLabel('y')
> mlp_clf.fit(df)
> ```



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