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https://issues.apache.org/jira/browse/SPARK-20418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16102280#comment-16102280
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Weichen Xu commented on SPARK-20418:
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I will work on this.
> 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
>
> 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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