[jira] [Commented] (SPARK-16692) multilabel classification to DataFrame, ML

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-16692?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15390576#comment-15390576 ] 

Apache Spark commented on SPARK-16692:
--------------------------------------

User 'liwzhi' has created a pull request for this issue:
https://github.com/apache/spark/pull/14325

>  multilabel classification to DataFrame, ML
> -------------------------------------------
>
>                 Key: SPARK-16692
>                 URL: https://issues.apache.org/jira/browse/SPARK-16692
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>            Reporter: Weizhi Li
>            Priority: Minor
>   Original Estimate: 1h
>  Remaining Estimate: 1h
>
> For the multi labels evaluations. There is a method to in MLlib named MultilabelMetrics: A multilabel classification problem involves mapping each sample in a dataset to a set of class labels. In this type of classification problem, the labels are not mutually exclusive. For example, when classifying a set of news articles into topics, a single article might be both science and politics.
> Added this method to support DataFrame in ML. 



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