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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2019/06/13 13:02:00 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-16692?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen reassigned SPARK-16692:
---------------------------------

    Assignee: zhengruifeng

>  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
>            Assignee: zhengruifeng
>            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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