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From liwzhi <...@git.apache.org>
Subject [GitHub] spark pull request #14325: [SPARK-16692] [ML] Add multi label classification...
Date Sat, 23 Jul 2016 06:38:25 GMT
GitHub user liwzhi opened a pull request:

    https://github.com/apache/spark/pull/14325

    [SPARK-16692] [ML] Add multi label classification evaluator, DataFrame

    
    Add the multi label classification evaluator to DataFrame, ML
    
    Also add the multilabelClassifcationSuite.scala unite test. 
    
    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.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/liwzhi/spark multiLablesEvaluate

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/14325.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #14325
    
----
commit 5efc2c7b1e6566896f1c99b9a8e2ae3603b6abc5
Author: Weizhi Li <weizhi.li@ussuning.com>
Date:   2016-07-23T05:43:22Z

    Add multilevel class-action evaluator to ML

----


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