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https://issues.apache.org/jira/browse/SPARK-2341?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14049755#comment-14049755
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Eustache commented on SPARK-2341:
---------------------------------

I see that LabelParser with multiclass=true works for the regression
setting.

What I fail to understand is how it is related to multiclass ? Is the
naming proper ?

In any case shouldn't we provide a naming that explicitly mentions
regression ?






> loadLibSVMFile doesn't handle regression datasets
> -------------------------------------------------
>
>                 Key: SPARK-2341
>                 URL: https://issues.apache.org/jira/browse/SPARK-2341
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.0.0
>            Reporter: Eustache
>            Priority: Minor
>              Labels: easyfix
>
> Many datasets exist in LibSVM format for regression tasks [1] but currently 
> the loadLibSVMFile primitive doesn't handle regression datasets.
> More precisely, the LabelParser is either a MulticlassLabelParser or a 
> BinaryLabelParser. What happens then is that the file is loaded but in 
> multiclass mode : each target value is interpreted as a class name !
> The fix would be to write a RegressionLabelParser which converts target 
> values to Double and plug it into the loadLibSVMFile routine.
> [1] http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/regression.html 



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