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Posted to issues@spark.apache.org by "Ram Sriharsha (JIRA)" <ji...@apache.org> on 2015/07/18 00:25:05 UTC

[jira] [Updated] (SPARK-7690) MulticlassClassificationEvaluator for tuning Multiclass Classifiers

     [ https://issues.apache.org/jira/browse/SPARK-7690?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ram Sriharsha updated SPARK-7690:
---------------------------------
    Assignee: Eron Wright   (was: Ram Sriharsha)

> MulticlassClassificationEvaluator for tuning Multiclass Classifiers
> -------------------------------------------------------------------
>
>                 Key: SPARK-7690
>                 URL: https://issues.apache.org/jira/browse/SPARK-7690
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Ram Sriharsha
>            Assignee: Eron Wright 
>
> Provide a MulticlassClassificationEvaluator with weighted F1-score to tune multiclass classifiers using Pipeline API.
> MLLib already provides a MulticlassMetrics functionality which can be wrapped around a MulticlassClassificationEvaluator to expose weighted F1-score as metric.
> The functionality could be similar to scikit(http://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html)  in that we can support micro, macro and weighted versions of the F1-score (with weighted being default)



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