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Posted to issues@spark.apache.org by "Ram Sriharsha (JIRA)" <ji...@apache.org> on 2015/05/17 20:08:59 UTC

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

Ram Sriharsha created SPARK-7690:
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             Summary: 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


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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