spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Ram Sriharsha (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-7690) MulticlassClassificationEvaluator for tuning Multiclass Classifiers
Date Fri, 17 Jul 2015 22:26:05 GMT

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

Ram Sriharsha updated SPARK-7690:
---------------------------------
    Shepherd: 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)



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message