[
https://issues.apache.org/jira/browse/SPARK-2222?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng resolved SPARK-2222.
----------------------------------
Resolution: Fixed
Fix Version/s: 1.1.0
Issue resolved by pull request 1155
[https://github.com/apache/spark/pull/1155]
> Add multiclass evaluation metrics
> ---------------------------------
>
> Key: SPARK-2222
> URL: https://issues.apache.org/jira/browse/SPARK-2222
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Affects Versions: 1.0.0
> Reporter: Alexander Ulanov
> Fix For: 1.1.0
>
>
> There is no class in Spark MLlib for measuring the performance of multiclass
> classifiers. This task involves adding such class and unit tests. The
> following measures are to be implemented: per class, micro averaged and
> weighted averaged Precision, Recall and F1-Measure.
--
This message was sent by Atlassian JIRA
(v6.2#6252)
