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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/01/19 16:17:34 UTC
[jira] [Commented] (SPARK-2222) Add multiclass evaluation metrics
[ https://issues.apache.org/jira/browse/SPARK-2222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14282592#comment-14282592 ]
Apache Spark commented on SPARK-2222:
-------------------------------------
User 'avulanov' has created a pull request for this issue:
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
> Assignee: 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.
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