You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/12/03 15:50:12 UTC

[jira] [Commented] (SPARK-4001) Add Apriori algorithm to Spark MLlib

    [ https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14233067#comment-14233067 ] 

Xiangrui Meng commented on SPARK-4001:
--------------------------------------

[~jackylk] Could you share some performance testing results?

> Add Apriori algorithm to Spark MLlib
> ------------------------------------
>
>                 Key: SPARK-4001
>                 URL: https://issues.apache.org/jira/browse/SPARK-4001
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Jacky Li
>            Assignee: Jacky Li
>
> Apriori is the classic algorithm for frequent item set mining in a transactional data set.  It will be useful if Apriori algorithm is added to MLLib in Spark



--
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