[ https://issues.apache.org/jira/browse/SPARK-11234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15026072#comment-15026072 ]
Xusen Yin commented on SPARK-11234: ----------------------------------- The most tough part is writing sumVectors - the SQL aggregation function - to aggregate the data, because I am not very familiar with the SQL component. But for me, the ML package is easy to use. We can mark the JIRA complete, thanks! > What's cooking classification > ----------------------------- > > Key: SPARK-11234 > URL: https://issues.apache.org/jira/browse/SPARK-11234 > Project: Spark > Issue Type: Sub-task > Components: ML > Reporter: Xusen Yin > Assignee: Xusen Yin > > I add the subtask to post the work on this dataset: > https://www.kaggle.com/c/whats-cooking -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org