[jira] [Commented] (SPARK-19939) Add support for association rules in ML

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-19939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15922676#comment-15922676 ] 

Apache Spark commented on SPARK-19939:
--------------------------------------

User 'hhbyyh' has created a pull request for this issue:
https://github.com/apache/spark/pull/17280

> Add support for association rules in ML
> ---------------------------------------
>
>                 Key: SPARK-19939
>                 URL: https://issues.apache.org/jira/browse/SPARK-19939
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: yuhao yang
>
> Adding another essential characteristic for the Association Rule in Spark ml.fpm.
> Support is an indication of how frequently the itemset of an association rule appears in the database and suggests if the rules are generally applicable to the dateset. refer to [https://en.wikipedia.org/wiki/Association_rule_learning] for more details.
> Before adding support:
> | rules | confidence |
> | beer -> soda | 0.5 |
> | pecan -> milk | 0.6 |
> After adding support: 
> | rules | confidence | support |
> | beer -> soda | 0.5 | 0.3 |
> | pecan -> milk | 0.6 | 0.01 |
> Thus to allow a better understanding for the generated association rules.



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