You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:14:20 UTC
[jira] [Resolved] (SPARK-19939) Add support for association rules
in ML
[ https://issues.apache.org/jira/browse/SPARK-19939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-19939.
----------------------------------
Resolution: Incomplete
> 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
> Priority: Major
> Labels: bulk-closed
>
> 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.
> Update:
> Another property for association rule is [Lift|https://en.wikipedia.org/wiki/Lift_(data_mining)], but I'm not sure if it's popular enough. Please comment below if you find Lift useful.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org