[jira] [Resolved] (SPARK-15938) Adding "support" property to MLlib Association Rule

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-15938.
-------------------------------
    Resolution: Won't Fix

See https://issues.apache.org/jira/browse/SPARK-19939

> Adding "support" property to MLlib Association Rule
> ---------------------------------------------------
>
>                 Key: SPARK-15938
>                 URL: https://issues.apache.org/jira/browse/SPARK-15938
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: yuhao yang
>            Priority: Minor
>
> _Support_ is an indication of how frequently the item-set appears in the database. Besides confidence, "Support" is another critical property for Association rule. 
> References: 
> https://en.wikipedia.org/wiki/Association_rule_learning
> http://www.philippe-fournier-viger.com/spmf/index.php?link=documentation.php#allassociationrules
> https://www-users.cs.umn.edu/~kumar/dmbook/ch6.pdf
> _Support_ can be either the count of appearances or the fraction within the dataset. I choose to use the count as:
> 1. API compatibility: Currently both FPGrowthModel and Association Rule does not have the information about size of the dataset. I'd try to avoid breaking a list of public APIs.
> 2. This also refers to the API of SPMF. http://www.philippe-fournier-viger.com/spmf/index.php?link=documentation.php#allassociationrules.
> In the next steps, we could add constraint like minSupport as in other libraries. FPGrowthModel should also contains the size of the dataset. 



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