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Posted to issues@spark.apache.org by "yuhao yang (JIRA)" <ji...@apache.org> on 2017/03/14 06:41:41 UTC
[jira] [Updated] (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 ]
yuhao yang updated SPARK-19939:
-------------------------------
Description:
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.
was:
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.
> 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.
> 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.
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