[
https://issues.apache.org/jira/browse/SPARK-8855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15051971#comment-15051971
]
Caique Rodrigues Marques commented on SPARK-8855:
-------------------------------------------------
Thanks for the reply.
I got to return a RDD rule from frequent data (as you can see
[here|https://github.com/mrcaique/spark/commit/c241195b2e9e19db8376a7d36661be0700dcd6d6]).
That's all or is required an implementation to create an RDD rule from a custom
RDD like [this
example|https://github.com/apache/spark/blob/d83c2f9f0b08d6d5d369d9fae04cdb15448e7f0d/examples/src/main/scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala#L35-L49]?
Here was my main doubt as I said before.
> Python API for Association Rules
> --------------------------------
>
> Key: SPARK-8855
> URL: https://issues.apache.org/jira/browse/SPARK-8855
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Feynman Liang
> Priority: Minor
>
> A simple Python wrapper and doctests needs to be written for Association
> Rules. The relevant method is {{FPGrowthModel.generateAssociationRules}}. The
> code will likely live in {{fpm.py}}
--
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
