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https://issues.apache.org/jira/browse/SPARK-4001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14177801#comment-14177801
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Xiangrui Meng commented on SPARK-4001:
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Thanks [~srowen]! That's helpful! I searched on Google and found some
discussion in scikit-learn:
1. https://github.com/scikit-learn/scikit-learn/issues/2662
2. https://github.com/scikit-learn/scikit-learn/issues/2872
They didn't accept the patch for couple reasons: a) relevance, b) integration
with other components.
[~jackylk] Could you comment on the real use cases that you are aware of and
the complexity of the algorithm?
> Add Apriori algorithm to Spark MLlib
> ------------------------------------
>
> Key: SPARK-4001
> URL: https://issues.apache.org/jira/browse/SPARK-4001
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Jacky Li
> Assignee: Jacky Li
>
> Apriori is the classic algorithm for frequent item set mining in a
> transactional data set. It will be useful if Apriori algorithm is added to
> MLLib in Spark
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