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Xiangrui Meng commented on SPARK-4001: -------------------------------------- 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 -- 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