Hi Yanbo, Unfortunately, I cannot share the data. I am using the code in the tutorial
https://spark.apache.org/docs/latest/mllib-frequent-pattern-mining.html Did you ever try run it when there are hundreds of millions of co-purchases of at least two products? I suspect AR does not handle that very well. Thank you, From: Yanbo Liang <yblia...@gmail.com<mailto:yblia...@gmail.com>> Date: Saturday, 2 January 2016 09:03 To: Roberto Pagliari <roberto.pagli...@asos.com<mailto:roberto.pagli...@asos.com>> Cc: "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: frequent itemsets Hi Roberto, Could you share your code snippet that others can help to diagnose your problems? 2016-01-02 7:51 GMT+08:00 Roberto Pagliari <roberto.pagli...@asos.com<mailto:roberto.pagli...@asos.com>>: When using the frequent itemsets APIs, I'm running into stackOverflow exception whenever there are too many combinations to deal with and/or too many transactions and/or too many items. Does anyone know how many transactions/items these APIs can deal with? Thank you ,
