Sure, I'm looking to perform frequent item set analysis on POS data set. Apriori is a classic algorithm used for such tasks. Since Apriori implementation is not part of MLLib yet, (see https://issues.apache.org/jira/browse/SPARK-4001) What are some other options/algorithms I could use to perform a similar task? If there's no spoon to spoon substitute, spoon to fork will suffice too.
Hopefully this provides some clarification. Thanks, Rohit From: Tobias Pfeiffer <t...@preferred.jp<mailto:t...@preferred.jp>> Date: Thursday, December 4, 2014 at 7:20 PM To: Rohit Pujari <rpuj...@hortonworks.com<mailto:rpuj...@hortonworks.com>> Cc: "user@spark.apache.org<mailto:user@spark.apache.org>" <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Re: Market Basket Analysis Hi, On Thu, Dec 4, 2014 at 11:58 PM, Rohit Pujari <rpuj...@hortonworks.com<mailto:rpuj...@hortonworks.com>> wrote: I'd like to do market basket analysis using spark, what're my options? To do it or not to do it ;-) Seriously, could you elaborate a bit on what you want to know? Tobias CONFIDENTIALITY NOTICE NOTICE: This message is intended for the use of the individual or entity to which it is addressed and may contain information that is confidential, privileged and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, you are hereby notified that any printing, copying, dissemination, distribution, disclosure or forwarding of this communication is strictly prohibited. If you have received this communication in error, please contact the sender immediately and delete it from your system. Thank You.
