Clustering users according to their shopping traits

Sorry for off-topic, have not foud specific MLLib forum/ Please, advise a good overview of using clustering algorithms to group users according to user purchase and browsing history on a web site. Thanks!

Re: Spark 1.3.0: Running Pi example on YARN fails

. -Dhdp.version=2.2.0.0–2041 Please let me know whether it works or not. Thanks. Zhan Zhang On Apr 10, 2015, at 7:21 AM, Zork Sail zorks...@gmail.com wrote: Many thanks. Yet even after setting: spark.driver.extraJavaOptions -Dhdp.version=2.2.0.0–2041 spark.yarn.am.extraJavaOptions

Spark 1.3.0: Running Pi example on YARN fails

I have `Hadoop 2.6.0.2.2.0.0-2041` with `Hive 0.14.0.2.2.0.0-2041 ` After building Spark with command: mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.6.0 -Phive -Phive-thriftserver -DskipTests package I try to run Pi example on YARN with the following command: export

MLib: How to set preferences for ALS implicit feedback in Collaborative Filtering?

I am trying to use Spark MLib ALS with implicit feedback for collaborative filtering. Input data has only two fields `userId` and `productId`. I have **no product ratings**, just info on what products users have bought, that's all. So to train ALS I use: def trainImplicit(ratings: