Hi,
I guess, the double values are number of visits rather than a visit flag (obviously it should be more useful than visit flag i.e 1/0) this is based on the assumption that while doing matrix factorisation, rating trained using implicit cannot be binary, as it gives poor feature values. In turn poor prediction. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLlib-inconsistent-documentation-tp24742p24767.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
