1) Start by looking at ML-lib or KeystoneML 2) If you can't find an impl., start by analyzing the access patterns and data manipulations you will need to implement.
3) Then figure out if it fits Spark structures.. and when you realized it doesn't you start speculating on how you can twist or strong-arm it to fit :) 4) You skipped 2) didn't you.. ok so do that now and go back to 3). -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-and-simulated-annealing-tp25507p25513.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
