Hi, I'm new to GraphX and I'd like to use Machine Learning algorithms on top of it. I wanted to write a simple program implementing MLlib's ALS on a bipartite graph (a simple movie recommendation), but didn't succeed. I found an implementation on Spark 1.1.x (https://github.com/ankurdave/spark/blob/GraphXALS/graphx/src/main/scala/org/apache/spark/graphx/lib/ALS.scala) of ALS on GraphX, but it is painfully slow compared to the standard implementation, and uses the deprecated (in the current version) PregelVertex class. Do we expect a new implementation ? Is there a smarter solution to do so ?
Thanks, Regards, Timothée Rebours. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Machine-Learning-on-GraphX-tp23388.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
