What about putting a custom als implementation into sparks name space? harini <philly.har...@gmail.com> schrieb am Do. 8. Dez. 2016 um 00:01:
> Hi all, I am trying to implement ALS with a slightly modified objective > function, which will require minor changes to fit -> train -> > computeFactors within ALS.scala > <https://github.com/apache/spark/blob/v1.6.2/mllib/src/main/scala/org/apache/spark/ml/recommendation/ALS.scala> > - Is there a way to do this without having to build spark in its entirety? > ------------------------------ > View this message in context: modifications to ALS.scala > <http://apache-spark-developers-list.1001551.n3.nabble.com/modifications-to-ALS-scala-tp20167.html> > Sent from the Apache Spark Developers List mailing list archive > <http://apache-spark-developers-list.1001551.n3.nabble.com/> at > Nabble.com. >
