You can write some code e.g. A custom estimator transformer in sparks namespace. http://stackoverflow.com/a/40785438/2587904 might help you get started. Be aware that using private e.g. Spark internal api might be subjected to change from release to release.
You definitely will require spark -mllib dependency. Currently for my usage I was not required to build a separate version of mllib. harini <philly.har...@gmail.com> schrieb am Do. 8. Dez. 2016 um 00:23: > I am new to development with spark, how do I do that? Can I write up a > custom > implementation under package org.apache.spark.ml.recommendation, and > specify > "spark-mllib" along with others as a library dependency? > > > > -- > View this message in context: > http://apache-spark-developers-list.1001551.n3.nabble.com/modifications-to-ALS-scala-tp20167p20169.html > Sent from the Apache Spark Developers List mailing list archive at > Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >
