I've trained a RandomForest classifier where I can print my model's decisions using model.toDebugString
However I was wondering if there's a way to extract tree programmatically by traversing the nodes or in some other way such that I can write my own decision file rather than just a debug string. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/MLLIB-Best-way-to-extract-RandomForest-decision-splits-tp26201.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
