Thanks for the reply, I'd like to export the decision splits for each tree out to an external file which is read elsewhere not using spark. As far as I know, saving a model to a path will save a bunch of binary files which can be loaded back into spark. Is this correct? On Feb 10, 2016 7:21 PM, "Mohammed Guller" <moham...@glassbeam.com> wrote:
> Why not use the save method from the RandomForestModel class to save a > model at a specified path? > > > > Mohammed > > Author: Big Data Analytics with Spark > > > > > > -----Original Message----- > From: jluan [mailto:jaylu...@gmail.com] > Sent: Wednesday, February 10, 2016 5:57 PM > To: user@spark.apache.org > Subject: [MLLIB] Best way to extract RandomForest decision splits > > > > 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 > > >
