For a single decision tree, the closest I can think of is printDebugString, which gives you a text representation of the decision thresholds and paths down the tree.
I don't think there's anything in MLlib for visualizing GBTs or random forests On Tue, Aug 25, 2015 at 9:20 PM, Jatinpreet Singh <jatinpr...@gmail.com> wrote: > Hi Feynman, > > Thanks for the information. Is there a way to depict decision tree as a > visualization for large amounts of data using any other technique/library? > > Thanks, > Jatin > > On Tue, Aug 25, 2015 at 11:42 PM, Feynman Liang <fli...@databricks.com> > wrote: > >> Nothing is in JIRA >> <https://issues.apache.org/jira/issues/?jql=project%20%3D%20SPARK%20AND%20text%20~%20%22CHAID%22> >> so AFAIK no, only random forests and GBTs using entropy or GINI for >> information gain is supported. >> >> On Tue, Aug 25, 2015 at 9:39 AM, jatinpreet <jatinpr...@gmail.com> wrote: >> >>> Hi, >>> >>> I wish to know if MLlib supports CHAID regression and classifcation >>> trees. >>> If yes, how can I build them in spark? >>> >>> Thanks, >>> Jatin >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/CHAID-Decision-Trees-tp24449.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 >>> >>> >> > > > -- > Regards, > Jatinpreet Singh >
