Guys any insight on the below? ---------- Forwarded message ---------- From: Aakash Basu <aakash.spark....@gmail.com> Date: Sat, May 19, 2018 at 12:21 PM Subject: XGBoost on PySpark To: user <user@spark.apache.org>
Hi guys, I need help in implementing XG-Boost in PySpark. As per the conversation in a popular thread regarding XGB goes, it is available in Scala and Java versions but not Python. But, we've to implement a pythonic distributed solution (on Spark) maybe using DMLC or similar, to go ahead with XGB solutioning. Anybody implemented the same? If yes, please share some insight on how to go about it. Thanks, Aakash.
