When I train a GBTRegressor model from a DataFrame in the latest 1.6.4-Snapshot, with a high number for the hyper-parameter maxIter, say 500, we have java.lang.StackOverflowError; GBTRegressor does work with maxIter set about 100.
Does this make sense? Are there any known solutions? This is running in within executors with 18G of RAM each; I'm not clear how to debug this short of somehow getting more JVM Heap perhaps. Thanks!
