r - H2O Random Forest Hangs on Completion -


i'm training random forest using h2o , r on large (~6 million) row dataset , ~50 output levels. despite progress bar hitting 100% console (and processor!) still busy , hangs on hour (so far!). not resource limitations, have 120gb of ram , couple of dozen cores.

hard give reproducible example given nature of issue there 35 variables, half of factors, i'm running model training through r following options:

rforest <- h2o.randomforest(y = y.var                           , x = x.vars                           , training_frame = traindata.h2o                           , validation_frame = testdata.h2o                           , ntrees = 100                           , stopping_rounds = 3                           , seed = 42                           , model_id = modcode                           , mtries = -1)

has encountered similar issue/has explanation/knows workaround, please?


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