Hi, I have a simple DecisionForest model and was able to train the model on pyspark==2.4.4 without any issues. However, when I upgraded to pyspark==3.0.2, the fit takes a lot of time and eventually errors out saying out of memory. Even tried reducing the number of samples for training but no luck. Can anyone help with this?
Best, Praneeth -- Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
