将spark的MLLib例程与pandas数据帧一起使用

I have a pretty big data set (~20GB) stored on disk as Pandas/PyTables HDFStore, and I want to run random forests and boosted trees on it. Trying to do it on my local system takes forever, so I was thinking of farming it out to a spark cluster I have access to and instead using MLLib routines. I have a pretty big data set (~20GB) stored on