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<div>Not sure if I’m addressing the best list for this question, so if there’s a more appropriate list, please direct me to it.</div>
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<div>I want to run a large sklearn.ensemble.RandomForestClassifier (with maybe a dozens or maybe hundreds of trees and 100,000 samples). My desktop won’t handle this so I want to try using StarCluster. RandomForestClassifier seems to parallelize easily, but
I don’t know how I would split it across many IPython.parallel engines (if that’s even possible). (Or maybe I should be foregoing IPython.parallel and using MPI?)</div>
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<div>Any help would be greatly appreciated.</div>
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<div>Thanks,</div>
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