Hello all,
I am attempting to train a random forest where each tree is fitted on a
subsample of the training data. However, I'm running into memory bloating when
fitting the trees manually.
Here is an example of the memory differences (profiled with memory_profiler)
between normal random forest fit and the means by which I'm fitting the
individual trees: http://pastebin.com/RRtLxqG8
As far as I can tell I'm performing effectively the same operations as the
random forest source, yet my custom fitting bloats. Should I be doing something
different in the manual fittings?
-Matt Hancock
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