On Tue, Jan 08, 2013 at 05:14:52PM -0800, David Broyles wrote:
> 1) I've noticed the size of the pickled model is quite large (e.g. ~9GB).  A
> comparable model trained with R's randomForest package is only about 40 GB 
> (and
> randomForest defaults for tree complexity seem similar to scikit's).

Pickling with the standard Pythhon pickle is fairly size-inefficient. Are
you using joblib.dump for pickling, which should lead to more compact
storage?

Gaël

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