Hi All,
I am saving RandomForestClassifier model from sklearn library with code
below
with open('/tmp/rf.model', 'wb') as f: cPickle.dump(RF_model, f)
It takes a lot of space on my hard drive. There are only 50 trees in the
model, however it takes over 50 MB on disk (analyzed dataset is ~ 20MB,
with 21 features). Does anybody have idea why? I observe similar behavior
for ExtraTreesClassifier.
Best,
Piotr
------------------------------------------------------------------------------
Find and fix application performance issues faster with Applications Manager
Applications Manager provides deep performance insights into multiple tiers of
your business applications. It resolves application problems quickly and
reduces your MTTR. Get your free trial! http://pubads.g.doubleclick.net/
gampad/clk?id=1444514301&iu=/ca-pub-7940484522588532
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
