Hi Andy, IIRC MNIST is 60000 samples, each with dimension 28x28, so the 2GB limit doesn't seem unreasonable (especially since you don't have all of that at your disposal). Does the dataset fit in mem?
Brian -----Original Message----- From: Andreas <[email protected]> Date: Tue, 03 Jan 2012 09:00:47 To: <[email protected]> Reply-To: [email protected] Subject: Re: [Scikit-learn-general] Question and comments on RandomForests One other question: I tried to run a forest on MNIST, that actually consisted of only one tree. That gave me a memory error. I only have 2gb ram in this machine (this is my desktop at IST Austria !?) which is obviously not that much. Still this kind of surprised me. Is it expected that a tree takes this "much" ram? Should I change "min_density"? Thanks :) Andy ------------------------------------------------------------------------------ Write once. Port to many. Get the SDK and tools to simplify cross-platform app development. Create new or port existing apps to sell to consumers worldwide. Explore the Intel AppUpSM program developer opportunity. appdeveloper.intel.com/join http://p.sf.net/sfu/intel-appdev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Write once. Port to many. Get the SDK and tools to simplify cross-platform app development. Create new or port existing apps to sell to consumers worldwide. Explore the Intel AppUpSM program developer opportunity. appdeveloper.intel.com/join http://p.sf.net/sfu/intel-appdev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
