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GoogleCodeExporter avatar GoogleCodeExporter commented on May 30, 2024
Take a look into the twonorm_C_wrapper example 
http://code.google.com/p/randomforest-
matlab/source/browse/trunk/RF_Class_C/src/twonorm_C_wrapper.cpp

Do realize that the only way to avoid reasonably the out of memory is to use a 
64-bit 
OS.

Matlab and C with the same program data will have a difference of about 200MB 
at the 
most. matlab -nojvm on the command prompt will allow you to get more memory 
compared 
to with the gui

Only with 64-bit OS you can go with program sizes greater than 2.3GB or so. To 
give 
an example, i sometimes run datasets of size 10000x10000 and more than 1000 
trees 
routinely without problems on 64-bit linux.

Original comment by abhirana on 17 Mar 2010 at 6:22

from randomforest-matlab.

GoogleCodeExporter avatar GoogleCodeExporter commented on May 30, 2024

Original comment by abhirana on 31 Mar 2012 at 8:37

  • Changed state: Done

from randomforest-matlab.

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