Comments (4)
hi there
sorry for my late reply.
oh, i will look into it. someone did give me a patch for making it run on
octave a while back. let me give it a try and write back. feel free to bug me
if i don't get back to you within a week or so.
thanks
Original comment by abhirana
on 24 Oct 2012 at 1:58
- Changed state: Started
from randomforest-matlab.
hi @sgzhaohang
i was able to compile and run octave, but octave seems to behave badly with the
generated mex files. classification runs sometimes, regression just hangs if
training is done multiple times
let me see if i can port it to octave.
Original comment by abhirana
on 5 Nov 2012 at 5:46
from randomforest-matlab.
Hello,
Thank you for making this package available. What is the status of the port to
octave?
Original comment by [email protected]
on 21 Apr 2013 at 2:23
from randomforest-matlab.
Hi
i was able to make classification work (code in the svn) but regression is
still causing issues with octave (multiple runs cause a hang).
you will need to run make octave to generate the octave mex files and then you
should be able to run the tutorial files
Original comment by abhirana
on 25 Apr 2013 at 12:33
from randomforest-matlab.
Related Issues (20)
- is muliple classification possible? HOT 10
- weak learner HOT 1
- Compiling on Mac Lion HOT 6
- Compiled mexmaci64 for OSX 10.8.2 (Mountain Lion) HOT 2
- about the unbalanced data HOT 32
- Segmentation violation problem HOT 2
- Hierarchical sampling of data? HOT 3
- memory leak in HOT 1
- probability of classes for highly skewed dataset HOT 2
- Feature Normalization HOT 1
- sampsize problem
- score values from random forest HOT 1
- MATLAB crashes after tens of thousands runs !! HOT 3
- Compilation Problems with Matlab 2014a on Mac HOT 7
- How to get individual tree predictions for regression HOT 2
- use library (gcc) in matlab and error with compile of mex HOT 1
- NaN data HOT 4
- multivariate label output in regression analysis
- Matlab (randomly) crash after a number of runs HOT 3
- Directions for Bagging Regression HOT 1
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