Hierarchical sampling of data? about randomforest-matlab HOT 3 OPEN

i am guessing that would be possible, but some c-code array would need to be 
changed.

i think the best approach would be to say sample and create inbag/outbag 
indices for the trees outside in the matlab and then make the tree sample 
according to that inbag/outbag indices. that way you can tear up the sampling 
away from the c-code.

i am guessing you want the inbag/outbag created as follows: assuming that each 
subject is a sample and then bootstrap sample from the subject array and then 
sample from each subject some samples to create some sort of hierarchical 
sampling. 

anyways, i think it can be doable.  i am not sure if you will be upto coding 
some C-code because i am a bit held up till the end of april so i may not be 
able to code it up before then

https://code.google.com/p/randomforest-matlab/source/browse/trunk/RF_Reg_C/src/r
eg_RF.cpp#386 
https://code.google.com/p/randomforest-matlab/source/browse/trunk/RF_Class_C/src
/classRF.cpp#404

i guess you can put options there use a predefined oob/inbag indices or use the 
existing path if that array is not present.

Yeah, what you said is exactly what I would want to do. Do you know if the 
stratified sampling accepts 0? If so you could make multiple calls to the C 
function and do a sort of hacky version of the sampling like you suggest. Other 
than that I am not sure of a way to modify the sampling from MATLAB, if I've 
missed something let me know cause that is definitely an option.

I am trying to avoid coding C, you may have noticed, I promise it's for good 
reasons ;)

i apologize for my late reply.

sorry it looks like the stratified sampling requires a non-zero value :(
hmm, looks like this will need some c coding.