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Too less/many parameters: You supplied 15??? One or more output arguments not assigned during call to "mexClassRF_train". #2

Open GoogleCodeExporter opened 8 years ago

GoogleCodeExporter commented 8 years ago 
Basically, I just downloaded MacOS_precompile_WITHOUT_SOURCE_v0.02.tar and
I tried it. I copied mexClassRF_predict.mexmaci64 and
mexClassRF_train.mexmaci64 to the right position and I ran it. However, it
turned out the following message:

Too less/many parameters: You supplied 15??? One or more output arguments
not assigned during call to "mexClassRF_train".

Error in ==> classRF_train at 353

[nrnodes,ntree,xbestsplit,classwt,cutoff,treemap,nodestatus,nodeclass,bestvar,nd
bigtree,mtry
    ...  

I have not do anything change to this package. So, could anyone help me fix
this issue?

What version of the product are you using? On what operating system?
My MATLAB is R2009b(64-bit), MACi64 and my system is MAC OS X 10.6.2.

Thanks a lot

Original issue reported on code.google.com by wangjihe...@gmail.com on 16 Feb 2010 at 1:48

GoogleCodeExporter commented 8 years ago 
hello, thanks for sending the bug report

i don't have a mac machine currently to test this and will take me till the end 
of 
the week to get a hold of one. 

it will be great if you can post what arguments you were passing, so i can 
setup a 
dummy test. 

like, argument1: size NxD and type, you can get that via whos('argument1')

You can also put in a debug point at line 353 or classRF_Train.m and see if all 
of 
these variables are defined at that point. 
X',int32(Y_new),length(unique(Y)),ntree,mtry,int32(ncat),                       

int32(maxcat), int32(sampsize), strata, Options, int32(ipi),                    

classwt, cutoff, int32(nodesize),int32(nsum), int32(n_size), int32(p_size), 
int32(nsample)

if either one of them is non-existent, it will explain the error message.

I can suggest you compile and run the mex from the source rather than using the 
precompiled mex if you need results in the next few days.

Original comment by abhirana on 16 Feb 2010 at 2:11

GoogleCodeExporter commented 8 years ago 
I'm having the same problem; RF classification on the Mac does not work.  All 
variables exist and are defined when passed into mexClassRF_train() but I still 
get the error:

Too less/many parameters: You supplied 15??? One or more output arguments not 
assigned during call to "mexClassRF_train".

Error in ==> classRF_train at 347
    [nrnodes,ntree,xbestsplit,classwt,cutoff,treemap,nodestatus,nodeclass,bestvar,ndbigtree,mtry ...

Original comment by ken...@gmail.com on 3 Oct 2011 at 5:03

GoogleCodeExporter commented 8 years ago 
i am so sorry. i could never get access to a mac machine to compile the binary 
so uploaded a user-supplied binary.

these instructions may help you compile directly from the source 
http://code.google.com/p/randomforest-matlab/issues/detail?id=8

Original comment by abhirana on 6 Oct 2011 at 12:55