• Matlab Download For Mac 10.10

Libsvm in MATLAB for Mac OS X. Learn more about libsvm, mac. Installation of libsvm for Matlab R2012b on OS X 10.9 with Xcode 5.0 17 Dec 2013 SVM. Tutorials on installation of libsvm for matlab on mac.

Matlab Download For Mac 10.10

Installation of libsvm for Matlab R2012b on OS X 10.9 with Xcode 5.0 17 Dec 2013 Tutorials on installation of libsvm for matlab on mac could be fetched easily on the internet. However, most of them did not mention some problems that could be met during the installation. Therefore, I’d like to make a more comprehensive version of tutorial. My environment is like: Mac OS X 10.9 Xcode 5 Matlab R2012b Step 1.Preparation Of course, you have to download libsvm from its official site:. There is no versions specially for matlab, so, just download the package.

You could unzip the package to any directory you like, but I’d prefer to unzip it to (matlabroot)/toolbox/libsvm. Step 2.Make Compile After preparation, launch matlab and go to the directory you unzipped the files to. For me, it will be like: cd ( matlabroot ) cd toolbox / libsvm / matlab Now, we need to compile.

Just type the following command: make If everything goes right, just wait for a few seconds, it will be done and nothing will be displayed. You will find some files with the suffix.mexmaci64. Unfortunately, I went into trouble during the process. Step 3.Troubleshooting If anything goes wrong, try the following command first: mex - setup This one let you to choose a proper compiler. Depending on the environment, things like following will be prompted to the screen: The options files available for mex are: 1: / Applications / MATLAB_R2012b. App / bin / mexopts.

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Sh: Template Options file for building gcc MEX - files 0: Exit with no changes Enter the number of the compiler ( 0 - 1 ): 1%Notice, you should choose one according to your wish Overwrite / Users / Usr /. Matlab / R2012b / mexopts. Sh ([ y ]/ n )? Y After all this, try Step 2 again. If it doesn’t work, read on. Well, in fact, after typing make into the command line, I met the following error message: / Applications / MATLAB_R2012b.

App / bin / mex: line 305: gcc - 4.2: command not found / Applications / MATLAB_R2012b. App / bin / mex: line 1326: gcc - 4.2: command not found mex: compile of ' 'libsvmread.c' failed. M fails, please check README about detailed instructions. According to the MathWork, /Applications/MATLAB_R2011b.app/bin/mex: line 305: gcc-4.2: command not found This is happening because MATLAB is expecting GCC 4.2 to be present. This compiler was distributed with Xcode 4.0 and 4.1, but is no longer supplied as of Xcode 4.2. However, Xcode 4.2 and later include a similar compiler (GCC 4.2 front-end to LLVM) that MATLAB can be instructed to use instead.

Applying the patch attached to this solution will instruct MATLAB to use the compiler supplied with Xcode 4.2 or later. And you should find the patch and its installation instructions here: You may notice that in the support article above, it is said that the solution is only for Xcode 4.2~2.4 with OS X 10.6~10.8. But, in fact, even if you are in OS X 10.9 with Xcode 5, the problem is aroused for the same reason and the solution should be the same. Therefore, don’t worry if you are not in the environment mentioned in the article above. Meanwhile, there is another issue mentioned in the article that you may encounter during the installation process. >> load heart_scale >> model = svmtrain ( heart_scale_label, heart_scale_inst, '-c 1 -g 0.07' ); * optimization finished, # iter = 134 nu = 0.433785 obj = - 101.855060, rho = 0.426412 nSV = 130, nBSV = 107 Total nSV = 130 >> [ predict_label, accuracy, dec_values ] = svmpredict ( heart_scale_label, heart_scale_inst, model ); Accuracy = 86.6667% (234/270) (classification) If your output match the output above, then congratulations, you could use the libsvm now. Some Further Info If you succeed the step 4, you could use libsvm.