Having used Matlab for machine learning work, I often face this problem. Typically while working with some classifier like "TreeBagger", the "eval()" function for computing labels of test data returns a cell array where each element is '1' or '-1'. The problem is that my original labels were numeric {1,-1}, so comparing these become a big problem especially if one is interested in things beyond accuracy.
Here is a simple technique to convert this cell array to a matrix. Say the original cell array is:
Here is a simple technique to convert this cell array to a matrix. Say the original cell array is:
cellArr={'-1'; '-2'; '3' ;'6' ;'5'};Now to convert this into a numeric array, all you have to do is:
mat=cellfun(@str2num,cellArr);This calls the function str2num for each element of the cell array and returns the resultant matrix in numeric format.
A fellow IISc-ian pointed out cell2mat() for doing the same ... here's a discussion why the method outlined here works in more general cases ... https://profiles.google.com/bigyan.techie/posts/BKPCK8EGGNj#bigyan.techie/posts/BKPCK8EGGNj
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