title: Parameters for Support Vector Regression using LibSVM in Matlab
body: <p>I am trying to use LibSVM for regression. I am trying to detect faces (10 classes of different faces). I labeled 1-10 as face class and 11 is for non face. I want to develop a script usig LibSVM which will give me a continuous score between 0-1 if the test image falls to any of the 10 face class, otherwise it will give me -1 (non-face). From this score, I can be able to predict my calss. If the test image is matched with 1st class, the score should be around .1. Similarly if the test image is matched with class 10, the score should be around 1 (any continuous value close to 1). I am trying to use SVR using LibSVM to solve this problem. I can easily get the predicted class through classification. But I want a continuous score value which I can get through regression. Now, I was looking in the net for the function or parameters in function for SVR using LibSVM, but I couldn't find anything. Can anybody please help me in this regard? </p>