how to transform output SVM into probability?

I worked on the problem of handwritten recognition images. For this, I use support vector machines as a classifier . the matrix score shows an example of the scores returned by svm for 5 samples. the number of classes is also 5. I want to transform this matrix into probabilities.

 score=[ 0,2590 -0,6033 -1,1350 -1,2347 -0,9776
      -1,4727   -0,2136 -0,9649  0,1480 -1,4761
      -0,9637   -0,8662  0,0674 -1,0051 -1,1293
      -2,1230   -0,8805 -0,9808 -0,0520 -0,0836
      -1,6976   -1,1578 -0,9205 -1,1101  1,0796]

Please, I need help, there is any suggestion how to transform the output of this svm into probabilities? and if possible any implementation in matlab.

I await your answers and thank you in advance

Answer 1

[Ilya]

If you have the Statistics and Machine Learning Toolbox in a sufficiently recent MATLAB release, use the fitcecoc function and pass 'FitPosterior' as true.