I need to get the posterior probabilities output of trained SVM instead of the binarized output. In the latest versions of Matlab, this can be done by the following steps:
SVMModel = fitcsvm(trainingInput,trainingTarget);
SVMModelPosteriorProb = fitSVMPosterior(SVMModel);
[label, probability] = predict(SVMModelPosteriorProb,testInput);
However, fitcsvm and fitSVMPosterior are both introduced in R2014a version and I am using an earlier one. When I pass the output of the svmtrain function to the predict function, I get an error message stating that struct is not the expected argument type.
Is there a way to do this in earlier Matlab versions?
How can i find posterior probabilities of trained SVM instead of the binarized output? - ResearchGate. Available from: https://www.researchgate.net/post/How_can_i_find_posterior_probabilities_of_trained_SVM_instead_of_the_binarized_output [accessed May 13, 2016].
Use LibSVM instead. It has an easy to use Matlab interface and you can easily find posterior probabilities. Just refer to the documentation.
http://www.csie.ntu.edu.tw/~cjlin/libsvm/
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