How to compute SFS(Sequential feature selection) with "multiple class" SVM？

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Hsiang-Sheng Wang
Hsiang-Sheng Wang 2016-4-14
回答： Nisar Ahmed 2018-9-20
I can use sequentialfs function to compute the SFS with two-class SVM.(means the binary output [0 1])
below is my code：
%% x=features, y=binary response. c = cvpartition(y,'k',10); opts = statset('display','iter'); [fs,history] = sequentialfs(fun,x,y,'cv',c,'options',opts)
function err = SVM_class_fun(xTrain, yTrain, xTest, yTest) model = svmtrain(xTrain, yTrain, 'Kernel_Function', 'polynomial','polyorder',2, 'boxconstraint', 1); err = sum(svmclassify(model, xTest) ~= yTest); end
my issue is how to cumpute SFS when y is not binary.
I can't try it successfully,
help me, thanks！

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回答（1 个）

Nisar Ahmed
Nisar Ahmed 2018-9-20
You can use Mdl = fitcecoc(xTrain, yTrain) instead of svmtrain for model construction.

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