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Too many input arguments.

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sun rise
sun rise 2021-10-1
评论： Walter Roberson 2021-10-2
function [result] = multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1)
%Models a given training set with a corresponding group vector and
%classifies a given test set using an SVM classifier according to a
%one vs. all relation.
%
%This code was written by Cody Neuburger cneuburg@fau.edu
%Florida Atlantic University, Florida USA...
%This code was adapted and cleaned from Anand Mishra's multisvm function
%found at http://www.mathworks.com/matlabcentral/fileexchange/33170-multi-class-support-vector-machine/
%GroupTrain=GroupTrain';
u=unique(Group_Train1);
numClasses=length(u);
%TestSet=TestSet';
%TrainingSet=TrainingSet';
result = categorical.empty();
%build models
models = cell(numClasses,1);
for k=1:numClasses
%Vectorized statement that binarizes Group
%where 1 is the current class and 0 is all other classes
G1vAll=(Group_Train1==u(k));
%models{k} = fitcsvm(TrainingSet,G1vAll);
models{k} = fitcsvm(TrainingSet,G1vAll,'KernelFunction','polynomial','polynomialorder',3,'Solver','ISDA','Verbose',0,'Standardize',true);
if ~models{k}.ConvergenceInfo.Converged
fprintf('Training did not converge for class "%s"\n', string(u(k)));
end
end
%classify test cases
for t=1:size(TestSet,1)
matched = false;
for d=1:numClasses
if(predict(models{d},TestSet(t,: )))
matched = true;
break;
end
end
if matched
result(t,1) = u(d);
else
result(t,1) = 'No Match';
end
%--------------------------------
end
Accuracy = mean(Group_Test1==result) * 100;
fprintf('Accuracy = %.2f\n', Accuracy);
fprintf('error rate = %.2f\n ', mean(result ~= Group_Test1 ) * 100);
HOG2
load featurs_T
load featurs_S
load Group_Train
load Group_Test
result1= multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1);
testresult = result1;
Error using multisvm
Too many input arguments.
Error in HOG2 (line 30)
result1= multisvm(TrainingSet,Group_Train1,TestSet,Group_Test1);
  3 个评论
显示 1更早的评论
sun rise
sun rise 2021-10-1
How can i get rid of it
Walter Roberson
Walter Roberson 2021-10-2
Put this multisvm into the current directory.

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