kernel_csvm.cpp

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#include <shark/Data/SparseData.h>
#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>
#include <shark/Algorithms/Trainers/CSvmTrainer.h>
#include <shark/Models/Kernels/GaussianRbfKernel.h>
 
#include <shark/Core/Timer.h>
#include <iostream>
using namespace shark;
using namespace std;
 
int main(int argc, char **argv) {
    LabeledData<RealVector,unsigned int> data;
    importSparseData(data, "cod-rna",0,8192);
 
    GaussianRbfKernel<> kernel(1.0);
    for(double C = 0.01; C <= 1; C*=10){
        KernelClassifier<RealVector> model;
        CSvmTrainer<RealVector> trainer(&kernel,C, true);
        
        Timer time;
        trainer.train(model, data);
        double time_taken = time.stop();
        
        ZeroOneLoss<> loss;
        cout << C <<"  " <<  time_taken <<" "<< loss(data.labels(),model(data.inputs()))<<std::endl;
    }
}