linear_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/Core/Timer.h>
#include <iostream>
using namespace shark;
using namespace std;
 
int main(int argc, char **argv) {
    LabeledData<CompressedRealVector,unsigned int> data_sparse;
    importSparseData(data_sparse, "rcv1_train.binary",0,8192);
 
    for(double C = 1; C <= 100000; C*=10){
        LinearClassifier<CompressedRealVector> model;
        LinearCSvmTrainer<CompressedRealVector> trainer(C,true);
        
        Timer time;
        trainer.train(model, data_sparse);
        double time_taken = time.stop();
        
        ZeroOneLoss<> loss;
        cout << C <<"  " <<  time_taken <<" "<< loss(data_sparse.labels(),model(data_sparse.inputs()))<<std::endl;
    }
}