Shogun tutorial example #3

gistfile1.txt

// Compiling with  g++ Shogun.cpp -lshogun -o shoguntest


#include <shogun/features/Labels.h>
#include <shogun/features/SimpleFeatures.h>
#include <shogun/kernel/GaussianKernel.h>
#include <shogun/classifier/svm/LibSVM.h>
#include <shogun/base/init.h>
#include <shogun/lib/common.h>
#include <shogun/io/SGIO.h>

using namespace shogun;

void print_message(FILE* target, const char* str)
{
        fprintf(target, "%s", str);
}

int main(int argc, char** argv)
{
        init_shogun(&print_message);

        // create some data
        float64_t* matrix = SG_MALLOC(float64_t, 6);
        for (int32_t i=0; i<6; i++)
                matrix[i]=i;

        // create three 2-dimensional vectors 
        // shogun will now own the matrix created
        CSimpleFeatures<float64_t>* features= new CSimpleFeatures<float64_t>();
        features->set_feature_matrix(matrix, 2, 3);

        // create three labels
        CLabels* labels=new CLabels(3);
        labels->set_label(0, -1);
        labels->set_label(1, +1);
        labels->set_label(2, -1);

        // create gaussian kernel with cache 10MB, width 0.5
        CGaussianKernel* kernel = new CGaussianKernel(10, 0.5);
        kernel->init(features, features);

        // create libsvm with C=10 and train
        CLibSVM* svm = new CLibSVM(10, kernel, labels);
        svm->train();

        // classify on training examples
        for (int32_t i=0; i<4; i++)                         //    <----------NOTE.
                SG_SPRINT("output[%d]=%f\n", i, svm->apply(i));


        // free up memory
        SG_UNREF(svm);

        exit_shogun();
        return 0;
}



// Give error:
//
// [hal@Crushernator shogun]$ ./shoguntest 
// terminate called after throwing an instance of 'shogun::ShogunException'
// Aborted