int main(int argc, char **argv)
{
    std::string filename = argv[1]; // dosya isimi
    svm_problem* problem = parse_train_data(filename); // veriden problem olustur
    svm_parameter param;

    // parametreler
    param.svm_type = C_SVC;
    param.kernel_type = RBF;
    param.degree = 3;
    param.gamma = 0;
    param.coef0 = 0;
    param.nu = 0.5;
    param.cache_size = 100;
    param.C = 1;
    param.eps = 1e-3;
    param.p = 0.1;
    param.shrinking = 1;
    param.probability = 0;
    param.nr_weight = 0;
    param.weight_label = NULL;
    param.weight = NULL;

    // modeli egit
    svm_model *model = svm_train(problem, &param);
    // 6.7 3.3 5.7 2.5 -> rastgele bir veri
    double data[4] = {6.5, 3.2, 5.1, 2.0};
    svm_node *query_data = new svm_node[4]; // SVM NODE formatina sok
    for (int i = 0; i < 4; i++)
    {
        query_data[i].index = i;
        query_data[i].value = data[i];
    }
    // Tahmin yurut(predict)
    std::cout << "Sonuc:" << svm_predict(model, query_data) << std::endl;
    svm_save_model("model", model); // modeli kaydet

    // Bellekten alinanlari sil
    svm_free_and_destroy_model(&model);
    delete query_data
    delete problem->y;
    for(int i = 0;i < problem->l;i++)
    {
        delete problem->x[i];
    }
    delete problem->x;
    delete problem;
    return 0;
}