コード例 #1
0
ファイル: train.cpp プロジェクト: implus/kaggle-2014-criteo
int main(int const argc, char const * const * const argv) {
    Option opt;
    try {
        opt = parse_option(argv_to_args(argc, argv));
    }
    catch(std::invalid_argument const &e) {
        std::cout << e.what();
        return EXIT_FAILURE;
    }

    std::cout << "reading data..." << std::flush;
    Problem const Va = read_problem(opt.Va_path);
    Problem const Tr = read_problem(opt.Tr_path);
    std::cout << "done\n" << std::flush;

    std::cout << "initializing model..." << std::flush;
    Model model(Tr.nr_feature, opt.nr_factor, Tr.nr_field);
    init_model(model);
    std::cout << "done\n" << std::flush;

	omp_set_num_threads(static_cast<int>(opt.nr_threads));

    train(Tr, Va, model, opt);

	omp_set_num_threads(1);

    if(opt.do_prediction) predict(Va, model, opt.Va_path+".out");

    return EXIT_SUCCESS;
}
コード例 #2
0
ファイル: train.cpp プロジェクト: alexchao2012/kaggle-avazu-1
int main(int const argc, char const * const * const argv)
{
    Option opt;
    try
    {
        opt = parse_option(argv_to_args(argc, argv));
    }
    catch(std::invalid_argument const &e)
    {
        std::cout << e.what();
        return EXIT_FAILURE;
    }
    std::cout << "reading data..." << std::flush;
    //Problem const Tr = read_data(opt.Tr_path, opt.TrS_path);
    //Problem const Va = read_data(opt.Va_path, opt.VaS_path);
    Problem const Tr = read_data(opt.Tr_path);
    Problem const Va = read_data(opt.Va_path);
    std::cout << "done\n" << std::flush;

	omp_set_num_threads(static_cast<int>(opt.nr_thread));

    GBDT gbdt(opt.nr_tree);
    gbdt.fit(Tr, Va);

    write(Tr, gbdt, opt.Tr_out_path);
    write(Va, gbdt, opt.Va_out_path);

    return EXIT_SUCCESS;
}