#include #include #include #include #include "tools/easylogging++.h" #include "model/ranksvmtn.h" #include "tools/fileDataProvider.h" INITIALIZE_EASYLOGGINGPP using Eigen::MatrixXd; namespace po = boost::program_options; po::variables_map vm; int train() { RSVM *rsvm; rsvm = RSVM::loadModel(vm["model"].as().c_str()); FileDP dp(vm["feature"].as().c_str()); rsvm->train(dp); rsvm->saveModel(vm["output"].as().c_str()); delete rsvm; return 0; } int predict() { RSVM *rsvm; rsvm = RSVM::loadModel(vm["model"].as().c_str()); FileDP dp(vm["feature"].as().c_str()); rsvm->predict(dp); delete rsvm; return 0; } int main(int argc, char **argv) { // Defining program options po::options_description desc("Allowed options"); desc.add_options() ("help,h", "produce help message") ("train,T", "training model") ("validate,V", "validate model") ("predict,P", "use model for prediction") ("model,m", po::value(), "set input model file") ("output,o", po::value(), "set output model file") ("feature,i", po::value(), "set input feature file"); // Parsing program options po::store(po::parse_command_line(argc, argv, desc), vm); po::notify(vm); // Print help if necessary if (vm.count("help") || !(vm.count("train") || vm.count("validate") || vm.count("predict"))) { std::cout << desc; return 0; } if (vm.count("train")) { LOG(INFO) << "Program option: training"; train(); } else if (vm.count("validate")) { LOG(INFO) << "Program option: validate"; predict(); } else if (vm.count("predict")) { LOG(INFO) << "Program option: predict"; predict(); } return 0; }