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#include <iostream>
#include <Eigen/Dense>
#include <boost/program_options.hpp>
#include <string>
#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<std::string>());
FileDP dp(vm["feature"].as<std::string>());
// Generic training operations
dp.open();
DataSet D;
Labels L;
LOG(INFO)<<"Training started";
while (!dp.EOFile())
{
dp.getDataSet(D);
dp.getLabel(L);
rsvm->train(D,L);
}
LOG(INFO)<<"Training finished,saving model";
rsvm->saveModel(vm["output"].as<std::string>().c_str());
delete rsvm;
return 0;
}
int predict() {
RSVM *rsvm;
rsvm = RSVM::loadModel(vm["model"].as<std::string>().c_str());
FileDP dp(vm["feature"].as<std::string>().c_str());
DataSet D;
MatrixXd L;
while (!dp.EOFile())
{
dp.getDataSet(D);
rsvm->predict(D,L);
}
delete rsvm;
return 0;
}
int validate()
{
LOG(FATAL)<<"Not Implemented";
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<std::string>(), "set input model file")
("output,o", po::value<std::string>(), "set output model file")
("feature,i", po::value<std::string>(), "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";
validate();
}
else if (vm.count("predict")) {
LOG(INFO) << "Program option: predict";
predict();
}
return 0;
}
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