02_test_netsdf.cpp

This is an example of how to use the netdem library.

#include "general_net.hpp"
#include "mlpack_utils.hpp"
#include "regression_net.hpp"
 
using namespace netdem;
using namespace std;
 
void TestNetSDF() {
  arma::mat dataset;
  bool loadedDataset = mlpack::data::Load("dataset_SDF.txt", dataset, true);
  if (!loadedDataset) {
    cout << "loading data erros ..." << endl;
    return;
  }
  cout << "finished loading data ..." << endl;
 
  arma::mat test_data = dataset;
 
  int num_x{3}, num_y{1};
  arma::mat test_x = test_data.rows(0, num_x - 1);
  arma::mat test_y = test_data.row(num_x);
  cout << "finished preparing testing data ..." << endl;
 
  RegressionNet model;
  model.Load("ann_SDF.xml", "SDF");
  cout << "finished loading ann model ..." << endl;
 
  auto pred_y = model.Predict(test_x);
  double test_accuracy = MLPackUtils::GetMAE(pred_y, test_y);
  cout << "test mae: " << test_accuracy << endl;
 
  arma::mat joined_yy = std::move(arma::join_cols(pred_y, test_y));
  mlpack::data::Save("pred_vs_true_SDF.txt", joined_yy, false, true,
                     mlpack::data::FileType::CSVASCII);
}