GeneticAlgorithm now works with a mean to predict, and only save the best quarter of its population

neural_network/src/GeneticAlgorithm.cpp

@@ -39,7 +39,19 @@ void GeneticAlgorithm::init(int nbInputs, const std::string & topology, int nbOu
 
 std::vector<float> GeneticAlgorithm::predict(FeatureModel::FeatureDescription & fd)
 {
-  return generation[0]->mlp.predict(fd);
+  std::vector<float> prediction = generation[0]->mlp.predict(fd);
+
+  for (unsigned int i = 1; i < generation.size(); i++)
+  {
+    auto otherPred = generation[i]->mlp.predict(fd);
+    for (unsigned int j = 0; j < prediction.size(); j++)
+      prediction[j] += otherPred[j];
+  }
+
+    for (unsigned int j = 0; j < prediction.size(); j++)
+      prediction[j] /= generation.size();
+
+  return prediction;
 }
 
 float GeneticAlgorithm::update(FeatureModel::FeatureDescription & fd, int gold)
@@ -119,10 +131,12 @@ void GeneticAlgorithm::save(const std::string & filename)
   fprintf(file->getDescriptor(), "%d %d %s\n", nbInputs, nbOutputs, topology.c_str());
   delete file;
 
-  for (auto & individual : generation)
+  unsigned int quarter = generation.size() / 4;
+
+  for (unsigned int i = 0; i < quarter; i++)
   {
-    individual->mlp.saveStruct(filename);
-    individual->mlp.saveParameters(filename);
+    generation[i]->mlp.saveStruct(filename);
+    generation[i]->mlp.saveParameters(filename);
   }
 }