diff --git a/src/LearningMethods/ParticleSwarm.cpp b/src/LearningMethods/ParticleSwarm.cpp index 3f1caefc95336e6e71a8f283a94dcafdc7022ceb..deae025bff13189a756ab69ea746d45624cf2961 100644 --- a/src/LearningMethods/ParticleSwarm.cpp +++ b/src/LearningMethods/ParticleSwarm.cpp @@ -326,9 +326,9 @@ void ParticleSwarm::optimize( double gamma, double epsilon, double delta) { //TODO only in verbose mode euclidean_dist /= this->n_particles; if(outer_it % 10 == 0){ - printf("Iteration %d, avg euclidean distance: %f, cluster percent: %f, f-value: %f\r", (int)outer_it, euclidean_dist, - double(cluster.size())/this->n_particles, optimal_value); - std::cout.flush(); + //printf("Iteration %d, avg euclidean distance: %f, cluster percent: %f, f-value: %f\r", (int)outer_it, euclidean_dist, + // double(cluster.size())/this->n_particles, optimal_value); + //std::cout.flush(); } // for(unsigned int i=0; i < this->n_particles; i++) { diff --git a/src/examples/neuron_serialization_example.cpp b/src/examples/neuron_serialization_example.cpp deleted file mode 100644 index 39f4adcf57baf9cdde5760769a5be28b0be3e349..0000000000000000000000000000000000000000 --- a/src/examples/neuron_serialization_example.cpp +++ /dev/null @@ -1,124 +0,0 @@ -// -// Created by martin on 7/15/18. -// - -/** - * Test of the neuron binary serialization - */ - - -#include <iostream> -#include <fstream> -#include <boost/archive/text_oarchive.hpp> -#include <boost/archive/text_iarchive.hpp> - -#include "4neuro.h" - -int main() { -// double b = 3;//bias -// NeuronLinear n(&b);//x + 3 -// -// std::cout << n.get_potential() << " " -// << n.get_state() << " " -// << n.activation_function_get_parameter(0) << " " -// << n.activation_function_get_parameter(1) << std::endl; -// -// std::ofstream ofs("stored_neuron.4n"); -// { -// boost::archive::text_oarchive oa(ofs); -// oa << n; -// ofs.close(); -// } -// -// NeuronLinear n2; -// { -// std::ifstream ifs("stored_neuron.4n"); -// boost::archive::text_iarchive ia(ifs); -// ia >> n2; -// ifs.close(); -// } -// -// std::cout << n2.get_potential() << " " -// << n2.get_state() << " " -// << n2.activation_function_get_parameter(0) << " " -// << n2.activation_function_get_parameter(1) << std::endl; -// -// NeuronLinear n3(0.62, 0.4); -// -// std::cout << n3.get_potential() << " " -// << n3.get_state() << " " -// << n3.activation_function_get_parameter(0) << " " -// << n3.activation_function_get_parameter(1) << std::endl; -// -// std::ofstream ofs2("stored_neuron2.4n"); -// { -// boost::archive::text_oarchive oa(ofs2); -// oa << n3; -// ofs2.close(); -// } -// -// NeuronLogistic n4; -// { -// std::ifstream ifs("stored_neuron2.4n"); -// boost::archive::text_iarchive ia(ifs); -// ia >> n4; -// ifs.close(); -// } -// -// std::cout << n4.get_potential() << " " -// << n4.get_state() << " " -// << n4.activation_function_get_parameter(0) << " " -// << n4.activation_function_get_parameter(1) << std::endl; -// -// NeuronTanh n5(0.5); -// -// std::cout << n5.get_potential() << " " -// << n5.get_state() << " " -// << n5.activation_function_get_parameter(0) << std::endl; -// -// std::ofstream ofs3("stored_neuron3.4n"); -// { -// boost::archive::text_oarchive oa(ofs3); -// oa << n5; -// ofs3.close(); -// } -// -// NeuronTanh n6; -// { -// std::ifstream ifs("stored_neuron3.4n"); -// boost::archive::text_iarchive ia(ifs); -// ia >> n6; -// ifs.close(); -// } -// -// std::cout << n6.get_potential() << " " -// << n6.get_state() << " " -// << n6.activation_function_get_parameter(0) << std::endl; -// -// NeuronBinary n7(0.71); -// -// std::cout << n7.get_potential() << " " -// << n7.get_state() << " " -// << n7.activation_function_get_parameter(0) << std::endl; -// -// std::ofstream ofs4("stored_neuron4.4n"); -// { -// boost::archive::text_oarchive oa(ofs4); -// oa << n7; -// ofs4.close(); -// } -// -// NeuronBinary n8; -// { -// std::ifstream ifs("stored_neuron4.4n"); -// boost::archive::text_iarchive ia(ifs); -// ia >> n8; -// ifs.close(); -// } -// -// std::cout << n8.get_potential() << " " -// << n8.get_state() << " " -// << n8.activation_function_get_parameter(0) << std::endl; - - return 0; -}