Commit 6679964e authored by Martin Beseda's avatar Martin Beseda

DEL: deleted neuron serialization example, as the only directly serialized object is Net

parent 2a28e0dd
......@@ -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++) {
......
//
// 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;
}
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