Commit d6807dde authored by Martin Beseda's avatar Martin Beseda

ENH: Separated neuron serialization example.

parent db04445a
......@@ -37,6 +37,9 @@ target_link_libraries(data_set boost_serialization)
add_executable(test_cases main.cpp)
target_link_libraries(test_cases neuron particle_swarm boost_serialization data_set)
add_executable(neuron_serialization_example neuron_serialization_example.cpp)
target_link_libraries(neuron_serialization_example neuron boost_serialization)
##############
# UNIT TESTS #
##############
......
......@@ -49,11 +49,7 @@ void Neuron::adjust_saturation_out(int value) {
bool Neuron::is_saturated_out() {
if(this->n_saturated_connections_out == this->edges_out->size()){
return true;
}
return false;
return this->n_saturated_connections_out == this->edges_out->size();
}
......
......@@ -23,6 +23,8 @@
#include "Neuron/NeuronTanh.h"
#include "DataSet/DataSet.h"
//TODO rewrite "tests" to separate examples
//TODO prepsat tak, aby neuronova sit managovala destruktory vsech potrebnych objektu (kvuli serializaci)
/**
* Test of simple neural network
......@@ -65,115 +67,6 @@ void test1( ){
delete u2;
}
/**
* Test of the binary serialization
*/
void test2() {
NeuronLinear n(2, 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;
}
/**
* Test of DataSet serialization
*/
......
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