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/*********************************************************************
MLDemos: A User-Friendly visualization toolkit for machine learning
Copyright (C) 2010 Basilio Noris
Contact: mldemos@b4silio.com
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public License,
version 3 as published by the Free Software Foundation.
This library is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free
Software Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*********************************************************************/
#include "interfaceGA.h"
#include "reinforcementGA.h"
#include <QPixmap>
#include <QDebug>
#include <QBitmap>
#include <QPainter>
#include <datasetManager.h>
#include <canvas.h>
using namespace std;
ReinforcementInterfaceGA::ReinforcementInterfaceGA()
{
params = new Ui::ParametersGA();
params->setupUi(widget = new QWidget());
}
ReinforcementInterfaceGA::~ReinforcementInterfaceGA()
{
delete params;
}
void ReinforcementInterfaceGA::SetParams(Reinforcement *reinforcement)
{
if(!reinforcement) return;
double mutation = params->mutationSpin->value();
double cross = params->crossSpin->value();
double survival = params->survivalSpin->value();
int population = params->populationSpin->value();
((ReinforcementGA *)reinforcement)->SetParams(mutation, cross, survival, population);
}
fvec ReinforcementInterfaceGA::GetParams()
{
double mutation = params->mutationSpin->value();
double cross = params->crossSpin->value();
double survival = params->survivalSpin->value();
int population = params->populationSpin->value();
fvec par(4);
par[0] = mutation;
par[1] = cross;
par[2] = survival;
par[3] = population;
return par;
}
void ReinforcementInterfaceGA::SetParams(Reinforcement *reinforcement, fvec parameters)
{
int i=0;
double mutation = parameters.size() > i ? parameters[i] : 0; i++;
double cross = parameters.size() > i ? parameters[i] : 0.1;
double survival = parameters.size() > i ? parameters[i] : 10;
int population = parameters.size() > i ? parameters[i] : false;
((ReinforcementGA *)reinforcement)->SetParams(mutation, cross, survival, population);
}
void ReinforcementInterfaceGA::GetParameterList(std::vector<QString> ¶meterNames,
std::vector<QString> ¶meterTypes,
std::vector< std::vector<QString> > ¶meterValues)
{
parameterNames.push_back("Mutation Rate");
parameterNames.push_back("Crossover Rate");
parameterNames.push_back("Survival Rate");
parameterNames.push_back("Population Size");
parameterTypes.push_back("Real");
parameterTypes.push_back("Real");
parameterTypes.push_back("Real");
parameterTypes.push_back("Integer");
parameterValues.push_back(vector<QString>());
parameterValues.back().push_back("0.0000001f");
parameterValues.back().push_back("1.f");
parameterValues.push_back(vector<QString>());
parameterValues.back().push_back("0.0000001f");
parameterValues.back().push_back("1.f");
parameterValues.push_back(vector<QString>());
parameterValues.back().push_back("0.0000001f");
parameterValues.back().push_back("1.f");
parameterValues.push_back(vector<QString>());
parameterValues.back().push_back("1");
parameterValues.back().push_back("999999");
}
QString ReinforcementInterfaceGA::GetAlgoString()
{
double mutation = params->mutationSpin->value();
double cross = params->crossSpin->value();
double survival = params->survivalSpin->value();
int population = params->populationSpin->value();
QString algo = QString("GA %1 %2 %3 %4").arg(population).arg(mutation).arg(cross).arg(survival);
return algo;
}
Reinforcement *ReinforcementInterfaceGA::GetReinforcement()
{
Reinforcement *reinforcement = new ReinforcementGA();
SetParams(reinforcement);
return reinforcement;
}
void ReinforcementInterfaceGA::SaveOptions(QSettings &settings)
{
settings.setValue("populationSpin", params->populationSpin->value());
settings.setValue("mutationSpin", params->mutationSpin->value());
settings.setValue("crossSpin", params->crossSpin->value());
settings.setValue("survivalSpin", params->survivalSpin->value());
}
bool ReinforcementInterfaceGA::LoadOptions(QSettings &settings)
{
if(settings.contains("populationSpin")) params->populationSpin->setValue(settings.value("populationSpin").toFloat());
if(settings.contains("mutationSpin")) params->mutationSpin->setValue(settings.value("mutationSpin").toFloat());
if(settings.contains("crossSpin")) params->crossSpin->setValue(settings.value("crossSpin").toFloat());
if(settings.contains("survivalSpin")) params->survivalSpin->setValue(settings.value("survivalSpin").toFloat());
return true;
}
void ReinforcementInterfaceGA::SaveParams(QTextStream &file)
{
file << "maximizationOptions" << ":" << "populationSpin" << " " << params->populationSpin->value() << "\n";
file << "maximizationOptions" << ":" << "mutationSpin" << " " << params->mutationSpin->value() << "\n";
file << "maximizationOptions" << ":" << "crossSpin" << " " << params->crossSpin->value() << "\n";
file << "maximizationOptions" << ":" << "survivalSpin" << " " << params->survivalSpin->value() << "\n";
}
bool ReinforcementInterfaceGA::LoadParams(QString name, float value)
{
if(name.endsWith("populationSpin")) params->populationSpin->setValue((int)value);
if(name.endsWith("mutationSpin")) params->mutationSpin->setValue((float)value);
if(name.endsWith("crossSpin")) params->crossSpin->setValue((float)value);
if(name.endsWith("survivalSpin")) params->survivalSpin->setValue((float)value);
return true;
}
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