public object BindModel(ControllerContext controllerContext, ModelBindingContext bindingContext)
{
if (bindingContext.ModelType != typeof(IModelFieldSelector <Press>))
{
return(null);
}
var keyStr = bindingContext.ValueProvider.GetValue("key");
if (keyStr == null)
{
return(null);
}
string[] keys = ((string)keyStr.ConvertTo(typeof(string))).Split(',');
if (keys.Count() <= 0)
{
return(null);
}
var selector = new PressSelector();
foreach (var key in keys)
{
var keyData = key.Split('-');
if (keyData.Count() < 2)
{
continue;
}
var field = keyData[0];
var value = keyData[1];
switch (field)
{
case "name":
selector.FieldSelectors.Add(new PressNameSelector(value));
break;
}
}
return(selector);
}
private void RunGA()
{
_projMgr.ModelRunning = true;
ResetGraphs();
ResetOutputFields();
double crossoverRate = Convert.ToDouble(txtCrossoverRate.Text);
double mutationRate = Convert.ToDouble(txtMutRate.Text);
int numGen = Convert.ToInt32(txtNumGen.Text);
int popSize = Convert.ToInt32(txtPopSize.Text);
FitnessCriteria fitnessCriteria = GetFitnessCriteria();
_maxIndVars = Convert.ToInt32(txtMaxVars.Text);
if (chkSeed.Checked)
{
int seed = Convert.ToInt32(txtSeed.Text);
RandomNumbers.SetRandomSeed(seed);
}
else
RandomNumbers.SetRandomSeed();
_maxVIF = Convert.ToInt32(txtMaxVIF.Text);
List<IIndividual> initPop = new List<IIndividual>(popSize);
for (int i = 0; i < popSize; i++)
{
initPop.Add(new MLRIndividual(_maxIndVars, _totVar, fitnessCriteria, _maxVIF, _decisionThreshold, _mandateThreshold));
//initPop.Add(new MLRIndividual(_maxIndVars, _totVar, fitnessCriteria, _maxVIF));
}
Population population = new Population(initPop);
population.CrossoverMethod = new MLROnePointCrossover(crossoverRate);
if (fitnessCriteria == FitnessCriteria.Akaike)
{
population.Comparer = new AscendSort();
AICSelector aicSelector = new AICSelector();
aicSelector.Comparer = population.Comparer;
population.Selector = aicSelector;
}
else if (fitnessCriteria == FitnessCriteria.AICC)
{
population.Comparer = new AscendSort();
AICCSelector aiccSelector = new AICCSelector();
aiccSelector.Comparer = population.Comparer;
population.Selector = aiccSelector;
}
else if (fitnessCriteria == FitnessCriteria.BIC)
{
population.Comparer = new AscendSort();
BICSelector bicSelector = new BICSelector();
bicSelector.Comparer = population.Comparer;
population.Selector = bicSelector;
}
else if (fitnessCriteria == FitnessCriteria.Press)
{
population.Comparer = new AscendSort();
PressSelector pressSelector = new PressSelector();
pressSelector.Comparer = population.Comparer;
population.Selector = pressSelector;
}
else if (fitnessCriteria == FitnessCriteria.AdjustedR2)
{
population.Comparer = new DescendSort();
AdjR2Selector adjR2Selector = new AdjR2Selector();
adjR2Selector.Comparer = population.Comparer;
population.Selector = adjR2Selector;
}
else if (fitnessCriteria == FitnessCriteria.R2)
{
population.Comparer = new DescendSort();
R2Selector r2Selector = new R2Selector();
r2Selector.Comparer = population.Comparer;
population.Selector = r2Selector;
}
else if (fitnessCriteria == FitnessCriteria.RMSE)
{
population.Comparer = new AscendSort();
RMSESelector rmseSelector = new RMSESelector();
rmseSelector.Comparer = population.Comparer;
population.Selector = rmseSelector;
}
else if (fitnessCriteria == FitnessCriteria.Sensitivity)
{
population.Comparer = new DescendSort();
SensitivitySelector sensitivitySelector = new SensitivitySelector();
sensitivitySelector.Comparer = population.Comparer;
population.Selector = sensitivitySelector;
}
else if (fitnessCriteria == FitnessCriteria.Specificity)
{
population.Comparer = new DescendSort();
SpecificitySelector specificitySelector = new SpecificitySelector();
specificitySelector.Comparer = population.Comparer;
population.Selector = specificitySelector;
}
else if (fitnessCriteria == FitnessCriteria.Accuracy)
{
population.Comparer = new DescendSort();
AccuracySelector accuracySelector = new AccuracySelector();
accuracySelector.Comparer = population.Comparer;
population.Selector = accuracySelector;
}
population.ChromosomeComparer = new CompareChromosomes();
population.Initialize();
population.Mutator = new MLRMutator(mutationRate, _totVar);
//GALib.GAManager ga = new GALib.GAManager();
_gaManager = new GALib.GAManager();
_gaManager.Init(population);
_gaManager.NumberOfGenerations = numGen;
_gaManager.GAProgress += new GAManager.GAProgressHandler(GAUpdate);
_gaManager.GAComplete += new GAManager.GACompleteHandler(GAComplete);
GAManager ga = new GAManager();
_runThread = new Thread(_gaManager.Run);
_runThread.Start();
//list = ga.Run(population);
}
