/**
* <summary> The execute method takes an {@link Experiment} and a {@link MultipleRun} as inputs. By selecting a candidateList from given
* Experiment it tries to find a FeatureSubSet that gives best performance.</summary>
*
* <param name="multipleRun">{@link MultipleRun} type input.</param>
* <param name="experiment"> {@link Experiment} type input.</param>
* <returns>FeatureSubSet that gives best performance.</returns>
*/
public FeatureSubSet Execute(MultipleRun multipleRun, Experiment.Experiment experiment)
{
var processed = new HashSet <FeatureSubSet>();
var best = initialSubSet;
processed.Add(best);
var betterFound = true;
ExperimentPerformance bestPerformance = null;
if (best.Size() > 0)
{
bestPerformance = multipleRun.Execute(experiment.FeatureSelectedExperiment(best));
}
while (betterFound)
{
betterFound = false;
var candidateList = Operator(best,
experiment.GetDataSet().GetDataDefinition().AttributeCount());
foreach (var candidateSubSet in candidateList)
{
if (!processed.Contains(candidateSubSet))
{
if (candidateSubSet.Size() > 0)
{
var currentPerformance =
multipleRun.Execute(experiment.FeatureSelectedExperiment(candidateSubSet));
if (bestPerformance == null || currentPerformance.IsBetter(bestPerformance))
{
best = candidateSubSet;
bestPerformance = currentPerformance;
betterFound = true;
}
}
processed.Add(candidateSubSet);
}
}
}
return(best);
}
public ExGraph()
{
expe = new Experiment.Experiment();
InitializeComponent();
Sample1();
}
