public void Work()
{
for (this._currentIteration = 0; this._currentIteration < this._maxIterations; this._currentIteration++)
{
this.CreateSolution();
this.PerformLocalSearch();
this.UpdateBestAnt();
if (this.IsConverged())
{
break;
}
this.UpdatePheromoneLevels();
if (OnPostColonyIteration != null)
{
this.OnPostColonyIteration(this, null);
}
}
this._mnClassifier = this.ConstructMulitNetClassifier(this._bestAnts);
}
public override void Work()
{
this._mnClassifier = new BayesianMultinetClassifier(this._trainingSet.Metadata);
DataMining.Data.Dataset[] datasets = this._trainingSet.Split();
for (int classIndex = 0; classIndex < this._trainingSet.Metadata.Target.Values.Length; classIndex++)
{
((MICalculator)this._problem.HeuristicsCalculator).Dataset = datasets[classIndex];
this.Initialize();
((likelihoodQualityEvaluator)this._problem.SolutionQualityEvaluator).QualityFactor = 0;
((likelihoodQualityEvaluator)this._problem.SolutionQualityEvaluator).TaregtClass = classIndex;
((likelihoodQualityEvaluator)this._problem.SolutionQualityEvaluator).TrainingSet = datasets[classIndex];
BayesianNetwork bayesianNetwork = this.LearnLocalBayesianNetwork(classIndex, datasets[classIndex]);
this._mnClassifier.AddBayesianNetwork(classIndex, bayesianNetwork);
}
}
public static BayesianMultinetClassifier CreateGMNAntBayesianClassification(int seed, int iterations, int colonySize, int convergence, int dependencies, Dataset trainingSet, ISolutionQualityEvaluator <Edge> qualityEvaluator, IHeuristicValueCalculator <Edge> calculator, bool fireEvents)
{
DataMining.Utilities.RandomUtility.Initialize(seed);
CyclicRelationInvalidator invalidator = new CyclicRelationInvalidator();
BackwardRemovalLocalSearch localSearch = new BackwardRemovalLocalSearch(qualityEvaluator);
Problem <Edge> problem = new Problem <Edge>(invalidator, calculator, qualityEvaluator, localSearch);
ABCMinerGMN mnabcminer = new ABCMinerGMN(iterations, colonySize, convergence, problem, dependencies, trainingSet);
if (fireEvents)
{
mnabcminer.OnPostAntSolutionContruction += new EventHandler(abclassifier_OnPostAntSolutionContruction);
mnabcminer.OnPostColonyIteration += new EventHandler(GMNabclassifier_OnPostColonyIteration);
}
mnabcminer.Work();
BayesianNetworks.Model.BayesianMultinetClassifier mnbclassifier = mnabcminer.MultinetBayesianClassifier;
return(mnbclassifier);
}