public Problem(IComponentInvalidator <T> invalidator, IHeuristicValueCalculator <T> calculator, ISolutionQualityEvaluator <T> evaluator, ILocalSearch <T> localSearch)
{
this._invalidator = invalidator;
this._calculator = calculator;
this._evaluator = evaluator;
this._localSearch = localSearch;
}
public static BayesianNetworkClassifier CreateABCMinerClassifier(int seed, int iterations, int colonySize, int convergence, int dependencies, Dataset trainingSet, DataMining.ClassificationMeasures.IClassificationQualityMeasure qualityEvaluator, IHeuristicValueCalculator <Edge> calculator, bool performLocalSearch, bool fireEvents)
{
DataMining.Utilities.RandomUtility.Initialize(seed);
CyclicRelationInvalidator invalidator = new CyclicRelationInvalidator();
BayesianClassificationQualityEvaluator evaluator = new BayesianClassificationQualityEvaluator(qualityEvaluator);
BackwardRemovalLocalSearch localSearch = new BackwardRemovalLocalSearch(evaluator);
Problem <Edge> problem = new Problem <Edge>(invalidator, calculator, evaluator, localSearch);
ABCMiner abcminer = new ABCMiner(iterations, colonySize, convergence, problem, dependencies, performLocalSearch);
abcminer.Dataset = trainingSet;
if (fireEvents)
{
abcminer.OnPostAntSolutionContruction += new EventHandler(abclassifier_OnPostAntSolutionContruction);
abcminer.OnPostColonyIteration += new EventHandler(abclassifier_OnPostColonyIteration);
}
BayesianNetworks.Model.BayesianNetworkClassifier bnclassifier = abcminer.CreateClassifier() as BayesianNetworkClassifier;
return(bnclassifier);
}
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);
}
