public void UpdateInfGain(double entropyForClassificationFactor, int[] afterClassificationVlaues, int amountOfExamplesUsed,
int[][] diferentOutcomesafterClassValues)
{
//TODO: complete the method
this.InfGain = DecisionTreeCreator.calculateInformationGain(entropyForClassificationFactor, afterClassificationVlaues, amountOfExamplesUsed,
diferentOutcomesafterClassValues);
}
static void Main(string[] args)
{
// var examples = DataReader.ReturnAllExamplesFromFile("../../TrainingData/DataExamples.txt");
// Console.WriteLine(examples);
DecisionTreeCreator treeCreator = new DecisionTreeCreator();
treeCreator.StartBuilding();
Console.WriteLine(treeCreator);
ITreeExporter exporter = new JSONTreeExporter();
DateTime dateTime = DateTime.Now;
// Add this option in configuration
String resultsPathFile = "../../Results/Tree-" + dateTime.ToString().Replace("/", "-") + ".txt";
exporter.exportTree(resultsPathFile, treeCreator.RootNode);
}
public void UpdateEntropy(int[] arrayWithAmountsOfDifferentClassificationValues,
int amountOfTrainingExamples)
{
this.Entropy = DecisionTreeCreator.calculateEntropy(arrayWithAmountsOfDifferentClassificationValues,
amountOfTrainingExamples);
}
