private static void ProccessDataSetNominalNearestNeighbor(IDataSet <int, int> training_set, IDataSet <int, int> test_set)
{
ITemplateModelDiscrete <int, int> template = new TemplateModelFeatureSelecting <int, int>(
new FeatureSelectorGreedy <int, int>(
new EvaluatorReapetedRandomFold <int, int>(10)),
new TemplateModelNearestNeighborNominal());
ReportDiscrete <int, int> report = template.GenerateAndTestDiscrete(training_set, test_set);
Console.WriteLine(ToolsCollection.ToString(report.ConfusionMatrixInstances));
Console.WriteLine(report.CorrectLabelRate);
}
public double Evaluate(ITemplateModelDiscrete <DomainType, LabelType> template, IDataSet <DomainType, LabelType> data_set, ISet <int> feature_set)
{
IDataSet <DomainType, LabelType> selected_data_set = data_set.SelectFeatures(new List <int>(feature_set));
double[] scores = new double[this.FoldCount];
Parallel.For(0, this.FoldCount, fold_index =>
{
Tuple <IDataSet <DomainType, LabelType>, IDataSet <DomainType, LabelType> > split = selected_data_set.Split(this.TrainingSetFraction);
ReportDiscrete <DomainType, LabelType> report = template.GenerateAndTestDiscrete(split.Item1, split.Item2);
scores[fold_index] = report.CorrectLabelRate;
});
return(ToolsMathCollection.Sum(scores) / ((double)this.FoldCount));
}
private static void ProccessDataSetNominalSupportVectorMachine(IDataSet <int, int> training_set, IDataSet <int, int> test_set)
{
//ITemplateModelInterval<int, IModelLikelyHood<double[], int, double>>
IDataSet <double, int> training_set_interval = training_set.ConvertToDataSetInterval();
IDataSet <double, int> test_set_interval = test_set.ConvertToDataSetInterval();
//ITemplateModelDiscrete<IDataSetIntervalLabeled<double,int>, IModelLikelyHood<double[], int, double>> template =
// new TemplateModelFeatureSelecting<double, int, IDataSetIntervalLabeled<double, int>>(
// new FeatureSelectorGreedy<double, int, IDataSetIntervalLabeled<double,int>>(
// new EvaluatorReapetedRandomFold<double, int, IDataSetIntervalLabeled<double, int>>(10)),
// new TemplateModelLibSVMCSVC());
ITemplateModelDiscrete <double, int> template = new TemplateModelLibSVMCSVC(100, 5);
ReportDiscrete <double, int> report = template.GenerateAndTestDiscrete(training_set_interval, test_set_interval);
Console.WriteLine(ToolsCollection.ToString(report.ConfusionMatrixInstances));
Console.WriteLine(report.CorrectLabelRate);
}