protected Performance.Performance runExperiment(Classifier.Classifier classifier, Parameter.Parameter parameter,
CrossValidation <Instance.Instance> crossValidation)
{
var trainSet = new InstanceList.InstanceList(crossValidation.GetTrainFold(0));
var testSet = new InstanceList.InstanceList(crossValidation.GetTestFold(0));
return(classifier.SingleRun(parameter, trainSet, testSet));
}
protected void RunExperiment(Classifier.Classifier classifier, Parameter.Parameter parameter,
ExperimentPerformance experimentPerformance, CrossValidation <Instance.Instance> crossValidation,
InstanceList.InstanceList testSet)
{
for (var i = 0; i < K; i++)
{
var trainSet = new InstanceList.InstanceList(crossValidation.GetTrainFold(i));
classifier.Train(trainSet, parameter);
experimentPerformance.Add(classifier.Test(testSet));
}
}