private static Tuple <ErrorRatePair, List <ErrorRatePair> > CalculateErrorRate <T>(SampleSet <T> sampleSet, ClassifierFactory <T> classifier, int trainingSize, double threshold, int xValidationStart, int xValidationLength) where T : ISample
{
// test classifier instances with testing samples and threshold asynchronously to get cross validated result
List <ErrorRatePair> errorRates = Enumerable.Range(xValidationStart, xValidationLength).AsParallel()
.Select(x => CalculateErrorRate(classifier.GetInstance(x), SampleSetHelpers.GetSampleSetTestingSamples(sampleSet, trainingSize, x), threshold))
.ToList();
ErrorRatePair totalError = errorRates[0];
for (int i = 1; i < errorRates.Count; i++)
{
totalError = totalError + errorRates[i];
}
return(new Tuple <ErrorRatePair, List <ErrorRatePair> >(totalError, errorRates));
}
public static BiometricResult Evaluate(ClassifierFactory <ISample> classifier, List <ISample> testingSamples)
{
return(Evaluate(classifier.GetInstance(0), testingSamples));
}