public override SongGenre GetClass(DataElement data)
{
base.GetClass(data);
if (!data.HasFeaturesExtracted())
{
data.GetFeatures();
}
int nvars = data.MeanVector.Length;
double[] preparedData = new double[nvars];
for (int j = 0; j < nvars; j++)
{
preparedData[j] = data.MeanVector[j];
}
double[] result = new double[nClasses];
alglib.dfprocess(Decisionforest, preparedData, ref result);
double max = Enumerable.Max(result);
data.Probability = max;
return((SongGenre)result.IndexOf(max));
}
public override SongGenre GetClass(DataElement data)
{
base.GetClass(data);
if (!data.HasFeaturesExtracted())
{
data.GetFeatures();
}
double sum = 0;
int genresCount = multivariateGaussians.Count;
double[] values = new double[genresCount];
int[] elementsCount = new int[genresCount];
int elementsSum = 0;
int i = 0;
foreach (var mg in multivariateGaussians)
{
values[i] = mg.GetGaussianValue(data);
sum += values[i];
elementsCount[i] = mg.ElementsCount;
elementsSum += elementsCount[i];
i++;
}
values = MathHelper.ConvertToProbability(values);
// Bayes
for (int k = 0; k < genresCount; k++)
{
values[k] *= ((double)elementsCount[k] / (double)elementsSum);
}
data.Probability = Enumerable.Max(values);
return(multivariateGaussians[Matrix.IndexOf(values, data.Probability)].GetGenre());
}
