internal void train(List <TInputData> data)
{
bool sourceMatrixCreated = false;
double[,] sourceMatrix = new double[0, 0];
int[] labels = new int[0];
//Accord.Math.Matrix.
int index = 0;
foreach (TInputData input in data)
{
DoubleArrayFeatureVector fv = this.InternalExtractor.extractFeatureVector(input);
if (!sourceMatrixCreated)
{
sourceMatrix = new double[data.Count(), fv.FeatureVector.Count()];
labels = new int[data.Count()];
sourceMatrixCreated = true;
}
Accord.Math.Matrix.SetRow <double>(sourceMatrix, index, fv.FeatureVector);
index++;
}
method.train(sourceMatrix, labels);
}
public DoubleArrayFeatureVector extractFeatureVector(TInputData input)
{
DoubleArrayFeatureVector fv = internalExtractor.extractFeatureVector(input);
double[] data = method.project(fv.FeatureVector);
return(new DoubleArrayFeatureVector(data));
}