/// <summary>
/// Report the depth at which the k correct templates are found
/// </summary>
/// <param name="kVals"></param>
/// <param name="rejectThresh"></param>
/// <param name="testUnLabel"></param>
/// <param name="verbose"></param>
static void ReportTrainData(List <int> kVals, TestCollection testUnLabel, string dataFile)
{
using (Microsoft.LiveLabs.TrainDataFileWriter write = new Microsoft.LiveLabs.TrainDataFileWriter(dataFile))
{
foreach (int k in kVals)
{
int iFace = 0;
foreach (Face face in testUnLabel.Faces)
{
face.DoDistances(testUnLabel.Faces, testUnLabel.DistanceComputer);
face.Sort();
ReportTrainData(face, -1, iFace, write);
face.Dispose();
++iFace;
}
}
write.Dispose();
}
}
static void ReportTrainData(Face face, int kMax, int iFace, Microsoft.LiveLabs.TrainDataFileWriter write)
{
if (kMax <= 0)
{
kMax = face.Distances.Length;
}
else
{
kMax = Math.Min(kMax, face.Distances.Length);
}
// Find index of closest me class
int myId = face.ID;
int myGroup = face.GroupId;
int myBestMatch = -1;
int otherBest = -1;
int iFound = 0;
for (int k = 0; k < kMax && iFound < 2; ++k)
{
DistanceMeasure d = face.Distances[k];
if (d.face.GroupId == myGroup)
{
if (d.face.ID != myId && myBestMatch < 0 && d.Distance > 1.0)
{
myBestMatch = k;
++iFound;
}
}
else if (otherBest < 0)
{
otherBest = k;
++iFound;
}
}
if (myBestMatch < 0)
{
throw new Exception("Did not find a best my match for face " + face.ID.ToString());
}
double[] extraData = new double[3];
if (iFace % 2 == 0)
{
extraData[0] = L1Distance(face.Data, face.Distances[myBestMatch].face.Data);
extraData[1] = L1Distance(face.Data, face.Distances[otherBest].face.Data);
extraData[0] = Math.Max(1.0, extraData[0]);
extraData[2] = (extraData[0] - extraData[1]) / extraData[0];
}
else
{
extraData[0] = L1Distance(face.Data, face.Distances[otherBest].face.Data);
extraData[1] = L1Distance(face.Data, face.Distances[myBestMatch].face.Data);
extraData[1] = Math.Max(1.0, extraData[1]);
extraData[2] = (extraData[1] - extraData[0]) / extraData[1];
}
extraData[2] = Math.Max(-3.0, extraData[2]);
extraData[2] = Math.Min(3.0, extraData[2]);
extraData[2] *= 10000;
write.WriteNewInput(face.Data);
write.WriteDataContinue(extraData);
double[] target = new double[1];
target[0] = myGroup;
write.WriteNewTarget(target);
}