public double[][] GetNormalizedBinaryCodes(IActivationFunction function, int binaryLength)
{
byte[][] codes = BinaryOutputUtil.GetAllBinaryCodes(binaryLength);
int length = codes.GetLength(0);
double[][] fCodes = new double[length][];
for (int i = 0; i < length; i++)
{
fCodes[i] = Array.ConvertAll(codes[i], s => (double)s);
NormalizeUtils.NormalizeOneDesiredOutputInPlace(function, fCodes[i]);
}
return(fCodes);
}
protected void ReorderOutput(Network network, BasicNeuralDataSet dataset, Dictionary <int, List <BasicMLData> > trackIdFingerprints, double[][] binaryCodes)
{
int outputNeurons = network.GetLayerNeuronCount(network.LayerCount - 1);
int trackCount = trackIdFingerprints.Count;
// For each song, compute Am
double[][] am = new double[trackCount][];
int counter = 0;
foreach (KeyValuePair <int, List <BasicMLData> > pair in trackIdFingerprints)
{
List <BasicMLData> sxSnippet = pair.Value;
if (sxSnippet.Count < trainingSongSnippets)
{
throw new NetTrainerException("Not enough snippets for a song");
}
am[counter] = new double[outputNeurons];
foreach (BasicMLData snippet in sxSnippet)
{
IMLData actualOutput = network.Compute(snippet);
for (int k = 0; k < outputNeurons; k++)
{
actualOutput[k] /= outputNeurons;
am[counter][k] += actualOutput[k];
}
}
counter++;
}
// Get a collection of tracks (shallow copy)
int[] unassignedTracks = new int[trackCount];
int countTrack = 0;
foreach (KeyValuePair <int, List <BasicMLData> > item in trackIdFingerprints)
{
unassignedTracks[countTrack++] = item.Key;
}
int currItteration = 0;
// Find binary code - track pair that has min l2 norm across all binary codes
List <Tuple <int, int> > binCodeTrackPair = BinaryOutputUtil.FindMinL2Norm(binaryCodes, am);
foreach (Tuple <int, int> pair in binCodeTrackPair)
{
// Set the input-output for all fingerprints of that song
List <BasicMLData> songFingerprints = trackIdFingerprints[unassignedTracks[pair.Item2]];
foreach (BasicMLData songFingerprint in songFingerprints)
{
for (int i = 0, n = songFingerprint.Count; i < n; i++)
{
dataset.Data[currItteration].Input[i] = songFingerprint[i];
}
for (int i = 0, n = binaryCodes[pair.Item1].Length; i < n; i++)
{
dataset.Data[currItteration].Ideal[i] = binaryCodes[pair.Item1][i];
}
currItteration++;
}
}
}