private static void WriteTrainingAndTestResults(
IDictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > topPunchedCardsPerLabel,
List <Tuple <IBitVector, IBitVector> > trainingData,
List <Tuple <IBitVector, IBitVector> > testData,
IPuncher <string, IBitVector, IBitVector> puncher)
{
Console.WriteLine("Unique input combinations per punched card (descending): " +
GetPunchedCardsPerLabelString(topPunchedCardsPerLabel));
var trainingCorrectRecognitionsPerLabel =
RecognitionHelper.CountCorrectRecognitions(trainingData, topPunchedCardsPerLabel, puncher);
Console.WriteLine("Training results: " +
trainingCorrectRecognitionsPerLabel
.Sum(correctRecognitionsPerLabel => correctRecognitionsPerLabel.Value) +
" correct recognitions of " + trainingData.Count);
var testCorrectRecognitionsPerLabel =
RecognitionHelper.CountCorrectRecognitions(testData, topPunchedCardsPerLabel, puncher);
Console.WriteLine("Test results: " +
testCorrectRecognitionsPerLabel
.Sum(correctRecognitionsPerLabel => correctRecognitionsPerLabel.Value) +
" correct recognitions of " + testData.Count);
}
GetTopPunchedCardsPerLabel(
IDictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > punchedCardsPerKeyPerLabel,
int topPunchedCardsPerKeyPerLabelCount)
{
var topPunchedCardsPerKeyPerLabel =
new Dictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > >();
for (byte i = 0; i < DataHelper.LabelsCount; i++)
{
var label = DataHelper.GetLabelBitVector(i, BitVectorFactory);
var topPunchedCardsPerSpecificLabel = punchedCardsPerKeyPerLabel
.OrderByDescending(punchedCardPerLabel =>
RecognitionHelper.CalculateBitVectorsScore(punchedCardPerLabel.Value[label]))
.Take(topPunchedCardsPerKeyPerLabelCount);
foreach (var topPunchedCardPerSpecificLabel in topPunchedCardsPerSpecificLabel)
{
if (!topPunchedCardsPerKeyPerLabel.TryGetValue(topPunchedCardPerSpecificLabel.Key, out var dictionary))
{
dictionary = new Dictionary <IBitVector, IReadOnlyCollection <IBitVector> >();
topPunchedCardsPerKeyPerLabel.Add(topPunchedCardPerSpecificLabel.Key, dictionary);
}
dictionary.Add(label, topPunchedCardPerSpecificLabel.Value[label]);
}
}
return(topPunchedCardsPerKeyPerLabel);
}
private static void Main()
{
var trainingData = DataHelper.ReadTrainingData(BitVectorFactory).ToList();
var testData = DataHelper.ReadTestData(BitVectorFactory).ToList();
var punchedCardBitLengths = new uint[] { 8, 16, 32, 64, 128, 256 };
foreach (var punchedCardBitLength in punchedCardBitLengths)
{
Console.WriteLine("Punched card bit length: " + punchedCardBitLength);
IPuncher <string, IBitVector, IBitVector> puncher = new RandomPuncher(punchedCardBitLength, BitVectorFactory);
var punchedCardsPerKeyPerLabel = GetPunchedCardsPerKeyPerLabel(trainingData, puncher);
var experts = RecognitionHelper.CreateExperts(punchedCardsPerKeyPerLabel);
Console.WriteLine();
Console.WriteLine("Global top punched card:");
WriteTrainingAndTestResults(GetGlobalTopPunchedCard(punchedCardsPerKeyPerLabel, experts), trainingData, testData, puncher, experts);
Console.WriteLine();
Console.WriteLine("Top punched cards per label:");
WriteTrainingAndTestResults(GetTopPunchedCardsPerLabel(punchedCardsPerKeyPerLabel, experts, 64), trainingData, testData, puncher, experts);
Console.WriteLine();
}
Console.WriteLine("Press \"Enter\" to exit the program...");
Console.ReadLine();
}
private static IDictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > GetGlobalTopPunchedCard(
IDictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > punchedCardsPerKeyPerLabel)
{
var globalTopPunchedCard = punchedCardsPerKeyPerLabel
.OrderByDescending(punchedCardPerKeyPerLabel =>
punchedCardPerKeyPerLabel.Value
.AsParallel()
.Sum(labelAndInputs => RecognitionHelper.CalculateBitVectorsScore(labelAndInputs.Value)))
.First();
return(new Dictionary <string, IDictionary <IBitVector, IReadOnlyCollection <IBitVector> > >
{
{ globalTopPunchedCard.Key, globalTopPunchedCard.Value }
});
}
private static IReadOnlyDictionary <string, IReadOnlyDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > GetGlobalTopPunchedCard(
IReadOnlyDictionary <string, IReadOnlyDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > punchedCardsPerKeyPerLabel,
IReadOnlyDictionary <string, IExpert> experts)
{
var globalTopPunchedCard = punchedCardsPerKeyPerLabel
.AsParallel()
.Select(punchedCardsPerKeyPerLabel =>
Tuple.Create(punchedCardsPerKeyPerLabel, RecognitionHelper.CalculateMaxLossSum(punchedCardsPerKeyPerLabel, experts)))
.MaxBy(tuple => tuple.Item2).Item1;
return(new Dictionary <string, IReadOnlyDictionary <IBitVector, IReadOnlyCollection <IBitVector> > >
{
{ globalTopPunchedCard.Key, globalTopPunchedCard.Value }
});
}
GetTopPunchedCardsPerLabel(
IReadOnlyDictionary <string, IReadOnlyDictionary <IBitVector, IReadOnlyCollection <IBitVector> > > punchedCardsPerKeyPerLabel,
IReadOnlyDictionary <string, IExpert> experts,
int topPunchedCardsPerKeyPerLabelCount)
{
var topPunchedCardsPerKeyPerLabel =
new Dictionary <string, IReadOnlyDictionary <IBitVector, IReadOnlyCollection <IBitVector> > >();
foreach (var label in DataHelper.GetLabels(BitVectorFactory))
{
var topPunchedCardsPerSpecificLabel = punchedCardsPerKeyPerLabel
.AsParallel()
.Select(punchedCardsPerKeyPerLabel =>
Tuple.Create(punchedCardsPerKeyPerLabel, RecognitionHelper.CalculateMaxLoss(punchedCardsPerKeyPerLabel, experts, label)))
.OrderByDescending(tuple => tuple.Item2)
.Take(topPunchedCardsPerKeyPerLabelCount)
.Select(tuple => tuple.Item1);
foreach (var topPunchedCardPerSpecificLabel in topPunchedCardsPerSpecificLabel)
{
if (!topPunchedCardsPerKeyPerLabel.TryGetValue(topPunchedCardPerSpecificLabel.Key, out var dictionary))
{
dictionary = new Dictionary <IBitVector, IReadOnlyCollection <IBitVector> >();
topPunchedCardsPerKeyPerLabel.Add(topPunchedCardPerSpecificLabel.Key, dictionary);
}
((Dictionary <IBitVector, IReadOnlyCollection <IBitVector> >)dictionary).Add(label, topPunchedCardPerSpecificLabel.Value[label]);
}
}
return(topPunchedCardsPerKeyPerLabel);
}
