private static void ClusterFlop()
{
// k-means clustering
DateTime start = DateTime.UtcNow;
KMeans kmeans = new KMeans();
int[] indices = FileHandler.LoadFromFileIndex("EMDTableFlop_temp.txt");
flopIndices = kmeans.ClusterEMD(histogramsFlop, Global.nofFlopBuckets, 1, indices);
TimeSpan elapsed = DateTime.UtcNow - start;
Console.WriteLine("Flop clustering completed in {0}d {1}h {2}m {3}s", elapsed.Days, elapsed.Hours, elapsed.Minutes, elapsed.Seconds);
Console.WriteLine("Created the following clusters for the Flop (extract of one cluster): ");
int nofEntriesToDisplay = 20;
for (int i = 0; i < Global.indexer_2_3.roundSize[1] && nofEntriesToDisplay > 0; ++i)
{
if (turnIndices[i] == 0)
{
int[] cards = new int[5];
Global.indexer_2_3.unindex(Global.indexer_2_3.rounds - 1, i, cards);
Hand hand = new Hand();
hand.Cards = new List <Card>()
{
new Card(cards[0]), new Card(cards[1]), new Card(cards[2]), new Card(cards[3]),
new Card(cards[4])
};
hand.PrintColoredCards("\n");
nofEntriesToDisplay--;
}
}
if (nofEntriesToDisplay == 0)
{
Console.WriteLine("...");
}
}
private static void ClusterRiver()
{
// k-means clustering
DateTime start = DateTime.UtcNow;
KMeans kmeans = new KMeans();
int[] indices = FileHandler.LoadFromFileIndex("OCHSRiverClusters_temp.txt");
riverIndices = kmeans.ClusterL2(histogramsRiver, Global.nofRiverBuckets, 1, indices);
Console.WriteLine("Created the following clusters for the River: ");
int nofExamplesToPrint = 10;
for (int i = 0; i < Global.indexer_2_5.roundSize[1]; ++i)
{
if (riverIndices[i] == 0 && nofExamplesToPrint > 0)
{
int[] cards = new int[7];
Global.indexer_2_5.unindex(Global.indexer_2_5.rounds - 1, i, cards);
Hand hand = new Hand();
hand.Cards.Add(new Card(cards[0]));
hand.Cards.Add(new Card(cards[1]));
hand.Cards.Add(new Card(cards[2]));
hand.Cards.Add(new Card(cards[3]));
hand.Cards.Add(new Card(cards[4]));
hand.Cards.Add(new Card(cards[5]));
hand.Cards.Add(new Card(cards[6]));
hand.PrintColoredCards();
Console.WriteLine();
nofExamplesToPrint--;
}
}
TimeSpan elapsed = DateTime.UtcNow - start;
Console.WriteLine("River clustering completed in {0}d {1}h {2}m {3}s", elapsed.Days,
elapsed.Hours, elapsed.Minutes, elapsed.Seconds);
}
private static void LoadFromFile()
{
if (File.Exists(filenameEMDTurnTable))
{
Console.WriteLine("Loading turn cluster index from file {0}", filenameEMDTurnTable);
turnIndices = FileHandler.LoadFromFileIndex(filenameEMDTurnTable);
}
if (File.Exists(filenameEMDFlopTable))
{
Console.WriteLine("Loading flop cluster index from file {0}", filenameEMDFlopTable);
flopIndices = FileHandler.LoadFromFileIndex(filenameEMDFlopTable);
}
if (flopIndices == null && File.Exists(filenameEMDFlopHistogram))
{
Console.WriteLine("Loading flop histograms from file {0}", filenameEMDFlopHistogram);
histogramsFlop = FileHandler.LoadFromFile(filenameEMDFlopHistogram);
}
if (turnIndices == null && File.Exists(filenameEMDTurnHistogram))
{
Console.WriteLine("Loading turn histograms from file {0}", filenameEMDTurnHistogram);
histogramsTurn = FileHandler.LoadFromFile(filenameEMDTurnHistogram);
}
}
private static void LoadFromFile()
{
if (File.Exists(filenameRiverClusters))
{
riverIndices = FileHandler.LoadFromFileIndex(filenameRiverClusters);
}
else
{
if (File.Exists(filenameRiverHistograms))
{
Console.WriteLine("Loading river histograms from file {0}", filenameRiverHistograms);
BinaryReader binR = new BinaryReader(File.OpenRead(filenameRiverHistograms));
int dim1 = binR.ReadInt32();
int dim2 = binR.ReadInt32();
histogramsRiver = new float[dim1][];
for (int i = 0; i < dim1; ++i)
{
histogramsRiver[i] = new float[dim2];
}
for (int i = 0; i < dim1; ++i)
{
for (int j = 0; j < dim2; ++j)
{
histogramsRiver[i][j] = binR.ReadSingle();
}
}
}
if (File.Exists(filenameOppClusters))
{
Console.WriteLine("Loading flop opponent clusters from file {0}", filenameOppClusters);
using var fileStream = File.OpenRead(filenameOppClusters);
var binForm = new BinaryFormatter();
preflopIndices = (int[])binForm.Deserialize(fileStream);
}
}
}