public void clasifyKnnThread(KNN knn, int from, int to)
{
if (to > dataValues.Count)
{
to = dataValues.Count;
}
for (int i = from; i < to; i++)
{
knn.setClass(dataValues[i]);
}
}
private void runKnnInThreads(KNN knn, DataSet data)
{
int tuplesInThread = data.DataValues.Count / MAX_THREADS;
int from = 0;
List <int> froms = new List <int>();
froms.Add(0);
for (int i = 1; i < MAX_THREADS; i++)
{
froms.Add(froms[i - 1] + tuplesInThread);
}
foreach (var v in froms)
{
Console.WriteLine(v);
}
List <System.Threading.Thread> tasks = new List <System.Threading.Thread>();
for (int i = 0; i < MAX_THREADS - 1; i++)
{
System.Threading.Monitor.Enter(semaphore);
Object fr = new object();
fr = from;
System.Threading.Thread thread = new System.Threading.Thread(delegate() {
runKnn(data, knn, (int)fr, (int)fr + tuplesInThread);
});
tasks.Add(thread);
thread.Start();
from += tuplesInThread;
System.Threading.Monitor.Exit(semaphore);
}
System.Threading.Thread lastThread = new System.Threading.Thread(delegate() {
runKnn(data, knn, from, data.DataValues.Count);
});
tasks.Add(lastThread);
lastThread.Start();
foreach (var temp in tasks)
{
temp.Join();
}
}
public void KNNClassification(string trainingPath, string trainingName, string dataPath, string dataName, char separator = ';', int k = 3)
{
DataSet trainingSet = new DataSet(trainingPath + "\\" + trainingName + ".txt", separator, true);
DataSet dataSet = new DataSet(dataPath + "\\" + dataName + ".txt", separator, true);
Globals.stopWatch.Start();
KNN knn = new KNN(trainingSet, k);
Globals.stopWatch.Stop();
Globals.printElapsedTimeResetWatch(Globals.stopWatch.Elapsed, "Training data set");
Globals.stopWatch.Start();
runKnnInThreads(knn, dataSet);
//foreach (var v in dataSet.DataValues) knn.setClass(v);
Globals.stopWatch.Stop();
Globals.printElapsedTimeResetWatch(Globals.stopWatch.Elapsed, "Test data set");
Globals.stopWatch.Start();
dataSet.saveToFile(dataPath, dataName, separator);
Globals.stopWatch.Stop();
Globals.printElapsedTimeResetWatch(Globals.stopWatch.Elapsed, "Saving result to file");
}
private void runKnn(DataSet data, KNN knn, int from, int to)
{
data.clasifyKnnThread(knn, from, to);
}