public Simple(XLSReader Reader)
{
foreach (var obj in Reader.ReadHeaders(4))
{
continue;
}
countParams = 20;
Valuyer = new Dictionary <int, Dictionary <string, int> >();
NetWorker = new NeuroNetWorker("SimpleMethod" + Reader.FileName, countParams, edge: false);
P = 0;
N = 0;
TP = 0;
FP = 0;
TN = 0;
FN = 0;
}
private void CalculateStat(XLSReader Reader, int row, int result)
{
N++;
foreach (var obj in Reader.ReadColumn(row, columnStop: 1))
{
if (result.ToString() == obj.Item2)
P++;
if (result == 1 && obj.Item2 == "1")
TP++;
if (result == 0 && obj.Item2 == "0")
TN++;
if (result == 1 && obj.Item2 == "0")
FP++;
if (result == 0 && obj.Item2 == "1")
FN++;
}
}
public void Train(XLSReader Reader, List<int> sample)
{
double[,] xy = new double[sample.Count, objPreparator.Count + 1];
int i = 0, j = 0;
foreach (int index in Reader.ReadRow(true, sample))
{
foreach (var obj in Reader.ReadColumn(index, 4))
{
xy[i, j] = objPreparator.GetValue(obj.Item1, obj.Item2);
j++;
}
foreach (var obj in Reader.ReadColumn(index, columnStop: 1))
xy[i, j] = double.Parse(obj.Item2);
i++;
j = 0;
}
NetWorker.Training(xy, sample.Count);
}
public void Train(XLSReader reader, List <int> sample)
{
double[,] xy = new double[sample.Count, countParams + 1];
int i = 0, j = 0;
foreach (int index in reader.ReadRow(true, sample))
{
foreach (var obj in reader.ReadColumn(index, 4))
{
xy[i, j] = Contactor(obj.Item1, obj.Item2);
j++;
}
foreach (var obj in reader.ReadColumn(index, columnStop: 1))
{
xy[i, j] = Contactor(obj.Item1, obj.Item2);
}
i++;
j = 0;
}
NetWorker.Training(xy, sample.Count);
}
public List <Viewer> Analyze(XLSReader Reader, List <int> sample)
{
P = 0;
N = 0;
TP = 0;
FP = 0;
TN = 0;
FN = 0;
List <Viewer> resList = new List <Viewer>();
StringBuilder inputString = new StringBuilder();
StringBuilder storesString = new StringBuilder();
double[] input = new double[countParams];
double[] result;
int index;
foreach (int i in Reader.ReadRow(sample: sample))
{
inputString.Clear();
storesString.Clear();
foreach (var obj in Reader.ReadColumn(i, 4))
{
inputString.Append(obj.Item2 + ", ");
input[obj.Item1 - 4] = Contactor(obj.Item1, obj.Item2);
storesString.Append(input[obj.Item1 - 4] + ", ");
}
result = NetWorker.Process(input);
index = result[0] >= 0.5 ? 0 : 1;
CalculateStat(Reader, i, index);
inputString.Remove(inputString.Length - 2, 2);
storesString.Remove(storesString.Length - 2, 2);
resList.Add(new Viewer {
Input = inputString.ToString(), Prep = storesString.ToString(), Res = index.ToString()
});
}
return(resList);
}
private void FileLoad_Click(object sender, RoutedEventArgs e)
{
string fileName = OpenFile();
if (String.IsNullOrWhiteSpace(fileName))
{
MessageBox.Show("Ошибка выбора файла");
return;
}
FileLoad.IsEnabled = false;
FileClose.IsEnabled = true;
SimpleMethod.IsEnabled = true;
MiddleMethod.IsEnabled = true;
CaseMethod.IsEnabled = true;
Reader = new XLSReader(fileName);
CreateSampleList(400);
simple = new Simple(Reader);
//average = new АverageMethod(Reader);
//caseMethod = new Case(Reader);
CreateSampleList(400);
CreateSample.IsEnabled = true;
}
