private void calculatePxValues(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
nonAnomaliesPxValues = new double[nonAnomaliesSet.getCountOfRecords()];
for (int i = 0; i < nonAnomaliesSet.getCountOfRecords(); i++)
{
nonAnomaliesPxValues[i] = formula.calculate(nonAnomaliesSet.getAllRecords()[i]);
}
anomaliesPxValues = new double[anomaliesSet.getCountOfRecords()];
for (int i = 0; i < anomaliesSet.getCountOfRecords(); i++)
{
anomaliesPxValues[i] = formula.calculate(anomaliesSet.getAllRecords()[i]);
}
}
private void CalculatePxValues(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
this.nonAnomaliesPxValues = new double[nonAnomaliesSet.GetCountOfRecords()];
for (var i = 0; i < nonAnomaliesSet.GetCountOfRecords(); i++)
{
this.nonAnomaliesPxValues[i] = formula.Calculate(nonAnomaliesSet.GetAllRecords()[i]);
}
this.anomaliesPxValues = new double[anomaliesSet.GetCountOfRecords()];
for (var i = 0; i < anomaliesSet.GetCountOfRecords(); i++)
{
this.anomaliesPxValues[i] = formula.Calculate(anomaliesSet.GetAllRecords()[i]);
}
}
public void CalcAccuracy(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
this.CalculatePxValues(nonAnomaliesSet, anomaliesSet, formula);
var maxPxValue = formula.Calculate(formula.GetNu());
var list = new List<KeyValuePair<int, double>>();
var h = maxPxValue / 50;
for (var i = 0; i < 50; i++)
{
var e = 0 + h * i;
var count = this.anomaliesPxValues.Count(value => value < e);
list.Add(new KeyValuePair<int, double>(count, e));
}
formula.SetE(list.First(x => x.Key == list.Max(y => y.Key)).Value);
}
public void calcAccuracy(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
calculatePxValues(nonAnomaliesSet, anomaliesSet, formula);
double max_p_x_value = formula.calculate(formula.getNu());
List<KeyValuePair<int, double>> list = new List<KeyValuePair<int, double>>();
double h = max_p_x_value / 50;
for (int i = 0; i < 50; i++)
{
double e = 0 + h*i;
int count = 0;
foreach (double value in anomaliesPxValues)
{
if (value < e)
{
count++;
}
}
list.Add(new KeyValuePair<int, double>(count, e));
}
formula.setE(list.First(x => x.Key == list.Max(y => y.Key)).Value);
}
private void CalculatePxValues(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
this.nonAnomaliesPxValues = new double[nonAnomaliesSet.GetCountOfRecords()];
for (var i = 0; i < nonAnomaliesSet.GetCountOfRecords(); i++)
{
this.nonAnomaliesPxValues[i] = formula.Calculate(nonAnomaliesSet.GetAllRecords()[i]);
}
this.anomaliesPxValues = new double[anomaliesSet.GetCountOfRecords()];
for (var i = 0; i < anomaliesSet.GetCountOfRecords(); i++)
{
this.anomaliesPxValues[i] = formula.Calculate(anomaliesSet.GetAllRecords()[i]);
}
}
public void CalcAccuracy(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
this.CalculatePxValues(nonAnomaliesSet, anomaliesSet, formula);
var maxPxValue = formula.Calculate(formula.GetNu());
var list = new List <KeyValuePair <int, double> >();
var h = maxPxValue / 50;
for (var i = 0; i < 50; i++)
{
var e = 0 + h * i;
var count = this.anomaliesPxValues.Count(value => value < e);
list.Add(new KeyValuePair <int, double>(count, e));
}
formula.SetE(list.First(x => x.Key == list.Max(y => y.Key)).Value);
}
private void calculatePxValues(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
nonAnomaliesPxValues = new double[nonAnomaliesSet.getCountOfRecords()];
for (int i = 0; i < nonAnomaliesSet.getCountOfRecords(); i++)
{
nonAnomaliesPxValues[i] = formula.calculate(nonAnomaliesSet.getAllRecords()[i]);
}
anomaliesPxValues = new double[anomaliesSet.getCountOfRecords()];
for (int i = 0; i < anomaliesSet.getCountOfRecords(); i++)
{
anomaliesPxValues[i] = formula.calculate(anomaliesSet.getAllRecords()[i]);
}
}
public void calcAccuracy(TrainingSet nonAnomaliesSet, TrainingSet anomaliesSet, PxFormula formula)
{
calculatePxValues(nonAnomaliesSet, anomaliesSet, formula);
double max_p_x_value = formula.calculate(formula.getNu());
List <KeyValuePair <int, double> > list = new List <KeyValuePair <int, double> >();
double h = max_p_x_value / 50;
for (int i = 0; i < 50; i++)
{
double e = 0 + h * i;
int count = 0;
foreach (double value in anomaliesPxValues)
{
if (value < e)
{
count++;
}
}
list.Add(new KeyValuePair <int, double>(count, e));
}
formula.setE(list.First(x => x.Key == list.Max(y => y.Key)).Value);
}
