//calculating the Line for each element in the List.
private void CreateForm(TimeSeries ts)
{
for (var i = 0; i < _cf.Count; i++)
{
var array = new Point[ts.GetRowSize()];
for (var j = 0; j < ts.GetRowSize(); j++)
{
array[j] = new Point(ts.GetColumn(_cf[i].Feature1)[j], ts.GetColumn(_cf[i].Feature2)[j]);
_cf[i].AllPoints.Add(array[j]);
}
var line = CreateCorrelativeForm(array);
_cf[i] = new CorrelatedFeatures(_cf[i].Feature1, _cf[i].Feature2, _cf[i].Correlation, line);
//float th = FindThreshold(array, Cf[i]);
//Cf[i] = new CorrelatedFeatures(Cf[i].Feature1, Cf[i].Feature2, Cf[i].Correlation, th, line);
}
}
//calculating the Line for each element in the List.
public void CreateForm(TimeSeries ts)
{
for (var i = 0; i < Cf.Count; i++)
{
Point[] array = new Point[ts.GetRowSize()];
for (int j = 0; j < ts.GetRowSize(); j++)
{
array[j] = new Point(ts.GetColumn(Cf[i].Feature1)[j], ts.GetColumn(Cf[i].Feature2)[j]);
Cf[i].AllPoints.Add(array[j]);
}
Line line = CreateCorrelativeForm(array);
Cf[i] = new CorrelatedFeatures(Cf[i].Feature1, Cf[i].Feature2, Cf[i].Correlation, 0, line);
//float th = FindThreshold(array, Cf[i]);
//Cf[i] = new CorrelatedFeatures(Cf[i].Feature1, Cf[i].Feature2, Cf[i].Correlation, th, line);
}
}