public double GetFeatureFieldGrade(int feature, int fieldindex)
{
double finalgrade = 0;
if (fieldindex < 0)
{
return(0);
}
SingleFieldStatistics Field = fieldList.Where(a => a.index == fieldindex).FirstOrDefault();
double tempgrade = 0;
double CountResult = fieldList.Where(a => !a.Equals(Field)).SelectMany(a => a.Features).Count() + notAName.Features.Count;
double FieldmaxSTD = Field.GetAverge(feature) + Field.GetSTD(feature);
double FieldminSTD = Field.GetAverge(feature) - Field.GetSTD(feature);
foreach (SingleFieldStatistics singlefield in fieldList)
{
// tempgrade = Math.Abs(Field.GetAverge(feature) - singlefield.GetAverge(feature)) - (Field.GetSTD(feature) + singlefield.GetSTD(feature)) * singlefield.Features.Count() / CountResult;
tempgrade += singlefield.Features.Select(a => a[feature]).Select(a => a < FieldminSTD ? 1 : (a > FieldmaxSTD) ? 1 : 0).Sum();
// finalgrade += tempgrade > 0 ? tempgrade : 0;
}
tempgrade += notAName.Features.Select(a => a[feature]).Select(a => a < FieldminSTD ? 1 : (a > FieldmaxSTD) ? 1 : 0).Sum();
// tempgrade = Math.Abs(Field.GetAverge(feature) - notAName.GetAverge(feature)) - (Field.GetSTD(feature) + notAName.GetSTD(feature)) * notAName.Features.Count() / CountResult;
// finalgrade += tempgrade > 0 ? tempgrade : 0;
finalgrade = Math.Round(tempgrade / CountResult, 2) * 100;
Field.Grades[feature] = finalgrade;
return(finalgrade);
}
public Histograms GetFeatureFieldHistogram(double interval, int feature, SingleFieldStatistics field)
{
var maxValue = fieldList.SelectMany(a => a.Features).Select(x => x[feature]).Max();
var maxnogolden = notAName.Features.Select(x => x[feature]).Max();
maxValue = Math.Max(maxValue, maxnogolden);
// var maxValue = field.Features.Select(x => x[feature]).Max();
var histogram = new Histograms(10, maxValue);
foreach (var featureGrade in field.Features.Select(x => x[feature]))
{
histogram.Add(featureGrade);
}
double newMax = histogram.RemoveEdgeMax();
var Newhistogram = new Histograms(10, newMax);
foreach (var featureGrade in field.Features.Select(x => x[feature]))
{
Newhistogram.Add(featureGrade);
}
return(Newhistogram);
}
public void AddModelFeatures(double[] features, int FieldIndex)
{
if (FieldIndex < 0)
{
notAName.AddFeature(features);
}
else
{
SingleFieldStatistics field = fieldList.Where(a => a.index == FieldIndex).FirstOrDefault();
if (field == null)
{
return;
}
field.AddFeature(features);
}
}
public FeatureStatistics()
{
fieldList = new List <SingleFieldStatistics>();
notAName = new SingleFieldStatistics("", -1);
}
