private float ProcessResults(ParameterSetting[] param)
{
TransitLines currentLines = new TransitLines(this.MacroOutputFile);
var predicted = currentLines.Lines;
var numberOfLines = predicted.Length;
double rmse = 0;
double mabs = 0;
double terror = 0;
float[] aggToTruth = new float[this.Truth.Length];
List <KeyValuePair <string, float> > Orphans = new List <KeyValuePair <string, float> >();
for (int i = 0; i < numberOfLines; i++)
{
int index = -1;
bool orphan = true;
for (int j = 0; j < this.Truth.Length; j++)
{
bool found = false;
foreach (var line in predicted[i].ID)
{
if (this.Truth[j].ID.Contains(line))
{
index = j;
found = true;
break;
}
}
if (found)
{
orphan = false;
aggToTruth[j] += predicted[i].Bordings;
break;
}
}
if (orphan)
{
Orphans.Add(new KeyValuePair <string, float>(predicted[i].ID[0], predicted[i].Bordings));
}
}
for (int i = 0; i < this.Truth.Length; i++)
{
var error = aggToTruth[i] - this.Truth[i].Bordings;
rmse += error * error;
mabs += Math.Abs(error);
terror += error;
}
var value = this.EstimationAI.UseComplexErrorFunction ? this.EstimationAI.ComplexErrorFunction(this.Parameters, this.Truth, predicted, aggToTruth) : this.EstimationAI.ErrorCombinationFunction(rmse, mabs, terror);
if (value < this.BestRunError)
{
SaveBordingData(aggToTruth, Orphans);
this.BestRunError = value;
}
SaveEvaluation(param, value, rmse, mabs, terror);
return(value);
}
private float ProcessResults()
{
TransitLines currentLines = new TransitLines(MacroOutputFile);
var predicted = currentLines.Lines;
var numberOfLines = predicted.Length;
double rmse = 0;
double mabs = 0;
double terror = 0;
float[] aggToTruth = new float[Truth.Length];
List <KeyValuePair <string, float> > orphans = new List <KeyValuePair <string, float> >();
for (int i = 0; i < numberOfLines; i++)
{
bool orphan = true;
for (int j = 0; j < Truth.Length; j++)
{
bool found = false;
foreach (var line in predicted[i].Id)
{
if (Truth[j].Id.Contains(line))
{
found = true;
break;
}
}
if (found)
{
orphan = false;
aggToTruth[j] += predicted[i].Bordings;
break;
}
}
if (orphan)
{
orphans.Add(new KeyValuePair <string, float>(predicted[i].Id[0], predicted[i].Bordings));
}
}
for (int i = 0; i < Truth.Length; i++)
{
var error = aggToTruth[i] - Truth[i].Bordings;
rmse += error * error;
mabs += Math.Abs(error);
terror += error;
}
var value = Ai.UseComplexErrorFunction ? Ai.ComplexErrorFunction(Parameters, Truth, predicted, aggToTruth) : Ai.ErrorCombinationFunction(rmse, mabs, terror);
if (value < BestRunError)
{
SaveBordingData(aggToTruth, orphans);
BestRunError = value;
}
return(value);
}
