public override void Apply(Prediction prediction)
{
List <PointPrediction> pointPredictions = prediction.PointPredictions;
if (pointPredictions.Count > 0)
{
Dictionary <int, Point> idPoint = new Dictionary <int, Point>();
foreach (Point p in prediction.Points)
{
idPoint.Add(p.Id, p);
}
IEnumerable <PostGIS.Point> kdeEvalPoints = pointPredictions.Select(p => idPoint[p.PointId].Location);
List <PostGIS.Point> kdeInputPoints = new List <PostGIS.Point>();
foreach (string incident in pointPredictions[0].IncidentScore.Keys.ToArray())
{
if (incident != PointPrediction.NullLabel)
{
double minScore = pointPredictions.Min(p => p.IncidentScore[incident]);
kdeInputPoints.Clear();
foreach (PointPrediction pointPrediction in pointPredictions)
{
PostGIS.Point pointPredictionLocation = idPoint[pointPrediction.PointId].Location;
double replicates = pointPrediction.IncidentScore[incident] / minScore;
for (int i = 0; i < replicates; ++i)
{
kdeInputPoints.Add(pointPredictionLocation);
}
}
List <float> density = KernelDensityDCM.GetDensityEstimate(kdeInputPoints, _sampleSize, false, 0, 0, kdeEvalPoints, _normalize);
for (int i = 0; i < density.Count; ++i)
{
pointPredictions[i].IncidentScore[incident] = density[i];
}
}
}
foreach (PointPrediction pointPrediction in pointPredictions)
{
pointPrediction.TotalThreat = pointPrediction.IncidentScore.Keys.Sum(incident => incident == PointPrediction.NullLabel ? 0 : pointPrediction.IncidentScore[incident]);
}
PointPrediction.UpdateThreatScores(pointPredictions, prediction);
}
prediction.SmoothingDetails = GetSmoothingDetails();
}
private void ok_Click(object sender, EventArgs e)
{
string errors = discreteChoiceModelOptions.ValidateInput() + kernelDensityDcmOptions.ValidateInput();
if (errors != "")
{
MessageBox.Show(errors);
return;
}
_resultingModel = kernelDensityDcmOptions.KernelDensityDCM;
if (_resultingModel == null)
{
_resultingModel = new KernelDensityDCM();
}
discreteChoiceModelOptions.CommitValues(_resultingModel);
kernelDensityDcmOptions.CommitValues(_resultingModel);
DialogResult = System.Windows.Forms.DialogResult.OK;
Close();
}
internal void CommitValues(KernelDensityDCM model)
{
model.TrainingSampleSize = TrainingSampleSize;
model.Normalize = Normalize;
}
public KernelDensityDcmForm(KernelDensityDCM current)
: this()
{
discreteChoiceModelOptions.DiscreteChoiceModel = kernelDensityDcmOptions.KernelDensityDCM = current;
}
