/// <summary>
/// Computes the feature vector for all points in array
///
/// Array version
/// </summary>
private PointWithFeatures[] ComputeFeaturesForPoints(Point3D[] points, IData d)
{
PointWithFeatures[] pointsWithFeatures = new PointWithFeatures[points.Count()];
FeatureComputer featureComputer = new FeatureComputer();
for (int i = 0; i < points.Count(); i++)
{
Point3D point = points[i];
double[] featureVector = featureComputer.ComputeFeatureVector(d, point).Features;
pointsWithFeatures[i] = new PointWithFeatures(point, featureVector);
}
return(pointsWithFeatures);
}
/// <summary>
/// Adds random RatedPoints to list until ratedPoints.Count() == count
/// </summary>
/// <param name="ratedPoints"></param>
/// <param name="d"></param>
/// <param name="count"></param>
/// <param name="border"></param>
/// <param name="measures"></param>
/// <param name="rnd"></param>
private void AddPointsToList(List <PointRated> ratedPoints, IData d, int count, int border, int[] measures, Random rnd)
{
FeatureComputer featureComputer = new FeatureComputer();
while (ratedPoints.Count() < count)
{
Point3D point = GenerateRandomPoint(border, measures, rnd);
PointWithFeatures pointWithFeatures = new PointWithFeatures(point, featureComputer.ComputeFeatureVector(d, point).Features);
PointRated ratedPoint = new PointRated(pointWithFeatures, RatePoint(pointWithFeatures));
ratedPoints.Add(ratedPoint);
}
}
public PointRated(PointWithFeatures point, double rating) : base(point.X, point.Y, point.Z, point.featureVector)
{
this.rating = rating;
}
private double RatePoint(PointWithFeatures point)
{
return(RateVector(point.featureVector));
}
