/// <summary>
/// Computes the rating for all points in input array based on RateVector()
///
/// Array version
/// </summary>
/// <param name="pointsWithFeatures"></param>
/// <returns></returns>
private PointRated[] RatePoints(PointWithFeatures[] pointsWithFeatures)
{
PointRated[] ratedPoints = new PointRated[pointsWithFeatures.Count()];
double rating;
for (int i = 0; i < ratedPoints.Count(); i++)
{
rating = RateVector(pointsWithFeatures[i].featureVector);
ratedPoints[i] = new PointRated(pointsWithFeatures[i], rating);
}
return(ratedPoints);
}
/// <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);
}
}
