internal void Add(PredictionAlgorithm type, long absoluteTime, long flightTime, Vector futureLocation)
{
if (!_predictions.ContainsKey(type))
{
_predictions.Add(type, new Dictionary <long, Vector>());
}
var futureTime = absoluteTime + flightTime;
if (_predictions[type].ContainsKey(futureTime))
{
_predictions[type][futureTime] = futureLocation;
}
else
{
_predictions[type].Add(futureTime, futureLocation);
}
// remove expired predictions for all guntypes
foreach (var key in _predictions.Keys)
{
var toRemove = _predictions[key].Where(p => p.Key < absoluteTime).ToList();
if (toRemove.Any())
{
foreach (var tr in toRemove)
{
_predictions[key].Remove(tr.Key);
}
}
}
}
public PredictionAlgorithm GetBestPredictionAlgorithm(Blips blips, long absoluteTime)
{
foreach (var type in _predictions.Keys)
{
if (_predictions[type].Any() && blips.Any())
{
double score = _predictions[type].Aggregate(0d, (seed, prediction) =>
{
Vector actual = blips.Interpolate(prediction.Key);
if (actual != null)
{
const double limit = 160;
double dx = Math.Abs(prediction.Value.X - actual.X);
double dy = Math.Abs(prediction.Value.Y - actual.Y);
double h = Math.Sqrt(dx * dx + dy * dy);
return(seed + (h >= limit ? 0d : limit - h));
}
return(seed);
});
if (_scores.ContainsKey(type))
{
_scores[type] += score;
}
else
{
_scores.Add(type, score);
}
}
}
_scores.OrderByDescending(kvp => kvp.Value).ForEach(kvp => Out.WriteLine("Score: {1} {0}", kvp.Key, kvp.Value));
double?maxScore = null;
PredictionAlgorithm retval = null;
foreach (var type in _scores.Keys)
{
if (!maxScore.HasValue || _scores[type] > maxScore.Value)
{
maxScore = _scores[type];
retval = type;
}
}
//foreach (var type in _scores.Keys)
//{
// //clean up bad predictions
// if (_scores[type] <= 0d)
// {
// _predictions[type].Clear();
// }
//}
return(retval);
}
