public static double Score(WeightSet weights, Dictionary <string, double> features)
{
//double score = weights["intercept"];
double score = 0.0;
foreach (string feature in weights.FeatureList)
{
score += weights.Weights[feature] * features[feature];
}
return(score);
}
public static Point AimCannons(MapGenerator myMap, WeightSet weights, bool printB = false)
{
// Look for open space with highest probability
Point shootAt = new Point();
bool firstOpenSpaceFoundB = false;
double highestProb = 0.0f;
List <DataPoint> possiblePoints = new List <DataPoint>();
foreach (MapSpace m in myMap.CurrentMap.Cells)
{
if (m.State == SpaceState.Open)
{
if (firstOpenSpaceFoundB == false)
{
firstOpenSpaceFoundB = true;
shootAt = m.Coords;
}
double prob = 0.0f;
DataPoint d = new DataPoint(myMap.CurrentMap, m.Coords);
prob = MLHelper.Probability(weights, d.Features);
prob = Math.Round(prob, 10);
//Log(String.Format("{0}",prob));
if (prob > highestProb)
{
highestProb = prob;
possiblePoints = new List <DataPoint>();
}
if (prob == highestProb)
{
possiblePoints.Add(d);
}
}
}
Random rnd = new Random();
if (possiblePoints.Count > 0)
{
shootAt = possiblePoints[rnd.Next(0, possiblePoints.Count)].Coords;
}
if (printB == true)
{
Console.WriteLine("HIGHEST PROB: " + highestProb);
Console.WriteLine("POINTS: " + possiblePoints.Count);
}
return(shootAt);
}
public static double Probability(WeightSet weights, Dictionary <string, double> features)
{
double score = MLHelper.Score(weights, features);
return(1.0f / (1.0f + Math.Pow(Math.E, (-1.0f * score))));
}
public static Point AimCannons(dynamic state, WeightSet weights)
{
return(AimCannons(new MapGenerator(state), weights));
}