public double CountMatches(NeuralNetwork2 net, bool fullMatchOnly)
{
//This matcher is a little more complex.
//And memoised, because my dev machine has 32GB RAM and even a 4670k only goes so fast.
if (memoize.Count > 100000)
{
memoize.Clear();
}
if (!memoize.ContainsKey(net) || fullMatchOnly)
{
//We have both matched and score to more easily support more complex scoring mechanisms.
//Matched is the number correct. Score could be adjusted.
double matched = 0d;
double score = 0d;
foreach (var pair in matches)
{
//We just run the network, round the result, and compare.
IList <double> output = net.Output(pair.Key);
int normalisedOutput = -1;
if (output.First() > 0.5)
{
normalisedOutput = 1;
}
else if (output.Skip(1).First() > 0.5)
{
normalisedOutput = 0;
}
if (normalisedOutput == pair.Value)
{
matched += 1;
score += 1;
}
}
if (fullMatchOnly)
{
return(matched);
}
memoize[net] = score;
}
return(memoize[net]);
}
public double CountMatches(NeuralNetwork2 net)
{
return(CountMatches(net, false));
}
