public override void Evaluate(TrainingDatas td)
{
// I just realized I need the BP error function here
// TODO: use proper cost function
Parallel.ForEach(Species, new ParallelOptions()
{
MaxDegreeOfParallelism = Rng.Cores
}, (Specie) => {
// Loop through species
Specie.Fitness = 0;
for (int iTd = 0; iTd < td.Count; iTd++)
{
// Loop through training datas
float[] pred = Specie.GetPrediction(td[iTd].Input);
for (int i = 0; i < pred.Length; i++)
{
// Loop througo output neurons
//float _cost = pred[i] && td[iTd].Target[i];
float _cost = Rng.FloatingAnd(pred[i], td[iTd].Target[i]);
Specie.Fitness += _cost;
}
}
});
}
public override void StartChaos(TrainingDatas tds, int mutationIteration = 3600)
{
for (int i = 0; i < mutationIteration; i++)
{
foreach (Tribe tribe in tribes)
{
tribe.Train(tds);
}
}
}
public override void StartChaos(TrainingDatas tds, int mutationIteration = 3600)
{
for (int i = 0; i < mutationIteration; i++)
{
Parallel.ForEach(tribes, new ParallelOptions()
{
MaxDegreeOfParallelism = Rng.Cores
}, (tribe) => {
tribe.Train(tds);
});
}
}
public override void Train(TrainingDatas td, int mutationIteration = 3600)
{
for (int i = 0; i < 3600; i++)
{
Mutate();
}
Evaluate(td);
int purgeRNG = new Random().Next(1, 12);
for (int i = 0; i < purgeRNG; i++)
{
Purge();
}
Reproduce();
Evaluate(td);
}
public override void Evaluate(TrainingDatas td)
{
for (int iSpecie = 0; iSpecie < Species.Count; iSpecie++)
{
// Loop through species
Species[iSpecie].Fitness = 0;
for (int iTd = 0; iTd < td.Count; iTd++)
{
// Loop through training datas
float[] pred = Species[iSpecie].GetPrediction(td[iTd].Input);
for (int i = 0; i < pred.Length; i++)
{
// Loop througo output neurons
//float _cost = pred[i] && td[iTd].Target[i];
float _cost = Rng.FloatingAnd(pred[i], td[iTd].Target[i]);
Species[iSpecie].Fitness += _cost;
}
}
}
}
/// <summary> /// Start Chaos /// </summary> /// <param name="td"></param> public abstract void Train(TrainingDatas td, int mutationIteration = 3600);
public abstract void Evaluate(TrainingDatas td);
public abstract void StartChaos(TrainingDatas tds, int mutationIteration = 3600);
