/// <summary>Evaluates a solution individual using the best predictor so far.</summary>
protected internal virtual void PredictIndividual(GAIndividual inIndividual, bool duringSimplify)
{
FloatRegFitPredictionIndividual predictor = (FloatRegFitPredictionIndividual)_predictorGA.GetBestPredictor();
float fitness = predictor.PredictSolutionFitness((PushGPIndividual)inIndividual);
inIndividual.SetFitness(fitness);
inIndividual.SetErrors(new List <float>());
}
protected internal override void EvaluateIndividual(GAIndividual inIndividual)
{
FloatRegFitPredictionIndividual predictor = (FloatRegFitPredictionIndividual)inIndividual;
List <float> errors = new List <float>();
for (int i = 0; i < _trainerPopulationSize; i++)
{
float predictedError = predictor.PredictSolutionFitness(_trainerPopulation[i]);
// Error is difference between predictedError and the actual fitness
// of the trainer.
float error = Math.Abs(predictedError) - Math.Abs(_trainerPopulation[i].GetFitness());
errors.Add(error);
}
predictor.SetFitness(AbsoluteAverageOfErrors(errors));
predictor.SetErrors(errors);
}