public NeuralNetworkDTO ToDTO()
{
var species = new SpeciesDTO[_speciesStack.Count];
for (var i = 0; i < species.Length; i++)
{
species[i] = _speciesStack[i].ToDTO();
}
return(new NeuralNetworkDTO()
{
Layers = _layers,
Species = species
});
}
public SpeciesDTO ToDTO()
{
var result = new SpeciesDTO();
result.Fitness = Fitness;
result.FamilyFactor = FamilyFactor;
result.Weights = new TensorDTO[Weights.Length];
for (var i = 0; i < Weights.Length; i++)
{
result.Weights[i] = Weights[i].ToDTO();
}
result.Biases = new TensorDTO[Biases.Length];
for (var i = 0; i < Biases.Length; i++)
{
result.Biases[i] = Biases[i].ToDTO();
}
result.FirstParent = FirstParent;
result.HistoricMaxFitness = HistoricMaxFitness;
result.BestStage = BestStage;
result.HistoricStage = HistoricStage;
return(result);
}
public static Species FromDTO(SpeciesDTO dto)
{
var result = new Species();
result.Fitness = dto.Fitness;
result.FamilyFactor = dto.FamilyFactor;
result.Weights = new Tensor[dto.Weights.Length];
for (var i = 0; i < dto.Weights.Length; i++)
{
result.Weights[i] = Tensor.NewFromDTO(dto.Weights[i]);
}
result.Biases = new Tensor[dto.Biases.Length];
for (var i = 0; i < dto.Biases.Length; i++)
{
result.Biases[i] = Tensor.NewFromDTO(dto.Biases[i]);
}
result.FirstParent = dto.FirstParent;
result.HistoricMaxFitness = dto.HistoricMaxFitness;
result.BestStage = dto.BestStage;
result.HistoricStage = dto.HistoricStage;
return(result);
}
