[mlpack-git] [mlpack/mlpack] NeuralEvolution - implemented gene, genome (#686)

[Marcus Edel]

> +  // TODO: whether randomize, random range, as parameter or not??
> +  Population(Genome& seedGenome, size_t populationSize) {
> +    aPopulationSize = populationSize;
> +    aBestFitness = -1; // -1 denotes haven't evaluate yet.
> +
> +    // Create genomes from seed Genome.
> +    for (size_t i=0; i<populationSize; ++i) {
> +      Genome genome = seedGenome;
> +      genome.Id() = i;
> +      aGenomes.push_back(genome);
> +    }
> +
> +    // Randomize genome weights.
> +    for (size_t i=0; i<populationSize; ++i) {
> +      aGenomes[i].RandomizeWeights(-1, 1);  
> +    }

Do you think it's possible, that someone likes to set another range for the weights? However, this should be good enough for now.


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