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

[Excalibur]

> +    return aDepth;
> +  }
> +
> +  // Set neurons' input and output to zero.
> +  void Flush() {
> +    for (unsigned int i=0; i<aNeuronGenes.size(); ++i) {
> +      aNeuronGenes[i].aActivation = 0;
> +      aNeuronGenes[i].aInput = 0;
> +    }
> +  }
> +
> +  // Activate genome. The last dimension of input is always 1 for bias. 0 means no bias.
> +  void Activate(std::vector<double>& input) {
> +    assert(input.size() == aNumInput);
> +    Flush();
> +

@zoq Yeah, seems reasonable. I add the Flush() step to make sure it will be correct for activation. But I also think it seems not a required step.

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