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

[Marcus Edel]

> +    return -1;  // -1 means no match found, a new innovation.
> +  }
> +
> +  // Check whether a neuron innovation already exist.
> +  ssize_t CheckNeuronInnovation(ssize_t splitLinkInnovId) {
> +    for (ssize_t i=0; i<aNeuronInnovations.size(); ++i) {
> +      if (aNeuronInnovations[i].splitLinkInnovId == splitLinkInnovId) {
> +        return i;
> +      }
> +    }
> +
> +    return -1;
> +  }
> +
> +  // Add a new link innovation.
> +  LinkInnovation AddLinkInnovation(ssize_t fromNeuronId, ssize_t toNeuronId) {

I think it's a good idea to use a reference here:

``
 AddLinkInnovation(ssize_t fromNeuronId, ssize_t toNeuronId, LinkInnovation& linkInnov)
``

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