[mlpack-git] [mlpack/mlpack] Neural evolution algorithms implementation (CNE, NEAT, HyperNEAT) (#686)

[Excalibur]

> +  std::vector<NeuronGene> neuronGenes;
> +  std::vector<LinkGene> linkGenes;
> +
> +  NeuronGene inputGene1(0, INPUT, LINEAR, 0, 0, 0);
> +  NeuronGene inputGene2(1, INPUT, LINEAR, 0, 0, 0);
> +  NeuronGene biasGene(2, BIAS, LINEAR, 0, 0, 0);
> +  NeuronGene outputGene(3, OUTPUT, SIGMOID, 1, 0, 0);
> +  NeuronGene hiddenGene(4, HIDDEN, SIGMOID, 0.5, 0, 0);
> +
> +  neuronGenes.push_back(inputGene1);
> +  neuronGenes.push_back(inputGene2);
> +  neuronGenes.push_back(biasGene);
> +  neuronGenes.push_back(outputGene);
> +  neuronGenes.push_back(hiddenGene);
> +
> +  LinkGene link1(0, 3, 0, 1, true);

Oh yeah! Right, revised it!

2016-07-16 11:15 GMT-06:00 Marcus Edel <notifications at github.com>:

> In src/mlpack/tests/ne_test.cpp
> <https://github.com/mlpack/mlpack/pull/686#discussion_r71069041>:
>
> > +  std::vector<NeuronGene> neuronGenes;
> > +  std::vector<LinkGene> linkGenes;
> > +
> > +  NeuronGene inputGene1(0, INPUT, LINEAR, 0, 0, 0);
> > +  NeuronGene inputGene2(1, INPUT, LINEAR, 0, 0, 0);
> > +  NeuronGene biasGene(2, BIAS, LINEAR, 0, 0, 0);
> > +  NeuronGene outputGene(3, OUTPUT, SIGMOID, 1, 0, 0);
> > +  NeuronGene hiddenGene(4, HIDDEN, SIGMOID, 0.5, 0, 0);
> > +
> > +  neuronGenes.push_back(inputGene1);
> > +  neuronGenes.push_back(inputGene2);
> > +  neuronGenes.push_back(biasGene);
> > +  neuronGenes.push_back(outputGene);
> > +  neuronGenes.push_back(hiddenGene);
> > +
> > +  LinkGene link1(0, 3, 0, 1, true);
>
> Maybe I missed something but I think each link should have a different
> innovation number.
>
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