private static IGenomeDecoder <NeatGenome <double>, IBlackBox <double> > CreateGenomeDecoder(
INeatExperiment <double> neatExperiment)
{
if (neatExperiment.IsAcyclic)
{
return(NeatGenomeDecoderFactory.CreateGenomeDecoderAcyclic(
neatExperiment.EnableHardwareAcceleratedNeuralNets));
}
return(NeatGenomeDecoderFactory.CreateGenomeDecoderCyclic(
neatExperiment.CyclesPerActivation,
neatExperiment.EnableHardwareAcceleratedNeuralNets));
}
private static void VerifyNeuralNetResponseInner(bool enableHardwareAcceleration)
{
var activationFnFactory = new DefaultActivationFunctionFactory <double>(enableHardwareAcceleration);
var metaNeatGenome = new MetaNeatGenome <double>(4, 1, true, activationFnFactory.GetActivationFunction("LeakyReLU"));
// Load test genome.
NeatGenomeLoader <double> loader = NeatGenomeLoaderFactory.CreateLoaderDouble(metaNeatGenome);
NeatGenome <double> genome = loader.Load("TestData/binary-three-multiplexer.genome");
// Decode genome to a neural net.
var genomeDecoder = NeatGenomeDecoderFactory.CreateGenomeDecoderAcyclic();
IBlackBox <double> blackBox = genomeDecoder.Decode(genome);
// Evaluate the neural net.
var evaluator = new BinaryThreeMultiplexerEvaluator();
// Confirm the expected fitness (to a limited amount of precision to allow for small variations of floating point
// results that can occur as a result of platform/environmental variations).
FitnessInfo fitnessInfo = evaluator.Evaluate(blackBox);
Assert.Equal(107.50554956432657, fitnessInfo.PrimaryFitness, 6);
}