/// <summary>
/// Create a new instance of <see cref="INeatExperiment{T}"/>.
/// </summary>
/// <param name="configElem">Experiment config in json form.</param>
/// <returns>A new instance of <see cref="INeatExperiment{T}"/>.</returns>
public INeatExperiment <double> CreateExperiment(JsonElement configElem)
{
// Create an evaluation scheme object for the binary 11-multiplexer task.
var evalScheme = new BinaryElevenMultiplexerEvaluationScheme();
// Create a NeatExperiment object with the evaluation scheme,
// and assign some default settings (these can be overridden by config).
var experiment = new NeatExperiment <double>(evalScheme, this.Id)
{
IsAcyclic = true,
ActivationFnName = ActivationFunctionId.LeakyReLU.ToString()
};
// Read standard neat experiment json config and use it configure the experiment.
NeatExperimentJsonReader <double> .Read(experiment, configElem);
return(experiment);
}
private IGenomeListEvaluator <NeatGenome <double> > CreateGenomeListEvaluator(
out int inputCount, out int outputCount)
{
var genomeDecoder = NeatGenomeDecoderFactory.CreateGenomeAcyclicDecoder(true);
IBlackBoxEvaluationScheme <double> blackBoxEvaluationScheme = new BinaryElevenMultiplexerEvaluationScheme();
//// Create function regression evaluation scheme.
//int sampleResolution = 20;
//double sampleMin = 0;
//double sampleMax = 6.283185;
//var paramSamplingInfo = new ParamSamplingInfo(sampleMin, sampleMax, sampleResolution);
//IBlackBoxEvaluationScheme<double> blackBoxEvaluationScheme = new FuncRegressionEvaluationScheme(FunctionFactory.GetFunction(FunctionId.Sin), paramSamplingInfo, 0.3);
var genomeListEvaluator = GenomeListEvaluatorFactory.CreateEvaluator(
genomeDecoder,
blackBoxEvaluationScheme,
createConcurrentEvaluator: true);
inputCount = blackBoxEvaluationScheme.InputCount;
outputCount = blackBoxEvaluationScheme.OutputCount;
return(genomeListEvaluator);
}
